CN101339153A - Labelling foodstuff pathogenic bacteria growth checking method - Google Patents
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Abstract
The invention discloses a rapid detection method which has the characteristics of low selectivity, no specificity and interactive sensitivity. The method can be used for accurately, sensitively, simply, economically and rapidly tracing the growth of pathogenic bacteria of food and the integrated information of metabolism thereof. In the method, bacteria are inoculated; the bacteria can be used for inactivating culture solution after being cultured for different periods of time; an intelligent chemical analysis system of multi-frequency wide-breadth pulse is used for detecting the inactivated culture; response signals are collected and analyzed; other steps also comprised in the method. The method uses an intelligent multi-frequency pulse scanner based on multi-frequency wide-breadth pulse voltammetry, and combines a three-electrode system which comprises a working electrode array, so as to collect the integrated information of the growth of pathogenic bacteria of food in the way which has the characteristics of low selectivity, no specificity and interactive sensitivity; then the method of principal component analysis is used for processing the collected information so as to trace the growth and metabolism of the pathogenic bacteria of food in the simple, accurate and sensitive way.
Description
Technical field
The present invention relates to the significantly method of pulse intelligent chemical analysis system food-borne pathogens growing state in the monitoring liquid nutrient culture media of the rapid detection technical field of spike bacterial growth situation, particularly multifrequency.
Background technology
In recent years, the diseases such as food poisoning that cause of foodstuff pathogenic bacteria are subjected to society and show great attention to.Escherichia coli O 157: H7 (E.coli O157:H7), staphylococcus aureus (Staphylococcus Aureus), salmonella typhimurium (Salmonella typhimurium) etc. are considered to the maximum food-borne pathogens of several harm, they have not only caused enormous economic loss, and also serious threat is to human health and safety.Therefore, in processes such as food production, processing, storage and sale, labelling foodstuff pathogenic bacteria growth situation and rule thereof and toxic metabolite product produce the integrated information of rule, detect significant to safety in production and the health that instructs food.
At present, the detection method of all labelling foodstuff pathogenic bacteria growth situations and trend thereof, comprise traditional National Standard Method and other method for quick and new technology, all can only measure, can not react in the thalli growth process the consumption situation of nutrient matrix, the integrated information of metabolic alterations rule to thalline quantity or to the Changing Pattern of a certain composition such as ATP equal size.Therefore, it is particularly important to set up a kind of method for quick of accurate, sensitive, easy and economic labelling foodstuff pathogenic bacteria growth metabolism status integrated information.
The bacterial classification difference, self contained enzyme system difference, metabolic way and metabolic pathway are just inequality, and be also inequality to the product of the decomposition utilization of nutriment and generation.Even with a kind of thalline, and even the different growing stage of homophyletic even clone's thalline, in the environment of same qualification, utilize degree and metabolic product to matrix also are not quite similar, utilize multifrequency significantly the pulse sensor-based system can analyze integrated information with these variations of spike, and have the influence of the color sample of not being subjected to, turbidity, sample can be not treated, advantages such as it is lossless to detect front and back, and used instrument and equipment is simple relatively.
At present, the research of useful immunosensor, quartz crystal piezoelectric sensor other biological sensor monitors food microorganisms report, these methods all exist key technology problems not to be resolved, thereby have limited its development and application.Estimating the food quality security fast with highly sensitive electronic tongue is the forward position of studying for both at home and abroad, only is applied to detect fields such as heavy metal pollution in food and the agricultural product, residues of pesticides and authenticity of products identification at present.
Intelligent chemical analysis system (so-called electronic tongue) by the different chemical substance of sensor array (being equivalent to the tongue in the biosystem) impression, is gathered various signal message input computer.Computer has replaced the cerebral function in the biosystem, carries out analyzing and processing by software, distinguishes the global feature of identification heterogeneity material.
