Rapid Detection of Surface Color of Shatian Pomelo Using Vis-NIR Spectrometry for the Identification of Maturity

Abstract

Shatian pomelo is one kind of high-quality fruits grown in south China. Modern agricultural planting technology for Shatian pomelo closely relates to the rapid identification of its maturity. As surface color reflects the maturity of fruits, quantitative determination on the color indices of L*, a*, and b* is significant for maturity judgment. Chemoinformatic models were applied for quantitative detection of L*, a*, and b* for Shatian pomelo, by using visible and near-infrared (Vis-NIR) spectrometry. To enhance the analytical accuracy and model stability, we proposed the combined use of moving window partial least squares (MWPLS) and modified optical path length estimation and correction (MOPLEC) to search for high-signal wavelength combinations, in fully optimizing the modeling parameters. Results indicated that the chemoinformatics that we proposed performed well for nondestructive evaluations of the maturity of Shatian pomelo. This technology is expected to be utilized for quality evaluations of some other agricultural and planting fruits.

Recent advancements in NIR spectroscopy for assessing the quality and safety of horticultural products: A comprehensive review

“…Chen et al ( 70 ) determined Shatian pomelo maturity by correlating color and maturity levels. Rather than conventional preprocessing methods, the multiplicative effect correction (MOPLEC), which corrects the change in optical path length, was used ( 70 ). This technique performed better in comparison to Savitzky-Golay smoothing and increased the signal-to-noise ratio ( 70 ).…”

“…Rather than conventional preprocessing methods, the multiplicative effect correction (MOPLEC), which corrects the change in optical path length, was used ( 70 ). This technique performed better in comparison to Savitzky-Golay smoothing and increased the signal-to-noise ratio ( 70 ). The preprocessing was followed by a moving window partial least square (MWPLS), which found a high signal wavelength combination for PLS modeling ( 70 ).…”

“…This technique performed better in comparison to Savitzky-Golay smoothing and increased the signal-to-noise ratio ( 70 ). The preprocessing was followed by a moving window partial least square (MWPLS), which found a high signal wavelength combination for PLS modeling ( 70 ). MWPLS varies the location and number of adjacent wavelengths to find the optimum combination for PLS modeling ( 70 ).…”

“…The preprocessing was followed by a moving window partial least square (MWPLS), which found a high signal wavelength combination for PLS modeling ( 70 ). MWPLS varies the location and number of adjacent wavelengths to find the optimum combination for PLS modeling ( 70 ). The study compared the raw data, SG- processed, and MOPLEC-processed data and found that Rv was highest for MOPLEC-processed data, showing on-par or better values than SG-processed data ( 70 ).…”

LSSVM Combined with SPA Applied to Near-Infrared Quantitative Determination of the Octane in Fuel Petrol Samples

“…Near Infrared (NIR) spectroscopy is a physical, rapid, non-destructive method to measure the combination and overtone vibration of chemical bonds in molecules, requiring minimal or no sample preparation and, in contrast with traditional chemical analysis, does not require reagents, nor produces wastes [1]. NIR spectroscopy has extensive application in the analytical area of materials, environment, food, and biomedicine [2] [3] [4].…”