CN107884390A - Utilize the method for the unknown pollution of spectroscopic methodology detection Juice - Google Patents
Utilize the method for the unknown pollution of spectroscopic methodology detection Juice Download PDFInfo
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- CN107884390A CN107884390A CN201711475688.9A CN201711475688A CN107884390A CN 107884390 A CN107884390 A CN 107884390A CN 201711475688 A CN201711475688 A CN 201711475688A CN 107884390 A CN107884390 A CN 107884390A
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- juice
- pollution
- unknown
- unknown pollution
- raman spectrum
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/65—Raman scattering
Abstract
The invention belongs to spectral detection field, more particularly to the method for the unknown pollution of spectroscopic methodology detection Juice, this method is that caused Raman spectrum is analyzed, compared after the irradiation of 473nm laser using Juice, so as to obtain element, composition and the intensity of contained unknown pollution in Juice.The present invention is different from the prior art, can only be compared with known pollution sample by the detection for Juice pollutant, look for whether the method for known pollution be present, contaminated by Bi compare Wu pollution and have the spectrum of both unknown pollutions, compare again by big data, through cloud computing, the composition and Strong degree of unknown pollution are found out.
Description
Technical field
The invention belongs to spectral detection field, and in particular to the method for the unknown pollution of spectroscopic methodology detection Juice.
Background technology
Fruit-vegetable juice beverage is increased and the very fast production of development speed in mass consumption food, and global beverage industry
Product, it occupies very important status in the food consumption in the whole world.In the composition of China's beverage market, fruit-vegetable juice beverage is about
Account for 14%.Fruit and vegetable juice product refer to fruits and vegetables after harvesting through selecting, cleaning and sterilizing, squeeze the juice, prepare, pack made of production
Product, including concentration Juice and fruit-vegetable juice beverage finished product.Fruit and vegetable juice product is wide in variety, and yield is big, in raw material planting, processing and storage
During fortune there may be it is biological, chemically with physical three class endanger in certain harm.Reduction and control and fruit
The relevant food origin disease of vegetable juice, has caused the attention of food security department of various countries.
Juice is nutritious food, is adapted to the growth and breeding of microorganism, such as Escherichia coli, salmonella, monocyte
Hypertrophic Listera, hidden spore parasite etc..It is edible to be caused serious food-borne disease by the Juice of pathogen contamination
The generation of disease, especially to specific group, the adult of children less than normal, the elderly and those immunologic hypofunctions such as the age.Rod is bent
Mycin is common by mycetogenetic mould rhzomorph in apple, and there may be the Aspergillusclavatus of high concentration for rotten or mouldy apple
Element, when natural shedding, the fruit injured by insect or bird, harvesting abrasive fruit or storage requirement it is bad be likely to breed it is mould
Bacterium and produce clavacin.Because the condition of heating can not destroy clavacin, Juice is processed using above-mentioned fruit, then may
Make the clavacin that high concentration is remained in Juice.In addition, the virus carrier in farm hand or processor may cause fruit
The virus pollution of vegetable juice.Because China has the phenomenon of pesticide abuse, therefore chemical hazard caused by residues of pesticides is fruits and vegetables
One of main harm of juice product.Insecticide is widely used for preventing the pest and disease damage of water fruits and vegetables, cereal and other food,
Therefore it may be remained in these food, potential chemical hazard is produced to Juice.Heavy metal such as lead and for metal can
The tin of interlayer coatings can also damage to Juice, and the edible fruit-vegetable juice beverage containing excess amounts of tin can cause acute gastrointestinal disease
Disease.Obviously general detection, it is very difficult to judge Ge pollution dye, especially unknown pollution.
Spectral analysis technique is in many of the analysis measure of organic compound unique superiority：1. analysis process becomes
Simply.2. penetration depth is big so that laser spectrum tech can directly be determined using diffusing reflection technology to sample.3. obtain
The spectral signal of sample, it is not necessary to add other reagents.The primary place of production or container can be sent as sample measure is latter back to, therefore surveyed
Determine process not polluting the environment.4. analyze speed is fast, the information of spectrum must have computer to carry out data processing and statistical analysis,
Qualitative or quantitative analysis result can be obtained after typically obtaining the spectroscopic data of a sample, whole process can be less than 2min
Interior completion.5. for the very high quantitative result of precision can also to be obtained during qualitative analysis to sample.
