Dataset on null LC–MS/MS findings for 17 pharmaceuticals in Brazilian seafood with in-silico PBT/PMT indicators for monitoring design

Null results are rarely reported yet are essential to establish realistic baselines for marine-seafood contamination. This dataset documents the first attempt to detect 17 widely used pharmaceuticals in edible tissues (muscle and liver) of commercially important Brazilian coastal fish (<i>Centropomus parallelus, Cynoscion virescens, Nebris microps</i>) and shrimp (<i>Litopenaeus schmitti, Xiphopenaeus kroyeri</i>) collected near Perequê Island (Guarujá, São Paulo, Brazil). All analytes were below method detection limits (<LOD) by Liquid Chromatography coupled with Tandem Mass Spectrometry (LC-MS/MS), yielding a regionally relevant null-finding baseline for these targets at the time and place of sampling. To add interpretative value and support reuse, we provide a complementary in-silico screening for Persistence (P), Bioaccumulation (B), Toxicity (T), and Mobility (M) properties (PBT/PMT framework). The Excel workbook assembles identifiers; fate properties (organic carbon-water partition coefficient: logKoc/Koc, bioconcentration factor: BCF/logBCF, environmental half-life, ready biodegradability); aquatic toxicity (acute median effective/lethal concentrations: EC50/LC50; chronic value: ChV across algae, crustaceans, and fish); and Sewage Treatment Plant (STP) removal (total, sludge adsorption, biodegradation), together with traffic-light flags and priority scores/ranks. Predictions were generated using fixed-version tools, namely OPEn structure-activity Relationship App (OPERA v2.8), Estimation Programs Interface Suite (EPI Suite v4.11; including KOCWIN v2.00, BCFBAF v3.01, BIOWIN v4.10, and wastewater treatment plant outputs), Ecological Structure-Activity Relationships (ECOSAR v2.0), and SimpleTreat 4.0, all of which are traceable via evidence fields and conditional formatting. The dataset enables (i) transparent publication of non-detects, (ii) prioritization of substances that may still warrant focused monitoring due to PBT/PMT attributes despite current non-detection, and (iii) benchmarking against future measurements or higher-tier assessments in urban-coastal waters.

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Publication Details

Journal
Data in Brief
Published
2025-11-14
DOI
https://doi.org/10.1016/j.dib.2025.112264
Primary Topic
Pharmaceutical and Antibiotic Environmental Impacts
Type
article
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article

Dataset on null LC–MS/MS findings for 17 pharmaceuticals in Brazilian seafood with in-silico PBT/PMT indicators for monitoring design

Simone Caivano, Luciana Lopes Guimarães, Alberto Teodorico Correia, Walber Toma et al.
Data in Brief
Pharmaceutical and Antibiotic Environmental Impacts
article

Dataset on null LC–MS/MS findings for 17 pharmaceuticals in Brazilian seafood with in-silico PBT/PMT indicators for monitoring design

Simone Caivano, Luciana Lopes Guimarães, Alberto Teodorico Correia, Walber Toma, Vinicius Roveri, Ursulla Pereira Souza, João Henrique Alliprandini da Costa, J. L. Brito dos Santos
article en

Abstract

Null results are rarely reported yet are essential to establish realistic baselines for marine-seafood contamination. This dataset documents the first attempt to detect 17 widely used pharmaceuticals in edible tissues (muscle and liver) of commercially important Brazilian coastal fish (<i>Centropomus parallelus, Cynoscion virescens, Nebris microps</i>) and shrimp (<i>Litopenaeus schmitti, Xiphopenaeus kroyeri</i>) collected near Perequê Island (Guarujá, São Paulo, Brazil). All analytes were below method detection limits (<LOD) by Liquid Chromatography coupled with Tandem Mass Spectrometry (LC-MS/MS), yielding a regionally relevant null-finding baseline for these targets at the time and place of sampling. To add interpretative value and support reuse, we provide a complementary in-silico screening for Persistence (P), Bioaccumulation (B), Toxicity (T), and Mobility (M) properties (PBT/PMT framework). The Excel workbook assembles identifiers; fate properties (organic carbon-water partition coefficient: logKoc/Koc, bioconcentration factor: BCF/logBCF, environmental half-life, ready biodegradability); aquatic toxicity (acute median effective/lethal concentrations: EC50/LC50; chronic value: ChV across algae, crustaceans, and fish); and Sewage Treatment Plant (STP) removal (total, sludge adsorption, biodegradation), together with traffic-light flags and priority scores/ranks. Predictions were generated using fixed-version tools, namely OPEn structure-activity Relationship App (OPERA v2.8), Estimation Programs Interface Suite (EPI Suite v4.11; including KOCWIN v2.00, BCFBAF v3.01, BIOWIN v4.10, and wastewater treatment plant outputs), Ecological Structure-Activity Relationships (ECOSAR v2.0), and SimpleTreat 4.0, all of which are traceable via evidence fields and conditional formatting. The dataset enables (i) transparent publication of non-detects, (ii) prioritization of substances that may still warrant focused monitoring due to PBT/PMT attributes despite current non-detection, and (iii) benchmarking against future measurements or higher-tier assessments in urban-coastal waters.

Data in BriefVol. 63
Universidade do Porto (PT), Hospital Israelita Albert Einstein (BR), Universidade Paulista (BR), Universidade Santa Cecília (BR), Universidade Metropolitana de Santos (BR), Centro Interdisciplinar de Investigação Marinha e Ambiental, Universidade Estadual Paulista (Unesp) (BR), Universidade Federal de São Paulo (BR)
Openalex Percentile: Top 73%
Pharmaceutical and Antibiotic Environmental Impacts
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