CN103412102A - Detection device and detection method for freshness of chicken breast - Google Patents
Detection device and detection method for freshness of chicken breast Download PDFInfo
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Abstract
The invention discloses a detection device and detection method for freshness of chicken breast. The detection method comprises the following steps: three kinds of carrier gas are selected to detect volatile gas produced by the chicken breast of the just killed chicken, and when the value R of one of the three kinds of the carrier gas is less than 0.9, the concentration of the volatile gas is the most appropriate, so that the accuracy of detection can be ensured; a chicken breast freshness prediction model is selected. A computer is adopted to calculate the storage time value t of the chicken breast by utilizing the chicken breast freshness predication model; the non-conformity or conformity judgment of freshness of the chicken breast sample is made. The detection method has the characteristics of accurate, objective and fast detection, excellent economical efficiency, and capability of supplying reliable data support to manufacturing food by using the chicken breast with the qualified freshness.
Description
Technical field
The present invention relates to the identifying meat freshness technical field, especially relate to and a kind ofly can detect accurately and rapidly whether corrupt chicken-breasted freshness detection device and detection method of chicken-breasted.
Background technology
Chicken-breasted is one of Major Foods of taking in of people, and the chicken-breasted delicious flavour also has the high and low characteristics of fat content of protein content, deeply welcomed by the people.
But in storage, processing and transportation, due to self effect with external environment, microorganism etc., chicken-breasted can be putrid and deteriorated, produces bad flavor, causes quality to descend.
If eating stale chicken-breasted, people can cause food poisoning, slight vomiting, diarrhoea or even dead.
People judge by the quality of sense organ to food usually, and this judgement is usually with very strong subjectivity, and the evaluation analysis result tends to the difference along with age, experience, has larger difference.Even if same person also can be because health, emotional change draw Different Results.Moreover sense of smell differentiates it is a volatile substance suction process, and long-term experiment can work the mischief to the health of human body, and some bad smell can make the personnel of judging responsive especially and make result wrong; In addition, in the sensory evaluation process, often needing has the composition of personnel of the experience of judging to judge group in a large number, and process is comparatively loaded down with trivial details, and evaluation result does not often have repeatability.
And chicken-breasted is a kind of raw-food material, at present, there is no effective method the freshness of chicken-breasted is detected.
Chinese patent Granted publication number: CN101769889A, July 7 2010 Granted publication day, the electric nasus system that a kind of quality of agricultural product detects is disclosed, comprise that one mainly completes the gas enrichment module that the low concentration smell is collected, one mainly is converted into olfactory signal air chamber gas path module and the sensor array of electric signal, one mainly carries out filtering to the sensor array output signal, analog to digital conversion, the Conditioning Circuits of Sensor of feature extraction and data preprocessing module, a pair of signal is identified and is judged, and the embedded system with the data storage, one shows and output module as a result, described gas enrichment module consists of the adsorption tube that is filled with adsorbent, heating wire and attemperating unit.There is function singleness in this invention, the deficiency that detection time is long.
Summary of the invention
The present invention judges in order to overcome food of the prior art that length consuming time, the cost of method is high, the deficiency of apparatus expensive, provides a kind of and can detect accurately and rapidly whether corrupt chicken-breasted Noninvasive Measuring Method of Freshness of chicken-breasted.
To achieve these goals, the present invention is by the following technical solutions:
A kind of chicken-breasted freshness detection device, comprise gas extractor and survey device of air; Described gas extractor comprise gas collecting chamber, sample cavity, be located at the upper communicating pipe between gas collecting chamber and sample cavity top and be located at the gas collecting chamber and the sample cavity bottom between lower communicating tube; The gas collecting chamber is provided with draft tube, and draft tube is provided with the first solenoid valve, is provided with the second solenoid valve and the first air pump upper communicating pipe; In described sample cavity, be provided with sample tray, the xsect of sample tray is rounded, and sample tray is provided with several equally distributed air holes, and the gas outlet of lower communicating tube is positioned at the below of sample tray;
Described survey device of air comprises sampling probe, cleans probe, analog to digital converter and sensor array; On sampling probe and cleaning probe, be equipped with the second air pump, sensor array is electrically connected to analog to digital converter;
Sensor array comprises several gas sensors, and each gas sensor lays respectively at independently in air chamber; On the first solenoid valve, the second solenoid valve, the first air pump, the second air pump and analog to digital converter, be equipped with the data-interface for being electrically connected to computing machine.
