Abstract

Brown rice is a main popular health food with high nutritional value and health benefits. As a result of poor post-harvest drying and inappropriate storage conditions, rice grains are often damaged through fungal spoilage as well as mycotoxin production. The objective of this research was to evaluate the possibility of using the near infrared spectroscopy, with a wavenumber range between 12500 and 4000 cm⁻¹ (800–2500 nm), as a rapid method for detection of aflatoxins in brown rice. Firstly, storage trials were carried out to generate representative of samples contaminated and non-contaminated with aflatoxins. These data were used to create a partial least squares regression model using 120 brown rice samples with the required near infrared spectral data and aflatoxin concentration levels that were determined using a standard enzyme-linked immunosorbent assays method. The accuracy of developed models was externally validated using the test set. The statistical model developed from the treated spectra (vector normalization; SNV) provided the best accuracy in prediction with a coefficient of determination of prediction (r²) of 0.95, a root mean square error of prediction of 415.00 µg kg⁻¹ and a bias −54.00 µg kg⁻¹. The model developed showed good predictive performance which suggests that it could have practical applications as a rapid method to detect aflatoxins in brown rice.

© 2019 The Author(s)

Rapid and label free detection of aflatoxin B₁ in alcoholic beverages with a microfluid fiber device

Huifang Chen, Fei Han, Bangning Mao, Ju Gu, Yudi Li, Chunliu Zhao, Yi Wang, Dongning Wang, and Jing Zhan
Appl. Opt. 60(7) 1924-1929 (2021)

Rapid detection of talc content in flour based on near-infrared spectroscopy combined with feature wavelength selection

Changhao Bao, Changhao Zeng, Jinming Liu, and Dongjie Zhang
Appl. Opt. 61(19) 5790-5798 (2022)

Rapid detection of carbon-nitrogen ratio for anaerobic fermentation feedstocks using near-infrared spectroscopy combined with BiPLS and GSA

Jinming Liu, Nan Li, Feng Zhen, Yonghua Xu, Wenzhe Li, and Yong Sun
Appl. Opt. 58(18) 5090-5097 (2019)

Detection of aflatoxin M1 by fiber cavity attenuated phase shift spectroscopy

M. Daniyal Ghauri, Syed Zajif Hussain, Ubaid Ullah, Rana M. Armaghan Ayaz, Rahman Shah Zaib Saleem, Alper Kiraz, and M. Imran Cheema
Opt. Express 29(3) 3873-3881 (2021)

Rapid detection of cellulose and hemicellulose contents of corn stover based on near-infrared spectroscopy combined with chemometrics

Na Wang, Longwei Li, Jinming Liu, Jianfei Shi, Yang Lu, Bo Zhang, Yong Sun, and Wenzhe Li
Appl. Opt. 60(15) 4282-4290 (2021)