Effect of changing the melanoidins by decoction on the release of volatiles in Zhenjiang aromatic vinegar

Liu, Zeping; Wang, Chao; Chen, Haiyin; Ren, Xiyue; Li, Wei; Xu, Ning; Zhang, Yi; Wang, Jingyi; Hu, Yong

doi:10.1016/j.foodres.2022.111453

Food Research International

2022

DOI: 10.1016/j.foodres.2022.111453

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Effect of changing the melanoidins by decoction on the release of volatiles in Zhenjiang aromatic vinegar

Zeping Liu

Chao Wang

Haiyin Chen

et al.

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Cited by 7 publications

References 48 publications

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An Artificial Olfactory Chemical‐Resistant Synapse for Training‐Free Gas Recognition

Hu,

Cao,

Han

et al. 2024

Adv Materials Technologies

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Transferring the concept of chemical‐driven responses into artificial intelligence technology holds the key to mimicking olfactory for neuromorphic computing of chemical recognition. Currently, artificial olfactory systems are designed based on chemical sensor arrays. Time‐dependent responses of the sensor arrays are processed by artificial neural networks for recognition. However, the sensors generate instantly volatile responses, and algorithms for the processing of the time‐dependent responses have not been involved. The recognition accuracy and speed are severely impeded. A sensor array can only achieve an accuracy of 90% after at least 5 training epochs. Herein an artificial olfactory chemical‐resistant synapse consisting of 3D hierarchical WO3@WO3 nanofibers are demonstrated. The nanofibers exhibit persistent resistance responses through chemical exposures due to the strong chemisorption of water molecules. Typical synaptic behaviors including paired‐pulse facilitation, long‐term −1 short‐term memory, and learning experience have been achieved. Next, a recurrent neural network that is committed to processing the time‐dependent data is used to identify gas‐phase chemicals of 3‐hydroxy‐2‐butanone, triethylamine, and trimethylamine. Training‐free gas recognition has been realized by a WO3@WO3 nanofiber synapse only, in which the accuracy is above 90% at the first epoch. The results have great potential to satisfy stringent performance requirements on artificial perception systems.

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An Artificial Olfactory Chemical‐Resistant Synapse for Training‐Free Gas Recognition

Hu,

Cao,

Han

et al. 2024

Adv Materials Technologies

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Fruit vinegar as a promising source of natural anti-inflammatory agents: an up-to-date review

Ousaaid,

Bakour,

Laaroussi

et al. 2023

DARU J Pharm Sci

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Comparison of characterization and composition of melanoidins from three different dried apple slices

Hu,

Bi,

Wang

et al. 2024

Food Chemistry

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Effect of changing the melanoidins by decoction on the release of volatiles in Zhenjiang aromatic vinegar

Cited by 7 publications

References 48 publications

An Artificial Olfactory Chemical‐Resistant Synapse for Training‐Free Gas Recognition

An Artificial Olfactory Chemical‐Resistant Synapse for Training‐Free Gas Recognition

Fruit vinegar as a promising source of natural anti-inflammatory agents: an up-to-date review

Comparison of characterization and composition of melanoidins from three different dried apple slices

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