scholarly journals Sensitive and specific discrimination of pathogenic and nonpathogenic Escherichia coli using Raman spectroscopy—a comparison of two multivariate analysis techniques

2013 ◽  
Vol 4 (4) ◽  
pp. 481 ◽  
Author(s):  
Khozima Hamasha ◽  
Qassem I. Mohaidat ◽  
Russell A. Putnam ◽  
Ryan C. Woodman ◽  
Sunil Palchaudhuri ◽  
...  
Keyword(s):  
Escherichia Coli ◽  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Analysis Techniques

scholarly journals Decomposition of in vivo spatially offset Raman spectroscopy data using multivariate analysis techniques

2014 ◽  
Vol 45 (2) ◽  
pp. 188-192 ◽  
Author(s):  
Kevin Buckley ◽  
Jemma G. Kerns ◽  
Anthony W. Parker ◽  
Allen E. Goodship ◽  
Pavel Matousek
Keyword(s):  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Spectroscopy Data ◽  
Analysis Techniques ◽  
Raman Spectroscopy Data

scholarly journals In vitro monitoring of time and dose dependent cytotoxicity of aminated nanoparticles using Raman spectroscopy

The Analyst ◽  
2016 ◽  
Vol 141 (18) ◽  
pp. 5417-5431 ◽  
Author(s):  
Esen Efeoglu ◽  
Alan Casey ◽  
Hugh J. Byrne
Keyword(s):  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Cellular Toxicity ◽  
Molecular Changes ◽  
Analysis Techniques ◽  
Raman Spectral ◽  
Dose Dependent

Monitoring of time and dose dependent molecular changes by using Raman spectroscopy with the aid of multivariate analysis techniques and determination of Raman spectral markers of cellular toxicity.

scholarly journals Determination of nanoparticle localisation within subcellular organelles in vitro using Raman spectroscopy

2015 ◽  
Vol 7 (23) ◽  
pp. 10000-10017 ◽  
Author(s):  
Esen Efeoglu ◽  
Mark Keating ◽  
Jennifer McIntyre ◽  
Alan Casey ◽  
Hugh J. Byrne
Keyword(s):  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Local Environment ◽  
Analytical Tool ◽  
Subcellular Organelles ◽  
Analysis Techniques ◽  
Powerful Analytical Tool

Raman spectroscopy with the aid of Multivariate Analysis techniques is a powerful analytical tool to determine the localisation of nanoparticles and their local environment within subcellular organelles.

Raman spectroscopy combined with multivariate analysis techniques as a potential tool for semen investigation

2014 ◽  
Author(s):  
Zufang Huang ◽  
Jinyong Lin ◽  
Gang Cao ◽  
Xiwen Chen ◽  
Yongzeng Li ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Analysis Techniques ◽  
Potential Tool

Assessment of mezcal aging combining Raman spectroscopy and multivariate analysis techniques

2017 ◽  
Vol 6 (1-2) ◽  
pp. 75-81 ◽  
Author(s):  
M.G. Ramírez-Elías ◽  
E. Guevara ◽  
C. Zamora-Pedraza ◽  
J. Rogelio Aguirre R. ◽  
Bertha I. Juárez F. ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Analysis Techniques

BUSINESS FAILURE PREDICTION USING ROUGH SETS: A COMPARISON WITH MULTIVARIATE ANALYSIS TECHNIQUES

1999 ◽  
Vol 04 (01) ◽  
Author(s):  
C. Zopounidis ◽  
M. Doumpos ◽  
R. Slowinski ◽  
R. Susmaga ◽  
A. I. Dimitras
Keyword(s):  
Multivariate Analysis ◽  
Rough Sets ◽  
Failure Prediction ◽  
Business Failure ◽  
Analysis Techniques

scholarly journals Indication of high lipid content in epithelial-mesenchymal transitions of breast tissues

2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Siti Norbaini Sabtu ◽  
S. F. Abdul Sani ◽  
L. M. Looi ◽  
S. F. Chiew ◽  
Dharini Pathmanathan ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Raman Spectroscopy ◽  
Multivariate Analysis ◽  
Nucleic Acids ◽  
Raman Spectra ◽  
Cancer Progression ◽  
Component Analysis ◽  
Breast Cancer Tissue ◽  
Metabolic Changes ◽  
Cancer Tissue

AbstractThe epithelial-mesenchymal transition (EMT) is a crucial process in cancer progression and metastasis. Study of metabolic changes during the EMT process is important in seeking to understand the biochemical changes associated with cancer progression, not least in scoping for therapeutic strategies aimed at targeting EMT. Due to the potential for high sensitivity and specificity, Raman spectroscopy was used here to study the metabolic changes associated with EMT in human breast cancer tissue. For Raman spectroscopy measurements, tissue from 23 patients were collected, comprising non-lesional, EMT and non-EMT formalin-fixed and paraffin embedded breast cancer samples. Analysis was made in the fingerprint Raman spectra region (600–1800 cm−1) best associated with cancer progression biochemical changes in lipid, protein and nucleic acids. The ANOVA test followed by the Tukey’s multiple comparisons test were conducted to see if there existed differences between non-lesional, EMT and non-EMT breast tissue for Raman spectroscopy measurements. Results revealed that significant differences were evident in terms of intensity between the non-lesional and EMT samples, as well as the EMT and non-EMT samples. Multivariate analysis involving independent component analysis, Principal component analysis and non-negative least square were used to analyse the Raman spectra data. The results show significant differences between EMT and non-EMT cancers in lipid, protein, and nucleic acids. This study demonstrated the capability of Raman spectroscopy supported by multivariate analysis in analysing metabolic changes in EMT breast cancer tissue.

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