Remote Automated Water Testing System Development

远程自动水质检测系统开发

基本信息

  • 批准号:
    538694-2019
  • 负责人:
  • 金额:
    $ 5.46万
  • 依托单位:
  • 依托单位国家:
    加拿大
  • 项目类别:
    Applied Research and Development Grants - Level 2
  • 财政年份:
    2020
  • 资助国家:
    加拿大
  • 起止时间:
    2020-01-01 至 2021-12-31
  • 项目状态:
    已结题

项目摘要

Water is essential to our lives and is our most precious resource, yet our ability to monitor the quality of water assets quickly, reliably, and on site is lacking. Traditional water quality analysis methods conducted through analytical laboratory-based technologies are complex, time consuming and costly. By combining biology and engineering, FREDsense Technologies Corporation developed an award winning biosensor platform, which uses living cells to quickly detect and report water-borne chemicals and contaminants, without the need to ship samples for costly analysis at a laboratory. The platform has been proven to be a rapid, user-friendly water monitoring technique that enables analysis of complex samples directly in the field without lengthy preparation steps. However, the company is facing one major obstacle - the current manual water injection hinders application of the platform in remote areas. The Southern Alberta Institute of Technology (SAIT) and FREDsense propose to advance the company's initial development and design of an automated water quality monitoring biosensor designed to work with their Field-Ready Electrochemical Detector (FRED®). The Engage grant completed between SAIT and FREDsense developed a baseline design and preliminary plan for the automated water sampler. This three year project will build a fully functional prototype automated biosensor for water quality monitoring capable of automatic water sample collection, evaluating the sample for contaminants and wirelessly transferring data. The prototype will be tested in the laboratory and the field. The opportunity to protect against the ill effects of arsenic and other containments in water is moving closer to a commercial solution that will be benefit the oil and gas, mining, agriculture and other industries, as well as communities and municipalities. Affordable, accurate portable automated water quality sensor device resulting from this project has the potential to be applied around the world where water quality is a concern.
水对我们的生活至关重要,是我们最宝贵的资源,但我们缺乏快速、可靠和现场监测水资产质量的能力。通过以实验室为基础的分析技术进行的传统水质分析方法复杂、耗时和昂贵。通过将生物和工程相结合,FREDense Technologies Corporation开发了一种屡获殊荣的生物传感器平台,该平台使用活细胞快速检测和报告水性化学物质和污染物,而不需要将样品运往实验室进行昂贵的分析。该平台已被证明是一种快速、用户友好的水监测技术,可以直接在现场分析复杂样品,而无需冗长的准备步骤。然而,该公司面临着一个主要障碍--目前的人工注水阻碍了该平台在偏远地区的应用。 南艾伯塔省理工学院(SAIT)和FREDense建议推进公司自动化水质监测生物传感器的初步开发和设计,该传感器旨在与他们的现场就绪电化学检测器(FRED®)配合使用。SAIT和FREDense之间完成的Engage赠款为自动取水器制定了基线设计和初步计划。这个为期三年的项目将建立一个全功能的水质监测自动生物传感器原型,能够自动采集水样,评估样品的污染物,并以无线方式传输数据。样机将在实验室和现场进行测试。 防止水中砷和其他遏制物的不良影响的机会正在向商业解决方案靠拢,这将使石油和天然气、采矿、农业和其他行业以及社区和市政当局受益。由该项目产生的价格实惠、准确的便携式水质自动传感器装置具有在世界各地水质令人担忧的地方应用的潜力。

项目成果

期刊论文数量(0)
专著数量(0)
科研奖励数量(0)
会议论文数量(0)
专利数量(0)

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

数据更新时间:{{ journalArticles.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ monograph.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ sciAawards.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ conferencePapers.updateTime }}

{{ item.title }}
  • 作者:
    {{ item.author }}

数据更新时间:{{ patent.updateTime }}

Bornhorst, Thomas其他文献

Bornhorst, Thomas的其他文献

{{ item.title }}
{{ item.translation_title }}
  • DOI:
    {{ item.doi }}
  • 发表时间:
    {{ item.publish_year }}
  • 期刊:
  • 影响因子:
    {{ item.factor }}
  • 作者:
    {{ item.authors }}
  • 通讯作者:
    {{ item.author }}

