CN105181912A - Method for detection of freshness during rice storage - Google Patents
Method for detection of freshness during rice storage Download PDFInfo
- Publication number
- CN105181912A CN105181912A CN201510370444.9A CN201510370444A CN105181912A CN 105181912 A CN105181912 A CN 105181912A CN 201510370444 A CN201510370444 A CN 201510370444A CN 105181912 A CN105181912 A CN 105181912A
- Authority
- CN
- China
- Prior art keywords
- rice
- freshness
- gas
- quick material
- rice storage
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
Abstract
Belonging to the technical field of rice storage monitoring, the invention relates to a method for detection of freshness during rice storage. The method includes: firstly using a gas acquisition probe equipped with a heating device and a special filter screen to acquire the volatile gas in grain storage equipment, then employing a 3CCD camera to acquire the sensor array on a hydrophobic membrane and the R, G, B images of rice sample gas before and after reaction, processing the images by a computer, and finally introducing color signal values into a linear discriminant analysis model to calculate the freshness of the output rice sample. The method detects rice freshness through its volatile smell, and is a green, rapid and nondestructive method. Compared with the traditional chemical detection methods, the method provided by the invention is convenient and pollution-free, and has certain consistency with the sensory evaluation of human. Compared with artificial feel, the method has good objectivity and reproducibility. The method provided by the invention has important practical significance for meeting consumers' demands for food quality and safety and enterprises' demands for full use of raw materials and maximum benefits.
Description
Technical field
The present invention relates to the Noninvasive Measuring Method of Freshness in a kind of rice storage, belong to the monitoring technical field in rice storage.
Background technology
Rice is one of staple food of our people.After the paddy of paddy ridge, rice is owing to losing the protection of rice husk, and endosperm directly contacts with air and passes through; various change can be there is in the starch in rice, fat and protein etc.; make rice lose original color, nutritional labeling and edible quality decline, and even produce poisonous and harmful substance.In addition, the freshness of rice also can affect the quality of its addition product to some extent.The content increase of the glycosyl compound in the beer for example brewed with the rice of ageing, causes the aging etc. of beer.
The detection method of current China rice freshness has TBA pH-value determination pH method, acid base indicator method, enzymatic activity method etc.As utilized the fatty acid measured in rice to check the freshness of rice in GB/T15684-1995, but the method step is complicated, and accuracy is poor.Patent of invention " detector tube of quick test rice freshness " (201220263903.5) discloses a kind of detector tube of quick test rice freshness, but its result is by comparing with standard color card, and result precision is poor, and can not quantize.Paper " Measures compare of several detection rice freshness " describes the freshness that enzymatic activity method measures rice, but the method step is complicated, and accuracy is poor, can not detect the freshness of rice fast and accurately; Fresh instrument surveyed by the rice describing Japanese SATAKE company in paper " research of rice freshness Fast Detection Technique ", but its import equipment is expensive, and sample needs pre-service, complex steps, and precision is not high.
Therefore, find a kind of sign and detection method of easy, stable, quantifiable rice freshness, to monitoring with detect rice quality, meet consumer and maximizing the benefits is made full use of to food quality and safety aspect and enterprise's raw material have important realistic meaning.Color sensitive sensor technology is the new method that a kind of gas occurred in recent years characterizes, utilize the color difference before and after color sensitive sensor and gas reaction to be measured, qualitative and quantitative analysis is carried out to gas to be measured, in recent years, color sensitive sensor technology obtains related application at food and agricultural products detection field, as patent " a kind of method and device detecting fish freshness based on olfaction visualization " (application number: 201010262347.50) disclose the method and apparatus that a kind of olfaction visualization detects fish freshness, but this device is heavier, its image acquiring device is scanner, be difficult to the requirement meeting Real-Time Monitoring.Color sensitive sensor technology has the advantage of its uniqueness in the context of detection of agricultural product smell, but the freshness detection in rice storage have not been reported.
Summary of the invention
The object of the invention is to the deficiency overcoming Noninvasive Measuring Method of Freshness in existing rice storage, a kind of Noninvasive Measuring Method of Freshness of the rice storage based on novel color sensitive sensor technology is proposed, the situation of change of freshness in the whole rice storage of, Real-Time Monitoring automatic by wireless sensor array.
