CN113358433A - Food safety sampling detection method - Google Patents
Food safety sampling detection method Download PDFInfo
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- CN113358433A CN113358433A CN202110612196.XA CN202110612196A CN113358433A CN 113358433 A CN113358433 A CN 113358433A CN 202110612196 A CN202110612196 A CN 202110612196A CN 113358433 A CN113358433 A CN 113358433A
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N1/00—Sampling; Preparing specimens for investigation
- G01N1/28—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q
- G01N1/286—Preparing specimens for investigation including physical details of (bio-)chemical methods covered elsewhere, e.g. G01N33/50, C12Q involving mechanical work, e.g. chopping, disintegrating, compacting, homogenising
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01G—WEIGHING
- G01G17/00—Apparatus for or methods of weighing material of special form or property
- G01G17/04—Apparatus for or methods of weighing material of special form or property for weighing fluids, e.g. gases, pastes
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01N—INVESTIGATING OR ANALYSING MATERIALS BY DETERMINING THEIR CHEMICAL OR PHYSICAL PROPERTIES
- G01N33/00—Investigating or analysing materials by specific methods not covered by groups G01N1/00 - G01N31/00
- G01N33/02—Food
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Abstract
The invention discloses a food safety sampling detection method, which comprises the following steps: food sample selection, basic information input, crushing and screening, sample detection, data processing and sample processing, wherein a plurality of products are randomly extracted from food to be detected for standby application, numbering and marking are carried out, then food packaging is observed, basic information of the products is recorded by using methods such as mobile phone scanning two-dimensional codes and the like, then each sample is crushed and screened to obtain powdery easily-soluble samples and weighing are carried out, then the samples are placed into test tubes and injected with liquid to obtain solution, then component detection is carried out on the solution to obtain component data, then standard data are compared to obtain detection results, all data, video shooting materials and the detection results are uploaded to a network system to be displayed together, finally, labeling and classifying are carried out on the detected samples, and the samples are sealed and stored in a warehouse according to the label data.
Description
Technical Field
The invention relates to the field of food detection, in particular to a food safety sampling detection method.
Background
With the continuous improvement of economic level, the dietary requirements of people are more extensive, the food is more highly standardized, and the food types are more and more diversified, because of the food safety problem of continuous exposure in recent years, people's attention to food safety is continuously promoted, the food sampling detection is an important means for judging whether food is safe, the food safety detection is used for detecting harmful substances in food according to national indexes, mainly for detecting harmful and toxic indexes such as heavy metal content, aflatoxin and the like, the common food safety sampling detection method is simple, the samples are not finely processed, and meanwhile, the human factors are too many, the whole set of sampling detection process is lack of complete and effective management and supervision, the data confusion is easily caused, and the food safety sampling detection is influenced.
Disclosure of Invention
The invention mainly aims to provide a food safety sampling detection method which can effectively solve the problems in the background technology.
In order to achieve the purpose, the invention adopts the technical scheme that:
a food safety sampling detection method comprises the following steps:
s1: food sample selection, wherein a plurality of products are randomly extracted from the food to be detected for standby, and numbering and marking are sequentially carried out;
s2: basic information is input, two-dimensional codes or bar codes are scanned by a mobile phone according to information on sampled food packages, basic information of products is recorded, and corresponding production date, quality guarantee period and ingredient table information are marked;
s3: crushing and screening, extracting standby food raw materials, then crushing, placing crushed food into a vibrating screen for screening, and finally weighing and recording the screened and extracted food samples;
s4: sample detection, namely keeping the sample detection under a clear lens of video shooting, injecting a weighed food sample into a detection test tube, injecting a proper amount of liquid into the test tube, then shaking and stirring the test tube to obtain a corresponding solution, finally performing component detection on the solution in the test tube, and obtaining corresponding component content by comparing the weighing mass of the food sample so as to obtain detection data;
s5: data processing, namely recording the detected corresponding data according to the numbers respectively, comparing the data with the food safety qualified standard to obtain a detection result, and finally uploading all the data, video shooting materials and the detection result together and recording the data, the video shooting materials and the detection result into a system platform for public display;
s6: and (4) sample treatment, namely labeling and classifying the detected food samples, sealing and storing according to the label data, and finally warehousing.
Preferably, in the step S2, the basic information of the product should further include manufacturer information and an appearance photograph of the food and a corresponding sales channel, and the product with the product number should be marked with its number.
