Cargando…

Comparison Performance of Visible-NIR and Near-Infrared Hyperspectral Imaging for Prediction of Nutritional Quality of Goji Berry (Lycium barbarum L.)

The potential of hyperspectral imaging for the prediction of the internal composition of goji berries was investigated. The prediction performances of models obtained in the Visible-Near Infrared (VIS-NIR) (400–1000 nm) and in the Near Infrared (NIR) (900–1700 nm) regions were compared. Analyzed con...

Descripción completa

Detalles Bibliográficos
Autores principales: Fatchurrahman, Danial, Nosrati, Mojtaba, Amodio, Maria Luisa, Chaudhry, Muhammad Mudassir Arif, de Chiara, Maria Lucia Valeria, Mastrandrea, Leonarda, Colelli, Giancarlo
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8306078/
https://www.ncbi.nlm.nih.gov/pubmed/34359546
http://dx.doi.org/10.3390/foods10071676
Descripción
Sumario:The potential of hyperspectral imaging for the prediction of the internal composition of goji berries was investigated. The prediction performances of models obtained in the Visible-Near Infrared (VIS-NIR) (400–1000 nm) and in the Near Infrared (NIR) (900–1700 nm) regions were compared. Analyzed constituents included Vitamin C, total antioxidant, phenols, anthocyanin, soluble solids content (SSC), and total acidity (TA). For vitamin C and AA, partial least square regression (PLSR) combined with different data pretreatments and wavelength selection resulted in a satisfactory prediction in the NIR region obtaining the R(2)(pred) value of 0.91. As for phenols, SSC, and TA, a better performance was obtained in the VIS-NIR region yielding the R(2)(pred) values of 0.62, 0.94, and 0.84, respectively. However, the prediction of total antioxidant and anthocyanin content did not give satisfactory results. Conclusively, hyperspectral imaging can be a useful tool for the prediction of the main constituents of the goji berry (Lycium barbarum L.).