The technical solution that the present invention adopts is as follows:
The invention provides the freshness detection device in a kind of rice storage, comprise computing machine, information acquisition system, vacuum pump, heating module, with the gas collecting probe of speciality filter screen and rice storage equipment.
Wherein information acquisition system comprises 3CCD camera, LED light source, reaction chamber and sensor array, wherein said 3CCD camera is fixed on information acquisition system upper end, be connected with computing machine, 3CCD camera is used to obtain red (R), green (G) of the forward and backward sensor of reaction, the image of blue (B) three components; Its Computer is used to process in real time the escaping gas information in the rice storage collected, and information acquisition system is used to gather rice escaping gas information transmission and enters computing machine;
Described LED light source is fixed on the inner both sides of information acquisition system, for providing good light source to ensure to the collection of 3CCD camera camera, improving the quality gathering image, processing in real time so that the later stage is sent to computing machine;
Reaction chamber is provided with, arrangement sensor array in reaction chamber bottom described information acquisition system; Reaction chamber is the vessel that escaping gas in rice storage and corresponding color sensitive sensor carry out fully reacting, sensor array be first by micro-sampling formed 4 × 3 array;
Described vacuum pump is connected with the gas collecting probe with speciality filter screen, and gas collecting probe injection port is equipped with filter screen, and heating module is equipped with in lower end, and the escaping gas in the rice storage collected is pumped into reaction chamber by vacuum pump by gas collecting probe; Gas collecting probe with speciality filter screen is directly placed in rice storage equipment; Effect with the gas collecting probe of special filter screen is used to the impurity blocking device prevented in rice, and only extracts the rice escaping gas of storage.
Heating module is placed in rice storage equipment, can be the device being used for arbitrarily heating, and for detecting the heating of sample, promotes gaseous volatilization.
Another object of the present invention is to the detection method that freshness in a kind of rice storage is provided, comprise the steps:
(1) the feature escaping gas of different freshness rice is first determined by gas chromatography-mass spectrum (GC-MS), wherein eight (ethylene glycol) one (dodecyl) ether, benzaldehyde and hexanal content change in rice storage obviously that (after rice stores six months, content sharply reduces eight (ethylene glycol) one (dodecyl) ether; Benzaldehyde does not exist in fresh rice, and along with rice storage time increases, content increases gradually, and hexanal is in the storage of rice, and content first increases rear minimizing); Then screen the quick material of the look of these gas sensitizations: 3 kinds of porphyrinses and a kind of pH indicator; Wherein, 3 kinds of porphyrinses are protoporphyrin dimethyl ester, octaethylporphyrin, tetraphenyl benzo ternary porphyrin, porphyrins is dissolved in dichloromethane solvent respectively, concentration range is 1-2mg/mL, under this concentration, the color of porphyrin solution is moderate, is dispersed in dielectric substrate more uniformly, and easy and rice volatilization gas reacts; PH indicator Nile red, be dissolved in ethanol, concentration is 1-2mg/mL, and under this concentration, the color of porphyrin solution is moderate, is dispersed in dielectric substrate more uniformly, and easy and rice volatilization gas reacts.Print and dye by micro-sampling kapillary one by one on polyvinylidene fluoride (PVDF) film by 4 kinds of look quick materials, obtained 4 kinds of color sensitive sensors, these 4 kinds of color sensitive sensors form look quick material sensors array;
(2) 3CCD camera obtains the Initial R of reaction front sensor array, G, B image transmitting to computing machine, and computing machine carries out image procossing and obtains priming color information;
(3) collection of different phase rice escaping gas: gas collecting probe is placed in rice sample, opens heating module and vacuum pump, and the look quick material that the escaping gas extracted in rice storage enters reaction chamber and sensor array reacts; 3CCD camera obtains R, G, B image transmitting of the rear sensor array of reaction to computing machine, computing machine carries out image procossing, extracted (with look quick material center of gravity for round dot by the denoising of image gaussian filtering, Threshold segmentation, Morphological scale-space, characteristic area, 15 pixels are the circle of radius) etc. obtain the mean value of R, G, B gray scale of assorted quick material in image before and after reaction, obtain the eigenmatrix of different freshness rice escaping gas;
(4) utilize look quick material sensors array and sample escaping gas to react, extract relevant information, input built good freshness linear discriminant model, the detection to sample to be tested freshness can be realized; The wherein foundation of freshness linear discriminant model, concrete operations are that data are carried out principal component analysis (PCA), finally choose front 7 major components and build linear discriminant analysis model to differentiate the freshness of rice.
