Article ID | Journal | Published Year | Pages | File Type |
---|---|---|---|---|
5136977 | Journal of Food Composition and Analysis | 2017 | 6 Pages |
â¢Control quality of cashew apple and guava nectar is possible using NIR.â¢NIR is an environmental friendly method that demands no sample preparation.â¢Good parameter of RMSEP was determined in PLS models to quality control of nectars.â¢Ascorbic acid is detected by NIR.
Near infrared (NIR) spectroscopy along with multivariate calibration was used for quality control of cashew apple and guava nectars. Total acidity, total sugars, soluble solids, pH, and ascorbic acid contents were analyzed by traditional wet chemical methodologies and NIR. The spectral data were preprocessed with multiplicative scatter correction, mean center and first derivative (Savitsky-Golay). The models presented adequate standard errors of calibration (root mean square error of calibration - RMSEC) and prediction (root mean square error of prediction - RMSEP), respectively, to cashew apple nectar (acidity = 0.022% and 0.025%, total sugars = 0.58% and 0.60%, pH = 0.068 and 0.123, ascorbic acid = 4.61 mg/100 g and 4.80 mg/100 g), and to guava nectar (acidity = 0.019% and 0.024%, total sugars = 0.297% and 0.315%, soluble solids = 0.242 and 0.301 °Brix, pH = 0.063 and 0.107, ascorbic acid = 6.41 mg/100 g and 7.44 mg/100 g). Results showed that replacement of traditional methodology by NIR can be viable and recommended since it is a fast, green, easy-to-handle, safe technique, able to process many samples, and parameters in a short time.
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