苹果可溶性固形物含量在线无损检测方法研究

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关键词：苹果可溶性固形物；近红外光谱；预测模型；无损检测装置

中图分类号：TS255.7 文献标识码：A 文章编号：1002-204X（2026）03-0028-07

doi：10.3969/j.issn.1002-204x.2026.03.005

ResearchonOnlineNon-DestructiveDetectionMethod forSoluble Solids Content in Apples

Lin Jing 1，2，3 ， Wang Fengzhong 1，2，3* ，Li Long²34，Huang Jie²， Xiao Zhengjie²，Li Hui⁵ （1.College of Food Science，Fujian Agriculture andForestry University，Fuzhou，Fujian350O2;2.East China Agricultural Scienceand TechnologyCenterofSuzhou，Chinese Academyof Agricultural Sciences，Suzhou，Jiangsu 215300;3.InstituteofAgricultural ProductProcessing，ChineseAcademyofAgricultural Sciences，Beijing100193; 4.Weifang InstituteofFood Scienceand Processing Technology，Weifang，Shandong 2611O6; 5.Municipal Undertakings Development Center，Baotou Urban Management Bureau，Baotou，Inner Mongolia 014060）

Abstract [Objective]To achieve precise and rapid detection of the soluble solid content （SSC）of apples and promote the high-qualitydevelopment of theapple industry.[Method]The visible/near-infrared spectroscopy technique was used to measure the soluble solid content of apple samples and their spectral data.Three preprocessing methods （MSC， SNV，and SG） were combined with partial least squares （PLS）and support vector regression （SVR） to construct a prediction model，and diffrent preprocessing and modeling schemes were comparedand evaluated.[Result]The spectral data preprocessed by MSCand SNV had higher predictive ability;the MSC-SVR model performed the best， with a determination coefficient R2 of the prediction set reaching 89.55% and a root mean square error RMSE of 48.88% ，which could effctively realize non-destructive detection of apple soluble solid content.[Conclusion] The developed non-destructive detection device is feasible.

Key Words Apple soluble solid; Near-infrared spectroscopy; Prediction model; Non-destructive detection device

苹果凭借其富含维生素、膳食纤维及多酚类物质的营养特性，长期占据水果市场重要地位。（剩余10613字）