Beneficial effect of the present invention:
1. the present invention operates fast and convenient, is a kind of green, the rice Noninvasive Measuring Method of Freshness of quick nondestructive, and detecting a sample only needs a few minutes, can be used for the Quality Detection of aged rice, also can be used for ageing process monitoring in rice storage;
2. compare with biological detecting method with traditional chemical, the present invention is comparatively convenient, pollution-free, without the need to pre-service, due to the matrix be made up of multiple color sensitive sensor, there is certain consistance with the subjective appreciation of people, more can reflect and embody people to the evaluation of food and hobby;
3. evaluate compared with artificial sense, objectivity of the present invention and reappearance better, make the quality of rice to remember and to pass on, and are not subject to the interference of environmental factor and other subjective and objective factor.
Accompanying drawing explanation
Fig. 1 is the freshness detection system schematic diagram in food storage process.
Fig. 2 olfaction visualization software processing system schematic diagram.
In figure: 1, computing machine, 2,3CCD camera, 3, LED light source, 4, reaction chamber, 5, sensor array, 6, vacuum pump, 7, gas collecting probe, 8, filter screen, 9, heating module, 10, rice storage equipment.
Embodiment
Below in conjunction with specific embodiments and the drawings, technical scheme of the present invention is further set forth.
embodiment 1: the freshness detection device in a kind of rice storage
As shown in Figure 1, the freshness detection device in a kind of rice storage provided by the invention, comprise computing machine 1, information acquisition system, vacuum pump 6, heating module 9, with the gas collecting probe 7 of speciality filter screen 8 and rice storage equipment 10.
Wherein information acquisition system comprises 3CCD camera 2, LED light source 3, reaction chamber 4 and sensor array 5, wherein said 3CCD camera 2 is fixed on information acquisition system upper end, be connected with computing machine 1,3CCD camera 2 is used to obtain red (R), green (G) of the forward and backward sensor of reaction, the image of blue (B) three components; Its Computer 1 is used to process in real time the escaping gas information in the rice storage collected, and information acquisition system is used to gather rice escaping gas information transmission and enters computing machine 1;
Described LED light source 3 is fixed on the inner both sides of information acquisition system, for providing good light source to ensure to the collection of 3CCD camera 2 camera, improving the quality gathering image, processing in real time so that the later stage is sent to computing machine 1;
Reaction chamber 4 is provided with, arrangement sensor array 5 in reaction chamber 4 bottom described information acquisition system; Reaction chamber 4 is vessel that escaping gas in rice storage and corresponding color sensitive sensor carry out fully reacting, sensor array 5 be first by micro-sampling formed 4 × 3 array;
Described vacuum pump 6 is connected with the gas collecting probe 7 with speciality filter screen 8, and gas collecting probe injection port is equipped with filter screen 8, and heating module 9 is equipped with in lower end, and the escaping gas in the rice storage collected is pumped into reaction chamber 4 by gas collecting probe 7; Gas collecting probe 7 with speciality filter screen is directly placed in rice storage equipment 10; Effect with the gas collecting probe 7 of special filter screen is used to the impurity blocking device prevented in rice, and only extracts the rice escaping gas of storage.
Heating module 9 is placed in rice storage equipment 10, can be the device being used for arbitrarily heating, and for detecting the heating of sample, promotes gaseous volatilization.
