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Related Concept Videos

Microbial Biosensors01:17

Microbial Biosensors

Microbial biosensors are analytical devices that utilize living microbes to detect specific substances through measurable signals. These devices consist of two main components: biosensing organisms and signal-transducing elements. Biosensing organisms, such as Escherichia coli or Saccharomyces cerevisiae, are typically housed in multiwell plates connected to transducers, enabling rapid, real-time detection of target analytes.Signal Generation MechanismWhen a target analyte—such as...
Methods to Assess Microbial Populations01:30

Methods to Assess Microbial Populations

Assessing microbial populations is crucial for understanding microbial roles in health, ecology, and industry. Various complementary techniques—both culture-based and molecular—enable detailed analysis of microbial abundance, diversity, and function.Viable Plate CountThe viable plate count is a traditional culture-based method used to estimate the number of living microbes in a sample. After serial dilution, the sample is spread onto nutrient agar plates. Each viable cell forms a visible...
Automated Microbial Diagnostics01:24

Automated Microbial Diagnostics

Automated diagnostic analyzers have transformed clinical microbiology by providing rapid and reliable methods for pathogen identification and antibiotic susceptibility testing. Among these systems, the Vitek 2 is widely used because it automates the traditionally labor-intensive processes of microbial identification (ID) and antibiotic susceptibility testing (AST), delivering standardized and timely results that are essential for effective patient care.Microbial Identification with ID CardsThe...
Microbial Growth Measurement: Indirect Methods01:27

Microbial Growth Measurement: Indirect Methods

Estimating microbial growth is essential for understanding population dynamics and environmental adaptations. Indirect methods provide valuable insights by measuring parameters such as turbidity, metabolic activity, and biomass, enabling efficient and reproducible assessments.During exponential growth, microbial cells scatter light proportionally to their biomass, a principle used in turbidity measurements. About one million cells per milliliter produce detectable scattering, which a...
Microbial Growth Measurement: Direct Methods01:23

Microbial Growth Measurement: Direct Methods

Direct methods for measuring microbial populations in a culture are essential tools in microbiology, providing quantitative data for various applications. Among these, microscopic counts, plate counts, and serial dilution are widely used techniques, each with unique principles and applications.Microscopic CountsMicroscopic counting involves the use of a Petroff-Hausser chamber, a specialized microscope slide with a grid and defined depth. By observing a liquid culture under a microscope,...
Methods to Assess Microbial Communities01:19

Methods to Assess Microbial Communities

Microbial communities, comprising bacteria, archaea, and eukaryotic microorganisms, inhabit diverse ecosystems and play crucial roles in environmental and biological processes. Their diversity is defined by three main parameters: species richness (the number of distinct species), species abundance (the relative quantity of each species), and species evenness (how uniformly individual species are distributed in various locations). These factors together shape the structure and ecological balance...

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Related Experiment Video

Updated: Jun 16, 2026

Preparation of Multifunctional Silk-Based Microcapsules Loaded with DNA Plasmids Encoding RNA Aptamers and Riboswitches
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Preparation of Multifunctional Silk-Based Microcapsules Loaded with DNA Plasmids Encoding RNA Aptamers and Riboswitches

Published on: October 8, 2021

Applications of microbial cell sensors.

Mifumi Shimomura-Shimizu1, Isao Karube

  • 1School of Bioscience and Biotechnology, Tokyo University of Technology, Hachioji, Tokyo 1920982, Japan.

Advances in Biochemical Engineering/Biotechnology
|January 21, 2010
PubMed
Summary

Microbial cell sensors use microbes as sensing elements, offering advantages like durability and cost-effectiveness. This review summarizes their diverse applications in analytical chemistry.

Area of Science:

  • Biotechnology
  • Biosensors
  • Analytical Chemistry

Background:

  • Microbial cell sensors, first studied in 1977, have evolved as analytical tools.
  • They utilize microbes as both the sensing element and transducer.
  • Unlike highly specific enzyme or immunosensors, their specificity can be enhanced via genetic modification.

Purpose of the Study:

  • To review and summarize the various applications of microbial cell sensors.
  • To highlight the characteristics, advantages, and disadvantages of these biosensors.

Main Methods:

  • Review of existing literature on microbial cell sensor development and applications.
  • Analysis of sensor characteristics including specificity, tolerance, lifetime, cost, and response time.

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Microfluidic Tools for Probing Fungal-Microbial Interactions at the Cellular Level
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Microfluidic Tools for Probing Fungal-Microbial Interactions at the Cellular Level

Published on: June 23, 2022

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Last Updated: Jun 16, 2026

Preparation of Multifunctional Silk-Based Microcapsules Loaded with DNA Plasmids Encoding RNA Aptamers and Riboswitches
10:07

Preparation of Multifunctional Silk-Based Microcapsules Loaded with DNA Plasmids Encoding RNA Aptamers and Riboswitches

Published on: October 8, 2021

Microfluidic Tools for Probing Fungal-Microbial Interactions at the Cellular Level
08:19

Microfluidic Tools for Probing Fungal-Microbial Interactions at the Cellular Level

Published on: June 23, 2022

Main Results:

  • Microbial cell sensors offer advantages such as tolerance to diverse measuring conditions, extended operational lifetime, and cost-effectiveness.
  • A key disadvantage is their relatively long response time.
  • Genetic modification has improved the specificity of microbial cell sensors.

Conclusions:

  • Microbial cell sensors are versatile analytical tools with a range of applications.
  • Their unique characteristics make them suitable for specific analytical challenges despite limitations like response time.