Number of patent application is that the patented claim of 200710068869.X discloses a kind of intelligent chemical analysis system that is used for fluid sample, comprise sensor array, signal excitation harvester and intellectual analysis unit, the signal excitation harvester is added to auxiliary electrode with predetermined excitation pulse sequence, the response signal of collecting work electrode generation simultaneously; The intellectual analysis unit comprises signal excitation harvester host computer and data intelligence analysis software, is used for response signal is handled and analyzed; The signal excitation harvester of this intelligent chemical analysis system is a multifrequency pulse excitation harvester, can produce the significantly pulse electromotive force of multi-frequency section; Its action step is as follows: by Single-chip Controlling DAC D/A switch module, add to auxiliary electrode behind the pumping signal input potentiostat 1.; 2. the electric current of working electrode generation is converted to voltage signal by the programmable current follower, enters inverting amplifier; 3. by the noise in the low-pass filtering removal signal, input ADC mould/number conversion module converts becomes digital quantity to feed back to single-chip microcomputer.
Because it is the signal excitation drainage pattern that this intelligent chemical analysis system adopts the multifrequency pulse voltammetry, response signal is strong compared to existing technology, noise signal to noise ratio height, and quantity of information is abundanter; Adopted simultaneously to be fit to that himself data structure characteristic uses, convenient, intelligentized intellectual analysis software have that response signal is strong, signal stabilization, noise signal to noise ratio height, characteristics such as quantity of information is abundant, resolution is high, easy operating.
Utilize this intelligent chemical analysis system to have non-selectivity, weak selectivity, (organic and inorganic to different component in the solution, ion and nonionic) have the height cross sensitivity characteristic, flora nutrient solution to different growing stage detects, in conjunction with appropriate mode recognizer and multivariable technique array data is handled, obtain nutrient solution sample qualitative, quantitative information, thereby can monitor the growing state of flora.
Summary of the invention
The object of the present invention is to provide a kind of accurate, sensitive, easy, efficient, the economic labelling foodstuff pathogenic bacteria growth and the detection method of metabolism integrated information, promptly a kind of with the multifrequency method of pulse intelligent chemical analysis system monitoring flora growth significantly.
Above-mentioned purpose of the present invention is achieved through the following technical solutions:
A kind of detection method of labelling foodstuff pathogenic bacteria growth is characterized in that may further comprise the steps:
A. with bacterial classification inoculation to be measured in 1% glucose broth, static cultivation 18 hours, the preparation seed liquor;
B. with seed liquor respectively equivalent transfer in the triangular flask that 50ml 1% glucose broth is housed, after cultivating 0h, 1h, 2h, 3h, 4h, 5h, 6h, 7h, 8h, 9h, 10h, 11h, 12h, 13h, 24h, 30h respectively, nutrient solution is carried out deactivation;
C. significantly select signal excitation harvester required voltage, pulsed frequency, interpulse period on the signal excitation harvester host computer of pulse intelligent chemical analysis system in multifrequency;
D. multifrequency significantly the sensor array of pulse intelligent chemical analysis system immerse in the nutrient solution, described sensor array with non-modified metal electrodes such as platinum electrode, gold electrode, palladium electrode, nickel electrode, tungsten electrode, titanium electrodes as working electrode, platinum electrode is as auxiliary electrode, and Ag/AgCl is as contrast electrode;
E. on working electrode, apply voltage, each working electrode in the sensor array is carried out the pulsatile once sequence;
F. gather current responsing signal, extract summit and flex point value variable as test sample, with multifrequency significantly the data intelligence analysis software of pulse intelligent chemical analysis system carry out analyzing and processing.
Further, food pathogenic of the present invention can be a staphylococcus aureus, and the described multifrequency significantly sensor array and the pulse excitation frequency band of pulse intelligent chemical analysis system is: the 10Hz frequency band of the 100Hz frequency band of Wu electrode, the 1Hz frequency band of Pt electrode, Ag electrode, the 10Hz frequency band of Ti electrode.
