A rapid label-free detection method for aflatoxin b1 based on silver supercrystals

Abstract

The invention discloses a rapid label-free detection method for aflatoxin B1 based on silver supercrystals, which belongs to the technical field of food monitoring and the like. First, by loading silver on the ultra-large porous mesoporous silica template, a mesoporous silver supercrystal surface-enhanced Raman substrate is constructed, and the surface-enhanced Raman spectrum signal collection of the modeling sample is used to calculate the aflatoxin by density functional theory Theoretical Raman spectrum of B1, compare the calculated theoretical Raman spectrum and the collected surface-enhanced Raman spectrum to assign the characteristic peaks of aflatoxin B1, pre-process the surface-enhanced Raman spectrum, and select representative according to the attribution of characteristic peaks A multivariate correction method was used to establish a quantitative relationship model between the concentration of aflatoxin B1 and the corresponding surface-enhanced Raman spectrum variables, and the accuracy and stability of the model were evaluated. The method is simple in operation, fast in detection speed, high in precision and good in stability, and can realize large-scale in-situ detection of 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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