Detection and identification of explosive traces with low fill-factors using deep-ultraviolet resonance Raman detector

2021 ◽  
Author(s):  
Balakishore Yellampalle ◽  
Kenneth Witt
Keyword(s):  
Resonance Raman ◽  
Detection And Identification ◽  
Deep Ultraviolet ◽  
Ultraviolet Resonance Raman

Deep Ultraviolet Resonance Raman Spectroscopy of Explosives

2010 ◽  
Author(s):  
David D. Tuschel ◽  
Aleksandr V. Mikhonin ◽  
Brian E. Lemoff ◽  
Sanford A. Asher ◽  
P. M. Champion ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Resonance Raman Spectroscopy ◽  
Resonance Raman ◽  
Deep Ultraviolet ◽  
Ultraviolet Resonance Raman Spectroscopy ◽  
Ultraviolet Resonance Raman

scholarly journals Determining the stages of cellular differentiation using Deep Ultraviolet Resonance Raman Spectroscopy

2020 ◽  
Author(s):  
Nicole M. Ralbovsky ◽  
Paromita Dey ◽  
Bijan K. Dey ◽  
Igor K. Lednev
Keyword(s):  
Raman Spectroscopy ◽  
Cellular Differentiation ◽  
Resonance Raman Spectroscopy ◽  
Resonance Raman ◽  
Disease Diagnosis ◽  
Fundamental Process ◽  
Deep Ultraviolet ◽  
Ultraviolet Resonance Raman Spectroscopy ◽  
Ultraviolet Resonance Raman ◽  
Myoblast Cells

AbstractCellular differentiation is a fundamental process in which one cell type changes into one or more specialized cell types. Cellular differentiation starts at the beginning of embryonic development when a simple zygote begins to transform into a complex multicellular organism composed of various cell and tissue types. This process continues into adulthood when adult stem cells differentiate into more specialized cells for normal growth, regeneration, repair, and cellular turnover. Any abnormalities associated with this fundamental process of cellular differentiation is linked to life threatening conditions including degenerative diseases and cancers. Detection of undifferentiated and different stages of differentiated cells can be used for disease diagnosis but is often challenging due to the laborious procedures, expensive tools, and specialized technical skills which are required. Here, a novel approach, called deep ultraviolet resonance Raman spectroscopy, is used to study various stages of cellular differentiation using a well-known myoblast cell line as a model system. These cells proliferate in the growth medium and spontaneously differentiate in differentiation medium into myocytes and later into myotubes and myofibers. The cellular and molecular characteristics of these cells mimic very well actual muscle tissue in vivo. We have found that undifferentiated myoblast cells and myoblast cells differentiated at three different stages are able to be easily separated using deep ultraviolet resonance Raman spectroscopy in combination with chemometric techniques. Our study has a great potential to study cellular differentiation during normal development as well as to detect abnormal cellular differentiation in human pathological conditions in future studies.

Quantification of protein secondary structure content by multivariate analysis of deep-ultraviolet resonance Raman and circular dichroism spectroscopies

2014 ◽  
Vol 6 (6) ◽  
pp. 1691-1699 ◽  
Author(s):  
Olayinka O. Oshokoya ◽  
Carol A. Roach ◽  
Renee D. JiJi
Keyword(s):  
Multivariate Analysis ◽  
Secondary Structure ◽  
Protein Function ◽  
Resonance Raman ◽  
Protein Secondary Structure ◽  
Secondary Structure Content ◽  
Deep Ultraviolet ◽  
Ultraviolet Resonance Raman ◽  
Β Sheet

Determination of protein secondary structure (α-helical, β-sheet, and disordered motifs) has become an area of great importance in biochemistry and biophysics as protein secondary structure is directly related to protein function and protein related diseases.

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