A Novel Nanoscaled Chemo Dye–Based Sensor for the Identification of Volatile Organic Compounds During the Mildewing Process of Stored Wheat

This work presents a novel colorimetric sensor based on nanoscaled chemo dyes which can detect inert volatile organic compounds (VOCs) during the mildewing process of stored wheat. 1-Octen-3-ol and 3-octanone were selected as the marked compounds by gas chromatography mass spectrometry (GC-MS) analy...

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Veröffentlicht in:Food analytical methods 2019-12, Vol.12 (12), p.2895-2907
Hauptverfasser: Lin, Hao, Kang, Wencui, Kutsanedzie, Felix Y. H., Chen, Quansheng
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container_start_page 2895
container_title Food analytical methods
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creator Lin, Hao
Kang, Wencui
Kutsanedzie, Felix Y. H.
Chen, Quansheng
description This work presents a novel colorimetric sensor based on nanoscaled chemo dyes which can detect inert volatile organic compounds (VOCs) during the mildewing process of stored wheat. 1-Octen-3-ol and 3-octanone were selected as the marked compounds by gas chromatography mass spectrometry (GC-MS) analysis. In this work, poly(styrene- co -acrylic acid) microbeads were prepared by soap-free emulsion copolymerisation. Boron-dipyrromethene dyes with PSA were fabricated as a novel sensor to obtain digital data before and after exposure to VOCs, and the correlation coefficients ( R 2 ) between the digital data and the concentration of VOCs were 0.8078 and 0.8324, respectively. And root mean square errors (RMSEs) were 3.05 g L −1 and 1.65 g L −1 , respectively. The data based on the identification of mouldy wheat samples were processed by principal component analysis (PCA) and linear discriminant analysis (LDA). The optimal performance obtained for the LDA model was 83.33% in the prediction set and 90% in the calibration set.
doi_str_mv 10.1007/s12161-019-01617-1
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Methods</stitle><date>2019-12-01</date><risdate>2019</risdate><volume>12</volume><issue>12</issue><spage>2895</spage><epage>2907</epage><pages>2895-2907</pages><issn>1936-9751</issn><eissn>1936-976X</eissn><abstract>This work presents a novel colorimetric sensor based on nanoscaled chemo dyes which can detect inert volatile organic compounds (VOCs) during the mildewing process of stored wheat. 1-Octen-3-ol and 3-octanone were selected as the marked compounds by gas chromatography mass spectrometry (GC-MS) analysis. In this work, poly(styrene- co -acrylic acid) microbeads were prepared by soap-free emulsion copolymerisation. Boron-dipyrromethene dyes with PSA were fabricated as a novel sensor to obtain digital data before and after exposure to VOCs, and the correlation coefficients ( R 2 ) between the digital data and the concentration of VOCs were 0.8078 and 0.8324, respectively. And root mean square errors (RMSEs) were 3.05 g L −1 and 1.65 g L −1 , respectively. 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subjects Acrylic acid
Analytical Chemistry
Boron
Calibration
Chemistry
Chemistry and Materials Science
Chemistry/Food Science
Colorimetry
Copolymerization
Correlation coefficients
Digital data
Discriminant analysis
Dyes
Food Science
Gas chromatography
Mass spectrometry
Mass spectroscopy
Microbiology
Microspheres
Nanoparticles
Organic compounds
Pollutant identification
Polystyrene resins
Principal components analysis
Sensors
Styrene
VOCs
Volatile organic compounds
Wheat
title A Novel Nanoscaled Chemo Dye–Based Sensor for the Identification of Volatile Organic Compounds During the Mildewing Process of Stored Wheat
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