Quick and label-free aflatoxin B1 detecting method based on silver super-crystal

Abstract

The invention discloses a quick and label-free aflatoxin B1 detecting method based on a silver super-crystal and belongs to the technical field of food monitoring and the like. Firstly, a silver super-crystal surface reinforced Raman substrate of a mesoporous structure is established by supporting silver on an ultra-large-pore mesoporous silica template, a modeling sample surface reinforced Raman spectrum signal is acquired, a density functional theory is adopted to calculate a theoretical Raman spectrum of aflatoxin B1, the calculated theoretical Raman spectrum and the acquired surface reinforced Raman spectrum are compared to conduct characteristic peak attribution on the aflatoxin B1, representative characteristic variables are selected according to the characteristic peak attribution, a multielement correction method is adopted to establish a quantitative relation model about the aflatoxin B1 concentration and a corresponding surface reinforced Raman spectrum variable, and the accuracy and stability of a model are accessed. The method is simple in operation, high in detection speed, higher in precision, good in stability and the like and can achieve large-batch in-situ detection of the aflatoxin B1.

Description

technical field [0001] The present invention introduces a rapid label-free detection method for aflatoxin B1 based on silver supercrystals, and prepares a surface Raman-enhanced substrate of silver supercrystals with ultra-large mesoporous silica as a template to enhance the Raman signal of mycotoxins. Theoretical Raman spectra of mycotoxins were calculated using density functional theory, and the quantitative relationship model between the concentration of mycotoxins and the corresponding Raman spectra was established by data modeling. The method of the invention is simple in operation, fast in detection speed, high in precision, good in stability, etc., and can realize large-scale in-situ detection of mycotoxins. Background technique [0002] Mycotoxins are common microbial toxins in grain foods such as corn and peanuts. They are toxic secondary metabolites produced by fungi growing in food or feed, and have the potential to cause liver cancer, gastric cancer, kidney cance...

AI Technical Summary

Problems solved by technology

At present, conventional detection methods for mycotoxins mainly include biological identification methods, but this method can only be used for qualitative detection, and the specificity is not strong, and the sensitivity is low; chemical analysis method (thin layer chromatography), the precision is poor , it is difficult to apply in practice; instrumental methods (gas chromatography, liquid chromatography, GC-MS, LC-MS), but the pretreatment is complex and the instruments are expensive; immunoassays (enzyme-linked immunosorbent assay, immunofluorescence technique , radioimmunoassay, etc.), but this method has some false positives

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