Development of novel molecularly imprinting chemosensors for the detection of chemical hazards in foods
department or school: Land and Food Systems, Faculty of
data provider: DSpace
degree campus: UBCV
creator: Feng, Shaolong
issued: 2021-09-15T22:31:54Z
issued: 2021
related degree: Doctor of Philosophy - PhD
degree grantor: University of British Columbia
description: Food chemical contamination remains one of the burdens to public health and may cause significant economic loss to agri-food industry and healthcare. Rapid, selective and sensitive determination of chemical contaminants in foods is of great importance to control food quality and ensure food safety. Traditional sample pretreatment methods have limited selectivity to the analytes and detection techniques (e.g., liquid chromatography-based methods) are usually labor-intensive, time-consuming, and even lack the specificity and/or sensitivity. Therefore, the overall objective of my Ph.D. thesis project was to investigate different chemosensors combining selective molecularly imprinted polymers (MIPs) with either surface enhanced Raman spectroscopy (SERS) or fluorescent quantum dots (QDs) to determine chemical hazards in different food matrices. Firstly, a MIPs-SERS/colorimetric dual sensor was developed using MIPs-packed solid phase extraction cartridge to isolate chlorpyrifos from apple juice. Silver nanoparticle (AgNPs) was applied for both colorimetric reaction for rapidly screening and semi-quantification of chlorpyrifos with concentrations ≥5 µg/mL by naked eye and SERS analysis for sensitive determination with a limit of detection (LOD) of 0.01 µg/mL based on aggregated AgNPs induced by chlorpyrifos. To further simplify SERS measurement, MIPs was wrapped on the surface of gold nanoparticles (AuNPs) as a dual functional nanomaterial (i.e., AuNPs@MIPs). A representative herbicide 2,4-dichlorophenoxyacetic acid (2,4-D) was selectively separated from milk by AuNPs@MIPs. Without analyte elution step, SERS measurement was directly conducted on AuNPs@MIPs and a LOD of 0.011 µg/mL was achieved for sensing 2,4-D. Furthermore, a quantum dots (QDs) based fluorescence sensor was developed to determinate enrofloxacin in swine muscle. Taking advantage of fluorescence quenching effect of QDs, enrofloxacin was sensitively detected with a LOD of 0.059 µg/mL. An inertial separation …
aggregated CHO: https://circle.library.ubc.ca/rest/handle/2429/79722
note: DEVELOPMENT OF NOVEL MOLECULARLY IMPRINTING CHEMOSENSORS FOR THE DETECTION OF CHEMICAL HAZARDS IN FOODS by Shaolong Feng BSc, Tianjin University of Science & Technology, 2011 MSc, Tianjin University of Science & Technology, 2014 A THESIS SUBMITTED IN PARTIAL FULFILLMENT OF THE REQUIREMENTS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY in THE FACULTY OF GRADUATE AND POSTDOCTORAL STUDIES (FOOD SCIENCE) THE UNIVERSITY OF BRITISH COLUMBIA (Vancouver) September 2021 © Shaolong Feng, 2021 ii The following individuals certify that they have read, and recommend to the Faculty of Graduate and Postdoctoral Studies for acceptance, the dissertation entitled: Development of novel molecularly imprinting chemosensors for the detection of chemical hazards in foods submitted by Shaolong Feng in partial fulfillment of the requirements for the degree of Doctor in Philosophy in Food Science Examining Committee: Xiaonan Lu, Associate Professor, Food Science, UBC Supervisor Keng C. Chou, Professor, Chemistry, UBC Supervisory Committee Member Mu Chiao, Professor, Mechanical Engineering, UBC University Examiner Savvas G. Hatzikiriakos, Professor, Chemical and Biological Engineering, UBC University Examiner Additional Supervisory Committee Members: Christine Scaman, Associate professor, Food Science, UBC Co-supervisor Russ Algar, Associate Professor, Chemistry, UBC Supervisory Committee Member iii Abstract Food chemical contamination remains one of the burdens to public health and may cause significant economic loss to agri-food industry and healthcare. Rapid, selective and sensitive determination of chemical contaminants in foods is of great importance to control food quality and ensure food safety. Traditional sample pretreatment methods have limited selectivity to the analytes and detection techniques (e.g., liquid chromatography-based methods) are usually labor-intensive, time-consuming, and even lack the specificity and/or sensitivity. Therefore, the overall objective of my Ph.D. thesis proje…
has type: Thesis/Dissertation
date issued: 2021-11
is shown at: 10.14288/1.0402151
language: eng
degree discipline: Food Science
provider: Vancouver : University of British Columbia Library
publisher: University of British Columbia
rights: Attribution-NonCommercial-NoDerivatives 4.0 International
rights URI: http://creativecommons.org/licenses/by-nc-nd/4.0/
scholar level: Graduate
contributor: Lu, Xiaonan
contributor: Scaman, Christine H.
type: Text
identifier URI: http://hdl.handle.net/2429/79722