CN115420717A - Food safety detection method - Google Patents
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- CN115420717A CN115420717A CN202210874146.3A CN202210874146A CN115420717A CN 115420717 A CN115420717 A CN 115420717A CN 202210874146 A CN202210874146 A CN 202210874146A CN 115420717 A CN115420717 A CN 115420717A
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- 235000013305 food Nutrition 0.000 title claims abstract description 276
- 238000001514 detection method Methods 0.000 title claims abstract description 81
- 239000003814 drug Substances 0.000 claims abstract description 24
- 239000002994 raw material Substances 0.000 claims abstract description 12
- GNBHRKFJIUUOQI-UHFFFAOYSA-N fluorescein Chemical compound O1C(=O)C2=CC=CC=C2C21C1=CC=C(O)C=C1OC1=CC(O)=CC=C21 GNBHRKFJIUUOQI-UHFFFAOYSA-N 0.000 claims description 19
- 238000012216 screening Methods 0.000 claims description 12
- 239000000872 buffer Substances 0.000 claims description 2
- 230000004927 fusion Effects 0.000 claims description 2
- 229940079593 drug Drugs 0.000 claims 1
- 238000000605 extraction Methods 0.000 abstract description 15
- 239000007853 buffer solution Substances 0.000 description 17
- 238000007689 inspection Methods 0.000 description 7
- 239000000203 mixture Substances 0.000 description 6
- 235000019601 food appearance Nutrition 0.000 description 2
- 241000233866 Fungi Species 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000007547 defect Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 235000021393 food security Nutrition 0.000 description 1
- 239000000463 material Substances 0.000 description 1
- 238000000034 method Methods 0.000 description 1
- 244000005700 microbiome Species 0.000 description 1
- 239000000447 pesticide residue Substances 0.000 description 1
- 239000008177 pharmaceutical agent Substances 0.000 description 1
- 238000005070 sampling Methods 0.000 description 1
- 239000000243 solution Substances 0.000 description 1
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/62—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light
- G01N21/63—Systems in which the material investigated is excited whereby it emits light or causes a change in wavelength of the incident light optically excited
- G01N21/64—Fluorescence; Phosphorescence
- G01N21/6428—Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes"
- G01N21/643—Measuring fluorescence of fluorescent products of reactions or of fluorochrome labelled reactive substances, e.g. measuring quenching effects, using measuring "optrodes" non-biological material
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/02—Devices for withdrawing samples
- G01N1/10—Devices for withdrawing samples in the liquid or fluent state
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/24—Querying
- G06F16/245—Query processing
- G06F16/2458—Special types of queries, e.g. statistical queries, fuzzy queries or distributed queries
- G06F16/2462—Approximate or statistical queries
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F16/00—Information retrieval; Database structures therefor; File system structures therefor
- G06F16/20—Information retrieval; Database structures therefor; File system structures therefor of structured data, e.g. relational data
- G06F16/25—Integrating or interfacing systems involving database management systems
- G06F16/252—Integrating or interfacing systems involving database management systems between a Database Management System and a front-end application
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N21/00—Investigating or analysing materials by the use of optical means, i.e. using sub-millimetre waves, infrared, visible or ultraviolet light
- G01N21/01—Arrangements or apparatus for facilitating the optical investigation
- G01N2021/0106—General arrangement of respective parts
- G01N2021/0112—Apparatus in one mechanical, optical or electronic block
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- Engineering & Computer Science (AREA)
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- Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Immunology (AREA)
- Theoretical Computer Science (AREA)
- Databases & Information Systems (AREA)
- Chemical & Material Sciences (AREA)
- Pathology (AREA)
- Analytical Chemistry (AREA)
- Biochemistry (AREA)
- General Health & Medical Sciences (AREA)
- Data Mining & Analysis (AREA)
- General Engineering & Computer Science (AREA)
- Probability & Statistics with Applications (AREA)
- Molecular Biology (AREA)
- Nuclear Medicine, Radiotherapy & Molecular Imaging (AREA)
- Chemical Kinetics & Catalysis (AREA)
- Optics & Photonics (AREA)
- Fuzzy Systems (AREA)
- Mathematical Physics (AREA)
- Software Systems (AREA)
- Computational Linguistics (AREA)
- Hydrology & Water Resources (AREA)
- Measuring Or Testing Involving Enzymes Or Micro-Organisms (AREA)
Abstract
The invention relates to the technical field of food safety, and discloses a food safety detection method, which comprises the following steps: s1: collecting food sample information; s2: extracting a food sample; s3: adding a medicament required for detection; s4: extracting the fused food sample; s5: sending the sample into a detection device for detection; s6: connecting a database and comparing; s7: the staff takes notes, food sample information includes food manufacturer, food raw materials, the outward appearance photo of food, the time of leaving the factory of food and the sales channel of food in S1, the weight of extraction food sample generally is 1-10 grams in S2 to take notes when the extraction, can be better detect food, detect food more comprehensively, reduced the cost that detects, utilize the extraction food sample to realize full-automatic taking a sample, need not the manual work and take a sample, greatly reduced the labour, reduce the probability of makeing mistakes, improve the precision that detects, very big has made things convenient for the user to detect food.
