WO2019200946A1 - Gc-q-orbitrap-based electronic identification database of pesticide compounds in edible agricultural products and detection method - Google Patents

Gc-q-orbitrap-based electronic identification database of pesticide compounds in edible agricultural products and detection method Download PDF

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WO2019200946A1
WO2019200946A1 PCT/CN2018/120999 CN2018120999W WO2019200946A1 WO 2019200946 A1 WO2019200946 A1 WO 2019200946A1 CN 2018120999 W CN2018120999 W CN 2018120999W WO 2019200946 A1 WO2019200946 A1 WO 2019200946A1
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pesticide
ion
orbitrap
mass
fragment
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PCT/CN2018/120999
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French (fr)
Chinese (zh)
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庞国芳
范春林
吴兴强
韩奎国
常巧英
张紫娟
陈辉
白若镔
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中国检验检疫科学研究院
北京合众恒星检测科技有限公司
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Priority claimed from CN201810337240.9A external-priority patent/CN108760909A/en
Application filed by 中国检验检疫科学研究院, 北京合众恒星检测科技有限公司 filed Critical 中国检验检疫科学研究院
Priority to US16/314,619 priority Critical patent/US11181512B2/en
Publication of WO2019200946A1 publication Critical patent/WO2019200946A1/en

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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02Column chromatography
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01NINVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
    • G01N30/00Investigating or analysing materials by separation into components using adsorption, absorption or similar phenomena or using ion-exchange, e.g. chromatography or field flow fractionation
    • G01N30/02Column chromatography
    • G01N30/04Preparation or injection of sample to be analysed
    • G01N30/06Preparation

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  • the invention designs an electronic identity database and a detection method for pesticide compounds in edible agricultural products based on GC-Q-Orbitrap, and the invention can realize non-target, multi-index and rapid screening for more than 600 pesticide residues in various edible agricultural products.
  • the analysis of pesticide residues is mainly based on gas chromatography, liquid chromatography, gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry.
  • These detection techniques first need to be qualitatively compared to pesticide standards. For example, the detection of 100 pesticides requires the preparation of the corresponding 100 pesticide standard controls, and these 100 pesticides will be missed. In the actual work of pesticide residue laboratories, most laboratories do not stock hundreds of pesticide standards. The reason is that pesticide standards are not only expensive, but also valid for only 2 or 3 years, requiring repeated investment. There are only a few dozen standard pesticide standards in the laboratory, and the number of pesticides that are routinely monitored is limited to these dozens, which leads to food safety monitoring loopholes.
  • the invention solves the problem that the rapid detection of multiple pesticides at the same time can not be realized in the current pesticide residue screening technology method, and develops an electronic identity database and detection method of pesticide compounds based on GC-Q-Orbitrap for edible agricultural products, which realizes that no need Standard product control can quickly screen and detect more than 600 pesticide residues in agricultural products, which meets the urgent need for rapid detection of high-throughput pesticide residues in agricultural products.
  • An electronic identity database of pesticide compounds in edible agricultural products based on GC-Q-Orbitrap comprising a plurality of pesticide compound electronic identification cards, including pesticide compound information, retention time, mass spectrum, and fragment ion information, characteristics thereof Lie in:
  • the pesticide compound information includes a compound name, a compound molecular formula
  • the mass spectrum is a first-level full scan obtained by the GC-Q-Orbitrap instrument at the retention time;
  • the fragment ions are determined by selection in the mass spectrum, and the fragment ions include one base peak ion and a plurality of confirming ions, and the base peak ions are fragment ions having high signal intensity and large mass, the base peak The ion does not select the ion of the isotope peak;
  • the fragment ion information includes an ion abundance ratio and a theoretical accurate mass number
  • the ion abundance ratio is a signal intensity ratio of the fragment ion to the base peak ion;
  • the database is sorted by retention time in the electronic ID card.
  • the electronic identity database further includes an intelligent matching model, and the matching model adds an intelligent matching value P m to the electronic identity card, and the computing model is:
  • M b is the theoretical exact mass of the base peak ion
  • M i is the exact mass of the ith confirmed ion
  • W i is the weight
  • I i is the ion abundance ratio of the ith confirmed ion, confirming the order of the ions
  • the ion abundance ratio is from large to small
  • W b is the weight of the base peak ion
  • W q is the comprehensive weight of the confirmed ion
  • n is the number of fragment ions.
  • the selection of the fragment ions depends on the ion abundance and the ion mass number, wherein the ion abundance is the signal intensity of the ions in the mass spectrum, and the number of the fragment ions is five, and the principle of the fragment ion selection is :
  • , M i , M j are the exact masses of the two closest fragment ions, The arrangement of the ion fragments is in accordance with the ion abundance ratio from large to small.
  • M i is the exact mass of the i-th fragment ion element
  • n is the number of elements of the fragment ion
  • y i is the number of elements corresponding to the i-th fragment ion.
  • M' M 1 y' 1 +M 2 y' 2 +...+M n y' n
  • M 1 , M 2 , ..., M n is the exact mass of the fragment ion element
  • y' 1 , y' 2 , ... y' n are the number of corresponding elements of the preferred fragment ion element composition.
  • a retention index of the pesticide compound is calculated, and a retention time of the pesticide compound is determined by the retention index being close to a standard retention index of the pesticide compound;
  • the calculation method of the retention index R I is:
  • the retention time t R is the correction, and the z-z + 1, respectively pesticide compound (x) of the effluent before and after the n-paraffins of the number of carbon atoms, the t R (z) ⁇ t R (x) ⁇ t R (z+1), the number z of carbon atoms contained in normal paraffins in a general pesticide compound is greater than 4.
  • chromatographic mass spectrometry conditions are:
  • GC column is TG-5SILMS, 30m ⁇ 0.25mm (id) ⁇ 0.25 ⁇ m special column for mass spectrometry; temperature programming process: 40 ° C for 1 min, then programmed to 30 ° C / min to 130 ° C, then 5 ° C /min warmed to 250 ° C, and then heated to 300 ° C at 10 ° C / min, held for 5 min; carrier gas: helium, purity ⁇ 99.999%, flow rate 1.2mL / min; inlet type: PTV; injection volume: 1 ⁇ L ; injection method: temperature programmed injection, no split time 1.5min;
  • Mass spectrometry conditions EI source voltage: 70 eV; ion source temperature: 230 ° C; transmission line temperature: 280 ° C; solvent delay: 4 min.
  • Scanning mode Full MS; mass scanning range 50-600 m/z, resolution 60,000 FHWM (200 m/z); epoxy heptachlor was used to adjust retention time.
  • a method for detecting pesticide compounds in edible agricultural products based on GC-Q-Orbitrap comprising:
  • sample to be tested is extracted by homogenization of acetic acid acetonitrile, dehydrated, centrifuged, concentrated, and then purified by Carbon/NH2 column, and the residual pesticide is eluted by acetonitrile + toluene, and concentrated and filtered to prepare a sample solution to be tested;
  • ⁇ T is the difference between the retention time of the unknown and the retention time of any pesticide compound in the database
  • P c is the intelligent matching value of the unknown, and the intelligent matching value of any pesticide compound in the P i database.
  • step 4 if ⁇ T ⁇ 0.15 and 10% ⁇ ⁇ P ⁇ 30%, it is judged whether or not the pesticide compound is included by the height of the mass spectrum peak and the degree of coincidence degree in the mass spectrum.
  • step 1) pretreatment of the sample
  • the invention establishes an electronic ID card under the corresponding GC-Q-Orbitrap detection condition according to each pesticide compound, and innovatively utilizes the unique retention index information of each pesticide to establish an electronic identification card to assist the pesticide compound. Confirmation has greatly increased the accuracy and reliability of electronic ID cards.
  • the invention establishes an electronic identification card information unique to each pesticide, and the electronic identification card includes pesticide compound information, retention time, mass spectrum, and fragment ion information, and is optimized for improving the accuracy and operability of the alignment.
  • the typical fragment ions are used as a basis for comparison, and the fragment ion information of the core alignment is determined by setting the base peak ions.
  • the invention's solution makes it unnecessary to prepare pesticide standard products in food pesticide detection, and replaces the pesticide physical standard with the electronic standard screening method as a reference traditional identification method to realize high-precision, high-efficiency and resource-saving non-target pesticide residue detection. A leap in the development of pesticide residue detection technology has been realized.
  • the invention has completed the extraction of electronic ID card information of more than 600 pesticide compounds, and established a corresponding electronic identity database, which uses the theoretical accurate mass to achieve an accuracy of 5 ppm, and more importantly, through a pair of edible agricultural products.
  • the GC-Q-Orbitrap test can simultaneously detect the residual information of multiple pesticides. After the comparison of the database, the pesticide can be quickly screened and confirmed. About 80% of the pesticide screening sensitivity is lower than the standard 10 micrograms/kg, greatly The false positive detection results are reduced, and the requirements for screening MRL levels of pesticide residues in various countries are better met.
  • the theoretical accurate mass as the accurate mass of the fragment ion detection, it can effectively avoid the problem of inaccurate and isotopic peaks of pesticide compounds, improve the accuracy of the whole detection, and reduce the inaccurate detection results caused by the interference of the detection equipment.
  • the theoretical estimation method adopted by the theoretical precision quality comprehensively utilizes the cracking mechanism of the molecular structure of the pesticide compound, and further improves the establishment accuracy of the electronic ID card and the database, and improves the accuracy of the detection.
  • This patent introduces the selection model of fragment ions, which can realize the automatic and rapid selection of fragment ions.
  • the intelligent matching value model by introducing the intelligent matching value model, the intelligent matching value of fast and automatic comparison is calculated for each compound, and the intelligent matching value takes into account the accurate quality.
  • the information on the abundance ratio of the number and the ion, and the influence of the ion abundance of the difference between the base peak ion and the different convincing ions, which highlights the difference, reveals the original human judgment based on the introduction of the intelligent matching value. Insufficient, able to achieve accurate brake matching, truly automated detection.
  • Figure 1 shows a GC-Q-Orbitrap pesticide compound electronic identity database model including an electronic identification card comprising a plurality of pesticide compounds including pesticide compound information, retention time, mass spectrum, fragment ion information, and smart match values.
