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Discrimination of citrus infested with Bactrocera dorsalis (Hendel) using an olfactory detection system based on MIPs-QCM sensor array and Bayesian optimized classification algorithms

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成果类型:
期刊论文
作者:
Wen, Tao;He, Weitao;Nie, Qiyi;Gong, Zhongliang;Li, Dapeng;...
通讯作者:
Peng, HL
作者机构:
[He, Weitao; Wen, Tao; Li, Dapeng; Gong, Zhongliang; Wen, Liang; Nie, Qiyi] Cent South Univ Forestry & Technol, Sch Mech & Elect Engn, Changsha 410004, Hunan, Peoples R China.
[Peng, Hailong; Peng, HL] Nanchang Univ, Sch Chem & Chem Engn, Nanchang 330031, Jiangxi, Peoples R China.
通讯机构:
[Peng, HL ] N
Nanchang Univ, Sch Chem & Chem Engn, Nanchang 330031, Jiangxi, Peoples R China.
语种:
英文
关键词:
Bactrocera dorsalis-infested citrus;Molecularly imprinted polymers;Quartz crystal microbalance;Volatile organic compounds;Classification algorithm;Bayesian optimization
期刊:
Sensors and Actuators B-Chemical
ISSN:
0925-4005
年:
2023
卷:
385
页码:
133687
基金类别:
CRediT authorship contribution statement Tao Wen: Conceptualization, acquisition, Project administration. Weitao He: Methodology, Formal analysis, Writing − original draft. Qiyi Nie: Software, Investigation. Zhongliang Gong: Data curation. Dapeng Li: Formal analysis. Liang Wen: Resources. Hailong Peng: Methodology, Supervision.
机构署名:
本校为第一机构
院系归属:
机电工程学院
摘要:
The characteristic substances in citrus volatile organic compounds (VOCs) are associated with the infestation of the Bactrocera dorsalis (Hendel), which provides a noninvasive evaluation method to discriminate infested citrus. This paper developed an olfactory detection system based on a quartz crystal microbalance (QCM) sensor array and classification algorithms to identify the citrus infested with B. dorsalis. Six characteristic substances, including D-limonene, myrcene, alpha-pinene, decanal, linalool, and beta-ocimene, which vary significantly after B. dorsalis infestation were selected as...

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