Gas extractor has the effect of the escaping gas enrichment that sample to be detected is sent, the prolongation of cycling time can increase the concentration of the escaping gas that sample sends, and cycling time is longer, and gas concentration is just larger, can strengthen the detection signal of sensor, thereby guarantee the accuracy detected.
As preferably, described sample tray is bowl-shape, and the sample tray bottom is connected with sample cavity by rotating shaft, and sample tray outer peripheral face middle part is provided with several blades that rotate along rotating shaft be used to driving sample tray, and the angle of rotating shaft and surface level is acute angle.
As preferably, the angle between described rotating shaft and surface level is that 46 degree are to 52 degree.
As preferably, described sensor array comprises 8 gas sensors, be respectively the first sensor for detection of sulfide, for detection of the second sensor of hydrogen, for detection of the 3rd sensor of ammonia, for detection of the four-sensor of alcohol, toluene, dimethylbenzene, the 5th sensor for detection of hydrocarbon component gas, for detection of six sensor of methane for detection of methane, for detection of the 7th sensor of propane, butane, for detection of the 8th sensor of oxides of nitrogen.
A kind of detection method of chicken-breasted freshness detection device, comprise the steps:
(5-1) according to CNS GB/T 5009.44-2003, detect the total volatile basic nitrogen TVB-N value of the chicken-breasted sample of different storage times, obtain the chicken-breasted freshness threshold value N under different storage conditions, chicken-breasted freshness threshold value N is stored in computing machine; In computing machine, setting storage number of days limit value is m, sets storage number of days t=0;
(5-2) using successively the air of air, activated carbon filtration and nitrogen as carrier gas, detect:
(5-2-1) computing machine is opened the first and second solenoid valves, and carrier gas passes in the gas collecting chamber 20 to 30 minutes by draft tube;
The chicken-breasted that (5-2-2) will just slaughter is put into the sample standing groove, first, second closed electromagnetic valve of computer control, and start the air pump on communicating pipe; The escaping gas that air pump drives the chicken-breasted generation circulated 20 to 30 minutes in upper and lower communicating pipe, gas collecting chamber and sample cavity;
(5-2-3) the air pump work on probe is cleaned in computer control, cleans probe pure air is sucked in each air chamber, and each sensor is cleaned;
(5-2-4) computing machine is opened the first solenoid valve, sampling probe inserts in the gas collecting chamber by draft tube, air pump work on the computer control sampling probe, sampling probe sucks the escaping gas that chicken-breasted produces in each air chamber, escaping gas contacts with the sensor in being located at air chamber, and each sensor produces respectively analog response signal; Computing machine is averaged each analog response signal, obtains the response signal of sensor array;
(5-3) to usining the air of air, activated carbon filtration and the response signal of the sensor array that nitrogen obtains as carrier gas respectively, be handled as follows successively:
(5-3-1) Analog to Digital Converter is converted to digital response signal I (t) by response signal, and I (t) is stored in computing machine;
In computing machine, be provided with in advance the coherence resonance system model
By in I (t) input coherence resonance system model, make the coherence resonance system model produce resonance, obtain V (t);
Wherein, V
TBe the discharge threshold constant, τ is the cell membrane time constant, and μ τ is resting potential, and ξ (t) is Gaussian noise; Work as V
R<V
TThe time, V
RIt is cell membrane resting potential after electric discharge;
(5-3-2) computing machine utilizes the coherence resonance coefficient formula:
Calculate R (t); Wherein, [V (t+y/2)] ' be the conjugate complex number of [V (t+y/2)], T
0For integration period, ε is frequency, and y is constant;
(5-3-3) computing machine draws the coherence resonance curve of R (t), the coherence resonance coefficient maximal value P in computer selecting noise intensity 10dB to 100dB scope
max, choose and P
maxCorresponding noise intensity, as coherence resonance coefficient characteristics value A, stores A in computing machine into;
(5-4) as t<m, make the t value increase by 1, and chicken-breasted is put into to cold storage plant refrigeration 24 hours, repeating step (5-2) is to (5-3);
Obtain m+1 the coherence resonance coefficient characteristics value A be associated with storage time, A and t storage time associated with it are formed to point (A, t), simulate detection model according to m+1 point (A, t), and digital simulation precision R;
