UV resonance Raman spectroscopy for analytical, physical, and biophysical chemistry. Part 1

Asher, Sanford A.

doi:10.1021/ac00050a001

Cited by 86 publications

(72 citation statements)

References 15 publications

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“…This is due to two factors: first, there are comparatively few fluorophores which both absorb and emit in this DUV region, 27 and second, if fluorophores are excited, the Raman signal tends to occupy a spectral region free from the more Stokes shifted fluorescence. e UVRRS thus offers increased sensitivity, chemical specificity, and fluorescence minimization but the spectrometers, Rayleigh rejection filters, [90][91][92][93] and efficient DUV lasers needed for UVRRS are expensive and/or complicated (e.g. the laser excitation source can contribute >50% of system costs, compared to $10% for CRS).…”

Section: Raman Spectroscopymentioning

confidence: 99%

Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review

2017

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The production of active pharmaceutical ingredients (APIs) is currently undergoing its biggest transformation in a century. The changes are based on the rapid and dramatic introduction of protein-and macromolecule-based drugs (collectively known as biopharmaceuticals) and can be traced back to the huge investment in biomedical science (in particular in genomics and proteomics) that has been ongoing since the 1970s. Biopharmaceuticals (or biologics) are manufactured using biological-expression systems (such as mammalian, bacterial, insect cells, etc.) and have spawned a large (>E35 billion sales annually in Europe) and growing biopharmaceutical industry (BioPharma). The structural and chemical complexity of biologics, combined with the intricacy of cell-based manufacturing, imposes a huge analytical burden to correctly characterize and quantify both processes (upstream) and products (downstream). In small molecule manufacturing, advances in analytical and computational methods have been extensively exploited to generate process analytical technologies (PAT) that are now used for routine process control, leading to more efficient processes and safer medicines. In the analytical domain, biologic manufacturing is considerably behind and there is both a huge scope and need to produce relevant PAT tools with which to better control processes, and better characterize product macromolecules. Raman spectroscopy, a vibrational spectroscopy with a number of useful properties (nondestructive, non-contact, robustness) has significant potential advantages in BioPharma. Key among them are intrinsically high molecular specificity, the ability to measure in water, the requirement for minimal (or no) sample pre-treatment, the flexibility of sampling configurations, and suitability for automation. Here, we review and discuss a representative selection of the more important Raman applications in BioPharma (with particular emphasis on mammalian cell culture). The review shows that the properties of Raman have been successfully exploited to deliver unique and useful analytical solutions, particularly for online process monitoring. However, it also shows that its inherent susceptibility to fluorescence interference and the weakness of the Raman effect mean that it can never be a panacea. In particular, Raman-based methods are intrinsically limited by the chemical complexity and wide analyte-concentration-profiles of cell culture media/bioprocessing broths which limit their use for quantitative analysis. Nevertheless, with appropriate foreknowledge of these limitations and good experimental design, robust analytical methods can be produced. In addition, new technological developments such as time-resolved detectors, advanced lasers, and plasmonics offer potential of new Raman-based methods to resolve existing limitations and/or provide new analytical insights.

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Section: Raman Spectroscopymentioning

confidence: 99%

Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review

2017

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“…[50,51] Their structure, composition, and conformation which is unique to each macromolecule which therefore provides total biochemical state like finger printing of molecule. [52][53][54] Sample preparation is mostly simple and reagent free, and material tested with a Raman can be low as or femtoliters or picograms. A Raman spectrum has several narrow bands which are a vibrational signature of the material being tested.…”

Section: Rsmentioning

confidence: 99%

Biomarker Detection of Neurological Disorders through Spectroscopy Analysis

Khan¹,

Ahmed²,

Khalid³

et al. 2018

IDJAR

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Background:The accurate and efficient diagnosis at the early stages of neurological disorders is the key feature for effective treatment and productive research for finding out new ways to combat diseases. It is essentially true for neurological disorders where there is no effective cure, but only treatments are available for slowing down the procedure. Neurological disorders reveal only non-specific clinical symptoms of mental changes/decline starting from a few days to decades after initiation which goes very challenging to differentiate even at later stages when the disorder becomes way aggressive. Despite the fact of having great need, the current availability of diagnostic tests is unable to diagnose different forms of neurological disorders. Aim: The aim of this review is to explore the application of Raman spectroscopy (RS) and mass spectrometry (MS) for the detection of changes in the biochemical composition of cerebrospinal fluid (CSF), blood serum, urine, and saliva. The approach will be based on probing biochemical composition of a biofluid totally using the spectroscopy analysis with advanced statistics. The power of high differentiation method will promote the translation of RS from mere a laboratory technique to clinically useful tool. Demonstration of biochemical information derived from RS from CSF, blood, saliva, and urine that will yield accurate and selective detection of neurological disorders. It will also provide diagnostic and prognostic indicators and will also play a significant role in the development of personalized medicine. Conclusion: Combination of RS and other techniques such as MS and advanced molecular techniques will allow differentiating CSF, blood serum, saliva, and urine samples of common neurological disorders from normal control patients with sensitivity and specificity close to 95%. Clinical Significance: The outcome of the research methods explained will demonstrate an accurate discriminative method which will be based on RS for the detection of neurological disorders. The findings of research in the review will furthermore confirm that if the biomedical application of the methods will either allow to distinguish and detect biomarkers of neurological disorders from biofluids and is it a viable clinical tool that can be used for an accurate diagnosis through a simple test.

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“…The topology of amyloid -like fi brils prepared from three de novo designed polypeptides consisting of seven repeats of 32 -, 40 -, or 48 -amino acid repeats, 6.5 ± 1.0 nm 1.7 ± 0.2nm (GA) n GY(GA) n GE(GA) n GH(GA) n GK ( n = 3, 4, or 5, respectively, 32YEHK7, 40YEHK7, or 48YEHK7) was consistent with the cross -β -core structure shown in Figure 9.6 . DUVRR spectra measured for the three types of fi brils showed noticeable differences.…”

Section: Genetic Engineering For Fibril Core Structure Elucidationmentioning

confidence: 99%

Genetically Engineered Polypeptides as a Model of Intrinsically Disordered Fibrillogenic Proteins: Deep UV Resonance Raman Spectroscopic Study

Topilina

Sikirzhytski

Higashiya

et al. 2010

Instrumental Analysis of Intrinsically Disordered Proteins

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Protein misfolding plays an important role in many neurodegenerative diseases associated with proteinaceous aggregates having an extended cross -βsheet structure. Intrinsically disordered proteins (IDPs) can also be involved in the amyloid diseases. Genetic engineering facilitates examination of folding and fi brillation mechanisms by probing the infl uence of the primary polypeptide sequence on kinetic and equilibrium properties of the protein. This chapter focuses on the use of genetic engineering in the study of the mechanism of fi brillation of large biopolymers that are excellent models for intrinsically disordered proteins. The folding mechanism was probed using deep UV resonance Raman (DUVRR) spectroscopy, a novel method for acquisition of quantitative information on the peptide backbone conformation of large

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UV resonance Raman spectroscopy for analytical, physical, and biophysical chemistry. Part 1

Cited by 86 publications

References 15 publications

Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review

Applications of Raman Spectroscopy in Biopharmaceutical Manufacturing: A Short Review

Biomarker Detection of Neurological Disorders through Spectroscopy Analysis

Genetically Engineered Polypeptides as a Model of Intrinsically Disordered Fibrillogenic Proteins: Deep UV Resonance Raman Spectroscopic Study

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