Detection of citronellol in sweetpotato black spot disease using a quartz crystal microbalance (QCM) gas sensor based on Co/Zn-ZIF@MIP composite

IF 4.9 3区农林科学 Q2 FOOD SCIENCE & TECHNOLOGY

Food Quality and Safety Pub Date : 2025-01-01 DOI:10.1093/fqsafe/fyaf029

Xinghua Lu, Suqi Liu, Lu Zhang, Chenglong Wang, Zhenhe Wang, Linjiang Pang, Guoquan Lu, Jiyu Cheng, Mingyi Yang, Le Gao, Wei Chen, Yuge Guan

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Abstract

Abstract Citronellol is a kind of terpene produced by plants in response to external stress; thus can be used as a gas biomarker to detect black spot Ceratocystis fimbriata infection in sweetpotato. However, many contemporary analytical methods, exemplified by gas chromatography-mass spectrometry, are technically demanding, time-consuming, and require complex sample preparation procedures. In this study, a quartz crystal microbalance (QCM)-based gas sensor fabricated via a surface molecular imprinting technique was modified with a Co/Zn-ZIF@MIP composite, in which cobalt–zinc bimetallic ZIF (Co/Zn-ZIF) served as the support material. A linear relationship was observed between the frequency shift and citronellol concentrations ranging from 0.88 to 22 mg/L, with a sensitivity of −6.08 Hz/(mg·L) and a limit of detection (LOD) of 1.35 mg/L. This result indicated that this sensor has excellent selectivity for citronellol and demonstrates high repeatability, as evidenced by R² value of 0.97. In evaluations with real samples, the sensor reliably identified citronellol among the complex volatile organic compounds (VOCs) emitted from black spot-infected sweetpotato, indicating a high level of selectivity. Our research achieved the rapid characterization of sweetpotato black spot disease within 4 min and provided new insights into the development of QCM-based gas sensors for the rapid assessment of agricultural product quality and safety.

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基于Co/Zn-ZIF@MIP复合材料的石英晶体微天平（QCM）气体传感器检测甘薯黑斑病中的香茅醛

香茅醇是植物在外界胁迫下产生的一类萜类物质；因此可以作为检测甘薯黑斑毛角鼻虫感染的气体生物标志物。然而，许多现代分析方法，例如气相色谱-质谱法，技术要求高，耗时，并且需要复杂的样品制备程序。本研究以钴锌双金属ZIF （Co/Zn-ZIF）为支撑材料，用Co/Zn-ZIF@MIP复合材料对表面分子印迹技术制备的石英晶体微平衡（QCM）气敏传感器进行了改性。频率漂移与香茅醇浓度在0.88 ~ 22 mg/L范围内呈线性关系，灵敏度为- 6.08 Hz/(mg·L)，检出限为1.35 mg/L。结果表明，该传感器对香茅醇具有良好的选择性，重复性高，R²值为0.97。在实际样品的评估中，该传感器在黑斑病感染的甘薯释放的复杂挥发性有机化合物（VOCs）中可靠地识别出香茅醇，表明了高选择性。本研究实现了甘薯黑斑病在4 min内的快速鉴定，为开发基于qcm的气体传感器用于农产品质量安全的快速评价提供了新的思路。

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来源期刊

Food Quality and Safety FOOD SCIENCE & TECHNOLOGY-

CiteScore

7.20

自引率

1.80%

发文量

审稿时长

5 weeks

期刊介绍： Food quality and safety are the main targets of investigation in food production. Therefore, reliable paths to detect, identify, quantify, characterize and monitor quality and safety issues occurring in food are of great interest. Food Quality and Safety is an open access, international, peer-reviewed journal providing a platform to highlight emerging and innovative science and technology in the agro-food field, publishing up-to-date research in the areas of food quality and safety, food nutrition and human health. It promotes food and health equity which will consequently promote public health and combat diseases. The journal is an effective channel of communication between food scientists, nutritionists, public health professionals, food producers, food marketers, policy makers, governmental and non-governmental agencies, and others concerned with the food safety, nutrition and public health dimensions. The journal accepts original research articles, review papers, technical reports, case studies, conference reports, and book reviews articles.