Application of near infrared spectroscopy with fiber optics for detecting interior quality in peaches

摘要

Fourier transform near infrared (FT-NIR) spectroscopy was tested as a non-destructive method to assess the sugar content (SC) and the valid acidity of intact peaches. Calibration models were created from spectral and constituent measurements. Data recorded from two sides of individual peach served as the calibration and the validation sets. Partial least squares (PLS) technique used to develop the prediction models by different data preprocessing. The best model for SC had a high correlation efficient (0.956), a low SEP (0.532), a low SEC (0.542), a SDR value of 3.34(>3.00), and also a small difference between SEP and SEC. The best model for valid acidity had a high correlation coefficient (0.948), a relatively low SEP (0.129), a relatively low SEC (0.124) and a SDR value of 2.68 (<3.00), and also a small difference between SEC and SEP. The results of this study suggest that FT-NIR method can be feasible to detect sugar content rapidly. However, the low acid content in the fruit might have caused the relative insensitivity for prediction valid acidity. Further work is required to optimize and implement this technique.