Pheomelanin subunit non-destructive quantification by Raman spectroscopy and multivariate curve resolution-alternating least squares (MCR-ALS)

Neves, Ana Carolina de Oliveira; Zougagh, Mohammed; Ríos, Ángel; Tauler, Romà; Wakamatsu, Kazumasa; Galván, Ismael

doi:10.1016/j.chemolab.2021.104406

Cited by 7 publications

(3 citation statements)

References 47 publications

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“…de Oliveira Neves等 [14] 从理论和实验角度研究了多元曲线分辨-交替最小二乘法(MCR-ALS)在定量分析中的应用, 为多元线性回归方法在定量分析领域的应用提供了重要的理论依据. 矩不变量由于其出色的图像描述能力、多分辨性以及矩不变性等特性, 成为图像处理方面的有力工具 [15,16] .…”

Section: 引言unclassified

Application of Tchebichef image moment method for simultaneous quantitative analysis of multiple components in B-vitamins

Yin,

Jiang,

et al. 2024

Sci. Sin.-Chim

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Section: 引言unclassified

Application of Tchebichef image moment method for simultaneous quantitative analysis of multiple components in B-vitamins

Yin,

Jiang,

et al. 2024

Sci. Sin.-Chim

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“…found that there are strong correlations between the spectral Raman characteristics (a partial least squares regression (PLSR) model) and 4-AHP and PTCA levels, which indicates that the Raman spectra of melanins can be used to determine their content [160] (Figure 8). Various studies found consistencies in the shape of the Raman spectra of both natural and synthetic pigments, vertebrate and invertebrate melanins, and melanins from different tissues [160,162,[164][165][166][167][168]. Therefore, Raman spectroscopy has the potential to become a universal tool for analyzing the hitherto elusive melanins.…”

Section: Raman Spectroscopymentioning

confidence: 99%

Recent Advances in Characterization of Melanin Pigments in Biological Samples

Wakamatsu

Ito

2023

IJMS

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The melanin pigments eumelanin (EM) and pheomelanin (PM), which are dark brown to black and yellow to reddish-brown, respectively, are widely found among vertebrates. They are produced in melanocytes in the epidermis, hair follicles, the choroid, the iris, the inner ear, and other tissues. The diversity of colors in animals is mainly caused by the quantity and quality of their melanin, such as by the ratios of EM versus PM. We have developed micro-analytical methods to simultaneously measure EM and PM and used these to study the biochemical and genetic fundamentals of pigmentation. The photoreactivity of melanin has become a major focus of research because of the postulated relevance of EM and PM for the risk of UVA-induced melanoma. Our biochemical methods have found application in many clinical studies on genetic conditions associated with alterations in pigmentation. Recently, besides chemical degradative methods, other methods have been developed for the characterization of melanin, and these are also discussed here.

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“…The spectral information obtained is complex, so multivariate analysis is necessary to unravel complex spectral data from Raman mapping data [ 21 ]. Multivariate curve resolution–alternating least squares (MCR–ALS) is a self-modeling curve resolution method that offers the possibility of extracting physically meaningful spectra associated with pure components from the mixed Raman spectra of real biological samples with the benefit of not requiring prior information about the nature of the sample [ 28 ]. Using MCR–ALS, Mitsutake et al [ 22 ] found that CB and CNO present intermediate miscibility at concentrations of 75% and 25%, respectively, when used in the manufacture of pharmaceutical tablets.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the Miscibility of Novel Cocoa Butter Equivalents by Raman Mapping and Multivariate Curve Resolution–Alternating Least Squares

Castro–Alayo

Torrejón-Valqui

Cayo-Colca

et al. 2021

Foods

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Cocoa butter (CB) is an ingredient traditionally used in the manufacturing of chocolates, but its availability is decreasing due to its scarcity and high cost. For this reason, other vegetable oils, known as cocoa butter equivalents (CBE), are used to replace CB partially or wholly. In the present work, two Peruvian vegetable oils, coconut oil (CNO) and sacha inchi oil (SIO), are proposed as novel CBEs. Confocal Raman microscopy (CRM) was used for the chemical differentiation and polymorphism of these oils with CB based on their Raman spectra. To analyze their miscibility, two types of blends were prepared: CB with CNO, and CB with SIO. Both were prepared at 5 different concentrations (5%, 15%, 25%, 35%, and 45%). Raman mapping was used to obtain the chemical maps of the blends and analyze their miscibility through distribution maps, histograms and relative standard deviation (RSD). These values were obtained with multivariate curve resolution–alternating least squares. The results show that both vegetable oils are miscible with CB at high concentrations: 45% for CNO and 35% for SIO. At low concentrations, their miscibility decreases. This shows that it is possible to consider these vegetable oils as novel CBEs in the manufacturing of chocolates.

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Pheomelanin subunit non-destructive quantification by Raman spectroscopy and multivariate curve resolution-alternating least squares (MCR-ALS)

Cited by 7 publications

References 47 publications

Application of Tchebichef image moment method for simultaneous quantitative analysis of multiple components in B-vitamins

Application of Tchebichef image moment method for simultaneous quantitative analysis of multiple components in B-vitamins

Recent Advances in Characterization of Melanin Pigments in Biological Samples

Evaluation of the Miscibility of Novel Cocoa Butter Equivalents by Raman Mapping and Multivariate Curve Resolution–Alternating Least Squares

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