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ARS Home » Midwest Area » East Lansing, Michigan » Sugarbeet and Bean Research » Research » Publications at this Location » Publication #416551
Research Project: Automated Technologies for Harvesting and Quality Evaluation of Fruits and Vegetables

Location: Sugarbeet and Bean Research

Title: A review of fluorescence imaging system supported by excitation-emission matrix for fruit and vegetable quality estimation

Author
item HUANG, ZICHEN - Zhejiang University
item SAITO, YOSHITO - Niigata University
item GAO, YOSHITO - Kyoto University
item FIRMANDA AL RIZA, DIMAS - University Of Brawijaya
item Lu, Renfu
item CEN, HAIYAN - Zhejiang University
item KONDO, NAOSHI - Kyoto University
item OMWANGE, KEN ABAMBA - Oak Ridge Institute For Science And Education (ORISE)

Submitted to: Food Control
Publication Type: Review Article
Publication Acceptance Date: 11/18/2024
Publication Date: 11/22/2024
Citation: Huang, Z., Saito, Y., Gao, Y., Firmanda Al Riza, D., Lu, R., Cen, H., Kondo, N., Omwange, K. 2024. A review of fluorescence imaging system supported by excitation-emission matrix for fruit and vegetable quality estimation. Food Control. 169. Article 111040. https://doi.org/10.1016/j.foodcont.2024.111040.
DOI: https://doi.org/10.1016/j.foodcont.2024.111040

Interpretive Summary:

Technical Abstract: A fluorescence imaging system (FIS) supported by the excitation-emission matrix (EEM), has emerged as a powerful tool for the non-destructive assessment of fruit and vegetable quality, offering low costs and good accuracy for various applications. EEM captures the fluorescence spectrum under specific excitation light and the corresponding emission fluorescence, which can be used for optimizing machine vision construction. The FISEEM system can explore and identify naturally occurring bioactive and phytonutrient components whose fluorescent characteristics can be used non-destructively to monitor changes in the quality and maturation of fruits and vegetables. This review provides an in-depth analysis of the principles and methodologies of FIS based on EEM. By offering a comprehensive overview, this paper serves as a valuable reference for designing FIS for assessing fruit and vegetable quality. It also directs challenges and perspectives toward developing highperformance fluorescence imaging systems for research and commercial applications.