Guo, Y.; Zhao, J.; Wei, H.; Gao, Q.; Song, S.; Fan, Y.; Yan, D.; Liu, Y.; Wang, S. Disentangling the Tissue-Specific Variations of Volatile Flavor Profiles of the Lentinula edodes Fruiting Body. Foods2024, 13, 86.
Guo, Y.; Zhao, J.; Wei, H.; Gao, Q.; Song, S.; Fan, Y.; Yan, D.; Liu, Y.; Wang, S. Disentangling the Tissue-Specific Variations of Volatile Flavor Profiles of the Lentinula edodes Fruiting Body. Foods 2024, 13, 86.
Guo, Y.; Zhao, J.; Wei, H.; Gao, Q.; Song, S.; Fan, Y.; Yan, D.; Liu, Y.; Wang, S. Disentangling the Tissue-Specific Variations of Volatile Flavor Profiles of the Lentinula edodes Fruiting Body. Foods2024, 13, 86.
Guo, Y.; Zhao, J.; Wei, H.; Gao, Q.; Song, S.; Fan, Y.; Yan, D.; Liu, Y.; Wang, S. Disentangling the Tissue-Specific Variations of Volatile Flavor Profiles of the Lentinula edodes Fruiting Body. Foods 2024, 13, 86.
Abstract
For Lentinula edodes, its characteristic flavor is the key determinant for consumer pref-erences. However, the tissue-specific volatile flavor variations of the fruiting body have been overlooked. Here, we comprehensively investigated volatile flavor profiles of different tissues including the pileus skin, context, gill and stipe of the fruiting body of two widely cultivated L. edodes strains (T2 and 0912). We show that the eight-carbon and sulfur com-pounds, which represented 43.2-78.0% and 1.4-42.9% to the total volatile emissions for strain 0912 and T2, dominated their volatiles profiles. The sulfur compounds could rep-resent 32.2% and 42.9% to the total volatile emissions for the context of the strain 0912 and T2, respectively, whereas only represented 1.4% for the stipes of the strain 0912 and 9.0% for the skin of strain T2. Proportions of the predominant C8 compounds (1-Octen-3-one, 1-Octen-3-ol and 3-Octanone) and sulfur compounds (Lenthionine, 1,2,4-Trithiolane, Di-methyl disulfide and Dimethyl trisurfide) changed depending on tissues and strains. We further reveal that the overall volatile flavor profiles varied greatly in different tissues and strains. With machine learning algorithm, we show that volatile profiles could 100% pre-dict strains 0912 and T2. The prediction accuracy for different tissues could also reach 100%. Our results highlight the tissue-specific volatile flavor variations of the L. edodes fruiting body.
Biology and Life Sciences, Food Science and Technology
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