Academic Journal
The q-RASPR approach for predicting the property and fate of persistent organic pollutants
| Title: | The q-RASPR approach for predicting the property and fate of persistent organic pollutants |
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| Authors: | Chia Ming Chang, Arkaprava Banerjee, Vinay Kumar, Kunal Roy, Emilio Benfenati |
| Source: | Scientific Reports, Vol 15, Iss 1, Pp 1-16 (2025) |
| Publisher Information: | Nature Portfolio, 2025. |
| Publication Year: | 2025 |
| Collection: | LCC:Medicine LCC:Science |
| Subject Terms: | Quantitative structure-property relationship (QSPR), Read-across (RA), Quantitative Read-Across structure-property relationship (q-RASPR), Persistent Organic pollutants (POPs), Polychlorinated Biphenyls (PCBs), Polybrominated Diphenyl Ethers (PBDEs), Medicine, Science |
| More Details: | Abstract This study presents a quantitative read-across structure-property relationship (q-RASPR) approach that integrates the chemical similarity information used in read-across with traditional quantitative structure-property relationship (QSPR) models. This novel framework is applied to predict the physicochemical properties and environmental behaviors of persistent organic pollutants, specifically polychlorinated biphenyls (PCBs) and polybrominated diphenyl ethers (PBDEs). By utilizing a curated dataset and incorporating similarity-based descriptors, the q-RASPR approach improves the accuracy of predictions, particularly for compounds with limited experimental data. The models’ performances were assessed using internal cross-validation and external testing, demonstrating significant enhancements in predictive reliability compared to conventional QSPR models. The findings highlight the potential of q-RASPR for use in regulatory risk assessments and optimizing remediation strategies by providing more precise insights into the environmental fate of these contaminants. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 2045-2322 |
| Relation: | https://doaj.org/toc/2045-2322 |
| DOI: | 10.1038/s41598-024-84778-2 |
| Access URL: | https://doaj.org/article/3cfe5223e9784045be27eea5fa9f842a |
| Accession Number: | edsdoj.3cfe5223e9784045be27eea5fa9f842a |
| Database: | Directory of Open Access Journals |
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| ISSN: | 20452322 |
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| DOI: | 10.1038/s41598-024-84778-2 |
| Published in: | Scientific Reports |
| Language: | English |