Pretreatment method for rapidly extracting lead and cadmium in grain sample

By conducting preliminary division and evaluation index prediction of grain samples, dynamically adjusting the processing process, and combining the use of regression network models, the complex and time-consuming treatment process of lead and cadmium extraction in grain samples in the existing technology is solved, and efficient and accurate sample extraction is achieved.

CN119688418AActive Publication Date: 2025-03-25南京微测生物科技有限公司
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Patent Information

Application Number
CN202510200092.6
Authority / Receiving Office
CN · China
Patent Type
Applications(China)
Current Assignee / Owner
Filing Date
2025-02-24
Publication Date
2025-03-25
Estimated Expiration
2045-02-24

AI Technical Summary

Technical Problem

The prior art has problems of operational complexity and workload in the pretreatment process of rapid extraction of lead and cadmium from food samples, especially the need for additional solid-phase extraction column processing steps and homemade extraction column fillers.

Method used

By conducting a preliminary division of the food samples, the evaluation index of the supernatant is predicted, and whether it meets the chelating index is based on the evaluation index, the processing process is dynamically adjusted to avoid unnecessary subsequent processing. Use regression network models to predict evaluation indexes and chelation evaluation coefficients over future time periods to ensure the accuracy of sample neutralization and chelation reactions.

Benefits of technology

It improves the pertinence and consistency of sample extraction, shortens pre-processing time, reduces resource consumption and manual intervention, and realizes the efficiency, accuracy and automation of pre-processing of food samples.

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Abstract

The invention discloses a pretreatment method for rapidly extracting lead and cadmium in a grain sample, and particularly relates to the technical field of sample treatment.The pretreatment method comprises the steps that 1, N smashed grain samples are preliminarily divided, and R sample types are obtained; 2, extracting the crushed grain sample corresponding to the rth sample type to obtain rth supernate; predicting the evaluation index of the rth supernatant in the future time period; r = 1, 2,..., R; according to the sample preliminary classification step based on the homogeneous evaluation coefficient, the scientificity of sample type division is ensured, so that the pertinence and consistency of extraction are improved. And secondly, samples which do not conform to chelation indexes can be identified in an early stage by predicting the evaluation index of the supernatant and combining with a dynamic adjustment judgment mechanism, so that subsequent treatment on invalid samples is avoided, and time and resources are saved.
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