embodiment 2: the detection method of freshness in a kind of rice storage
In rice storage, a detection method for freshness, comprises the steps:
(1) sample standard deviation of embodiment is from the rice of same kind, and all samples are divided into four groups according to storage time, are respectively 1 month, 2 months, 6 months and 12 months.Often group has 30 samples, totally 120 samples;
(2) making of color sensitive sensor: printed and dyed on polyvinylidene fluoride (PVDF) film by micro-sampling kapillary to the solution that 3 kinds of porphyrinses of rice freshness odor-sensitive and a kind of pH indicator are made into, make look quick material sensors array, wherein, 3 kinds of porphyrinses: 1. protoporphyrin dimethyl ester, 2. octaethylporphyrin, 3. tetraphenyl benzo ternary porphyrin, is dissolved in dichloromethane solvent respectively, and concentration range is that 1-2mg/mL(is through optimizing in advance); PH indicator: Nile red, is dissolved in ethanol, and concentration range is that 1-2mg/mL(is through optimizing in advance);
(3) by sensor array 5 as in reaction chamber 4,3CCD camera 2 obtains the initial pictures of reaction front sensor array R, G, B tri-Color Channels;
(4) gas collecting probe 7 is placed in rice sample, opens heating module 9 and vacuum pump 6, and the escaping gas extracted in rice storage enters reaction chamber 4 and reacts with look quick material; 3CCD camera obtains R, G, B image transmitting of the rear sensor array of reaction to computing machine, computing machine 1 carries out image procossing, extracted (with look quick material center of gravity for round dot by the denoising of image gaussian filtering, Threshold segmentation, Morphological scale-space, characteristic area, 15 pixels are the circle of radius) etc. obtain the mean value of R, G, B gray scale of assorted quick material in image before and after reaction, again the mean value of gray scale before and after reaction is subtracted each other, obtain the response characteristic matrix of visible sensor array, then eigenmatrix is reduced to image (as Fig. 2).Data are carried out principal component analysis (PCA), extracts front 7 major components and build linear discriminant analysis model to differentiate the freshness of rice.
(5) 40 independent samples (each classification has 10 samples) are utilized to verify the method, result is as shown in table 1, result shows that the comprehensive discrimination of the method to all samples reaches 85%, but the discrimination for storage 6 months and the storage rice sample of 12 months is 100%.Show that the method can be carried out intellectuality to the freshness of rice and be differentiated.
Table 1LDA model prediction rice freshness
Claims (7)
1. the detection method of freshness in rice storage, it is characterized in that, described method utilizes look quick material and the different freshness differentiating rice of rice odor response color of different freshness, mainly comprises the steps:
(1) first determined the feature escaping gas of different freshness rice by GC-MS, then screen the quick material of the look of these gas sensitizations, make look quick material sensors array;
(2) 3CCD camera (2) obtains the Initial R of reaction front sensor array, G, B image transmitting to computing machine (1), and computing machine (1) carries out image procossing and obtains priming color information;
(3) gather different phase rice escaping gas, the information transmission gathered is carried out image procossing to obtain the eigenmatrix of different freshness rice escaping gas to computing machine (1);
(4) utilize look quick material sensors array (5) and sample escaping gas to react, extract relevant information, input built good freshness linear discriminant model, namely realize the detection to sample to be tested freshness.
2. the detection method of freshness in a kind of rice storage according to claim 1, it is characterized in that, the characteristic escaping gas of the different freshness rice determined by GC-MS described in step (1) is eight (ethylene glycol) one (dodecyl) ether, benzaldehyde, hexanal.
3. the detection method of freshness in a kind of rice storage according to claim 1, it is characterized in that, the look quick material described in step (1) is 3 kinds of porphyrinses and a kind of pH indicator; Wherein, 3 kinds of porphyrinses are protoporphyrin dimethyl ester, octaethylporphyrin, tetraphenyl benzo ternary porphyrin, and be dissolved in respectively in dichloromethane solvent by porphyrins, concentration range is 1-2mg/mL; PH indicator is Nile red, and be dissolved in ethanol, concentration is 1-2mg/mL, is printed and dyed one by one on polyvinylidene fluoride (PVDF) film by each look quick material by micro-sampling kapillary, makes look quick material sensors array.
4. the detection method of freshness in a kind of rice storage according to claim 1, it is characterized in that, described in step (3), the collection concrete operations of different phase rice escaping gas are as follows:
Gas collecting probe (7) is placed in rice sample, opens heating module (9) and vacuum pump (6), and the escaping gas extracted in rice storage enters reaction chamber (4) and reacts with the look quick material of sensor array (5); 3CCD camera (2) obtain reaction after by R, G, B image transmitting of sensor array (5) to computing machine (1), computing machine (1) carries out image procossing.
