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Mohd Marsin Sanagi

Researcher at Universiti Teknologi Malaysia

Publications -  201
Citations -  4568

Mohd Marsin Sanagi is an academic researcher from Universiti Teknologi Malaysia. The author has contributed to research in topics: Extraction (chemistry) & Solid phase extraction. The author has an hindex of 33, co-authored 198 publications receiving 3801 citations. Previous affiliations of Mohd Marsin Sanagi include Loughborough University.

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Green Synthesis of Iron Nano-Impregnated Adsorbent for Fast Removal of Fluoride from Water

TL;DR: In this paper, an iron nano-impregnated adsorbent was synthesized, characterized and applied for fluoride removal from the water, which obeyed Langmuir, Freundlich and Temkin models.
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Development of magnetic graphene oxide adsorbent for the removal and preconcentration of As(III) and As(V) species from environmental water samples

TL;DR: The new-generation adsorbent can be used for the removal and simultaneous preconcentration of As(III) and As (V) from water samples successfully and is better than As(V).
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Heterocyclic scaffolds: centrality in anticancer drug development

TL;DR: The importance of heterocyclic nuclei in the development of anticancer drugs is described and the suggestions for syntheses of effective, selective, fast and human friendly anticancer agents are discussed into the different sections.
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Molecularly imprinted polymer solid-phase extraction for the analysis of organophosphorus pesticides in fruit samples

TL;DR: In this paper, a new selective material based on molecularly imprinted polymers (MIPs) was prepared and used as solid-phase extraction (SPE) sorbent for sample enrichment of organophosphorus pesticides (OPP) residues prior to high performance liquid chromatography (HPLC).
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Comparison of signal-to-noise, blank determination, and linear regression methods for the estimation of detection and quantification limits for volatile organic compounds by gas chromatography.

TL;DR: This work compares three methods based on the International Conference on Harmonization and EURACHEM guidelines, namely, signal-to-noise, blank determination, and linear regression, to estimate the LOD and LOQ for volatile organic compounds (VOCs) by experimental methodology using GC.