Evidence map›Paper›PMID 36378329›Full record

ArticleArchives of microbiology2022

Investigating the effects of variability of operational parameters on MATH test for bacterial hydrophobicity measurement.

Gaurav Saini, Brian D Wood

Abstract read
PubMed Publisher
In one paragraph

Article in Archives of microbiology, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

2 authors.

Gaurav SainiDepartment of Civil Engineering, Netaji Subhas University of Technology, West Campus, Delhi, India. gauravsaini@gmail.com.
Brian D WoodSchool of Chemical, Biological and Environmental Engineering, Oregon State University, Corvallis, OR, USA.

Funding

National Science Foundation 0449452-BES
6 · The paper itself

Abstract

Microbial adhesion and transport are significantly influenced by their hydrophobicity. Various domains, such as biofouling, bioremediation, wastewater treatment, oil recovery, pathogenesis, implant infections, and several other microbial disciplines, make use of hydrophobicity assessment. One easy assay for assessing the microbial surface hydrophobicity is the microbial adhesion to hydrocarbons (MATH) test which works on the differential partitioning of microbes at a hydrocarbon-aqueous interface. Unfortunately, a standard protocol for this test is still unavailable, even though it has been widely studied and it is known that the results are sensitive to the operating parameters used. This study has been envisaged to investigate the effects of variations in the MATH test parameters on the hydrophobicity results. For this purpose, six different test parameters (vortex duration, phase separation period, hydrocarbon-aqueous phase volume ratio, hydrocarbon selection, absorbance wavelength, and suspension medium) were varied. Four different Gram-negative bacteria were used for experimentation. It was observed that except for phase separation period, all other test parameters significantly influenced the hydrophobicity results. Furthermore, the hydrocarbon saturation of the suspension medium was a critical factor for growth medium suspensions. This study is expected to guide researchers in selecting the appropriate values of test parameters for MATH tests and enhance our understanding of this technique and pave the way for developing a standardized protocol.

Indexed as

Bacterial AdhesionHydrocarbonsBacteriaBiodegradation, EnvironmentalHydrophobic and Hydrophilic InteractionsWaterHydrocarbonsWaterBiofoulingCell surface hydrophobicity (CSH)Phase separationStandard protocolSuspension mediumVortex duration

Identifiers

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.