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Evaluation of precipitation polymerisation method for nonylphenol and its characterisation: A preliminary study

The widespread use of nonylphenol (NP) in various industries, in turn, give a negative impact on the environment and living organisms since it has had several harmful effects on the aquatic organism. Hence, its level of contamination should be regularly monitored. However, due to its low concentrati...

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Bibliographic Details
Published in:IOP conference series. Earth and environmental science 2022-04, Vol.1017 (1), p.012007
Main Authors: Rosmalina, Raden Tina, Sunaryani, Astrid, Ridwan, Yohanes Susanto, Wulan, Diana Rahayuning, Persulessy, Anna Edy, Jasalesmana, Taofik
Format: Article
Language:English
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Summary:The widespread use of nonylphenol (NP) in various industries, in turn, give a negative impact on the environment and living organisms since it has had several harmful effects on the aquatic organism. Hence, its level of contamination should be regularly monitored. However, due to its low concentration level, the determination of NP is challenging. Solid-phase extraction (SPE) could be utilised to detect a low NP dose in water. One of the most important factors for SPE extraction is selecting the proper adsorbent, and molecular-imprinted polymers (MIP) are considered the appropriate adsorbent in SPE extraction. This study aimed to synthesise and characterise the MIP for NP by precipitation polymerisation. Methacrylic acid (MAA), ethylene glycol dimethacrylate (EGDMA), benzoyl peroxide, acetonitrile, and NP were used as a functional monomer, a crosslinker, an initiator, a porogenic solvent, and a template molecule, respectively. The MIP was characterised using FTIR, SEM, and TGA. The results showed that the precipitation polymerisation method produced larger adsorbent particles and the polymerisation process was faster compared to bulk polymerisation. Based on the large particle size of the adsorbent and the fast polymerisation process, synthesis using the precipitation polymerisation method can be used for rapid routine analysis.
ISSN:1755-1307
1755-1315
DOI:10.1088/1755-1315/1017/1/012007