  • the gas chromatographic column was TG-5SILMS, 30 m ⁇ 0.25 mm (i.d.) ⁇ 0.25 ⁇ m mass spectrometer dedicated column. Temperature programmed process: 40 ° C for 1 min, then programmed to 30 ° C / min to 130 ° C, then 5 ° C / min to 250 ° C, and then 10 ° C / min to 300 ° C, for 5 min; carrier gas: ⁇ Gas, purity ⁇ 99.999%, flow rate 1.2mL/min; inlet type: PTV; injection volume: 1 ⁇ L; injection mode: temperature-programmed injection, no split time 1.5min.
  • Mass spectrometry conditions EI source voltage: 70 eV; ion source temperature: 230 ° C; transmission line temperature: 280 ° C; solvent delay: 4 min.
  • Scanning method Full MS; mass scanning range 50-600 m/z, resolution 60,000 FHWM (200 m/z); epoxy heptachlor used to adjust retention time; data acquisition by TraceFinder (Version. 4.0).
  • the PTV mode was used to test the solvent standard in Full MS mode.
  • the molecular formula was C 14 H 9 Cl 5 O.
  • the total ion chromatogram of the Dicofol solvent standard is shown in Figure 2 at 19.19 min and 27.40 min. Two peaks appeared at the same time.
  • the mass spectrum at 19.19min (Fig. 3) and the mass spectrum at 27.40min (Fig. 4) showed that although the retention times of the two peaks were inconsistent, the ion species and ion abundance were very close and could not be inferred.
  • the ion composition and the exact mass are distinguished and identified, and for this purpose, the retention index is added to aid the judgment.
  • the retention index of the peak at 19.19min was calculated as 1995, and the retention index of the peak at 27.40min was 2476.
  • the retention index of Dicofol in the existing data was 2467.
  • the retention index was found to be closer to the original retention index at 27.40min.
  • the peak is regular, so the peak time of Dicofol is determined to be 27.40 min. It is inferred at 27.40 that the five actual measured primary fragments are 138.99464, 140.99152, 215.02583, 251.00265 and 249.99475, respectively, so that the theoretical values of the five primary fragments can be determined by combining structural information and molecular formula, respectively.
  • Dicofol's ion-accurate mass and its fragment mass are imported into the software to build an accurate mass database, and the confirmed first-order mass spectrum is also imported into the spectral library.
  • the above retention time information and primary mass spectrometry information constitute Dicofol's electronic identity card.
  • the invention creates a large number of experimental verification work, and completes the establishment of more than 600 kinds of commonly used pesticide electronic identity databases in the world, and realizes the replacement of pesticide physical standards by electronic standards.
  • the method optimizes and determines the GC-Q-Orbitrap screening parameters and conditions of pesticide residues, and achieves automatic comparison of test results with the pesticide electronic identity database. This process achieves high speed (40 minutes), high throughput (more than 600 types), high precision (0.00001m/z), high reliability (above 6 confirmation points), high information and automation. At the same time, a sample preparation was realized.
  • the GC-Q-Orbitrap detection technology was used to simultaneously screen more than 600 kinds of pesticides, and the multi-indicators, non-targets and rapid screening of pesticide residues in edible agricultural products were realized; the discovery ability and method efficiency of the technology were significantly improved.
  • Table 1 gives an example of five representative pesticide electronic IDs in the GC-Q-Orbitrap Accurate Mass Database and five representative pesticide mass spectra in the GC-Q-Orbitrap High Resolution Library.
  • Table 2 gives a list of more than 600 pesticides in the GC-Q-Orbitrap electronic identity database.
  • Figure 6 shows the method for electronic detection of pesticides according to the present invention.
  • the sample is prepared once, and the GC-Q-Orbitrap technique can screen more than 600 kinds of pesticides; the standard product is eliminated for reference, and the electronic standard is used for qualitative identification.
  • the replacement of physical standards with electronic ID cards has also led to a leap-forward development from targeted detection to non-targeted screening. It saves resources, reduces pollution, improves analysis speed, and fully meets the requirements of green development, environmental friendliness, and clean and efficient.
  • a 50 mL reservoir was attached to the column, and the pesticide and related chemicals were eluted with 25 mL of acetonitrile + toluene (3+1, v/v), combined in a chicken heart bottle, and concentrated in a 40 ° C water bath to about 0.5 mL.
  • the gas chromatographic column was TG-5SILMS, 30 m ⁇ 0.25 mm (i.d.) ⁇ 0.25 ⁇ m mass spectrometer dedicated column. Temperature programmed process: 40 ° C for 1 min, then programmed to 30 ° C / min to 130 ° C, then 5 ° C / min to 250 ° C, and then 10 ° C / min to 300 ° C, for 5 min; carrier gas: ⁇ Gas, purity ⁇ 99.999%, flow rate 1.2mL/min; inlet type: PTV; injection volume: 1 ⁇ L; injection mode: temperature-programmed injection, no split time 1.5min.
  • Mass spectrometry conditions EI source voltage: 70 eV; ion source temperature: 230 ° C; transmission line temperature: 280 ° C; solvent delay: 4 min.
  • Scanning method Full MS; mass scanning range 50-600 m/z, resolution 60,000 FHWM (200 m/z); epoxy heptachlor used to adjust retention time; mass spectrometry detection results collection and processing by TraceFinder (Version. 4.0); Obtain the chromatogram and mass spectrum of the cabbage under the specified chromatographic mass spectrometry, extract all the retention time in the chromatogram and its corresponding accurate mass, and establish the electronic ID of the pesticide in the cabbage corresponding to all retention time.
  • the sample solution was measured in the full scan mode, and the screening results were compared with the GC-Q-Orbitrap electronic identity database to obtain the pesticide detection.
  • the electronic ID card of the pesticide in the cabbage is sequentially compared with the electronic ID of each pesticide compound in the electronic identity database. If ( ⁇ T ⁇ 0.15 and ⁇ P ⁇ 10%), the pesticide compound is recorded if ( ⁇ T ⁇ 0.15 and 10% ⁇ ⁇ P ⁇ 30%), determine whether the pesticide compound is included by the height and coincidence degree of the mass spectrum peak in the mass spectrum, otherwise the electronic ID of the pesticide entering the next cabbage is compared; the detection is completed, and the display is completed. Information on pesticide compounds contained in the cabbage sample solution.
  • Example 1 The sample pretreatment step, the GC-Q-Orbitrap operating conditions, and the pesticide residue screening process in the sample are all referred to in Example 1.
  • GC-Q-Orbitrap screening results in tomato samples from a provincial capital 16 samples of commercially available tomato samples from a provincial capital were collected, and more than 600 pesticide residues were screened using GC-Q-Orbitrap technology. GC-Q-Orbitrap technique was detected. There are 16 kinds of pesticide residues, totaling 45 frequency, involving 15 samples. The specific results are shown in Table 4.
  • Example 1 The sample pretreatment step, the GC-Q-Orbitrap operating conditions, and the pesticide residue screening process in the sample are all referred to in Example 1.
  • GC-Q-Orbitrap screening results in grape samples from a provincial capital 16 samples of grape samples from a provincial capital were collected, and more than 600 pesticide residues were screened using GC-Q-Orbitrap technology. GC-Q-Orbitrap technique was detected. There were 21 pesticide residues, totaling 73 frequency, involving 16 samples. The specific results are shown in Table 5.

Abstract

A GC-Q-Orbitrap-based electronic identification database of pesticide compounds in edible agricultural products and a detection method; the electronic identification database comprises the assembling of electronic identity card information of a plurality of pesticide compounds, and sorting according to the retention times in the electronic identity card, wherein the electronic identity card comprises pesticide compound information, retention time, a mass spectrograph, fragment ion information and a smart matching value; the detection method comprises a sample pretreatment step, the setting of GC-Q-Orbitrap operation conditions, and a pesticide residue screening process in the sample, wherein the setting of GC-Q-Orbitrap operation conditions comprises setting a suitable chromatographic condition and mass spectrometry condition and, in a pesticide screening process, first utilizing the retention time to search for a pesticide compound in the electronic identification database, and extracting corresponding electronic identity card information if matching is successful, then comparing a smart matching value, and recording and displaying a result if the smart matching value is less than a threshold, and screening is thus finished.

Description

基于GC-Q-Orbitrap的食用农产品中农药化合物电子身份数据库及检测方法Electronic identity database and detection method of pesticide compounds in edible agricultural products based on GC-Q-Orbitrap 技术领域Technical field
本发明设计基于GC-Q-Orbitrap的食用农产品中农药化合物电子身份数据库及检测方法,该发明能实现针对多种食用农产品中600多种农药残留的非靶标、多指标、快速筛查。The invention designs an electronic identity database and a detection method for pesticide compounds in edible agricultural products based on GC-Q-Orbitrap, and the invention can realize non-target, multi-index and rapid screening for more than 600 pesticide residues in various edible agricultural products.
背景技术Background technique
早在1976年世界卫生组织(WHO)、粮农组织(FAO)和联合国环境规划署(UNEP)共同建立了全球环境检测系统/食品项目(GlobalEnvironmentMonitoringSystem,GEMS/Food),旨在掌握会员国食品污染状况,了解食品污染物摄入量,保护人体健康,促进贸易发展。现在,世界各国都把食品安全提升到国家安全的战略地位。农药残留限量是食品安全标准之一,也是国际贸易准入门槛。同时,对农药残留的要求呈现出品种越来越多,限量越来越严格的发展趋势,也就是国际贸易设立的农药残留限量门槛越来越高。例如,欧盟、日本和美国分别制定了169068项(481种农药),44340项(765种农药),13055项(395种农药)农药残留限量标准,我国2016年发布了433种农药的4140项MRL标准。目前,国际上普遍采用的一律标准限量为10μg/kg。因此,食品安全和国际贸易都呼唤高通量快速农药残留检测技术,这无疑也给广大农药残留分析工作者提供了机遇和挑战。在目前的众多农药残留分析技术中,色谱质谱联用技术是实现高通量多残留快速检测的最佳分析手段。As early as 1976, the World Health Organization (WHO), FAO (FAO) and the United Nations Environment Programme (UNEP) jointly established the Global Environment Monitoring System/Food Project (GEMS/Food) to grasp the food contamination situation of member countries. To understand the intake of food contaminants, protect human health and promote trade development. Now, all countries in the world have promoted food safety to a strategic position in national security. Pesticide residue limits are one of the food safety standards and an entry barrier to international trade. At the same time, the requirements for pesticide residues show more and more varieties, and the development trend of more and more strict limits, that is, the threshold for pesticide residue set by international trade is getting higher and higher. For example, the European Union, Japan, and the United States have formulated 169,068 (481 pesticides), 44,340 (765 pesticides), and 1,305 (395 pesticides) pesticide residue limits. In 2016, China released 4,140 MRLs for 433 pesticides. standard. At present, the standard limit commonly used in the world is 10μg/kg. Therefore, both food safety and international trade call for high-throughput rapid pesticide residue detection technology, which undoubtedly provides opportunities and challenges for pesticide residue analysis workers. Among the many pesticide residue analysis technologies available today, chromatographic mass spectrometry is the best analytical tool for high-throughput multi-residue rapid detection.
