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SBIR Phase I: Fiber Optic Affinity Ligand Sensor for Quantification of Petroleum and Bioremediation

SBIR Phase I: Fiber Optic Affinity Ligand Sensor for Quantification of Petroleum and Bioremediation
SBIR 第一阶段:用于石油定量和生物修复的光纤亲和配体传感器
批准号:
9760865
负责人:
Mark Jones
金额:
$9.99万
依托单位国家:
美国
项目类别:
Standard Grant
财政年份:
1998
资助国家:
美国
项目状态:
已结题
起止时间:
1998-01-01 至 1998-06-30

项目摘要

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中文摘要
翻译
*** 小行星9760865 该小型企业创新研究(SBIR)第一阶段项目将解决石油勘探,生产,精炼和储存场所周围环境的污染问题。 生物修复技术已被用于从环境中去除危险化学品;然而,监测这些网站是阻碍了昂贵和耗时的技术,需要获得必要的灵敏度和特异性。 例如,气相色谱-质谱联用、毛细管区带电泳或高效液相色谱已被用于监测环境接触,各种微生物活性和生物量测定方法已被用于监测补救过程。 GCIMS、CZE和HPLC需要昂贵的仪器、广泛的操作员专业知识和远离污染现场的实验室分析。 微生物活性或生物量测定是耗时的,并且对感兴趣的微生物的特异性是不可靠的。 第一阶段将探索一种新型光纤传感器,该传感器具有在石油活动领域进行环境监测的潜力,并可用于化学和生物传感平台。 生物和化学传感器预计将产生高分辨率,低成本,多目标系统,用于1)环境监测,2)饮用水和废水监测,3)医疗领域的大规模高速测试,4)化学分析,以及5)先进材料加工的智能监控。 ***
英文摘要
*** 9760865 Jones This Small Business Innovation Research (SBIR) Phase I project will address contamination in environments surrounding sites of petroleum exploration, production, refinement, and storage. Bioremediation techniques have been used to remove hazardous chemicals from the environment; however, monitoring these sites is hindered by expensive and time consuming techniques required to obtain necessary sensitivity and specificity. For example, gas chromatography coupled with mass spectrometry (GCMS), capillary zone electrophoresis (CZE), or high performance liquid chromatography (HPLC) have been used to monitor environmental exposure, and various methods of microbial activity and biomass assays have been used to monitor remediation processes. GCIMS, CZE, and HPLC require expensive instrumentation, extensive operator expertise, and laboratory analysis removed from the site of contamination. Microbial activity or biomass assays are time consuming, and specificity for the microbe of interest is not reliable. Phase I will explore a novel optical fiber sensor that has the potential for environmental monitoring in areas of petroleum activity and its in a chemical and biological sensing platform. Biological and chemical sensors are expected to yield high-resolution, low-cost, multi-target systems for applications in 1) environmental monitoring, 2) drinking and wastewater monitoring, 3) large scale, high-speed testing in the medical field, 4) chemical analysis, and 5) intelligent monitoring of advanced materials processing. ***
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