(5-5) the fitting precision R when 3 kinds of carrier gas all is greater than 0.9, repeating step (5-2) gathers escaping gas, and after the escaping gas of 3 kinds of carrier gas is diluted in proportion, then escaping gas is passed in each air chamber, and repeating step (5-3) is to (5-4);
When the R of 3 kinds of carrier gas all be less than 0.9 or the R of 2 kind of carrier gas be less than 0.9, repeating step (5-2) gathers escaping gas, wherein, the escaping gas in step (5-2-2) increases by 8 to 15 minutes the cycling time in circulating in upper and lower communicating pipe, gas collecting chamber and sample cavity; And repeating step (5-3) is to (5-4);
In 3 kinds of carrier gas, only have a R value to be less than 0.9, the maximum detection model of computer selecting R value is as chicken-breasted freshness forecast model;
(5-6) choose chicken-breasted W to be detected, select the carrier gas same with R value maximal phase, repeating step (5-2), to (5-3), obtains the coherence resonance coefficient characteristics value A of chicken-breasted W
W
(5-7) computing machine utilizes chicken-breasted freshness forecast model to calculate the storage sky numerical value t of chicken-breasted W; Storage environment and N according to detected chicken-breasted; In computing machine, set freshness limit value N
1,
As t>=N
1, computing machine is made the underproof judgement of chicken-breasted sample freshness;
As t<N
1, computing machine is made the qualified judgement of chicken-breasted sample freshness.
At first the present invention chooses the escaping gas that 3 kinds of carrier gas detect the chicken-breasted generation of just having slaughtered, fitting precision according to the detection model of each carrier gas, concentration to escaping gas judges, in 3 kinds of carrier gas, only have a R value to be less than 0.9, the concentration of this escaping gas is most suitable, can guarantee the accuracy detected.And selected chicken-breasted freshness forecast model.
Then, the escaping gas that sensor array of the present invention produces chicken-breasted W to be detected produces reaction and generates response signal, response signal is converted to digital response signal I (t), by in I (t) input coherence resonance system model, make the coherence resonance system model produce accidental resonance, obtain V (t);
Computing machine draws the coherence resonance curve of R (t), the coherence resonance coefficient maximal value P in computer selecting noise intensity 10dB to 100dB scope
max, choose and P
maxCorresponding noise intensity is as coherence resonance coefficient characteristics value A
W
Computing machine utilizes chicken-breasted freshness forecast model to calculate the storage sky numerical value t of chicken-breasted W; Storage environment and N according to detected chicken-breasted; In computing machine, set freshness limit value N
1,
As t>=N
1, computing machine is made the underproof judgement of chicken-breasted W freshness;
As t<N
1, computing machine is made the qualified judgement of chicken-breasted W freshness.
Chicken-breasted Noninvasive Measuring Method of Freshness of the present invention is compared with manually judging method, and the speed of detection is faster, and the data of detection are more objective, accurate; Can detect the slight change of the escaping gas of chicken-breasted sample, thereby guarantee to detect reliably, accurately the chicken-breasted freshness, for the chicken-breasted production food that it is qualified that food production producer adopts freshness provides reliable Data support.
As preferably, in described step (5-2-3), clean probe pure air is sucked in air chamber, each sensor was cleaned 30 to 40 minutes.
As preferably, in described step (5-2-4), the escaping gas that sampling probe produces chicken-breasted sucks in each air chamber and detects 40 seconds to 80 seconds.
As preferably, in described step (5-2-3), pure air cleans sensor with the flow velocity of 820mL/min to 1300mL/min.
As preferably, in step (5-2-4), escaping gas is indoor with the speed inhaling air of 350mL/min to 550mL/min.
Therefore, the present invention has following beneficial effect: it is accurate, objective, quick that (1) is detected; (2) good economy performance; (3) qualified chicken-breasted making food provides the authentic data support in order to use freshness.
The accompanying drawing explanation
Fig. 1 is a kind of process flow diagram of detection method of the present invention;
Fig. 2 is the coherence resonance curve map of detected chicken-breasted W of the present invention;
Fig. 3 is of the present inventionly usingd the activated carbon filtration air as carrier gas linear fit regression curve;
Fig. 4 is of the present invention take the coherence resonance curve map of activated carbon filtration air as carrier gas;
Fig. 5 is a kind of structural representation of gas extractor of the present invention;
Fig. 6 a kind of theory diagram of the present invention;
Fig. 7 is total volatile basic nitrogen TVB-N assay figure of the present invention.
