Dataset Information

A photometric high-throughput method for identification of electrochemically active bacteria using a WO3 nanocluster probe.

ABSTRACT: Electrochemically active bacteria (EAB) are ubiquitous in environment and have important application in the fields of biogeochemistry, environment, microbiology and bioenergy. However, rapid and sensitive methods for EAB identification and evaluation of their extracellular electron transfer ability are still lacking. Herein we report a novel photometric method for visual detection of EAB by using an electrochromic material, WO(3) nanoclusters, as the probe. This method allowed a rapid identification of EAB within 5?min and a quantitative evaluation of their extracellular electron transfer abilities. In addition, it was also successfully applied for isolation of EAB from environmental samples. Attributed to its rapidness, high reliability, easy operation and low cost, this method has high potential for practical implementation of EAB detection and investigations.

SUBMITTER: Yuan SJ

PROVIDER: S-EPMC3581827 | biostudies-other | 2013

REPOSITORIES: biostudies-other

ACCESS DATA

Publications

A photometric high-throughput method for identification of electrochemically active bacteria using a WO3 nanocluster probe.

Yuan Shi-Jie SJ Yuan Shi-Jie SJ He Hui H Sheng Guo-Ping GP Chen Jie-Jie JJ Tong Zhong-Hua ZH Cheng Yuan-Yuan YY Li Wen-Wei WW Lin Zhi-Qi ZQ Zhang Feng F Yu Han-Qing HQ

Scientific reports 20130101

Electrochemically active bacteria (EAB) are ubiquitous in environment and have important application in the fields of biogeochemistry, environment, microbiology and bioenergy. However, rapid and sensitive methods for EAB identification and evaluation of their extracellular electron transfer ability are still lacking. Herein we report a novel photometric method for visual detection of EAB by using an electrochromic material, WO(3) nanoclusters, as the probe. This method allowed a rapid identifica ...[more]

PMID: 23439110

Similar Datasets

Project description:Over the past 100 years, oil spills and long-term waste deposition from oil refineries have significantly polluted the environment. These contaminants have widespread negative effects on human health and ecosystem functioning. Natural attenuation of long chain and polyaromatic hydrocarbons is slow and often incomplete. Bioaugmentation of polluted soils with indigenous bacteria that naturally consume petroleum hydrocarbons could speed up this process. However, the characterization of bacterial crude oil degradation efficiency - which often relies upon expensive, highly specialized gas-chromatography mass spectrometry analyses - can present a substantial bottleneck in developing and implementing these bioremediation strategies. Here, we develop a low-cost, rapid, high-throughput fluorescence-based assay for identifying wild-type bacteria that degrade crude oil using the dye Nile Red. We show that Nile Red fluoresces when in contact with crude oil and developed a robust linear model to calculate crude oil content in liquid cell cultures based on fluorescence intensity (FI). To test whether this assay could identify bacteria with enhanced metabolic capacities to break down crude oil, we screened bacteria isolated from a former Shell Oil refinery in Bay Point, CA, and identified one strain (Cupriavidus sp. OPK) with superior crude oil depletion efficiencies (up to 83%) in only 3 days. We further illustrate that this assay can be combined with fluorescence microscopy to study how bacteria interact with crude oil and the strategies they use to degrade this complex substance. We show for the first time that bacteria use three key strategies for degrading crude oil: biofilm formation, direct adherence to oil droplets, and vesicle encapsulation of oil. We propose that the quantitative and qualitative data from this assay can be used to develop new bioremediation strategies based on bioaugmentation and/or biomimetic materials that imitate the natural ability of bacteria to degrade crude oil.

Dataset Information

A photometric high-throughput method for identification of electrochemically active bacteria using a WO3 nanocluster probe.

Publications

A photometric high-throughput method for identification of electrochemically active bacteria using a WO3 nanocluster probe.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets