Detalhes bibliográficos
| Resumo: | 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. |
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| Autores principais: | Nogales-Bueno, Julio |
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| Outros Autores: | Feliz, Luis; Baca-Bocanegra, Berta; Hernandéz-Hierro, José Miguel; Heredia, Francisco José; Mota Barroso, João Manuel; Rato, Ana Elisa |
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| Assunto: | Near infrared hyperspectral imaging Walnuts Chemometrics Discriminant analysis FT-NIRPortable MicroNIR |
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| Ano: | 2023 |
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| País: | Portugal |
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| Tipo de documento: | artigo |
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| Tipo de acesso: | acesso aberto |
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| Instituição associada: | Universidade de Évora |
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| Idioma: | português |
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| Origem: | Repositório Científico da Universidade de Évora |
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