Department of Chemistry, University of Florence and CSGI, Via della Lastruccia 3, 50019 Sesto Fiorentino, FI, Italy.
BioPren Group, Inorganic Chemistry and Chemical Engineering Department, Faculty of Sciences, University of Cordoba, 14014 Cordoba, Spain.
Biosensors (Basel). 2022 Jan 19;12(2):51. doi: 10.3390/bios12020051.
The efficient and selective detection of volatile organic compounds (VOCs) provides key information for various purposes ranging from the toxicological analysis of indoor/outdoor environments to the diagnosis of diseases or to the investigation of biological processes. In the last decade, different sensors and biosensors providing reliable, rapid, and economic responses in the detection of VOCs have been successfully conceived and applied in numerous practical cases; however, the global necessity of a sustainable development, has driven the design of devices for the detection of VOCs to greener methods. In this review, the most recent and innovative VOC sensors and biosensors with sustainable features are presented. The sensors are grouped into three of the main industrial sectors of daily life, including environmental analysis, highly important for toxicity issues, food packaging tools, especially aimed at avoiding the spoilage of meat and fish, and the diagnosis of diseases, crucial for the early detection of relevant pathological conditions such as cancer and diabetes. The research outcomes presented in the review underly the necessity of preparing sensors with higher efficiency, lower detection limits, improved selectivity, and enhanced sustainable characteristics to fully address the sustainable manufacturing of VOC sensors and biosensors.
高效、选择性地检测挥发性有机化合物（VOCs）可为各种目的提供关键信息，从室内/室外环境的毒理学分析到疾病诊断或生物过程研究等。在过去十年中，已经成功设计并应用了许多不同的传感器和生物传感器，用于可靠、快速、经济地检测 VOCs；然而，全球可持续发展的需求促使人们设计出用于检测 VOCs 的更环保的方法。在这篇综述中，介绍了具有可持续特征的最新和创新的 VOC 传感器和生物传感器。这些传感器被分为日常生活的三个主要工业领域，包括环境分析，这对毒性问题非常重要，食品包装工具，特别是旨在避免肉类和鱼类变质，以及疾病诊断，这对癌症和糖尿病等相关病理状况的早期检测至关重要。综述中呈现的研究成果强调了制备具有更高效率、更低检测限、更高选择性和增强可持续特征的传感器的必要性，以全面解决 VOC 传感器和生物传感器的可持续制造问题。
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