Direct detection of malaria infected red blood cells by surface enhanced Raman spectroscopy

Chen, Funing; Flaherty, Briana R.; Cohen, Charli E.; Peterson, David S.; Zhao, Yiping

doi:10.1016/j.nano.2016.03.001

Cited by 52 publications

(48 citation statements)

References 42 publications

(56 reference statements)

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“…Compared with the mean spectra of untreated osteosarcoma cell, both DAPT-treated groups showed a decrease in the spectral features at 787 cm -1 (uracil, thymine, and cytosine, DNA backbone O-P-O stretching) [27,28], 840 cm -1 (carbohydrate, glucose) [29], 1320 cm -1 (protein, C-H) [30,31], 1656 cm -1 (protein, amide I, α-spiral) [19,32] and 2934 cm -1 (lipid, CH 3 ) [27], associated with nucleic acid, protein, lipid, and carbohydrate content. In both 10T and 20T groups, a decrease in peak intensity, as compared to the UT group, was observed at 787 cm -1 , which is associated with uracil, thymine, and cytosine ring breathing modes in DNA and RNA bases.…”

Section: Ch3mentioning

confidence: 79%

Confocal Raman Spectral Imaging Study of DAPT, a γ-secretase Inhibitor, Induced Physiological and Biochemical Reponses in Osteosarcoma Cells

Li¹,

Wang²,

Qin³

et al. 2020

Int. J. Med. Sci.

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Confocal Raman microspectral imaging was adopted to elucidate the cellular drug responses of osteosarcoma cells (OC) to N-[N-(3, 5-difluorophenyl acetyl)-L-alanyl]-sphenylglycine butyl ester (DAPT), a γ-secretase inhibitor, by identifying the drug induced subcellular compositional and structural changes. Methods: Spectral information were acquired from cultured osteosarcoma cells treated with 0 (Untreated Group, UT), 10 (10 μM DAPT treated, 10T), 20 μM (20 μM DAPT treated, 20T) DAPT for 24 hours. A one-way ANOVA and Tukey's honest significant difference (HSD) post hoc multiple test were sequentially applied to address spectral features among three groups. Multivariate algorithms such as K-means clustering analysis (KCA) and Principal component analysis (PCA) were used to highlight the structural and compositional differences, while, univariate imaging was applied to illustrate the distribution pattern of certain cellular components after drug treatment. Results: Major biochemical changes in DAPT-induced apoptosis came from changes in the content and structure of proteins, lipids, and nucleic acids. By adopted multivariate algorithms, the drug induced cellular changes was identified by the morphology and spectral characteristics between untreated cells and treated cells, testified that DAPT mainly acted in the nuclear region. With the increase of the drug concentration, the content of main subcellular compositions, such nucleic acid, protein, and lipid decreased. In an addition, DAPT-induced nuclear fragmentation and apoptosis was depicted by the univariate Raman image of major cellular components (nucleic acids, proteins and lipids). Conclusions: The achieved Raman spectral and imaging results illustrated detailed DAPT-induced subcellular compositional and structural variations as a function of drug dose. Such observations can not only explain drug therapeutic mechanisms of OC DAPT treatment, and also provide new insights for accessing the medicine curative efficacy and predicting prognosis.

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Section: Ch3mentioning

confidence: 79%

Confocal Raman Spectral Imaging Study of DAPT, a γ-secretase Inhibitor, Induced Physiological and Biochemical Reponses in Osteosarcoma Cells

Li¹,

Wang²,

Qin³

et al. 2020

Int. J. Med. Sci.

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“…AgNR array substrates were fabricated by the OAD method in a custom‐built e‐beam deposition system (DE500, DE Technology Inc., Beijing, China). Detailed characterization of the enhancement factor, uniformity, and repeatability of the substrates has been reported previously . Briefly, glass slides were cut into 1 × 1 cm 2 square pieces and were sonicated in ethanol for 10 min, dried by high purity nitrogen.…”

Section: Experiments and Methodsmentioning

confidence: 99%

Rapid identification of gutter oil by detecting the capsaicin using surface enhanced Raman spectroscopy

Tian

Yao

et al. 2017

J Raman Spectroscopy

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Accurate determination of the gutter oil represents a major food safety challenge. Here, we propose to use the surface enhanced Raman spectroscopy (SERS) with silver nanorod array substrates to detect the capsaicin, a marker of the gutter oil that is difficult to remove. The capsaicin has several characteristic SERS peaks at Δv = 807 cm−1, Δv = 1, 264 cm−1, and so forth, which correspond to the C39‐C37‐C43 stretching vibrational mode at the alkyl chain, the ring stretching vibrational mode, and so forth, confirmed by our density functional theory calculation. This SERS‐based method enabled the rapid and highly sensitive detection of the gutter oil with minimum pretreatment. The concentration dependent SERS investigation shows that the SERS intensity of these characteristic peaks has a linear relationship with the capsaicin concentration when 1 mg/L < C < 60 mg/L. By combining a liquid phase extraction method and the SERS detection strategy, the capsaicin concentration as low as 30 mg/L can be detected from inoculated corn oil samples.

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“…Changes in the red blood cells (RBC) have been traditionally used to detect mosquito-borne infection, and it has also been found that some of the molecular changes in RBC can also be detected using SERS to potentially achieve high diagnostic sensitivities. Zhao's group at the University of Georgia used the SERS spectral features apparent in RBC infected with Plasmodium falciparum (iRBC) to differentiate varying stages of the parasite in the blood as iRBC at different post-invasion times exhibit different cell membrane modifications [104]. In this study, they analyzed and compared the intrinsic spectral signatures of healthy RBC and iRBC on silver nanorod array substrates.…”

Section: Metabolites As Biomarkersmentioning

confidence: 99%

Recent Advancement in the Surface-Enhanced Raman Spectroscopy-Based Biosensors for Infectious Disease Diagnosis

2019

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Diagnosis is the key component in disease elimination to improve global health. However, there is a tremendous need for diagnostic innovation for neglected tropical diseases that largely consist of mosquito-borne infections and bacterial infections. Early diagnosis of these infectious diseases is critical but challenging because the biomarkers are present at low concentrations, demanding bioanalytical techniques that can deliver high sensitivity with ensured specificity. Owing to the plasmonic nanomaterials-enabled high detection sensitivities, even up to single molecules, surface-enhanced Raman spectroscopy (SERS) has gained attention as an optical analytical tool for early disease biomarker detection. In this mini-review, we highlight the SERS-based assay development tailored to detect key types of biomarkers for mosquito-borne and bacterial infections. We discuss in detail the variations of SERS-based techniques that have developed to afford qualitative and quantitative disease biomarker detection in a more accurate, affordable, and field-transferable manner. Current and emerging challenges in the advancement of SERS-based technologies from the proof-of-concept phase to the point-of-care phase are also briefly discussed.

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Direct detection of malaria infected red blood cells by surface enhanced Raman spectroscopy

Cited by 52 publications

References 42 publications

Confocal Raman Spectral Imaging Study of DAPT, a γ-secretase Inhibitor, Induced Physiological and Biochemical Reponses in Osteosarcoma Cells

Confocal Raman Spectral Imaging Study of DAPT, a γ-secretase Inhibitor, Induced Physiological and Biochemical Reponses in Osteosarcoma Cells

Rapid identification of gutter oil by detecting the capsaicin using surface enhanced Raman spectroscopy

Recent Advancement in the Surface-Enhanced Raman Spectroscopy-Based Biosensors for Infectious Disease Diagnosis

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