Microbiological Quality and Analysis of Escherichia coli Resistance to Antibiotics in Beaches: Evaluating Anthropic Influence in Surface Waters in Brazil

ABSTRACT Antimicrobial resistance is a problem for public health. We sought to assess the multiple antibiotic resistance analyses by searching for resistant microorganisms in five Brazilian beaches. The analyses showed pH (5.2–8.5), temperature (21.2°C–27.5°C), and dissolved oxygen (DO) (4.0–8.5 mg L −1 ). Bacterial indicators peaked during the high season, notably at Beach 5 (4.60 × 10 2 ± 1.71 × 10 2 MPN.100 mL −1 ), although Beaches 1 ( p 0.056) and 2 ( p 0.097) showed significant seasonal coliform variation ( p < 0.10). Overall, 83.3% of isolated Escherichia coli strains were resistant to at least one antibiotic, mainly strains resistant to imipenem (45.0%) and cefazolin (35.0%). Multivariate analysis explained 86.70% of the variance, which resulted in high antibiotic resistance index‐IRAp (e.g., IRAp Beach5 0.818, IRAp Beach1 0.273) and multiple antibiotic resistance (MAR Beach2 = 0.60). Significant anthropogenic pressure‐driven by untreated wastewater, proximity to the continent, ports, industrial complexes, and overpopulation contributed to the proliferation of resistant microorganisms, whereas rainfall leakage contributed to resilience in the area.

Authors

Institutions

Publication Details

Journal
Water Environment Research
Published
2026-10-29
DOI
https://doi.org/10.1002/wer.70645
Primary Topic
Pharmaceutical and Antibiotic Environmental Impacts
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Microbiological Quality and Analysis of Escherichia coli Resistance to Antibiotics in Beaches: Evaluating Anthropic Influence in Surface Waters in Brazil

Maurício Dziedzic, Philipe Ribeiro Gomes, Mônica Maciel Elias, Layanne Andrade Mendonça et al.
Water Environment Research
Pharmaceutical and Antibiotic Environmental Impacts
article

Microbiological Quality and Analysis of Escherichia coli Resistance to Antibiotics in Beaches: Evaluating Anthropic Influence in Surface Waters in Brazil

Maurício Dziedzic, Philipe Ribeiro Gomes, Mônica Maciel Elias, Layanne Andrade Mendonça, Cíntia Mara Ribas de Oliveira, Roberta Ribeiro Rangel, Eliane Carvalho de Vasconcelos, Francini dos R. Henrique, Daniele G. dos Santos
article en

Abstract

ABSTRACT Antimicrobial resistance is a problem for public health. We sought to assess the multiple antibiotic resistance analyses by searching for resistant microorganisms in five Brazilian beaches. The analyses showed pH (5.2–8.5), temperature (21.2°C–27.5°C), and dissolved oxygen (DO) (4.0–8.5 mg L −1 ). Bacterial indicators peaked during the high season, notably at Beach 5 (4.60 × 10 2 ± 1.71 × 10 2 MPN.100 mL −1 ), although Beaches 1 ( p 0.056) and 2 ( p 0.097) showed significant seasonal coliform variation ( p < 0.10). Overall, 83.3% of isolated Escherichia coli strains were resistant to at least one antibiotic, mainly strains resistant to imipenem (45.0%) and cefazolin (35.0%). Multivariate analysis explained 86.70% of the variance, which resulted in high antibiotic resistance index‐IRAp (e.g., IRAp Beach5 0.818, IRAp Beach1 0.273) and multiple antibiotic resistance (MAR Beach2 = 0.60). Significant anthropogenic pressure‐driven by untreated wastewater, proximity to the continent, ports, industrial complexes, and overpopulation contributed to the proliferation of resistant microorganisms, whereas rainfall leakage contributed to resilience in the area.

Water Environment ResearchVol. 98(11)
University of Northern British Columbia (CA), Instituto Federal Fluminense (BR), State University of Norte Fluminense (BR), Universidade Positivo (BR)
Openalex Percentile: Top 25%
Pharmaceutical and Antibiotic Environmental Impacts
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Laika access coming soon