{{ truncateString('Bornhorst, Thomas', 18)}}的其他基金

Developing Geospatial Unmanned Systems Based Resort Management Planning Tool
开发基于地理空间无人系统的度假村管理规划工具
  • 批准号:
    549771-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Cargo Tracking and Vehicle Monitoring
货物追踪和车辆监控
  • 批准号:
    531784-2018
  • 财政年份:
    2020
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Applied Research and Development Grants - Level 2
Improvement Components for Electro-Hydraulic Pulse System
电液脉冲系统的改进部件
  • 批准号:
    555560-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Applied Research and Development Grants - Level 2
Deep Green Commercial Building Prototype 'Solar Place'
深绿色商业建筑原型“Solar Place”
  • 批准号:
    560335-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Powerless sensing of fugitive gas emissions for clean technology applications
清洁技术应用中逸散性气体排放的无动力传感
  • 批准号:
    558323-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Advancing olefin/paraffin separation with Permylene technology
利用 Permrene 技术推进烯烃/石蜡分离
  • 批准号:
    560212-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Centre for Innovation and Research into Unmanned Systems
无人系统创新研究中心
  • 批准号:
    513390-2017
  • 财政年份:
    2020
  • 资助金额:
    $ 5.46万
  • 项目类别:
    College and Community Innovation Program
NSERC Industrial Research Chair for Colleges in Oil Sands In Situ Steam Generation
NSERC 油砂原位蒸汽发电学院工业研究主席
  • 批准号:
    488011-2015
  • 财政年份:
    2020
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Industrial Research Chairs for Colleges Grants
Portable Electrochemical COVID-19 Unit for Biomedical Wastewater Treatment
用于生物医学废水处理的便携式电化学 COVID-19 装置
  • 批准号:
    554457-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Applied Research Rapid Response to COVID-19
A Green Technology for Extension of Conventional Marine Diesel Fuel Oils
传统船用柴油推广的绿色技术
  • 批准号:
    519780-2017
  • 财政年份:
    2020
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Applied Research and Development Grants - Level 2

相似海外基金

I-Corps: Automated water quality monitoring system using satellite data for measurements of water resource characteristics
I-Corps:利用卫星数据测量水资源特征的自动化水质监测系统
  • 批准号:
    2205585
  • 财政年份:
    2022
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Standard Grant
Development of an Innovative Agricultural Water Management Platform (Holistic Automated Irrigation Management - HAIM)
开发创新的农业用水管理平台(整体自动化灌溉管理 - HAIM)
  • 批准号:
    10005810
  • 财政年份:
    2021
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Collaborative R&D
Development of an Automated and Adaptable Novel Irrigation System for Greenhouse Expansion to Efficiently meet the Water and Nutrient Needs of Various Tree and Plant Species
开发用于温室扩建的自动化、适应性强的新型灌溉系统,以有效满足各种树木和植物物种的水和养分需求
  • 批准号:
    561013-2020
  • 财政年份:
    2020
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Remote Automated Water Testing System Development
远程自动水质检测系统开发
  • 批准号:
    538694-2019
  • 财政年份:
    2019
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Applied Research and Development Grants - Level 2
Collaborative Research: Automated observations of phytoplankton communities from open water moorings
合作研究:从开放水域系泊处自动观测浮游植物群落
  • 批准号:
    1810927
  • 财政年份:
    2018
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Standard Grant
Automated Search for Materials for Ammonia Synthesis and Water Splitting
自动搜索氨合成和水分解材料
  • 批准号:
    1806079
  • 财政年份:
    2018
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Standard Grant
Collaborative Research: Automated observations of phytoplankton communities from open water moorings
合作研究:从开放水域系泊处自动观测浮游植物群落
  • 批准号:
    1810932
  • 财政年份:
    2018
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Standard Grant
Developing an Automated Reliable Methodology for the Detection and Correction of Error within a Sanitary and Storm Water Data Collection and Processing System
开发一种自动可靠的方法来检测和纠正卫生和雨水数据收集和处理系统中的错误
  • 批准号:
    514081-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Engage Grants Program
Automated Water Sensor Research
自动化水传感器研究
  • 批准号:
    520922-2017
  • 财政年份:
    2017
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Applied Research and Development Grants - Level 1
Automated topography mapping of land and shallow water from UAV-based video by using color, parallax, and polarization.
使用颜色、视差和偏振,通过基于无人机的视频自动绘制陆地和浅水地形图。
  • 批准号:
    16K21194
  • 财政年份:
    2016
  • 资助金额:
    $ 5.46万
  • 项目类别:
    Grant-in-Aid for Young Scientists (B)
{{ showInfoDetail.title }}

作者:{{ showInfoDetail.author }}

知道了