Extraction of fluorescence fingerprint and quality estimation for agricultural products using a fluorescence spectroscopic imaging method with UV-light excitation

2023 Fiscal Year Final Research Report

• Project/Area Number: 21K05853
• Research Category: Grant-in-Aid for Scientific Research (C)
• Allocation Type: Multi-year Fund
• Section: 一般
• Review Section: Basic Section 41040:Agricultural environmental engineering and agricultural information engineering-related
• Research Institution: University of Miyazaki
• Principal Investigator: Kobayashi Taichi 宮崎大学, 研究・産学地域連携推進機構, 准教授 (40541355)
• Project Period (FY): 2021-04-01 – 2024-03-31
• Keywords: 紫外励起 / 蛍光分光画像 / 蛍光指紋 / 品質評価 / 非破壊計測

Outline of Final Research Achievements

To develop a system that measures the agricultural products, we selected a technology that utilizes a fluorescence spectroscopic imaging method with UV-light excitation. The system consists of a blue LED(365nm)　with a low-pass filter, a cooled CMOS camera with an Varispec liquid crystal tunable filter to capture the fluorescence image on a PC, and image processing software for measuring the fluorescence intensity of the image.
Deterioration and/or low temperature injury of stored hebesu advanced as storage period lengthened, and simultaneously the tendency for fluorescence intensity increased, indicating that this system can be used for monitoring low temperature injury of hebesu.

Free Research Field

農業環境工学および農業情報工学関連

Academic Significance and Societal Importance of the Research Achievements

本研究の学術的意義は、蛍光分光計測と画像を一体化した蛍光指紋イメージングにある。これまで蛍光分光光度計を用いて局所的に計測し蛍光分光解析及び蛍光指紋測定によって農産物等の品質評価されてきたものを面として広範囲に検知することが可能となる。また、社会的意義は、これまで以上に多様化する食のサプライチェーンにおいて食の安全・安全性、高品質の担保が可能となる。