Age-Dependent Bromelain Enzyme Activity in Pineapple Rhizomes (“Smooth Cayenne” cultivar) Predicted by Fourier-Transform Near-Infrared Spectroscopy
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Abstract
Bromelain is a proteolytic enzyme complex derived from pineapple with extensive medicinal properties. The purpose of this study was to use near-infrared (NIR) spectroscopy to predict bromelain enzyme activity in “Smooth Cayenne” pineapple rhizomes. Samples from 18- and 24-month-old rhizomes were analyzed. A total of 574 NIR spectra (derived from 106 rhizomes, each divided into three anatomical sections and scanned twice) were used to develop the predictive models, with 459 spectra assigned to the calibration set and 115 spectra to the prediction set. NIR spectra were measured with an Fourier-transform NIR spectrometer in diffuse reflection mode at a wavenumber of 11000–4000 cm–1 (909–2500 nm); then, bromelain enzyme activity was measured. A prediction model was established by partial least squares regression and validated by the test set validation method. A calibration equation was used to predict the activity of bromelain enzyme in a prediction set. The results showed bromelain enzyme activity of 0.0328 ± 0.0193 and 0.0293 ± 0.0182 CDU/mL in 18- and 24-month-old pineapple rhizomes, respectively. The calibration equation to predict bromelain enzyme activity based on spectral scanning of the middle of 18-month-old pineapple rhizomes had a correlation coefficient of 0.85, a root mean square error of prediction of 0.0097 CDU/mL, a bias of 0.0036 CDU/mL, and a ratio of prediction to deviation of 1.7. Although the model can be used for screening and predicting the approximate bromelain enzyme activity in 18-month-old pineapple rhizomes, it needs to be improved to provide more accurate predictions.
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