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使用电子鼻结合校准模型监测正丁醇蒸气生物过滤过程。

Monitoring of -butanol vapors biofiltration process using an electronic nose combined with calibration models.

作者信息

Szulczyński Bartosz, Rybarczyk Piotr, Gębicki Jacek

机构信息

Department of Chemical and Process Engineering, Faculty of Chemistry, Gdańsk University of Technology, Gdańsk, Poland.

出版信息

Monatsh Chem. 2018;149(9):1693-1699. doi: 10.1007/s00706-018-2243-6. Epub 2018 Aug 10.

Abstract

ABSTRACT

Malodorous odors, by definition, are unpleasant, irritating smells being a mixture of volatile chemical compounds that can be sensed at low concentrations. Due to the increasing problem of odor nuisance associated with odor sensations, and thus the need to remove them from the air, deodorization techniques are commonly used. Biofiltration is one of the methods of reducing odorants in the air stream. In the paper, the possibility of using an electronic nose as an alternative method to gas chromatography for the online monitoring and evaluation of efficiency of the -butanol vapors biofiltration process in a transient state was investigated. Three calibration models were used in the research, i.e., multiple linear regression, principal component regression, and partial least-square regression. The obtained results were compared with the theoretical values.

摘要

摘要

根据定义,恶臭气味是令人不快、具有刺激性的气味,是挥发性化合物的混合物,在低浓度下即可被感知。由于与气味感觉相关的气味滋扰问题日益严重,因此需要从空气中去除这些气味,除臭技术被广泛应用。生物过滤是减少气流中气味物质的方法之一。本文研究了使用电子鼻作为气相色谱法的替代方法,对正丁醇蒸汽生物过滤过程在瞬态下的效率进行在线监测和评估的可能性。研究中使用了三种校准模型,即多元线性回归、主成分回归和偏最小二乘回归。将所得结果与理论值进行了比较。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4462/6105205/f6b7f8fb059b/706_2018_2243_Fig1_HTML.jpg

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