Analytical Separation Methods for Characterization of Environmental and Food Molecular Markers

用于表征环境和食品分子标记物的分析分离方法

基本信息

  • 批准号:
    RGPIN-2017-05575
  • 负责人:
  • 金额:
    $ 2.04万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Discovery Grants Program - Individual
  • 财政年份:
    2017
  • 资助国家:
    加拿大
  • 起止时间:
    2017-01-01 至 2018-12-31
  • 项目状态:
    已结题

项目摘要

This research program aims to develop novel and enhanced analytical methods for detecting chemical markers to identify contaminants from environmental, industrial and food sources. An essential part of the study will be to develop techniques for enhancing the sensitivity and sample throughput for the detection of the chemical markers. The proposed study thus would investigate the suitability of constituents of environmental and industrial effluents as chemical markers for fingerprinting sources and extent of pollution. This would be significant in settling questions of environmental impact and legal liability. Industries such as mining, oil and gas, and forestry, and their operations produce a variety of pollutants that persist in the environment and contaminate food. This research program would target chemical constituents, such as endocrine disruptors, piscicides, hormones, and sterols present in environmental water bodies (lakes, surface waters, wastewaters, rivers, ponds) which are increasingly being used as indicators of environmental behaviour such as accumulation and contamination. The study will also investigate indicator compounds which contaminate transformer fluids used in power utility companies as the transformer ages in service. These indicator compounds tend to cause transformer faults resulting in significant cost-implications for the power supplier and, in extreme cases, explosion with a consequent threat of severe injury or death. Enhanced and sensitive separation methods will also be developed for choline chloride used as clay stabilizers in the oil and gas industry and polysulfides which impact corrosion in the oil and gas industry. Food markers are identifiers used to trace quality and safety of foodstuffs during their production or consumption. Focus will be placed on food products from the agricultural and dairy industries with the goal of developing markers that can be used to trace sources of contamination from these industries. The goal is to use fatty acids and oligosaccharides to differentiate and identify quality of dairy products and to use whey proteins to identify source of whey pollution in the dairy industry. Overall, this research program would focus on developing enhanced separation methods, primarily capillary electrophoresis (CE) and liquid chromatography-mass spectrometry (LC/MS), for the characterization of chemical constituents that can be used as tracers or indicators for environmental contamination, food authenticity, and pollution from agricultural industries.
该研究计划旨在开发新的和增强的分析方法,用于检测化学标记物,以识别环境,工业和食品来源的污染物。这项研究的一个重要部分将是开发技术,提高检测化学标记的灵敏度和样品通量。因此,拟议的研究将调查环境和工业废水的成分是否适合作为确定污染源和污染程度的化学标记。这对解决环境影响和法律的责任问题将具有重要意义。采矿、石油和天然气以及林业等行业及其操作产生各种污染物,这些污染物在环境中持续存在并污染食品。这一研究方案将针对环境水体(湖泊、地表沃茨、废水沃茨、河流、池塘)中存在的化学成分,如内分泌干扰物、杀鱼剂、激素和甾醇,这些化学成分越来越多地被用作积累和污染等环境行为的指标。该研究还将调查在电力公司使用的Transformer老化时污染Transformer流体的指示剂化合物。这些指示剂化合物倾向于引起Transformer故障,导致对供电商的显著成本影响,并且在极端情况下,引起爆炸,随之而来的是严重伤害或死亡的威胁。还将开发用于石油和天然气工业中用作粘土稳定剂的氯化胆碱和影响石油和天然气工业中腐蚀的多硫化物的增强和灵敏的分离方法。食品标志是用于在生产或消费过程中跟踪食品质量和安全的标识符。重点将放在农业和乳制品行业的食品上,目标是开发可用于追踪这些行业污染源的标记物。目的是利用脂肪酸和低聚糖来区分和鉴定乳制品的质量,并利用乳清蛋白来鉴定乳制品工业中乳清污染的来源。总体而言,该研究计划将专注于开发增强的分离方法,主要是毛细管电泳(CE)和液相色谱-质谱(LC/MS),用于表征可用作环境污染,食品真实性和农业污染的示踪剂或指标的化学成分。

项目成果

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Donkor, Kingsley其他文献

Donkor, Kingsley的其他文献

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{{ truncateString('Donkor, Kingsley', 18)}}的其他基金

Analytical Separation Methods for Characterization of Environmental and Food Molecular Markers
用于表征环境和食品分子标记物的分析分离方法
  • 批准号:
    RGPIN-2017-05575
  • 财政年份:
    2022
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Analytical Separation Methods for Characterization of Environmental and Food Molecular Markers
用于表征环境和食品分子标记物的分析分离方法
  • 批准号:
    RGPIN-2017-05575
  • 财政年份:
    2021
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Development of Prophylactic Therapy as a Preventative Strategy to Reduce COVID-19 Infections
开发预防性治疗作为减少 COVID-19 感染的预防策略
  • 批准号:
    554857-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Alliance Grants
Analytical Separation Methods for Characterization of Environmental and Food Molecular Markers
用于表征环境和食品分子标记物的分析分离方法
  • 批准号:
    RGPIN-2017-05575
  • 财政年份:
    2020
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Analytical Separation Methods for Characterization of Environmental and Food Molecular Markers
用于表征环境和食品分子标记物的分析分离方法
  • 批准号:
    RGPIN-2017-05575
  • 财政年份:
    2019
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Development of an industrial scale ash residual amendment, and application methodology and analysis of its environmental impact on agriculture soils
工业规模灰渣改良剂的开发及其应用方法和对农业土壤的环境影响分析
  • 批准号:
    511842-2017
  • 财政年份:
    2019
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Collaborative Research and Development Grants
Development of an industrial scale ash residual amendment, and application methodology and analysis of its environmental impact on agriculture soils
工业规模灰渣改良剂的开发及其应用方法和对农业土壤的环境影响分析
  • 批准号:
    511842-2017
  • 财政年份:
    2018
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Collaborative Research and Development Grants
Analytical Separation Methods for Characterization of Environmental and Food Molecular Markers
用于表征环境和食品分子标记物的分析分离方法
  • 批准号:
    RGPIN-2017-05575
  • 财政年份:
    2018
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual
Characterization and degradation studies of xanthates in mining waters
采矿水中黄原酸盐的表征和降解研究
  • 批准号:
    519939-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Engage Plus Grants Program
Environmental and Food Molecular Markers: Characterization and Binding Mechanism by Separation Methods
环境和食品分子标记:通过分离方法表征和结合机制
  • 批准号:
    RGPIN-2016-06580
  • 财政年份:
    2016
  • 资助金额:
    $ 2.04万
  • 项目类别:
    Discovery Grants Program - Individual

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