Challenges in application of Raman spectroscopy to biology and materials

Kuhar, Nikki; Sil, Shreekantha; Verma, Taru; Umapathy, Siva

doi:10.1039/c8ra04491k

Cited by 224 publications

(155 citation statements)

References 153 publications

(175 reference statements)

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“…Amide III vibrations attributed to β-sheet and α-helix conformation in proteins are highly associated to cancer [20][21][22]; as well as DNA methylation, which is an enzyme-induced chemical modification to the DNA structure where a methyl group is covalently bonded to the cytosine base, and abnormalities in this phenomenon are related to carcinogenesis [23]. Shifts in the Amide I peak are known to be associated with transformation to cancer due to alterations in protein backbone conformation [24]. Berger et al [25] initially introduced the idea that Raman had potential for the analysis of biofluids.…”

Section: Discussionmentioning

confidence: 99%

Raman spectral discrimination in human liquid biopsies of oesophageal transformation to adenocarcinoma

Maitra

Morais

Lima

et al. 2019

Journal of Biophotonics

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The aim of this study was to determine whether Raman spectroscopy combined with chemometric analysis can be applied to interrogate biofluids (plasma, serum, saliva and urine) towards detecting oesophageal stages through to oesophageal adenocarcinoma [normal/squamous epithelium, inflammatory, Barrett's, low‐grade dysplasia, high‐grade dysplasia and oesophageal adenocarcinoma (OAC)]. The chemometric analysis of the spectral data was performed using principal component analysis, successive projections algorithm or genetic algorithm (GA) followed by quadratic discriminant analysis (QDA). The genetic algorithm quadratic discriminant analysis (GA‐QDA) model using a few selected wavenumbers for saliva and urine samples achieved 100% classification for all classes. For plasma and serum, the GA‐QDA model achieved excellent accuracy in all oesophageal stages (>90%). The main GA‐QDA features responsible for sample discrimination were: 1012 cm−1 (C─O stretching of ribose), 1336 cm−1 (Amide III and CH2 wagging vibrations from glycine backbone), 1450 cm−1 (methylene deformation) and 1660 cm−1 (Amide I). The results of this study are promising and support the concept that Raman on biofluids may become a useful and objective diagnostic tool to identify oesophageal disease stages from squamous epithelium to OAC.

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Section: Discussionmentioning

confidence: 99%

Raman spectral discrimination in human liquid biopsies of oesophageal transformation to adenocarcinoma

Maitra

Morais

Lima

et al. 2019

Journal of Biophotonics

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“…The specic materials represented by the corresponding peaks are shown in Table 1. 37,38,[41][42][43] This indicates that the Raman resonances of proteins were stronger than those of lipids and carbohydrates in Bacillus. Due to the small difference in Raman spectroscopy, a more detailed analysis was required with the aid of mathematical analysis.…”

Section: Raman Spectroscopy Of C10 Cultured In Ceazidimementioning

confidence: 97%

“…However, at site 2 (Fig. 3), the characteristic peak positions were mainly at 1002 cm À1 , 1127 cm À1 , and 1585 cm À1 , which were assigned to phenylalanine 36,37 or oxidized cytochrome bc1, 38 and ferrous heme, 38 correspondingly. Both of the characteristic peaks corresponded to the composition of protein, thus, the location of site 2 might be the cytoplasm.…”

Section: Raman Spectroscopy Of Single-bacterial and Multi-bacterial Smentioning

confidence: 99%

“…The peak at 1172 cm À1 was obviously decreased in response to ceazidime. The peak at 1172 cm À1 was assigned to stretching vibration of C-C and P-O of lipids of lipids, 37,42,43 which is the key composition of the cell membrane. 44 The obvious decrease of lipids in Bacillus might be related to the cell membrane damage.…”

Section: Raman Spectroscopy Of C10 Cultured In Ceazidimementioning

confidence: 99%

“…The Raman resonance at wavelength of 1002 cm À1 was another obviously affected peak. The peak at 1002 cm À1 was assigned to phenylalanine, 36,37 which is the component of protein. The obvious increase of the phenylalanine-related protein indicated the structural change of protein in response to ceazidime.…”

Section: Raman Spectroscopy Of C10 Cultured In Ceazidimementioning

confidence: 99%

See 2 more Smart Citations

Identification of ceftazidime interaction with bacteria in wastewater treatment by Raman spectroscopic mapping

Peng

Wei

et al. 2019

RSC Adv.