Preferably, in the step S3, the vibrating screen used should be a 40-mesh screen, and the weight difference of each sample after screening should be kept within ± 5 g.
Preferably, in the step S4, the shaking and stirring time of the test tube is not less than 1min, and no obvious precipitate is observed at the bottom of the test tube visually.
Preferably, in the step S5, when the system platform is entered, the data and videos of each product should be kept corresponding, and classified display is performed, and the qualified data standard and the standard exceeding value of the unqualified product should be disclosed, so as to facilitate observation and comparison.
Preferably, in the step S6, before the sample is warehoused, labeling should be performed outside the unqualified sample test tube to clearly identify the standard exceeding data information.
Compared with the prior art, the invention has the following beneficial effects:
through extracting a plurality of food samples, and type in the basic information of food, can effectively take notes the detailed data of every batch of food, conveniently trace back data and past information, the consumer of also being convenient for simultaneously inquires, through carrying out breakage and screening at food sample, and keep weighing the quality within error range, guarantee food detection's accurate nature, compare through the data after detecting, and shoot material and testing result with all data and video and upload in the system platform in the lump and carry out the notarization, can effectively remain data information, make the more comprehensive understanding food information of consumer.
Drawings
Fig. 1 is a flow chart of a food safety sampling detection method of the present invention.
Detailed Description
In order to make the technical means, the creation characteristics, the achievement purposes and the effects of the invention easy to understand, the invention is further described with the specific embodiments.
As shown in fig. 1, a food safety sampling detection method includes the following steps:
s1: food sample selection, wherein a plurality of products are randomly extracted from the food to be detected for standby, and numbering and marking are sequentially carried out;
s2: basic information is input, two-dimensional codes or bar codes are scanned by a mobile phone according to information on sampled food packages, basic information of products is recorded, and corresponding production date, quality guarantee period and ingredient table information are marked;
s3: crushing and screening, extracting standby food raw materials, then crushing, placing crushed food into a vibrating screen for screening, and finally weighing and recording the screened and extracted food samples;
s4: sample detection, namely keeping the sample detection under a clear lens of video shooting, injecting a weighed food sample into a detection test tube, injecting a proper amount of liquid into the test tube, then shaking and stirring the test tube to obtain a corresponding solution, finally performing component detection on the solution in the test tube, and obtaining corresponding component content by comparing the weighing mass of the food sample so as to obtain detection data;
s5: data processing, namely recording the detected corresponding data according to the numbers respectively, comparing the data with the food safety qualified standard to obtain a detection result, and finally uploading all the data, video shooting materials and the detection result together and recording the data, the video shooting materials and the detection result into a system platform for public display;
s6: and (4) sample treatment, namely labeling and classifying the detected food samples, sealing and storing according to the label data, and finally warehousing.
In the step S2, the basic information of the product should also include manufacturer information, an appearance photograph of the food, and a corresponding sales channel, and the product with the product number should be marked with its number; in the step S3, a 40-mesh sieve should be selected as the vibrating sieve, and the weight difference of each sample after sieving should be kept within ± 5 g; in the step S4, the shaking and stirring time of the test tube is not less than 1min, and no obvious precipitate is observed at the bottom of the test tube visually; in the step S5, when the system platform is entered, the data and videos of each product should be kept corresponding, and classified display is performed, and qualified data standards and standard exceeding values of unqualified products should be disclosed for easy observation and comparison; in the step S6, before the sample is put in storage, labeling should be performed outside the unqualified sample test tube, so as to clearly identify the standard exceeding data information.
