Prediction of Sugarcane Quality from Juice Samples using Portable Spectroscopy

Abstract

Rapid determination of sugarcane quality using low-cost and portable equipment is more practical for field use. Thus, this study explored the potential application of a portable visible and shortwave near infrared spectroradiometer (VNIRS) to predict pol and brix from sugarcane juice samples. A total of 100 sugarcane juice samples for each clear and raw juice samples were assessed. The spectral data were collected by scanning the juice samples in a cuvette with 10 mm path length using transmittance mode. Partial least squares (PLS) and principal component analysis (PCA) were applied to interpret the spectra and develop both calibration and prediction models. The prediction performances for the clear juice samples were good with coefficient of determination (R 2 ) values of pol and brix were 0.85 and 0.84, respectively. For the raw juice samples, the prediction performances were acceptable with R 2 values for pol and brix were 0.73 and 0.74, respectively. Based on these results, it was concluded that the VNIRS combined with PLS models could be applied to predict sugarcane quality from both clear and raw sugarcane juices.

Analysis of Sugarcane Juice Quality Indexes

“…Mat et al [12] explore the potential of spectroscopic method to predict sugarcane quality parameters by directly scanning the internode samples. Nawi et al ( [7,13]) used visible and shortwave near infrared (Vis/SWNIR) spectroscopy to predict soluble solids content and sucrose content from sugarcane juice samples. The overall results indicated that Vis/SWNIR spectroscopy combined with PLS models could be applied to predict sugar content in both clear and raw sugarcane juices.…”

Application of E-nose technique to predict sugarcane syrup quality based on purity and refined sugar percentage

“…In this sense, multiple regression analysis helps us modify the dependent variable when our independent variables are changed. Third, MLR can be applied to predict the future trends and values (Nawi et al, 2014;Zhang et al 2008).…”

“…Most studies have applied spectroscopic methods such as NIR to predict the quality of sugarcane in the sugar industry (Nawi et al 2014;Taira et al 2010). In a study, in order to rapidly determine the quality of sugarcane, the potential use of infrared spectrophotometry as well as visible and near-infrared reflectance spectroscopy (VNIRS) were investigated to predict Pol and Brix of raw and refined syrup samples.…”

“…For raw syrup samples, predictions with values of R 2 for Brix and Pol were 0.74 and 0.73, respectively. Based on these findings, they included that VNIRS along with the PLS model could be employed to predict the quality of both raw and refined syrups (Nawi et al, 2014).…”

Influence of Sugar Industry Wastewater on Sugarcane Juice Quality and Soil Health

“…High fiber (>14%) reduces sugar extraction, and low fiber (<11%) encourages lodging and cane pests. Brix content defines the total soluble solids, dissolved sugars and salts including sucrose, reducing sugars, glucose and fructose present in the cane juice (Nawi et al, 2014). It is indefinite indica-tor of sugar content.…”