Short-Wave Infrared Hyperspectral Image-Based Quality Grading of Dried Laver (<i>Pyropia</i> spp.).

ABSTRACT: Laver (Pyropia spp.) is a major seaweed that is cultivated and consumed globally. Although quality standards for laver products have been established, traditional physicochemical analyses and sensory evaluations have notable drawbacks regarding rapid-quality inspection. Not all relevant physicochemical quality indices, such as texture, are typically evaluated. Therefore, in this study, we investigated the use of hyperspectral imaging to rapidly, accurately, and objectively determine the quality of dried laver. Hyperspectral images of 25 dried laver samples were captured in the short-wave infrared range from 980 to 2576 nm to assess their moisture, protein content, cutting stress, and other key quality indicators. Spectral signatures were analyzed using partial least-squares discrimi

SUBMITTER: Lee JB 

PROVIDER: S-EPMC11817384 | biostudies-literature | 2025 Feb

REPOSITORIES: biostudies-literature