SELECTIVE REAL-TIME DETECTION OF OLEFIN GASES AND VAPORS
烯烃气体和蒸气的选择性实时检测
基本信息
- 批准号:3420795
- 负责人:
- 金额:$ 8.74万
- 依托单位:
- 依托单位国家:美国
- 项目类别:
- 财政年份:1989
- 资助国家:美国
- 起止时间:1989-09-01 至 1992-08-31
- 项目状态:已结题
- 来源:
- 关键词:
项目摘要
Currently available personal direct-reading instruments for organic gases
and vapors are limited by the poor selectivity of the sensing components
employed. Determination of the concentrations of individual components of
even simple mixtures is generally not possible. Thus, there is a need for
improvements in sensor technology for industrial hygiene monitoring
applications. The development of highly selective chemical microsensors
and associated microinstrumentation would greatly improve our ability to
characterize and control occupational exposures to toxic chemicals.
We propose to develop a compact prototype instrument that utilizes a
coated surface-acoustic-wave (SAW) chemical microsensor to achieve
selective, real-time measurement of each of the following olefin gases
and vapors: acrylonitrile, butadiene, beta-chloroprene, ethylacrylate,
styrene, vinyl chloride, and vinylidene chloride. These target olefins
were chosen due to their potential carcinogenic, neurotoxic, and/or
adverse-reproductive health effects. Selectivity for a given target
olefin will be achieved by coating the surface of the SAW device with one
of several organoplatinum reagents designed to react specifically with
that olefin. Preliminary studies have shown that subtle changes of the
ligands in the reagent result in selective reactivity toward certain
olefins in the presence of other olefin and non-olefin co-contaminants.
Furthermore, following exhaustive exposure the original trapping reagent
can be regenerated, in situ, by simple chemical treatment, permitting
repeated use of the sensor.
A dual 97-MHz SAW.device having an integrated surface heating element and
an overall area of 0.8 cm2 will be fabricated in our laboratory. The
prototype instrument will be constructed from a single-board computer,
modified to accomodat the SAW microsensor and the associated circuitry.
The instrument will be equipped with data-storage and digital-readout
capabilities for both real-time and timeweighted-average measurements.
Instrument performance will be evaluated using dynamic test atmospheres
with respect to several relevant operating parameters.
目前可用的有机气体个人直接读数仪器
并且蒸汽受到传感元件的不良选择性的限制
就业。测定各组分的浓度
甚至简单的混合物通常也是不可能的。因此,需要
工业卫生监测传感器技术的改进
应用.高选择性化学微传感器的研制
和相关的微仪器将大大提高我们的能力,
描述和控制职业接触有毒化学品的情况。
我们建议开发一种紧凑的原型仪器,
涂层表面声波(SAW)化学微传感器,以实现
选择性地实时测量以下每种烯烃气体
和蒸气:丙烯腈,丁二烯,β-氯丁二烯,丙烯酸乙酯,
苯乙烯、氯乙烯和偏二氯乙烯。这些目标烯烃
由于其潜在的致癌性、神经毒性和/或
对生殖健康的不利影响。对给定靶点的选择性
将通过用一种
几种有机铂试剂,设计用于与
这种烯烃。初步研究表明,
试剂中的配体导致对某些化合物的选择性反应性,
在其它烯烃和非烯烃共污染物的存在下,
此外,在彻底暴露后,原始捕获试剂
可以通过简单的化学处理原位再生,
重复使用传感器。
一种具有集成表面加热元件的双97-MHz SAW器件,
将在我们的实验室中制造总面积为0.8cm2的材料。的
原型仪器将由单板计算机构成,
修改以容纳SAW微传感器和相关电路。
该仪器将配备数据存储和数字读出
实时和时间加权平均测量能力。
仪器性能将使用动态测试大气进行评估
关于几个相关的操作参数。
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)
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{{ truncateString('EDWARD T ZELLERS', 18)}}的其他基金
Wearable Microsystem for Continuous Multi-Vapor Monitoring
用于连续多蒸气监测的可穿戴微系统
- 批准号:
9098872 - 财政年份:2013
- 资助金额:
$ 8.74万 - 项目类别:
Wearable Microsystem for Continuous Multi-Vapor Monitoring
用于连续多蒸气监测的可穿戴微系统
- 批准号:
8737263 - 财政年份:2013
- 资助金额:
$ 8.74万 - 项目类别:
Wearable Microsystem for Continuous Multi-Vapor Monitoring
用于连续多蒸气监测的可穿戴微系统
- 批准号:
8870302 - 财政年份:2013
- 资助金额:
$ 8.74万 - 项目类别:
Microanalytical System for Indoor VOC Monitoring
室内 VOC 监测微量分析系统
- 批准号:
6759276 - 财政年份:1998
- 资助金额:
$ 8.74万 - 项目类别:
Microanalytical System for Indoor VOC Monitoring
室内 VOC 监测微量分析系统
- 批准号:
6624493 - 财政年份:1998
- 资助金额:
$ 8.74万 - 项目类别:
MICROANALYTICAL SYSTEM FOR INDOOR VOC MONITORING
用于室内 VOC 监测的微量分析系统
- 批准号:
6344516 - 财政年份:1998
- 资助金额:
$ 8.74万 - 项目类别:
Microanalytical System for Indoor VOC Monitoring
室内 VOC 监测微量分析系统
- 批准号:
6475355 - 财政年份:1998
- 资助金额:
$ 8.74万 - 项目类别:
MICROANALYTICAL SYSTEM FOR INDOOR VOC MONITORING
用于室内 VOC 监测的微量分析系统
- 批准号:
2860941 - 财政年份:1998
- 资助金额:
$ 8.74万 - 项目类别:
MICROANALYTICAL SYSTEM FOR INDOOR VOC MONITORING
用于室内 VOC 监测的微量分析系统
- 批准号:
6141419 - 财政年份:1998
- 资助金额:
$ 8.74万 - 项目类别: