Abstract
This study used Fourier transform-near-infrared (FT-NIR) spectroscopy equipped with the liquid probe in combination with an efficient wavelength selection method named searching combination moving window partial least squares (SCMWPLS) for the determination of ethanol, total soluble solids, total acidity, and total volatile acid contents in pineapple fruit wine fermentation using Saccharomyces cerevisiae var. burgundy. Two fermentation batches were produced, and the NIR spectral data of the calibration samples in the wavenumber range of 11,536–3952 cm−1 were obtained over ten days of the fermentation period. SCMWPLS coupled with second derivatives searched and optimized spectral intervals containing useful information for building calibration models of four parameters. All models were validated by test samples obtained from an independent fermentation batch. The SCMWPLS models showed better predictions (the lowest value of prediction error and the highest value of residual predictive deviation) with acceptable statistical results (under confidence limits) among the results achieved by using the whole region. The results of this study demonstrated that FT-NIR spectroscopy using a liquid probe coupled with SCMWPLS could select the optimized wavelength regions while reducing spectral points and increasing accuracy for simultaneously monitoring the evolution of four chemical parameters in pineapple fruit wine fermentation.
Highlights
Introduction published maps and institutional affilPineapple (Ananas comosus L.) originates from South America and is one of the most favoured subtropical fruits cultivated and consumed worldwide
The results of present study demonstrated the potential of NIR spectroscopy coupling with searching combination moving window partial least squares (SCMWPLS) to enhance the predictive performance of NIR calibration models for simultaneously monitoring the changes in ethanol, total soluble solids, total acidity, and total volatile acids in pineapple fruit wine during the fermentation process
Could select and optimize informative spectral regions from the second derivative spectra of very complicated mixtures such as wine obtained by the Fourier transform-near-infrared (FT-NIR) fibre optic probe
Summary
Pineapple (Ananas comosus L.) originates from South America and is one of the most favoured subtropical fruits cultivated (above 20% of the tropical fruit generated in the world) and consumed worldwide. It is a drought-tolerant plant with good taste [1]. In. Thailand, pineapple wine is popularly consumed because of its unique taste, colour, and flavour. The consumption trend of wine made from pineapple and other fruits is likely to increase, especially among health-conscious consumers, because fruit wines are nutritious and healthy [4,5]
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