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基于电子鼻的风化石油衍生产品鉴别方法。

An Electronic Nose Based Method for the Discrimination of Weathered Petroleum-Derived Products.

机构信息

Department of Analytical Chemistry, Faculty of Sciences, IVAGRO, University of Cadiz, 11510 Puerto Real, Cadiz, Spain.

Department of Physical Chemistry, Faculty of Sciences, Institute of Biomolecules (INBIO), University of Cadiz, 11510 Puerto Real, Cadiz, Spain.

出版信息

Sensors (Basel). 2018 Jul 6;18(7):2180. doi: 10.3390/s18072180.

Abstract

In recent years pollution due to hydrocarbon spills has increased markedly as a result of the numerous advances in technologies and industrial processes. Anthropogenic activities (accidental or illegal) are responsible for most of these incidents. In some cases, the spills are not detected at the moment they occur and the contaminants are subjected to different degradation phenomena that may change the chemical composition of the hydrocarbon over time. An incorrect or ineffective identification of the spill could lead to significant consequences, bearing in mind that most spills are hazardous to the environment. In the present work the capacity of the analytical technique based on the Electronic Nose (eNose) combined with chemometrics in the identification and discrimination of different weathered petroleum-derived products (PDPs) was studied. Different volumes (40 μL and 80 μL) of PDPs (gasoline, diesel, and paraffin) were poured onto different supports (wood, cork, paper, and cotton sheet) and subjected to a natural weathering process by evaporation for one month. The porosity of the support was also studied. The application of linear discriminant analysis allowed the full discrimination of the samples according to the presence/absence of PDP and a 97.7% of correct discrimination of the different PDPs regardless of the weathering time, support or volume used. The results show that the system is capable of detecting and discriminating the presence of petroleum-derived products in any of the situations studied.

摘要

近年来,由于技术和工业工艺的众多进步,烃类溢油造成的污染显著增加。人为活动(意外或非法)是这些事件的主要原因。在某些情况下,溢油在发生时未被检测到,污染物会受到不同的降解现象的影响,这些现象可能会随时间改变烃的化学组成。如果溢油的识别不正确或无效,可能会导致严重后果,因为大多数溢油对环境都是有害的。在本工作中,研究了基于电子鼻(eNose)结合化学计量学的分析技术在不同风化石油衍生产品(PDP)的识别和区分中的应用。将不同体积(40 μL 和 80 μL)的 PDP(汽油、柴油和石蜡)倒入不同的载体(木材、软木、纸和棉片)上,并通过蒸发自然风化一个月。还研究了载体的孔隙率。线性判别分析的应用允许根据 PDP 的存在/不存在对样品进行完全区分,并且无论风化时间、载体或使用的体积如何,对不同 PDP 的正确区分率均为 97.7%。结果表明,该系统能够检测和区分所研究的任何情况下石油衍生产品的存在。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/54c1/6068522/e12086870480/sensors-18-02180-g001.jpg

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