Description
Technical Field
The invention relates to the technical field of food safety, in particular to a food safety detection method.
Background
With the development of socioeconomic, more and more people pay attention to health, especially to the safety of imported foods. At present, the national government and the institution adopt a mode of entering various markets for on-line inspection or spot inspection by using food safety detection instruments and equipment to solve the problem of food quality, and aim to ensure the food safety of consumers. On one hand, the food market is too large, and the operability of a spot inspection mode is high, so that the defects of missed inspection, incomplete inspection, poor reliability of inspection results and the like can be caused; meanwhile, various detection items are single in equipment, and one equipment only detects one item index, for example, one equipment is used for detecting pesticide residues, and the other equipment is used for detecting microorganisms and fungi; on the other hand, even if the food purchased by the consumer is originally qualified safe food, the food will deteriorate due to the problems of storage environment, storage time and the like, and the consumer urgently needs a portable food safety detection device under the condition that the consumer cannot confirm whether the food is deteriorated; in the third aspect, the existing food safety detection equipment needs more professional auxiliary equipment; the detection steps are complicated and have certain operation difficulty; the detection result needs to be interpreted by professional personnel. Therefore, the existing food safety detection has the advantages of single detection item, high cost, large equipment volume and inconvenient operation, and along with the attention of common consumers on food safety, the requirements of simplification, convenient operation and accurate result of the equipment for food safety detection are not relaxed.
Disclosure of Invention
The invention aims to provide a food safety detection method, which solves the problems in the background technology.
In order to achieve the purpose, the invention provides the following technical scheme: a food safety detection method comprises the following steps:
s1: collecting food sample information;
s2: extracting a food sample;
s3: adding a medicament required for detection;
s4: extracting the fused food sample;
s5: sending the sample into a detection device for detection;
s6: connecting a database and comparing;
s7: and recording by the staff.
Preferably, the food sample information in S1 includes a food manufacturer, a food material, a picture of the appearance of the food, the time of delivery of the food, and a sales channel of the food.
Preferably, the weight of the food sample extracted in S2 is generally 1 to 10 g, and is recorded at the time of extraction.
Preferably, the pharmaceutical agents in S3 are divided into buffer and fluorescein, and are shaken after addition to allow rapid fusion.
Preferably, the amount of the fused food sample extracted in S4 is generally 5 to 15 g.
Preferably, the time for detecting the food sample in S5 is generally 10-20 minutes, and the screening is performed during the time, and the food sample suspected to be problematic is screened.
Preferably, the food sample suspected of being problematic is compared with the data in the food safety database in S6, and the comparison time is generally 10-20 minutes.
Preferably, the detected result of the food sample is recorded and uploaded to the food safety database in S7.
The invention provides a food safety detection method. The food safety detection method has the following beneficial effects:
in the invention: this food safety inspection method, can be better detect food, detect food more comprehensively, reduced the cost that detects, utilize extraction food sample to realize full-automatic taking a sample, need not the manual work and take a sample, greatly reduced labour reduces the probability of makeing mistakes, improves the precision that detects, very big has made things convenient for the user to detect food.
