Direct Sugar Content Analysis for Whole Stalk Sugarcane Using a Portable near Infrared Instrument

Taira, Eizo; Ueno, Masaki; Saengprachatanarug, Khwantri; Kawamitsu, Yoshinobu

doi:10.1255/jnirs.1064

Cited by 26 publications

(13 citation statements)

References 11 publications

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“…The initial position was randomly selected and the next three positions were performed at approximately 90 , 180 , and 270 rotations from the initial position, respectively. The scanning cross-section and scanning position were similar to those mentioned by Taira et al 12 In order to develop the optimal technique for measuring Pol value, cane samples were scanned in their original state (wax not removed) (Figure 2(a) and after the cane wax was removed (Figure 2(b)). Original samples were scanned at eight different positions, and then cane wax was removed from the cane sample.…”

Section: Nir Scanningmentioning

confidence: 99%

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Effect of waxy material and measurement position of a sugarcane stalk on the rapid determination of Pol value using a portable near infrared instrument

Maraphum

Chuan-Udom

Saengprachatanarug

et al. 2018

Journal of Near Infrared Spectroscopy

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Near infrared spectroscopy can be applied as a rapid and non-destructive method for monitoring sugarcane quality after determining the precision and accuracy of the approach and model to be used for evaluating stems. In this study, near infrared spectroscopy has been applied to breeding management systems and commercial sugar production. Near infrared spectra were collected using a portable near infrared instrument incorporating a wavelength region of 730-1000 nm. To achieve an effective sampling technique, the investigated cane samples included stems with original cane surface and stems with cane wax removed surface. Results revealed that calibrations based on spectra recorded at only 1-position (1-position spectra) of original samples were poor, while calibrations based on stems with wax removed were acceptable for screening with RMSEP values of 1.2%Pol. Also, the 2-position averaged spectra of non-removed wax samples provided fair models, while 4-and 8-position averaged spectra gave good results with R 2 of 0.78-0.82, r 2 of 0.78-0.82, RMSEP of 1.2%Pol to 1.4%Pol and RPD of 2.1 to 2.4, respectively. The calibration model developed from removed-wax samples at positions 1-, 2-, 4-and 8-averaged spectra rendered effective performances with R 2 of 0.73-0.82, r 2 of 0.73-0.84, RMSEP of 1.2%Pol to 1.5%Pol and RPD of 2.1 to 2.5. Outcomes were not different in performance, even if the scanned positions and number of scans differed. Hence, the author concluded that 1-position spectra with removed-wax samples were convenient and suitable for the measurement of cane stalk Pol value.

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Section: Nir Scanningmentioning

confidence: 99%

“…Thus, it is not suitable for recording spectra in the field. Similarly, Taira et al 12 measured Pol levels of sugarcane stalk using a portable NIR instrument (FQA-NIRGUN) in transmittance mode. Outcomes revealed that the varying diameters of sugarcane stalk affected the accuracy.…”

Section: Introductionmentioning

confidence: 99%

Effect of waxy material and measurement position of a sugarcane stalk on the rapid determination of Pol value using a portable near infrared instrument

Maraphum

Chuan-Udom

Saengprachatanarug

et al. 2018

Journal of Near Infrared Spectroscopy

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“…PLSR has also been used to predict dioxin content in fi sh meal samples using GC-FID profi les (BASSOMPIERRE et al, 2007), for the prediction of caffeine and chlorogenic acid content in instant coffee mixtures from IR and NIR spectra (FABIÁN et al, 1994), and for the prediction of adulteration level of caprine and ovine milk with bovine milk from pyrolysis mass spectrometry data (GOODACRE, 1997). Recently, PLSR was applied to develop a NIR based method for rapid prediction of sugar content of sugarcane plants (TAIRA et al, 2013) and for prediction of the adulteration level of butter with margarine using Raman spectroscopy (UYSAL et al, 2013).…”

Section: Partial Least Squares Regression (Plsr)mentioning

confidence: 99%

Trends in the application of chemometrics to foodomics studies

Khakimov¹,

Gürdeniz²,

Engelsen³

2015

Acta Alimentaria

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There is an ever-increasing trend in advanced food analysis and foodomics to use more and more sophisticated analytical platforms that generate large and complex data structures, which in turn require more and more sophisticated data analysis tools for converting data into information. The choice of multivariate chemometric methods is primarily determined by the design of the study, type of the data, and the conclusions sought. In order to validate multivariate models, scientists are required to have basic chemometric knowledge and to be familiar with the variance structure of the investigated data. This review outlines some of the key aspects of applying common chemometric methods used within foodomics and provides selected examples of current applications. The review aims to provide simple insight into various multivariate methods and to illustrate pros and cons of unsupervised and supervised methods. The main analytical platforms used in foodomics are briefl y discussed from the application point of view and the utilization of the generated data is illustrated. In addition, advanced data pre-processing tools, prior to multivariate analysis, are explained and relevant tools are demonstrated.

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“…5,6 Prior to the current study, the authors were able to successfully determine the Pol value by using a portable handheld NIR instrument, which was convenient and suitable when directly analysing the internal quality of the sugarcane stalks. 7,8 However, because the jagged nodes of the sugarcane stalks affect the head of the portable NIR detector, the instrument cannot achieve direct measurements at the nodes and roots of the sugarcane stalks. Moreover, the portable NIR detector cannot be used to visualize the internal properties of sugarcane.…”

Section: Introductionmentioning

confidence: 99%

Spatial mapping of Brix and moisture content in sugarcane stalk using hyperspectral imaging

Maraphum

Saengprachatanarug

Aparatana

et al. 2020

Journal of Near Infrared Spectroscopy

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Hyperspectral imaging is a powerful technique that can rapidly, accurately, and non-destructively determine the quality of agricultural products. In this study, a hyperspectral imaging system has been developed to evaluate and visualize the Brix values and moisture contents in sugarcane stalks to be used as a tool for breeding programmes. After extracting the spectral data via ENVI coding, data in the wavelength range of 450–950 nm were used to generate prediction models for Brix and moisture content via partial least squares regression. The coefficients of determination of the predictive models for Brix and moisture content were found to be 0.70 and 0.68, respectively. The root mean square errors of cross-validation were 1.28° for Brix and 1.49% for moisture content, and the performance to deviation ratios were 1.71 and 1.61, respectively. The models were applied to each pixel of the hypercube data in order to determine the distributions of Brix and moisture content within the sugarcane stalks. Both distribution mappings indicated that the Brix and the moisture content level were lower in the internode regions. The results demonstrated the feasibility of using hyperspectral imaging to visualize Brix and moisture content in sugarcane stalks. The developed method has potential applications in farming management and also in breeding programs.

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Direct Sugar Content Analysis for Whole Stalk Sugarcane Using a Portable near Infrared Instrument

Cited by 26 publications

References 11 publications

Effect of waxy material and measurement position of a sugarcane stalk on the rapid determination of Pol value using a portable near infrared instrument

Effect of waxy material and measurement position of a sugarcane stalk on the rapid determination of Pol value using a portable near infrared instrument

Trends in the application of chemometrics to foodomics studies

Spatial mapping of Brix and moisture content in sugarcane stalk using hyperspectral imaging

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