目前农药残留分析多以气相色谱、液相色谱、气相色谱-质谱和液相色谱-质谱联用技术为主。这些检测技术都首先需要农药标准品对照进行定性。例如,对100种农药的检测就需要准备相应的100种农药标准品对照,而这100种之外的农药都会被漏检。在农药残留实验室的实际工作中,绝大多数实验室都不会储备数百种农药标准品,其原因是农药标准品不仅价格昂贵,而且有效期只有2、3年,需要重复投资。一般实验室常备农药标准品只有几十种,其日常监测的农药品种也就只限于这几十种,由此造成食品安全监测漏洞。At present, the analysis of pesticide residues is mainly based on gas chromatography, liquid chromatography, gas chromatography-mass spectrometry and liquid chromatography-mass spectrometry. These detection techniques first need to be qualitatively compared to pesticide standards. For example, the detection of 100 pesticides requires the preparation of the corresponding 100 pesticide standard controls, and these 100 pesticides will be missed. In the actual work of pesticide residue laboratories, most laboratories do not stock hundreds of pesticide standards. The reason is that pesticide standards are not only expensive, but also valid for only 2 or 3 years, requiring repeated investment. There are only a few dozen standard pesticide standards in the laboratory, and the number of pesticides that are routinely monitored is limited to these dozens, which leads to food safety monitoring loopholes.
发明内容Summary of the invention
本发明针对目前农药残留筛查技术方法中无法实现对多种农药同时快速检测的问题,开发了一种基于GC-Q-Orbitrap的食用农产品的农药化合物电子身份数据库及检测方法,实现了不需标准品对照、即可同时对农产品中600多种农药残留快速筛查检测,满足了当前农产品中农药残留高通量快速检测的急需。The invention solves the problem that the rapid detection of multiple pesticides at the same time can not be realized in the current pesticide residue screening technology method, and develops an electronic identity database and detection method of pesticide compounds based on GC-Q-Orbitrap for edible agricultural products, which realizes that no need Standard product control can quickly screen and detect more than 600 pesticide residues in agricultural products, which meets the urgent need for rapid detection of high-throughput pesticide residues in agricultural products.
本发明采取如下技术方案:The invention adopts the following technical solutions:
一种基于GC-Q-Orbitrap的食用农产品中农药化合物电子身份数据库,包括多种农药化合物电子身份证,所述电子身份证包括农药化合物信息、保留时间、质谱图、以及碎片离子信息,其特征在于:An electronic identity database of pesticide compounds in edible agricultural products based on GC-Q-Orbitrap, comprising a plurality of pesticide compound electronic identification cards, including pesticide compound information, retention time, mass spectrum, and fragment ion information, characteristics thereof Lie in:
所述农药化合物信息包括化合物名称、化合物分子式;The pesticide compound information includes a compound name, a compound molecular formula;
制备农药化合物样品,通过GC-Q-Orbitrap仪器在Full MS模式下获得所述农药化合物指定色谱质谱条件下的色谱图,所述色谱图中的色谱峰处时间即为所述保留时间;Preparing a sample of the pesticide compound, and obtaining a chromatogram of the pesticide compound under specified chromatographic mass spectrometry conditions in a Full MS mode by a GC-Q-Orbitrap apparatus, wherein the time of the peak in the chromatogram is the retention time;
所述质谱图是所述保留时间下通过GC-Q-Orbitrap仪器获得的一级全扫描图;The mass spectrum is a first-level full scan obtained by the GC-Q-Orbitrap instrument at the retention time;
所述碎片离子由所述质谱图中选择确定,所述碎片离子包括1个基峰离子和多个确证离子,所述基峰离子为信号强度高、质量数大的碎片离子,所述基峰离子不选同位素峰的离子;The fragment ions are determined by selection in the mass spectrum, and the fragment ions include one base peak ion and a plurality of confirming ions, and the base peak ions are fragment ions having high signal intensity and large mass, the base peak The ion does not select the ion of the isotope peak;
所述碎片离子信息包括离子丰度比和理论精确质量数;The fragment ion information includes an ion abundance ratio and a theoretical accurate mass number;
所述离子丰度比是碎片离子与基峰离子的信号强度比;The ion abundance ratio is a signal intensity ratio of the fragment ion to the base peak ion;
所述数据库按照电子身份证中的按保留时间进行排序。The database is sorted by retention time in the electronic ID card.
进一步,所述电子身份数据库还包括智能匹配模型,匹配模型在所述电子身份证中增加智能匹配值P m,其计算模型为: Further, the electronic identity database further includes an intelligent matching model, and the matching model adds an intelligent matching value P m to the electronic identity card, and the computing model is:
Figure PCTCN2018120999-appb-000001
Figure PCTCN2018120999-appb-000001
Figure PCTCN2018120999-appb-000002
Figure PCTCN2018120999-appb-000002
W b+W q=1; W b + W q =1;
其中M b为基峰离子的理论精确质量数,M i为第i个确证离子的精确质量数,W i为权重,I i为第i个确证离子的离子丰度比,确证离子的排列顺序为离子丰度比的从大到小;W b为基峰离子的权重,W q为确证离子的综合权重,n为碎片离子的个数。 Where M b is the theoretical exact mass of the base peak ion, M i is the exact mass of the ith confirmed ion, W i is the weight, and I i is the ion abundance ratio of the ith confirmed ion, confirming the order of the ions The ion abundance ratio is from large to small; W b is the weight of the base peak ion, W q is the comprehensive weight of the confirmed ion, and n is the number of fragment ions.
进一步,所述W b,W q可根据智能匹配模型的变化进行调整,一般取值为W b=W q=0.5。 Further, the W b , W q can be adjusted according to the change of the smart matching model, and generally takes the value W b = W q = 0.5.
进一步,所述碎片离子的选择依据离子丰度和离子质量数,所述离子丰度为所述质谱图中离子的信号强度,所述碎片离子数为5个,所述碎片离子选择的原则为:Further, the selection of the fragment ions depends on the ion abundance and the ion mass number, wherein the ion abundance is the signal intensity of the ions in the mass spectrum, and the number of the fragment ions is five, and the principle of the fragment ion selection is :
如果ΔI>10%,则选取I i,I j中的最大值,否则选取M i,M j中的最大值; If ΔI>10%, the maximum value in I i , I j is selected, otherwise the maximum value in M i , M j is selected;
其中:I i,I j为最相近的两个碎片离子的离子丰度比,ΔI=|I i-I j|,M i,M j为上述最相近的两个碎片离子的精确质量数,所述离子碎片的排列顺序为按照离子丰度比从大到小。 Where: I i , I j are the ion abundance ratios of the two closest fragment ions, ΔI=|I i -I j |, M i , M j are the exact masses of the two closest fragment ions, The arrangement of the ion fragments is in accordance with the ion abundance ratio from large to small.
进一步,所述碎片离子的理论精确质量数的确定方法为:Further, the method for determining the theoretical accurate mass of the fragment ions is:
1)根据化合物分子式,明确碎片离子元素组成;1) clarify the composition of the fragment ion element according to the molecular formula of the compound;
2)根据质谱图中碎片离子的质量数M,通过计算获得可能的碎片离子元素组成列表;2) According to the mass number M of the fragment ions in the mass spectrum, a list of possible fragment ion element compositions is obtained by calculation;
Figure PCTCN2018120999-appb-000003
Figure PCTCN2018120999-appb-000003
其中:M i为第i个碎片离子元素精确质量数,n为碎片离子的元素数,y i为第i个碎片离子对应元素的个数。 Where: M i is the exact mass of the i-th fragment ion element, n is the number of elements of the fragment ion, and y i is the number of elements corresponding to the i-th fragment ion.
3)通过分子结构的裂解机理从碎片离子元素组成列表中选择合理的碎片离子元素组成,并计算其理论精确质量M′。3) Select a reasonable fragment ion element composition from the list of fragment ion element composition by the molecular structure cracking mechanism, and calculate its theoretical exact mass M'.
M′=M 1y′ 1+M 2y′ 2+…+M ny′ n M'=M 1 y' 1 +M 2 y' 2 +...+M n y' n
其中:M 1、M 2……M n为所述碎片离子元素精确质量数,y′ 1、y′ 2、……y′ n为优选碎片离子元素组成的对应元素的个数。 Wherein: M 1 , M 2 , ..., M n is the exact mass of the fragment ion element, and y' 1 , y' 2 , ... y' n are the number of corresponding elements of the preferred fragment ion element composition.
进一步,所述色谱图中出现两个及以上色谱峰时,计算所述农药化合物的保留指数,通过所述保留指数与所述农药化合物的标准保留指数相近程度确定所述农药化合物的保留时间;Further, when two or more chromatographic peaks appear in the chromatogram, a retention index of the pesticide compound is calculated, and a retention time of the pesticide compound is determined by the retention index being close to a standard retention index of the pesticide compound;
所述保留指数R I的计算方法为: The calculation method of the retention index R I is:
Figure PCTCN2018120999-appb-000004
Figure PCTCN2018120999-appb-000004
所述t R为校正保留时间,所述z和z+1分别为农药化合物(x)流出前后的正构烷烃所含碳原子的数目,所述t R(z)<t R(x)<t R(z+1),一般农药化合物中正构烷烃所含碳原子的数目z大于4。 The retention time t R is the correction, and the z-z + 1, respectively pesticide compound (x) of the effluent before and after the n-paraffins of the number of carbon atoms, the t R (z) <t R (x) < t R (z+1), the number z of carbon atoms contained in normal paraffins in a general pesticide compound is greater than 4.
