Advanced Analysis of Roots and Tubers by Hyperspectral Techniques

Wen-Hao Su, Da-Wen Sun

Research output: Chapter in Book/Report/Conference proceedingChapter

4 Scopus citations

Abstract

Hyperspectral techniques in terms of spectroscopy and hyperspectral imaging have become reliable analytical tools to effectively describe quality attributes of roots and tubers (such as potato, sweet potato, cassava, yam, taro, and sugar beet). In addition to the ability for obtaining rapid information about food external or internal defects including sprout, bruise, and hollow heart, and identifying different grades of food quality, such techniques have also been implemented to determine physical properties (such as color, texture, and specific gravity) and chemical constituents (such as protein, vitamins, and carotenoids) in root and tuber products with avoidance of extensive sample preparation. Developments of related quality evaluation systems based on hyperspectral data that determine food quality parameters would bring about economic and technical values to the food industry. Consequently, a comprehensive review of hyperspectral literature is carried out in this chapter. The spectral data acquired, the multivariate statistical methods used, and the main breakthroughs of recent studies on quality determinations of root and tuber products are discussed and summarized. The conclusion elaborates the promise of how hyperspectral techniques can be applied for non-invasive and rapid evaluations of tuber quality properties.

Original languageEnglish
Title of host publicationAdvances in Food and Nutrition Research
Number of pages49
Volume87
DOIs
StatePublished - Jan 27 2019

Bibliographical note

Funding Information:
The authors acknowledge the UCD-CSC Scholarship Scheme supported by the University College Dublin, Ireland, (UCD) and the China Scholarship Council (CSC).

Publisher Copyright:
© 2019 Elsevier Inc.

PubMed: MeSH publication types

  • Journal Article
  • Review

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