Research Article | | Peer-Reviewed

Foodborne Bacterial Pathogens and Contamination Level in Retail Meat Samples from Kathmandu, Nepal

Received: 13 December 2025     Accepted: 23 December 2025     Published: 19 January 2026
Views:       Downloads:
Abstract

Foodborne pathogens contaminating meat products represent a significant public health concern, particularly in regions with suboptimal hygiene standards. Multidrug-resistant (MDR) bacteria further complicate treatment options and increase morbidity and mortality. Therefore, the aim of this study was to determine the distribution of foodborne bacterial pathogens, their antibiotic susceptibility patterns, and contamination levels in retail meat samples from Kathmandu, Nepal. A laboratory-based cross-sectional study was conducted over six months (October 2023–March 2024) at the Department of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences. A total of 80 raw meat samples (40 chicken and 40 buffalo) were collected from retail shops in Kathmandu. Bacterial isolation and identification were performed using standard microbiological techniques. Antibiotic susceptibility testing was conducted using the Kirby-Bauer disc diffusion method according to CLSI guidelines. Phenotypic detection of β-lactamase (ESBL, MBL, AmpC) and MRSA was performed. Total viable count (TVC) was determined using the pour plate method. Out of 204 bacterial isolates, Escherichia coli (59, 28.92%) was the predominant isolate, followed by Klebsiella spp. (28, 13.74%), Proteus spp. (26, 12.75%), Citrobacter spp. (19, 9.31%), and Salmonella spp. (16, 7.84%). Among gram-positive bacteria, Staphylococcus aureus was found in 16 (7.84%) isolates and coagulase-negative staphylococci in 7 (3.43%) isolates. The distribution of MDR isolates was 136 (66.7%). Among gram-negative bacteria (n=181), ESBL producers comprised 5 (2.76%), MBL producers 47 (25.96%), and AmpC producers 36 (19.88%) of isolates. Methicillin-resistant Staphylococcus aureus (MRSA) was detected in 10 (62.5%) of the 16 S. aureus isolates. Mean total viable count was higher in chicken (5.66 log₁₀ CFU/g) compared to buffalo meat (5.64 log₁₀ CFU/g). This study demonstrates a high prevalence of MDR, MBL, and AmpC β-lactamase-producing bacteria in retail meat samples, though ESBL producers were relatively uncommon. These findings underscore the urgent need for stringent hygiene standards and sanitation practices in meat handling and retail environments to ensure consumer safety.

Published in American Journal of Laboratory Medicine (Volume 11, Issue 1)
DOI 10.11648/j.ajlm.20261101.13
Page(s) 16-23
Creative Commons

This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited.

Copyright

Copyright © The Author(s), 2026. Published by Science Publishing Group

Keywords

Antibiotic Resistance, Foodborne Pathogens, Escherichia coli, Meat Contamination, Multidrug-Resistant Bacteria, Retail Meat, Salmonella

