scholarly journals Development of deep subsurface Raman spectroscopy for medical diagnosis and disease monitoring

2016 ◽  
Vol 45 (7) ◽  
pp. 1794-1802 ◽  
Author(s):  
Pavel Matousek ◽  
Nicholas Stone
Keyword(s):  
Raman Spectroscopy ◽  
Medical Diagnosis ◽  
Disease Monitoring ◽  
Monitoring Methods ◽  
Deep Subsurface ◽  
Non Invasive

The advent of non-invasive deep Raman techniques heralds the emergence of novel diagnostic and disease monitoring methods.

scholarly journals Raman Sensing and Its Multimodal Combination with Optoacoustics and OCT for Applications in the Life Sciences

Sensors ◽  
2019 ◽  
Vol 19 (10) ◽  
pp. 2387 ◽  
Author(s):  
Merve Wollweber ◽  
Bernhard Roth
Keyword(s):  
Raman Spectroscopy ◽  
Optical Coherence Tomography ◽  
Medical Diagnosis ◽  
Life Sciences ◽  
Living Organism ◽  
Optical Coherence ◽  
Non Invasive ◽  
Multimodal Sensing ◽  
Spectroscopy Optical

Currently, many optical modalities are being investigated, applied, and further developed for non-invasive analysis and sensing in the life sciences. To befit the complexity of the study objects and questions in this field, the combination of two or more modalities is attempted. We review our work on multimodal sensing concepts for applications ranging from non-invasive quantification of biomolecules in the living organism to supporting medical diagnosis showing the combined capabilities of Raman spectroscopy, optical coherence tomography, and optoacoustics.

scholarly journals Application of Smartphone Technologies in Disease Monitoring: A Systematic Review

Healthcare ◽  
2021 ◽  
Vol 9 (7) ◽  
pp. 889
Author(s):  
Jeban Chandir Moses ◽  
Sasan Adibi ◽  
Sheikh Mohammed Shariful ◽  
Nilmini Wickramasinghe ◽  
Lemai Nguyen
Keyword(s):  
Technology Acceptance ◽  
Electronic Monitoring ◽  
Self Management ◽  
Disease Monitoring ◽  
Eating Behaviours ◽  
Chronic Patients ◽  
Non Invasive ◽  
Regulatory Guidelines ◽  
Critical Issues ◽  
Weight Management Programs

Technologies play an essential role in monitoring, managing, and self-management of chronic diseases. Since chronic patients rely on life-long healthcare systems and the current COVID-19 pandemic has placed limits on hospital care, there is a need to explore disease monitoring and management technologies and examine their acceptance by chronic patients. We systematically examined the use of smartphone applications (apps) in chronic disease monitoring and management in databases, namely, Medline, Web of Science, Embase, and Proquest, published from 2010 to 2020. Results showed that app-based weight management programs had a significant effect on healthy eating and physical activity (p = 0.002), eating behaviours (p < 0.001) and dietary intake pattern (p < 0.001), decreased mean body weight (p = 0.008), mean Body Mass Index (BMI) (p = 0.002) and mean waist circumference (p < 0.001). App intervention assisted in decreasing the stress levels (paired t-test = 3.18; p < 0.05). Among cancer patients, we observed a high acceptance of technology (76%) and a moderately positive correlation between non-invasive electronic monitoring data and questionnaire (r = 0.6, p < 0.0001). We found a significant relationship between app use and standard clinical evaluation and high acceptance of the use of apps to monitor the disease. Our findings provide insights into critical issues, including technology acceptance along with regulatory guidelines to be considered when designing, developing, and deploying smartphone solutions targeted for chronic patients.

scholarly journals Material characterisation of a painted beehive panel by advanced spectroscopic and chromatographic techniques in combination with hyperspectral imaging

