CN105044161A - Method for discriminating furacilin and furazolidone in Tegillarca granosa by using electron nose - Google Patents

Method for discriminating furacilin and furazolidone in Tegillarca granosa by using electron nose Download PDF

Info

Publication number
CN105044161A
CN105044161A CN201510383229.2A CN201510383229A CN105044161A CN 105044161 A CN105044161 A CN 105044161A CN 201510383229 A CN201510383229 A CN 201510383229A CN 105044161 A CN105044161 A CN 105044161A
Authority
CN
China
Prior art keywords
furazolidone
sensor
needle
sample
discriminating
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Granted
Application number
CN201510383229.2A
Other languages
Chinese (zh)
Other versions
CN105044161B (en
Inventor
苏秀榕
王祖忠
周君
李晔
张春丹
张迪骏
李太武
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Ningbo University
Original Assignee
Ningbo University
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Ningbo University filed Critical Ningbo University
Priority to CN201510383229.2A priority Critical patent/CN105044161B/en
Publication of CN105044161A publication Critical patent/CN105044161A/en
Application granted granted Critical
Publication of CN105044161B publication Critical patent/CN105044161B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Landscapes

  • Investigating Or Analysing Biological Materials (AREA)

Abstract

The invention discloses a method for discriminating furacilin and furazolidone in Tegillarca granosa by using an electron nose. The method comprises the following steps: heating Tegillarca granosa soft tissues in a sample introduction bottle at 60DEG C to volatilize furacilin and furazolidone, setting appropriate array parameters of the sensor of an electron nose with the model of PEN3, obtaining the electric conductivity ratio of the sensor in the automatic mode identification system of the electron nose, and judging the Tegillarca granosa soft tissues contain furazolidone if the electric conductivity ratio parameter of a sensor No.2 is greater than 2.0; and judging the Tegillarca granosa soft tissues contain furacilin if the electric conductivity ratio parameter of a sensor No.2 is 0.68-0.71. The method for discriminating furacilin and furazolidone in Tegillarca granosa by using the electron nose has the advantages of simple detection, no extraction, no atlas analysis comparison, obvious discriminating result, good discriminating effect and short discriminating time.