In figure: gas collecting chamber 1, sample cavity 2, upper communicating pipe 3, lower communicating tube 4, draft tube 5, the first solenoid valve 6, the second solenoid valve 7, the first air pump 8, sampling probe 9, cleaning probe 10, sensor array 11, the second air pump 12, computing machine 13, rotating shaft 14, blade 15, sample tray 16, analog to digital converter 17, air hole 18.
Embodiment
The present invention will be further described below in conjunction with the drawings and specific embodiments.
Embodiment as shown in Figure 5 is a kind of chicken-breasted freshness detection device, comprises gas extractor and surveys device of air; Gas extractor comprise gas collecting chamber 1, sample cavity 2, be located at the upper communicating pipe 3 between gas collecting chamber and sample cavity top and be located at the gas collecting chamber and the sample cavity bottom between lower communicating tube 4; The gas collecting chamber is provided with draft tube 5, and draft tube is provided with the first solenoid valve 6, is provided with the second solenoid valve 7 and air pump 8 upper communicating pipe; In sample cavity, be provided with sample tray, the xsect of sample tray is rounded, and sample tray is provided with equally distributed air hole 18, and the gas outlet of lower communicating tube is positioned at the below of sample tray 16;
It is bowl-shape that sample tray is, and the sample tray bottom is connected with sample cavity by rotating shaft 14, and sample tray outer peripheral face middle part is provided be used to driving the blade 15 of sample tray along the rotating shaft rotation, and the angle of rotating shaft and surface level is acute angle.Angle between rotating shaft and surface level is 50 degree.
As shown in Figure 6, surveying device of air comprises sampling probe 9, cleans probe 10, analog to digital converter 17 and sensor array 11; On sampling probe and cleaning probe, be equipped with the second air pump 12, sensor array is electrically connected to analog to digital converter;
Sensor array comprises 8 gas sensors, and each gas sensor lays respectively at independently in air chamber; The first solenoid valve, the second solenoid valve, the first air pump, the second air pump and analog to digital converter are electrically connected to computing machine 13 respectively.
8 gas sensors are respectively the first sensor for detection of sulfide, the second sensor for detection of hydrogen, the 3rd sensor for detection of ammonia, four-sensor for detection of alcohol, toluene, dimethylbenzene, the 5th sensor for detection of hydrocarbon component gas, for detection of six sensor of methane for detection of methane, for detection of the 7th sensor of propane, butane, for detection of the 8th sensor of oxides of nitrogen.
In the present embodiment, sample cavity is provided with gland bonnet, when needs, adds in sample cavity or while changing sample, opens gland bonnet and operate.
As shown in Figure 1, a kind of detection method of chicken-breasted freshness detection device, comprise the steps:
Step 100, according to CNS GB/T 5009.44-2003, detect the total volatile basic nitrogen TVB-N value of difference chicken-breasted sample storage time, obtain the chicken-breasted freshness threshold value N under different storage conditions, chicken-breasted freshness threshold value N is stored in computing machine; In computing machine, set storage number of days limit value m=5, set storage number of days t=0;
For example: the TVB-N testing result of the chicken-breasted sample that is stored in 4 ℃ of chicken-breasted samples under environment as shown in Figure 7.
The TVB-N value meets GB/T 5009.44-2003 requirement for the freshness of the following chicken-breasted sample of 15mg/100g, and corruption has appearred in the chicken-breasted sample that the TVB-N value surpasses 15mg/100g.The freshness of the chicken-breasted sample of the 1st day and the 2nd day meets the demands.
According to the analytical approach of GB/T5009.44-2003 meat and meat products hygienic standard, the chicken-breasted sample of storing more than 2 days under 4 ℃ of conditions is stale.Therefore, the chicken-breasted freshness threshold value N=2 under 4 ℃ of storage conditions.
N is relevant with the storage environment of chicken-breasted sample for chicken-breasted freshness threshold value, and the temperature of storage environment is higher, and N is less for chicken-breasted freshness threshold value.For example: the freshness threshold value N=1 of the chicken-breasted sample of storing under room temperature environment.
