Confocal Raman microspectral analysis and imaging of the drug response of osteosarcoma to cisplatin

2021 ◽  
Author(s):  
Haifeng Wang ◽  
Jing Li ◽  
Jie Qin ◽  
Jie Li ◽  
Yishen Chen ◽  
...  

Confocal Raman microspectral analysis and imaging was used to elucidate the drug response of osteosarcoma (OS) to cisplatin. Raman spectral data were obtained from OS cells that were untreated (UT...

2008 ◽  
Author(s):  
Chen Chen ◽  
Fei Peng ◽  
Qinghua Cheng ◽  
Dahai Xu

1997 ◽  
Vol 51 (3) ◽  
pp. 407-415 ◽  
Author(s):  
V. Vacque ◽  
N. Dupuy ◽  
B. Sombret ◽  
J. P. Huvenne ◽  
P. Legrand

In the analytical environment, spectral data resulting from analysis of samples often represent mixtures of several components. Extraction of information about pure components of these kinds of mixtures is a major problem, especially when reference spectra are not available or when unstable intermediates are formed. Self-modeling multivariate mixture analysis has been developed for this type of problem. In this paper two examples will be used to show the potential of this technique coupled with FT-Raman spectroscopy to elucidate reaction mechanisms and to follow in situ the kinetics of chemical transformations.


2011 ◽  
Vol 989 (1-3) ◽  
pp. 38-44
Author(s):  
Anne Horn ◽  
Henning Hopf ◽  
Peter Klaeboe

Author(s):  
Xiaoyu Zhao ◽  
Zihao Liu ◽  
Yan He ◽  
Wei Zhang ◽  
Liang Tong

2014 ◽  
Vol 45 (10) ◽  
pp. 930-940 ◽  
Author(s):  
Wilm Schumacher ◽  
Stephan Stöckel ◽  
Petra Rösch ◽  
Jürgen Popp

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