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Species Determination and Quantitation in Mixtures Using MRM Mass Spectrometry of Peptides Applied to Meat Authentication
Published on: September 20, 2016
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A multiplex DNA probe-based method for simultaneous identification of adulteration in meat samples.
Smriti Singh Yadav1,2, Ramsha Tariq1, Prabeen Kumar Padhy1
1Systems Toxicology Group, CSIR - Indian Institute of Toxicology Research, Vishvigyan Bhawan, 31, Mahatma Gandhi Marg, Lucknow 226001, Uttar Pradesh, India.
Food Chemistry. Molecular Sciences
|March 25, 2024
Summary
This study introduces a new multiplex real-time PCR method for accurately detecting chicken, pork, sheep, and goat DNA in meat. This advancement enhances food safety and consumer trust by combating meat adulteration.
Area of Science:
- Food Science
- Molecular Biology
- Genetics
Background:
- Meat adulteration is a widespread issue in raw and processed products, leading to consumer distrust and potential health risks.
- Current authentication methods often lack the specificity to differentiate closely related species, necessitating improved detection techniques.
Purpose of the Study:
- To develop a novel multiplex detection method for identifying four common meat species simultaneously.
- To enhance the accuracy and efficiency of meat authentication processes.
Main Methods:
- Development of species-specific primers and probes targeting mitochondrial DNA (mtDNA) regions.
- Utilized TaqMan multiplex probe-based RT-qPCR assay for simultaneous detection.
- Validated the assay for raw and processed meat products.
Main Results:
- Achieved a detection limit of 0.1 pg/μL DNA in singleplex reactions.
- Successfully identified chicken, pork, sheep, and goat DNA in a single reaction.
- Demonstrated high specificity and sensitivity in distinguishing closely related species like sheep and goat.
Conclusions:
- The developed multiplex RT-qPCR assay is a sensitive and specific tool for meat authentication.
- This method effectively addresses meat adulteration, ensuring meat product quality and consumer protection.
- Offers a robust solution for simultaneous identification of multiple meat species in various product types.
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