Step 200, using the air of air, activated carbon filtration and nitrogen successively respectively as carrier gas, detects:
Step 201, computing machine is opened the first and second solenoid valves, and carrier gas passes in the gas collecting chamber 30 minutes by draft tube;
Step 202, put into the sample standing groove by the chicken-breasted of just having slaughtered, first, second closed electromagnetic valve of computer control, and start the air pump on communicating pipe; The escaping gas that air pump drives the chicken-breasted generation circulated 30 minutes in upper and lower communicating pipe, gas collecting chamber and sample cavity;
Step 203, the air pump work on probe is cleaned in computer control, cleans probe pure air is sucked in each air chamber, and each sensor is cleaned;
Step 204, computing machine is opened the first solenoid valve, sampling probe inserts in the gas collecting chamber by draft tube, air pump work on the computer control sampling probe, sampling probe sucks the escaping gas that chicken-breasted produces in each air chamber, escaping gas contacts with the sensor in being located at air chamber, and each sensor produces respectively analog response signal; Computing machine is averaged each analog response signal, obtains the response signal of sensor array;
Step 300 is handled as follows successively to usining the air of air, activated carbon filtration and the response signal of the sensor array that nitrogen obtains as carrier gas respectively:
Step 301, Analog to Digital Converter is converted to digital response signal I (t) by response signal, and I (t) is stored in computing machine;
In computing machine, be provided with in advance the coherence resonance system model
By in I (t) input coherence resonance system model, make the coherence resonance system model produce resonance, obtain V (t);
Wherein, V
TBe the discharge threshold constant, τ is the cell membrane time constant, and μ τ is resting potential, and ξ (t) is Gaussian noise; Work as V
R<V
TThe time, V
RIt is cell membrane resting potential after electric discharge;
Step 302, computing machine are utilized the coherence resonance coefficient formula:
Calculate R (t); Wherein, [V (t+y/2)] ' be the conjugate complex number of [V (t+y/2)], T
0For integration period, ε is frequency, and y is constant;
Step 303, computing machine draw the coherence resonance curve of R (t), the coherence resonance coefficient maximal value P in computer selecting noise intensity 10dB to 100dB scope
max, choose and P
maxCorresponding noise intensity, as coherence resonance coefficient characteristics value A, stores A in computing machine into;
Obtain 6 coherence resonance coefficient characteristics value A that are associated with storage time, A and t storage time associated with it are formed to point (A, t).
In the present embodiment, the activated carbon filtration air of take that computing machine draws as shown in Figure 4 is R (t) the coherence resonance curve of carrier gas, obtains the coherence resonance coefficient characteristics value A of 6 from the 0th day to the 5th day, is respectively A
0=-76.5, A
1=-77.0, A
2=-77.1, A
3=-77.3, A
4=-76.85, A
5=-78.05.
According to 6 points (76.5,0), (77.0,1), (77.1,2), (77.3,3), (76.85,4), (78.05,5) draw linear fit regression curve as shown in Figure 3; And obtain detection model
Calculating fitting precision R is 0.9982;
In like manner, obtain take air as the detection model of carrier gas as
Calculating fitting precision R is 0.8821;
Step 500, only have a R value to be less than 0.9 in 3 kinds of carrier gas in the present embodiment, and computer selecting R value is maximum
As chicken-breasted freshness forecast model;
In the present embodiment, computing machine draws the coherence resonance curve of R (t) as described in Figure 2, the coherence resonance coefficient maximal value R in computer selecting noise intensity 10dB to 100dB scope
max, choose and R
maxCorresponding noise intensity is as coherence resonance coefficient characteristics value A
W=-76.52dB;
The storage environment of chicken-breasted W in the present embodiment is 4 ℃, therefore, in computing machine, sets freshness limit value N
1=2; In the present embodiment,
As t>=N
1, computing machine is made the underproof judgement of chicken-breasted W freshness;
As t<N
1, computing machine is made the qualified judgement of chicken-breasted W freshness.
In the present embodiment, t<N
1, computing machine is made the qualified judgement of chicken-breasted W freshness.
Should be understood that the present embodiment only is not used in and limits the scope of the invention be used to the present invention is described.Should be understood that in addition those skilled in the art can make various changes or modifications the present invention after the content of having read the present invention's instruction, these equivalent form of values fall within the application's appended claims limited range equally.