Food pathogenic of the present invention can also be Escherichia coli O 157: H7, and the described multifrequency significantly sensor array and the pulse excitation frequency band of pulse intelligent chemical analysis system is: the 100Hz frequency band of Au electrode, the 1Hz frequency band of Pt electrode.
Food pathogenic of the present invention can also be a bacillus subtilis, and the described multifrequency significantly sensor array and the pulse excitation frequency band of pulse intelligent chemical analysis system is: the 1Hz of Ba electrode, 10Hz, three frequency bands of 100Hz.
Further, the pulse height of each pulsed frequency section is all from 1.0V, change 0.2V then at every turn until-1.0V, between two different frequency bands, insert the 5s time interval.
The present invention adopt multifrequency significantly pulse as exciting sweep signal, detect the Whole Response signal of foodstuff pathogenic bacteria growth process, the multifrequency of forming three electrod-array systems with multiple different non-modified metal electrode is the pulse sensor-based system significantly, growth of the various bacterium of spike and metabolic rule.
The multifrequency that the present invention adopts is the pulse intelligent chemical analysis system significantly, the sensor electrode array can comprise that platinum electrode, gold electrode, palladium electrode, nickel electrode, tungsten electrode, titanium electrode are as working electrode, platinum electrode is as auxiliary electrode, Ag/AgCl is as contrast electrode, a plurality of standard three-electrode systems of composition.
The signal excitation harvester adopts significantly pulse voltammetry of multifrequency.Multifrequency significantly pulse excitation current potential is made up of 1Hz, 10Hz and three pulsed frequency sections of 100Hz, and being equivalent to pulse interval respectively is 1s, 0.1s, the significantly pulse voltammetry of 0.01s.The pulse height of the significantly pulse of each pulsed frequency section all adopts the identical pulse changes in amplitude, from 1.0V, change then at every turn 0.2V until-1.0V.Between two different frequency bands, insert the 5s time interval, can eliminate the sluggish interference of response between each frequency.
The intellectual analysis unit adopts statistical method relatively more commonly used in the multivariate statistical analysis, be principal component analytical method (principal component analysis, PCA) to multifrequency significantly the data of pulse sensor-based system collection handle, the summit of extraction current acquisition signal and flex point value are as the variable of test sample, by the shot chart that principal component analytical method obtains, different test sample is distinguished, discerned.At first, with the vectorial representative sample of row, vertically on behalf of variable, amount the data of different electrode different frequency sections are preserved into data form respectively, carries out principal component analysis (PCA).Then, the principal component scores figure of more different electrodes, comparing each electrode differentiation effect to sample under different frequency on the two and three dimensions plane, the electrode data that principal component scores figure is had complementation laterally superposes, reformulation is with the vectorial representative sample of row, vertically amount is represented the data array of variable, the final searching has principal component scores figure and the electrode data stacked system of preferably distinguishing effect, seek to distinguish optimal electrod-array array mode of this class sample and the optimal multifrequency pulse frequency band of electrode, finally determine that suitable 2-3 electrode and pulsed frequency section thereof are as the monitoring system of monitoring purpose bacteria growing situation.
The present invention adopt multifrequency significantly the pulse intelligent chemical analysis system flora nutrient solution of different growing stage is detected in real time, the response message of the multinomial overall target of complicated ingredient that constantly changes in the collection liquid nutrient culture media, carry out the relevant information analysis in conjunction with the principal component analytical method in the multivariate statistical analysis, select the sensor array and the frequency band that are suitable for monitoring bacterium, particularly staphylococcus aureus, Escherichia coli O 157: H7 and bacillus subtilis growing state, strengthened precision of analysis greatly.The sensor array and the frequency band that are suitable for monitoring the staphylococcus aureus growth situation are: the 10Hz frequency band of the 100Hz frequency band of Wu electrode, the 1Hz frequency band of Pt electrode, Ag electrode, the 10Hz frequency band of Ti electrode etc.Suitable sensor array and the frequency band of Escherichia coli O 157: H7 are: the 100Hz frequency band of Au electrode, the 1Hz frequency band of Pt electrode.The sensor array and the frequency band that are suitable for monitoring bacillus subtilis are: the 1Hz of Ba electrode, 10Hz, three frequency bands of 100Hz.
