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Huang Xiaowei

Researcher at Jiangsu University

Publications -  29
Citations -  870

Huang Xiaowei is an academic researcher from Jiangsu University. The author has contributed to research in topics: Electrode & Nitrogen deficiency. The author has an hindex of 14, co-authored 28 publications receiving 626 citations.

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Colorimetric sensor arrays based on chemo-responsive dyes for food odor visualization

TL;DR: The colorimetric sensor array technology provides a potential odor-image-based monitoring tool for the rapid, reliable and in-line assessment of food safety and quality and offers an exciting method to establish the correlation between the output of a colorimetry sensor array and the odor components, thereby enabling visual quantification of odors.
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Detection of meat-borne trimethylamine based on nanoporous colorimetric sensor arrays.

TL;DR: It is suggested that the nanoporous colorimetric sensor array (NCSA) offers a useful technology for quality evaluation of TMA in meat.
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Discrimination of honeys using colorimetric sensor arrays, sensory analysis and gas chromatography techniques.

TL;DR: Honeys of the same botanical origin were grouped together in the PCA score plot and HCA dendrogram and SPME-GC/MS and colorimetric sensor array were able to discriminate the honeys effectively with the advantages of being rapid, simple and low-cost.
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Rapid detecting total acid content and classifying different types of vinegar based on near infrared spectroscopy and least-squares support vector machine.

TL;DR: This work demonstrated that near infrared spectroscopy technique coupled with LS-SVM could be used as a quality control method for vinegar and showed its excellent generalisation for identification results.
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Nondestructive diagnostics of nitrogen deficiency by cucumber leaf chlorophyll distribution map based on near infrared hyperspectral imaging

TL;DR: In this article, the chlorophyll concentration distribution map of cucumber leaf given by near infrared hyperspectral imaging was used to determine nitrogen deficiency in cucumber plant, where 120 fresh leaves picked from N deficient and control cucumber plants were used to collect and extract the average spectra obtained from the region of interest (ROI) in leaf hypersensor images.