Loss of micropollutants on syringe filters during sample filtration: Machine learning approach for selecting appropriate filters-Reference-Cited by-同舟云学术

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Loss of micropollutants on syringe filters during sample filtration: Machine learning approach for selecting appropriate filters

Published:2024-07 Issue: Volume:359 Page:142327
ISSN:0045-6535
Container-title:Chemosphere
language:en
Short-container-title:Chemosphere

Author:

Ejerssa Wondesen Workneh,Seid Mingizem Gashaw^ORCID,Lim Seung Ji^ORCID,Han Jiyun,Chae Sung Ho^ORCID,Son Aseom^ORCID,Hong Seok Won

Funder

KIST

Ministry of Environment

KEITI

Publisher

Elsevier BV

Reference41 articles.

1. New trends in the analytical determination of emerging contaminants and their transformation products in environmental waters;Aguera;Environ. Sci. Pollut. Res. Int.,2013

2. Syringe filtration as a source of error in pesticide residue analysis in environmental samples;Ahmad;Bull. Environ. Contam. Toxicol.,2001

3. Adsorption of esters of p-hydroxybenzoic acid by filter membranes: mechanism and effect of formulation and processing parameters;Bin;Pharmaceut. Dev. Technol.,2000

4. Random Forests;Breiman;Mach. Learn.,2001

5. Analyte loss due to membrane filter adsorption as determined by high-performance liquid chromatography;Carlson;J. Chromatogr. Sci.,2000

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1. Prediction and analysis of dominant factors influencing moisture content during vacuum screening based on machine learning;Scientific Reports;2024-08-06

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