Quantification of C-Reactive protein in human blood plasma using near-infrared Raman spectroscopy

Bergholt, Mads Sylvest; Hassing, Søren

doi:10.1039/b903089a

Cited by 27 publications

(23 citation statements)

References 5 publications

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Section: Characterization and Quantificationmentioning

confidence: 98%

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Role of Infrared Spectroscopy in Proteomics and Subsequently the Biomarker Analysis

Saeed¹,

Huck²,

Pallua

et al. 2012

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During recent years, various bio-analytical tools are being utilized in the study of peptides and proteins in the field of proteomics. Particularly, the matrix-assisted laser desorption/ionization mass spectrometry (MALDI-MS) is an extensively used tool for investigating the different aspects. Although the results and achievements made through this tool are remarkable, however, the technique is quite complex, hard to interpret and routine analyses of bulk samples are quite expensive and not always commercially viable. IR spectroscopy is an established analytical tool evolved as a replacement/assistance for certain investigations in proteomics. It is used in various mass ranges of peptides and proteins. This role of IR and NIR is elaborated in this review. The modified materials in their different derivatized forms are used in binding the peptides and proteins out of complex biofluids and analyzed with IR and NIR spectrophotometers. However, a strategy of desalting, pre-concentration can be applied before IR investigations to minimize the stray absorptions. Silica is modified in different ways to bind the serum entities and is employed in the proteome identifications.

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Section: Characterization and Quantificationmentioning

confidence: 98%

“…The correlation between the Raman Spectrum of CRP and regression factor shows the sensitivity of Partial Least Squares (PLS) to CRP (Fig. 14) [64].…”

Section: Characterization and Quantificationmentioning

confidence: 99%

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Role of Infrared Spectroscopy in Proteomics and Subsequently the Biomarker Analysis

Saeed¹,

Huck²,

Pallua

et al. 2012

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“…In a recent study, a new biological application of quantitative Raman spectroscopy was proposed to detect low levels of bacteria and inflammation (Bergholt and Hassig 2009). Native human plasma C-reactive protein (CRP) was used as a clinical biomarker of bacterial infection and tissue damage.…”

Section: Ex Vivomentioning

confidence: 99%

Nanotechnology Enabled In situ Sensors for Monitoring Health

2011

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except for brief excerpts in connection with reviews or scholarly analysis. Use in connection with any form of information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar methodology now known or hereafter developed is forbidden. The use in this publication of trade names, trademarks, service marks, and similar terms, even if they are not identified as such, is not to be taken as an expression of opinion as to whether or not they are subject to proprietary rights. PrefaceNanotechnology is the use of materials with at least one direction less than 100 nm, so called nanomaterials. Examples of common nanomaterials include particles, fibers, tubes, coating features, etc. all with at least one dimension less than 100 nm. Nanotechnology has already begun to revolutionize numerous science and engineering fields, including, but not limited to fabricating faster and more light-weight computers, stronger buildings (even the consideration of building an elevator from the earth to the moon), improved catalytic devices, and medicine where several nanomaterials have been FDA approved for clinical use. In medicine, numerous researchers are searching for ways to make medicine more personal, and, nanotechnology may provide the answer. Imagine the day when we can utilize sensors placed in various parts throughout the body to determine, in real-time, biological events. Moreover, imagine a day when that same device can send information from inside to outside the body to help a clinician treat a medical problem that would be diagnosed using traditional medical imaging. Lastly, imagine a day when that same device could be programmed to reverse adverse biological events to ensure a healthier, more active patient. This book will examine the role that nanomaterials are playing in the above, specifically, in designing sensors that can diagnosis and treat diseases inside the body.To introduce the reader to this exciting and fast-moving subject, this book will first provide a forward from the medical device industry concerning the importance of developing in situ sensors to diagnosis and treat diseases in ways we are currently not able to (since, after all, the best way to a fight disease or a medical problem is at the site at which it occurs, not necessarily through conventional systemic drug delivery which takes time and efficacy is lost as drugs pass through the body partially ending up at the disease location). The first chapter will then describe fundamentals of cancer and how in situ sensors are being used to treat cancer. Clearly, cancer remains one of our foremost diseases and nanotechnology-derived sensors are making much progress towards a personalized care of select cancers. The second chapter will then cover the fundamentals of how our tissues heal and how nanosensors can be used to promote tissue healing. Excessive inflammation (often leading to scar tissue growth) and infection often disrupt healing. Thus, the third chapter will cover the fundamentals of inflammation and infection a...

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“…Compared with PLS, iPLS has better performance in quantitative analysis [32]. With the iPLS method, the full-spectra are divided into several regions and then the optimal intervals are selected to establish the quantitative analysis model (iPLS model) [33][34]. The near infrared spectroscopy combined with iPLS algorithm has achieved good results in rapid quantitative analysis of polyphenols in green tea and inorganic nitrogen in water and in the rapid diagnosis of some diseases [19].…”

Section: Introductionmentioning

confidence: 99%

Applying near Infrared Spectroscopy and iPLS to Quantitative Analysis of PHB, Poly-P, and GLY in Denitrifying Phosphorus Removal

Zhang

Jian

et al. 2018

Pol. J. Environ. Stud.

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Near infrared spectroscopy and interval partial least-squares (iPLS) were applied to rapid quantitative analysis of thepoly-β-hydroxybutyrate (PHB), polyphosphate (Poly-P), and glycogen (Gly) during denitrifying phosphorus removal. Wavelet denoising was used to pretreat the raw near infrared spectroscopy, and the quantitative analysis models (iPLS models) of PHB, Poly-P, and GLY were established with interval partial least-squares (iPLS). The iPLS was used to select the optimal spectral interval for modeling. The total phosphorus decreased from 7.9 mg/L to 0.67 ma/L during denitrifying phosphorus removal. The region from 4,320 to 4,640 cm -1 was selected to establish the iPLS model of intracellular PHB. The region from 4,000 to 4,320 cm -1 was selected to establish the iPLS model of intracellular Poly-P.Finally, the region from 5,103 to 5,379 cm -1 was chosen to establish the iPLS model of intracellular GLY.Statistical tests of these iPLS models of PHB, Poly-P, and GLY show that the correlation coefficients show that the proposed models may provide a rapid and effective quantitatively analysis of intracellular PHB, Poly-P, and GLY, and that the effect of the denitrifying phosphorus removal process can be quickly judged from the cell metabolism perspective.

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Quantification of C-Reactive protein in human blood plasma using near-infrared Raman spectroscopy

Cited by 27 publications

References 5 publications

Role of Infrared Spectroscopy in Proteomics and Subsequently the Biomarker Analysis

Role of Infrared Spectroscopy in Proteomics and Subsequently the Biomarker Analysis

Nanotechnology Enabled In situ Sensors for Monitoring Health

Applying near Infrared Spectroscopy and iPLS to Quantitative Analysis of PHB, Poly-P, and GLY in Denitrifying Phosphorus Removal

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