Tucker3 modelling on EEMF spectroscopic data sets using restraint initialisation of spectral variables: Fluorimetric analysis of mixtures consisting of bioactive molecules

Luminescence ◽  
2021 ◽  
Author(s):  
Keshav Kumar
Keyword(s):  
Spectroscopic Data ◽  
Bioactive Molecules ◽  
Data Sets ◽  
Fluorimetric Analysis

scholarly journals Napthrene Compounds from Mycelial Fermentation Products of Marasmius berteroi

Molecules ◽  
2020 ◽  
Vol 25 (17) ◽  
pp. 3898
Author(s):  
Ning Ning Yang ◽  
Qing Yun Ma ◽  
Fan Dong Kong ◽  
Qing Yi Xie ◽  
Hao Fu Dai ◽  
...  
Keyword(s):  
Tumor Cell ◽  
Spectroscopic Data ◽  
2D Nmr ◽  
Bioactive Molecules ◽  
Tumor Cell Lines ◽  
Active Metabolites ◽  
Fermentation Products ◽  
Inhibitory Activities ◽  
Mycelial Fermentation ◽  
Good Research

The metabolites of the genus Marasmius are diverse, showing good research prospects for finding new bioactive molecules. In order to explore the active metabolites of the fungi Marasmius berteroi, the deep chemical investigation on the bioactive compounds from its cultures was undertaken, which led to the isolation of three new naphthalene compounds dipolynaphthalenes A–B (1,2) and naphthone C (3), as well as 12 known compounds (4–15). Compounds 1, 2, and 4 are dimeric naphthalene compounds. Their structures were elucidated by MS, 1D and 2D NMR spectroscopic data, as well as ECD calculations. Compounds 2–4 and 7 exhibited acetylcholinesterase (AChE) inhibitory activities at the concentration of 50 μg/mL with inhibition ratios of 42.74%, 44.63%, 39.50% and 51.49%, respectively. Compounds 5 and 7,8 showed weak inhibitory activities towards two tumor cell lines, with IC50 of 0.10, 0.076 and 0.058 mM (K562) and 0.13, 0.18, and 0.15 mM (SGC-7901), respectively.

Potential of spectroscopic data sets for sugarcane thrips (Fulmekiola serrata Kobus) damage detection

2010 ◽  
Vol 31 (15) ◽  
pp. 4199-4216 ◽  
Author(s):  
Elfatih M. Abdel-Rahman ◽  
Fethi B. Ahmed ◽  
Maurits van den Berg ◽  
Mike J. Way
Keyword(s):  
Damage Detection ◽  
Spectroscopic Data ◽  
Data Sets

Self-Modeling Curve Resolution Recovery of Temporal Metabolite Signal Modulation in NMR Spectroscopic Data Sets: Application to a Life-Long Caloric Restriction Study in Dogs

2008 ◽  
Vol 80 (13) ◽  
pp. 4876-4885 ◽  
Author(s):  
Selena E. Richards ◽  
Yulan Wang ◽  
Dennis Lawler ◽  
Sunil Kochhar ◽  
Elaine Holmes ◽  
...  
Keyword(s):  
Caloric Restriction ◽  
Spectroscopic Data ◽  
Data Sets ◽  
Signal Modulation ◽  
Resolution Recovery ◽  
Curve Resolution

scholarly journals Stellar coronal mass ejections – II. Constraints from spectroscopic observations

2020 ◽  
Vol 494 (3) ◽  
pp. 3766-3783 ◽  
Author(s):  
P Odert ◽  
M Leitzinger ◽  
E W Guenther ◽  
P Heinzel
Keyword(s):  
Coronal Mass Ejections ◽  
Spectroscopic Data ◽  
Signal To Noise Ratio ◽  
Activity Level ◽  
Balmer Line ◽  
Data Sets ◽  
M Dwarfs ◽  
Saturation Regime ◽  
Spectroscopic Observations ◽  
Balmer Lines

ABSTRACT Detections of stellar coronal mass ejections (CMEs) are still rare. Observations of strong Balmer line asymmetries during flare events have been interpreted as being caused by CMEs. Here, we aim to estimate the maximum possible Balmer line fluxes expected from CMEs to infer their detectability in spectroscopic observations. Moreover, we use these results together with a model of intrinsic CME rates to infer the potentially observable CME rates for stars of different spectral types under various observing conditions, as well as the minimum required observing time to detect stellar CMEs in Balmer lines. We find that generally CME detection is favoured for mid- to late-type M dwarfs, as they require the lowest signal-to-noise ratio for CME detection, and the fraction of observable-to-intrinsic CMEs is largest. They may require, however, longer observing times than stars of earlier spectral types at the same activity level, as their predicted intrinsic CME rates are lower. CME detections are generally favoured for stars close to the saturation regime, because they are expected to have the highest intrinsic rates; the predicted minimum observing time to detect CMEs on just moderately active stars is already >100 h. By comparison with spectroscopic data sets including detections as well as non-detections of CMEs, we find that our modelled maximum observable CME rates are generally consistent with these observations on adopting parameters within the ranges determined by observations of solar and stellar prominences.

scholarly journals HEROS Be Star Campaigns

2000 ◽  
Vol 175 ◽  
pp. 356-363 ◽  
Author(s):  
S. Štefl ◽  
T. Rivinius
Keyword(s):  
High Frequency ◽  
Spectroscopic Data ◽  
Spectral Lines ◽  
Frequency Resolution ◽  
High Spectral Resolution ◽  
Data Sets ◽  
Strong Impact ◽  
Be Stars ◽  
Be Star ◽  
Different Parts

AbstractSystematic Be star observations with the HEROS spectrograph have been carried out in several long observing runs and seasons, mainly at the ESO La Silla Observatory. The HEROS data represents one of the most extended spectroscopic data sets for the Be star research. More complete and efficient diagnostics and a higher frequency resolution in analyses of periodic spectral variations were achieved, thanks to a combination of relatively high spectral resolution, a large sample of monitored spectral lines of different formation properties, long observing runs, and a relatively high frequency of observations of main targets.Important results concerning different parts of the extended atmospheres of Be stars and having strong impact on our understanding of these objects have been achieved.

Efficient Analysis of Single Molecule Spectroscopic Data via MATLAB

2012 ◽  
Vol 1493 ◽  
pp. 309-314 ◽  
Author(s):  
Caleb M. Hill ◽  
Shanlin Pan
Keyword(s):  
Image Analysis ◽  
Single Molecule ◽  
Spectroscopic Data ◽  
Optical Microscope ◽  
Data Sets ◽  
Single Molecule Imaging ◽  
High Background ◽  
Matlab Program

ABSTRACTA MATLAB program is developed to help analyze single molecule spectroscopic data obtained with a standard inverted optical microscope. The described software has provisions to mitigate the effects of high background signals present in such data sets and greatly streamlines their analysis. Efficient single molecule image analysis and statistical blinking analysis are enabled with these programs to support single molecule imaging in an inverted configuration.

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