5. the detection method of freshness in a kind of rice storage according to claim 1, it is characterized in that, the concrete grammar that step (2) or the computing machine described in (3) carry out image procossing is:
The image information collected is extracted by gaussian filtering denoising, Threshold segmentation, Morphological scale-space, characteristic area, with look quick material center of gravity for round dot, 15 pixels are the circle of radius, obtain the mean value of R, G, B gray scale of assorted quick material in image before and after reaction, obtain the eigenmatrix of different freshness rice escaping gas.
6. the detection method of freshness in a kind of rice storage according to claim 4, it is characterized in that, heating module (9) is equipped with in wherein said gas collecting probe (7) lower end, for detecting the heating of sample, promote gaseous volatilization, gas collecting probe (7) injection port is equipped with filter screen (8), for preventing the impurity blocking device in rice, and only extracts the rice escaping gas of storage.
7. the detection method of freshness in a kind of rice storage according to claim 4, it is characterized in that, the wherein foundation of freshness linear discriminant model described in step (4), concrete operations are that data are carried out principal component analysis (PCA), finally choose front 7 major components and build linear discriminant analysis model to differentiate the freshness of rice.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510370444.9A CN105181912B (en) | 2015-06-30 | 2015-06-30 | A kind of Noninvasive Measuring Method of Freshness in rice storage |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201510370444.9A CN105181912B (en) | 2015-06-30 | 2015-06-30 | A kind of Noninvasive Measuring Method of Freshness in rice storage |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN105181912A true CN105181912A (en) | 2015-12-23 |
| CN105181912B CN105181912B (en) | 2017-09-05 |
Family
ID=54904135
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201510370444.9A Active CN105181912B (en) | 2015-06-30 | 2015-06-30 | A kind of Noninvasive Measuring Method of Freshness in rice storage |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN105181912B (en) |
Cited By (12)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105738581A (en) * | 2016-02-01 | 2016-07-06 | 浙江大学 | Method for quickly identifying walnuts with different freshnesses based on electronic nose |
| CN107228854A (en) * | 2017-06-26 | 2017-10-03 | 河北百强医用设备制造有限公司 | Using the tidal air Volatile Organic Components automatic detection device and its detection method of optical camera |
| CN107960838A (en) * | 2016-10-20 | 2018-04-27 | 佛山市顺德区美的电热电器制造有限公司 | Article-storage device and cooking apparatus |
| CN108088894A (en) * | 2016-11-21 | 2018-05-29 | 中国科学院大连化学物理研究所 | The apparatus and method that a kind of quick nondestructive differentiates different year grain in storage for years |
| CN109406500A (en) * | 2018-09-30 | 2019-03-01 | 江苏大学 | A kind of sausage rapid classification method based on olfaction visualization array |
| CN109447104A (en) * | 2018-09-10 | 2019-03-08 | 江苏大学 | Food smell mobile phone imaging detection method based on olfaction visualization technology |
| CN109447130A (en) * | 2018-09-30 | 2019-03-08 | 江苏大学 | It is a kind of that bacon detection device and method are lost based on the Kazakhstan for visualizing Gas Sensor Array |
| CN109682805A (en) * | 2019-02-13 | 2019-04-26 | 南通市食品药品监督检验中心 | A kind of aquatic products freshness detection device and method based on smell-seeing fingerprint technique |
| CN110702815A (en) * | 2019-10-29 | 2020-01-17 | 江苏大学 | Olfactory sensing detection method for flour storage quality |
| CN114052511A (en) * | 2020-07-31 | 2022-02-18 | 佛山市顺德区美的电热电器制造有限公司 | Control method, control device, food material processing appliance and readable storage medium |
| CN114052463A (en) * | 2020-07-31 | 2022-02-18 | 佛山市顺德区美的电热电器制造有限公司 | Control method, control device, food processing appliance, and storage medium |
| CN115046363A (en) * | 2022-06-30 | 2022-09-13 | 桂林电子科技大学 | Intelligent refrigerator based on machine vision and spectrum detection and operation method |
Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1556412A (en) * | 2004-01-08 | 2004-12-22 | 江苏大学 | Agricultural and animal product nondestrctive detection method based on electronic visual sense and smell sense fusion technology and its device |
| CN1865943A (en) * | 2006-05-17 | 2006-11-22 | 江苏大学 | Visual detection method for food aroma and device therefor |
| CN101936912A (en) * | 2010-08-25 | 2011-01-05 | 江苏大学 | Method and device for detecting freshness of fish based on olfaction visualization |
| CN102706870A (en) * | 2012-06-11 | 2012-10-03 | 江苏大学 | Method and system for monitoring stored-grain insect generation information in real time |
| CN102967597A (en) * | 2012-09-26 | 2013-03-13 | 江苏大学 | Olfactory imaging sensing technology based yellow wine storage time identification method and identification system |
| CN103063813A (en) * | 2012-12-26 | 2013-04-24 | 江苏大学 | Rapid nondestructive on-line detection method and apparatus for freshness of fishes |
-
2015
- 2015-06-30 CN CN201510370444.9A patent/CN105181912B/en active Active
Patent Citations (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1556412A (en) * | 2004-01-08 | 2004-12-22 | 江苏大学 | Agricultural and animal product nondestrctive detection method based on electronic visual sense and smell sense fusion technology and its device |
| CN1865943A (en) * | 2006-05-17 | 2006-11-22 | 江苏大学 | Visual detection method for food aroma and device therefor |
| CN101936912A (en) * | 2010-08-25 | 2011-01-05 | 江苏大学 | Method and device for detecting freshness of fish based on olfaction visualization |
| CN102706870A (en) * | 2012-06-11 | 2012-10-03 | 江苏大学 | Method and system for monitoring stored-grain insect generation information in real time |
| CN102967597A (en) * | 2012-09-26 | 2013-03-13 | 江苏大学 | Olfactory imaging sensing technology based yellow wine storage time identification method and identification system |
| 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 (6)
| Title |
|---|
| CHEN ZHANG: "Colorimetric Sensor Arrays for the Analysis of Beers: A Feasibility Study", 《J. AGRIC. FOOD CHEM》 * |
| HENGWEI LIN: "A Colorimetric Sensor Array for Detection of Triacetone Triperoxide Vapor", 《J. AM. CHEM. SOC》 * |
| HUANG XIAO-WEI: "Determination of pork spoilage by colorimetric gas sensor array based on natural pigments", 《FOOD CHEMISTRY》 * |
| QIN OUYANG: "Classification of rice wine according to different marked ages using a novel artificial olfactory technique based on colorimetric sensor array", 《FOOD CHEMISTRY》 * |
| QUANSHENG CHEN: "Classification of tea category using a portable electronic nose based on an odor imaging sensor array", 《JOURNAL OF PHARMACEUTICAL AND BIOMEDICAL ANALYSIS》 * |
| XINGYI HUANG: "A novel technique for rapid evaluation of fish freshness using colorimetric sensor array", 《JOURNAL OF FOOD ENGINEERING》 * |
Cited By (15)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN105738581A (en) * | 2016-02-01 | 2016-07-06 | 浙江大学 | Method for quickly identifying walnuts with different freshnesses based on electronic nose |
| CN107960838A (en) * | 2016-10-20 | 2018-04-27 | 佛山市顺德区美的电热电器制造有限公司 | Article-storage device and cooking apparatus |
| CN107960838B (en) * | 2016-10-20 | 2023-12-22 | 佛山市顺德区美的电热电器制造有限公司 | Storage device and cooking utensil |
| CN108088894A (en) * | 2016-11-21 | 2018-05-29 | 中国科学院大连化学物理研究所 | The apparatus and method that a kind of quick nondestructive differentiates different year grain in storage for years |
| CN107228854A (en) * | 2017-06-26 | 2017-10-03 | 河北百强医用设备制造有限公司 | Using the tidal air Volatile Organic Components automatic detection device and its detection method of optical camera |
| CN109447104A (en) * | 2018-09-10 | 2019-03-08 | 江苏大学 | Food smell mobile phone imaging detection method based on olfaction visualization technology |
| CN109447130A (en) * | 2018-09-30 | 2019-03-08 | 江苏大学 | It is a kind of that bacon detection device and method are lost based on the Kazakhstan for visualizing Gas Sensor Array |
| CN109447130B (en) * | 2018-09-30 | 2021-10-12 | 江苏大学 | Ha-bai preserved meat detection device and method based on visual gas-sensitive array |
