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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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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 (R2) 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.

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Funding

This work was financially supported by the Foundation for the Innovation Fund Designated for Graduate Students of Jiangsu Province (Project No. SJCX17-0581), the National Key Technology R&D Program of China (Grant Nos. 2016YFD0401205-3 and 2017YFC1600603) and the China Postdoctoral Natural Science Foundation (20166M601746).

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Correspondence to Hao Lin.

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Hao Lin declares that he has no potential conflict of interest. Wencui Kang declares that he has no potential conflict of interest. Felix Y. H. Kutsanedzie declares that he has no potential conflict of interest. Quansheng Chen declares that he has no potential conflict of interest.

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Lin, H., Kang, W., Kutsanedzie, F.Y.H. et al. A Novel Nanoscaled Chemo Dye–Based Sensor for the Identification of Volatile Organic Compounds During the Mildewing Process of Stored Wheat. Food Anal. Methods 12, 2895–2907 (2019). https://doi.org/10.1007/s12161-019-01617-1

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