Volume 14, Issue 1 (2017)                   ioh 2017, 14(1): 39-46 | Back to browse issues page

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Heidari M. Performance Assessment of Needle Trap Micro-sampler with Silica-based Carbon Nanotube Composite for Health Monitoring of Perchloroethylene in Laboratory and Field. ioh 2017; 14 (1) :39-46
URL: http://ioh.iums.ac.ir/article-1-1627-en.html
Guilan University of Medical Sciences , heidari@gums.ac.ir
Abstract:   (5229 Views)

Background and aims: Needle trap micro-sampler, with all advantages of microextraction techniques such as solid phase microextraction, owing to the ease of use and becoming a powerful method for air pollution monitoring. In this study, the performance of needle trap micro-sampler device with silica composite of carbon nanotubes, prepared using sol-gel technique, was investigated for health monitoring of perchloroethylene in air.

Methods: After preparation of proposed sorbent, 1.5 cm length of a 21-gauge needle (10 cm length and 0.52 mm I.D.) packed and the experimental parameters adjusted and the performance of micro-extraction sampler assessed in the sampling, storage and desorption stages for micro-sampling and determination of perchloroethylene. Finally the sampler was used for air monitoring of perchloroethylene in the dry cleaning and compared with NIOSH relevant method.

Results: The results demonstrated that breakthrough volumes were more than 1300 and 1100 ml for needle trap packed with CNTs/silica composite and CAR/PDMS, respectively. Increasing the sampling temperature and relative humidity reduced the sampling efficiency and the needle trap devices with both sorbents showed less than 4% for analyte losses after seven days. In the field sampling, needle trap with nano-structured sorbent showed better response comparing to the NIOSH 1003 method.

conclusion: Needle trap device packed with silica composite of carbon nanotubes showed good performance for sampling of perchloroethylene in air and recommended for health monitoring of occupational and environmental pollutant.

Full-Text [PDF 630 kb]   (2290 Downloads)    
Type of Study: Research | Subject: Air pollution monitoring
Received: 2015/10/11 | Accepted: 2016/02/7 | Published: 2017/05/31

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