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Related Experiment Video

Updated: May 10, 2026

Applications for Open Source Microplate-Compatible Illumination Panels

Applications for Open Source Microplate-Compatible Illumination Panels

Published on: October 3, 2019

GreenLight Model 960.

Richard Fernandes¹, Conn Carey, James Hynes

¹Luxcel Biosciences Ltd, Suite 3.32, Bio Transfer Unit, UCC, Cork, Ireland.

Journal of AOAC International

|June 18, 2013

Summary

This summary is machine-generated.

A new method rapidly assesses aerobic bacterial load in food, providing results in 1-12 hours. This high-throughput technique measures microbial oxygen consumption, offering a faster alternative to traditional total viable count (TVC) methods.

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Area of Science:

Food microbiology
Analytical chemistry
Biotechnology

Background:

Food safety demands rapid, high-throughput methods for total viable count (TVC).
Current industry standard (ISO 4833:2003) is slow (72h), labor-intensive, and materials-intensive.
Need for faster, more efficient bacterial assessment in food products.

Purpose of the Study:

To introduce and evaluate the GreenLight Model 960 for rapid aerobic bacterial load assessment.
To demonstrate the assay's ability to provide high-throughput analysis of microbial contamination.
To offer a faster alternative to conventional TVC methods in food safety.

Main Methods:

Utilizes the GreenLight Model 960, a microtiter plate-based assay.
Measures microbial oxygen consumption through a GreenLight probe signal.
Correlates oxygen depletion rate to bacterial load (CFU/g) via predetermined calibration.

Main Results:

Generates results for aerobic bacterial load in 1-12 hours, depending on microbial concentration.
Detects bacterial growth and respiration by monitoring oxygen depletion.
Provides a sensitive and simple method for assessing microbial contamination levels in food.

Conclusions:

The GreenLight Model 960 offers a rapid, high-throughput solution for food safety analysis.
The assay provides a significant time reduction compared to traditional TVC methods.
This method enables efficient and sensitive assessment of microbial contamination in food samples.