进一步,所述色谱质谱条件为:Further, the chromatographic mass spectrometry conditions are:
色谱条件:气相色谱柱为TG-5SILMS,30m×0.25mm(i.d.)×0.25μm质谱专用柱;程序升温过程:40℃保持1min,然后以30℃/min程序升温至130℃,再以5℃/min升温至250℃,再以10℃/min升温至300℃,保持5min;载气:氦气,纯度≥99.999%,流速1.2mL/min;进样口类型:PTV;进样量:1μL;进样方式:程序升温进样,不分流时间1.5min;Chromatographic conditions: GC column is TG-5SILMS, 30m × 0.25mm (id) × 0.25μm special column for mass spectrometry; temperature programming process: 40 ° C for 1 min, then programmed to 30 ° C / min to 130 ° C, then 5 ° C /min warmed to 250 ° C, and then heated to 300 ° C at 10 ° C / min, held for 5 min; carrier gas: helium, purity ≥ 99.999%, flow rate 1.2mL / min; inlet type: PTV; injection volume: 1μL ; injection method: temperature programmed injection, no split time 1.5min;
质谱条件:EI源电压:70eV;离子源温度:230℃;传输线温度:280℃;溶剂延迟:4min。扫描方式:Full MS;质量扫描范围50-600m/z,分辨率60,000FHWM(200m/z);环氧七氯用于调整保留时间。Mass spectrometry conditions: EI source voltage: 70 eV; ion source temperature: 230 ° C; transmission line temperature: 280 ° C; solvent delay: 4 min. Scanning mode: Full MS; mass scanning range 50-600 m/z, resolution 60,000 FHWM (200 m/z); epoxy heptachlor was used to adjust retention time.
一种基于GC-Q-Orbitrap的食用农产品中农药化合物检测方法,包括:A method for detecting pesticide compounds in edible agricultural products based on GC-Q-Orbitrap, comprising:
1)将待检测样品经醋酸乙腈匀浆提取,经脱水和离心、浓缩后,再经Carbon/NH2柱净化,乙腈+甲苯洗脱残留农药,经浓缩、过滤后制成待测样品溶液;1) The sample to be tested is extracted by homogenization of acetic acid acetonitrile, dehydrated, centrifuged, concentrated, and then purified by Carbon/NH2 column, and the residual pesticide is eluted by acetonitrile + toluene, and concentrated and filtered to prepare a sample solution to be tested;
2)通过GC-Q-Orbitrap仪器在Full MS模式下获得样品溶液指定色谱质谱条件下的色谱图和质谱图;2) Obtain a chromatogram and a mass spectrum of the sample solution under the specified chromatographic mass spectrometry in the Full MS mode by the GC-Q-Orbitrap instrument;
3)提取色谱图中的所有保留时间及其对应的精确质量数,建立所有保留时间对应的未知物的电子身份证;3) Extract all the retention times in the chromatogram and their corresponding accurate masses, and establish an electronic ID card of all unknowns corresponding to the retention time;
4)依次将未知物电子身份证与电子身份数据库中每个农药化合物的电子身份证比较,如果ΔT≤0.15并且ΔP≤10%,则记录该农药化合物,否则进入下一个未知物电子身份证的比较;4) sequentially compare the unknown electronic ID card with the electronic ID card of each pesticide compound in the electronic identity database. If ΔT ≤ 0.15 and ΔP ≤ 10%, record the pesticide compound, otherwise enter the next unknown electronic ID card. Comparison
5)检测完成,显示样品溶液中所含农药化合物的信息;5) The test is completed, and the information of the pesticide compound contained in the sample solution is displayed;
其中ΔT为未知物保留时间与数据库中任一农药化合物保留时间的差值,
Figure PCTCN2018120999-appb-000005
其中P c为未知物智能匹配值,P i数据库中任一农药化合物智能匹配值。
Where ΔT is the difference between the retention time of the unknown and the retention time of any pesticide compound in the database,
Figure PCTCN2018120999-appb-000005
Where P c is the intelligent matching value of the unknown, and the intelligent matching value of any pesticide compound in the P i database.
进一步,步骤4)中如果ΔT≤0.15并且10%<ΔP≤30%,则通过质谱图中质谱峰的高度和重合度确定度判断是否包括该农药化合物。Further, in the step 4), if ΔT ≤ 0.15 and 10% < ΔP ≤ 30%, it is judged whether or not the pesticide compound is included by the height of the mass spectrum peak and the degree of coincidence degree in the mass spectrum.
进一步,步骤1)所述样品的前处理:Further, step 1) pretreatment of the sample:
称取10.0g样品(精确到0.01g)于100mL离心管中,加入30~40mL酸化乙腈提取液,10000~11000rpm均质1~2min;加入无水硫酸镁和氯化钠(质量 比,4:1),振荡8~10min;4200rpm离心5~7min后,取15~20mL上清液于150mL鸡心瓶中,40℃水浴加热旋转蒸发至1~2mL,待净化;Weigh 10.0g sample (accurate to 0.01g) in a 100mL centrifuge tube, add 30 ~ 40mL acidified acetonitrile extract, 10000 ~ 11000rpm homogenization for 1 ~ 2min; add anhydrous magnesium sulfate and sodium chloride (mass ratio, 4: 1), shaking for 8 ~ 10min; centrifugation at 4200rpm for 5 ~ 7min, taking 15 ~ 20mL supernatant in 150mL chicken heart bottle, heated in a 40 ° C water bath rotary evaporation to 1 ~ 2mL, to be purified;
使用CarbonNH2柱,在CarbonNH2柱内加入约1~2cm高的无水硫酸钠,用5~6mL乙腈-甲苯溶液预洗SPE净化柱,同时轻敲净化柱排出柱内气泡,净化柱下方流出液弃;待液面略高于硫酸钠顶部时,将浓缩液转移入净化柱,下接50mL鸡心瓶;用2~3mL乙腈-甲苯溶液冲洗沾有样品的鸡心瓶,将洗涤液转移至净化柱内,重复2~3次;柱上接25mL储液器,以25~30mL乙腈-甲苯溶液洗脱;收集完毕后旋转蒸发至约0.5mL,氮吹至近干,加入1mL乙酸乙酯溶液,超声溶解后经0.22μm尼龙膜过滤。Using a CarbonNH2 column, add about 1 to 2 cm of anhydrous sodium sulfate to the CarbonNH2 column, pre-wash the SPE purification column with 5 to 6 mL of acetonitrile-toluene solution, and tap the purification column to discharge the bubbles in the column. When the liquid level is slightly higher than the top of the sodium sulfate, transfer the concentrated liquid to the purification column, and then connect the 50mL chicken heart bottle; rinse the chicken heart bottle with the sample with 2~3mL acetonitrile-toluene solution, and transfer the washing liquid to the purification column. Repeat 2~3 times; connect 25mL reservoir on the column, elute with 25~30mL acetonitrile-toluene solution; after the collection is completed, spin to evaporate to about 0.5mL, nitrogen to near dry, add 1mL ethyl acetate solution, ultrasonically dissolve It was then filtered through a 0.22 μm nylon membrane.
本发明的有益效果:The beneficial effects of the invention:
1.本发明根据每种农药化合物建立了对应的GC-Q-Orbitrap检测条件下的电子身份证,建立电子身份证时创新性的利用每种农药自身独有的保留指数信息,辅助农药化合物的确认,极大地增加了电子身份证的准确信和可靠性。1. The invention establishes an electronic ID card under the corresponding GC-Q-Orbitrap detection condition according to each pesticide compound, and innovatively utilizes the unique retention index information of each pesticide to establish an electronic identification card to assist the pesticide compound. Confirmation has greatly increased the accuracy and reliability of electronic ID cards.
2.本发明建立每种农药自身独有的电子身份证信息,电子身份证包括农药化合物信息、保留时间、质谱图、以及碎片离子信息,为提高比对的精度和可操作性,优化的选取了典型性的碎片离子作为比较依据,并通过设定基峰离子确定了核心比对的碎片离子信息。该发明的方案使得在食品农药检测中无需准备农药标准品,以电子标准筛查方法取代农药实物标准作参比的传统鉴定方法,实现高精度、高效率、节约资源的非靶标农药残留检测。实现了农药残留检测技术的跨跃发展。2. The invention establishes an electronic identification card information unique to each pesticide, and the electronic identification card includes pesticide compound information, retention time, mass spectrum, and fragment ion information, and is optimized for improving the accuracy and operability of the alignment. The typical fragment ions are used as a basis for comparison, and the fragment ion information of the core alignment is determined by setting the base peak ions. The invention's solution makes it unnecessary to prepare pesticide standard products in food pesticide detection, and replaces the pesticide physical standard with the electronic standard screening method as a reference traditional identification method to realize high-precision, high-efficiency and resource-saving non-target pesticide residue detection. A leap in the development of pesticide residue detection technology has been realized.
3.本发明已经完成了600多种农药化合物的电子身份证信息的提取,建立了相应的电子身份数据库,该数据库利用理论精确质量数实现了5ppm的精度,更重要的是通过一次对食用农产品的GC-Q-Orbitrap检测能同时检测中多种农药残存信息,经过数据库的比对能实现农药的快速筛查和确证,80%左右农药筛查灵敏度低于一律标准10微克/千克,极大地降低了假阳性检出结果,较好地满足各国农药残留MRL水平筛查的要求。3. The invention has completed the extraction of electronic ID card information of more than 600 pesticide compounds, and established a corresponding electronic identity database, which uses the theoretical accurate mass to achieve an accuracy of 5 ppm, and more importantly, through a pair of edible agricultural products. The GC-Q-Orbitrap test can simultaneously detect the residual information of multiple pesticides. After the comparison of the database, the pesticide can be quickly screened and confirmed. About 80% of the pesticide screening sensitivity is lower than the standard 10 micrograms/kg, greatly The false positive detection results are reduced, and the requirements for screening MRL levels of pesticide residues in various countries are better met.
