{"title":"Microscopic changes and quantitative prediction of wax content in the peel of Korla fragrant pear at different picking maturities","authors":"Yuanyuan Liu, Zhengbao Long, Tongzhao Wang, Zhijuan Zhang, Zhanshuai Dong, Beichen Zhang, Shupeng Dong, Siyu Li","doi":"10.1016/j.foodchem.2025.146556","DOIUrl":null,"url":null,"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 (<span><math><mi is=\"true\" mathvariant=\"italic\">Rₚ</mi><mn is=\"true\">2</mn></math></span>) of 0.9468 and a root mean square error of prediction (<span><math><mi is=\"true\" mathvariant=\"italic\">RMSEₚ</mi></math></span>) of 0.0301 g/Kg. A feature-wavelength model based on uninformative variable elimination also exhibited excellent results (<span><math><mi is=\"true\" mathvariant=\"italic\">Rₚ</mi><mn is=\"true\">2</mn></math></span> of 0.9390, <span><math><mi is=\"true\" mathvariant=\"italic\">RMSEₚ</mi></math></span> of 0.0330 g/Kg), demonstrating potential for rapid, intelligent quality assessment and enhanced postharvest management of Korla fragrant pears.","PeriodicalId":318,"journal":{"name":"Food Chemistry","volume":"93 1","pages":""},"PeriodicalIF":9.8000,"publicationDate":"2025-09-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Food Chemistry","FirstCategoryId":"97","ListUrlMain":"https://doi.org/10.1016/j.foodchem.2025.146556","RegionNum":1,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
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 () of 0.9468 and a root mean square error of prediction () of 0.0301 g/Kg. A feature-wavelength model based on uninformative variable elimination also exhibited excellent results ( of 0.9390, of 0.0330 g/Kg), demonstrating potential for rapid, intelligent quality assessment and enhanced postharvest management of Korla fragrant pears.
期刊介绍:
Food Chemistry publishes original research papers dealing with the advancement of the chemistry and biochemistry of foods or the analytical methods/ approach used. All papers should focus on the novelty of the research carried out.