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暴露组学中基于半导体气体传感器的新型人体生物监测研究:污染场地健康风险调查

A novel human biomonitoring study by semiconductor gas sensors in Exposomics: investigation of health risk in contaminated sites.

作者信息

Longo Valentina, Forleo Angiola, Radogna Antonio Vincenzo, Siciliano Pietro, Notari Tiziana, Pappalardo Sebastiana, Piscopo Marina, Montano Luigi, Capone Simonetta

机构信息

National Research Council of Italy, Institute for Microelectronics and Microsystems (CNR-IMM), Lecce, Italy.

National Research Council of Italy, Institute for Microelectronics and Microsystems (CNR-IMM), Lecce, Italy; Department of Engineering for Innovation, University of Salento, Lecce, Italy.

出版信息

Environ Pollut. 2022 Jul 1;304:119119. doi: 10.1016/j.envpol.2022.119119. Epub 2022 Mar 24.

Abstract

Two areas in central-southern Italy Land of Fires in Campania and Valley of Sacco river in Lazio are known to be contaminated sites, the first due to illegal fly-tipping and toxic fires, and the second due to an intensive industrial exploitation done by no-scruple companies and crooked public administration offices with dramatic consequences for environment and resident people. The work is intended to contribute to Human BioMonitoring (HBM) studies conducted in these areas on healthy young male population by a semiconductor gas sensor array trained by SPME-GC/MS. Human semen, blood and urine were investigated. The fingerprinting of the Volatile Organic Compounds (VOCs) by a gas sensors system allowed to discriminate the different contamination of the two areas and was able to predict the chemical concentration of several VOCs identified by GC/MS.

摘要

意大利中南部的两个地区——坎帕尼亚大区的“火焰之地”以及拉齐奥大区的萨科河谷,被认为是受污染地区。前者是由于非法倾倒垃圾和有毒火灾,后者则是由于一些毫无顾忌的公司和腐败的公共管理部门进行的密集工业开发,给环境和当地居民带来了严重后果。这项工作旨在通过经固相微萃取-气相色谱/质谱(SPME-GC/MS)训练的半导体气体传感器阵列,为在这些地区针对健康年轻男性人群开展的人体生物监测(HBM)研究做出贡献。研究对人类精液、血液和尿液进行了调查。气体传感器系统对挥发性有机化合物(VOCs)的指纹识别能够区分这两个地区的不同污染情况,并能够预测通过气相色谱/质谱(GC/MS)鉴定出的几种挥发性有机化合物的化学浓度。

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