Related Experiment Video
Updated: Feb 3, 2026

07:24
A Hybrid DNA Extraction Method for the Qualitative and Quantitative Assessment of Bacterial Communities from Poultry Production Samples
Published on: December 10, 2014
15.0K
A Rapid LAMP-Based Method for Screening Poultry Samples for Campylobacter Without Enrichment.
M Rosario Romero1, Nigel Cook1
1Fera Science, Ltd., York, United Kingdom.
Frontiers in Microbiology
|October 31, 2018
Summary
A new rapid method for detecting Campylobacter bacteria in poultry products has been developed. This loop-mediated isothermal DNA amplification (LAMP) test provides accurate results in one hour, aiding food safety.
Area of Science:
- Food Microbiology
- Molecular Diagnostics
- Food Safety Science
Background:
- Campylobacter is a leading cause of foodborne illness, primarily linked to chicken consumption.
- Current detection methods are time-consuming, posing challenges for the rapid food supply chain.
- There is a critical need for swift and reliable Campylobacter detection in poultry.
Purpose of the Study:
- To develop and validate a rapid, culture-independent method for direct Campylobacter detection in poultry.
- To evaluate the performance of a loop-mediated isothermal DNA amplification (LAMP) assay for Campylobacter.
- To establish a robust screening tool for Campylobacter contamination in poultry products.
Main Methods:
- Development of a direct detection method using loop-mediated isothermal DNA amplification (LAMP).
- Analysis of 171 poultry carcass swabs from slaughterhouses using LAMP and conventional culture methods.
- Inclusion of an internal amplification control to mitigate false negatives from inhibitors.
Main Results:
- The LAMP assay accurately detected Campylobacter in 100% of samples with high bacterial counts (≥800 cfu/swab).
- 98.6% of samples with low counts (≤10 cfu/swab) were correctly identified as negative by LAMP.
- The method demonstrated suitability for analyzing boot swabs, indicating broad applicability.
Conclusions:
- The developed LAMP method offers a rapid, easy-to-perform, and robust solution for Campylobacter detection in poultry.
- This assay can be implemented at various points in the food supply chain for effective contamination control.
- The internal control ensures reliable results, enhancing its utility as a screening tool.
More Related Videos
Related Concept Videos
Sampling Methods: Sample Types
3.3K
Sampling materials are classified into three main types: solid, liquid, and gas.
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
Solid samples include a variety of substances, such as sediments from water bodies, soil, metals, and biological tissues. Two standard methods for extracting sediments from water bodies are grab sampling and piston coring. Grab sampling involves using a device to collect a discrete sediment sample from the bottom of a water body with minimal disturbance. Grab samples do not always represent the entire area due to...
3.3K
Convenience Sampling Method
11.6K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population.
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
Convenience sampling is a non-random method of sample selection; this method selects individuals that are easily accessible and may result in biased data. For example, a marketing...
11.6K
Sampling Methods: Overview
3.4K
A sample refers to a smaller subset representative of a larger population. In analytical chemistry, studying or analyzing an entire population is often impractical or impossible. Therefore, samples are used to draw inferences and generalize the whole population. The sampling method selects individuals or items from a population to create a sample. Standard sampling methods include random, judgemental, systematic, stratified, and cluster sampling.
In analytical chemistry, the choice of...
In analytical chemistry, the choice of...
3.4K
Systematic Sampling Method
13.3K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. Data are the result of sampling from a population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
Systematic sampling is one of the simplest methods...
Systematic sampling is one of the simplest methods...
13.3K
Stratified Sampling Method
15.4K
Sampling is a technique to select a portion (or subset) of the larger population and study that portion (the sample) to gain information about the population. The sampling method ensures that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a stratified sample, divide the population into groups called strata and then take a...
To choose a stratified sample, divide the population into groups called strata and then take a...
15.4K
Cluster Sampling Method
14.7K
Appropriate sampling methods ensure that samples are drawn without bias and accurately represent the population. Because measuring the entire population in a study is not practical, researchers use samples to represent the population of interest.
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
To choose a cluster sample, divide the population into clusters (groups) and then randomly select some of the clusters. All the members from these clusters are in the cluster sample. For example, if you randomly sample four departments from your...
14.7K