References
[1] Centers for Disease Control and Prevention (CDC). Estimates of foodborne illness in the United States. Atlanta: CDC; 2024. Report No.: 2024-001.
[2] World Health Organization Regional Office for South-East Asia. The burden of foodborne diseases in the South-East Asia Region. New Delhi: WHO-SEARO; 2023.
[3] Adams C, Baker E. Microbial ecology of meat products: factors contributing to pathogen proliferation. J Food Prot. 2022; 85(4): 550-60.
[4] Food and Agriculture Organization of the United Nations (FAO). Guidelines for slaughtering, meat cutting and further processing. Rome: FAO; 2011.
[5] Ministry of Agriculture and Development, Nepal. Meat production and marketing standards in Nepal. Kathmandu: Ministry of Agriculture and Development, Nepal; 2022.
[6] Eisel WG, Linton RH, Muriana PM. A survey of microbial levels for incoming raw beef, environmental sources, and ground beef in a red meat processing plant. Food Microbiol. 1997; 14: 273-82.
[7] Bhattarai J, Badhu A, Shah T, Niraula S. Meat hygiene practices among meat sellers in Dharan Municipality of Eastern Nepal. Birat J Heal Sci. 2017; 2: 184-90.
[8] Mahato S. Relationship of sanitation parameters with microbial diversity and load in raw meat from the outlets of the Metropolitan City Biratnagar, Nepal. Int J Microbiol. 2019; 2019: 9682573.
[9] Bhandari N, Nepali D, Paudyal S. Assessment of bacterial load in broiler chicken meat from the retail meat shops in Chitwan, Nepal. Int J Infect Microbiol. 2013; 2: 99-104.
[10] Miller G, Chen H, Davies P. Method validation for total viable count determination in fresh meat using buffered peptone water. J Appl Microbiol. 2023; 135(2): 180-92.
[11] Alves R, Santos L. Comparison of selective media for the isolation of meat-borne bacteria. Food Sci Nutr. 2022; 10(11): 3801-15.
[12] Patel S, Kim T. Performance of conventional biochemical tests for the identification of common food spoilage organisms. Eur J Clin Microbiol Infect Dis. 2021; 40(6): 1255-68.
[13] Clinical and Laboratory Standards Institute (CLSI). Performance standards for antimicrobial susceptibility testing. 33rd ed. Wayne, PA: CLSI; 2023.
[14] Magiorakos AP, Srinivasan A, Carey RB, Carmeli Y, Falagas ME, Giske CG, et al. Multidrug-resistant, extensively drug-resistant and pandrug-resistant bacteria: an international expert proposal for interim standard definitions and terms. Clin Microbiol Infect. 2012; 18(3): 268-81.
[15] Clinical and Laboratory Standards Institute (CLSI). Performance standards for antimicrobial disk diffusion tests. 13th ed. CLSI document M02. Wayne (PA): CLSI; 2018.
[16] Yong D, Lee K, Yum JH, Shin HB, Rossolini GM, Chung YS. Imipenem-EDTA disk method for differentiation of metallo-β-lactamase-producing clinical isolates of Pseudomonas spp. and Acinetobacter spp. J Clin Microbiol. 2002; 40(10): 3798-3801.
[17] Yagi T, Kurokawa H, Ishiguro T, Ohsugi H, Doi M, Tanimoto K, et al. Phenotypic detection of AmpC β-lactamase producers in Escherichia coli and Klebsiella pneumoniae by use of phenylboronic acid and a cefoxitin disk. J Clin Microbiol. 2007; 45(12): 4067-4073.
[18] Clinical and Laboratory Standards Institute (CLSI). Performance standards for antimicrobial susceptibility testing. 34th ed. CLSI document M100. Wayne (PA): CLSI; 2024.
[19] Saud B, Paudel G, Khichaju S, Bajracharya D. Multidrug-resistant bacteria from raw meat of buffalo and chicken, Nepal. Veterinary Medicine International. 2019 Apr 1; 2019: 7960268.
[20] Pandey A, Paudel S, Bhandari L, Dhungana R, Dhungana P. Food-borne bacterial pathogens in marketed raw meat of Dharan, eastern Nepal. BMC Res Notes. 2018 Aug 29; 11(1): 625.
[21] Shrestha S, Bhandari D, Shrestha K, Acharya P. Bacteriological assessment of buffalo meat in Kathmandu valley. Nepal J Sci Technol. 2022 Jan 10; 21(1): 21-7.
[22] Baral SK, Dhakal A, Timilsina RP, Manandhar KD, Poudel P. Phenotypic insights into beta-lactamase-mediated multidrug resistance in Escherichia coli clinical isolates. J Manmohan Mem Inst Health Sci. 2024; 10(1): 51–54.
[23] Muller A, et al. Extended-spectrum beta-lactamase-producing enterobacteriaceae in the community: a systematic review. Clin Infect Dis. 2017; 65(1): 165–71.
[24] Ejikeugwu C, et al. Metallo-beta-lactamase and AmpC genes in Escherichia coli, Klebsiella pneumoniae, and Pseudomonas aeruginosa isolates from abattoir and poultry origin in Nigeria. BMC Microbiol. 2021; 21(1): 124.
[25] De Boer E, Zwartkruis-Nahuis JTM, Wit B, Huijsdens XW, de Neeling AJ, Bosch T, et al. Prevalence of methicillin-resistant Staphylococcus aureus in meat. Int J Food Microbiol. 2009; 134(1–2): 52–56.
[26] Kluytmans JAJW. Methicillin-resistant Staphylococcus aureus in food products: cause for concern or case for complacency? Clin Microbiol Infect. 2010; 16(1): 11–15.
[27] Feingold BJ, Silbergeld EK, Curriero FC, van Cleef BA, Heck ME, Kluytmans JA. Livestock density as risk factor for livestock-associated methicillin-resistant Staphylococcus aureus, the Netherlands. Emerg Infect Dis. 2012; 18(11): 1841–1849.
Cite This Article
  • APA Style