4.采用理论精确质量数作为碎片离子的检测精确质量数,能有效规避农药化合物确定不准确和同位素峰的问题,提高整个检测的准确性,减少因检测设备的干扰导致的检测结果不准确等情况。理论精确质量采用的理论推算方式综合利 用了农药化合物分子结构的裂解机理,更加提高了电子身份证和数据库的建立准确性,提高检测的精确性。4. Using the theoretical accurate mass as the accurate mass of the fragment ion detection, it can effectively avoid the problem of inaccurate and isotopic peaks of pesticide compounds, improve the accuracy of the whole detection, and reduce the inaccurate detection results caused by the interference of the detection equipment. Happening. The theoretical estimation method adopted by the theoretical precision quality comprehensively utilizes the cracking mechanism of the molecular structure of the pesticide compound, and further improves the establishment accuracy of the electronic ID card and the database, and improves the accuracy of the detection.
5.本专利引入了碎片离子的选择模型,能够实现碎片离子的自动快速选择,同时通过引入智能匹配值模型,为每种化合物计算出快速自动比较的智能匹配值,智能匹配值兼顾了精确质量数和离子丰度比的信息,并根据基峰离子和不同确信离子间差异化的离子丰度比突出差距较大的离子碎片的影响,通过智能匹配值的引入改变了原有的根据人为判断的不足,能够实现精确的制动匹配,真正实现检测的自动化。5. This patent introduces the selection model of fragment ions, which can realize the automatic and rapid selection of fragment ions. At the same time, by introducing the intelligent matching value model, the intelligent matching value of fast and automatic comparison is calculated for each compound, and the intelligent matching value takes into account the accurate quality. The information on the abundance ratio of the number and the ion, and the influence of the ion abundance of the difference between the base peak ion and the different convincing ions, which highlights the difference, reveals the original human judgment based on the introduction of the intelligent matching value. Insufficient, able to achieve accurate brake matching, truly automated detection.
附图说明DRAWINGS
图1 GC-Q-Orbitrap农药化合物电子身份数据库模型Figure 1 GC-Q-Orbitrap pesticide compound electronic identity database model
图2 Dicofol溶剂标准的总离子流色谱图Figure 2 Total ion chromatogram of the Dicofol solvent standard
图3 Dicofol溶剂标准19.19min处峰的一级质谱图Figure 3. First-order mass spectrum of the peak at Dicofol solvent standard at 19.19min
图4 Dicofol溶剂标准27.40min处峰的一级质谱图Figure 4 First-order mass spectrum of the peak at Dicofol solvent standard at 27.40min
图5 GC-Q-Orbitrap高分辨质谱谱图库中5种代表农药质谱图示例Figure 5 Example of five representative pesticide mass spectra in the GC-Q-Orbitrap high-resolution mass spectrum library
图6农药残留检测方法流程Figure 6 Pesticide residue detection method flow
具体实施方式detailed description
下面结合附图和具体实施例对本发明作进一步说明。The invention will be further described below in conjunction with the drawings and specific embodiments.
图1表示GC-Q-Orbitrap农药化合物电子身份数据库模型,其中包括包括多种农药化合物电子身份证,所述电子身份证包括农药化合物信息、保留时间、质谱图、碎片离子信息和智能匹配值。Figure 1 shows a GC-Q-Orbitrap pesticide compound electronic identity database model including an electronic identification card comprising a plurality of pesticide compounds including pesticide compound information, retention time, mass spectrum, fragment ion information, and smart match values.
下面以Dicofol为例,对农药化合物电子身份证的建立过程进行详细介绍:Taking Dicofol as an example, the process of establishing the pesticide ID electronic ID card is described in detail:
色谱条件:气相色谱柱为TG-5SILMS,30m×0.25mm(i.d.)×0.25μm质谱专用柱。程序升温过程:40℃保持1min,然后以30℃/min程序升温至130℃,再以5℃/min升温至250℃,再以10℃/min升温至300℃,保持5min;载气:氦气,纯度≥99.999%,流速1.2mL/min;进样口类型:PTV;进样量:1μL;进样方式:程序升温进样,不分流时间1.5min。Chromatographic conditions: The gas chromatographic column was TG-5SILMS, 30 m × 0.25 mm (i.d.) × 0.25 μm mass spectrometer dedicated column. Temperature programmed process: 40 ° C for 1 min, then programmed to 30 ° C / min to 130 ° C, then 5 ° C / min to 250 ° C, and then 10 ° C / min to 300 ° C, for 5 min; carrier gas: 氦Gas, purity ≥99.999%, flow rate 1.2mL/min; inlet type: PTV; injection volume: 1μL; injection mode: temperature-programmed injection, no split time 1.5min.
质谱条件:EI源电压:70eV;离子源温度:230℃;传输线温度:280℃;溶剂延迟:4min。扫描方式:Full MS;质量扫描范围50-600m/z,分辨率60,000FHWM(200m/z);环氧七氯用于调整保留时间;通过TraceFinder(Version.4.0)对数据采集。Mass spectrometry conditions: EI source voltage: 70 eV; ion source temperature: 230 ° C; transmission line temperature: 280 ° C; solvent delay: 4 min. Scanning method: Full MS; mass scanning range 50-600 m/z, resolution 60,000 FHWM (200 m/z); epoxy heptachlor used to adjust retention time; data acquisition by TraceFinder (Version. 4.0).
采用PTV模式进样,在Full MS模式下对其溶剂标准进行测定,其分子式为C 14H 9Cl 5O,Dicofol溶剂标准的总离子流色谱图如图2所示,在19.19min和27.40min处出现两个色谱峰,19.19min处质谱图(图3)和27.40min处质谱图(图4)比较发现,虽然两处峰的保留时间不一致但离子种类和离子丰度非常接近,无法通过推断离子组成和精确质量数进行区分和鉴别,为此增加保留指数辅助判断。计算19.19min处峰的保留指数为1995,27.40min处峰的保留指数为2476,查找现有资料中Dicofol的保留指数为2467,通过保留指数比对发现27.40min处峰保留指数更接近原有出峰规律,所以Dicofol的出峰时间确定为27.40min。在27.40处推断其5个实际测定的一级碎片分别为138.99464,140.99152,215.02583,251.00265和249.99475,从而结合结构式信息和分子式可以对其5个一级碎片的理论值进行确定,分别为基峰离子C 7ClH 4O(138.99452,丰度100.0),确证离子C 7 37ClH 4O(140.99157,丰度33.2),C 13ClH 8O(215.02582,丰度17.9),C 13Cl 2H 9O(251.00250,丰度29.9)和C 13H 8OCl 2(249.99469,丰度19.6),5个离子的质量偏差均小于2ppm,根据上述碎片离子值计算的智能匹配值为:183.07860,计算过程如下: The PTV mode was used to test the solvent standard in Full MS mode. The molecular formula was C 14 H 9 Cl 5 O. The total ion chromatogram of the Dicofol solvent standard is shown in Figure 2 at 19.19 min and 27.40 min. Two peaks appeared at the same time. The mass spectrum at 19.19min (Fig. 3) and the mass spectrum at 27.40min (Fig. 4) showed that although the retention times of the two peaks were inconsistent, the ion species and ion abundance were very close and could not be inferred. The ion composition and the exact mass are distinguished and identified, and for this purpose, the retention index is added to aid the judgment. The retention index of the peak at 19.19min was calculated as 1995, and the retention index of the peak at 27.40min was 2476. The retention index of Dicofol in the existing data was 2467. The retention index was found to be closer to the original retention index at 27.40min. The peak is regular, so the peak time of Dicofol is determined to be 27.40 min. It is inferred at 27.40 that the five actual measured primary fragments are 138.99464, 140.99152, 215.02583, 251.00265 and 249.99475, respectively, so that the theoretical values of the five primary fragments can be determined by combining structural information and molecular formula, respectively. C 7 ClH 4 O (138.99452, abundance 100.0), confirming the ion C 7 37 ClH 4 O (140.99157, abundance 33.2), C 13 ClH 8 O (215.02582, abundance 17.9), C 13 Cl 2 H 9 O ( 251.00250, abundance 29.9) and C 13 H 8 OCl 2 (249.99469, abundance 19.6), the mass deviation of the 5 ions are less than 2ppm, the intelligent matching value calculated according to the above fragment ion value is: 187.078060, the calculation process is as follows:
Figure PCTCN2018120999-appb-000006
Figure PCTCN2018120999-appb-000006
按照图1所示,Dicofol的离子精确质量数及其碎片精确质量数的理论值将会被导入软件,构建精确质量数据库,确证的一级质谱图也会导入谱图库。上述保留时间信息和一级质谱信息便构成了Dicofol的电子身份证。As shown in Figure 1, the theoretical values of Dicofol's ion-accurate mass and its fragment mass are imported into the software to build an accurate mass database, and the confirmed first-order mass spectrum is also imported into the spectral library. The above retention time information and primary mass spectrometry information constitute Dicofol's electronic identity card.
通过上述实施例的方式,本发明创造进行了大量的实验验证工作,并完成了600种以上世界常用农药电子身份数据库的建立,实现了以电子标准取代农药实物标准。该方法优化并确定了农药残留GC-Q-Orbitrap筛查参数和条件,实现测试结果与农药电子身份数据库的自动比对。这一过程实现了高速度(40分钟)、高通量(600种以上)、高精度(0.00001m/z)、高可靠性(6个确证点以上)、高度信息化和自动化。同时实现了一次样本制备,采用GC-Q-Orbitrap检测技术同时快速筛查600多种农药,实现食用农产品农药残留多指标、非靶标、快速筛查;显著提高了技术的发现能力和方法效能。表1给出了GC-Q-Orbitrap精确质量数据库中5种代表农药化合物电子身份证示例和图5GC-Q-Orbitrap高分辨质 谱谱图库中5种代表农药质谱图示例。表2给出来GC-Q-Orbitrap电子身份数据库中600多种农药清单。Through the manner of the above embodiments, the invention creates a large number of experimental verification work, and completes the establishment of more than 600 kinds of commonly used pesticide electronic identity databases in the world, and realizes the replacement of pesticide physical standards by electronic standards. The method optimizes and determines the GC-Q-Orbitrap screening parameters and conditions of pesticide residues, and achieves automatic comparison of test results with the pesticide electronic identity database. This process achieves high speed (40 minutes), high throughput (more than 600 types), high precision (0.00001m/z), high reliability (above 6 confirmation points), high information and automation. At the same time, a sample preparation was realized. The GC-Q-Orbitrap detection technology was used to simultaneously screen more than 600 kinds of pesticides, and the multi-indicators, non-targets and rapid screening of pesticide residues in edible agricultural products were realized; the discovery ability and method efficiency of the technology were significantly improved. Table 1 gives an example of five representative pesticide electronic IDs in the GC-Q-Orbitrap Accurate Mass Database and five representative pesticide mass spectra in the GC-Q-Orbitrap High Resolution Library. Table 2 gives a list of more than 600 pesticides in the GC-Q-Orbitrap electronic identity database.
