CN201555840U - Device for detecting safety of foods - Google Patents

Abstract

The utility model discloses a device for detecting safety of foods. The device includes a sampling manipulator, a biosensor array, a sensor system, a signal processing system, an intelligent analyzing system and a control system. The sampling manipulator adopts an operation platform for storing detection samples; the biosensor array is used for detecting the flavor of foods to be detected; the sensor system is used for checking environmental parameters outside the foods; the signal processing system is used for converting detection analogue signals of the biosensor array and the sensor system into digital signals through A/D (analogue-to-digital) conversion and shaping signals; the intelligent analyzing system is used for conducting signal identification process and quality analysis on shaped signals and obtaining quality detection data of foods, as well as comparing and analyzing with food standards and obtaining food quality results; and the control system is used for controlling the operation of each device. The device can detect safety of food in real time, utilize digital analysis and intelligent process, and conduct efficient and correct analysis and judge on quality safety of foods.

Description

A kind of food safety detection device

Technical field

The utility model belongs to the food safety detection field, and particularly a kind of employing biology sensor is as detection means, and implements the food safety detection device analyzed immediately according to site environment.

Background technology

Food security just more and more gets more and more people's extensive concerning at present, and the correlation technique of food security has been subjected to national great attention too.Detect food security at present and still mainly adopt traditional Methods Biochem Anal, this method complex operation, detection time is longer, and the experiment condition that needs is higher, often needs to carry out in special-purpose laboratory.

Domestic quality supervision and industrial and commercial administration department generally adopt conventional national standard method when poisonous and harmful substance detects in to food, need carry out in the laboratory of qualification is arranged, and detection time is longer, the testing under the not competent field condition.

See that with regard to present development trend it is rapidly and efficiently that the food safety detection method at first will embody on the one hand, because food all might be polluted in each links such as production, storage, transportation and sale, all needs to control safe mass.In addition, detection system will possess intellectuality simultaneously, and it will detect and show not only that this detects the quality and the parameter of sample, also wants to carry out the evaluation of oeverall quality in the batch sample.

Because science and technology development, measuring means and method are varied, and detecting instrument is more and more sensitiveer, and the detectability of detection method is also more and more lower.More domestic and international manufacturers, as the Ying Kexin wound in FOX (FOSS) company, Italian Melistone company, China Xiamen, the companies such as the prosperous Kechuang of peace in Shenzhen, designed safety detector, it directly will be applied to pick-up unit based on the detection method of chemistry, biology and enzyme inhibition technology.

The FOX of Denmark (FOSS) company is one of present maximum in the world food and agriculture field analytical plan provider, the food security instrument that the said firm produces adopts the method for enzyme inhibition and biological detection, can detect total number of bacteria in the milk as BacotsacnFC type detector, it adopts the Flow Cytometry principle, need not to cultivate and specimen preparation, directly DNA of bacteria is carried out dyeing counting, can detect the milk of adding preservative agent; Fososmatic5000 type detector adopts the flow cytometry method, and coloring agent is prepared in advance, and detection speed is fast, and operating personnel are not had harm, can detect the sample that adds antiseptic.

The direct mercury vapor analyzer of DMA-80 type of Italy Melistone company, mercury is residual in the employing single stage method test sample, can directly carry out solid, fluid sample mercury content mensuration automatically, and sample directly adopts thermal decomposition, has saved the Specimen eliminating process.

" brilliant core " food safety detection system of Beijing Bo Ao company exploitation adopts biochip technology, can detect the multiple residue of veterinary drug (sulfamido, streptomycin class, Enrofloxacin and chloromycetin) in the multiple sample simultaneously.Shenzhen is pacified prosperous precious scientific ﹠ technical corporation and has been developed SPR-88 type high speed vast capacity residual detector of farming and PR-3A type intelligence pesticide residue rapid detector, and detecting principle is the cruel enzyme inhibition rate method of second phthalein choline.

Beijing inspection and quarantine bureau and PiJi Biology Engineering Co., Ltd., Shenzhen City joint research and development success fluorescence PCR multicenter real-time quantitative detector, this instrument can be applied in fields such as food security, animal doctor's diagnosis, clinical medicine, life science, have characteristics such as detection speed is fast, highly sensitive, stable and reliable for performance, but processing and analysis to testing result also need other software and system's support, can not effectively analyze according to site environment, not have intelligentized detection.

Analyze by inquiry, existing detection means aspect, the main kit test method that uses, analysis and processing aspect to testing result, conventional detection is not supported the consideration to site environment, do not support real-time check and analysis to handle yet, testing result record back need be analyzed by manually or again implanting other analysis software.

The utility model content

At the shortcoming of prior art, the purpose of this utility model provides and a kind ofly detects tested food parameter in real time, and utilizes digital assay and Intelligent treatment technology, the food safety detection device that food quality safety is analyzed efficiently and accurately and judged.