    Baral, S. K., Shrestha, K., Parajuli, I. (2026). Foodborne Bacterial Pathogens and Contamination Level in Retail Meat Samples from Kathmandu, Nepal. American Journal of Laboratory Medicine, 11(1), 16-23. https://doi.org/10.11648/j.ajlm.20261101.13

    Copy | Download

    ACS Style

    Baral, S. K.; Shrestha, K.; Parajuli, I. Foodborne Bacterial Pathogens and Contamination Level in Retail Meat Samples from Kathmandu, Nepal. Am. J. Lab. Med. 2026, 11(1), 16-23. doi: 10.11648/j.ajlm.20261101.13

    Copy | Download

    AMA Style

    Baral SK, Shrestha K, Parajuli I. Foodborne Bacterial Pathogens and Contamination Level in Retail Meat Samples from Kathmandu, Nepal. Am J Lab Med. 2026;11(1):16-23. doi: 10.11648/j.ajlm.20261101.13

    Copy | Download

  • @article{10.11648/j.ajlm.20261101.13,
      author = {Soma Kanta Baral and Krija Shrestha and Indira Parajuli},
      title = {Foodborne Bacterial Pathogens and Contamination Level in Retail Meat Samples from Kathmandu, Nepal},
      journal = {American Journal of Laboratory Medicine},
      volume = {11},
      number = {1},
      pages = {16-23},
      doi = {10.11648/j.ajlm.20261101.13},
      url = {https://doi.org/10.11648/j.ajlm.20261101.13},
      eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.ajlm.20261101.13},
      abstract = {Foodborne pathogens contaminating meat products represent a significant public health concern, particularly in regions with suboptimal hygiene standards. Multidrug-resistant (MDR) bacteria further complicate treatment options and increase morbidity and mortality. Therefore, the aim of this study was to determine the distribution of foodborne bacterial pathogens, their antibiotic susceptibility patterns, and contamination levels in retail meat samples from Kathmandu, Nepal. A laboratory-based cross-sectional study was conducted over six months (October 2023–March 2024) at the Department of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences. A total of 80 raw meat samples (40 chicken and 40 buffalo) were collected from retail shops in Kathmandu. Bacterial isolation and identification were performed using standard microbiological techniques. Antibiotic susceptibility testing was conducted using the Kirby-Bauer disc diffusion method according to CLSI guidelines. Phenotypic detection of β-lactamase (ESBL, MBL, AmpC) and MRSA was performed. Total viable count (TVC) was determined using the pour plate method. Out of 204 bacterial isolates, Escherichia coli (59, 28.92%) was the predominant isolate, followed by Klebsiella spp. (28, 13.74%), Proteus spp. (26, 12.75%), Citrobacter spp. (19, 9.31%), and Salmonella spp. (16, 7.84%). Among gram-positive bacteria, Staphylococcus aureus was found in 16 (7.84%) isolates and coagulase-negative staphylococci in 7 (3.43%) isolates. The distribution of MDR isolates was 136 (66.7%). Among gram-negative bacteria (n=181), ESBL producers comprised 5 (2.76%), MBL producers 47 (25.96%), and AmpC producers 36 (19.88%) of isolates. Methicillin-resistant Staphylococcus aureus (MRSA) was detected in 10 (62.5%) of the 16 S. aureus isolates. Mean total viable count was higher in chicken (5.66 log₁₀ CFU/g) compared to buffalo meat (5.64 log₁₀ CFU/g). This study demonstrates a high prevalence of MDR, MBL, and AmpC β-lactamase-producing bacteria in retail meat samples, though ESBL producers were relatively uncommon. These findings underscore the urgent need for stringent hygiene standards and sanitation practices in meat handling and retail environments to ensure consumer safety.},
     year = {2026}
    }
    

