scholarly journals PCR-DGGE Analysis: Unravelling Complex Mixtures of Badnavirus Sequences Present in Yam Germplasm

Viruses ◽  
2017 ◽  
Vol 9 (7) ◽  
pp. 181 ◽  
Author(s):  
Aliyu Turaki ◽  
Moritz Bömer ◽  
Gonçalo Silva ◽  
P. Kumar ◽  
Susan Seal
Keyword(s):  
Complex Mixtures ◽  
Dgge Analysis

Retention of some heterocyclic amines on mixed stationary phases containing nickel(II) Schiff base chelates

1989 ◽  
Vol 54 (6) ◽  
pp. 1530-1537 ◽  
Author(s):  
Joanna Masłowska ◽  
Grzegorz Bazylak
Keyword(s):  
Schiff Base ◽  
Stationary Phases ◽  
Capillary Columns ◽  
Heterocyclic Amines ◽  
Complex Mixtures ◽  
Amine Complexes ◽  
Mixed Stationary Phases ◽  
Classical Columns

Stationary phases composed of squalane and some nickel(II)-β-keto amine complexes were prepared and used for the separation of complex mixtures of pyridines. The resolution achieved on short classical columns was comparable with that obtained on capillary columns.

Compositional Analysis of Organosolv Poplar Lignin by Using High-Performance Liquid Chromatography/High-resolution Multi-stage Tandem Mass Spectrometry

2021 ◽  
Author(s):  
Jifa Zhang ◽  
Yuan Jiang ◽  
Leah F Easterling ◽  
Anton Anster ◽  
Wanru Li ◽  
...  
Keyword(s):  
Mass Spectrometry ◽  
High Performance Liquid Chromatography ◽  
Liquid Chromatography ◽  
High Performance ◽  
Compositional Analysis ◽  
Complex Mixtures ◽  
Tandem Mass ◽  
Multi Stage ◽  
The Individual ◽  
Environmentally Friendly Process

Organosolv treatment is an efficient and environmentally friendly process to degrade lignin into small compounds. The capability of characterizing the individual compounds in the complex mixtures formed upon organosolv treatment...

Absolute Quantification of Specific Proteins in Complex Mixtures Using Visible Isotope-Coded Affinity Tags

2004 ◽  
Vol 76 (14) ◽  
pp. 4104-4111 ◽  
Author(s):  
Yu Lu ◽  
Patricia Bottari ◽  
Frantisek Turecek ◽  
Ruedi Aebersold ◽  
Michael H. Gelb
Keyword(s):  
Absolute Quantification ◽  
Complex Mixtures ◽  
Affinity Tags ◽  
Specific Proteins

Corresponding states, complex mixtures and mixture models

1983 ◽  
Vol 14 ◽  
pp. 79-90 ◽  
Author(s):  
D.S.H. Wong ◽  
S.I. Sandler ◽  
A.S. Teja
Keyword(s):  
Mixture Models ◽  
Corresponding States ◽  
Complex Mixtures

scholarly journals How Relevant Is It to Use Mineral Proxies to Mimic the Atmospheric Reactivity of Natural Dust Samples? A Reactivity Study Using SO2 as Probe Molecule

Minerals ◽  
2021 ◽  
Vol 11 (3) ◽  
pp. 282
Author(s):  
Darya Urupina ◽  
Manolis N. Romanias ◽  
Frederic Thevenet
Keyword(s):  
High Performance ◽  
Real Life ◽  
Complex Mixtures ◽  
Experimental Conditions ◽  
The Real ◽  
Atmospheric Processes ◽  
Real Effects ◽  
Mineral Aerosols ◽  
Life Impact ◽  
Reactivity Study

The experimental investigation of heterogeneous atmospheric processes involving mineral aerosols is extensively performed in the literature using proxy materials. In this work we questioned the validity of using proxies such as Fe2O3, FeOOH, Al2O3, MgO, CaO, TiO2, MnO2, SiO2, and CaCO3 to represent the behavior of complex mixtures of minerals, such as natural desert and volcanic dusts. Five volcanic dusts and three desert dusts were compared to a number of metal oxides, commonly used in the literature to mimic the behavior of desert dusts in the ability to form sulfites and sulfates on the surface exposed to SO2 gas. First, all samples were aged at room temperature, atmospheric pressure, under controlled experimental conditions of 175 ppm SO2 for 1 h under 30% of relative humidity. Second, they were extracted with 1% formalin and analyzed by High-Performance Liquid Chromatography (HPLC) to quantify and compare the amount of sulfites and sulfates formed on their surfaces. It was evidenced that under the experimental conditions of this study neither one selected pure oxide nor a mixture of oxides can adequately typify the behavior of complex mixtures of natural minerals. Therefore, to evaluate the real-life impact of natural dust on atmospheric processes it is of vital importance to work directly with the natural samples, both to observe the real effects of desert and volcanic dusts and to evaluate the relevancy of proposed proxies.

scholarly journals Nitrogen-containing aromatic compounds: quantitative analysis using gas chromatography with nitrogen phosphorus detector

2021 ◽  
Author(s):  
Yuan Rao ◽  
Arno de Klerk
Keyword(s):  
Gas Chromatography ◽  
Quantitative Analysis ◽  
Aromatic Compounds ◽  
Process Development ◽  
Complex Mixtures ◽  
Response Factors ◽  
Cyanide Anion ◽  
Nitrogen Phosphorus Detector ◽  
Assurance Process ◽  
Nitrogen Containing Compounds