Detailed Description
Example one
The invention provides a technical scheme that: a food safety detection method comprises the following steps:
s1: collecting food sample information, wherein the food sample information in the S1 comprises food manufacturers, food raw materials, appearance photos of food, delivery time of food and a sale channel of food;
s2: the food sample is extracted, the weight of the extracted food sample in S2 is typically 1 gram, and is recorded at the time of extraction;
s3: adding a medicament required for detection, wherein the medicament in the S3 is divided into a buffer solution and fluorescein, and shaking is carried out after the addition to rapidly fuse the buffer solution and the fluorescein;
s4: extracting the fused food sample, wherein the amount of the fused food sample extracted in S4 is generally 5 g;
s5: sending the food sample into a detection device for detection, wherein the detection time of the food sample in S5 is generally 10 minutes, and screening the food sample suspected to be problematic during the time;
s6: connecting a database and comparing, and in S6, comparing the suspected problematic food sample with the data in the food safety database, wherein the comparison time is generally 10 minutes;
s7: recording by a worker, and recording and uploading a result detected from the food sample to a food safety database in S7;
example two
The invention provides a technical scheme that: a food safety detection method comprises the following steps:
s1: collecting food sample information, wherein the food sample information in the S1 comprises food manufacturers, food raw materials, appearance photos of food, delivery time of food and a sale channel of food;
s2: a food sample is withdrawn, the weight of the withdrawn food sample in S2 is typically 2 grams and is recorded at the time of withdrawal;
s3: adding a medicament required for detection, wherein the medicament in the S3 is divided into a buffer solution and fluorescein, and shaking the mixture after the addition to enable the mixture to be rapidly fused;
s4: extracting the fused food sample, wherein the amount of the fused food sample extracted in S4 is generally 6 g;
s5: sending the food sample into a detection device for detection, wherein the time for detecting the food sample in S5 is generally 11 minutes, and screening the food sample suspected to be problematic during the time;
s6: connecting a database and comparing, and in S6, comparing the suspected problematic food sample with the data in the food safety database, wherein the comparison time is generally 11 minutes;
s7: recording by workers, and recording and uploading a result detected by the food sample to a food safety database in S7;
EXAMPLE III
The invention provides a technical scheme that: a food safety detection method comprises the following steps:
s1: collecting food sample information, wherein the food sample information in the S1 comprises food manufacturers, food raw materials, appearance photos of food, delivery time of food and a sale channel of food;
s2: the food sample is extracted, the weight of the extracted food sample in S2 is typically 3 grams and is recorded at the time of extraction;
s3: adding a medicament required for detection, wherein the medicament in the S3 is divided into a buffer solution and fluorescein, and shaking is carried out after the addition to rapidly fuse the buffer solution and the fluorescein;
s4: extracting the fused food sample, wherein the amount of the fused food sample extracted in S4 is generally 7 g;
s5: sending the food samples to a detection device for detection, wherein the detection time of the food samples in S5 is generally 12 minutes, and screening is carried out during the time, so that the food samples suspected to be problematic are screened;
s6: connecting a database and comparing, and in S6, comparing the suspected problematic food sample with the data in the food safety database, wherein the comparison time is generally 12 minutes;
s7: recording by workers, and recording and uploading a result detected by the food sample to a food safety database in S7;
example four
The invention provides a technical scheme that: a food safety detection method comprises the following steps:
s1: collecting food sample information, wherein the food sample information in the S1 comprises food manufacturers, food raw materials, appearance photos of food, delivery time of food and a sale channel of food;
s2: the food sample is extracted, the weight of the extracted food sample in S2 is typically 4 grams and is recorded at the time of extraction;
s3: adding a medicament required for detection, wherein the medicament in the S3 is divided into a buffer solution and fluorescein, and shaking is carried out after the addition to rapidly fuse the buffer solution and the fluorescein;
s4: extracting the fused food sample, wherein the amount of the fused food sample extracted in S4 is generally 8 g;
s5: sending the food sample into a detection device for detection, wherein the time for detecting the food sample in S5 is generally 13 minutes, and screening the food sample suspected to be problematic during the time;
s6: connecting a database and comparing, and in S6, comparing the suspected problematic food sample with the data in the food safety database, wherein the comparison time is generally 13 minutes;
s7: recording by workers, and recording and uploading a result detected by the food sample to a food safety database in S7;
EXAMPLE five
The invention provides a technical scheme that: a food safety detection method comprises the following steps:
s1: collecting food sample information, wherein the food sample information in S1 comprises food manufacturers, food raw materials, food appearance photos, food delivery time and food sales channels;