For achieving the above object, the technical solution of the utility model is: a kind of food safety detection device, and it comprises sampling operation device, biosensor array, sensing system, signal processing system, intelligent analysis system and control system;

Described sampling operation device is the operating platform of storage test sample; Described biosensor array is used to detect the smell of food to be detected; Described sensing system is used to check the environmental parameter of food outside; Described signal processing system is used for the detection simulating signal of biosensor array and sensing system is converted to digital signal processing and carries out the shaping of signal through A/D; Described intelligent analysis system is used for that the signal after the shaping is carried out signal identification to be handled and quality analysis, obtaining the quality testing data of food, and analyzes comparison with food standard, draws the food quality result; Described control system is used to control the work of sampling operation device, sensor array, sensing system, signal processing system and intelligent analysis system.

Described control system is used to control the work of whole detection device, adopts embedded system to make up.Record that links to each other with control system and communication system are used to store detected result and with the PC of result transmission to far-end.USB and wireless dual mode are adopted in communication, the hand-held result that pick-up unit detected can be sent in the host desktop.Communication module directly designs on detector, can directly communicate by letter with desktop computer by software arrangements.The display system that links to each other with control system shows the result who detects with LCD.

Described sensor array comprises the gas sensor array of all gases in 26 induction food; Described sensing system comprises temperature sensor, humidity sensor and acidity sensor.

The system or the device that are applied in the above steps are controlled by control system.

The utility model compared with prior art has following advantage and beneficial effect:

At first, utilize advanced the embedded processing technology and the communication technology, detect tested food parameter in real time, and utilize digital assay and Intelligent treatment technology, food quality safety is analyzed efficiently and accurately and judged.

Secondly, adopt Intellectual Analysis Technology, measured, environmental variance and food security standard organically are unified in the intelligent analysis system,, improve and detect and accuracy and the efficient judged by intelligence and the method for expert system of optimizing.Can analyze single sample and batch sample, obtain the analysis and the evaluation of total quality.

The 3rd, adopt biosensor technology, greatly improve the extraction rate of sample data, avoided adopting the dedicated operations of reagent simultaneously, be applicable to common to uncomprehending family of biochemical analysis and personal user.

At last, this pick-up unit adopts the electron device technology to realize, has that volume is little, in light weight, speed fast, favorable reproducibility, is easy to carry, and is fit to field quick detection, it both had been adapted to special-purpose food safety detection unit, also can be used for family and the personal user safety detection demand to food.

Description of drawings

Fig. 1 is the utility model food safety detection method theory diagram;

Fig. 2 is a system layout schematic diagram in the utility model;

Fig. 3 is a biosensor array layout in the utility model.

Embodiment

Below in conjunction with accompanying drawing the utility model is described in detail.

As shown in Figure 1, a kind of food safety detection device, it comprises sampling operation device 1, biosensor array 2, sensing system, signal processing system 3, intelligent analysis system 4 and control system 5;

Described sampling operation device 1 is the operating platform of storage test sample;

Described biosensor array 2 is used to detect the smell of food to be detected;

Described sensing system is used to check the environmental parameter of food outside;

Described signal processing system 3 is used for the detection simulating signal of biosensor array 2 and sensing system is converted to digital signal processing and carries out the shaping of signal through A/D; Because the physical quantity of the sensor that is obtained is not of uniform size, also be unfavorable for relatively unified and analysis, detected physical quantity is adjusted to suitable data represent scope.Then physical quantity is transformed into the digital signal that is easy to digitized processing by modulus D/A, is beneficial to the intellectual analysis and the processing in a step.

Described intelligent analysis system 4 is used for that the signal after the shaping is carried out signal identification to be handled and quality analysis, obtaining the quality testing data of food, and analyzes comparison with food standard, draws the food quality result;

Described control system 5 is used to control the work of sampling operation device 1, sensor array 2, sensing system, signal processing system 3 and intelligent analysis system 4.

Biosensor array 2 is equivalent to a large amount of smell sensor cells in the biological olfactory system, and intelligent analysis system 4 and control system 5 are equivalent to biological brain, and remainder then is equivalent to the olfactory nerve signal transduction system.

As shown in Figure 3, described sensor array 2 comprises the gas sensor array of all gases in 26 induction food; Gas sensor is the XP-329F sensor array, obtains sampled data by the three-dimensional ground to target to be detected.Dominant mechanism be each sensor in array to different sensitivity all being arranged by gas in the food, for example, No. one gas can produce high response on certain sensor, then is low-response to other sensors; Equally, the sensor of No. two high responses of gas generation is then insensitive to a gas, and after all, the whole sensor array is different to the response pattern of gas with various, and this just difference just makes system discern gas according to the response pattern of sensor.

Described sensing system comprises temperature sensor, humidity sensor and acidity sensor, to provide environmental information to intelligent analysis system, as one of external factor of inferring food quality safety.

