苹果可溶性固形物含量在线无损检测方法研究OA

[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.