2020 ◽  
Vol 8 (1) ◽  
Author(s):  
Klara Retko ◽  
Maša Kavčič ◽  
Lea Legan ◽  
Polonca Ropret ◽  
Bojana Rogelj Škafar ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Hyperspectral Imaging ◽  
Cross Sections ◽  
Extreme Temperature ◽  
Transformation Products ◽  
Paint Layer ◽  
Non Invasive ◽  
Painting Technique ◽  
Invasive Techniques ◽  
Conservation Interventions

AbstractIn this study, a painted beehive panel from the collection of the Slovene Ethnographic Museum was examined with respect to its material composition with the aim to reveal the painting technique. Due to the state of degradation due to outdoor weathering (UV irradiation, rainfall, extreme temperature and humidity fluctuations), as well as past conservation interventions, the object represented a complex analytical challenge. We aimed for non-invasive techniques (FTIR in reflection mode, Raman spectroscopy and hyperspectral imaging in the range of 400–2500 nm); however, in order to explore paint layers, cross-sections were also analysed using Raman spectroscopy. FTIR spectroscopy in transmission mode and gas chromatography coupled to mass spectrometry were also used on sample fragments. Various original materials were identified such as pigments and binders. The surface coating applied during conservation interventions was also characterised. Additionally, organic compounds were found (oxalate, carboxylate), representing transformation products. The potential use of Prussian blue as a background paint layer is discussed.

Non-invasive analysis of hormonal variations and effect of postmenopausal Vagifem treatment on women using in vivo high wavenumber confocal Raman spectroscopy

The Analyst ◽  
2013 ◽  
Vol 138 (14) ◽  
pp. 4120 ◽  
Author(s):  
Shiyamala Duraipandian ◽  
Wei Zheng ◽  
Joseph Ng ◽  
Jeffrey J. H. Low ◽  
A. Ilancheran ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Confocal Raman Spectroscopy ◽  
Non Invasive ◽  
Confocal Raman

scholarly journals Deep Raman spectroscopy for the non-invasive standoff detection of concealed chemical threat agents

Talanta ◽  
2012 ◽  
Vol 94 ◽  
pp. 342-347 ◽  
Author(s):  
Emad L. Izake ◽  
Biju Cletus ◽  
William Olds ◽  
Shankaran Sundarajoo ◽  
Peter M. Fredericks ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Non Invasive ◽  
Standoff Detection

Raman Spectroscopy System for Non-invasive Blood Glucose Detection

2017 ◽  
Vol 46 (8) ◽  
pp. 812005 ◽  
Author(s):  
郑毅 ZHENG Yi ◽  
朱香平 ZHU Xiang-ping ◽  
聂荣志 NIE Rong-zhi ◽  
高飞 GAO Fei ◽  
崔晓霞 CUI Xiao-xia ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Blood Glucose ◽  
Glucose Detection ◽  
Non Invasive ◽  
Spectroscopy System

Investigation of chemical composition of meat using spatially off-set Raman spectroscopy

The Analyst ◽  
2019 ◽  
Vol 144 (8) ◽  
pp. 2618-2627 ◽  
Author(s):  
Saeideh Ostovar pour ◽  
Stephanie M. Fowler ◽  
David L. Hopkins ◽  
Peter J. Torley ◽  
Harsharn Gill ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Chemical Composition ◽  
Biological Tissues ◽  
Non Invasive

Spatially off-set Raman spectroscopy (SORS) offers non-invasive chemical characterisation of the sub-surface of various biological tissues as it permits the assessment of diffusely scattering samples at depths of several orders of magnitude deeper than conventional Raman spectroscopy.

scholarly journals Confocal Raman spectroscopy: Evaluation of a non-invasive technique for the detection of topically applied ketorolac tromethamine in vitro and in vivo

2019 ◽  
Vol 570 ◽  
pp. 118641 ◽  
Author(s):  
Christian J.F. Bertens ◽  
Shuo Zhang ◽  
Roel J. Erckens ◽  
Frank J.H.M. van den Biggelaar ◽  
Tos T.J.M. Berendschot ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Invasive Technique ◽  
Ketorolac Tromethamine ◽  
Confocal Raman Spectroscopy ◽  
Non Invasive ◽  
Confocal Raman
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