Abdulhussein, Ahmed Qasim and Abu Bakar, Nor Kartini and Kafeenah, Husam I. S. and Mohd Jamil, Arniza Khairani (2023) Highly selective magnetic dual-template molecularly imprinted polymer for simultaneous removal and clean-up of nitenpyram and imidacloprid from light and dark honey. International Journal of Environmental Analytical Chemistry, 103 (18). pp. 7116-7134. ISSN 0306-7319, DOI https://doi.org/10.1080/03067319.2021.1966698.
Full text not available from this repository.Abstract
This study presents a newly developed selective and sensitive dual-template molecularly imprinted polymer nanoparticles (MIPs) for simultaneous removal and clean up of nitenpyram (NIT) and imidacloprid (IMI) pesticide residues from light and dark honey samples. Determination and quantification of both pesticides were performed using ultra-high-performance liquid chromatography-tandem mass spectrometry, UHPLC-MS/MS. The sorbent MIPs best recoveries were obtained with 60 mg of sorbent MIPs, adsorption time of 20 min, and sample pH of 7. Low method limit of detection (LOD) and limit of quantification (LOQ) were achieved, ranging from 0.03 to 0.09 mu g L-1 and 0.06 to 0.12 mu g L-1, respectively. Intra-day precision and inter-day precision (RSD) varied between 0.6% and 2.0% and 5.0% to 13.0%, respectively. The developed method was successfully applied to honey samples with obtained mean recoveries in the range of 95.2% to 108% and 94.3% to 105% for NIT and IMI.
| Item Type: | Article |
|---|---|
| Funders: | Universiti Malaya [Grant No: BK061-2017 ; IIRG002A-19SAH ; RP018B-14AFR] |
| Uncontrolled Keywords: | Nitenpyram; Imidacloprid; Molecularly imprinted polymer nanoparticles (MIPs); Ultra high-performance liquid chromatography-mass spectrometry (UHPLC-MS; MS); Honey |
| Subjects: | G Geography. Anthropology. Recreation > GE Environmental Sciences Q Science > QD Chemistry |
| Divisions: | Faculty of Science > Department of Chemistry |
| Depositing User: | Ms. Juhaida Abd Rahim |
| Date Deposited: | 10 Nov 2025 06:28 |
| Last Modified: | 10 Nov 2025 06:28 |
| URI: | http://eprints.um.edu.my/id/eprint/49563 |
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