The present invention is to be the analysis of modernization detecting instrument of characteristics by a kind of solution overall quality characteristic synthetic information that can detect---based on the multifrequency of electrod-array pulse sensor-based system significantly, in conjunction with the principal component analytical method in the multivariate statistical analysis method, foodstuff pathogenic bacteria growth metabolism integrated information and Changing Pattern thereof are carried out spike detect and constitute.Have low selectivity, non-specific and mutual susceptibility, accurately, characteristics and advantage such as sensitive, economical and quick.
Description of drawings
Fig. 1 is the significantly principal component scores figure of pulse intelligent chemical analysis system detection staphylococcus aureus different times nutrient solution of multifrequency; Wherein, (a) the Wu electrode at the principal component scores figure of 100Hz frequency band; (b) the Pt electrode is at the principal component scores figure of 1Hz frequency band; (c) the Ag electrode must be schemed in the major component of 10Hz frequency band; (d) the Ti electrode is at the principal component scores figure of 10Hz frequency band.
Fig. 2 is a significantly pulse intelligent chemical analysis system detection Escherichia coli O 157 of multifrequency: the principal component scores figure of H7 different times nutrient solution; Wherein, (a) the Pt electrode at the principal component scores figure of 1Hz frequency band; (b) the Au electrode is at the principal component scores figure of 100Hz frequency band;
Fig. 3 is the significantly principal component scores figure of pulse intelligent chemical analysis system detection bacillus subtilis different times nutrient solution of multifrequency; Wherein, (a) the Ba electrode at the principal component scores figure of 1Hz frequency band; (b) the Ba electrode is at the principal component scores figure of 10Hz frequency band; (c) the Ba electrode is at the principal component scores figure of 100Hz frequency band.
Embodiment
Embodiment 1: the staphylococcus aureus growth situation analysis
In 1% glucose broth, static cultivation 18～24h prepares seed liquor with the staphylococcus aureus bacterial classification inoculation.
With seed liquor respectively equivalent transfer in the triangular flask that 50ml 1% glucose broth is housed, after cultivating 0h, 1h, 2h, 3h, 4h, 5h, 6h, 7h, 8h, 9h, 10h, 11h, 12h, 13h, 24h, 30h respectively under 37 ℃, to 100 ℃ of nutrient solutions, 40min water-bath deactivation.
With multifrequency significantly the nutrient solution of pulse intelligent chemical analysis system after to deactivation detect.It is working electrode that sensor array is selected Wu electrode, Pt electrode, Ag electrode, Ti electrode for use, and platinum electrode is as auxiliary electrode, and Ag/AgCl is as contrast electrode.
Multifrequency significantly pulse excitation current potential is made up of 1Hz, 10Hz and three pulsed frequency sections of 100Hz, and being equivalent to pulse interval respectively is 1s, 0.1s, the significantly pulse voltammetry of 0.01s.The pulse height of the significantly pulse of each pulsed frequency section all adopts the identical pulse changes in amplitude, from 1.0V, change then at every turn 0.2V until-1.0V.Between two different frequency bands, insert the 5s time interval, can eliminate the sluggish interference of response between each frequency.
The sensor array of intelligent chemical analysis system put into cultivate behind 0h, 1h, 2h, 3h, 4h, 5h, 6h, 7h, 8h, 9h, 10h, 11h, 12h, 13h, 24h, the 30h and the nutrient solution of deactivation, on working electrode, apply voltage, each working electrode in the sensor array is carried out the pulsatile once sequence.Follow-on test three times, data are averaged, behind the intact fluid to be measured of every detection, to electrod-array polishing, distilled water flushing; Contrast electrode cleans with distilled water, blots with filter paper then.
