Machine Learning Unveils Potential Taste Biomarkers Associated with Energy Status in Shiitake Mushrooms During Spore Release

https://hdl.handle.net/10779/DRO/DU:28899710

journal contribution

posted on 2025-09-01, 06:22 authored by R Xia, H Xu, H Ren, Hafiz SuleriaHafiz Suleria, Y Qiao, Z Hou, Y Li, Y Wang, S Pan, G Xin

Machine Learning Unveils Potential Taste Biomarkers Associated with Energy Status in Shiitake Mushrooms During Spore Release

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Related Materials

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DOI - Is version of https://doi.org/10.1007/s11947-025-03825-6

Location

London, Eng.

Open access

No

Language

eng

Publication classification

C1.1 Refereed article in a scholarly journal

Journal

Food and Bioprocess Technology

Volume

18

Pagination

6392-6405

ISSN

1935-5130

eISSN

1935-5149

Publisher

Springer

Publication URL

https://doi.org/10.1007/s11947-025-03825-6

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Categories

Keywords

AGARICUS-BISPORUS Energy status Food Science & Technology Life Sciences & Biomedicine Machine learning QUALITY Science & Technology Shiitake mushrooms Spore release Taste biomarkers UMAMI TASTE

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All Rights Reserved

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