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研究生:康雅慈
研究生(外文):Kang, Yatzu
論文名稱:電焊燻煙暴露勞工生物偵測樣本中金屬成分長期變化研究
論文名稱(外文):Study on Long-term Variation of Metal Compositions in Biological Monitoring Samples of Workers with Welding Fume Exposure
指導教授:吳俊德
指導教授(外文):Wu, Jyunde
口試委員:陳美如許憲呈
口試日期:2011-06-29
學位類別:碩士
校院名稱:長榮大學
系所名稱:職業安全與衛生學系碩士班
學門:醫藥衛生學門
學類:公共衛生學類
論文種類:學術論文
論文出版年:2011
畢業學年度:99
語文別:中文
論文頁數:64
中文關鍵詞:電焊金屬燻煙空氣測定生物偵測樣本暴露評估
外文關鍵詞:weldingmetal fumeair samplingbiological monitoring samplesexposure assessment
相關次數:
  • 被引用被引用:3
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  • 下載下載:39
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本研究針對電焊作業勞工金屬燻煙中四種金屬成分(錳、鎳、鉻和鐵)的暴露進行測定。研究中選定兩組研究對象,分別為暴露組(電焊作業勞工)與非暴露組(行政人員),在半年期間的每個月均選定一週的3~5個工作天,採集研究對象的個人空氣暴露樣本及作業環境空氣樣本,並於不同時間間隔收集個人生物偵測樣本(尿液)。空氣暴露樣本使用裝有MCE濾紙的IOM採樣器進行採樣測定。所有採集的樣本以微波加熱進行消化,然後以原子吸收光譜儀器測定樣本金屬含量。於採樣期間,除了觀察記錄勞工的作業狀況外,並以問卷詢問電焊勞工的作業習慣和生活習慣,作為暴露評估的參考。本研究共獲得電焊勞工個人樣本26個,區域樣本30個,尿液樣本暴露組109個和非暴露組30個。兩個電焊作業區域(A和B)環境空氣樣本的金屬錳、鎳、鉻和鐵平均濃度分別為(1)A區:0.00323、0.00102、0.00111和0.00567 mg/m3;(2)B區:0.00971、0.00092、0.00099和0.03144 mg/m3。暴露組於半年內(長時間)一個月測定一次的尿液樣本,錳、鎳和鐵金屬濃度上工前均高於下工後,僅有鉻金屬濃度下工後略高於上工前;暴露組於一個月內(短時間)20天的尿液樣本測定,四種金屬的平均濃度上工前皆高於下工後。金屬濃度配對t檢定結果顯示:長時間和短時間測定上工前和下工後尿液所有金屬平均濃度有顯著差異。非暴露組勞工上工前尿液金屬錳、鎳和鉻平均濃度高於暴露組勞工長時間的濃度,但下工後尿液金屬錳和鐵平均濃度略高於暴露組勞工長時間的濃度;而當與暴露組勞工短時間尿液金屬平均濃度相比,非暴露組勞工無論是上工前或下工後尿液金屬濃度大部分都低於暴露組。尿液樣本的金屬濃度經肌酸酐調整後,顯示尿液金屬濃度上工前均低於下工後,說明電焊作業勞工從事電焊作業項目過程中會遭受金屬燻煙暴露,無論如何其暴露濃度均低,符合法定容許暴露限值。
In this study welding workers’ exposure to four metals including manganese (Mn), nickel (Ni), chromium (Cr) and iron (Fe) from metal fume were measured. Two groups (exposed and non-exposed groups) of study subjects were recruited for this study. The exposed group included welding workers from the welding processes of a high-tech plants manufacturing factory and the non-exposed group consisted of administrators in the same factory. Personal air exposure samples and environmental air samples and were collected on 3~5 workdays of a week in each month in a half year. Personal biological monitoring samples (urine) were also collected at different time spots during the air-sampling period. The air samples were taken by using an IOM sampler with a MCE filter. All the samples were digested in a microwave oven system. The content of the metals in the samples were quantified by using an atomic absorption spectrometry equipped with a graphite furnace. During the exposure sampling period, work activities of the workers were observed and recorded and a self-administered questionnaire was used to collect the demographic information and work history of the workers. In the study, 26 personal air exposure samples and 30 area air samples were obtained. The numbers of urine samples collected from the exposed and non-exposed groups were 109 and 30, respectively. The concentrations of Mn, Ni, Cr and Fe in the air of the work environment of two welding areas (A and B) were 0.00323, 0.00102, 0.00111 and 0.00567 mg/m3 for Area A and 0.00971、0.00092、0.00099 and 0.03144 mg/m3 for Area B. The concentrations of Mn, Ni and Fe in the pre-shift urine samples collected from the exposed group in each month of the half year (long-term measurement) were higher than those in the post-shift urine samples, but the concentration of Cr in the post-shift urine samples was higher then that in the pre-shift urine samples. The concentrations of these four metals in the pre-shift urine samples collected from the exposed group in each work day of a month (short-term measurement) were higher than those in the post-shift urine samples. Based on the results of paired-t tests, the metal concentrations of both long-term and short-term urine measurements showed statistically significant differences between the pre-shift and the post-shift urine samples. The Mn, Ni and Cr concentrations of the pre-shift urine samples of the non-exposed group were higher than those in the long-term measurements of the exposed group. But, the Mn and Fe concentrations of the post-shift urine samples of the non-exposed group were only a little bit higher than those in the long-term measurements of the exposed group. In comparison with the metal concentrations of the short-term measurements of the exposed-group, the metal concentrations of the pre- or post-shift urine samples of the non-exposed groups were lower than those of the exposed-group. The metal concentrations of the pre-shift urine samples with creatinine adjustment were lower than those of the post-shift urine samples. This indicated that the welding workers were exposed to welding metal fume. However, the metal fume exposure level of the workers was lower than the permissible occupational limits.