Using spectroscopic methodology and big data, unknown pollution is found out in cloud computing, more free of contamination dairy products fluorescence spectrum and by
The dairy products fluorescence spectrum of unknown pollution, then compared by various elements in big data and pollutant, Zhao Chu pollution contaminate the source of thing.
The content of the invention
The goal of the invention of the present invention is to provide a kind of method using the unknown pollution of spectroscopic methodology detection Juice, so as to
Effectively find out the composition and intensity of unknown pollution.
In order to realize the goal of the invention of the present invention, we disclose a kind of side using the unknown pollution of spectroscopic methodology detection Juice
Method, this method is that caused Raman spectrum is analyzed, compared after the irradiation of 473nm laser using Juice, so as to obtain fruit
Element, composition and the intensity of contained unknown pollution in vegetable juice.
Specifically include following steps：
（1）Juice sample prepares；
（2）Juice sample is irradiated using 473nm laser；
（3）Gather Juice caused Raman spectrum after irradiation；
（4）Raman spectrum data is compared with spectrum big data；
（5）Obtain whether containing pollutant in Juice by cloud computing, and the element of pollutant, composition and intensity.
Described Juice preparation of samples refers to prepare the Juice containing pollutant respectively and does not contain the fruit of pollutant
Vegetable juice.
The collection fluorescence data refers to that carrying out data to Raman spectrum by linear silicon ccd array detector adopts
Collection.
Preferably, generating laser and detector are set in vertical direction.
Described spectrum big data refers to utilize step（1）-（3）Disclosed mode, respectively to it is free of contamination, contain pollution
The Juice of thing carries out the Raman spectrum detection under the irradiation of 473nm laser, and records its Raman spectrum respectively.
We have drawing caused by the Juice of Raman spectrum caused by the Juice of pollutant and contamination-free by contrast
Graceful spectrum, compares and cloud computing by big data, according to related Raman spectrum specific wavelength come determine the element of polluter and
Component, the content of polluter is determined according to the intensity of specific wavelength.
With in the big data of high in the clouds pollutant spectroscopic data it is abundant, the application of this method expands also with continuous.
The present invention is beaten on Juice is tested using 473nm laser, the molecule of tested Juice, Atomic absorption exciting light
After energy, high level is transitted to from low-lying level.The high level is unstable, through after a period of time, molecule, atom are spontaneous
Stable state or metastable lower level are transitted to from the high level of unstable state, is simultaneously emitted by a photon.Different atom, molecule
Energy level be fixed, therefore the photon energy that they send is certain, i.e., wavelength is certain.As long as we measure the fluorescence
Wavelength, except that can identify surveyed Juice element and composition, also comparable intensity, we can measure its content.And
We first measure the Raman spectrum of free of contamination Juice, then suspection is had into pollution, and do not know the Juice of pollutant, profit
Beaten with 473nm laser on tested Juice, measure Raman spectrum, compare both spectrum, then compared by big data, passed through
Cloud computing, find out the composition and Strong degree of unknown pollution.
The present invention further discloses the system for detecting the unknown pollution of Juice, including blue light source, base, spectrum
Instrument and computer, between blue light source and base using optical fiber connect, connected between base and spectrometer by optical fiber, spectrometer with
Connected between computer by data wire.
The detection for Juice pollutant can only look for whether exist compared with known pollution sample in the prior art
Know pollution, the present invention is contaminated Wu pollution by Bi compare and has the spectrum of both unknown pollutions, then is compared by big data, through cloud meter
Calculate, find out the composition and Strong degree of unknown pollution.
Brief description of the drawings
Fig. 1 detection means schematic diagrames.
Embodiment
In order to be better understood from the present invention, below we in conjunction with specific embodiments to the present invention further explained
State.
Embodiment 1
According to the connected mode shown in Fig. 1, by the system connectivity for detecting unknown pollution in Juice, the device includes blue light
Light source 1, base 2, spectrometer 3 and computer 4, connected between blue light source 1 and base 2 using optical fiber 5, base 2 and spectrometer 3 it
Between connected by optical fiber 5, connected between spectrometer 3 and computer 4 by data wire 6.
Spectrometer is HR4000CG-UV-NIR broadband high resolution spectrometers in this example, and HR4000CG-UV-NIR is wide
Wave band high resolution spectrometer excitation wavelength range is 200-1100nm.
Detector is the linear silicon ccd array of 3648 pixels, and power consumption is 450ma@5VCD.
Optical fiber is R4000-7-WV/VIS optical fiber.
Base is 1cm Cuvette Holder sample stalls.
