Classification of Sulfadimidine and Sulfapyridine in Duck Meat by Surface Enhanced Raman Spectroscopy Combined with Principal Component Analysis and Support Vector Machine

2020 ◽  
Vol 53 (10) ◽  
pp. 1513-1524
Author(s):  
Xu Ning ◽  
Liu Mu-Hua ◽  
Yuan Hai-Chao ◽  
Huang Shuang-Gen ◽  
Wang Xiao ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Support Vector Machine ◽  
Raman Spectroscopy ◽  
Principal Component ◽  
Component Analysis ◽  
Surface Enhanced Raman Spectroscopy ◽  
Support Vector ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Bacillus Spore Classification via Surface-Enhanced Raman Spectroscopy and Principal Component Analysis

2008 ◽  
Vol 62 (3) ◽  
pp. 267-272 ◽  
Author(s):  
J. Guicheteau ◽  
L. Argue ◽  
D. Emge ◽  
A. Hyre ◽  
M. Jacobson ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Raman Spectroscopy ◽  
Bacterial Species ◽  
Principal Component ◽  
Component Analysis ◽  
Surface Enhanced Raman Spectroscopy ◽  
Raman Signal ◽  
Surface Enhanced ◽  
Surface Enhanced Raman ◽  
Bacillus Spores

Surface-enhanced Raman spectroscopy (SERS) can provide rapid fingerprinting of biomaterial in a nondestructive manner. The adsorption of colloidal silver to biological material suppresses native biofluorescence while providing electromagnetic surface enhancement of the normal Raman signal. This work validates the applicability of qualitative SER spectroscopy for analysis of bacterial species by utilizing principal component analysis (PCA) to show discrimination of biological threat simulants, based upon multivariate statistical confidence limits bounding known data clusters. Gram-positive Bacillus spores ( Bacillus atrophaeus, Bacillus anthracis, and Bacillus thuringiensis) are investigated along with the Gram-negative bacterium Pantoea agglomerans.

Evaluation of cigarette flavoring quality via surface-enhanced Raman spectroscopy

2018 ◽  
Vol 54 (77) ◽  
pp. 10882-10885 ◽  
Author(s):  
Shi-Qiang Xu ◽  
Bao-Ying Wen ◽  
Li-Na Zhang ◽  
Hua Zhang ◽  
Yang Gao ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Raman Spectroscopy ◽  
Au Nanoparticles ◽  
Principal Component ◽  
Component Analysis ◽  
Surface Enhanced Raman Spectroscopy ◽  
Monolayer Films ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Herein, surface-enhanced Raman spectroscopy (SERS) combined with principal component analysis (PCA) has been successfully applied in the evaluation of cigarette flavoring quality using monolayer films of Au nanoparticles as substrates.

Detection and identification of human fungal pathogens using surface-enhanced Raman spectroscopy and principal component analysis

2016 ◽  
Vol 8 (48) ◽  
pp. 8427-8434 ◽  
Author(s):  
Evelin Witkowska ◽  
Tomasz Jagielski ◽  
Agnieszka Kamińska ◽  
Aneta Kowalska ◽  
Anita Hryncewicz-Gwóźdź ◽  
...  
Keyword(s):  
Principal Component Analysis ◽  
Raman Spectroscopy ◽  
Fungal Pathogens ◽  
Reliable Method ◽  
Principal Component ◽  
Component Analysis ◽  
Surface Enhanced Raman Spectroscopy ◽  
Detection And Identification ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

SERS offers a fast and reliable method for human fungal pathogens detection.

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