Predicting sugarcane quality using a portable visible near infrared spectrometer and a benchtop near infrared spectrometer

IF 16.4 1区化学 Q1 CHEMISTRY, MULTIDISCIPLINARY

Accounts of Chemical Research Pub Date : 2022-11-30 DOI:10.1177/09670335221136545

Kittipon Aparatana, Yumika Naomasa, Morito Sano, Kenta Watanabe, Muneshi Mitsuoka, M. Ueno, Y. Kawamitsu, E. Taira

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引用次数: 1

Abstract

Sugar quality (Brix and Pol) is the key index to evaluate the value of sugarcane. Hence, a rapid, accurate, and time-efficient method is needed to determine the sugar quality. This study develops a two-point sugarcane quality model that uses a benchtop near infrared (NIR) spectrometer and a portable visible–near infrared (Vis-NIR) spectrometer to measure the sugarcane juice and stalk spectra, respectively. GT two experiments for developing a two-point sugarcane quality model. In the first, a model to calibrate the sugar quality as measured by a polarimeter and refractometer, and also by the benchtop NIR spectrometer. In the second, we developed a model to calibrate the sugar quality predicted from the calibration model developed in the first experiment, by measuring the sugarcane stalk absorption spectra using a portable Vis-NIR spectrometer. The results of the first experiment showed that the standard normal variate (SNV) spectral pretreatment was the most effective method for Brix calibration, with a coefficient of determination of prediction ( r p 2 ) of 0.99 and root mean square error of prediction (RMSEP) of 0.2%. In the case of Pol, second derivatives were the best spectral pretreatment for effective calibration (r2 = 0.99, RMSEP = 0.3%). The results of the second experiment showed that the multiple linear regression model developed using the stalk spectra with the second derivative was the best model for Brix calibration (r2 = 0.70, RMSEP = 1.4%). The second derivative with the SNV pretreatment was best for Pol calibration (r2 = 0.70, RMSEP = 1.4%). Our study showed that a sugar quality regression model can be developed for a portable Vis-NIR spectrometer using the data from the sugar quality predicted by a benchtop NIR spectrometer.

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使用便携式可见近红外光谱仪和台式近红外光谱仪预测甘蔗质量

糖质(糖度和糖度)是评价甘蔗价值的关键指标。因此，需要一种快速、准确、省时的方法来测定糖的质量。本研究建立了一个两点甘蔗质量模型，该模型使用台式近红外光谱仪和便携式可见-近红外光谱仪分别测量甘蔗汁和甘蔗茎的光谱。通过两个试验建立甘蔗两点质量模型。首先，建立了用偏光计、折射计和台式近红外光谱仪对糖的质量进行校准的模型。在第二部分中，我们建立了一个模型，通过使用便携式Vis-NIR光谱仪测量甘蔗茎秆吸收光谱，对第一个实验中建立的校准模型预测的糖品质进行校准。结果表明，标准正态变量(SNV)光谱预处理是Brix校准最有效的方法，预测决定系数(r p 2)为0.99，预测均方根误差(RMSEP)为0.2%。对于Pol，二阶导数是有效校准的最佳光谱预处理(r2 = 0.99, RMSEP = 0.3%)。第2个实验结果表明，利用秸秆光谱二阶导数建立的多元线性回归模型是Brix标定的最佳模型(r2 = 0.70, RMSEP = 1.4%)。SNV预处理的二阶导数最适合Pol校准(r2 = 0.70, RMSEP = 1.4%)。我们的研究表明，利用台式近红外光谱仪预测的糖品质数据，可以建立便携式Vis-NIR光谱仪的糖品质回归模型。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Accounts of Chemical Research 化学-化学综合

CiteScore

31.40

自引率

1.10%

发文量

312

审稿时长

2 months

期刊介绍： Accounts of Chemical Research presents short, concise and critical articles offering easy-to-read overviews of basic research and applications in all areas of chemistry and biochemistry. These short reviews focus on research from the author’s own laboratory and are designed to teach the reader about a research project. In addition, Accounts of Chemical Research publishes commentaries that give an informed opinion on a current research problem. Special Issues online are devoted to a single topic of unusual activity and significance. Accounts of Chemical Research replaces the traditional article abstract with an article "Conspectus." These entries synopsize the research affording the reader a closer look at the content and significance of an article. Through this provision of a more detailed description of the article contents, the Conspectus enhances the article's discoverability by search engines and the exposure for the research.