With principal component analytical method (principal component analysis, PCA) to multifrequency significantly the data of pulse sensor-based system collection handle, the summit of extraction current acquisition signal and flex point value are as the variable of test sample, by the shot chart that principal component analytical method obtains, different test sample is distinguished, discerned.At first, with the vectorial representative sample of row, vertically on behalf of variable, amount the data of different electrode different frequency sections are preserved into data form respectively, carries out principal component analysis (PCA).Then, the principal component scores figure of more different electrodes, comparing each electrode differentiation effect to sample under different frequency on the two and three dimensions plane, the electrode data that principal component scores figure is had complementation laterally superposes, reformulation is with the vectorial representative sample of row, vertically amount is represented the data array of variable, the final searching has principal component scores figure and the electrode data stacked system of preferably distinguishing effect, seek and distinguish optimal electrod-array array mode of this class sample and the optimal multifrequency pulse frequency band of electrode, finally determine Wu electrode 100Hz frequency band, Pt electrode 1Hz frequency band, Ag electrode 10Hz frequency band, Ti electrode 10Hz frequency band is as the monitoring system of monitoring staphylococcus aureus growth situation.
As shown in Figure 1, (a) the Wu electrode at the principal component scores figure of 100Hz frequency band; (b) the Pt electrode is at the principal component scores figure of 1Hz frequency band; (c) the Ag electrode must be schemed in the major component of 10Hz frequency band; (d) the Ti electrode is at the principal component scores figure of 10Hz frequency band.
From Fig. 1 (a), the Wu electrode mainly is a growth tendency that embodies on composition two at the 100Hz frequency band as can be seen.(d) the 10Hz frequency band that shows the Ti electrode in has obvious growth trend on composition two; (b) and (c), show that the 1Hz frequency band of Pt electrode and the 10Hz frequency band of Ag electrode have significant growth tendency on composition one.Sample during 0h rigidly connects kind not to be cultivated with regard to deactivation, and the sample of it and other growth period has bigger dispersion, and this growth metabolism that has shown staphylococcus aureus has produced very big influence to nutrient culture media; About from 1h to 8h, the dispersion of sample is also very big, and this mainly is because staphylococcus aureus has progressed into logarithmic phase after cultivating 2h, and growth metabolism is vigorous especially to be caused; Staphylococcus aureus growth has entered stationary phase behind the 9h, and growth and decline kept in balance are so the dispersion of the sample of back when the 30h is less.In these principal component scores figure, be easy to see the growth of staphylococcus aureus.Record the result with traditional nephelometry and compare, fit like a glove, be both at 8h-9h and progress into stationary phase, and growth and metabolism before can showing are very vigorous.Therefore multifrequency significantly the staphylococcus aureus growth situation of pulse sensor-based system in the monitoring liquid nutrient culture media be feasible.
Embodiment 2: Escherichia coli O 157: the H7 growing state is analyzed
With Escherichia coli O 157: the H7 bacterial classification inoculation in 1% glucose broth, static cultivation 18～24h, preparation seed liquor.
With seed liquor respectively equivalent transfer in the triangular flask that the 50ml1% glucose broth is housed, cultivate 0h, 1h, 2h, 3h, 4h, 5h, 6h, 7h, 8h, 9h, 10h, 11h, 12h, 13h, 24h, 30h respectively after, nutrient solution is carried out deactivation.
With multifrequency significantly the nutrient solution of pulse intelligent chemical analysis system after to deactivation detect.It is working electrode that sensor array is selected Pt electrode, Au electrode for use, and platinum electrode is as auxiliary electrode, and Ag/AgCl is as contrast electrode.
Pulse voltage, pulsed frequency, interpulse period, detection method and signal analysis method are identical with specific embodiment 1.
