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  1. 1
    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval

    Improvement of Kernel Principal Component Analysis-Based Approach for Nonlinear Process Monitoring by Data Set Size Reduction Using Class Interval by Mohammed Tahar Habib Kaib (21633176)

    Published 2024
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  2. 2
    Potential Viable Products Identified from Characterisation of Agricultural Slaughterhouse Rendering Wastewater

    Potential Viable Products Identified from Characterisation of Agricultural Slaughterhouse Rendering Wastewater by Brian Brennan (12302813)

    Published 2021
    “…This work demonstrates a valuable assessment of a complex wastewater, while taking advantage of on-site access to samples and process data to inform the potential for wastewater reuse.…”
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  3. 3
    Rapid quantification of ruthenium(II) polypyridyl anti-cancer drugs using a selective ligand dissociation LC-MS/MS method

    Rapid quantification of ruthenium(II) polypyridyl anti-cancer drugs using a selective ligand dissociation LC-MS/MS method by Mehanna, Stephanie

    Published 2020
    “…Using USFDA guidelines, we report here the optimization and validation of a facile LC-MS/MS method for the detection and quantification of three Ru(II) polypyridyl complexes in cells, plasma, and urine matrices. Importantly, a fast (10 min), single-step procedure was efficient for both extraction and sample purification, and analytes were rapidly eluted over a 3 min simple isocratic run. …”
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