Laboratory analysis of soluble solids content in sugarcane juice from direct and shredded extraction methods using NIR spectrometer

IF 4.6 2区 农林科学 Q2 CHEMISTRY, APPLIED Journal of Food Composition and Analysis Pub Date : 2024-11-23 DOI:10.1016/j.jfca.2024.107009
Akeme Cyril Njume , Yumika Naomasa , Yoshiaki Shinzato , Muneshi Mitsuoka , Eizo Taira
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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.
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用近红外光谱仪分析直接提取法和粉碎提取法甘蔗汁中可溶性固形物含量
包括农民和糖厂在内的大多数利益相关者都对甘蔗的质量感兴趣,以便为收获季节做计划。然而,不同榨汁方法对果汁品质的影响尚不清楚。虽然个别工厂在收获前测量可溶性固形物含量(SSC)来测量糖含量,但提取方法对测量结果有显著影响。本研究对直接提取法(DEM)和粉碎提取法(SEM)甘蔗汁中的SSC含量进行了测定和比较,并建立了近红外测量法监测果汁中SSC含量的校准模型,为采收规划提供依据。共采集甘蔗样本156份,采用DEM和SEM对甘蔗汁进行提取。光谱数据采用近红外光谱仪(400-2500 nm)采集,并统一划分为校准集和验证集。这些模型是用PLS回归建立的。基于短波和长波的校准模型显示出显著的预测效果,独立样本的RMSEP值分别为0.27°Brix和0.11°Brix, DEM和SEM的偏差分别为0.05°Brix和0.00°Brix。这些结果表明,榨汁方法的选择对基于SSC水平的甘蔗成熟度预测有显著影响。因此,在监测和预测甘蔗收获成熟度时,农民和糖厂应考虑他们的提取方法。
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来源期刊
Journal of Food Composition and Analysis
Journal of Food Composition and Analysis 工程技术-食品科技
CiteScore
6.20
自引率
11.60%
发文量
601
审稿时长
53 days
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.
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