Non-destructive detection method for pesticide residues in fruits and vegetables

Abstract

The invention discloses a non-destructive detection method for pesticide residues in fruits and vegetables. Based on an SERS (surface enhanced Raman spectroscopy) technology, various pretreatment methods are adopted and a qualitative model and a quantitative model are built, thus realizing quick and non-destructive detection for the content of the pesticide residues in the fruits and vegetables. The method comprises the following steps: building a differential spectrum data quantitative model for the residual content of deltamethrin on the surface of spinach, and building spectral data quantitative and qualitative model capable of simultaneously detecting three pesticides, namely chlorpyrifos, imidacloprid and malathion, in apples. By the adoption of the high-sensitivity SERS technology, any complicated pretreatment step of preparation of a sample and the like is not needed; due to direct detection of the pesticide residues in the fruits and vegetables or unit-area indirect detection, quick, non-destructive and pollution-free detection for the pesticide residues on the overall surfaces of the fruits and vegetables can be well realized; furthermore, the method is practical and relatively high in accuracy, and can be applied to non-destructive detection and on-site detection for the pesticide residues in other fruits and vegetables.

Description

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AI Technical Summary

Benefits of technology

This patented describes an improved technique called Surface Science Unmanned Spray Testing ("SSUM") for detecting pesticidial residences without damaging crops like peppers. Using this approach involves analyzing spectral patterns generated by sprayed droplets containing pestitives while measuring changes over time caused by these substances. These techniques allow accurate identification of pescence residents even if no known ones exist at all. Additionally, the proposed solution eliminates background noise sources and allows for quicker and nondispersible sampling compared to traditional approaches. Overall, this new technique offers faster and easier way to identify harmful organic compounds in food products.

Problems solved by technology

The technical problem addressed by this patents relates to improving upon currently available techniques such as surface enhancing raman scatter analysis that use laser excitation light sources, including expensive equipment and slow processing times. However, certain new tests require specific samples containing different substances, making it challenges even if they were developed beforehand. This makes it hard to identify all possible harmful ingredients within any given product during production. Therefore, the goal of this patented solution involves developing simpler and less invasively tested procedures while maintaining accuracy and reliability over previous approaches.

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