Description

Electronic Nose is utilized to differentiate the method for nitrofurazone and furazolidone in mud blood clam
Technical field
The present invention relates to the discriminating of nitrofurazone and furazolidone, be specifically related to utilize Electronic Nose to differentiate the method for nitrofurazone and furazolidone in mud blood clam.
Background technology
Nitrofurazone (f μ gracilin) is a kind of antimicrobial of Prof. Du Yucang, can treat Animal diseases.Furazolidone (furazolidone, former name claims: furazolidone) is a kind of Nitrofuran antibiotics, and furazolidone is broad spectrum antibiotic, has inhibiting effect to common Gram-negative bacteria and positive bacteria.Nitrofurazone, furazolidone are all conventional furfuran compound, belong to persistence organic pollutant (PersistentOrganicPollutants, be called for short POPs), there is the very long half life period, and gather by food web, can be long-term retain in environment, to the existence that the threat of health all can be long-term.The detection of current furfuran compound in environment or biological sample generally first adopts: the chemical methodes such as supercritical fluid extraction (SFE), microwave radiation exaraction (MAE), accelerated solvent extraction (ASE), solid-phase microextraction (SPME) are extracted, then use the detections such as GC-MS(gas chromatography-mass spectrography) (GC-MS), Liquid Chromatography-Mass Spectrometry (LC-MS) or ELISA method; Extract and detect and separately carry out, detection of complex, differentiate that the time is long.Electronic Nose is made up of sensor array (No. 1-10) and automatic mode recognition system, can identify and detect volatile ingredient.It does not need to be separated volatile matter, can carry out express-analysis, have objective, evaluate smell accurately and quickly, and reproducible feature.Electronic Nose not only can carry out simple compare of analysis to the odiferous information of different sample, and can, by gathering standard specimen information building database and template, utilize statistical analysis technique to carry out qualitative and quantitative analysis to unknown sample.
Summary of the invention
Technical matters to be solved by this invention be to provide a kind of detect simple, the discriminating time is few, differentiate significantly to utilize Electronic Nose to differentiate the method for nitrofurazone and furazolidone in mud blood clam.
The present invention solves the problems of the technologies described above adopted technical scheme: utilize Electronic Nose to differentiate the method for nitrofurazone and furazolidone in mud blood clam, its step is as follows:
A, get after 1g mud blood clam soft tissue shreds, load in 15ml sample injection bottle, sample surfaces is 3/5 ~ 5/6 bottle height apart from bottleneck distance, and the soft lid of bottleneck seals, and at 60 DEG C of temperature, oscillation sample bottle 30min, cools 15min under room temperature;
B, open the sensor of model PEN3 Electronic Nose, preheating 30min, the sample introduction needle of sensor is inserted in the soft lid of sample injection bottle, the syringe needle of sample introduction needle and bottleneck distance are 1/3 bottle height, again the air inlet needle of sensor is inserted in the soft lid of sample injection bottle, the syringe needle of air inlet needle and bottleneck distance are greater than syringe needle and the bottleneck distance 1mm of sample introduction needle, then the array parameter setting this sensor detects: head space generation time 600s, hunting speed 500r/min, the total acquisition time 100s of signal, signal frequency 1.0s, lag time 600s, carrier gas is dried and clean air, air inflow is 300mL/min, flow rate of carrier gas 150mL/min, air inlet needle syringe needle is conducive to smell lower than sample introduction needle syringe needle and is gathered by sample introduction needle,
C, the automatic mode recognition system opening model PEN3 Electronic Nose are differentiated, if the Conductivity Ratio value parameter of No. 2 sensors is greater than 2.0, then mud blood clam soft tissue contains furazolidone, if the Conductivity Ratio value parameter of No. 2 sensors is 0.68 ~ 0.71, the Conductivity Ratio value parameter of No. 8 sensors is less than 0.9, then mud blood clam soft tissue contains nitrofurazone.
Compared with prior art, the invention has the advantages that the method utilizing Electronic Nose to differentiate nitrofurazone and furazolidone in mud blood clam, heated at 60 DEG C of temperature in sample injection bottle by mud blood clam soft tissue, nitrofurazone and furazolidone volatilization, use the array parameter that the sensor settings of the Electronic Nose of model PEN3 is suitable again, then the electrical conductivity ratio of sensor is obtained in the automatic mode recognition system of Electronic Nose, if the Conductivity Ratio value parameter of No. 2 sensors is greater than 2.0, then mud blood clam soft tissue contains furazolidone; If the Conductivity Ratio value parameter of No. 2 sensors is 0.68 ~ 0.71, then mud blood clam soft tissue contains nitrofurazone; Differentiate nitrofurazone and furazolidone in mud blood clam by Electronic Nose like this, detection method is simple, and do not need to extract, also know analyses and comparison well without figure, have identification result obvious, identification result is good, differentiates the advantage that the time is few.
