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Title: Comparative study on the use of three different near infrared spectroscopy recording methodologies for varietal discrimination of walnuts
Authors: Nogales-Bueno, Julio
Feliz, Luis
Baca-Bocanegra, Berta
Hernandez-Hierro, José Miguel
Heredia, Francisco José
Barroso, João Mota
Rato, Ana Elisa
Editors: Kauffmann, Jean-Michel
Keywords: Near infrared hyperspectral imaging
Discriminant analysis
Portable MicroNIR
Issue Date: 2019
Publisher: Elsevier
Citation: Nogales-Bueno J, Feliz L, Baca-Bocanegra B, et al. Comparative study on the use of three different near infrared spectroscopy recording methodologies for varietal discrimination of walnuts. Talanta. 2020;206:120189. Doi:10.1016/J.TALANTA.2019.120189
Abstract: Walnut fruit (Juglans regia L.) is an internationally well-known product with an important tradition of consumption. Its health benefits and economic importance in the food industry make this nut an interesting research topic. In this feasibility study, 200 walnut samples of 5 different varieties were collected and their near infrared (NIR) spectra were recorded with 3 different devices: a benchtop Fourier transform near infrared (FT-NIR) spectrograph, a dispersive hyperspectral imaging camera and a portable NIR dispersive spectrograph. Discriminant analyses were applied and different methods for the varietal discrimination of walnuts were obtained and compared. Up to 96 and 84% of correct identification were respectively obtained in internal (training set) and external validations. Better results were obtained covering the entire shell surface than collecting a unique random spectrum per sample. Moreover, FT-NIR and hyperspectral tools produced classification models with a lower classification error in internal and external validations than the portable NIR one.
Type: article
Appears in Collections:FIT - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica

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