Occurrence of the Main Metabolites of the Most Recurrent Pharmaceuticals and Personal Care Products in Mediterranean Soils
Journal of Environmental Management(2020)SCI 2区
Abstract
The use of sewage sludge and wastewater in agricultural lands provide contaminants to soils. As a result, a large number of contaminants can be present in soils. Among others, pharmaceuticals and personal care products (PPCPs) are two of the most studied families of emerging contaminants in wastewater. However, there is scarce information about their behaviour in soils. Occurrence, fate and behaviour in soils of metabolites are even less known. In this work, the degradation of most recurrent PPCPs in the environment and their main metabolites has been evaluated using batch experiments in three typical Mediterranean soils. Batch experiments were carried out in a climatic chamber using spiked soils under Mediterranean climatic conditions. The studied compounds were five pharmaceutically active compounds (carbamazepine, ibuprofen, caffeine, sulfamethoxazole and diclofenac), two parabens (methylparaben and propylparaben) and twelve of their main metabolites. Studied PPCPs and metabolites showed different adsorption capacity onto the studied soils. As results, despite of the compounds were spiked at the same concentrations, different contents were measured at the beginning of the batch experiments. The soil 3 showed the lowest degradation rate for all studied compounds what could be related with the higher adsorption capacity of this soil. A decrease of the measured contents was observed for all studied compounds, except in the case of CBZ and EP-CBZ. No transformations of parent compounds into their metabolites or vice versa were observed, except in the case of Ibuprofen and its metabolites. Although the results showed overall short degradation times for the most of the compounds studied, the evaluation of the environmental risks of the PPCPs and their metabolites should not be underestimated.
MoreTranslated text
Key words
PPCP,Metabolites,Soil,Sludge,Distribution,Occurrence
PDF
View via Publisher
AI Read Science
AI Summary
AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.
Example
Background
Key content
Introduction
Methods
Results
Related work
Fund
Key content
- Pretraining has recently greatly promoted the development of natural language processing (NLP)
- We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
- We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
- The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
- Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance
Try using models to generate summary,it takes about 60s
Must-Reading Tree
Example

Generate MRT to find the research sequence of this paper
Related Papers
1988
被引用71 | 浏览
2019
被引用27 | 浏览
2020
被引用25 | 浏览
Data Disclaimer
The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn
Chat Paper
去 AI 文献库 对话