The invention relates to a food safety sampling detection method, which comprises the steps of randomly extracting a plurality of products from food to be detected for standby, sequentially numbering and marking the products, scanning a two-dimensional code or a bar code by a mobile phone according to information on a sampled food package, recording basic information of the products, marking the products with the product numbers with the numbers, marking corresponding production date, quality guarantee period and ingredient table information, extracting standby food raw materials, crushing the food raw materials, placing the crushed food into a vibrating screen for screening, selecting a 40-mesh screen by the vibrating screen, weighing and recording food samples after screening, wherein the weight difference of each sample after screening is kept within +/-5 g, then keeping the sample detection under a clear lens of video shooting, injecting a weighed food sample into a detection test tube, injecting a proper amount of liquid into the test tube, then shaking and stirring the test tube for not less than 1min, visually observing that no obvious precipitate exists at the bottom of the test tube to obtain a corresponding solution, finally performing component detection on the solution in the test tube, comparing the weighing quality of the food sample to obtain a corresponding component content so as to obtain detection data, then respectively recording the detected corresponding data according to the serial number, comparing the data with a food safety qualified standard to obtain a detection result, finally uploading all the data, video shooting materials and the detection result into a system platform for displaying, when recording into the system platform, keeping the data and the video of each product corresponding to each other for classified display, and simultaneously displaying the qualified data standard and the standard exceeding numerical value of unqualified products, the food sample detection system is convenient to observe and compare, then labels and classifies the detected food samples, seals and stores the food samples according to label data, and finally stores the food samples in a warehouse, before the samples are stored in the warehouse, the labels are adhered outside unqualified sample test tubes, the data information exceeding the standards is identified clearly, a plurality of food samples are extracted, the basic information of the food is recorded, the detailed data of each batch of food can be recorded effectively, the data and the past information can be traced conveniently, meanwhile, the consumer can inquire the food samples conveniently, all data, video shooting materials and detection results are uploaded to a system platform together for public display, the data information can be effectively reserved, and the consumer can know the food information more comprehensively.
Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that changes, modifications, substitutions and alterations can be made in these embodiments without departing from the principles and spirit of the invention, the scope of which is defined in the appended claims and their equivalents.
Claims (6)
1. A food safety sampling detection method is characterized in that: the method comprises the following steps:
s1: food sample selection, wherein a plurality of products are randomly extracted from the food to be detected for standby, and numbering and marking are sequentially carried out;
s2: basic information is input, two-dimensional codes or bar codes are scanned by a mobile phone according to information on sampled food packages, basic information of products is recorded, and corresponding production date, quality guarantee period and ingredient table information are marked;
s3: crushing and screening, extracting standby food raw materials, then crushing, placing crushed food into a vibrating screen for screening, and finally weighing and recording the screened and extracted food samples;
s4: sample detection, namely keeping the sample detection under a clear lens of video shooting, injecting a weighed food sample into a detection test tube, injecting a proper amount of liquid into the test tube, then shaking and stirring the test tube to obtain a corresponding solution, finally performing component detection on the solution in the test tube, and obtaining corresponding component content by comparing the weighing mass of the food sample so as to obtain detection data;
s5: data processing, namely recording the detected corresponding data according to the numbers respectively, comparing the data with the food safety qualified standard to obtain a detection result, and finally uploading all the data, video shooting materials and the detection result together and recording the data, the video shooting materials and the detection result into a system platform for public display;
s6: and (4) sample treatment, namely labeling and classifying the detected food samples, sealing and storing according to the label data, and finally warehousing.
2. The food safety sampling detection method according to claim 1, characterized in that: in the step S2, the basic information of the product should also include manufacturer information and an appearance photograph of the food and a corresponding sales channel, and the product with the product number should be marked with its number.
3. The food safety sampling detection method according to claim 1, characterized in that: in the step S3, the vibrating screen should be a 40-mesh screen, and the weight difference of each sample after screening should be kept within ± 5 g.
4. The food safety sampling detection method according to claim 1, characterized in that: in the step S4, the shaking and stirring time of the test tube is not less than 1min, and no obvious precipitate is observed at the bottom of the test tube visually.
5. The food safety sampling detection method according to claim 1, characterized in that: in the step S5, when the system platform is entered, the data and videos of each product should be kept corresponding, and classified display is performed, and qualified data standards and standard exceeding values of unqualified products should be disclosed, so as to facilitate observation and comparison.
6. The food safety sampling detection method according to claim 1, characterized in that: in the step S6, before the sample is put in storage, labeling should be performed outside the unqualified sample test tube, so as to clearly identify the standard exceeding data information.
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Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114778874A (en) * | 2022-06-16 | 2022-07-22 | 深圳市汇知科技有限公司 | Food safety detection analysis method and system based on Internet of things |
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| CN111443171A (en) * | 2020-01-18 | 2020-07-24 | 芜湖职业技术学院 | Portable multifunctional food safety detection system |
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2021
- 2021-06-02 CN CN202110612196.XA patent/CN113358433A/en active Pending
Patent Citations (7)
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Application publication date: 20210907 |
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