Final definite Pt electrode 1Hz frequency band, Au electrode 100Hz frequency band are as monitoring Escherichia coli O 157: the monitoring system of H7 upgrowth situation.
As shown in Figure 2, multifrequency significantly the pulse intelligent chemical analysis system detect Escherichia coli O 157: the principal component scores figure of H7 different times nutrient solution; Wherein, (a) the Pt electrode at the principal component scores figure of 1Hz frequency band; (b) the Au electrode is at the principal component scores figure of 100Hz frequency band.
The principal component scores figure of the 100Hz frequency band of the 1Hz frequency band of Pt electrode, Au electrode is more similar in Fig. 2.All be that the dispersion on principal component scores figure is bigger in preceding 6h, and a flex point arranged, and their dispersion is less behind the 7h at 6h and 7h.This illustrated Escherichia coli O 157: H7 to be grown in the first five hour big especially to the influence of cultivating, that is to say Escherichia coli O 157: H7 to be grown in this stage active especially; And its growth progresses into stationary phase behind the 7h.The growth that can recognize Escherichia coli O 157: H7 from shot chart has generally reached the peak about cultivation 6h-7h, the thalline breeding in the nutrient culture media is the fastest, and metabolism is the most vigorous.
Embodiment 3: the bacillus subtilis growing state is analyzed
Bacillus subtilis strain is inoculated in 1% glucose broth static cultivation 18～24h, preparation seed liquor.
With seed liquor respectively equivalent transfer in the triangular flask that 50ml 1% glucose broth is housed, cultivate 0h, 1h, 2h, 3h, 4h, 5h, 6h, 7h, 8h, 9h, 10h, 11h, 12h, 13h, 24h, 30h respectively after, nutrient solution is carried out deactivation.
With multifrequency significantly the nutrient solution of pulse intelligent chemical analysis system after to deactivation detect.It is working electrode that sensor array is selected the Ba electrode for use, and platinum electrode is as auxiliary electrode, and Ag/AgCl is as contrast electrode.
Pulse voltage, pulsed frequency, interpulse period, detection method and signal analysis method are identical with specific embodiment 1.
Final definite Ba electrode 1Hz frequency band, 10Hz frequency band, 100Hz frequency band are as the monitoring system of monitoring the bacillus subtilis upgrowth situation.
As shown in Figure 3, multifrequency significantly the pulse intelligent chemical analysis system detect the principal component scores figure of the different cultivation period nutrient solutions of bacillus subtilis; Wherein, (a) and (b), (c) are respectively the principal component scores figure of Ba electrode on 1Hz frequency band, 10Hz frequency band, 100Hz frequency band.
As can be seen from Figure 3, because the sample during 0h is without cultivation, so the dispersion of it and other samples is relatively large.The 10Hz frequency band of Ba electrode and the principal component scores figure of 100Hz show that bacillus subtilis is cultivated and enter the growth logarithmic phase about 4h in 1% glucose broth.In three principal component scores figure, the sample variation degree before the 11h is all bigger as can be seen for we, and promptly the growth of bacillus subtilis is active to the influence of nutrient culture media in this time period.And the dispersion of the sample of the time period of back is less relatively, illustrates that bacillus subtilis has progressed into stationary phase.
Significantly pulse sensing of the multifrequency intelligent chemical analysis system that the present invention adopts with routine significantly pulse be extended to three kinds of frequencies, and with the principal component analytical method is data processing means, the result and standard method (nephelometry) basically identical that are obtained in the growth tendency of monitoring food-borne pathogens.And and other method relatively, and it has, and simple in structure, stable performance, quantity of information are abundant, easily intellectuality, long service life, exclusive characteristics such as with low cost, fast and convenient.From multifrequency staphylococcus aureus, the Escherichia coli O 157 in the pulse sensor-based system monitoring liquid nutrient culture media significantly: the result of study of H7 and bacillus subtilis growing state shows that multifrequency significantly pulse sensor-based system is having very big application prospect aspect monitoring, analysis, differentiation and the fast detecting food-borne pathogenic microorganism.