Embodiment
Below in conjunction with embodiment, the present invention is described in further detail.
Embodiment 1
Electronic Nose is utilized to differentiate the method for nitrofurazone and furazolidone in mud blood clam, take off the shell that mud blood clam is hard, 1g is got after the part of softness being shredded, load in 15ml sample injection bottle, the mud blood clam parallel experiment of 5 Different sources (2, Qidong, Jiangsu plant, 3, Fenghua, Zhejiang plant), the soft lid sealing of bottleneck, screws bottle cap, simultaneously a blank sample injection bottle test.By each sample injection bottle all heating and thermal insulation 30min in 60 DEG C of waters bath with thermostatic control, 15min is cooled under room temperature, after making in bottle headspace gas balance, model PEN3 Electronic Nose (German Mecklenburg Airsense company) is utilized to detect, open the sensor (1-10 array) of the Electronic Nose of model PEN3, preheating 30min, the sample introduction needle of sensor is inserted in the soft lid of sample injection bottle, the syringe needle of sample introduction needle and bottleneck distance are 1/3 bottle height, again the air inlet needle of sensor is inserted in the soft lid of sample injection bottle, the syringe needle of air inlet needle and bottleneck distance are greater than the syringe needle of sample introduction needle and bottleneck distance 1mm(air inlet needle syringe needle and are conducive to smell lower than sample introduction needle syringe needle and are gathered by sample introduction needle), then the array parameter setting this sensor detects: head space generation time 600s, hunting speed 500r/min, the total acquisition time 100s of signal, signal frequency 1.0s, lag time 600s, carrier gas is dried and clean air, air inflow is 300mL/min, flow rate of carrier gas 150mL/min, the automatic mode recognition system opening the Electronic Nose of model PEN3 is differentiated, the Conductivity Ratio value parameter of No. 2 sensors of the mud blood clam of 2 plants in Qidong, Jiangsu is 0.68 ~ 0.71, the Conductivity Ratio value parameter 0.81 ~ 0.85 and 0.76 ~ 0.79 of No. 8 sensors, illustrates that mud blood clam soft tissue contains nitrofurazone, the Conductivity Ratio value parameter of No. 2 sensors of the mud blood clam of 3 plants in Fenghua, Zhejiang is respectively 2.21 ~ 2.25,2.87 ~ 2.93 and 3.01 ~ 3.05, illustrates that mud blood clam soft tissue contains furazolidone.
Embodiment 2
Preparing standard solution: furazolidone group: concentration 0.1 μ g/L, 1 μ g/L, 10 μ g/L, nitrofurazone group: concentration 0.1 μ g/L, 1 μ g/L, 10 μ g/L, blank group, then get 1mL and load 15ml sample injection bottle, sample injection bottle is heating and thermal insulation 30min in 60 DEG C of waters bath with thermostatic control, 15min is cooled under room temperature, open the sensor (1-10 array) of the Electronic Nose of model PEN3, preheating 30min, the sample introduction needle of sensor is inserted in the soft lid of sample injection bottle, the syringe needle of sample introduction needle and bottleneck distance are 1/3 bottle height, again the air inlet needle of sensor is inserted in the soft lid of sample injection bottle, the syringe needle of air inlet needle and bottleneck distance are greater than syringe needle and the bottleneck distance 1mm of sample introduction needle, then the array parameter setting this sensor detects: head space generation time 600s, hunting speed 500r/min, the total acquisition time 100s of signal, signal frequency 1.0s, lag time 600s, carrier gas is dried and clean air, air inflow is 300mL/min, flow rate of carrier gas 150mL/min, the automatic mode recognition system opening the Electronic Nose of model PEN3 is differentiated, the Conductivity Ratio value parameter of blank group No. 2 sensors is 1.0 ~ 1.3.The Conductivity Ratio value parameter of furazolidone group No. 2 sensors is: concentration 0.1 μ g/L, ratio parameter 3.01 ~ 4.12, concentration 1.0 μ g/L, ratio parameter 2.93 ~ 3.01, concentration 10. μ g/L, aspect ratio 2.72 ~ 2.87.The Conductivity Ratio value parameter of nitrofurazone group No. 2 sensors is all the Conductivity Ratio value parameter of 0.68 ~ 0.71, No. 8 sensors: concentration 0.1 μ g/L, ratio parameter 0.81 ~ 0.85, concentration 1.0 μ g/L, ratio parameter 0.79 ~ 0.81, concentration 10. μ g/L, ratio parameter 0.76 ~ 0.79.As can be seen from embodiment 1,2, furazolidone and nitrofurazone are distinguished obviously, and can scope quantitatively detect, and detect simple, fast.

