Simultaneous quantifying and visualizing moisture, ash and protein distribution in sweet potato [Ipomoea batatas (L.) Lam] by NIR hyperspectral imaging

• Main Authors: He, Hong-Ju, Wang, Yuling, Wang, Yangyang, Liu, Hongjie, Zhang, Mian, Ou, Xingqi
• Other Authors: School of Chemistry, Chemical Engineering and Biotechnology
• Format: Article
• Language: English
• Published: 2024
• Subjects: Chemistry; Sweet potato; Moisture
• Online Access: https://hdl.handle.net/10356/173739
• Institution: Nanyang Technological University

This study aimed to achieve the rapid evaluation of moisture, ash and protein of sweet potato simultaneously by near-infrared (NIR) hyperspectral imaging (900-1700 nm). Hyperspectral images of 300 samples for each parameter were acquired and the spectra within images were extracted, averaged and pre...