Ro-vibrational spectral features and pressure broadening dynamics of dideutero-methane (12CH2D2) in the ν9(B2) fundamental band

2022 ◽  
pp. 111572
Author(s):  
Biswajit Panda ◽  
Ardhendu Pal ◽  
Sanchi Maithani ◽  
Abhijit Maity ◽  
Manik Pradhan
Keyword(s):  
Spectral Features ◽  
Pressure Broadening ◽  
Fundamental Band

Measurement of the pressure-broadening coefficient of NO by saturation spectroscopy of LMR

2000 ◽  
Vol 78 (11) ◽  
pp. 989-995 ◽  
Author(s):  
Y Liu ◽  
J Lin ◽  
Y Guo
Keyword(s):  
Magnetic Resonance ◽  
Hyperfine Structure ◽  
Spectral Lines ◽  
The Self ◽  
Pressure Broadening ◽  
Fundamental Band ◽  
Saturation Spectroscopy ◽  
Intracavity Laser ◽  
Laser Magnetic Resonance

This paper presents a method for the determination of the pressure-broadening coefficient of 15N16O by 14N16O. The hyperfine-structure-resolved spectral lines of NO were obtained with an intracavity laser magnetic resonance spectrometer via Lamb dips. From the spectra, the self-broadening coefficient of the P2(5/2) transition of the 15N16O fundamental band due to its collision with 14N16O at 293 K is determined to be 0.092(7) cm–1/atm. PACS No.: 32.40

MEASUREMENT OF PRESSURE-BROADENING LINEWIDTHS OF NO FROM THE FITTING OF LMR SPECTRA WITH CORRECTIONS OF INSTRUMENTAL BROADENING

2000 ◽  
Vol 14 (11) ◽  
pp. 401-407 ◽  
Author(s):  
JIE-LI LIN ◽  
YU-YAN LIU ◽  
HONG-PING LIU ◽  
YUAN-QING QUO ◽  
XIAO-YONG LIU ◽  
...  
Keyword(s):  
Spectral Lines ◽  
Absorption Lines ◽  
Derivative Spectrum ◽  
Pressure Broadening ◽  
Fundamental Band ◽  
Band Spectra

For absorption lines, the distortion of spectral lines by experimental spectrometers must be considered in measuring linewidth which has been investigated by many authors. While in the derivative spectrum, we managed to give the corrections of instrumental broadening and distortion to obtain accurate linewidths. We developed a universal fitting program which was explored together with the method of correction in the fundamental band spectra of LMR of NO. The uncorrected halfwidths were compared with the corrected values, which were obtained from the program. The results of comparison are very satisfactory and demonstrate their useful application to analyze experimental spectra.

Dialect Identification Using Tonal and Spectral Features in Two Dialects of Ao

2018 ◽  
Author(s):  
Moakala Tzudir ◽  
Priyankoo Sarmah ◽  
S R Mahadeva Prasanna
Keyword(s):  
Spectral Features

Correlations of TCS and EELS spectral features for graphite, ZnSe(111) and CdTe(110)

1989 ◽  
Vol 213 (2-3) ◽  
pp. A218
Author(s):  
A. Dittmar-Wituski ◽  
M. Naparty ◽  
J. Skonieczny
Keyword(s):  
Spectral Features

scholarly journals Raman spectroscopic detection of interleukin-10 and angiotensin converting enzyme

2021 ◽  
Vol 17 (1) ◽  
Author(s):  
Shuo Zhang ◽  
Frederieke A. M. van der Mee ◽  
Roel J. Erckens ◽  
Carroll A. B. Webers ◽  
Tos T. J. M. Berendschot
Keyword(s):  
Angiotensin Converting Enzyme ◽  
Biomedical Applications ◽  
Interleukin 10 ◽  
Spectral Features ◽  
Converting Enzyme ◽  
Raman Spectroscopic ◽  
Non Invasive ◽  
Confocal Raman ◽  
First Time ◽  
Enzyme Characteristic

AbstractIn this report we present a confocal Raman system to identify the unique spectral features of two proteins, Interleukin-10 and Angiotensin Converting Enzyme. Characteristic Raman spectra were successfully acquired and identified for the first time to our knowledge, showing the potential of Raman spectroscopy as a non-invasive investigation tool for biomedical applications.

Sign in / Sign up

Export Citation Format

Share Document