CN105067683A - Electrochemical fingerprint identification of traditional Chinese medicine pawpaw - Google Patents

Electrochemical fingerprint identification of traditional Chinese medicine pawpaw Download PDF

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Publication number
CN105067683A
CN105067683A CN201510141375.4A CN201510141375A CN105067683A CN 105067683 A CN105067683 A CN 105067683A CN 201510141375 A CN201510141375 A CN 201510141375A CN 105067683 A CN105067683 A CN 105067683A
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pawpaw
galvanochemistry
finger
print
sample
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查孝柱
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Abstract

The present invention relates to a pawpaw electrochemical fingerprint identification method, provides a method for identifying the authenticity of pawpaw through an electrochemical fingerprint, and belongs to the field of traditional Chinese medicine quality control. The method comprises: A, establishing a pawpaw chemical component fingerprint, wherein pawpaw with the same production place and the same brand is adopted as a standard substance, the electrochemical fingerprint of all component is established through an oscillation reaction, and results are shown in figure 1; and B, detecting a sample, wherein a pawpaw sample to be detected is detected under the same conditions as the standard substance so as to obtain the fingerprint of the detected sample, and the fingerprints of the standard substance and the detected sample are analyzed through a direct observation method or Origin software analysis so as to be adopted as the qualitative basis. According to the present invention, all components of the pawpaw are made into the fingerprint, the method has advantages of good reproducibility, no requirement of pretreatment, simple and fast operation, economy and the like, can provide reliable information for the identification of the quality of all types of pawpaw and the identification of the low-price pawpaw and the high-price pawpaw, and is suitable for promotion in the technical field of pawpaw safety detection.