表1 GC-Q-Orbitrap 5种农药化合物电子身份证示例(不含质谱图、化学式)Table 1 GC-Q-Orbitrap Examples of five pesticide compound electronic ID cards (excluding mass spectrum, chemical formula)
Figure PCTCN2018120999-appb-000007
Figure PCTCN2018120999-appb-000007
表2 GC-Q-Orbitrap检测的600多种农药清单Table 2 List of more than 600 pesticides detected by GC-Q-Orbitrap
Figure PCTCN2018120999-appb-000008
Figure PCTCN2018120999-appb-000008
Figure PCTCN2018120999-appb-000009
Figure PCTCN2018120999-appb-000009
Figure PCTCN2018120999-appb-000010
Figure PCTCN2018120999-appb-000010
Figure PCTCN2018120999-appb-000011
Figure PCTCN2018120999-appb-000011
Figure PCTCN2018120999-appb-000012
Figure PCTCN2018120999-appb-000012
Figure PCTCN2018120999-appb-000013
Figure PCTCN2018120999-appb-000013
Figure PCTCN2018120999-appb-000014
Figure PCTCN2018120999-appb-000014
Figure PCTCN2018120999-appb-000015
Figure PCTCN2018120999-appb-000015
Figure PCTCN2018120999-appb-000016
Figure PCTCN2018120999-appb-000016
Figure PCTCN2018120999-appb-000017
Figure PCTCN2018120999-appb-000017
Figure PCTCN2018120999-appb-000018
Figure PCTCN2018120999-appb-000018
Figure PCTCN2018120999-appb-000019
Figure PCTCN2018120999-appb-000019
Figure PCTCN2018120999-appb-000020
Figure PCTCN2018120999-appb-000020
Figure PCTCN2018120999-appb-000021
Figure PCTCN2018120999-appb-000021
Figure PCTCN2018120999-appb-000022
Figure PCTCN2018120999-appb-000022
Figure PCTCN2018120999-appb-000023
Figure PCTCN2018120999-appb-000023
Figure PCTCN2018120999-appb-000024
Figure PCTCN2018120999-appb-000024
图6表示本发明提出的农药检测电子化方法中,一次制备样品,GC-Q-Orbitrap技术共可筛查600多种农药;取消了标准品做参比,而凭电子标准定性鉴定,实现了以电子身份证代替实物标准,同时也实现了从靶向检测向非靶向筛查的跨跃式发展。节省了资源,减少了污染,提高了分析速度,完全达到了绿色发展、环境友好和清洁高效的要求。Figure 6 shows the method for electronic detection of pesticides according to the present invention. The sample is prepared once, and the GC-Q-Orbitrap technique can screen more than 600 kinds of pesticides; the standard product is eliminated for reference, and the electronic standard is used for qualitative identification. The replacement of physical standards with electronic ID cards has also led to a leap-forward development from targeted detection to non-targeted screening. It saves resources, reduces pollution, improves analysis speed, and fully meets the requirements of green development, environmental friendliness, and clean and efficient.
实施例1Example 1
结球甘蓝中600多种农药GC-Q-Orbitrap筛查和确证技术实施实例,包括如下步骤;Examples of GC-Q-Orbitrap screening and confirmation techniques for more than 600 pesticides in cabbage, including the following steps;
1、样品前处理技术的具体步骤:1. Specific steps of sample pretreatment technology:
1.1结球甘蓝样品取可食部分切碎,混匀,密封,标明标记;1.1 Cabbage samples are chopped, mixed, sealed and marked with edible parts;
1.2称取10g结球甘蓝样品(精确至0.01g),于100mL离心管中,加入40mL1%醋酸乙腈,用高速匀浆机10000r/min,匀浆提取1min,加入1g氯化钠,4g无水硫酸镁,振荡10min,在4200r/min下离心5min,取上清液20mL,在40℃水浴中旋转蒸发浓缩至约1mL,待净化。1.2 Weigh 10g of cabbage sample (accurate to 0.01g), add 40mL of 1% acetic acid acetonitrile in a 100mL centrifuge tube, use high-speed homogenizer 10000r/min, homogenate for 1min, add 1g sodium chloride, 4g anhydrous Magnesium sulfate, shaking for 10 min, centrifuging at 4200 r / min for 5 min, taking 20 mL of the supernatant, and concentrating to about 1 mL by rotary evaporation in a 40 ° C water bath, to be purified.
1.3使用CarbonNH2柱,在Carbon/NH2柱中加入约2cm高无水硫酸钠。先用5mL乙腈+甲苯(3+1,v/v)淋洗SPE柱,并弃去流出液,当液面到达硫酸钠的顶部时,迅速将样品浓缩液转移至SPE柱中,下接新鸡心瓶接收。再每次用2mL乙腈+甲苯(3+1,v/v)洗涤样液瓶三次,并将洗涤液移入SPE柱中。在柱上连接50mL贮液器,用25mL乙腈+甲苯(3+1,v/v)洗脱农药及相关化学品,合并于鸡心瓶中,并在40℃水浴中旋转浓缩至约0.5mL。1.3 Using a Carbon NH2 column, about 2 cm of anhydrous sodium sulfate was added to the Carbon/NH2 column. Rinse the SPE column with 5mL acetonitrile + toluene (3+1, v/v), and discard the effluent. When the liquid level reaches the top of the sodium sulfate, quickly transfer the sample concentrate to the SPE column and connect it to the new one. Chicken heart bottle is received. The sample bottle was washed three times with 2 mL of acetonitrile + toluene (3+1, v/v) each time, and the washing solution was transferred to an SPE column. A 50 mL reservoir was attached to the column, and the pesticide and related chemicals were eluted with 25 mL of acetonitrile + toluene (3+1, v/v), combined in a chicken heart bottle, and concentrated in a 40 ° C water bath to about 0.5 mL.
1.4将浓缩液置于氮气下吹干,用1mL乙酸乙酯定容,经0.22μm滤膜过滤后,供GC-Q-Orbitrap检测。1.4 The concentrate was dried under nitrogen, made up to volume with 1 mL of ethyl acetate, and filtered through a 0.22 μm filter for GC-Q-Orbitrap.
2、GC-Q-Orbitrap操作条件2, GC-Q-Orbitrap operating conditions
色谱条件:气相色谱柱为TG-5SILMS,30m×0.25mm(i.d.)×0.25μm质谱专用柱。程序升温过程:40℃保持1min,然后以30℃/min程序升温至130℃,再以5℃/min升温至250℃,再以10℃/min升温至300℃,保持5min;载气:氦气,纯度≥99.999%,流速1.2mL/min;进样口类型:PTV;进样量:1μL;进样方式:程序升温进样,不分流时间1.5min。Chromatographic conditions: The gas chromatographic column was TG-5SILMS, 30 m × 0.25 mm (i.d.) × 0.25 μm mass spectrometer dedicated column. Temperature programmed process: 40 ° C for 1 min, then programmed to 30 ° C / min to 130 ° C, then 5 ° C / min to 250 ° C, and then 10 ° C / min to 300 ° C, for 5 min; carrier gas: 氦Gas, purity ≥99.999%, flow rate 1.2mL/min; inlet type: PTV; injection volume: 1μL; injection mode: temperature-programmed injection, no split time 1.5min.
质谱条件:EI源电压:70eV;离子源温度:230℃;传输线温度:280℃;溶剂延迟:4min。扫描方式:Full MS;质量扫描范围50-600m/z,分辨率60,000FHWM(200m/z);环氧七氯用于调整保留时间;通过TraceFinder(Version.4.0)对质谱检测结果采集与处理;获得结球甘蓝的在指定色谱质谱条件下的色谱图和质谱图,提取色谱图中的所有保留时间及其对应的精确质量数,建立所有保留时间对应的结球甘蓝中农药的电子身份证。Mass spectrometry conditions: EI source voltage: 70 eV; ion source temperature: 230 ° C; transmission line temperature: 280 ° C; solvent delay: 4 min. Scanning method: Full MS; mass scanning range 50-600 m/z, resolution 60,000 FHWM (200 m/z); epoxy heptachlor used to adjust retention time; mass spectrometry detection results collection and processing by TraceFinder (Version. 4.0); Obtain the chromatogram and mass spectrum of the cabbage under the specified chromatographic mass spectrometry, extract all the retention time in the chromatogram and its corresponding accurate mass, and establish the electronic ID of the pesticide in the cabbage corresponding to all retention time.
3、结球甘蓝中农药残留筛查3. Screening of pesticide residues in cabbage
在全扫描模式下测定样品溶液,将筛查结果与GC-Q-Orbitrap电子身份数据库进行比对,得出农药检出情况。依次将结球甘蓝中农药的电子身份证与电子身份数据库中每个农药化合物的电子身份证比较,如果(ΔT≤0.15并且ΔP≤10%),则记录该农药化合物,如果(ΔT≤0.15并且10%<ΔP≤30%),则通过质谱图中质谱峰的高度和重合度确定度判断是否包括该农药化合物,否则进入下一个结球甘蓝中农药的电子身份证进行比较;检测完成,显示结球甘蓝样品溶液中所含农药化合物的信息。The sample solution was measured in the full scan mode, and the screening results were compared with the GC-Q-Orbitrap electronic identity database to obtain the pesticide detection. The electronic ID card of the pesticide in the cabbage is sequentially compared with the electronic ID of each pesticide compound in the electronic identity database. If (ΔT≤0.15 and ΔP≤10%), the pesticide compound is recorded if (ΔT≤0.15 and 10% < ΔP ≤ 30%), determine whether the pesticide compound is included by the height and coincidence degree of the mass spectrum peak in the mass spectrum, otherwise the electronic ID of the pesticide entering the next cabbage is compared; the detection is completed, and the display is completed. Information on pesticide compounds contained in the cabbage sample solution.
