{"title":"Laboratory analysis of soluble solids content in sugarcane juice from direct and shredded extraction methods using NIR spectrometer","authors":"Akeme Cyril Njume , Yumika Naomasa , Yoshiaki Shinzato , Muneshi Mitsuoka , Eizo Taira","doi":"10.1016/j.jfca.2024.107009","DOIUrl":null,"url":null,"abstract":"<div><div>Most stakeholders, including farmers and sugar millers, are interested in sugarcane quality to plan for harvesting season. However, the impact of different juice extraction methods on juice quality is not clearly understood. While individual factories measure soluble solids content (SSC) to gauge sugar content before harvest, the extraction method significantly affects the measurement. This study was performed to determine and compare the SSC in sugarcane juice extracted by the direct extraction method (DEM) and shredded extraction method (SEM), and to develop a calibration model to monitor SSC in juice using NIR measurement to support harvest planning. A total of 156 sugarcane samples were collected, and the juice was extracted using both DEM and SEM. Their spectra data were acquired using NIR spectrometer (400–2500 nm) and uniformly divided into calibration and validation sets. The models were developed using PLS regression. Calibration models developed from short and long wavelengths showed significant prediction, with RMSEP values of 0.27 °Brix and 0.11 °Brix for independent samples, and biases of 0.05 °Brix and 0.00 °Brix for DEM and SEM, respectively. These results indicate that the choice of juice extraction methods can significantly influence predictions of sugarcane maturity based on SSC levels. Therefore, farmers and sugar millers should consider their extraction methods when monitoring and predicting sugarcane harvest maturity.</div></div>","PeriodicalId":15867,"journal":{"name":"Journal of Food Composition and Analysis","volume":"138 ","pages":"Article 107009"},"PeriodicalIF":4.0000,"publicationDate":"2024-11-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Food Composition and Analysis","FirstCategoryId":"97","ListUrlMain":"https://www.sciencedirect.com/science/article/pii/S0889157524010433","RegionNum":2,"RegionCategory":"农林科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, APPLIED","Score":null,"Total":0}
引用次数: 0
Abstract
Most stakeholders, including farmers and sugar millers, are interested in sugarcane quality to plan for harvesting season. However, the impact of different juice extraction methods on juice quality is not clearly understood. While individual factories measure soluble solids content (SSC) to gauge sugar content before harvest, the extraction method significantly affects the measurement. This study was performed to determine and compare the SSC in sugarcane juice extracted by the direct extraction method (DEM) and shredded extraction method (SEM), and to develop a calibration model to monitor SSC in juice using NIR measurement to support harvest planning. A total of 156 sugarcane samples were collected, and the juice was extracted using both DEM and SEM. Their spectra data were acquired using NIR spectrometer (400–2500 nm) and uniformly divided into calibration and validation sets. The models were developed using PLS regression. Calibration models developed from short and long wavelengths showed significant prediction, with RMSEP values of 0.27 °Brix and 0.11 °Brix for independent samples, and biases of 0.05 °Brix and 0.00 °Brix for DEM and SEM, respectively. These results indicate that the choice of juice extraction methods can significantly influence predictions of sugarcane maturity based on SSC levels. Therefore, farmers and sugar millers should consider their extraction methods when monitoring and predicting sugarcane harvest maturity.
期刊介绍:
The Journal of Food Composition and Analysis publishes manuscripts on scientific aspects of data on the chemical composition of human foods, with particular emphasis on actual data on composition of foods; analytical methods; studies on the manipulation, storage, distribution and use of food composition data; and studies on the statistics, use and distribution of such data and data systems. The Journal''s basis is nutrient composition, with increasing emphasis on bioactive non-nutrient and anti-nutrient components. Papers must provide sufficient description of the food samples, analytical methods, quality control procedures and statistical treatments of the data to permit the end users of the food composition data to evaluate the appropriateness of such data in their projects.
The Journal does not publish papers on: microbiological compounds; sensory quality; aromatics/volatiles in food and wine; essential oils; organoleptic characteristics of food; physical properties; or clinical papers and pharmacology-related papers.