宁夏农林科技2026，Vol.67Issue(3)：28-34,75,8.DOI:10.3969/j.issn.1002-204x.2026.03.005
苹果可溶性固形物含量在线无损检测方法研究
Research on Online Non-Destructive Detection Method for Soluble Solids Content in Apples
摘要
Abstract
[Objective]To achieve precise and rapid detection of the soluble solid content(SSC)of apples and promote the high-quality development of the apple 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 different preprocessing and modeling schemes were compared and evaluated.[Result]The spectral data preprocessed by MSC and 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 effectively realize non-destructive detection of apple soluble solid content.[Conclusion]The developed non-destructive detection device is feasible.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Key words
Apple soluble solid/Near-infrared spectroscopy/Prediction model/Non-destructive detection device分类
轻工纺织引用本文复制引用
林静,王凤忠,李龙,黄杰,肖正杰,李卉..苹果可溶性固形物含量在线无损检测方法研究[J].宁夏农林科技,2026,67(3):28-34,75,8.基金项目
潍坊市科学技术发展计划项目(2024ZJ1104)、国家自然科学基金青年科学基金项目(32302217). （2024ZJ1104）