Claims (9)
1. a chicken-breasted freshness detection device, is characterized in that, comprises gas extractor and survey device of air; Described gas extractor comprise gas collecting chamber (1), sample cavity (2), be located at the upper communicating pipe (3) between gas collecting chamber and sample cavity top and be located at the gas collecting chamber and the sample cavity bottom between lower communicating tube (4); The gas collecting chamber is provided with draft tube (5), and draft tube is provided with the first solenoid valve (6), is provided with the second solenoid valve (7) and the first air pump (8) upper communicating pipe; In described sample cavity, be provided with sample tray, the xsect of sample tray is rounded, and sample tray is provided with several equally distributed air holes (18), and the gas outlet of lower communicating tube is positioned at the below of sample tray (16);
Described survey device of air comprises sampling probe (9), cleans probe (10), analog to digital converter (17) and sensor array (11); On sampling probe and cleaning probe, be equipped with the second air pump (12), sensor array is electrically connected to analog to digital converter;
Sensor array comprises several gas sensors, and each gas sensor lays respectively at independently in air chamber; On the first solenoid valve, the second solenoid valve, the first air pump, the second air pump and analog to digital converter, be equipped with the data-interface for being electrically connected to computing machine (13).
2. chicken-breasted freshness detection device according to claim 1, it is characterized in that, described sample tray is bowl-shape, the sample tray bottom is connected with sample cavity by rotating shaft (14), sample tray outer peripheral face middle part is provided be used to driving sample tray several blades (15) along the rotating shaft rotation, and the angle of rotating shaft and surface level is acute angle.
3. chicken-breasted freshness detection device according to claim 2, is characterized in that, the angle between described rotating shaft and surface level is that 46 degree are to 52 degree.
4. according to claim 1 or 2 or 3 described chicken-breasted freshness detection devices, it is characterized in that, described sensor array comprises 8 gas sensors, be respectively the first sensor for detection of sulfide, the second sensor for detection of hydrogen, the 3rd sensor for detection of ammonia, four-sensor for detection of alcohol, toluene, dimethylbenzene, the 5th sensor for detection of hydrocarbon component gas, the 6th sensor for detection of methane, for detection of the 7th sensor of propane, butane, for detection of the 8th sensor of oxides of nitrogen.
5. the detection method of a chicken-breasted freshness detection device as claimed in claim 1, is characterized in that, comprises the steps:
(5-1) according to CNS GB/T 5009.44-2003, detect the total volatile basic nitrogen TVB-N value of the chicken-breasted sample of different storage times, obtain the chicken-breasted freshness threshold value N under different storage conditions, chicken-breasted freshness threshold value N is stored in computing machine; In computing machine, setting storage number of days limit value is m, sets storage number of days t=0;
(5-2) using successively the air of air, activated carbon filtration and nitrogen as carrier gas, detect:
(5-2-1) computing machine is opened the first and second solenoid valves, and carrier gas passes in the gas collecting chamber 20 to 30 minutes by draft tube;
The chicken-breasted that (5-2-2) will just slaughter is put into the sample standing groove, first, second closed electromagnetic valve of computer control, and start the air pump on communicating pipe; The escaping gas that air pump drives the chicken-breasted generation circulated 20 to 30 minutes in upper and lower communicating pipe, gas collecting chamber and sample cavity;
(5-2-3) the air pump work on probe is cleaned in computer control, cleans probe pure air is sucked in each air chamber, and each sensor is cleaned;
(5-2-4) computing machine is opened the first solenoid valve, sampling probe inserts in the gas collecting chamber by draft tube, air pump work on the computer control sampling probe, sampling probe sucks the escaping gas that chicken-breasted produces in each air chamber, escaping gas contacts with the sensor in being located at air chamber, and each sensor produces respectively analog response signal; Computing machine is averaged each analog response signal, obtains the response signal of sensor array;
