Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

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...
Bioreactor Controls-I01:28

Bioreactor Controls-I

Maintaining optimal conditions within fermenters is essential for maximizing microbial productivity and ensuring process efficiency. This lesson focuses on key parameters—temperature, foam, pH, carbon dioxide, oxygen, and pressure—and their precise measurement and control strategies in fermentation systems.Temperature ControlTemperature regulation is critical due to the exothermic nature of many fermentation processes. In small laboratory fermenters, temperature is commonly monitored using...
Environmental Applications of Microorganisms01:30

Environmental Applications of Microorganisms

Microorganisms play a pivotal role in maintaining ecosystem balance by recycling essential elements such as carbon, nitrogen, and phosphorus, as well as supporting processes like bioremediation, wastewater treatment, and biofuel production.Microbes in Elemental CyclesIn the carbon cycle, microorganisms decompose organic matter, releasing carbon dioxide via aerobic respiration. This carbon dioxide is subsequently used by photosynthetic organisms to synthesize organic compounds, closing the...
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...

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Rinsing Aircraft Hangar Fire Suppression System Components Contaminated With PFAS: Analysis of Rinse Waters and Pipe Surfaces.

Water environment research : a research publication of the Water Environment Federation·2026
Same author

Lactylation-mediated remodelling of the breast cancer microenvironment: single-cell multidimensional analysis and prognostic model construction.

Frontiers in immunology·2026
Same author

A study for potential rapid discrimination of smokeless powders by near-infrared spectroscopy and chemometric modeling methods for forensic application.

Scientific reports·2026
Same author

Computational Analysis of Salicylic Acid Oxidation: Byproducts and Reaction Pathways.

Water environment research : a research publication of the Water Environment Federation·2026
Same author

UV-Activated Advanced Oxidation of MTBE and TBA: A Comparison of Sulfate and Hydroxyl-Radical Treatment Processes.

Water environment research : a research publication of the Water Environment Federation·2025
Same author

Establishment of a new method for detection of TROP2-positive circulating tumor cells in breast cancer.

BMC cancer·2025

Related Experiment Video

Updated: May 14, 2026

Waste Water Derived Electroactive Microbial Biofilms: Growth, Maintenance, and Basic Characterization
11:58

Waste Water Derived Electroactive Microbial Biofilms: Growth, Maintenance, and Basic Characterization

Published on: December 29, 2013

Using microbial fuel cell output metrics and nonlinear modeling techniques for smart biosensing.

Yinghua Feng1, Olubanke Kayode, Willie F Harper

  • 1Department of Civil and Environmental Engineering, University of Pittsburgh, Swanson School of Engineering, 3700 O'Hara St., Pittsburgh, PA 15261, USA.

The Science of the Total Environment
|February 23, 2013
PubMed
Summary

Microbial fuel cells (MFCs) show potential for water quality monitoring. Integrating artificial neural networks (ANN) and time series analysis (TSA) improved data processing and accurately predicted chemical oxygen demand (COD).

More Related Videos

Translating Extracellular Electron Transfer Activities with Organic Electrochemical Transistors
10:44

Translating Extracellular Electron Transfer Activities with Organic Electrochemical Transistors

Published on: January 31, 2025

In Vitro Multiparametric Cellular Analysis by Micro Organic Charge-modulated Field-effect Transistor Arrays
10:05

In Vitro Multiparametric Cellular Analysis by Micro Organic Charge-modulated Field-effect Transistor Arrays

Published on: September 20, 2021

Related Experiment Videos

Last Updated: May 14, 2026

Waste Water Derived Electroactive Microbial Biofilms: Growth, Maintenance, and Basic Characterization
11:58

Waste Water Derived Electroactive Microbial Biofilms: Growth, Maintenance, and Basic Characterization

Published on: December 29, 2013

Translating Extracellular Electron Transfer Activities with Organic Electrochemical Transistors
10:44

Translating Extracellular Electron Transfer Activities with Organic Electrochemical Transistors

Published on: January 31, 2025

In Vitro Multiparametric Cellular Analysis by Micro Organic Charge-modulated Field-effect Transistor Arrays
10:05

In Vitro Multiparametric Cellular Analysis by Micro Organic Charge-modulated Field-effect Transistor Arrays

Published on: September 20, 2021

Area of Science:

  • Environmental Science
  • Biotechnology
  • Analytical Chemistry

Background:

  • Microbial fuel cells (MFCs) offer a promising approach for real-time water quality monitoring.
  • Characterization of MFC response peaks and enhancement of data processing methods are crucial for reliable biosensing.
  • Current methods lack the sophistication to fully interpret complex MFC signals.

Purpose of the Study:

  • To integrate artificial neural networks (ANN) and time series analysis (TSA) with MFC-based biosensing for improved water quality monitoring.
  • To characterize MFC response peak profiles under varying chemical oxygen demand (COD) concentrations.
  • To develop advanced data processing techniques for accurate COD prediction and MFC performance assessment.

Main Methods:

  • Laboratory and field testing of MFCs with varying influent COD concentrations.
  • Application of artificial neural networks (ANN) for COD concentration prediction.
  • Utilization of time series analysis (TSA) for analyzing temporal trends and device performance.

Main Results:

  • MFCs generated normally-distributed peaks at COD ≤ 150 mg/L and multi-peak signals at COD = 200 mg/L.
  • A strong correlation was observed between the area under the response peak and influent COD concentration.
  • The ANN model achieved error-free COD prediction with a single hidden layer; TSA effectively predicted temporal trends in MFCs, including failing devices.

Conclusions:

  • The integration of ANN and TSA with MFC biosensing represents a novel advancement in water quality monitoring.
  • The developed methods enable accurate prediction of COD concentrations and assessment of MFC operational status.
  • This approach enhances the reliability and applicability of MFCs for environmental monitoring applications.