Claims (1)

1. utilize Electronic Nose to differentiate the method for nitrofurazone and furazolidone in mud blood clam, it is characterized in that step is as follows:
A, get after 1g mud blood clam soft tissue shreds, load in 15ml sample injection bottle, sample surfaces is 3/5 ~ 5/6 bottle height apart from bottleneck distance, and the soft lid of bottleneck seals, and at 60 DEG C of temperature, oscillation sample bottle 30min, cools 15min under room temperature;
B, open the sensor of the Electronic Nose of model PEN3, preheating 30min, the sample introduction needle of sensor is inserted in the soft lid of sample injection bottle, the syringe needle of sample introduction needle and bottleneck distance are 1/3 bottle height, again the air inlet needle of sensor is inserted in the soft lid of sample injection bottle, the syringe needle of air inlet needle and bottleneck distance are greater than syringe needle and the bottleneck distance 1mm of sample introduction needle, then the array parameter setting this sensor detects: head space generation time 600s, hunting speed 500r/min, the total acquisition time 100s of signal, signal frequency 1.0s, lag time 600s, carrier gas is dried and clean air, air inflow is 300mL/min, flow rate of carrier gas 150mL/min,
C, the automatic mode recognition system opening model PEN3 Electronic Nose are differentiated, if the Conductivity Ratio value parameter of No. 2 sensors is greater than 2.0, then mud blood clam soft tissue contains furazolidone, if the Conductivity Ratio value parameter of No. 2 sensors is 0.68 ~ 0.71, the Conductivity Ratio value parameter of No. 8 sensors is less than 0.9, then mud blood clam soft tissue contains nitrofurazone.
CN201510383229.2A 2015-07-03 2015-07-03 Differentiate the method for nitrofurazone and furazolidone in mud blood clam using electronic nose Active CN105044161B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201510383229.2A CN105044161B (en) 2015-07-03 2015-07-03 Differentiate the method for nitrofurazone and furazolidone in mud blood clam using electronic nose

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201510383229.2A CN105044161B (en) 2015-07-03 2015-07-03 Differentiate the method for nitrofurazone and furazolidone in mud blood clam using electronic nose

Publications (2)

Publication Number Publication Date
CN105044161A true CN105044161A (en) 2015-11-11
CN105044161B CN105044161B (en) 2017-10-31

Family

ID=54450872

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201510383229.2A Active CN105044161B (en) 2015-07-03 2015-07-03 Differentiate the method for nitrofurazone and furazolidone in mud blood clam using electronic nose

Country Status (1)

Country Link
CN (1) CN105044161B (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060008918A1 (en) * 2002-07-18 2006-01-12 Probert Christopher S J Detection of disease by analysis of emissions
CN101382531A (en) * 2008-10-08 2009-03-11 天津商业大学 Method for detecting fresh degree of shrimp by electronic nose
CN101493431A (en) * 2009-03-06 2009-07-29 天津商业大学 Method for detecting fresh degree of chicken meat by electronic nose
CN102590283A (en) * 2012-01-17 2012-07-18 浙江工商大学 Method for detecting freshness of grass carp by using electronic nose
CN102879381A (en) * 2012-10-29 2013-01-16 江南大学 Method for detecting antibacterial drugs of furazolidone and furacilin through surface-enhanced raman spectroscopy
CN104198529A (en) * 2014-08-07 2014-12-10 山东东阿阿胶股份有限公司 Method for distinguishing donkey-hide gelatin by utilizing electronic nose technology
CN102749361B (en) * 2012-07-02 2014-12-31 宁波大学 Rapid identification method for fish varieties in tuna food
CN104569189A (en) * 2014-12-23 2015-04-29 中国药科大学 Method for detecting urine sugar contained in mouse urine using electronic nose

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US20060008918A1 (en) * 2002-07-18 2006-01-12 Probert Christopher S J Detection of disease by analysis of emissions
CN101382531A (en) * 2008-10-08 2009-03-11 天津商业大学 Method for detecting fresh degree of shrimp by electronic nose
CN101493431A (en) * 2009-03-06 2009-07-29 天津商业大学 Method for detecting fresh degree of chicken meat by electronic nose
CN102590283A (en) * 2012-01-17 2012-07-18 浙江工商大学 Method for detecting freshness of grass carp by using electronic nose
CN102749361B (en) * 2012-07-02 2014-12-31 宁波大学 Rapid identification method for fish varieties in tuna food
CN102879381A (en) * 2012-10-29 2013-01-16 江南大学 Method for detecting antibacterial drugs of furazolidone and furacilin through surface-enhanced raman spectroscopy
CN104198529A (en) * 2014-08-07 2014-12-10 山东东阿阿胶股份有限公司 Method for distinguishing donkey-hide gelatin by utilizing electronic nose technology
CN104569189A (en) * 2014-12-23 2015-04-29 中国药科大学 Method for detecting urine sugar contained in mouse urine using electronic nose

Non-Patent Citations (7)