(5-3) to usining the air of air, activated carbon filtration and the response signal of the sensor array that nitrogen obtains as carrier gas respectively, be handled as follows successively:
(5-3-1) Analog to Digital Converter is converted to digital response signal I (t) by response signal, and I (t) is stored in computing machine;
In computing machine, be provided with in advance the coherence resonance system model
By in I (t) input coherence resonance system model, make the coherence resonance system model produce resonance, obtain V (t);
Wherein, V
TBe the discharge threshold constant, τ is the cell membrane time constant, and μ τ is resting potential, and ξ (t) is Gaussian noise; Work as V
R<V
TThe time, V
RIt is cell membrane resting potential after electric discharge;
(5-3-2) computing machine utilizes the coherence resonance coefficient formula:
Calculate R(t); Wherein, [V (t+y/2)] ' be the conjugate complex number of [V (t+y/2)], T
0For integration period, ε is frequency, and y is constant;
(5-3-3) computing machine draws the coherence resonance curve of R (t), the coherence resonance coefficient maximal value P in computer selecting noise intensity 10dB to 100dB scope
max, choose and P
maxCorresponding noise intensity, as coherence resonance coefficient characteristics value A, stores A in computing machine into;
(5-4) as t<m, make the t value increase by 1, and chicken-breasted is put into to cold storage plant refrigeration 24 hours, repeating step (5-2) is to (5-3);
Obtain m+1 the coherence resonance coefficient characteristics value A be associated with storage time, A and t storage time associated with it are formed to point (A, t), simulate detection model according to m+1 point (A, t), and digital simulation precision R;
(5-5) the fitting precision R when 3 kinds of carrier gas all is greater than 0.9, repeating step (5-2) gathers escaping gas, and after the escaping gas of 3 kinds of carrier gas is diluted in proportion, then escaping gas is passed in each air chamber, and repeating step (5-3) is to (5-4);
When the R of 3 kinds of carrier gas all be less than 0.9 or the R of 2 kind of carrier gas be less than 0.9, repeating step (5-2) gathers escaping gas, wherein, the escaping gas in step (5-2-2) increases by 8 to 15 minutes the cycling time in circulating in upper and lower communicating pipe, gas collecting chamber and sample cavity; And repeating step (5-3) is to (5-4);
In 3 kinds of carrier gas, only have a R value to be less than 0.9, the maximum detection model of computer selecting R value is as chicken-breasted freshness forecast model;
(5-6) choose chicken-breasted W to be detected, select the carrier gas same with R value maximal phase, repeating step (5-2), to (5-3), obtains the coherence resonance coefficient characteristics value A of chicken-breasted W
W
(5-7) computing machine utilizes chicken-breasted freshness forecast model to calculate the storage sky numerical value t of chicken-breasted W; Storage environment and N according to detected chicken-breasted; In computing machine, set freshness limit value N
1,
As t>=N
1, computing machine is made the underproof judgement of chicken-breasted W freshness;
As t<N
1, computing machine is made the qualified judgement of chicken-breasted W freshness.
6. chicken-breasted Noninvasive Measuring Method of Freshness according to claim 1, is characterized in that, in described step (5-2-3), cleans probe pure air is sucked in air chamber, and each sensor was cleaned 30 to 40 minutes.
7. chicken-breasted Noninvasive Measuring Method of Freshness according to claim 1, is characterized in that, in described step (5-2-4), the escaping gas that sampling probe produces chicken-breasted sucks in each air chamber and detects 40 seconds to 80 seconds.
8. chicken-breasted Noninvasive Measuring Method of Freshness according to claim 1, is characterized in that, in described step (5-2-3), pure air cleans sensor with the flow velocity of 820mL/min to 1300mL/min.
9. according to claim 5 or 6 or 7 or 8 described chicken-breasted Noninvasive Measuring Method of Freshness, it is characterized in that, in step (5-2-4), escaping gas is indoor with the speed inhaling air of 350mL/min to 550mL/min.
