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Updated: Jan 16, 2026
Fruit Volatile Analysis Using an Electronic Nose
Published on: March 30, 2012
Microscopic changes and quantitative prediction of wax content in the peel of Korla fragrant pear at different
Yuanyuan Liu1, Zhengbao Long2, Tongzhao Wang1
1College of Mechanical and Electrical Engineering, Tarim University, Alar 843300, China; Agricultural Engineering Key Laboratory at Universities of Education Department of Xinjiang Uygur Autonomous Region, Tarim University, Alar 843300, China; Production and Construction Corps(XPCC)Key Laboratory of Utilization and Equipment of Special Agricultural and Forestry Products in Southern Xinjiang, Tarim University, Alar 843300, China.
Abstract:
Peel wax of Korla fragrant pears plays a crucial role in preserving shelf life and quality by acting as a protective barrier. This study established a non-destructive method for quantifying epicuticular wax content in Korla fragrant pears by integrating visible and near-infrared (VIS/NIR) spectroscopy with a Crested Porcupine Optimizer-Random Forest (CPO-RF) model. Microstructural analysis indicated progressive densification of the wax layer during fruit maturation, which was strongly correlated with wax accumulation. The optimized CPO-RF model employing multiplicative scatter correction and full-spectrum data achieved superior predictive performance, with a prediction coefficient of determination (Rₚ2) of 0.9468 and a root mean square error of prediction (RMSEₚ) of 0.0301 g/Kg. A feature-wavelength model based on uninformative variable elimination also exhibited excellent results (Rₚ2 of 0.9390, RMSEₚ of 0.0330 g/Kg), demonstrating potential for rapid, intelligent quality assessment and enhanced postharvest management of Korla fragrant pears.