Certainly, those of ordinary skill in the art will be appreciated that, above embodiment is used for illustrating the present invention, and be not as limitation of the invention, as long as in essential scope of the present invention, all will drop in the scope of claims of the present invention variation, the modification of the above embodiment.
Claims (5)
1. the detection method of a labelling foodstuff pathogenic bacteria growth is characterized in that may further comprise the steps:
A. with bacterial classification inoculation to be measured in 1% glucose broth, static cultivation 18 hours, the preparation seed liquor;
B. with seed liquor respectively equivalent transfer in the triangular flask that 50ml 1% glucose broth is housed, after cultivating 0h, 1h, 2h, 3h, 4h, 5h, 6h, 7h, 8h, 9h, 10h, 11h, 12h, 13h, 24h, 30h respectively, nutrient solution is carried out deactivation;
C. significantly select signal excitation harvester required voltage, pulsed frequency, interpulse period on the signal excitation harvester host computer of pulse intelligent chemical analysis system in multifrequency;
D. multifrequency significantly the sensor array of pulse intelligent chemical analysis system immerse in the nutrient solution, described sensor array with non-modified metal electrodes such as platinum electrode, gold electrode, palladium electrode, nickel electrode, tungsten electrode, titanium electrodes as working electrode, platinum electrode is as auxiliary electrode, and Ag/AgCl is as contrast electrode;
E. on working electrode, apply voltage, each working electrode in the sensor array is carried out the pulsatile once sequence;
F. gather current responsing signal, extract summit and flex point value variable as test sample, with multifrequency significantly the data intelligence analysis software of pulse intelligent chemical analysis system carry out analyzing and processing.
2. the detection method of labelling foodstuff pathogenic bacteria growth as claimed in claim 1, it is characterized in that described food pathogenic is a staphylococcus aureus, the described multifrequency significantly sensor array and the pulse excitation frequency band of pulse intelligent chemical analysis system is: the 10Hz frequency band of the 100Hz frequency band of Wu electrode, the 1Hz frequency band of Pt electrode, Ag electrode, the 10Hz frequency band of Ti electrode.
3. the detection method of labelling foodstuff pathogenic bacteria growth as claimed in claim 1, it is characterized in that described food pathogenic is Escherichia coli O 157: H7, the described multifrequency significantly sensor array and the pulse excitation frequency band of pulse intelligent chemical analysis system is: the 100Hz frequency band of Au electrode, the 1Hz frequency band of Pt electrode.
4, the detection method of labelling foodstuff pathogenic bacteria growth as claimed in claim 1, it is characterized in that described food pathogenic is a bacillus subtilis, the described multifrequency significantly sensor array and the pulse excitation frequency band of pulse intelligent chemical analysis system is: the 1Hz of Ba electrode, 10Hz, three frequency bands of 100Hz.