s2: the food sample is extracted, the weight of the extracted food sample in S2 is typically 5 grams and is recorded at the time of extraction;
s3: adding a medicament required for detection, wherein the medicament in the S3 is divided into a buffer solution and fluorescein, and shaking is carried out after the addition to rapidly fuse the buffer solution and the fluorescein;
s4: extracting the fused food sample, wherein the amount of the fused food sample extracted in S4 is generally 9 g;
s5: sending the food samples to a detection device for detection, wherein the detection time of the food samples in S5 is generally 14 minutes, and screening is carried out during the time, so that the food samples suspected to be problematic are screened;
s6: connecting a database and comparing, and in S6, comparing the suspected problematic food sample with the data in the food safety database, wherein the comparison time is generally 14 minutes;
s7: recording by workers, and recording and uploading a result detected by the food sample to a food safety database in S7;
EXAMPLE six
The invention provides a technical scheme that: a food safety detection method comprises the following steps:
s1: collecting food sample information, wherein the food sample information in the S1 comprises food manufacturers, food raw materials, appearance photos of food, delivery time of food and a sale channel of food;
s2: the food sample is extracted, the weight of the extracted food sample in S2 is typically 6 grams and is recorded at the time of extraction;
s3: adding a medicament required for detection, wherein the medicament in the S3 is divided into a buffer solution and fluorescein, and shaking the mixture after the addition to enable the mixture to be rapidly fused;
s4: extracting the fused food sample, wherein the amount of the fused food sample extracted in S4 is generally 10 g;
s5: sending the food samples to a detection device for detection, wherein the time for detecting the food samples in S5 is generally 15 minutes, and screening the food samples suspected of being problematic during the time;
s6: connecting a database and comparing, wherein S6, the suspected problematic food sample is compared with the data in the food safety database, and the comparison time is generally 15 minutes;
s7: recording by workers, and recording and uploading a result detected by the food sample to a food safety database in S7;
EXAMPLE seven
The invention provides a technical scheme that: a food safety detection method comprises the following steps:
s1: collecting food sample information, wherein the food sample information in the S1 comprises food manufacturers, food raw materials, appearance photos of food, delivery time of food and a sale channel of food;
s2: the food sample is extracted, the weight of the extracted food sample in S2 is typically 7 grams and is recorded at the time of extraction;
s3: adding a medicament required for detection, wherein the medicament in the S3 is divided into a buffer solution and fluorescein, and shaking is carried out after the addition to rapidly fuse the buffer solution and the fluorescein;
s4: extracting the fused food sample, wherein the amount of the fused food sample extracted in S4 is generally 11 g;
s5: sending the food sample into a detection device for detection, wherein the detection time of the food sample in S5 is generally 16 minutes, and screening the food sample suspected of being problematic during the detection time;
s6: connecting a database and comparing, and in S6, comparing the suspected problematic food sample with the data in the food safety database, wherein the comparison time is generally 16 minutes;
s7: recording by workers, and recording and uploading a result detected by the food sample to a food safety database in S7;
example eight
The invention provides a technical scheme that: a food safety detection method comprises the following steps:
s1: collecting food sample information, wherein the food sample information in the S1 comprises food manufacturers, food raw materials, appearance photos of food, delivery time of food and a sale channel of food;
s2: the food sample is extracted, the weight of the extracted food sample in S2 is typically 8 grams and is recorded at the time of extraction;
s3: adding a medicament required for detection, wherein the medicament in the S3 is divided into a buffer solution and fluorescein, and shaking is carried out after the addition to rapidly fuse the buffer solution and the fluorescein;
s4: extracting the fused food sample, wherein the amount of the fused food sample extracted in S4 is generally 12 g;
s5: sending the food sample into a detection device for detection, wherein the time for detecting the food sample in S5 is generally 17 minutes, and screening the food sample suspected to be problematic during the time;
s6: connecting a database and comparing, and in S6, comparing the suspected problematic food sample with the data in the food safety database, wherein the comparison time is generally 17 minutes;
s7: recording by a worker, and recording and uploading a result detected from the food sample to a food safety database in S7;
example nine
The invention provides a technical scheme that: a food safety detection method comprises the following steps:
s1: collecting food sample information, wherein the food sample information in the S1 comprises food manufacturers, food raw materials, appearance photos of food, delivery time of food and a sale channel of food;
s2: the food sample is extracted, the weight of the extracted food sample in S2 is typically 9 grams and is recorded at the time of extraction;
s3: adding a medicament required for detection, wherein the medicament in the S3 is divided into a buffer solution and fluorescein, and shaking the mixture after the addition to enable the mixture to be rapidly fused;
