A method for the detection of organophosphorus pesticide residues based on a smartphone-readable barcode pattern

Abstract

The invention relates to an organophosphorus pesticide residue detection method based on a readable bar code type pattern of a smart phone. The method comprises the following steps: preparing an organophosphorus pesticide residue channel; printing and manufacturing a 39 code+code; adding a pesticide residue quick detection reagent into the organophosphorus pesticide residue channel; scanning a bar code to obtain a scanning result by using the smart phone; scanning the bar code to screen shot to obtain number picture of the scanning region for colorimetric analysis. Based on the readable bar code type pattern of the smart phone, the smart phone and a one-dimensional bar code are applied to quantitative and qualitative detection of biological and chemical molecules. As the widely applied smart phone is used for detecting and phone bar code scanning software and mobile phone image analyzing software can be downloaded freely from the Internet, the method has the remarkable advantages of quick detection speed, low cost and easiness in popularization.

Description

technical field [0001] The invention relates to a rapid detection method of organophosphorus pesticide residues, specifically, adding a detection solution of organophosphorus pesticide residues into a microchannel made of polycarbonate (PC) and polydimethylsiloxane (PDMS), Then put the microchannel in the detection area of ​​39 codes "+", scan the "biological barcode" with the barcode scanning software on the smartphone, take a screenshot to obtain the barcode digital picture of the working area, and finally analyze the digital picture detection area The Y value is used to realize the quantitative analysis of the detection of organophosphorus pesticide residues. Background technique [0002] With the increasingly powerful functions and widespread popularization of smartphones, instant medical diagnosis technology based on smartphones has attracted extensive attention and research. Ozcan and others added a microscopic system to the mobile phone to transform the mobile phone ...

AI Technical Summary

Problems solved by technology

[0009] The specific technical problem to be solved by the present invention is that the existing rapid detection colorimetric method for pesticide residues can only carry out semi-quantitative detection, and there are many false positive results, while the rapid quantitative detection method requires a professional spectrometer, and the detection cost is high, which is not conducive to Disadvantages of promotion

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