Study on application of near infrared (nir) spectroscopy for sugar cane juice analysis to replace conventional analysis methods

Abstract

Near infrared (NIR) spectroscopy appears as a promises method for faster analysis method in replacement of conventional analysis method. In this work, NIR was used as a replacement for conventional analysis method in sugarcane juice analysis. The cane juice samples for this study were taken from the hydraulic press juice in the core sampler system at Glenmore Sugar Factory. NIR spectroscopy equipment used was FOSS DS 2500. The partial least square regression (PLS) was used to develop calibration model. The NIR results were evaluated from correlation coefficient (r2), low standard error of calibration (SEC) and high ratio of prediction to deviation (RPD). The experimental results show that for %brix analysis: r2 = 0.988, SEP = 0.333, RPD = 5.441and for %pol analysis: r2 = 0.986, SEP = 0.283, and RPD = 6.125. The results have shown a good potential of NIR Spectroscopy for cane juice quality analysis as replacement of conventional analysis methods.

Espectroscopía visible y del infrarrojo cercano para el análisis de nutrientes en tejido vegetal de caña de azúcar para producción de panela

“…; sesgo= -1,076 kg m -3 y error estándar relativo de la predicción (RSEP)= 2,004 %. En otro estudio, Kuswurjanto & Triantarti (2019), evaluaron la aplicación de NIRS para la determinación de % Brix y % Pol, en jugo de caña de azúcar, reportando: r 2 de 0,988 y 0,986, SEP de 0,333 y 0,283 y la desviación predictiva residual (RPD) de 5,441 y 6,125, respectivamente. En jugo de caña, también se ha determinado, con este método, el contenido de algunos nutrientes, como el K, Na, Mg y la relación Na:K, obteniendo una raíz del error cuadrático medio de la predicción (RMSEP) de 27,30; 10,69; 0,57 y 0,03 mg 100 mL -1 y un r 2 de 0,78; 0,89; 0,93 y 0,74, respectivamente (Steidle Neto et al 2017).…”