AbstractThe nitrogen-containing aromatic compounds found in the petrochemical industry are varied and extend beyond classes such as the anilines, pyrroles and pyridines. Quantification of these nitrogen-containing compounds that may occur in complex mixtures has practical application for quality assurance, process development and the evaluation of conversion processes. Selective detection of nitrogen-containing species in complex mixtures is possible by making use of gas chromatography coupled with a nitrogen phosphorous detector (GC-NPD), which is also called a thermionic detector. Despite the linearity of the NPD response to individual nitrogen-containing compounds, the response factor is different for different compounds and even isomers of the same species. Quantitative analysis using an NPD requires species-specific calibration. The reason for the sensitivity of the NPD to structure is related to the ease of forming the cyano-radical that is ionized to the cyanide anion, which is detected. The operation of the NPD was related to the processes of pyrolysis and subsequent ionization. It was possible to offer plausible explanations for differences in response factors for isomers based on pyrolysis chemistry. Due to this relationship, the NPD response can in the same way be used to provide information of practical relevance beyond its analytical value and a few possible applications were outlined.

scholarly journals Microbial Population Changes during Bioremediation of an Experimental Oil Spill

1999 ◽  
Vol 65 (8) ◽  
pp. 3566-3574 ◽  
Author(s):  
Sarah J. MacNaughton ◽  
John R. Stephen ◽  
Albert D. Venosa ◽  
Gregory A. Davis ◽  
Yun-Juan Chang ◽  
...  
Keyword(s):  
Microbial Community ◽  
Bacterial Community ◽  
Oil Spill ◽  
Phospholipid Fatty Acid ◽  
Community Structures ◽  
Gram Negative ◽  
Dgge Analysis ◽  
16S Rdna Pcr ◽  
Microbial Community Structures ◽  
Plfa Analysis

ABSTRACT Three crude oil bioremediation techniques were applied in a randomized block field experiment simulating a coastal oil spill. Four treatments (no oil control, oil alone, oil plus nutrients, and oil plus nutrients plus an indigenous inoculum) were applied. In situ microbial community structures were monitored by phospholipid fatty acid (PLFA) analysis and 16S rDNA PCR-denaturing gradient gel electrophoresis (DGGE) to (i) identify the bacterial community members responsible for the decontamination of the site and (ii) define an end point for the removal of the hydrocarbon substrate. The results of PLFA analysis demonstrated a community shift in all plots from primarily eukaryotic biomass to gram-negative bacterial biomass with time. PLFA profiles from the oiled plots suggested increased gram-negative biomass and adaptation to metabolic stress compared to unoiled controls. DGGE analysis of untreated control plots revealed a simple, dynamic dominant population structure throughout the experiment. This banding pattern disappeared in all oiled plots, indicating that the structure and diversity of the dominant bacterial community changed substantially. No consistent differences were detected between nutrient-amended and indigenous inoculum-treated plots, but both differed from the oil-only plots. Prominent bands were excised for sequence analysis and indicated that oil treatment encouraged the growth of gram-negative microorganisms within the α-proteobacteria andFlexibacter-Cytophaga-Bacteroides phylum. α-Proteobacteria were never detected in unoiled controls. PLFA analysis indicated that by week 14 the microbial community structures of the oiled plots were becoming similar to those of the unoiled controls from the same time point, but DGGE analysis suggested that major differences in the bacterial communities remained.

scholarly journals Accelerated Passive Dosing of Hydrophobic Complex Mixtures–Controlling the Level and Composition in Aquatic Tests

2020 ◽  
Vol 54 (8) ◽  
pp. 4974-4983
Author(s):  
Rikke Hammershøj ◽  
Heidi Birch ◽  
Karina K Sjøholm ◽  
Philipp Mayer
Keyword(s):  
Complex Mixtures ◽  
Passive Dosing

PAPER CHROMATOGRAPHY OF COMPLEX BIOLOGICAL MATERIALS BY SOLVENT REDEVELOPMENT WITHOUT PRIOR REMOVAL OF SALTS OR PROTEINS

1960 ◽  
Vol 38 (10) ◽  
pp. 1137-1147 ◽  
Author(s):  
Arthur E. Pasieka
Keyword(s):  
Amino Acids ◽  
Paper Chromatography ◽  
Filter Paper ◽  
Complex Mixtures ◽  
Two Dimensional ◽  
One Dimensional ◽  
Equivalent Time ◽  
Biological Compounds ◽  
High Concentrations ◽  
Subsequent Staining

A solvent redeveloping technique has been devised by which amino acids, peptides, and sugars can be separated from complex mixtures in the presence of high concentrations of salts and proteins. The separations are effected by two to four successive 18-hour solvent developments with drying between each 18-hour period before subsequent staining of the chromatograms. Better separations and resolutions are obtained by such successive 18-hour solvent developments than by one continuous solvent development for an equivalent time. The effect of these redevelopments on the separations and resolutions of biological compounds is illustrated at various stages by photographs of one- and two-dimensional chromatograms. The redevelopment technique requires filter paper sheets up to 4 ft in length for one-dimensional analytical and preparative types of chromatograms.

Spectrophotometric determination of salicylamide in complex mixtures

1975 ◽  
Vol 64 (1) ◽  
pp. 125-128 ◽  
Author(s):  
Joseph Joy ◽  
Laszlo Szekeres
Keyword(s):  
Spectrophotometric Determination ◽  
Complex Mixtures
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