s4: extracting the fused food sample, wherein the amount of the fused food sample extracted in S4 is generally 13 g;
s5: sending the food sample into a detection device for detection, wherein the detection time of the food sample in S5 is generally 18 minutes, and screening is carried out during the time, so that the food sample suspected to be problematic is screened;
s6: connecting a database and comparing, wherein S6, the suspected problematic food sample is compared with the data in the food safety database, and the comparison time is generally 18 minutes;
s7: recording by workers, and recording and uploading a result detected by the food sample to a food safety database in S7;
example ten
The invention provides a technical scheme that: a food safety detection method comprises the following steps:
s1: collecting food sample information, wherein the food sample information in S1 comprises food manufacturers, food raw materials, food appearance photos, food delivery time and food sales channels;
s2: the food sample is extracted, the weight of the extracted food sample in S2 is typically 10 grams and is recorded at the time of extraction;
s3: adding a medicament required for detection, wherein the medicament in the S3 is divided into a buffer solution and fluorescein, and shaking is carried out after the addition to rapidly fuse the buffer solution and the fluorescein;
s4: extracting the fused food sample, wherein the amount of the fused food sample extracted in S4 is generally 14 g;
s5: sending the food sample into a detection device for detection, wherein the time for detecting the food sample in S5 is generally 19 minutes, and screening the food sample suspected to be problematic during the time;
s6: connecting a database and comparing, and in S6, comparing the suspected problematic food sample with the data in the food safety database, wherein the comparison time is generally 19 minutes;
s7: the staff takes notes, the food security database is uploaded to the result that detects the food sample in S7, can be better detect food, detect food more comprehensively, the cost of detecting is reduced, full-automatic sampling is realized to the utilization extraction food sample, need not the manual work and take a sample, the greatly reduced labour, the probability that reduces to make mistakes improves the precision that detects, very big has made things convenient for the user to detect food.
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any person skilled in the art should be considered to be within the technical scope of the present invention, and the technical solutions and the inventive concepts thereof according to the present invention should be equivalent or changed within the scope of the present invention.
Claims (8)
1. A food safety detection method comprises the following steps:
s1: collecting food sample information;
s2: extracting a food sample;
s3: adding a medicament required for detection;
s4: extracting the fused food sample;
s5: sending the sample into a detection device for detection;
s6: connecting a database and comparing;
s7: and recording by the staff.
2. The food safety detection method according to claim 1, characterized in that: and the food sample information in the S1 comprises food manufacturers, food raw materials, appearance photos of the food, the delivery time of the food and a sales channel of the food.
3. The food safety detection method according to claim 1, characterized in that: the weight of the food sample taken in S2 is typically 1-10 grams and is recorded at the time of withdrawal.
4. The food safety detection method according to claim 1, characterized in that: the S3 drug is divided into a buffer and fluorescein, and shaken after addition to allow rapid fusion.
5. The food safety detection method according to claim 1, characterized in that: the amount of the fused food sample to be extracted in S4 is generally 5 to 15 g.
6. The food safety detection method according to claim 1, characterized in that: the time for detecting the food sample in the S5 is generally 10-20 minutes, and screening is carried out during the time, and the food sample suspected to be in question is screened.
7. The food safety detection method according to claim 1, characterized in that: and S6, comparing the food sample suspected to be in question with the data in the food safety database, wherein the comparison time is generally 10-20 minutes.
8. The food safety detection method according to claim 1, characterized in that: and S7, recording the detection result of the food sample and uploading the result to a food safety database.
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| Application Number | Priority Date | Filing Date | Title |
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| CN202210874146.3A CN115420717A (en) | 2022-07-25 | 2022-07-25 | Food safety detection method |
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Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107860719A (en) * | 2017-10-20 | 2018-03-30 | 辽宁工程技术大学 | A kind of food safety detection system |
| CN108318466A (en) * | 2018-04-11 | 2018-07-24 | 樊雪花 | A kind of food safety detection method |
| CN112285301A (en) * | 2020-11-02 | 2021-01-29 | 广州百应实验仪器科技有限公司 | Intelligent food rapid detection and analysis system |
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Patent Citations (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN107860719A (en) * | 2017-10-20 | 2018-03-30 | 辽宁工程技术大学 | A kind of food safety detection system |
| CN108318466A (en) * | 2018-04-11 | 2018-07-24 | 樊雪花 | A kind of food safety detection method |
| CN112285301A (en) * | 2020-11-02 | 2021-01-29 | 广州百应实验仪器科技有限公司 | Intelligent food rapid detection and analysis system |
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