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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|
Hernandez-Hierro, José Miguel
Heredia, Francisco José
Barroso, João Mota
Rato, Ana Elisa
|Editors: ||Kauffmann, Jean-Michel|
|Keywords: ||Near infrared hyperspectral imaging|
|Issue Date: ||2019|
|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
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
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.|
|Appears in Collections:||FIT - Publicações - Artigos em Revistas Internacionais Com Arbitragem Científica|
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