Surface-enhanced Raman spectroscopy study of red blood cells and platelets

Barkur, Surekha; Chidangil, Santhosh

doi:10.1080/07391102.2018.1450165

Cited by 9 publications

(17 citation statements)

References 14 publications

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“…For studies related to RBCs and platelets, key factors are sensitivity, reliability, and reproducibility of Surface-Enhanced Raman Spectroscopic (SERS) substrates. Additionally, different nanostructures such as nanotubes, nanorods, pyramid structures, and shell-isolated nanoparticles have been used to enhance the efficiency [73]. SERS spectra of normal blood samples have been analyzed with an active SERS microchannel for qualitative assessments utilizing the plasmonic enhancement of surface traps.…”

Section: Spectroscopic Analysis Of Single Rbcsmentioning

confidence: 99%

Advances in Microfluidics for Single Red Blood Cell Analysis

et al. 2023

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The utilizations of microfluidic chips for single RBC (red blood cell) studies have attracted great interests in recent years to filter, trap, analyze, and release single erythrocytes for various applications. Researchers in this field have highlighted the vast potential in developing micro devices for industrial and academia usages, including lab-on-a-chip and organ-on-a-chip systems. This article critically reviews the current state-of-the-art and recent advances of microfluidics for single RBC analyses, including integrated sensors and microfluidic platforms for microscopic/tomographic/spectroscopic single RBC analyses, trapping arrays (including bifurcating channels), dielectrophoretic and agglutination/aggregation studies, as well as clinical implications covering cancer, sepsis, prenatal, and Sickle Cell diseases. Microfluidics based RBC microarrays, sorting/counting and trapping techniques (including acoustic, dielectrophoretic, hydrodynamic, magnetic, and optical techniques) are also reviewed. Lastly, organs on chips, multi-organ chips, and drug discovery involving single RBC are described. The limitations and drawbacks of each technology are addressed and future prospects are discussed.

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Section: Spectroscopic Analysis Of Single Rbcsmentioning

confidence: 99%

Advances in Microfluidics for Single Red Blood Cell Analysis

et al. 2023

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“…The peak assignments are listed in Table 3 according to the reported literature. [11,14,[21][22][23][24][25][26][27][28] The HGG and LGG group peak intensity changes compared with the normal group are shown in Table 2. The HGG group had lower intensities than the LGG group at all specific peaks except 749 cm −1 .…”

Section: Spectral Analysismentioning

confidence: 99%

“…T A B L E 3 Raman peak attribution in normal and glioma serum [11,14,[21][22][23][24][25][26][27][28] Raman shift (cm − PCA-LDA for glioma diagnosis, an ROC curve was produced, as shown in Figure 3b, and the accuracy of the discriminant analysis results was evaluated by the area under the ROC curve. Therefore, we performed a pairwise comparison of the PCA-LDA diagnostic algorithm results.…”

Section: Principal Component Analysis (Pca) and Linear Discriminantmentioning

confidence: 99%

Label‐free serum detection based on Raman spectroscopy for the diagnosis and classification of glioma

Zhang

Han²,

Sun

et al. 2020

J Raman Spectroscopy

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Glioma is the most prevalent malignant cancer in the central nervous system and can cause significant mortality and morbidity. A rapid, convenient, accurate, and relatively noninvasive diagnostic method for glioma is important and urgently needed. In this study, we investigated the feasibility of using Raman spectroscopy to discriminate patients with glioma from healthy individuals. Serum samples were collected from healthy individuals (n = 86) and patients with glioma [high-grade glioma (HGG) n = 75, low-grade glioma (LGG) n = 60]. All spectra were collected with a 785-nm wavelength laser in the range of 400-1800 cm −1. A total of three spectra were recorded for each sample, and every spectrum was integrated for 12 s and averaged over five accumulations. Principal component analysis and linear discriminant analysis models were combined to classify the Raman spectra of different groups. The correct classification ratios were 95.35, 93.33, and 93.34% for the normal, HGG, and LGG groups, respectively, and the total accuracy was 94.12%. The sensitivity, specificity, and accuracy of differentiating the HGG group from the normal group were 96.00, 96.51, and 96.27%, respectively, with an area under the curve of 0.997; in addition, the sensitivity, specificity, and accuracy of differentiating the LGG group from the normal group were 96.67%, 98.84%, and 97.95%, respectively, with an area under the curve of 0.999. Our study results suggested that the rapid and noninvasive detection method based on principal component analysis and linear discriminant analysis combined with Raman spectroscopy is a highly promising tool for the early diagnosis of glioma. K E Y W O R D S classification, diagnosis, glioma, Raman spectroscopy, serum 1 | BACKGROUND Brain tumors have become one of the top 10 malignant tumors that endanger the health of people as they age and with changes in environmental factors, and the incidence rate of these tumors is still on the rise. [1] Glioma, the most prevalent malignant cancer in the central nervous system, accounts for 40-50% of all intracranial Abbreviations: ANOVA, one-way analysis of variance; AUC, area under curve; HGG, high-grade glioma; LGG, low-grade glioma; PCA-LDA, principal component analysis and linear discriminant analysis; ROC, receive operating characteristic; WHO, World Health Organization.

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“…Localized surface plasmon resonances (LSPR), induced near the metal NPs is considered to be a powerful tool in plasmon-enhanced steady-state [ 22 ] and time-resolved [ 23 , 24 ] spectroscopy techniques applied for organic and inorganic media investigation. Plasmonic materials such as silver, gold and copper are well studied and these metals are mostly used for platelet investigations in the visible and near infrared (IR) range [ 25 , 26 ]. A wide range of plasmonic devices, such as nanoantennas [ 27 ], gold/gold-shell nanorods [ 28 ], and NPs, deposited on different surfaces [ 29 ] can be created and successfully used for sensory purposes.…”

Section: Introductionmentioning

confidence: 99%

Spectral and time-resolved photoluminescence of human platelets doped with platinum nanoparticles

et al. 2021

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This paper describes a detailed study of spectral and time-resolved photoprocesses in human platelets and their complexes with platinum (Pt) nanoparticles (NPs). Fluorescence, quantum yield, and platelet amino acid lifetime changes in the presence and without femtosecond ablated platinum NPs have been studied. Fluorescence spectroscopy analysis of main fluorescent amino acids and their residues (tyrosine (Tyr), tryptophan (Trp), and phenylalanine (Phe)) belonging to the platelet membrane have been performed. The possibility of energy transfer between Pt NPs and the platelet membrane has been revealed. Förster Resonance Energy Transfer (FRET) model was used to perform the quantitative evaluation of energy transfer parameters. The prospects of Pt NPs usage deals with quenching-based sensing for pathology’s based on platelet conformations as cardiovascular diseases have been demonstrated.

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Surface-enhanced Raman spectroscopy study of red blood cells and platelets

Cited by 9 publications

References 14 publications

Advances in Microfluidics for Single Red Blood Cell Analysis

Advances in Microfluidics for Single Red Blood Cell Analysis

Label‐free serum detection based on Raman spectroscopy for the diagnosis and classification of glioma

Spectral and time-resolved photoluminescence of human platelets doped with platinum nanoparticles

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