Feasibility of detecting Aflatoxin B1 in single maize kernels using hyperspectral imaging

By Xinzhi Ni, K. Lawrence, S. Yoon, G. Heitschmidt, P. Feldner. 2015

61 citations recorded by the source corpus.

Abstract The feasibility of detecting Aflatoxin B1 (AFB1) in single maize kernel inoculated with Aspergillus flavus conidia in the field, as well as its spatial distribution in the kernels, was assessed using near-infrared hyperspectral imaging (HSI) technique. Firstly, an image mask was applied to a pixel-based image mosaic to remove background and shading. Secondly, bad lines in spectra imaging caused by inherent defects of Mercury Cadmium Telluride (MCT) detector were removed through an interactive analysis based on principal component analysis (PCA). Then a PCA procedure was carried out again on the cleaned image, key wavelengths such as 1729 and 2344 nm were shown clearly from the loading line plot of the seventh principal component (PC7). And the pixel of AFB1 extracted from the 5-dimensional scatter plot space formed by five principal components (PCs) from PC4 to PC8 (especially PC7 and PC5) were taken as the input of the spectral angle mapper (SAM) classifier, accuracies of the three varieties of kernels reached 96.15%, 80%, and 82.61% respectively if kernels containing either high (⩾100 ppb) or low (

Subfields: Analytical Chemistry, Biophysics, Plant Science

View Paper: https://www.semanticscholar.org/paper/5c49b5c1f33fef5f2442b8285bfacf744c100d96

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Analytical Chemistry

  1. Wei Wang
  2. Xinzhi Ni

In Biophysics

  1. Wei Wang
  2. Xinzhi Ni

In Plant Science

  1. Wei Wang

Citations in the corpus