Identification of pathogenic bacteria in meats: A Literature review and bibliometric analysis.

Identificación de bacterias patógenas en carnes: Una Revisión de literatura y análisis bibliométrico

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Vol. 21 No. 42 (2024): Estructura cristalina del superconductor
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Identification of pathogenic bacteria in meats: A Literature review and bibliometric analysis. (2024). Revista EIA, 21(42), 4216 pp. 1-36. https://doi.org/10.24050/reia.v21i42.1730
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Roger Alberto Rabelo Florez
UNAD (National Open and Distance University)
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https://orcid.org/0000-0002-5247-8888
Gloria Isabel Gutiérrez de Piñerez-Ramírez
Universidad de Santander, Colombia
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https://orcid.org/0000-0001-6268-3933
Andrea Vasquez Garcia
Universidad Nacional Abierta y a Distancia - UNAD, Colombia
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https://orcid.org/0000-0002-6387-3269
Lisett Wilches López
Universidad de San Buenaventura, Colombia
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https://orcid.org/0000-0001-5121-8171
Jhanna Patrick Brieva Fuentes
Universidad Industrial de Santander, Colombia
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Introduction: Food poisoning caused by pathogenic bacteria present in meats is a growing public health problem. The main method for the identification of these pathogens is the polymerase chain reaction (PCR). Purpose: The purpose of this article is to review the bibliometrics of PCR as applied to the identification of pathogenic bacteria in meats. Methodology: Keywords are identified and search equation is structured in Scopus and WoS databases. Graph analysis was performed using the Bibliometrix, Sci2 Tool and Gephi tools, which are integrated in the R studio software, after which the tree of science metaphor was used.. Results: In the last 10 years, scientific production in areas focused on molecular biology has increased. The most outstanding topics are related to: contaminants and interferences in PCR, the importance of having internal amplification control sequences
in PCR, as well as advances in the standardization of real-time PCR protocols. Salmonella and Listeria monocytogenes stand out as the most investigated in meat matrices. The most used genes in the detection of Salmonella sp are staA, viaB and the sopE for species; for L. monocytogenes it is the hlyA gene. Conclusions: Some of the countries with the highest annual per capita meat consumption are the United States of America, Kuwait, Mexico, Argentina, Austria and Mongolia; however, only the United States of America ranks third in scientific productivity on the subject.

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