Micellar solutions in contraction slit-flow: Alignment mapped by SANS

The electrooxidation of luminol in alkaline solutions in the presence of cetyltrimethylammonium bromide (I) was studied by linear sweep voltammetry on fixed and vibrating platinum electrodes. The presence of I in low concentrations (below the critical micellar concentration) brings about aggregation of the luminol, which is manifested by an increase in the anodic peak height and its shift towards lower potentials. In micellar solutions the peak height decreases owing to the slower diffusion of the bulkier micelles, the shift to lower potentials being preserved. The light-voltage curves correspond with the voltammetric curves, exhibiting identical shifts of the peak potentials in dependence on the concentration of the surfactant.

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Hydration of Aliphatic Aldehydes in Micellar Solutions

Materials Science Forum ◽

10.4028/www.scientific.net/msf.25-26.335 ◽

1988 ◽

Vol 25-26 ◽

pp. 335-338

Author(s):

Wilhelm Knoche ◽

Victoria R. Hanke ◽

Edward Dutkiewicz

Keyword(s):

Micellar Solutions ◽

Aliphatic Aldehydes

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Structure and Interactions in Perfluorooctanoate Micellar Solutions Revealed by Small-Angle Neutron Scattering and Molecular Dynamics Simulations Studies: Effect of Urea

Langmuir ◽

10.1021/acs.langmuir.1c00433 ◽

2021 ◽

Vol 37 (17) ◽

pp. 5339-5347

Author(s):

Samhitha Kancharla ◽

Dengpan Dong ◽

Dmitry Bedrov ◽

Marina Tsianou ◽

Paschalis Alexandridis

Keyword(s):

Molecular Dynamics ◽

Neutron Scattering ◽

Molecular Dynamics Simulations ◽

Small Angle ◽

Small Angle Neutron Scattering ◽

Micellar Solutions ◽

Dynamics Simulations

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Reference flow: reducing reference bias using multiple population genomes

Genome Biology ◽

10.1186/s13059-020-02229-3 ◽

2021 ◽

Vol 22 (1) ◽

Author(s):

Nae-Chyun Chen ◽

Brad Solomon ◽

Taher Mun ◽

Sheila Iyer ◽

Ben Langmead

Keyword(s):

Genetic Variation ◽

Reference Genome ◽

Alignment Method ◽

Sequencing Data ◽

Computational Overhead ◽

Reference Flow ◽

Multiple Population ◽

Reference Bias ◽

Flow Alignment ◽

Reference Genomes

AbstractMost sequencing data analyses start by aligning sequencing reads to a linear reference genome, but failure to account for genetic variation leads to reference bias and confounding of results downstream. Other approaches replace the linear reference with structures like graphs that can include genetic variation, incurring major computational overhead. We propose the reference flow alignment method that uses multiple population reference genomes to improve alignment accuracy and reduce reference bias. Compared to the graph aligner vg, reference flow achieves a similar level of accuracy and bias avoidance but with 14% of the memory footprint and 5.5 times the speed.

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