* Cited by examiner, † Cited by third party
Title
丁媛 等: "电子鼻在8种贝类气味差异研究中的应用", 《食品科学》 *
丁媛 等: "贝类气味指纹模型的建立", 《核农学报》 *
何红萍 等: "基于电子鼻和HS-SPME-GC-MS方法研究海水中七氯的快速检测技术", 《海洋与湖沼》 *
孙天利 等: "利用电子鼻技术预测冰温贮藏牛肉的新鲜度变化", 《分析与检测》 *
孙红梅 等: "鸡骨素及其酶解液的美拉德反应产物挥发性风味成分比较分析", 《分析测试学报》 *
海铮 等: "基于电子鼻山茶油芝麻油掺假的检测研究", 《中国粮油学报》 *
白新鹏 等: "《食品检验新技术》", 31 January 2010, 中国计量出版社 *

Also Published As

Publication number Publication date
CN105044161B (en) 2017-10-31

Similar Documents

Publication Publication Date Title
Zhou et al. Floral classification of honey using liquid chromatography–diode array detection–tandem mass spectrometry and chemometric analysis
CN105181784B (en) A kind of method of 40 kinds of violated antibiotic in rapid screening cosmetics
Xie et al. Chemical fingerprint and simultaneous determination of flavonoids in Flos Sophorae Immaturus by HPLC-DAD and HPLC-DAD-ESI-MS/MS combined with chemometrics analysis
CN111638303A (en) Distinguish metal ion Al3+And Zn2+Method (2)
Taiti et al. Class‐modeling approach to PTR‐TOFMS data: a peppers case study
CN105301089B (en) A kind of Strontium Isotopic Ratios measured in strawberry tree different parts sample and the method for identifying the red bayberry place of production
ITUD20130021A1 (en) PROCEDURE FOR THE IDENTIFICATION OF BACTERIAL CLASSES THROUGH GAS CHROMATOGRAPHY / MASS SPECTROMETRY IN BIOLOGICAL SAMPLES
Sinha et al. Rapid and non–destructive detection of Pectobacterium carotovorum causing soft rot in stored potatoes through volatile biomarkers sensing
CN103822964B (en) Chloromycetin in neutral desorb-electron spray extraction MALDI-MS direct-detection honey
CN102262139A (en) Method for finding and identifying lipid biomarkers of unicellular algae
CN105092750B (en) Method for judging quality of fresh tobacco leaf sample in tobacco metabonomics research and kit
CN104101662A (en) Metabonomics method for testing terpenoids in fresh tobacco leaves
CN103868876A (en) Method for detecting pathogenic vibrios by MALDI-TOF-MS (Matrix Assisted Laser Desorption Ionization-Time-Of-Flight-Mass Spectrometry)
CN103869015A (en) Method for quantitatively determining 14 types of trans-2-aldehydes and diolefine aldehydes compounds in white spirit
Yu et al. Identification of three kinds of citri reticulatae pericarpium based on deoxyribonucleic acid barcoding and high-performance liquid chromatography-diode array detection-electrospray ionization/mass spectrometry/mass spectrometry combined with chemometric analysis
CN106645518B (en) The measuring method of chloramphenicol residue in a kind of propolis virgin rubber
CN108845067B (en) Purging and trapping method for flavor components in tobacco and tobacco products
CN112114079B (en) Method for simultaneously detecting 9 chemical components in quisqualis indica
Kuppusami et al. Metabolite profiling of Clostridium difficile ribotypes using small molecular weight volatile organic compounds
CN106501347A (en) A kind of enterococcus mass spectral database, method for building up and purposes
Budić-Leto et al. Anthocyanin composition of the red wine Babić affected by maceration treatment
CN105044161A (en) Method for discriminating furacilin and furazolidone in Tegillarca granosa by using electron nose
Tianniam et al. Non‐targeted metabolite fingerprinting of oriental folk medicine Angelica acutiloba roots by ultra performance liquid chromatography time‐of‐flight mass spectrometry
CN107462656A (en) A kind of method of galanthamine content in quick detection amrallid
CN107271490B (en) The method that Antrodia camphorata liquid fermentation process quickly characterizes triterpenoid changes of contents

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
GR01 Patent grant
GR01 Patent grant