Analysis of Aflatoxin B1 in Peanut Oil by near Infrared Spectroscopy

Abstract

Aflatoxin is natural highly toxic substances. Aflatoxin B1 is the most common one, and is usually detected in moldy peanut, corn and other foods. In this paper, for the detection of aflatoxin, near-infrared spectroscopy technology was applied, and three preprocessing methods, two characteristic wavelength extraction algorithms and three parameter optimization methods were adopted to establish a variety of models for the quantitative prediction of aflatoxin B1 content in peanut oil. The influences of different spectral preprocessing methods, characteristic wavelength extraction methods, and parameter optimization algorithms on the prediction performances of these models were studied. Additionally, the ways to find an optimal quantitative prediction model and qualitative identification model were explored.