High-Throughput Detection of Multiple Contaminants Based on Portable Photoelectrochromic Sensor Chip

2021 ◽  
Author(s):  
Nan Hao ◽  
Yanli Zuo ◽  
Zhen Dai ◽  
Meng Xiong ◽  
Jie Wei ◽  
...  
Keyword(s):  
High Throughput ◽  
Sensor Chip ◽  
High Throughput Detection ◽  
Multiple Contaminants

High-throughput Detection of Protein Kinase Activities in Cell Lysate Based on the Aggregation of Gold Nanoparticles with Peptides

2009 ◽  
Author(s):  
Yoshiki Katayama ◽  
Hirotaro Kitazaki ◽  
Jeong-Hun Kang ◽  
Xiaoming Han ◽  
Takeshi Mori ◽  
...  
Keyword(s):  
Gold Nanoparticles ◽  
Protein Kinase ◽  
High Throughput ◽  
Cell Lysate ◽  
High Throughput Detection

High-Throughput Detection of an Alkaloidal Plant Metabolome in Plant Extracts Using LC-ESI-QTOF-MS

2021 ◽  
Author(s):  
Bibi Zareena ◽  
Adeeba Khadim ◽  
Syed Usama Y. Jeelani ◽  
Saddam Hussain ◽  
Arslan Ali ◽  
...  
Keyword(s):  
High Throughput ◽  
Plant Extracts ◽  
High Throughput Detection

Continuous detection of trace level concentration of oil droplets in water using microfluidic AC electroosmosis (ACEO)

RSC Advances ◽  
2015 ◽  
Vol 5 (86) ◽  
pp. 70197-70203 ◽  
Author(s):  
D. Das ◽  
Z. Yan ◽  
N. V. Menon ◽  
Y. Kang ◽  
V. Chan ◽  
...  
Keyword(s):  
Oil Spill ◽  
High Throughput ◽  
Ac Electroosmosis ◽  
Oil Droplets ◽  
Trace Level ◽  
High Throughput Detection ◽  
Novel Design

A novel design for high throughput detection of oil micro-droplets in water which is important to environmental oil spill monitoring agencies.

scholarly journals Novel High-Throughput Detection Method To Assess Bacterial Surfactant Production

2010 ◽  
Vol 76 (16) ◽  
pp. 5363-5372 ◽  
Author(s):  
Adrien Y. Burch ◽  
Briana K. Shimada ◽  
Patrick J. Browne ◽  
Steven E. Lindow
Keyword(s):  
Pseudomonas Syringae ◽  
High Throughput ◽  
Water Drop ◽  
Bacterial Strains ◽  
Swarming Motility ◽  
Detection Assay ◽  
Wide Range ◽  
Surfactant Production ◽  
Transposon Mutants ◽  
High Throughput Detection

ABSTRACT A novel biosurfactant detection assay was developed for the observation of surfactants on agar plates. By using an airbrush to apply a fine mist of oil droplets, surfactants can be observed instantaneously as halos around biosurfactant-producing colonies. This atomized oil assay can detect a wide range of different synthetic and bacterially produced surfactants. This method could detect much lower concentrations of many surfactants than a commonly used water drop collapse method. It is semiquantitative and therefore has broad applicability for uses such as high-throughput mutagenesis screens of biosurfactant-producing bacterial strains. The atomized oil assay was used to screen for mutants of the plant pathogen Pseudomonas syringae pv. syringae B728a that were altered in the production of biosurfactants. Transposon mutants displaying significantly altered surfactant halos were identified and further analyzed. All mutants identified displayed altered swarming motility, as would be expected of surfactant mutants. Additionally, measurements of the transcription of the syringafactin biosynthetic cluster in the mutants, the principal biosurfactant known to be produced by B728a, revealed novel regulators of this pathway.

scholarly journals SSFinder: High Throughput CRISPR-Cas Target Sites Prediction Tool

2014 ◽  
Vol 2014 ◽  
pp. 1-4 ◽  
Author(s):  
Santosh Kumar Upadhyay ◽  
Shailesh Sharma
Keyword(s):  
Operating Systems ◽  
High Throughput ◽  
Genomic Data ◽  
Prediction Tool ◽  
High Demand ◽  
Specific Target ◽  
Target Sites ◽  
High Throughput Detection ◽  
User Friendly

Clustered regularly interspaced short palindromic repeats (CRISPR) and CRISPR-associated protein (Cas) system facilitates targeted genome editing in organisms. Despite high demand of this system, finding a reliable tool for the determination of specific target sites in large genomic data remained challenging. Here, we report SSFinder, a python script to perform high throughput detection of specific target sites in large nucleotide datasets. The SSFinder is a user-friendly tool, compatible with Windows, Mac OS, and Linux operating systems, and freely available online.

scholarly journals High-throughput detection of RNA processing in bacteria

BMC Genomics ◽  
2018 ◽  
Vol 19 (1) ◽  
Author(s):  
Erin E. Gill ◽  
Luisa S. Chan ◽  
Geoffrey L. Winsor ◽  
Neil Dobson ◽  
Raymond Lo ◽  
...  
Keyword(s):  
High Throughput ◽  
Rna Processing ◽  
High Throughput Detection
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