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Raman spectroscopy yields a fingerprint spectrum and is of great importance in medical and biological sciences as it is non-destructive, non-invasive, and available in the aqueous environment. In this study, Raman spectroscopy and Raman mapping were used to explore the dynamic biochemical processes in screened bacteria under ceftazidime stress. The Raman spectral difference between bacteria with and without antibiotic stress was analyzed by principal component analysis and characteristic peaks were obtained. The results showed that amino acids changed first and lipids were reduced when bacteria were exposed to ceftazidime stress. Furthermore, in Raman mapping, when bacteria were subjected to antibiotic stress, the peak at 1002 cm À1 (phenylalanine) increased, while the peak at 1172 cm À1 (lipids)weakened. This indicates that when bacteria were stimulated by antibiotics, the intracellular lipids decreased and the content of specific amino acids increased. The reduction of intracellular lipids may suggest a change of membrane permeability. The increase of specific amino acids suggests that bacteria resist external stimuli of antibiotics by regulating the activities of related enzymes. This study explored the processes of the action between bacteria and antibiotics by Raman spectroscopy, and provides a foundation for the further study of the dynamics of microbial biochemical processes in the future. Fig. 8 Raman mappings of bacteria in ceftazidime solution with tolerance times of 0 min (a), 30 min (b), 60 min (c), 90 min (d), and 120 min (e).

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Space‐Resolved Raman Spectroscopy Applications: From Single Cells to Tissues

Sil

Gautam

Umapathy

2018

Encyclopedia of Analytical Chemistry

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Raman spectroscopy provides information about the structure, functional groups, and chemical environment of the molecules present in a sample. In recent years, Raman spectroscopic techniques have been extensively used to understand fundamental biology and responses of living systems under diverse physiological and pathological conditions due to its potential to provide multicomponent (chemical) analysis without labeling. Further, Raman spectroscopy provides an upper hand in the study of biofluids in situ owing to low absorption coefficient of water in visible and near‐infrared region in contrast to mid‐infrared region. The incorporation of multivariate data analysis methods provides profound visualization of the complex multicomponent data and thus aid in effective interpretation of Raman spectra. This article reviews recent progress and advents of Raman spectroscopy‐based techniques used for biomedical diagnostics and provides an overview of applications, including biofluids, cells, tissues, and microorganism detection and classification. The spectral information gathered from ex vivo analyses on cells, tissues, and biofluids is important for the interpretation of data acquired in real matrix where it is influenced by unwanted background signals. In the first part of the review, examples on bacterial cells and tissues have been shown to highlight the potential of Raman microspectroscopy to identify and distinguish different bacteria and diseased versus normal tissues. Increased sensitivity of Raman signals have been obtained for the detection of biochemicals such as proteins using surface‐enhanced Raman spectroscopy (SERS) has been depicted. The second half of the article describes the potential of Raman spectroscopy as an in vivo diagnostic tool based on hand‐held fiber probes, spatially offset Raman spectroscopy (SORS) and universal multiple angle Raman spectroscopy (UMARS) along with consideration of clinical translation. In this section, historical development of fiber‐optic Raman probes for biological samples have been described. We have taken specific examples from latest literatures in the field of depth profiling studies to obtain subsurface information toward biomedical diagnostics. Finally, few examples using UMARS towards deep Raman spectroscopy exceeding few tens of millimeters for 3D Raman imaging have been presented.

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Challenges in application of Raman spectroscopy to biology and materials

Abstract: This paper reviews various facets of Raman spectroscopy. This encompasses biomolecule fingerprinting and conformational analysis, discrimination of healthy vs. diseased states, depth-specific information of materials and 3D Raman imaging.

Cited by 224 publications

References 153 publications

Raman spectral discrimination in human liquid biopsies of oesophageal transformation to adenocarcinoma

Raman spectral discrimination in human liquid biopsies of oesophageal transformation to adenocarcinoma

Identification of ceftazidime interaction with bacteria in wastewater treatment by Raman spectroscopic mapping

Space‐Resolved Raman Spectroscopy Applications: From Single Cells to Tissues

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