某省会城市结球甘蓝样品中GC-Q-Orbitrap筛查结果GC-Q-Orbitrap screening results in cabbage samples from a provincial capital
采集某省会城市市售结球甘蓝样品12个,应用GC-Q-Orbitrap技术进行600多种农药残留筛查,GC-Q-Orbitrap技术检出12种农药残留,共计32频次,涉及样品12个,具体结果见表3。Twelve samples of cabbage sold in a provincial capital were collected, and more than 600 pesticide residues were screened by GC-Q-Orbitrap technique. Twelve pesticide residues were detected by GC-Q-Orbitrap technique, totaling 32 frequency, involving 12 samples. The specific results are shown in Table 3.
表3 某地区结球甘蓝样品中GC-Q-Orbitrap筛查结果Table 3 GC-Q-Orbitrap screening results in cabbage samples from a region
Figure PCTCN2018120999-appb-000025
Figure PCTCN2018120999-appb-000025
实施例2Example 2
番茄中600多种农药(如前述说明的农药)GC-Q-Orbitrap筛查和确证技术实施实例。Examples of GC-Q-Orbitrap screening and confirmation techniques for more than 600 pesticides in tomatoes (such as the pesticides described above).
样品前处理步骤、GC-Q-Orbitrap操作条件和样品中农药残留筛查过程均参照实施例1。The sample pretreatment step, the GC-Q-Orbitrap operating conditions, and the pesticide residue screening process in the sample are all referred to in Example 1.
某省会城市番茄样品中GC-Q-Orbitrap筛查结果:采集某省会城市市售番茄样品16个,应用GC-Q-Orbitrap技术进行600多种农药残留筛查,GC-Q-Orbitrap技术检出16种农药残留,共计45频次,涉及样品15个,具体结果见表4。GC-Q-Orbitrap screening results in tomato samples from a provincial capital: 16 samples of commercially available tomato samples from a provincial capital were collected, and more than 600 pesticide residues were screened using GC-Q-Orbitrap technology. GC-Q-Orbitrap technique was detected. There are 16 kinds of pesticide residues, totaling 45 frequency, involving 15 samples. The specific results are shown in Table 4.
表4 某地区番茄样品中GC-Q-Orbitrap筛查结果Table 4 GC-Q-Orbitrap screening results in tomato samples from a certain area
实施例3Example 3
葡萄中600多种农药(如前述说明的农药)GC-Q-Orbitrap筛查和确证技术实施实例。Examples of GC-Q-Orbitrap screening and confirmation techniques for more than 600 pesticides in grapes (such as the pesticides described above).
样品前处理步骤、GC-Q-Orbitrap操作条件和样品中农药残留筛查过程均参照实施例1。The sample pretreatment step, the GC-Q-Orbitrap operating conditions, and the pesticide residue screening process in the sample are all referred to in Example 1.
某省会城市葡萄样品中GC-Q-Orbitrap筛查结果:采集某省会城市市售葡萄样品16个,应用GC-Q-Orbitrap技术进行600多种农药残留筛查,GC-Q-Orbitrap技术检出21种农药残留,共计73频次,涉及样品16个,具体结果见表5。GC-Q-Orbitrap screening results in grape samples from a provincial capital: 16 samples of grape samples from a provincial capital were collected, and more than 600 pesticide residues were screened using GC-Q-Orbitrap technology. GC-Q-Orbitrap technique was detected. There were 21 pesticide residues, totaling 73 frequency, involving 16 samples. The specific results are shown in Table 5.
表5 某地区葡萄样品中GC-Q-Orbitrap筛查结果Table 5 GC-Q-Orbitrap screening results in grape samples from a region
Figure PCTCN2018120999-appb-000027
Figure PCTCN2018120999-appb-000027
上文所列出的一系列的详细说明仅仅是针对本发明的可行性实施方式的具体说明,它们并非用以限制本发明的保护范围,凡未脱离本发明技艺精神所作的等效实施方式或变更均应包含在本发明的保护范围之内。The series of detailed descriptions set forth above are merely illustrative of the possible embodiments of the present invention, and are not intended to limit the scope of the present invention. Changes are intended to be included within the scope of the invention.

Claims (10)

  1. 一种基于GC-Q-Orbitrap的食用农产品中农药化合物电子身份数据库,包括多种农药化合物电子身份证,所述电子身份证包括农药化合物信息、保留时间、质谱图、以及碎片离子信息,其特征在于:An electronic identity database of pesticide compounds in edible agricultural products based on GC-Q-Orbitrap, comprising a plurality of pesticide compound electronic identification cards, including pesticide compound information, retention time, mass spectrum, and fragment ion information, characteristics thereof Lie in:
    所述农药化合物信息包括化合物名称、化合物分子式;The pesticide compound information includes a compound name, a compound molecular formula;
    制备农药化合物样品,通过GC-Q-Orbitrap仪器在Full MS模式下获得所述农药化合物指定色谱质谱条件下的色谱图,所述色谱图中的色谱峰处时间即为所述保留时间;Preparing a sample of the pesticide compound, and obtaining a chromatogram of the pesticide compound under specified chromatographic mass spectrometry conditions in a Full MS mode by a GC-Q-Orbitrap apparatus, wherein the time of the peak in the chromatogram is the retention time;
    所述质谱图是所述保留时间下通过GC-Q-Orbitrap仪器获得的一级全扫描图;The mass spectrum is a first-level full scan obtained by the GC-Q-Orbitrap instrument at the retention time;
    所述碎片离子由所述质谱图中选择确定,所述碎片离子包括1个基峰离子和多个确证离子,所述基峰离子为信号强度高、质量数大的碎片离子,所述基峰离子不选同位素峰的离子;The fragment ions are determined by selection in the mass spectrum, and the fragment ions include one base peak ion and a plurality of confirming ions, and the base peak ions are fragment ions having high signal intensity and large mass, the base peak The ion does not select the ion of the isotope peak;
    所述碎片离子信息包括离子丰度比和理论精确质量数;The fragment ion information includes an ion abundance ratio and a theoretical accurate mass number;
    所述离子丰度比是碎片离子与基峰离子的信号强度比;The ion abundance ratio is a signal intensity ratio of the fragment ion to the base peak ion;
    所述数据库按照电子身份证中的保留时间进行排序。The database is sorted according to the retention time in the electronic ID card.
  2. 根据权利要求1所述的一种基于GC-Q-Orbitrap的食用农产品中农药化合物电子身份数据库,其特征在于,所述电子身份数据库还包括智能匹配模型,匹配模型在所述电子身份证中增加智能匹配值P m,其计算模型为: The electronic identity database of a pesticide compound in an edible agricultural product based on GC-Q-Orbitrap according to claim 1, wherein the electronic identity database further comprises an intelligent matching model, and the matching model is added to the electronic identity card. The intelligent matching value P m , whose calculation model is:
    Figure PCTCN2018120999-appb-100001
    Figure PCTCN2018120999-appb-100001
    Figure PCTCN2018120999-appb-100002
    Figure PCTCN2018120999-appb-100002
    W b+W q=1; W b + W q =1;
    其中M b为基峰离子的理论精确质量数,M i为第i个确证离子的精确质量数,W i为第i个确证离子的权重,I i为第i个确证离子的离子丰度比,确证离子的排列顺序为离子丰度比的从大到小;W b为基峰离子的权重,W q为确证离子的综合权重,n为碎片离子的个数。 Where M b is the theoretical exact mass of the base peak ion, M i is the exact mass of the ith confirmed ion, W i is the weight of the ith confirmed ion, and I i is the ion abundance ratio of the ith confirmed ion It is confirmed that the order of ions is from the largest to the smallest of the ion abundance ratio; W b is the weight of the base peak ions, W q is the comprehensive weight of the confirmed ions, and n is the number of fragment ions.
  3. 根据权利要求1所述的一种基于GC-Q-Orbitrap的食用农产品中农药化合物电子身份数据库,其特征在于,所述W b,W q可根据智能匹配模型的变化进行调整,一般取值为W b=W q=0.5。 The electronic identity database of pesticide compounds in edible agricultural products based on GC-Q-Orbitrap according to claim 1, wherein the W b and W q can be adjusted according to changes in the intelligent matching model, and the general value is W b = W q = 0.5.
  4. 根据权利要求1或2所述的一种基于GC-Q-Orbitrap的食用农产品中农药化合 物电子身份数据库,其特征在于,所述碎片离子的选择依据离子丰度和离子质量数,所述离子丰度为所述质谱图中离子的信号强度,所述碎片离子数为5个,所述碎片离子选择的原则为:The electronic identity database of pesticide compounds in edible agricultural products based on GC-Q-Orbitrap according to claim 1 or 2, wherein the selection of the fragment ions is based on ion abundance and ion mass number, The degree is the signal intensity of the ions in the mass spectrum, the number of the fragment ions is five, and the principle of the fragment ion selection is:
    如果ΔI>10%,则取I i,I j中最大值;否则取M i,M j中最大值; If ΔI>10%, take the maximum value of I i , I j ; otherwise take the maximum value of M i , M j ;
    其中:I i,I j为最相近的两个碎片离子的离子丰度比,ΔI=|I i-I j|,M i,M j为上述最相近的两个碎片离子的精确质量数,所述离子碎片的排列顺序为按照离子丰度比从大到小。 Where: I i , I j are the ion abundance ratios of the two closest fragment ions, ΔI=|I i -I j |, M i , M j are the exact masses of the two closest fragment ions, The arrangement of the ion fragments is in accordance with the ion abundance ratio from large to small.
  5. 根据权利要求1或2所述的一种基于GC-Q-Orbitrap的食用农产品中农药化合物电子身份数据库,其特征在于,所述碎片离子的理论精确质量数的确定方法为:The electronic identity database of pesticide compounds in edible agricultural products based on GC-Q-Orbitrap according to claim 1 or 2, wherein the theoretical accurate mass of the fragment ions is determined by:
    1)根据化合物分子式,明确碎片离子元素组成;1) clarify the composition of the fragment ion element according to the molecular formula of the compound;
    2)根据质谱图中碎片离子的质量数M,通过计算获得可能的碎片离子元素组成列表;2) According to the mass number M of the fragment ions in the mass spectrum, a list of possible fragment ion element compositions is obtained by calculation;
    Figure PCTCN2018120999-appb-100003
    Figure PCTCN2018120999-appb-100003
    其中:M i为第i个碎片离子元素精确质量数,n为碎片离子的元素数,y i为第i个碎片离子对应元素的个数。 Where: M i is the exact mass of the i-th fragment ion element, n is the number of elements of the fragment ion, and y i is the number of elements corresponding to the i-th fragment ion.