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Cited By (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104076069A (en) * | 2013-12-04 | 2014-10-01 | 浙江工商大学 | Pork storage time detection method |
CN104076070A (en) * | 2013-12-04 | 2014-10-01 | 浙江工商大学 | Hairtail fishy smell detection method |
CN104374718A (en) * | 2014-08-18 | 2015-02-25 | 浙江工商大学 | Spliced mutton rapid detection system and method |
CN104374706A (en) * | 2014-08-18 | 2015-02-25 | 浙江工商大学 | Mutton freshness detection device and detection method |
CN104374715B (en) * | 2014-08-18 | 2017-01-18 | 浙江工商大学 | Spliced mutton detection device and detection method |
CN108254513A (en) * | 2017-12-22 | 2018-07-06 | 北京农业信息技术研究中心 | A kind of judgment method and device of fish shelf life |
CN113504068A (en) * | 2021-06-03 | 2021-10-15 | 吉林省农业科学院 | Conical-insertion sampling needle tube device for meat quality production detection and implementation method thereof |
Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2811979Y (en) * | 2005-07-07 | 2006-08-30 | 同济大学 | Apparatus for collecting volatile gas of material |
CN101144780A (en) * | 2006-09-14 | 2008-03-19 | 郭培源 | Pork freshness intelligent detection device |
CN101382531A (en) * | 2008-10-08 | 2009-03-11 | 天津商业大学 | Method for detecting fresh degree of shrimp by electronic nose |
CN202305286U (en) * | 2011-10-19 | 2012-07-04 | 昆明理工大学 | Device for sampling ammonia gas volatilized from human and animal excrement |
CN102590288A (en) * | 2012-01-17 | 2012-07-18 | 浙江工商大学 | Food quality detection system and detection method based on electronic nose |
CN102621192A (en) * | 2012-03-17 | 2012-08-01 | 浙江工商大学 | Method for detecting freshness of mangos by aid of electronic nose |
CN102692488A (en) * | 2012-03-22 | 2012-09-26 | 浙江大学 | Jinhua ham grading and identifying method based on electronic nose technology |
CN102879436A (en) * | 2012-10-22 | 2013-01-16 | 浙江工商大学 | Method of using electronic nose for detecting freshness of river crucian carp |
CN103063813A (en) * | 2012-12-26 | 2013-04-24 | 江苏大学 | Rapid nondestructive on-line detection method and apparatus for freshness of fishes |
-
2013
- 2013-08-01 CN CN201310332947.8A patent/CN103412102B/en not_active Expired - Fee Related
Patent Citations (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN2811979Y (en) * | 2005-07-07 | 2006-08-30 | 同济大学 | Apparatus for collecting volatile gas of material |
CN101144780A (en) * | 2006-09-14 | 2008-03-19 | 郭培源 | Pork freshness intelligent detection device |
CN101382531A (en) * | 2008-10-08 | 2009-03-11 | 天津商业大学 | Method for detecting fresh degree of shrimp by electronic nose |
CN202305286U (en) * | 2011-10-19 | 2012-07-04 | 昆明理工大学 | Device for sampling ammonia gas volatilized from human and animal excrement |
CN102590288A (en) * | 2012-01-17 | 2012-07-18 | 浙江工商大学 | Food quality detection system and detection method based on electronic nose |
CN102621192A (en) * | 2012-03-17 | 2012-08-01 | 浙江工商大学 | Method for detecting freshness of mangos by aid of electronic nose |
CN102692488A (en) * | 2012-03-22 | 2012-09-26 | 浙江大学 | Jinhua ham grading and identifying method based on electronic nose technology |
CN102879436A (en) * | 2012-10-22 | 2013-01-16 | 浙江工商大学 | Method of using electronic nose for detecting freshness of river crucian carp |
CN103063813A (en) * | 2012-12-26 | 2013-04-24 | 江苏大学 | Rapid nondestructive on-line detection method and apparatus for freshness of fishes |
Non-Patent Citations (3)
Title |
---|
惠国华等: "Study of peach freshness predictive method based on electronic nose", 《FOOD CONTROL》 * |
童春霞等: "基于仿生嗅觉系统的苹果储存时间预测模型研究", 《中国食品学报》 * |
郑海霞等: "基于电子鼻的牛奶品质预测方法研究", 《中国食品学报》 * |
Cited By (9)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN104076069A (en) * | 2013-12-04 | 2014-10-01 | 浙江工商大学 | Pork storage time detection method |
CN104076070A (en) * | 2013-12-04 | 2014-10-01 | 浙江工商大学 | Hairtail fishy smell detection method |
CN104374718A (en) * | 2014-08-18 | 2015-02-25 | 浙江工商大学 | Spliced mutton rapid detection system and method |
CN104374706A (en) * | 2014-08-18 | 2015-02-25 | 浙江工商大学 | Mutton freshness detection device and detection method |
CN104374715B (en) * | 2014-08-18 | 2017-01-18 | 浙江工商大学 | Spliced mutton detection device and detection method |
CN104374706B (en) * | 2014-08-18 | 2017-03-29 | 浙江工商大学 | Carnis caprae seu ovis freshness detection device and its detection method |
CN104374718B (en) * | 2014-08-18 | 2017-03-29 | 浙江工商大学 | The system and method that a kind of quick detection splices Carnis caprae seu ovis |
CN108254513A (en) * | 2017-12-22 | 2018-07-06 | 北京农业信息技术研究中心 | A kind of judgment method and device of fish shelf life |
CN113504068A (en) * | 2021-06-03 | 2021-10-15 | 吉林省农业科学院 | Conical-insertion sampling needle tube device for meat quality production detection and implementation method thereof |
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