Use of hyperspectral imaging devices for the measurement of small granular samples: Evaluation of grape seed protein concentrates

• Published in: Food science & technology Vol. 192; p. 115738
• Main Authors: Nogales-Bueno, Julio, Rodríguez-Pulido, Francisco José, Heredia, Francisco José, Hernández-Hierro, José Miguel, Baca-Bocanegra, Berta
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 15.01.2024
• Subjects: Chemometrics; Grape seeds; Near infrared hyperspectral imaging; prediction; prices; protein content; quality control; Radiation penetration; Visible spectroscopy; Near infrared hyperspectral imaging; Grape seeds; Visible spectroscopy; Chemometrics; Radiation penetration
• ISSN: 0023-6438; 1096-1127
• DOI: 10.1016/j.lwt.2024.115738

Hyperspectral imaging is a well-known technique for quality control of food and agricultural products. This technique is often applied to the measurement of large and heterogeneous samples, where chemical imaging is extremely useful. In addition, when the amount of sample is limited by different factors (price, other analyses, sample production, etc.) hyperspectral imaging is an alternative to traditional spectroscopes for acquiring its spectral information. In this study, a new and specific methodology to acquire hyperspectral information from small amounts of granular samples has been developed. For this purpose, two different hyperspectral devices (400–1100 nm, 900–1700 nm) have been used. A statistical procedure has been followed to test the proposed method. In grape seed protein concentrates, NIR radiation (900–1700 nm) penetrates deeper into the sample than VisNIR radiation (400–1100 nm). Therefore, the minimum amount of sample needed to measure in the NIR range is larger than that needed to measure in the VisNIR range. Finally, different calibration models have been developed for the control of protein content in the tested samples. Standard errors of prediction obtained in external validation are similar to those reported in the literature when sample amount is not an issue (9–10 %). [Display omitted] •Hyperspectral imaging allows the acquisition of the spectrum of small samples.•A new methodology has been developed to acquire spectra of small granular samples.•NIR penetrates deeper into grape seed protein concentrates than Visible radiation.•The proposed methodology allows for adequate monitoring of proteins in the samples.