• 분석과학
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• 제27권3호
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• pp.153-160
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• 2014

세계적으로 석면분석방법에 관한 다양한 연구사례가 발표되고 있는 가운데, 분석방법의 차이에 따른 석면함유물질(ACM, Asbestos Containing Material) 결과에 대한 관심이 대두되고 있다. 본 연구에서는 균질성이 확보된 ACM 시료를 시야평가법(visual estimation method)과 포인트계수법(point counting method)의 분석결과에 대한 비교 평가를 통하여 분석기관 및 분석자의 신뢰성 향상과 더불어 편광현미경 분석의 기초자료를 확보고자 하였다. 석면분석은 정성분석과 정량분석으로 구분하였으며, 석면정량을 위한 방법은 EPA 600-R-93-116의 시야평가법과 포인트계수법으로 총 400지점을 계수하는 방법으로 실시하였다. 먼저 준비된 시료의 균질성을 분산분석을 이용하여 확인한 결과 이상이 없음을 확인하였다. 정성분석의 결과는 백석면과 갈석면으로 확인되었고 정량분석결과는 포인트계수법이 시야평가법과 비교하여 전체적인 석면함유량이 저평가되는 경향과 함께 포인트계수법은 분석과정이 조금 복잡하고 분석시간이 많이 소요되었다.

• 한국대기환경학회지
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• 제24권3호
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• pp.346-356
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• 2008

Asbestos is the name of a group of minerals with long and thin fibers that originate naturally in the environment. Asbestos mainly affects lungs and the membrane that surrounds the lungs. In general, PCM (phase contrast microscopy) and PLM (polarized light microscopy) have been used to analyze asbestos fibers. However, these methods have often problems to over-estimate number concentration when counting real asbestos fibers. Moreover, there are many difficulties when separating and identifying various asbestos and non-asbestos fibers. In order to determine quantitative information on fibrous particles, source profiles for asbestos and non-asbestos fibers must be initially developed on the basis of their chemical compositions and physical parameters. In our study, a SEM/EDX was used to develop source profiles from known asbestos samples as reference samples. We could make the source profile matrix consisting of 6 types of asbestos fibers and 2 types of non-asbestos fibers by analyzing 380 fibers. Based on these profiles, a rule building expert system was developed by using the visual basic application (VBA). Various fibers were successfully classified by 2 simple rules in the EXCEL environment based on several visual steps such as inserting data, viewing results, and saving results. For a case study to test the expert system, samples from a construction materials and from various indoor environments such as a residental area, a preschool classroom, and an underground store were collected and analyzed. As a result of the survey, a total of 76 individual test fiber particles was well classified into 5 different types of particle classes; 9.3% of chrysotile, 15.4% of amosite, 0.8 of crocidolite, 4.2% of tremolite, 5.8% glass fiber, 21.1% of other fibers, and 43.5% of unknown fibers in terms of number concentration. Even though unknown portion was high, it will be decreased markedly when expanding fiber source profiles.