| CN109406500A (en) * | 2018-09-30 | 2019-03-01 | 江苏大学 | A kind of sausage rapid classification method based on olfaction visualization array |
| CN109682805A (en) * | 2019-02-13 | 2019-04-26 | 南通市食品药品监督检验中心 | A kind of aquatic products freshness detection device and method based on smell-seeing fingerprint technique |
| CN110702815A (en) * | 2019-10-29 | 2020-01-17 | 江苏大学 | Olfactory sensing detection method for flour storage quality |
| CN114052511A (en) * | 2020-07-31 | 2022-02-18 | 佛山市顺德区美的电热电器制造有限公司 | Control method, control device, food material processing appliance and readable storage medium |
| CN114052463A (en) * | 2020-07-31 | 2022-02-18 | 佛山市顺德区美的电热电器制造有限公司 | Control method, control device, food processing appliance, and storage medium |
| CN114052511B (en) * | 2020-07-31 | 2023-09-19 | 佛山市顺德区美的电热电器制造有限公司 | Control method, control device, food processing tool, and readable storage medium |
| CN115046363A (en) * | 2022-06-30 | 2022-09-13 | 桂林电子科技大学 | Intelligent refrigerator based on machine vision and spectrum detection and operation method |
Also Published As
| Publication number | Publication date |
|---|---|
| CN105181912B (en) | 2017-09-05 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN105181912A (en) | Method for detection of freshness during rice storage | |
| CN103076288B (en) | A kind of flesh of fish self-grading device based on computer vision and method | |
| CN101881726B (en) | Nondestructive detection method for comprehensive character living bodies of plant seedlings | |
| CN103900972B (en) | Multi-feature fusion-based meat freshness hyperspectral image visual detection | |
| CN106596416A (en) | Chilled fresh meat quality non-destructive testing method based on hyperspectral imaging technology | |
| CN104198695B (en) | A kind of method for the interpretation of result that developed the color to colloidal gold strip | |
| CN102967597A (en) | Olfactory imaging sensing technology based yellow wine storage time identification method and identification system | |
| CN109406500A (en) | A kind of sausage rapid classification method based on olfaction visualization array | |
| CN109447130B (en) | Ha-bai preserved meat detection device and method based on visual gas-sensitive array | |
| CN104977296A (en) | Novel alcohol degree detection method and apparatus | |
| Wang et al. | Smartphone imaging spectrometer for egg/meat freshness monitoring | |
| CN109883959A (en) | A kind of Portable multiple spectrum imaging device and its application based on array sensor chip | |
| CN111380813B (en) | Portable wheat seed multi-quality nondestructive testing device and testing method | |
| CN104330382A (en) | Safety classification method of fresh beef | |
| CN105954412A (en) | Sensor array optimization method for Carya cathayensis freshness detection | |
| CN105890764A (en) | Plant flower color shade distinguishing method based on computer image processing | |
| CN104977258A (en) | Tea/cosmetics quality detecting method based on two-dimensional correlation spectra | |
| CN107228942A (en) | Fluorescence immune chromatography detection method and device based on sparse own coding neutral net | |
| Chen et al. | Classification of vinegar with different marked ages using olfactory sensors and gustatory sensors | |
| CN109827957A (en) | A kind of rice leaf SPAD value estimating and measuring method based on computer vision and system | |
| CN106018392A (en) | Novel vinegar age rapid detecting method | |
| CN116862456B (en) | Traditional Chinese medicine production monitoring control system and method based on image processing | |
| CN102788796B (en) | Nutrient diagnosis device and nutrient diagnosis method for nitrogen of crops based on multi-information integration of high spectral images and fluorescent images | |
| CN109239058A (en) | A kind of preparation method and application visualizing time-temperature sensor | |
| CN106940292A (en) | Bar denier wood raw material quick nondestructive discrimination method of damaging by worms based on multi-optical spectrum imaging technology |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| C06 | Publication | ||
| PB01 | Publication | ||
| C10 | Entry into substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |