Journal
FOOD CHEMISTRY
Volume 368, Issue -, Pages -Publisher
ELSEVIER SCI LTD
DOI: 10.1016/j.foodchem.2021.130783
Keywords
Colorimetric sensor array; Multivariate analysis; Rice; SPME-GC-MS; Smartphone
Funding
- National Natural Science Foundation of China [31750110458, 31671844, 31601543]
- National Key Technology Research and Development Program of China [2018YFD0400803, 2017YFC1600805, 2017YFC1600806, 2016YFD0401104]
- China Postdoctoral Science Foundation [2017M611736]
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A smartphone-based colorimetric sensor array system was established for discriminating rice varieties based on their geographical origins. By analyzing volatile compounds of rice, the system successfully differentiated rice varieties with 100% discrimination rate using principal component analysis, hierarchical clustering analysis, and k nearest neighbors algorithm.
A smartphone-based colorimetric sensor array system was established for discrimination of rice varieties having different geographical origins. Purposely, aroma profiling of nine rice varieties was performed using solid-phase microextraction gas chromatography-mass spectrometry. Alcohols, aldehydes, alkanes, ketones, heterocyclic compounds, and organic acids represent the abundant compounds. Colorimetric sensor array system produced a characteristic color difference map upon its exposure to volatile compounds of rice. Discrimination of rice varieties was subsequently achieved using principal component analysis, hierarchical clustering analysis, and k nearest neighbors. Rice varieties from same geographical source were clustered together in the scatter plot of principal component analysis and hierarchical clustering analysis dendrogram. The k-nearest neighbors algorithm delivered optimal results with discrimination rate of 100% for both calibration and prediction sets using sensor array system. The smartphone-based colorimetric sensor array system and gas chromatography technique were able to effectively differentiate rice varieties with the advantage of being simple, rapid, and low-cost.
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