Carbohydrate Analysis by NIRS-Chemometrics

López, Mercedes G.; García-González, Ana Sarahí; Franco‐Robles, Elena

doi:10.5772/67208

Cited by 23 publications

(23 citation statements)

References 71 publications

(85 reference statements)

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“…The wavelength regions having the largest deviation from zero are the most responsible for score values of the principal components, thus, the assigned peaks indicate the absorptions causing the difference between the sugar solutions. The band assignments are in good harmony with previous findings [14], [15], i.e. peaks in the 1300-1600 nm interval refer to the molecular changes of water caused by the dissolved sugars, while the peaks in the 1600-1850 nm interval represent characteristic C-H bands.…”

Section: Resultssupporting

confidence: 88%

“…The NIR spectral region is found between 800 to 2500 nm (12500-4000 cm −1 ) range, with absorptions representing overtones and combinations which are associated with -CH, -OH, -NH, and -SH functional groups [14]. In the case of glucose, 1st overtone of O-H stretching corresponds to absorption bands at 1195, 1385, 1520, 1590, 1730 nm, 1st overtone of O-H stretching of fructose and sucrose at 1433 nm, and O-H combination band of sucrose, glucose and fructose at 1928 nm [14].…”

Section: Introductionmentioning

confidence: 99%

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Near-infrared spectroscopy: rapid and effective tool for measuring fructose content

Yakubu¹,

Kovács²,

Vitális³

et al. 2021

ÉVIK

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Since high fructose intake was found to be associated with increased health risks, it is important to raise awareness towards the amount of this widely used sugar within foods and beverages. The rapid and accurate detection and quantification of sugar types is not an easy task using conventional laboratory technologies. Near-infrared (NIR) spectroscopy has been proven to be a useful tool in this regard, and the present study highlights the applicability of this rapid correlative analytical technology in the measurement of fructose concentration against that of other sugars in aqueous solutions of sweeteners. The presented NIR calibrations are accurate for the relative measure of °Brix (R2 = 0.84), and the direct measurement of the individual sugars (R2 > 0.90) even in solutions with multiple sugars.

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Section: Resultssupporting

confidence: 88%

Section: Introductionmentioning

confidence: 99%

Near-infrared spectroscopy: rapid and effective tool for measuring fructose content

Yakubu¹,

Kovács²,

Vitális³

et al. 2021

ÉVIK

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“…The wavelengths of combination D (1200, 1400, 1450, 1500 and 1550 nm) correlated strongly with OH and CH2 absorptions. This result is consistent with the NIR absorptions of OH and CH2 that were observed by López et al [24], Aenugu et al [25], Fox et al [26], Rajan et al [27] and Bento et al [28].…”

Section: Correlation Between the Vitamin C Contents Of The Calibratiosupporting

confidence: 92%

Development of Detection System with Low Predictive Errors for Determining Vitamin C Content of Indian Jujube

2019

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Herein, we developed a nondestructive detection system with low prediction errors for determining the vitamin C content in Indian jujube. This system comprises a Ge photodetector, a halogen lamp and five near-infrared (NIR) bandpass filters. The detection of vitamin C is enabled by the absorption of its OH and CH2 bonds in the NIR region. The light beams of our system were parallel-polarized and designed to be incident on the fruit at the Brewster angle (θB), which reduces reflectance noise from the fruit’s skin and enhances the OH and CH2 absorption signals of the fruit’s flesh. After the reflectance signal was analyzed by the partial least squares (PLS) algorithm to obtain the predicted vitamin C content of each fruit, the coefficient of prediction ( r p 2 ) and root-mean-square error of prediction (RMSEP) were calculated. When wavelengths of 1200, 1400, 1450, 1500 and 1550 nm were used for probing, r p 2 and RMSEP of the system detecting vitamin C were 0.84 and 1.65 mg/100 g, respectively. In summary, the vitamin C content of Indian jujube was predicted using a low-cost NIR detection system having a high r p 2 and low RMSEP; further, it comprises five parallel-polarized NIR beams and the PLS algorithm.

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“…Nowadays, NIRS-chemometrics have proven their effectiveness for both qualitative and quantitative carbohydrate analysis, and their use in carbohydrate determination in a variety of raw materials has been well described. [51] Each group of medicinal plant extracts was tightly clustered and well segregated with exception of dandelion samples which were slightly dispersed but still showed good clustering. Significant dispersion of dandelion was may be due to the abundance of all determined compounds in that plant species, which was characterised by the highest carbohydrates content and also a very high protein, amino acids, and total polyphenols content, indicating that the PCA analysis enabled to distinguish this sample from others according to its bioactive quality.…”

Section: Chemometric Analysis Of Nir Spectroscopy Datamentioning

confidence: 94%

Integrated approach for bioactive quality evaluation of medicinal plant extracts using HPLC-DAD, spectrophotometric, near infrared spectroscopy and chemometric techniques

Belščak‐Cvitanović

Valinger

Benković

et al. 2017

International Journal of Food Properties

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To establish a universal analytical tool that could be used as a bioactive quality determination procedure on medicinal plant extracts, a range of spectrophotometric assays, HPLC, near infrared reflectance spectroscopy and chemometric analysis were employed for determination of the bioactive quality of 16 widely spread medicinal plants. Macro-constituents (total carbohydrates, soluble polysaccharides, proteins, amino acids) and secondary plant metabolites (total phenols, flavonoids, hydroxycinnamic acids, flavons, and flavonols) were determined, and HPLC method for the simultaneous determination of phenolic acids and flavonoids was developed, and its linearity, limits of detection and quantification, precision, and accuracy were validated. The evaluated medicinal plant extracts were characterised by a marked protein (marigold-4.22 g/kg dw), amino acid (marigold-61.14 g/kg dw), and carbohydrate content (dandelion-113.5 g/kg dw), while Lamiaceae plants were distinguished as the predominant sources of polyphenolic bioactives (<2.26 g GAE/L). The developed HPLC method enabled separation of 24 polyphenolic compounds within a short analysis time (30 min) and revealed rosmarinic and chicoric acids as the prevalent polyphenolic constituents. NIR spectroscopy coupled with chemometric analysis of all determined analytical parameters indicated the suitability of NIR analysis for amino acids, carbohydrates, and polyphenols determination in medicinal plant extracts.

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Carbohydrate Analysis by NIRS-Chemometrics

Cited by 23 publications

References 71 publications

Near-infrared spectroscopy: rapid and effective tool for measuring fructose content

Near-infrared spectroscopy: rapid and effective tool for measuring fructose content

Development of Detection System with Low Predictive Errors for Determining Vitamin C Content of Indian Jujube

Integrated approach for bioactive quality evaluation of medicinal plant extracts using HPLC-DAD, spectrophotometric, near infrared spectroscopy and chemometric techniques

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