Described control system 5 utilizes high-performance embedded ARM2410 processor to realize the core control of whole detection device.Record that links to each other with control system 5 and communication system 6 are used to store detected result and with the PC of result transmission to far-end.USB and wireless dual mode are adopted in communication, the hand-held result that pick-up unit detected can be sent in the host desktop.Communication module directly designs on detector, can directly communicate by letter with desktop computer by software arrangements.The display system 7 usefulness LCD that link to each other with control system 5 show the result who detects.

In addition, as shown in Figure 2, also provide a kind of food safety detection method, it may further comprise the steps:

(1) utilizes sampling operation device 1 storage detected sample;

(2) detect the smell of food to be detected by biosensor array 2, and check the environmental parameter of food outside by sensing system;

(3) adopt signal processing system 3 that the detection simulating signal of biosensor array 2 and sensing system is converted to digital signal processing through A/D, and carry out the shaping of signal;

(4) utilize signal after 4 pairs of shapings of intelligent analysis system to carry out signal identification and handle and quality analysis, obtaining the quality testing data of food, and analyze comparison, draw the food quality result with food standard;

System that is applied in the above steps or device are controlled by control system 5.

In the step (4), described intelligent analysis system 4 utilizes multivariate data statistical analysis technique, neural net method and blur method with the concentration value of a plurality of conversion of signals for subjective appreciation desired value or constituent, and the intelligence that obtains tested smell The qualitative analysis is explained;

Can adopt data processing methods such as principal component analysis (PCA), multilinear fitting, template matches, cluster and artificial intelligence neural network.

Because the response of gas sensor and the relation between the tested gas volume mark generally are non-linear, existing system is used neural net method and partial least square method more.The artificial neural network ANN that grew up has in recent years obtained using widely owing to having very strong Nonlinear Processing ability and mode identificating ability.Neural network by learn automatically to grasp be hidden between sensor response and smell type and the intensity, be difficult to corresponding relation with clear and definite model mathematical notation.Many statistical techniques and ANN complement one another, so usually unite use with ANN, more comprehensively classify and cluster with the data that single technology obtains to obtain one group of ratio.This class statistics or chemometrics method comprise principal component analysis, part least square method, discrimination analysis method, discrimination factor analytic approach and clustering methodology etc.

Carry out analysis-by-synthesis with food quality safety standard, food parameter and by the food quality judged result that intellectual analysis obtains, derive automatically and analyze by native system, to obtain quality and the detected parameters and the result of the food of being surveyed.Because it is a lot of to the factor of food quality security implication, the utility model makes full use of the influence factor of food security, as food internal soundness, external environmental factor, sample size etc., adopt intelligent analysis method, utilize multivariate data statistical analysis technique, intelligence the multidimensional response signal to be converted to the concentration value of subjective appreciation desired value or constituent, obtain the intelligence explanation of measured result with expert system method, neural net method and blur method.At last the result of intellectual analysis and food standard are analyzed and compared, draw the food quality report.

The foregoing description is this programme preferred implementation; this programme can have more variation; this variation can not be thought the scope that departs from this programme; other any do not deviate from the change done under the substantial principle of the present utility model, substitutes or simplifies; all should be the substitute mode of equivalence, be included within desired protection of the utility model and the equivalency range.

Claims (6)

1. a food safety detection device is characterized in that comprising sampling operation device [1], biosensor array [2], sensing system, signal processing system [3], intelligent analysis system [4] and control system [5];

Described sampling operation device [1] is the operating platform of storage test sample;

Described biosensor array [2] is used to detect the smell of food to be detected;

Described sensing system is used to check the environmental parameter of food outside;

Described signal processing system [3] is used for the detection simulating signal of biosensor array [2] and sensing system is converted to digital signal processing and carries out the shaping of signal through A/D;

Described intelligent analysis system [4] is used for that the signal after the shaping is carried out signal identification to be handled and quality analysis, obtaining the quality testing data of food, and analyzes comparison with food standard, draws the food quality result;

Described control system [5] is used to control the work of sampling operation device [1], sensor array [2], sensing system, signal processing system [3] and intelligent analysis system [4].

2. food safety detection device according to claim 1 is characterized in that: also comprise the record and the communication system [6] that link to each other with control system [5], it is used to store detected food quality result, and with result transmission to the PC of far-end.

3. food safety detection device according to claim 2 is characterized in that: record is communicated by letter with PC with communication system [6] and is adopted USB and wireless dual mode.

4. food safety detection device according to claim 2 is characterized in that: also comprise the display system [7] that links to each other with control system [5], be used to show detected food quality result.

5. food safety detection device according to claim 4 is characterized in that: described sensor array [2] comprises the gas sensor array of all gases in 26 induction food; Described sensing system comprises temperature sensor, humidity sensor and acidity sensor.

6. food safety detection device according to claim 5 is characterized in that: this pick-up unit is a hand-held.