Comparison of Rapid Identification of Irradiated Peanuts Based on Two Near Infrared (NIR) Spectrometers

doi:10.7506/spkx1002-6630-201608038

Abstract

Abstract:

In order to compare the difference in the identification of 60Co γ-ray irradiated peanuts by different near-infrared
(NIR) spectrometers, NIR spectra of peanuts exposed to different dosages of irradiation were collected by Fourier transform
(FT) spectrometer and linear variable filter (LVF) spectrometer, respectively. The spectra were pretreated by the first
derivative and the standard normal variable (SNV), respectively. The partial least square-discriminat analysis (PLS-DA) calibration
models were developed and validated using external validation sets. The results indicated that the accuracy of the LVF-NIR model for
calibration, cross validation and external validation sets were larger than 92%, larger than 85% and larger than 83% respectively,
which were all larger than those of the FT-NIR model. It could be concluded that different data preprocessing methods have less
influence on the model accuracy, while the influence of different NIR spectrometers is significant.

Key words: linear variable filter, Fourier transform, near-infrared spectroscopy, irradiation, peanut

CLC Number:

O657.33

WANG Dong, LI An, JIN Xinxin, MA Zhihong, WANG Jihua, PAN Ligang. Comparison of Rapid Identification of Irradiated Peanuts Based on Two Near Infrared (NIR) Spectrometers[J]. FOOD SCIENCE, doi: 10.7506/spkx1002-6630-201608038.

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Comparison of Rapid Identification of Irradiated Peanuts Based on Two Near Infrared (NIR) Spectrometers

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