    3)通过分子结构的裂解机理从碎片离子元素组成列表中选择合理的碎片离子元素组成,并计算其理论精确质量M′。3) Select a reasonable fragment ion element composition from the list of fragment ion element composition by the molecular structure cracking mechanism, and calculate its theoretical exact mass M'.
    M′=M 1y′ 1+M 2y′ 2+…+M ny′ n M'=M 1 y' 1 +M 2 y' 2 +...+M n y' n
    其中:M 1、M 2……M n为所述碎片离子元素精确质量数,y′ 1、y′ 2、……y′ n为优选碎片离子元素组成的对应元素的个数。 Wherein: M 1 , M 2 , ..., M n is the exact mass of the fragment ion element, and y' 1 , y' 2 , ... y' n are the number of corresponding elements of the preferred fragment ion element composition.
  6. 根据权利要求1或2所述的一种基于GC-Q-Orbitrap的食用农产品中农药化合物电子身份数据库,其特征在于:所述色谱图中出现两个及以上色谱峰时,计算所述农药化合物的保留指数,通过所述保留指数与所述农药化合物的标准保留指数相近程度确定所述农药化合物的保留时间;The electronic identity database of a pesticide compound in an edible agricultural product based on GC-Q-Orbitrap according to claim 1 or 2, wherein the pesticide compound is calculated when two or more peaks appear in the chromatogram a retention index determining the retention time of the pesticide compound by the degree to which the retention index is close to the standard retention index of the pesticide compound;
    所述保留指数R I的计算方法为: The calculation method of the retention index R I is:
    Figure PCTCN2018120999-appb-100004
    Figure PCTCN2018120999-appb-100004
    所述t R为校正保留时间,所述z和z+1分别为农药化合物(x)流出前后的正构烷烃所含碳原子的数目,所述t R(z)<t R(x)<t R(z+1),一般农药化合物中正构烷 烃所含碳原子的数目z大于4。 The t R is a corrected retention time, and the z and z+1 are respectively the number of carbon atoms contained in the normal paraffin before and after the leaching of the pesticide compound (x), and the t R (z) < t R (x) < t R (z+1), the number z of carbon atoms contained in normal paraffins in a general pesticide compound is greater than 4.
  7. 如权利要求1或2所述的一种基于GC-Q-Orbitrap的食用农产品中农药化合物电子身份数据库,其特征在于,所述色谱质谱条件为:The pesticide-based compound electronic identity database for edible agricultural products based on GC-Q-Orbitrap according to claim 1 or 2, wherein the chromatographic mass spectrometry conditions are:
    色谱条件:气相色谱柱为TG-5SILMS,30m×0.25mm(i.d.)×0.25μm质谱专用柱;程序升温过程:40℃保持1min,然后以30℃/min程序升温至130℃,再以5℃/min升温至250℃,再以10℃/min升温至300℃,保持5min;载气:氦气,纯度≥99.999%,流速1.2mL/min;进样口类型:PTV;进样量:1μL;进样方式:程序升温进样,不分流时间1.5min;Chromatographic conditions: GC column is TG-5SILMS, 30m × 0.25mm (id) × 0.25μm special column for mass spectrometry; temperature programming process: 40 ° C for 1 min, then programmed to 30 ° C / min to 130 ° C, then 5 ° C /min warmed to 250 ° C, and then heated to 300 ° C at 10 ° C / min, held for 5 min; carrier gas: helium, purity ≥ 99.999%, flow rate 1.2mL / min; inlet type: PTV; injection volume: 1μL ; injection method: temperature programmed injection, no split time 1.5min;
    质谱条件:EI源电压:70eV;离子源温度:230℃;质谱端传输线温度:280℃;溶剂延迟:4min。扫描方式:Full MS;质量扫描范围50-600m/z,分辨率60,000FHWM(200m/z);环氧七氯用于调整保留时间。Mass spectrometry conditions: EI source voltage: 70 eV; ion source temperature: 230 ° C; mass spectrometry end transfer line temperature: 280 ° C; solvent delay: 4 min. Scanning mode: Full MS; mass scanning range 50-600 m/z, resolution 60,000 FHWM (200 m/z); epoxy heptachlor was used to adjust retention time.
  8. 一种基于GC-Q-Orbitrap的食用农产品中农药化合物检测方法,包括:A method for detecting pesticide compounds in edible agricultural products based on GC-Q-Orbitrap, comprising:
    1)将待检测样品经醋酸乙腈匀浆提取,经脱水和离心、浓缩后,再经Carbon/NH2柱净化,乙腈+甲苯洗脱残留农药,经浓缩、过滤后制成待测样品溶液;1) The sample to be tested is extracted by homogenization of acetic acid acetonitrile, dehydrated, centrifuged, concentrated, and then purified by Carbon/NH2 column, and the residual pesticide is eluted by acetonitrile + toluene, and concentrated and filtered to prepare a sample solution to be tested;
    2)通过GC-Q-Orbitrap仪器在Full MS模式下获得样品溶液指定色谱质谱条件下的色谱图和质谱图;2) Obtain a chromatogram and a mass spectrum of the sample solution under the specified chromatographic mass spectrometry in the Full MS mode by the GC-Q-Orbitrap instrument;
    3)提取色谱图中的所有保留时间及其对应的精确质量数,建立所有保留时间对应的未知物的电子身份证;3) Extract all the retention times in the chromatogram and their corresponding accurate masses, and establish an electronic ID card of all unknowns corresponding to the retention time;
    4)依次将未知物电子身份证与权利要求2中的电子身份数据库中每个农药化合物的电子身份证比较,如果ΔT≤0.15并且ΔP≤10%,则记录该农药化合物,否则进入下一个未知物电子身份证的比较;4) sequentially comparing the unknown electronic ID card with the electronic identification card of each pesticide compound in the electronic identity database of claim 2, if ΔT ≤ 0.15 and ΔP ≤ 10%, recording the pesticide compound, otherwise entering the next unknown Comparison of electronic ID cards;
    5)检测完成,显示样品溶液中所含农药化合物的信息;5) The test is completed, and the information of the pesticide compound contained in the sample solution is displayed;
    其中ΔT为未知物保留时间与数据库中任一农药化合物保留时间的差值,
    Figure PCTCN2018120999-appb-100005
    其中P c为未知物智能匹配值,P i数据库中任一农药化合物智能匹配值。
    Where ΔT is the difference between the retention time of the unknown and the retention time of any pesticide compound in the database,
    Figure PCTCN2018120999-appb-100005
    Where P c is the intelligent matching value of the unknown, and the intelligent matching value of any pesticide compound in the P i database.
  9. 如权利要求8所述的一种基于GC-Q-Orbitrap的食用农产品中农药化合物检测方法,其特征在于,步骤4)中如果ΔT≤0.15并且10%<ΔP≤30%,则通过质谱图中质谱峰的高度和重合度确定度判断是否包括该农药化合物。The method for detecting a pesticide compound in an edible agricultural product based on GC-Q-Orbitrap according to claim 8, wherein in step 4), if ΔT ≤ 0.15 and 10% < ΔP ≤ 30%, passing through the mass spectrum The height of the mass spectrum peak and the degree of coincidence determination determine whether or not the pesticide compound is included.
  10. 如权利要求8所述的一种基于GC-Q-Orbitrap的食用农产品中农药化合物检测方法,其特征在于,步骤1)所述样品的前处理:The method for detecting a pesticide compound in an edible agricultural product based on GC-Q-Orbitrap according to claim 8, wherein the step 1) pretreatment of the sample:
    称取10.0g样品(精确到0.01g)于100mL离心管中,加入30~40mL酸化乙腈提取液,10000~11000rpm均质1~2min;加入无水硫酸镁和氯化钠(质量比,4:1),振荡8~10min;4200rpm离心5~7min后,取15~20mL上清液于150mL鸡心瓶中,40℃水浴加热旋转蒸发至1~2mL,待净化;Weigh 10.0g sample (accurate to 0.01g) in a 100mL centrifuge tube, add 30 ~ 40mL acidified acetonitrile extract, 10000 ~ 11000rpm homogenization for 1 ~ 2min; add anhydrous magnesium sulfate and sodium chloride (mass ratio, 4: 1), shaking for 8 ~ 10min; centrifugation at 4200rpm for 5 ~ 7min, taking 15 ~ 20mL supernatant in 150mL chicken heart bottle, heated in a 40 ° C water bath rotary evaporation to 1 ~ 2mL, to be purified;
    使用CarbonNH2柱,在CarbonNH2柱内加入约1~2cm高的无水硫酸钠,用5~6mL乙腈-甲苯溶液预洗SPE净化柱,同时轻敲净化柱排出柱内气泡,净化柱下方流出液弃;待液面略高于硫酸钠顶部时,将浓缩液转移入净化柱,下接50mL鸡心瓶;用2~3mL乙腈-甲苯溶液冲洗沾有样品的鸡心瓶,将洗涤液转移至净化柱内,重复2~3次;柱上接25mL储液器,以25~30mL乙腈-甲苯溶液洗脱;收集完毕后旋转蒸发至约0.5mL,氮吹至近干,加入1mL乙酸乙酯溶液,超声溶解后经0.22μm尼龙膜过滤。Using a CarbonNH2 column, add about 1 to 2 cm of anhydrous sodium sulfate to the CarbonNH2 column, pre-wash the SPE purification column with 5 to 6 mL of acetonitrile-toluene solution, and tap the purification column to discharge the bubbles in the column. When the liquid level is slightly higher than the top of the sodium sulfate, transfer the concentrated liquid to the purification column, and then connect the 50mL chicken heart bottle; rinse the chicken heart bottle with the sample with 2~3mL acetonitrile-toluene solution, and transfer the washing liquid to the purification column. Repeat 2~3 times; connect 25mL reservoir on the column, elute with 25~30mL acetonitrile-toluene solution; after the collection is completed, spin to evaporate to about 0.5mL, nitrogen to near dry, add 1mL ethyl acetate solution, ultrasonically dissolve It was then filtered through a 0.22 μm nylon membrane.
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