The growth of the passive film on iron in 0.05 M NaOH studied in situ by Raman micro-spectroscopy and electrochemical polarisation. Part I: near-resonance enhancement of the Raman spectra of iron oxide and oxyhydroxide compounds

2010 ◽  
Vol 42 (6) ◽  
pp. 1335-1339 ◽  
Author(s):  
M. K. Nieuwoudt ◽  
J. D. Comins ◽  
I. Cukrowski

2006 ◽  
Vol 34 (4) ◽  
pp. 1175-1182 ◽  
Author(s):  
I. Banerjee ◽  
N.K. Joshi ◽  
S.N. Sahasrabudhe ◽  
N.V. Kulkarni ◽  
S. Karmakar ◽  
...  




Author(s):  
Yan Liu ◽  
Qiang Zhou ◽  
Yalan Yan ◽  
Liang Li ◽  
Jian Zhu ◽  
...  

Pressure has been considered as an effective technique to modulate the structural, electronic, and optical properties of transition metal dichalcogenides (TMDs) materials. Here, by performing in situ high pressure Raman,...



Author(s):  
Vijendra Kumar Yadav ◽  
Taraknath Das

Alumina-supported Fe-Mn oxide catalysts were synthesized by the incipient wetness impregnation method. The catalysts were characterized by using various characterization techniques such as surface area, XRD, H2-TPR, and Raman spectra...



Biosensors ◽  
2018 ◽  
Vol 8 (4) ◽  
pp. 106 ◽  
Author(s):  
Andrey N. Kuzmin ◽  
Artem Pliss ◽  
Alex Rzhevskii ◽  
Adrian Lita ◽  
Mioara Larion

Raman microspectroscopy is a rapidly developing technique, which has an unparalleled potential for in situ proteomics, lipidomics, and metabolomics, due to its remarkable capability to analyze the molecular composition of live cells and single cellular organelles. However, the scope of Raman spectroscopy for bio-applications is limited by a lack of software tools for express-analysis of biomolecular composition based on Raman spectra. In this study, we have developed the first software toolbox for immediate analysis of intracellular Raman spectra using a powerful biomolecular component analysis (BCA) algorithm. Our software could be easily integrated with commercial Raman spectroscopy instrumentation, and serve for precise analysis of molecular content in major cellular organelles, including nucleoli, endoplasmic reticulum, Golgi apparatus, and mitochondria of either live or fixed cells. The proposed software may be applied in broad directions of cell science, and serve for further advancement and standardization of Raman spectroscopy.



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