Resonance Raman spectroscopy in malaria research

Wood, Bayden Robert

doi:10.1586/14789450.3.5.525

Cited by 52 publications

(30 citation statements)

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“…[143] The most common and persistent application of resonance Raman spectroscopy on the cellular level has been in line with current research on malaria, one of the most widely spread infectious diseases.T he main challenge in the development of appropriate medication is the adoption of the parasite to the drugs and subsequent resistance.D uring the progression of the disease,t he Plasmodium falciparum parasite digests hemoglobin and releases heme.F ree heme is toxic to cells,s ot he parasites convert it into an insoluble crystalline form called hemozoin, often referred to as malaria pigment. [145] Recently,t he binding between quinoline derivatives and ferriprotoporphyrin, as ac ore fragment before hemozoin formation, has been investigated in great detail. As the structure is composed of heme, resonance Raman spectroscopy is an ideal modality to investigate the formation and interaction of hemozoin with potential drug candidates.I nitial studies aimed at the spectroscopic characterization of the hemozoin structure.…”

Section: Cytochromes and Hemoglobinmentioning

confidence: 99%

“…[144] Several hypotheses about the mechanism of the hemozoin formation, which might involve lipid mediation or nucleation by histidine-rich protein HRP2, were investigated by resonance Raman spectroscopy (for at horough review of this early work, please see an article by Wood and co-workers). [145] Recently,t he binding between quinoline derivatives and ferriprotoporphyrin, as ac ore fragment before hemozoin formation, has been investigated in great detail. Thestrength and geometry of the binding between the drug and the porphyrin are important for the efficiency.…”

Section: Cytochromes and Hemoglobinmentioning

confidence: 99%

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Label‐Free Molecular Imaging of Biological Cells and Tissues by Linear and Nonlinear Raman Spectroscopic Approaches

et al. 2017

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Raman spectroscopy is an emerging technique in bioanalysis and imaging of biomaterials owing to its unique capability of generating spectroscopic fingerprints. Imaging cells and tissues by Raman microspectroscopy represents a nondestructive and label-free approach. All components of cells or tissues contribute to the Raman signals, giving rise to complex spectral signatures. Resonance Raman scattering and surface-enhanced Raman scattering can be used to enhance the signals and reduce the spectral complexity. Raman-active labels can be introduced to increase specificity and multimodality. In addition, nonlinear coherent Raman scattering methods offer higher sensitivities, which enable the rapid imaging of larger sampling areas. Finally, fiber-based imaging techniques pave the way towards in vivo applications of Raman spectroscopy. This Review summarizes the basic principles behind medical Raman imaging and its progress since 2012.

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Section: Cytochromes and Hemoglobinmentioning

confidence: 99%

Section: Cytochromes and Hemoglobinmentioning

confidence: 99%

Label‐Free Molecular Imaging of Biological Cells and Tissues by Linear and Nonlinear Raman Spectroscopic Approaches

et al. 2017

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“…Resonance Raman also allows important diagnostics such as poison toxicity 35 and the progression of malaria parasite infection. 36,37 With Raman imaging still in its relatively early stages, technical advances in signal detection and processing are likely to make this mode more and more useful over the next decade and beyond.…”

Section: Spectroscopic Methodsmentioning

confidence: 99%

Multimodal label-free microscopy

Pavillon

Fujita

Smith

2014

J. Innov. Opt. Health Sci.

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This paper reviews the di®erent multimodal applications based on a large extent of label-free imaging modalities, ranging from linear to nonlinear optics, while also including spectroscopic measurements. We put speci¯c emphasis on multimodal measurements going across the usual boundaries between imaging modalities, whereas most multimodal platforms combine techniques based on similar light interactions or similar hardware implementations. In this review, we limit the scope to focus on applications for biology such as live cells or tissues, since by their nature of being alive or fragile, we are often not free to take liberties with the image acquisition times and are forced to gather the maximum amount of information possible at one time. For such samples, imaging by a given label-free method usually presents a challenge in obtaining su±cient optical signal or is limited in terms of the types of observable targets. Multimodal imaging is then particularly attractive for these samples in order to maximize the amount of measured information. While multimodal imaging is always useful in the sense of acquiring additional information from additional modes, at times it is possible to attain information that could not be discovered using any single mode alone, which is the essence of the progress that is possible using a multimodal approach.

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“…[68][69][70] Either by using cells, dissected tissues or real time monitoring during surgery, researchers have demonstrated the utility of Raman spectroscopy, particularly in cancers related to brain, 71,72 83,84 Additionally, by analyzing biofluids such as blood and urine, non-invasive diagnostic assays are also being actively developed for many diseases such as diabetes (glucose level monitoring), 85,86 cancer, 87,88 asthma, 89 and malaria. 90,91 Most of these studies relied on univariate analysis (one or two marker bands used for biomolecular identification). However, in order to obtain both qualitative and quantitative information, it is important to separate pure component spectra.…”

Section: Medical Applicationsmentioning

confidence: 99%