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Sensors 2018, 18(1), 113; doi:10.3390/s18010113

Application of Near Infrared Reflectance Spectroscopy for Rapid and Non-Destructive Discrimination of Hulled Barley, Naked Barley, and Wheat Contaminated with Fusarium

1
Department of Agricultural Engineering, National Institute of Agricultural Sciences, Rural Development Administration, 310 Nongsaengmyeng-ro, Wansan-gu, Jeonju 54875, Korea
2
Microbial Safety Team, National Institute of Agricultural Sciences, Rural Development Administration, 166 Nongsaengmyeong-ro, Iseo-myeon, Wanju-gun 55365, Korea
3
Department of Bioindustrial Machinery Engineering, College of Agriculture & Life Sciences, Chonbuk National University, 567 Baekje-daero, deokjin-gu, Jeonju 54896, Korea
4
Environmental Microbial and Food Safety Laboratory, Agricultural Research Service, US Department of Agriculture, 10300 Baltimore Avenue, Beltsville 20705, MD, USA
*
Author to whom correspondence should be addressed.
Received: 14 October 2017 / Revised: 27 December 2017 / Accepted: 28 December 2017 / Published: 2 January 2018
(This article belongs to the Special Issue Sensors in Agriculture)
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Abstract

Fusarium is a common fungal disease in grains that reduces the yield of barley and wheat. In this study, a near infrared reflectance spectroscopic technique was used with a statistical prediction model to rapidly and non-destructively discriminate grain samples contaminated with Fusarium. Reflectance spectra were acquired from hulled barley, naked barley, and wheat samples contaminated with Fusarium using near infrared reflectance (NIR) spectroscopy with a wavelength range of 1175–2170 nm. After measurement, the samples were cultured in a medium to discriminate contaminated samples. A partial least square discrimination analysis (PLS-DA) prediction model was developed using the acquired reflectance spectra and the culture results. The correct classification rate (CCR) of Fusarium for the hulled barley, naked barley, and wheat samples developed using raw spectra was 98% or higher. The accuracy of discrimination prediction improved when second and third-order derivative pretreatments were applied. The grains contaminated with Fusarium could be rapidly discriminated using spectroscopy technology and a PLS-DA discrimination model, and the potential of the non-destructive discrimination method could be verified. View Full-Text
Keywords: Fusarium; near infrared; discrimination; hulled barely; naked barley; wheat Fusarium; near infrared; discrimination; hulled barely; naked barley; wheat
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MDPI and ACS Style

Lim, J.; Kim, G.; Mo, C.; Oh, K.; Kim, G.; Ham, H.; Kim, S.; Kim, M.S. Application of Near Infrared Reflectance Spectroscopy for Rapid and Non-Destructive Discrimination of Hulled Barley, Naked Barley, and Wheat Contaminated with Fusarium. Sensors 2018, 18, 113.

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