We use cookies to understand how you use our site and to improve your experience. This includes personalizing content and advertising. To learn more, click here. By continuing to use our site, you accept our use of cookies. Cookie Policy.

LabMedica

Download Mobile App
Recent News Expo Clinical Chem. Molecular Diagnostics Hematology Immunology Microbiology Pathology Technology Industry Focus

Fast Antibacterial Susceptibility Testing by Measuring Electron Transfer Metabolism

By LabMedica International staff writers
Posted on 07 Dec 2020
Print article
Image: A recently developed device enables faster testing of antibiotic-resistant bacteria (Photo courtesy of Dr. Seokheun `Sean` Choi)
Image: A recently developed device enables faster testing of antibiotic-resistant bacteria (Photo courtesy of Dr. Seokheun `Sean` Choi)
A recently developed device facilitates bacterial antibiotics susceptibility testing by measuring the effect of these drugs on bacterial electron transfer metabolism.

Since some 2.8 million antibiotic-resistant infections occur annually in the United States with more than 35,000 fatalities, fast and simple antimicrobial susceptibility testing (AST) is urgently required to guide effective antibiotic usages and for monitoring of the antimicrobial resistance rate.

Towards this end, investigators at Binghamton University (NY, USA) established a rapid, quantitative, and high-throughput phenotypic AST by measuring electrons transferred from the interiors of microbial cells to external electrodes. Since the transferred electrons are based on microbial metabolic activities and are inversely proportional to the concentration of potential antibiotics, the changes in electrical outputs can be readily used as a signal to efficiently monitor bacterial growth and antibiotic susceptibility.

For this study, the investigators utilized the common Gram-negative pathogenic bacterium Pseudomonas aeruginosa together with the first-line antibiotic gentamicin. The novel detector had eight sensors printed on a paper surface. The minimum inhibitory concentration (MIC) values generated by the new technique were validated by the gold standard broth microdilution (BMD) method.

Results revealed that the new approach provided quantitative, actionable MIC results within just five hours, as it measured electricity produced by bacterial metabolism instead of the days needed for growth-observation methods.

"To effectively treat the infections, we need to select the right antibiotics with the exact dose for the appropriate duration," said senior author Dr. Seokheun Choi, associate professor of electrical and computer engineering at Binghamton University. "There is a need to develop an antibiotic-susceptibility testing method and offer effective guidelines to treat these infections."

"Although many bacteria are energy-producing, some pathogens do not perform extracellular electron transfer and may not be used directly in our platform. However, various chemical compounds can assist the electron transfer from non-electricity-producing bacteria," said Dr. Choi. "For instance, E. coli cannot transfer electrons from the inside of the cell to the outside, but with the addition of some chemical compounds, they can generate electricity. Now we are working on how to make this technique general to all bacteria cells. We leverage this biochemical event for a new technique to assess the antibiotic effectiveness against bacteria without monitoring the whole bacterial growth. As far as I know, we are the first to demonstrate this technique in a rapid and high-throughput manner by using paper as a substrate."

The new method for determining bacterial antibiotic resistance was published in the November 15, 2020 issue of the journal Biosensors and Bioelectronics.

Related Links:
Binghamton University

Gold Member
Fully Automated Cell Density/Viability Analyzer
BioProfile FAST CDV
Verification Panels for Assay Development & QC
Seroconversion Panels
New
Chagas Disease Test
LIAISON Chagas
New
PSA Test
Humasis PSA Card

Print article

Channels

Clinical Chemistry

view channel
Image: Professor Nicole Strittmatter (left) and first author Wei Chen stand in front of the mass spectrometer with a tissue sample (Photo courtesy of Robert Reich/TUM)

Mass Spectrometry Detects Bacteria Without Time-Consuming Isolation and Multiplication

Speed and accuracy are essential when diagnosing diseases. Traditionally, diagnosing bacterial infections involves the labor-intensive process of isolating pathogens and cultivating bacterial cultures,... Read more

Immunology

view channel
Image: The cancer stem cell test can accurately choose more effective treatments (Photo courtesy of University of Cincinnati)

Stem Cell Test Predicts Treatment Outcome for Patients with Platinum-Resistant Ovarian Cancer

Epithelial ovarian cancer frequently responds to chemotherapy initially, but eventually, the tumor develops resistance to the therapy, leading to regrowth. This resistance is partially due to the activation... Read more

Technology

view channel
Image: The new algorithms can help predict which patients have undiagnosed cancer (Photo courtesy of Adobe Stock)

Advanced Predictive Algorithms Identify Patients Having Undiagnosed Cancer

Two newly developed advanced predictive algorithms leverage a person’s health conditions and basic blood test results to accurately predict the likelihood of having an undiagnosed cancer, including ch... Read more

Industry

view channel
Image: The collaboration aims to leverage Oxford Nanopore\'s sequencing platform and Cepheid\'s GeneXpert system to advance the field of sequencing for infectious diseases (Photo courtesy of Cepheid)

Cepheid and Oxford Nanopore Technologies Partner on Advancing Automated Sequencing-Based Solutions

Cepheid (Sunnyvale, CA, USA), a leading molecular diagnostics company, and Oxford Nanopore Technologies (Oxford, UK), the company behind a new generation of sequencing-based molecular analysis technologies,... Read more