Molecular Based Foodborne Pathogen Detection Techniques; A Bibliometric Computational Analysis

Recent advances in molecular-based food pathogen detection technology and the increased complexity of the food supply chain make it critical to comprehend current trends and possibilities. This bibliometric study examined molecular-based detection approaches for foodborne pathogens during the past 15 years, including nation contribution, keyword trends, relevant journals, citations, and cutting-edge technology. Scopus returned 2114 documents. Vosviewer and R-Biblioshiny visualized the research. The annual number of publications fluctuated upward. The International Journal of Food Microbiology published the most, but the Journal of Biosensors and Bioelectronics had the most significant impact. The most cited articles described high-sensitivity foodborne pathogen detection methods such as PCR, multiplex PCR, real-time PCR, NASBA, LAMP, and FRET biosensors. China and the USA led the research publications, citations, and collaborations. The co-occurrence analysis of keywords indicates that “Real-time PCR,” Isolation and Purification, “Genetics,” “Biosensing Techniques,” “RNA extraction,” “Nucleic Acid Amplification,” and “Rapid detection” were the main research priorities regarding the topic of food-pathogen detection. Meanwhile, “CRISPR/Cas12”, “CRISPR-Associated Proteins,” “LAMP assay,” and Biosensing Techniques have trended in the past five years. These technologies and their integration imply prospective food safety innovation for researchers and the food sector.

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Publication Details

Journal
Indonesian Journal of Computer Science
Published
2024-08-29
DOI
https://doi.org/10.33022/ijcs.v13i4.4355
Primary Topic
Identification and Quantification in Food
Type
article
Field-Weighted Citation Impact
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article

Molecular Based Foodborne Pathogen Detection Techniques; A Bibliometric Computational Analysis

Riski Gusri Utami, Rahmi Holinesti, Sari Mustika, Ahadul Putra et al.
Indonesian Journal of Computer Science
Identification and Quantification in Food
article

Molecular Based Foodborne Pathogen Detection Techniques; A Bibliometric Computational Analysis

Riski Gusri Utami, Rahmi Holinesti, Sari Mustika, Ahadul Putra, Anni Faridah, Vici Syahril Chairani, Fitri Yasih
article en

Abstract

Recent advances in molecular-based food pathogen detection technology and the increased complexity of the food supply chain make it critical to comprehend current trends and possibilities. This bibliometric study examined molecular-based detection approaches for foodborne pathogens during the past 15 years, including nation contribution, keyword trends, relevant journals, citations, and cutting-edge technology. Scopus returned 2114 documents. Vosviewer and R-Biblioshiny visualized the research. The annual number of publications fluctuated upward. The International Journal of Food Microbiology published the most, but the Journal of Biosensors and Bioelectronics had the most significant impact. The most cited articles described high-sensitivity foodborne pathogen detection methods such as PCR, multiplex PCR, real-time PCR, NASBA, LAMP, and FRET biosensors. China and the USA led the research publications, citations, and collaborations. The co-occurrence analysis of keywords indicates that “Real-time PCR,” Isolation and Purification, “Genetics,” “Biosensing Techniques,” “RNA extraction,” “Nucleic Acid Amplification,” and “Rapid detection” were the main research priorities regarding the topic of food-pathogen detection. Meanwhile, “CRISPR/Cas12”, “CRISPR-Associated Proteins,” “LAMP assay,” and Biosensing Techniques have trended in the past five years. These technologies and their integration imply prospective food safety innovation for researchers and the food sector.

Indonesian Journal of Computer ScienceVol. 13(4)
State University of Padang (ID)
Openalex Percentile: Top 83%
Identification and Quantification in Food
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Molecular Based Foodborne Pathogen Detection Techniques; A Bibliometric Computational Analysis — Riski Gusri Utami, Rahmi Holinesti, et al. · Indonesian Journal of Computer Science (2024) | TGRS Research Map | TGRS