Vibrational Spectroscopy in Clinical Analysis

Bunaciu, Andrei A.; Aboul‐Enein, Hassan Y.; Fleschin, Şerban

doi:10.1080/05704928.2014.955582

Cited by 56 publications

(37 citation statements)

References 46 publications

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“…2 A 2015 review article concludes that if the combination of vibrational spectroscopy and chemometric analysis is to be successfully transferred into clinical practice more extensive studies are needed. 11 Clearly, new schemes and approaches to vibrational spectroscopy are required for biological and tissue analysis.…”

Section: Introductionmentioning

confidence: 99%

Differential laser-induced perturbation Raman spectroscopy: a comparison with Raman spectroscopy for analysis and classification of amino acids and dipeptides

2015

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Abstract. Differential-laser induced perturbation spectroscopy (DLIPS) is a new spectral analysis technique for classification and identification, with key potential applications for analysis of complex biomolecular systems. DLIPS takes advantage of the complex ultraviolet (UV) laser-material interactions based on difference spectroscopy by coupling low intensity UV laser perturbation with a traditional spectroscopy probe. Here, we quantify the DLIPS performance using a Raman scattering probe in classification of basic constituents of collagenous tissues, namely, the amino acids glycine, L-proline, and L-alanine, and the dipeptides glycine-glycine, glycinealanine and glycine-proline and compare the performance to a traditional Raman spectroscopy probe via several multivariate analyses. We find that the DLIPS approach yields an ∼40% improvement in discrimination among these tissue building blocks. The effects of the 193-nm perturbation laser are further examined by assessing the photodestruction of targeted material molecular bonds. The DLIPS method with a Raman probe holds promise for future tissue diagnosis, either as a stand-alone technique or as part of an orthogonal biosensing scheme. © The Authors. Published by SPIE under a Creative Commons Attribution 3.0 Unported License. Distribution or reproduction of this work in whole or in part requires full attribution of the original publication, including its DOI.

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Section: Introductionmentioning

confidence: 99%

Differential laser-induced perturbation Raman spectroscopy: a comparison with Raman spectroscopy for analysis and classification of amino acids and dipeptides

2015

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“…[25] IR spectroscopy can be taken into account as an ideal technique for analysis of edible oils because this technique is rapid, ease in sample presentation, non-destructive and non-invasive, meaning that the samples analysed with IR spectroscopy can be analysed using different instruments. [26][27] Today, the number of researchers using IR spectroscopy due to its capability to characterize the structure of different molecular species without destructing them. For a given sample, IR spectroscopy generates "chemical fingerprint" which can be used for identification, characterization, qualitative and quantitative analysis and monitoring the parameters of edible oils, including VCO and EVOO.…”

Section: Extra Virgin Olive Oilmentioning

confidence: 99%

Infrared spectroscopy for quantitative analysis and oil parameters of olive oil and virgin coconut oil: A review

Rohman¹

2016

International Journal of Food Properties

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Vegetable oils are major lipid sources with high nutritional and calorific values for human diet. Specifically, virgin coconut oil (VCO) and extra virgin olive oil (EVOO) are the functional oils widely used in food and pharmaceutical products, either as vehicles or main components. The quality of edible oils is determined by its contents and parameters inherent in vegetable oils. Infrared (IR) spectroscopy is an

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“…On the other hand, in Raman spectroscopy, the scattered light is probed which is mostly excited by visible light. Inelastic scattering of the light, in which case energy is transferred between photons and molecules, is the fundamental principle of Raman spectroscopy [39]. Raman spectrum of a molecule is a function of its polarizability change during molecular vibrations.…”

Section: Vibrational Spectroscopymentioning

confidence: 99%

Label-Free Sensing in Microdroplet-Based Microfluidic Systems

2018

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Droplet microfluidic systems have evolved as fluidic platforms that use much less sample volume and provide high throughput for biochemical analysis compared to conventional microfluidic devices. The variety of droplet fluidic applications triggered several detection techniques to be applied for analysis of droplets. In this review, we focus on label-free droplet detection techniques that were adapted to various droplet microfluidic platforms. We provide a classification of most commonly used droplet platform technologies. Then we discuss the examples of various label-free droplet detection schemes implemented for these platforms. While providing the research landscape for label-free droplet detection methods, we aim to highlight the strengths and shortcomings of each droplet platform so that a more targeted approach can be taken by researchers when selecting a droplet platform and a detection scheme for any given application.

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Vibrational Spectroscopy in Clinical Analysis

Cited by 56 publications

References 46 publications

Differential laser-induced perturbation Raman spectroscopy: a comparison with Raman spectroscopy for analysis and classification of amino acids and dipeptides

Differential laser-induced perturbation Raman spectroscopy: a comparison with Raman spectroscopy for analysis and classification of amino acids and dipeptides

Infrared spectroscopy for quantitative analysis and oil parameters of olive oil and virgin coconut oil: A review

Label-Free Sensing in Microdroplet-Based Microfluidic Systems

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