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Relationship between microplastics and heavy metals in Tam Giang-Cau Hai lagoon sediments

Marine Pollution Bulletin 2025 Score: 38 ? 0–100 AI score estimating relevance to the microplastics field. Papers below 30 are filtered from public browse.
Lim Thi Duong, Lim Thi Duong, Lim Thi Duong, Lim Thi Duong, Hương Thị Lan Nguyễn, Hue Thi Nguyen, Quang Bac Nguyen Thuy Thi Huong Nguyen, Thuy Thi Huong Nguyen, Đào Ngọc Nhiệm, Hue Thi Nguyen, Quan T. Dang, Quan T. Dang, Đào Ngọc Nhiệm, Đào Ngọc Nhiệm, Đào Ngọc Nhiệm, Quan T. Dang, Quan T. Dang, Kien Trung Nguyen, Đào Ngọc Nhiệm, Quang Bac Nguyen Dien Cong Duong, Dien Cong Duong, Quang Bac Nguyen Ngoc Thi Hong Tran, Dien Cong Duong, Dien Cong Duong, Quang Bac Nguyen Quang Bac Nguyen Quang Bac Nguyen

Summary

Researchers investigated the distribution and interactions of microplastics and ten heavy metals in sediments of the Tam Giang-Cau Hai Lagoon in Vietnam, finding moderate microplastic contamination and using Spearman correlation and PCA to assess relationships between sediment properties, metal concentrations, and plastic abundance. The study provides baseline data for understanding co-pollution dynamics in this coastal lagoon ecosystem.

Study Type Environmental

This study investigates microplastic (MP) and heavy metal distribution and interactions in Tam Giang - Cau Hai Lagoon sediments. We assessed sediment properties (pH, TOC, TN, grain size), concentrations of ten metals (including Cr, Mn, Fe, Ni, Cu, Zn, As, Cd, Pb, Hg), and MP abundance in sediment (MP/s) and water (MP/w) using Spearman correlation and PCA. Sediments were predominantly sandy (mean 86.7 %), acidic (mean pH 6.43), with moderate TOC (mean 0.61 %). The lagoon is moderately contaminated with MPs (MP/s mean 345.7 ± 135.8 items.kg; MP/w mean 150.6 ± 98.2 items.m). Metal concentrations were generally low (Zn, Pb, Cd below ERLs), though Arsenic (max 13.46 mg.kg) exceeded the ERL at localized hotspots. Correlation and PCA revealed a clear partitioning of contaminants. MP/s showed no association with MP/w, indicating sediments are a long-term sink decoupled from transient water concentrations. Furthermore, MP/s lacked correlation with TOC, TN, or grain size but showed a negative correlation with heavy metals. Conversely, metals were strongly and positively correlated with TOC (e.g., Mn vs. TOC, r = 0.71) and TN (Fe vs. TN, r = 0.87). PC1 (53.48 % variance) confirmed this, linking metals directly to TOC, TN, and silt, independent of MP distribution. Findings suggest a competitive sorption dynamic: abundant natural organic matter (TOC) outcompetes MP surfaces for metal binding, possibly enhanced by acidic conditions. This study concludes that water column data is an invalid proxy for benthic risk and that metal monitoring strategies (based on TOC) are ineffective for predicting MP accumulation, necessitating compartment-specific management.

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