A study of the spectral behaviour of Eosin dye in three states of metallosurfactants: Monomeric, micelles and metallosomes

2021 ◽  
Vol 610 ◽  
pp. 125697
Author(s):  
Preeti Garg ◽  
Baljinder Kaur ◽  
Gurpreet Kaur ◽  
Sakshi Saini ◽  
Ganga Ram Chaudhary
Keyword(s):  
Spectral Behaviour

scholarly journals Discrimination of structural isomers of amphetamine using carbon dioxide negative-ion chemical ionization mass spectrometry

1997 ◽  
Vol 13 (2) ◽  
pp. 151-161 ◽  
Author(s):  
Kevin B. Thurbide ◽  
C. M. Elson ◽  
P. G. Sim
Keyword(s):  
Carbon Dioxide ◽  
Mass Spectra ◽  
Chemical Ionization ◽  
Negative Ion ◽  
Ionization Mass ◽  
Structural Isomers ◽  
Mass Spectral ◽  
Negative Ion Chemical Ionization ◽  
Spectral Behaviour ◽  
Carbon Dioxide Plasma

The negative‒ion chemical ionization mass spectra of a group of structural isomers of amphetamine have been studied using carbon dioxide as the reagent gas. Characteristic and reproducible differences are observed for each member of the set implying that this technique offers a means of distinguishing among groups of amphetamine isomers. Characteristic adducts to the molecular ion are observed in the form (M–[H]+[O]) and (M–[H]+[CO2]). Descriptions of some fragments are given based on the mass spectral behaviour of a set of analogue compounds and the results of oxygen-18 labelled carbon dioxide reagent gas experiments. Contents of the carbon dioxide plasma and their impact on various analytes is also discussed.

Far-field spectral behaviour and spectral switching of super-Gaussian pulses

2008 ◽  
Vol 281 (19) ◽  
pp. 4829-4834 ◽  
Author(s):  
Soumendu Jana ◽  
S. Konar
Keyword(s):  
Far Field ◽  
Spectral Behaviour

Synthesis and Spectral Behaviour of Some New Uninuclear Pyrimidine 2[2(4)]-Mono(Tri)-Methine Cyanine Dyes

2000 ◽  
Vol 47 (3) ◽  
pp. 519-525 ◽  
Author(s):  
H. A. Shindy ◽  
R. M. Abd El-Aal ◽  
A. I. M. Koraiem
Keyword(s):  
Cyanine Dyes ◽  
Spectral Behaviour

Poly(octyl-thiophene) polymorphs under high pressure: Synchrotron X-Rays studies and the relation with spectral behaviour

1999 ◽  
Vol 101 (1-3) ◽  
pp. 98-99 ◽  
Author(s):  
E.J. Samuelsen ◽  
J. Mårdalen ◽  
O.R. Konestabo ◽  
M. Hanfland ◽  
M. Lorenzen
Keyword(s):  
High Pressure ◽  
X Rays ◽  
Spectral Behaviour

scholarly journals ANÁLISIS DE COMPONENTES PRINCIPALES DE IMÁGENES MULTIESPECTRALES EN EL ÁMBITO DEL ARTE RUPESTRE

2017 ◽  
Author(s):  
Berta Carrión-Ruiz ◽  
José Luis Lerma
Keyword(s):  
Principal Component Analysis ◽  
Near Infrared ◽  
Rock Art ◽  
Visible Region ◽  
Principal Component ◽  
Optical Filters ◽  
Infrared Region ◽  
Spectral Behaviour ◽  
Near Infrared Region ◽  
Art Analysis

This paper tackles principal component analysis (PCA) in images that include wavelengths between 380-1000 nm. Our approach is focussed on taking advantage of the potencial of ultraviolet and infrarred images, in combination with the visible ones, to improve documentation process and rock art analysis. In this way, we want to improve the discrimination between pigment and support rock, and analyse the spectral behaviour of rock art paintings in the ultraviolet and infrared regions. Three images were used, one image from the ultraviolet (UV) region, one from the visible region (VIS) and another one from the near infrared region (NIR). Optical filters coupled to the camera optics were used to take the images. These filters capture specific wavelengths excluding radiation that we are not interested in registering. Finally, PCA is applied to the acquired images. The results obtained demonstrate the PCA usefulness with imagery in this field and also it is possible to extract some conclusions about the correspondent paint pigments.http://dx.doi.org/10.4995/CIGeo2017.2017.6597

Chromatographic and spectral behaviour and detection of hepatotoxic nodularin in fish, clam, mussel and mouse tissues using HPLC analysis

2002 ◽  
Vol 55 (3-4) ◽  
pp. 157-162 ◽  
Author(s):  
H. T. Kankaanpää ◽  
K. M. Vuorensola ◽  
V. O. Sipiä ◽  
J. A. O. Meriluoto
Keyword(s):  
Hplc Analysis ◽  
Mouse Tissues ◽  
Spectral Behaviour
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