473nm blue lasers, 90 ° of direction arrangements of exciting light and detector.Because fluorescence does not have directionality, it is to surrounding
Transmitting, therefore detector can be placed on the position in 90 ° with exciting light to receive fluorescence.
In use, blue light source 1 is accessed into power supply, blue light source is then sent, and by fibre-optical probe to Juice
Fluorescence spectrum is detected, and the spectral information that dairy products reflect is collected using spectrometer and computer, analysis.
By more pollution-free and have unknown pollution（Doubtful pollution）Both spectrum, then compared and cloud meter by big data
Calculate, obtain the composition and intensity of unknown pollution.
For example, we are by the Juice for having unknown pollution and after not containing the Juice of pollution by 473nm blue light illuminations,
The Raman spectral information of the two is collected, it is then determined that contain unknown pollution in the Juice, and by by the Raman spectrum light
Spectrum information and Raman spectrum spectrum big data and cloud computing, it is Escherichia coli to know the pollutant.
Meanwhile further, the content of Escherichia coli can be known using luminous intensity in Raman spectrum.
Claims (6)
1. a kind of method using the unknown pollution of spectroscopic methodology detection Juice, it is characterized in that, this method is existed using Juice
Caused Raman spectrum is analyzed, compared after the irradiation of 473nm laser, so as to obtain the member of contained unknown pollution in Juice
Element, composition and intensity.
2. the method according to claim 1 using the unknown pollution of spectroscopic methodology detection Juice, it is characterized in that：Specifically include
Following steps：
（1）Juice sample prepares；
（2）Juice sample is irradiated using 473nm laser；
（3）Gather Juice caused Raman spectrum after irradiation；
（4）Raman spectrum data is compared with spectrum big data；
（5）Obtain whether containing pollutant in Juice by cloud computing, and the element of pollutant, composition and intensity.
3. the method according to claim 1 using the unknown pollution of spectroscopic methodology detection Juice, it is characterized in that：Juice sample
Product prepare to refer to prepare the Juice containing pollutant respectively and do not contain the Juice of pollutant.
4. the method according to claim 1 using the unknown pollution of spectroscopic methodology detection Juice, it is characterized in that：The collection
Fluorescence data refers to carry out data acquisition to Raman spectrum by linear silicon ccd array detector.
5. for the system that detects the unknown pollution of Juice, including blue light source, base, spectrometer and computer, blue light source with
Connected between base using optical fiber, connected between base and spectrometer by optical fiber, pass through data wire between spectrometer and computer
Connection.
6. the system according to claim 5 for detecting the unknown pollution of Juice, it is characterized in that：Generating laser and spy
Device is surveyed to set in vertical direction.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711475688.9A CN107884390A (en) | 2017-12-29 | 2017-12-29 | Utilize the method for the unknown pollution of spectroscopic methodology detection Juice |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201711475688.9A CN107884390A (en) | 2017-12-29 | 2017-12-29 | Utilize the method for the unknown pollution of spectroscopic methodology detection Juice |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN107884390A true CN107884390A (en) | 2018-04-06 |
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ID=61770494
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| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201711475688.9A Pending CN107884390A (en) | 2017-12-29 | 2017-12-29 | Utilize the method for the unknown pollution of spectroscopic methodology detection Juice |
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109557077A (en) * | 2019-01-23 | 2019-04-02 | 江西农业大学 | Portable multifunctional Raman spectrum for Detecting Pesticide in fruit and fruit juice acquires attachment |
| CN110346260A (en) * | 2019-08-02 | 2019-10-18 | 东北石油大学 | Fine and close oil reservoir matrix rock core static state imbibition recovery ratio laser measuring device for measuring and method |
-
2017
- 2017-12-29 CN CN201711475688.9A patent/CN107884390A/en active Pending
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN109557077A (en) * | 2019-01-23 | 2019-04-02 | 江西农业大学 | Portable multifunctional Raman spectrum for Detecting Pesticide in fruit and fruit juice acquires attachment |
| CN110346260A (en) * | 2019-08-02 | 2019-10-18 | 东北石油大学 | Fine and close oil reservoir matrix rock core static state imbibition recovery ratio laser measuring device for measuring and method |
| CN110346260B (en) * | 2019-08-02 | 2022-03-08 | 东北石油大学 | Laser measurement device and method for static imbibition recovery ratio of matrix core of tight oil reservoir |
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| WD01 | Invention patent application deemed withdrawn after publication |
Application publication date: 20180406 |
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| WD01 | Invention patent application deemed withdrawn after publication |