Diagnosis of atherosclerosis in human carotid artery by FT-Raman spectroscopy: Principal Components Analysis algorithm

2004 ◽  
Author(s):  
Grazielle V. Nogueira ◽  
Landulfo Silveira, Jr. ◽  
Airton A. Martin ◽  
Renato A. Zangaro ◽  
Marcos T. Pacheco ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Carotid Artery ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Analysis Algorithm ◽  
Ft Raman Spectroscopy ◽  
Components Analysis ◽  
Human Carotid ◽  
Ft Raman

scholarly journals Raman investigation of corrosion products on Roman copper-based artefacts

ACTA IMEKO ◽  
2021 ◽  
Vol 10 (1) ◽  
pp. 129
Author(s):  
Leila Es Sebar ◽  
Leonardo Iannucci ◽  
Yuval Goren ◽  
Peter Fabian ◽  
Emma Angelini ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Principal Components Analysis ◽  
Principal Components ◽  
Roman Period ◽  
Corrosion Products ◽  
Beer Sheva ◽  
Chemometric Technique ◽  
Components Analysis ◽  
Main Components

<p class="Abstract">This paper illustrates a case study related to the characterisation of corrosion products present on recently excavated artefacts. The archaeological findings, from the Rakafot 54 site (Beer-Sheva, Israel), consist of 23 coins and a pendant, all dating back to the Roman period. Raman spectroscopy was used to identify the corrosion products that compose the patina covering the objects. To facilitate and support their identification, spectra were then processed using principal components analysis. This chemometric technique allowed the identification of two main compounds, classified as atacamite and clinoatacamite, which formed the main components of the patinas. The results of this investigation can help in assessing the conservation state of artefacts and defining the correct restoration strategy.</p>

scholarly journals FT-Raman spectroscopy study for skin cancer diagnosis

2003 ◽  
Vol 17 (2-3) ◽  
pp. 597-602 ◽  
Author(s):  
Lilian de Oliveira Nunes ◽  
Aírton Abrahão Martin ◽  
Landulfo Silveira Jr. ◽  
Marcelo Zampieri
Keyword(s):  
Raman Spectroscopy ◽  
Cancer Diagnosis ◽  
Primary Objective ◽  
Lesion Detection ◽  
Tissue Type ◽  
Biochemical Alterations ◽  
Spectral Changes ◽  
Ft Raman Spectroscopy ◽  
Components Analysis ◽  
Ft Raman

Early detection of cancer is still a great challenge in clinical oncology. Recently, Raman spectroscopy has been used for skin lesion detection. FT‒Raman spectroscopy is a modern analytical tool and its use for cancer diagnosis will lead to several advantages for the patient as, for example, real time and less invasive diagnosis. The primary objective of this work was to use FT‒Raman spectroscopy to detect spectral changes between benign and malignant (basal cell carcinoma – BCC) skin tissues. Those spectral changes can provide important information about the biochemical alterations between these two types of tissues. We have analyzed by FT‒Raman eight set of samples histopathologically diagnosed as BCC and made a comparison with five set of samples diagnosed as benign tissue. We have found that the main spectral differences between these samples were in the shift region of 1220–1300 cm–1and 1640–1680 cm–1. The vibration bands in these regions correspond to the amide III and to the amide I vibrations, respectively. Principal components analysis applied over all 13 samples could identify tissue type with 100% of sensitivity and specificity.

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