The occurrence of non-steroidal anti-inflammatory drugs (NSAIDs) in Malaysian urban domestic wastewater

Mohd Hanafiah Z 1 , Wan Mohtar WHM 2 , Abd Manan TSB 3 , Bachi' NA 1 , Abdullah NA 1 , Abd Hamid HH 4 Show all authors , Beddu S 5 , Mohd Kamal NL 5 , Ahmad A 6 , Wan Rasdi N 7

Affiliations 

  • 1 Civil Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor Darul Ehsan, 43600, Malaysia
  • 2 Civil Engineering, Faculty of Engineering and Built Environment, Universiti Kebangsaan Malaysia, Bangi, Selangor Darul Ehsan, 43600, Malaysia. Electronic address: hanna@ukm.edu.my
  • 3 Institute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu Darul Iman, 21030, Malaysia. Electronic address: tehsabariah@umt.edu.my
  • 4 Faculty of Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor Darul Ehsan, 43600, Malaysia
  • 5 Department of Civil Engineering, Universiti Tenaga Nasional, Jalan Ikram-Uniten, Kajang, Selangor Darul Ehsan, 43000, Malaysia
  • 6 Institute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu Darul Iman, 21030, Malaysia; Faculty of Science and Marine Environment, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu Darul Iman, 21030, Malaysia
  • 7 Institute of Tropical Biodiversity and Sustainable Development, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu Darul Iman, 21030, Malaysia; Faculty of Fisheries and Food Science, Universiti Malaysia Terengganu, Kuala Nerus, Terengganu Darul Iman, 21030, Malaysia
Chemosphere, 2022 Jan;287(Pt 2):132134.
PMID: 34517236 DOI: 10.1016/j.chemosphere.2021.132134

Abstract

The water stream has been reported to contain non-steroidal anti-inflammatory drugs (NSAIDs), released from households and premises through discharge from Sewage Treatment Plant (STP). This research identifies commonly consumed NSAIDs namely ibuprofen (IBU), diclofenac (DIC), ketoprofen (KET) and naproxen (NAP) in the influent wastewater from two urban catchments (i.e. 2 STPs). We expand our focus to assess the efficiency of monomer (C18) and dimer (HLB) types of sorbents in the solid phase extraction method followed by gas chromatography mass spectrometry (GCMS) analysis and optimize model prediction of NSAIDs in the influent wastewater using I-Optimal design. The ecological risk assessment of the NSAIDs was evaluated. The HLB produced reliable analysis for all NSAIDs under study (STP1: 6.7 × 10-3 mg L-1 to 2.21 × 10-1 mg L-1, STP2: 1.40 × 10-4 mg L-1 to 9.72 × 10-2 mg L-1). The C18 however, selective to NAP. Based on the Pearson proximity matrices, the DICHLB can be a good indicator for IBUHLB (0.565), NAPC18 (0.721), NAPHLB (0.566), and KETHLB (0.747). The optimized model prediction for KET and NAP based on DIC are successfully validated. The risk quotients (RQ) values of NSAIDs were classified as high (RQ > 1), medium (RQ, 0.1-1) and low (RQ, 0.01-0.1) risks. The optimized models are beneficial for major NSAIDs (KET and NAP) monitoring in the influent wastewater of urban domestic area. An upgrade on the existing wastewater treatment infrastructure is recommended to counteract current water security situation.

* Title and MeSH Headings from MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine.

MeSH terms
Similar publications