Raman Optical Activity and Raman spectroscopy of carbohydrates in solution

Dudek, Monika; Zając, Grzegorz; Szafraniec, Ewelina; Wiercigroch, Ewelina; Tott, Szymon; Malek, Kamilla; Kaczor, Agnieszka; Barańska, Małgorzata

doi:10.1016/j.saa.2018.08.017

Cited by 42 publications

(43 citation statements)

References 59 publications

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“…[6][7][8] For small organic (bio)molecules (peptides, carbohydrates, natural products) the ROA spectra have proven to be substantially more difficult to interpret solely based on empirical data. From the implementation of ROA intensity calculations in density functional theory (DFT) level programs onwards many structural characterization studies of peptides [9][10][11][12][13][14][15][16][17][18][19] and carbohydrates [20][21][22][23][24][25][26] have been published. Consequently, we now have a clear understanding of the spectral response to the conformational variability in peptides and carbohydrates as well as how to best approach these types of systems.…”

Section: Introductionmentioning

confidence: 99%

Paving the way to conformationally unravel complex glycopeptide antibiotics by means of Raman optical activity

et al. 2021

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Section: Introductionmentioning

confidence: 99%

Paving the way to conformationally unravel complex glycopeptide antibiotics by means of Raman optical activity

et al. 2021

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“…1a zoom-in. The Raman shift peaks at 1060 cm -1 and 1125 cm -1 have been widely associated with the CO stretching and COH bonds' bending mode, respectively [21,32]. Spectra after data processing (i.e., background removal and smoothing) in the signature region is presented in Fig.…”

Section: Sensitivity Investigationmentioning

confidence: 99%

Very Selective Detection of Low Physiopathological Glucose Levels by Spontaneous Raman Spectroscopy with Univariate Data Analysis

et al. 2021

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After decades of research on non-invasive glucose monitoring, invasive devices based on finger blood sampling are still the predominant reference for diabetic patients for accurately measuring blood glucose levels. Meanwhile, research continues improving point-of-care technology toward the development of painless and more accurate devices. Raman spectroscopy is well-known as a potentially valuable and painless approach for measuring glucose levels. However, previous Raman studies deal with glucose concentrations that are still order of magnitudes away with respect to human tissues’ physiological concentrations, or they propose enhancement methodologies either invasive or much complex to assure sufficient sensitivity in the physiological range. Instead, this study proposes an alternative non-enhanced Raman spectroscopy approach sensitive to glucose concentrations from 1 to 5 mmol/l, which correspond to the lowest physiopathological glucose level in human blood. Our findings suggest a very selective detection of glucose with respect to other typical metabolites, usually interfering with Raman spectroscopy’s glucose detection. We validate the proposed univariate sensing methodology on glucose solutions mixed with lactate and urea, the two most common molecules found in human serum with concentrations similar to glucose and similar features in the Raman spectra. Our findings clearly illustrate that reliable detection of glucose by Raman spectroscopy is feasible by exploiting the shifted peak at 1125 ± 10 cm–1 within physiopathological ranges.

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“…In detail, the Raman peaks at 747, 855, 941, 1173, 1250, 1300, 1365, 1396, 1444, 1579 and 1657 cm À1 showed distinctive changes in spectral intensity (Table 1). [42][43][44][45][46] Among them, the peaks at 855 and 941 cm À1 are assigned to carbohydrates (red bars); 46,47 the peaks at 1300, 1444 and 1657 cm À1 belong to fatty acids (yellow bars); 45 and the peaks at 747, 1173, and 1365 cm À1 are related to lactic acids, urea, and creatinine, respectively (green bars). [48][49][50][51] Aer comparing the Raman spectra of tumors in the two groups, we found that the intensity ratios of the peaks at 1444 and 1000 cm À1 have a signicant difference.…”

Section: Chemical Sciencementioning

confidence: 99%

Stimulus-responsive surface-enhanced Raman scattering: a “Trojan horse” strategy for precision molecular diagnosis of cancer

et al. 2020

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Raman Optical Activity and Raman spectroscopy of carbohydrates in solution

Cited by 42 publications

References 59 publications

Paving the way to conformationally unravel complex glycopeptide antibiotics by means of Raman optical activity

Paving the way to conformationally unravel complex glycopeptide antibiotics by means of Raman optical activity

Very Selective Detection of Low Physiopathological Glucose Levels by Spontaneous Raman Spectroscopy with Univariate Data Analysis

Stimulus-responsive surface-enhanced Raman scattering: a “Trojan horse” strategy for precision molecular diagnosis of cancer

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