Water Quality and Microbiological Contamination across the Fish Marketing Chain: A Case Study in the Peruvian Amazon (Lagoon Yarinacocha)

Juan Rondón-Espinoza, Cesar M. Gavidia, Rosa González, Daphne Ramos

Research output: Contribution to journalArticlepeer-review

2 Scopus citations


The contamination of the surface water of lagoons is a common problem in developing countries, and can affect fishing activities. A case study was conducted on water quality and microbiological contamination of the fishing marketing chain in the Peruvian Amazon (Laguna de Yarinacocha). The microbiological, physical–chemical and parasitological parameters of the surface water were evaluated in three points of the lagoon near the landing stage; and microbiological parameters of facilities, handlers and three species of fish (Prochilodus nigricans, Mylossoma duriventre and Siluriforme spp.). In the water, there were coliform counts ≥ 23 (Most probable number—MPN)/100 mL, Escherichia coli ≥ 3.6 MPN/100 mL, and Pseudomona spp. up to 2.2 MPN/100 mL; high turbidity and variable amounts of parasites. In facilities and handlers, high levels of coliforms, mainly Escherichia coli, and Staphylococcus aureus and Escherichia coli, were found in M. duriventre meat. A poor quality of the surface water of the lagoon is concluded that compromises part of the fishing marketing chain, mainly facilities and manipulators. Furthermore, the levels of Staphylococcus aureus and Escherichia coli in fish meat show poor handling practices and possible risk of contamination by water sources.

Original languageEnglish
Article number1465
JournalWater (Switzerland)
Issue number9
StatePublished - 1 May 2022

Bibliographical note

Funding Information:
Funding: This research was funded by the Vice-Rector’s Office for Research and Graduate Studies of the Universidad Nacional Mayor de San Marcos, Grant number: 04274-R-17.

Publisher Copyright:
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.


  • Peruvian Amazon
  • disembarkation port
  • lagoon
  • marketing chain
  • microbial contamination
  • surface waters


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