Description

The galvanochemistry finger-print of Chinese medicinal pawpaw is differentiated
Technical field
The present invention relates to a kind of galvanochemistry fingerprint spectrum method differentiating pawpaw, art: two, biological and new medical technology, (2) Chinese medicine, natural drug, 2, the exploitation of Chinese medicine new varieties, the development & application technology of necessary Chinese medicine standard items is controlled as traditional Chinese medicine quality.
Background technology
Pawpaw (Fructuschaenomelis) is the dry maturescent fruit of rosaceous plant chaenomeles lagenaria ChaenomelesSpeciosa (Sweet) Nakai, main product is in Xuancheng Profile, anhui Province, Qijiang County, Chongqing City and Hubei Zi Qiu ground, be tcm clinical practice conventional Chinese medicine, there is effect of flat liver relaxing muscles and tendons and stomach dampness elimination.What its chemical composition had been reported has organic acid, triterpenes, flavonoids, saponins, polysaccharide composition etc., but the association between chemical composition and its drug effect is had no to the report of further investigation at present.The domestic pawpaw finger-print mainly efficient liquid-phase chromatograph finger print atlas set up at present, the index composition emphasis of its research is organic acid, triterpenes, do not set up the finger-print of reflection pawpaw all Chemical Composition Characteristics, and galvanochemistry finger-print detects to as if Chinese crude drug in all chemical compositions.This research is with H 2sO 4-CH 2(COOH) 2-Ce (SO 4) 2-KBrO 3for chemical oscillation system, take pawpaw as vibration substrate, determine the galvanochemistry finger-print of Different sources pawpaw, discuss the impact of pawpaw addition on collection of illustrative plates, and it is compared with shine skin papaya, the capsule of weeping forsythia, selfheal, the fruit of glossy privet, hawthorn, dark plum, achieve good effect.
Summary of the invention
The object of the present invention is to provide a kind of easy, to be applicable to basic unit without the need to pre-service, the electrochemical fingerprint chromatogram identification method that detects the pawpaw true and false.
Technical scheme of the present invention is achieved in that this discriminating pawpaw galvanochemistry fingerprint technique, comprises the steps:
A, set up the galvanochemistry finger-print of pawpaw chemical composition:
A kind of pawpaw of the same place of production, brand is standard items, is set up the galvanochemistry finger-print of its chemical composition by oscillating reactions;
B, detection sample:
Get identical with the standard items respectively condition of pawpaw sample to be detected to detect, draw the spectrogram detecting sample, using both finger-print direct observational methods or Origin software analysis as qualitative foundation.
The galvanochemistry fingerprint technique of described discriminating pawpaw, concrete technical scheme comprises the steps:
A-1, standard items are selected:
Set up its chemical composition galvanochemistry finger-print for sample for a kind of pawpaw 4-8 of the same place of production, brand batch;
A-2, galvanochemistry fingerprint map analyzing condition:
Detecting instrument LK2005A type electrochemical workstation, HH-501 type thermostatic water-circulator bath pot, 85-2A type digital display constant temperature blender with magnetic force, 213 type metal foil electrodes, 217 type mercurous chloride electrodes;
Temperature (310 ± 0.05) K; 0.50g edible oil; 2.0mLCO (CH 3) 2solution; 12mL3.0mol/LH 2sO 4solution; 6mL0.4mol/LCH 2(COOH) 2solution; 3mL0.005mol/LCe (SO 4) 2solution; Rotating speed 400r/min magnetic stirring apparatus, constant temperature constant speed stirs 3min; 3mL0.2mol/LKBrO 3solution;
A-3, galvanochemistry finger-print information parameter are analyzed:
With Origin Software on Drawing E-t curve, namely obtain pawpaw galvanochemistry finger-print and its characteristic parameter.Collection of illustrative plates parameter is mainly: maximum potential (Emax): the current potential mxm. of oscillating curve, induction period (t induction): from adding the time of reagent to vibration generation, vibration life-span (t vibration): the time that starting of oscillation terminates to vibration, oscillation period: the time occurring adjacent peak in oscillatory process.The RSD < 3% of the various characteristic parameters of the galvanochemistry finger-print recorded;
B, detection sample:
Get pawpaw sample to be detected condition identical with standard items respectively to detect, draw the spectrogram detecting sample, using both finger-print direct observational methods or Origin software analysis as qualitative foundation, if the RSD < 10% of both TuPu method parameters can think that identical product, RSD > 10% can think non-identical product.
The finger-print that the used composition of the present invention to pawpaw is made, method favorable reproducibility, without the need to pre-service, easy and simple to handle and quick economic dispatch advantage, can provide authentic communication for the discriminating of all kinds of pawpaw quality, is suitable for promoting in pawpaw safety detection technology field.
Accompanying drawing explanation
Fig. 1 pawpaw galvanochemistry finger-print
Fig. 2 Different sources pawpaw galvanochemistry finger-print
Embodiment
1, the galvanochemistry finger-print of pawpaw chemical composition is set up:
With 7 batches of chrysanthemums Sheng board pawpaws for its chemical composition galvanochemistry finger-print set up by standard items;
Use instrument LK2005A type electrochemical workstation, HH-501 type thermostatic water-circulator bath pot, 85-2A type digital display constant temperature blender with magnetic force, 213 type metal foil electrodes, 217 type mercurous chloride electrodes;
Chemical oscillating reaction carries out in the reactor of the jacketed stirred continuously, opens thermostatic water-circulator bath pot, regulates temperature to control, at (310 ± 0.05) K, to add 0.50g pawpaw successively, 2.0mLCO (CH 3) 2solution, 12mL3.0mol/LH 2sO 4solution, 6mL0.4mol/LCH 2(COOH) 2solution, 3mL0.005mol/LCe (SO 4) 2solution, in the reactor of jacketed, builds the reactor cap of band thermometer, 213 type metal foil electrodes and 217 type mercurous chloride electrodes.Open the computing machine be connected by data collector, and magnetic stirring apparatus (rotating speed 400r/min), when constant temperature constant speed stirs 3min, add 3mL0.2mol/LKBrO rapidly by syringe 3solution, clicks menu image data at once, and record E-t curve is to electrical oscillation disappears, and with Origin Software on Drawing E-t curve, namely obtain pawpaw galvanochemistry collection of illustrative plates, result as shown in Figure 1.
Obtain 7 pawpaw galvanochemistry finger-prints and its characteristic parameter.The RSD < 3% of the various characteristic parameters of the galvanochemistry finger-print recorded.
2, sample is detected:
With the condition that above-mentioned bioassay standard product are identical, measure Different sources pawpaw respectively, the result of its galvanochemistry finger-print as shown in Figure 2.From whole finger-print, there is obviously difference in the E-t curve of different cultivars pawpaw, naked eyes can find out the difference of variety classes pawpaw.The RSD > 10% of the various characteristic parameters of the galvanochemistry finger-print recorded.
3, reappearance is investigated:
Get 6 parts of pawpaw samples, measure its collection of illustrative plates, the RSD < 3% of the various characteristic parameters of the galvanochemistry finger-print recorded, show that method has good reappearance.
The present invention differentiates that the galvanochemistry fingerprint technique of pawpaw is stable for each characteristic parameter of the chemical component fingerprint of specific sample.Only each place of production, brand pawpaw standard finger-print and sample spectrum data Origin software need be derived when differentiating, if the RSD < 10% of both TuPu method parameters can think that identical product, RSD > 10% can think non-identical product.The present invention can be used for discriminating and the quality control of different pawpaw.

Claims (1)

1. differentiate a galvanochemistry fingerprint spectrum method for Chinese medicinal pawpaw, it is characterized in that comprising the steps:
A, set up the galvanochemistry finger-print of pawpaw chemical composition:
A kind of pawpaw of the same place of production, brand is standard items, is set up the galvanochemistry finger-print of its chemical composition by oscillating reactions;
B, detection sample:
Get identical with the standard items respectively condition of pawpaw sample to be detected to detect, draw the spectrogram detecting sample, using both finger-print direct observational methods or Origin software analysis as qualitative foundation.
The galvanochemistry fingerprint technique of described discriminating pawpaw, concrete technical scheme comprises the steps:
A-1, standard items are selected:
Set up its chemical composition galvanochemistry finger-print for sample for a kind of pawpaw 4-8 of the same place of production, brand batch;
A-2, galvanochemistry fingerprint map analyzing condition:
Detecting instrument LK2005A type electrochemical workstation, HH-501 type thermostatic water-circulator bath pot, 85-2A type digital display constant temperature blender with magnetic force, 213 type metal foil electrodes, 217 type mercurous chloride electrodes;
Temperature (310 ± 0.05) K; 0.50g Common Floweringqince Fruit; 2.0mLCO (CH 3) 2solution; 12mL3.0mol/LH 2sO 4solution; 6mL0.4mol/LCH 2(COOH) 2solution; 3mL0.005mol/LCe (SO 4) 2solution; Rotating speed 400r/min magnetic stirring apparatus, constant temperature constant speed stirs 3min; 3mL0.2mol/LKBrO 3solution;
A-3, galvanochemistry finger-print information parameter are analyzed:
With Origin Software on Drawing E-t curve, namely obtain pawpaw galvanochemistry finger-print and its characteristic parameter.Collection of illustrative plates parameter is mainly: maximum potential (Emax): the current potential mxm. of oscillating curve, induction period (t induction): from adding the time of reagent to vibration generation, vibration life-span (t vibration): the time that starting of oscillation terminates to vibration, oscillation period: the time occurring adjacent peak in oscillatory process.The RSD < 3% of the various characteristic parameters of the galvanochemistry finger-print recorded;
B, detection sample:
Get pawpaw sample to be detected condition identical with standard items respectively to detect, draw the spectrogram detecting sample, using both finger-print direct observational methods or Origin software analysis as qualitative foundation, if the RSD < 10% of both TuPu method parameters can think that identical product, RSD > 10% can think non-identical product.
CN201510141375.4A 2015-03-16 2015-03-16 Electrochemical fingerprint identification of traditional Chinese medicine pawpaw Pending CN105067683A (en)

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Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106324053A (en) * 2016-11-08 2017-01-11 邯郸学院 Nonlinear finger-print detection method for traditional Chinese medicine fructus forsythiae
CN108333232A (en) * 2018-01-16 2018-07-27 吉林省吴太感康药业有限公司 A kind of detection method of the electrochemistry finger-print of calculus bovis factitius
CN109507247A (en) * 2018-12-11 2019-03-22 邯郸学院 Identify the method in the millet place of production based on nonlinear chemical fingerprint
CN109556932A (en) * 2018-12-05 2019-04-02 邯郸学院 Identify the method for the polyurethane aqueous woodcare paint true and false based on non-linear finger-print
CN110243888A (en) * 2019-06-25 2019-09-17 中山火炬职业技术学院 A kind of method of electrochemistry finger-print detection bird's nest
CN112816540A (en) * 2021-01-11 2021-05-18 湖南化工职业技术学院(湖南工业高级技工学校) Electrochemical fingerprint spectrum identification method for edible oil

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1895289A (en) * 2006-06-07 2007-01-17 中国科学院长春应用化学研究所 Chinese herb discrimination
CN1895312A (en) * 2006-06-07 2007-01-17 中国科学院长春应用化学研究所 Inspection of manyprickle acanthopanax
CN102565169A (en) * 2012-01-05 2012-07-11 查孝柱 Electrochemical fingerprint chromatogram identification method for edible oil
CN102998350A (en) * 2012-12-10 2013-03-27 西南大学 Method for distinguishing edible oil from swill-cooked dirty oil by electrochemical fingerprints
CN104569089A (en) * 2014-12-29 2015-04-29 中国烟草总公司山东省公司 Method for identifying type of tobacco leaf or tobacco shred by non-linear chemical fingerprints

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN1895289A (en) * 2006-06-07 2007-01-17 中国科学院长春应用化学研究所 Chinese herb discrimination
CN1895312A (en) * 2006-06-07 2007-01-17 中国科学院长春应用化学研究所 Inspection of manyprickle acanthopanax
CN102565169A (en) * 2012-01-05 2012-07-11 查孝柱 Electrochemical fingerprint chromatogram identification method for edible oil
CN102998350A (en) * 2012-12-10 2013-03-27 西南大学 Method for distinguishing edible oil from swill-cooked dirty oil by electrochemical fingerprints
CN104569089A (en) * 2014-12-29 2015-04-29 中国烟草总公司山东省公司 Method for identifying type of tobacco leaf or tobacco shred by non-linear chemical fingerprints

Non-Patent Citations (1)

* Cited by examiner, † Cited by third party
Title
查孝柱等: "中药木瓜的电化学指纹图谱研究", 《中国实验方剂学杂志》 *

Cited By (9)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106324053A (en) * 2016-11-08 2017-01-11 邯郸学院 Nonlinear finger-print detection method for traditional Chinese medicine fructus forsythiae
CN108333232A (en) * 2018-01-16 2018-07-27 吉林省吴太感康药业有限公司 A kind of detection method of the electrochemistry finger-print of calculus bovis factitius
CN109556932A (en) * 2018-12-05 2019-04-02 邯郸学院 Identify the method for the polyurethane aqueous woodcare paint true and false based on non-linear finger-print
CN109556932B (en) * 2018-12-05 2020-12-18 邯郸学院 Method for identifying authenticity of polyurethane water-based wood paint based on nonlinear fingerprint spectrum
CN109507247A (en) * 2018-12-11 2019-03-22 邯郸学院 Identify the method in the millet place of production based on nonlinear chemical fingerprint
CN109507247B (en) * 2018-12-11 2021-09-24 邯郸学院 Method for identifying millet producing area based on nonlinear chemical fingerprint spectrum
CN110243888A (en) * 2019-06-25 2019-09-17 中山火炬职业技术学院 A kind of method of electrochemistry finger-print detection bird's nest
CN110243888B (en) * 2019-06-25 2022-04-29 中山火炬职业技术学院 Method for detecting edible bird's nest by electrochemical fingerprint spectrum
CN112816540A (en) * 2021-01-11 2021-05-18 湖南化工职业技术学院(湖南工业高级技工学校) Electrochemical fingerprint spectrum identification method for edible oil

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Application publication date: 20151118