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An origin identification model for labeling of shiitake (*Lentinula edodes*)

Agriculture

An origin identification model for labeling of shiitake (*Lentinula edodes*)

I. Chung, Y. Kim, et al.

This groundbreaking study by III-Min Chung, Yun-Ju Kim, Chang Kwon, Hee-Sung Moon, Jae-Gu Han, Won-Sik Kong, and Seung-Hyun Kim unveils an innovative model using stable isotope ratio analysis to accurately identify the origin of shiitake mushrooms. With an impressive accuracy rate of 93.5%, the research calls for a revision of current labeling systems to promote fair trade and prevent mislabeling in the global market.

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Playback language: English
Abstract
This study addresses the limitations of current origin labeling for non-soil-based agricultural products, focusing on shiitake mushrooms. An origin identification model using stable isotope ratio analysis (SIRA) and discriminant analysis is developed. The model achieves high accuracy (93.5%) in distinguishing between domestic and foreign shiitake mushrooms, with δ¹⁵N being the most significant isotopic marker. The authors conclude that the current origin labeling system needs revision to ensure fair trade and prevent mislabeling in the global shiitake market.
Publisher
npj Science of Food
Published On
Feb 02, 2021
Authors
III-Min Chung, Yun-Ju Kim, Chang Kwon, Hee-Sung Moon, Jae-Gu Han, Won-Sik Kong, Seung-Hyun Kim
Tags
shiitake mushrooms
origin labeling
stable isotope ratio analysis
discriminant analysis
fair trade
mislabeling
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