5. as the detection method of claim 1 or 2 or 3 or 4 described labelling foodstuff pathogenic bacteria growths, the pulse height that it is characterized in that each pulsed frequency section is all from 1.0V, change 0.2V then at every turn until-1.0V, between two different frequency bands, insert the 5s time interval.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105334405A (en) * | 2014-07-07 | 2016-02-17 | 北京大学深圳研究生院 | Electrical characteristic detector for liquid drink |
| WO2019179433A1 (en) * | 2018-03-19 | 2019-09-26 | 中国水产科学研究院黄海水产研究所 | Automatic drug sensitivity test apparatus of gram-negative bacteria and application method |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1999013325A1 (en) * | 1997-09-07 | 1999-03-18 | Nordic Sensor Technologies Ab | Electronic tongue |
| EP0992768A2 (en) * | 1998-10-09 | 2000-04-12 | Ngk Insulators, Ltd. | Mass sensor and mass sensing method |
| WO2003046554A1 (en) * | 2001-11-29 | 2003-06-05 | Otre Ab | Analysis of urea in a liquid by the use of an electronic tongue |
| CN1782068A (en) * | 2005-07-27 | 2006-06-07 | 乐能生物工程股份有限公司 | Bacillus subtilis, method for preparing bacillus subtilis and its using method |
| CN1898393A (en) * | 2004-08-02 | 2007-01-17 | 大金工业株式会社 | Bacterium counting method, bacterium counter, and cell used for the counter |
| US20070037225A1 (en) * | 2003-07-12 | 2007-02-15 | Accelr8 Technology Corporation | Rapid microbial detection and antimicrobial susceptibility testing |
| CN101071117A (en) * | 2007-03-23 | 2007-11-14 | 浙江大学 | Electrochemical electronic tongue based on wide-bard pulse voltammetry |
| CN101095949A (en) * | 2006-06-26 | 2008-01-02 | 河南农业大学 | Shigellae oil-emulsion inactivated vaccine and the developing method thereof |
-
2008
- 2008-07-28 CN CN 200810063192 patent/CN101339153B/en not_active Expired - Fee Related
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO1999013325A1 (en) * | 1997-09-07 | 1999-03-18 | Nordic Sensor Technologies Ab | Electronic tongue |
| EP0992768A2 (en) * | 1998-10-09 | 2000-04-12 | Ngk Insulators, Ltd. | Mass sensor and mass sensing method |
| WO2003046554A1 (en) * | 2001-11-29 | 2003-06-05 | Otre Ab | Analysis of urea in a liquid by the use of an electronic tongue |
| US20070037225A1 (en) * | 2003-07-12 | 2007-02-15 | Accelr8 Technology Corporation | Rapid microbial detection and antimicrobial susceptibility testing |
| CN1898393A (en) * | 2004-08-02 | 2007-01-17 | 大金工业株式会社 | Bacterium counting method, bacterium counter, and cell used for the counter |
| CN1782068A (en) * | 2005-07-27 | 2006-06-07 | 乐能生物工程股份有限公司 | Bacillus subtilis, method for preparing bacillus subtilis and its using method |
| CN101095949A (en) * | 2006-06-26 | 2008-01-02 | 河南农业大学 | Shigellae oil-emulsion inactivated vaccine and the developing method thereof |
| CN101071117A (en) * | 2007-03-23 | 2007-11-14 | 浙江大学 | Electrochemical electronic tongue based on wide-bard pulse voltammetry |
Non-Patent Citations (5)
| Title |
|---|
| SHI-YI TIAN,ET AL.: "Multifrequency large amplitude pulse voltammetry: A novel electrochemical method for electronic tongue", 《SENSORS AND ACTUATORS B》 * |
| 田师一: "多频脉冲电子舌系统构建及应用", 《浙江工商大学硕士学位论文》 * |
| 赵广英 等: "多频大幅脉冲传感系统监测3种食源性致病菌的生长趋势", 《微生物学报》 * |
| 赵广英 等: "多频脉冲电子舌鉴别食源性致病菌", 《中国食品学报》 * |
| 黄建锋: "智舌快速检测食源性致病细菌的研究", 《浙江工商大学硕士学位论文》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105334405A (en) * | 2014-07-07 | 2016-02-17 | 北京大学深圳研究生院 | Electrical characteristic detector for liquid drink |
| CN105334405B (en) * | 2014-07-07 | 2019-04-09 | 北京大学深圳研究生院 | A kind of electrical characteristic detector of liquid beverage |
| WO2019179433A1 (en) * | 2018-03-19 | 2019-09-26 | 中国水产科学研究院黄海水产研究所 | Automatic drug sensitivity test apparatus of gram-negative bacteria and application method |
| US11518973B2 (en) | 2018-03-19 | 2022-12-06 | Yellow Sea Fisheries Research Institute Chinese Academy Of Fishery Sciences | Device and method for automated antibiotic susceptibility testing of gram-negative bacteria |
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