    Copy | Download

  • TY  - JOUR
    T1  - Foodborne Bacterial Pathogens and Contamination Level in Retail Meat Samples from Kathmandu, Nepal
    AU  - Soma Kanta Baral
    AU  - Krija Shrestha
    AU  - Indira Parajuli
    Y1  - 2026/01/19
    PY  - 2026
    N1  - https://doi.org/10.11648/j.ajlm.20261101.13
    DO  - 10.11648/j.ajlm.20261101.13
    T2  - American Journal of Laboratory Medicine
    JF  - American Journal of Laboratory Medicine
    JO  - American Journal of Laboratory Medicine
    SP  - 16
    EP  - 23
    PB  - Science Publishing Group
    SN  - 2575-386X
    UR  - https://doi.org/10.11648/j.ajlm.20261101.13
    AB  - Foodborne pathogens contaminating meat products represent a significant public health concern, particularly in regions with suboptimal hygiene standards. Multidrug-resistant (MDR) bacteria further complicate treatment options and increase morbidity and mortality. Therefore, the aim of this study was to determine the distribution of foodborne bacterial pathogens, their antibiotic susceptibility patterns, and contamination levels in retail meat samples from Kathmandu, Nepal. A laboratory-based cross-sectional study was conducted over six months (October 2023–March 2024) at the Department of Laboratory Medicine, Manmohan Memorial Institute of Health Sciences. A total of 80 raw meat samples (40 chicken and 40 buffalo) were collected from retail shops in Kathmandu. Bacterial isolation and identification were performed using standard microbiological techniques. Antibiotic susceptibility testing was conducted using the Kirby-Bauer disc diffusion method according to CLSI guidelines. Phenotypic detection of β-lactamase (ESBL, MBL, AmpC) and MRSA was performed. Total viable count (TVC) was determined using the pour plate method. Out of 204 bacterial isolates, Escherichia coli (59, 28.92%) was the predominant isolate, followed by Klebsiella spp. (28, 13.74%), Proteus spp. (26, 12.75%), Citrobacter spp. (19, 9.31%), and Salmonella spp. (16, 7.84%). Among gram-positive bacteria, Staphylococcus aureus was found in 16 (7.84%) isolates and coagulase-negative staphylococci in 7 (3.43%) isolates. The distribution of MDR isolates was 136 (66.7%). Among gram-negative bacteria (n=181), ESBL producers comprised 5 (2.76%), MBL producers 47 (25.96%), and AmpC producers 36 (19.88%) of isolates. Methicillin-resistant Staphylococcus aureus (MRSA) was detected in 10 (62.5%) of the 16 S. aureus isolates. Mean total viable count was higher in chicken (5.66 log₁₀ CFU/g) compared to buffalo meat (5.64 log₁₀ CFU/g). This study demonstrates a high prevalence of MDR, MBL, and AmpC β-lactamase-producing bacteria in retail meat samples, though ESBL producers were relatively uncommon. These findings underscore the urgent need for stringent hygiene standards and sanitation practices in meat handling and retail environments to ensure consumer safety.
    VL  - 11
    IS  - 1
    ER  - 

    Copy | Download

Author Information
  • Sections