کد مقاله | کد نشریه | سال انتشار | مقاله انگلیسی | نسخه تمام متن |
---|---|---|---|---|
6339877 | 1620374 | 2014 | 4 صفحه PDF | دانلود رایگان |
عنوان انگلیسی مقاله ISI
Improved methods for elemental analysis of atmospheric aerosols for evaluating human health impacts of aerosols in East Asia
ترجمه فارسی عنوان
روش های بهبود یافته برای تجزیه و تحلیل عنصری آئروسل های جوی برای ارزیابی تاثیرات بهداشتی انسان ها در آسیای شرقی
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موضوعات مرتبط
مهندسی و علوم پایه
علوم زمین و سیارات
علم هواشناسی
چکیده انگلیسی
This paper provides improved elemental analysis methods for the characterization of atmospheric particulate matter (PM) samples. With the aim of developing an approach for comprehensive trace element analysis of small mass of PM samples, we coupled an enhanced microwave-assisted acid digestion method with high-resolution magnetic sector inductively coupled plasma-mass spectrometry (SF-ICP-MS). We also propose a rapid and simple method using energy dispersive X-ray fluorescence spectrometry (EDXRF) that has secondary targets and three-dimensional polarization optics for screening elemental composition of PM. We obtained the concentrations of 44 elements ranged from 10â3 to 105 μg/g by SF-ICP-MS, and 16 elements ranged from 101 to 105 μg/g by EDXRF. The analytic results obtained by these two methods agreed well. Comprehensive analysis for a large set of elements was demonstrated by using the improved SF-ICP-MS method, while EDXRF coupled with fundamental parameter (FP) quantification method can analyze several selected elements as fast as 900 s (15 min) per sample with only minimal sample pretreatment. We provide two possible choices of analysis methods for elucidating elemental composition of PM according to the number of samples, target elements, sample amounts, time and cost for analysis required.
ناشر
Database: Elsevier - ScienceDirect (ساینس دایرکت)
Journal: Atmospheric Environment - Volume 97, November 2014, Pages 552-555
Journal: Atmospheric Environment - Volume 97, November 2014, Pages 552-555
نویسندگان
Tomoaki Okuda, James J. Schauer, Martin M. Shafer,