誌謝 I
摘要 II
Abstract III
目錄 V
表目錄 VIII
圖目錄 X
第一章 前言 1
1.1研究背景與動機 1
1.2研究目的 2
第二章 文獻回顧 3
2.1 電焊作業背景 3
2.2 電焊作業主要危害因子 4
2.3 電焊金屬燻煙的健康危害 5
2.4 電焊金屬燻煙的形成與粒徑分佈 7
2.5 電焊作業勞工金屬燻煙暴露生物偵測 8
2.6 電焊金屬燻煙之暴露評估 10
第三章 研究方法與設備 11
3.1研究架構 11
3.2 研究對象 12
3.3採樣策略 13
3.3.1作業環境空氣測定 14
3.3.2 個人空氣樣本暴露測定 15
3.3.3個人生物偵測樣本測定 15
3.3.4 現場工作狀況紀錄 16
3.4儀器分析條件 17
3.4.1作業環境與個人空氣樣本處理方法 18
3.4.2 尿液樣本分析 19
3.5樣本分析品保品管 19
3.5.1標準品檢量線製作 19
3.5.2偵測極限 (Limit of Detection, LOD) 23
3.5.3 分析樣本品管 24
3.5.4 回收率 24
3.5.5 檢量線再現性 25
3.5.6 空白分析 25
3.6 統計分析 26
第四章 結果與討論 28
4.1採樣對象-基本資料 28
4.1.1勞工人口學資料 28
4.1.2生活及飲食習慣調查 30
4.2空氣暴露測定 30
4.2.1作業環境空氣中金屬燻煙濃度 30
4.2.2作業環境空氣中金屬燻煙濃度相關性 33
4.2.3作業環境空氣中金屬燻煙濃度與容許濃度之比較分析 35
4.3個人尿液樣本測定 35
4.3.1暴露組與非暴露組尿液測定結果 35
4.3.2暴露組與非暴露組尿液樣本經肌酸酐值校正的數值分析 41
第五章 結論與建議 50
5.1結論 50
5.2建議 51
參考文獻 53
附件一 採樣紀錄表 59
附件二 人體試驗審查通過證明函 64

American Conference of Governmental Industrial Hygienists (ACGIH) (2011) TLVs Threshold Limit Values for Chemical Substances and Physical Agents and Biological Exposure Indices. Cincinnati, Ohio, ACGIH.
Antonini J.M., Lewis A.B., Roberts J.R. and Whaley D.A. (2003a) Pulmonary Effects of Welding Fumes: Review of Worker And Experimental Animal Studies, American Journal of Industrial Medicine 43:350–360.
Antonini JM, Taylor MD, Anthony T. Zimmer AT and Roberts JR. (2003b) Pulmonary responses to welding fumes: role of metal constituents, Journal of Toxicology and Environmental Health, Part A, 67:233–249.
Antonini J.M., Santamaria A.B., Jenkins N.T., Albini E., and Lucchini R. (2006) Fate of manganese associated with the inhalation of welding fumes: Potential neurological effects. Neurotoxicology 27:304–310.
ATSDR (Agency for Toxic Substances and Disease Registry) (2005) Nickel CAS#7440-02-0, http://www.atsdr.cdc.gov/tfacts15.html.
ATSDR (Agency for Toxic Substances and Disease Registry) (2008) Chromium CAS#7440-47-3, http://www.atsdr.cdc.gov/tfacts7.html.
ATSDR (Agency for Toxic Substances and Disease Registry) (2007) Lead CAS#7439-92-1, http://www.atsdr.cdc.gov/tfacts13.html.
Barceloux DG. (1999a) Chromium. Journal of Toxicology: Clinical Toxicology 37(2):173-194.
Barceloux DG. (1999b) Nickel, Clinical Toxicology, 37(2), 239–258 (1999)
Barbosa F Jr, Tanus-Santos JE, Gerlach RF, Parsons PJ. (2005) A critical review of biomarkers used for monitoring human exposure to lead: advantages, limitations, and future needs, Environ Health Perspect. 113(12):1669-1674.
Bader M, Dietz MC, Ihrig A, Triebig G. (1999). Biomonitoring of manganese in blood,
urine, and axillary hair following lowdose exposure during the manufacture of dry cell batteries. Int J Occup Env Health 72:521–527.
Bergdahl IA and Skerfving S. (2008) Biomonitoring of lead exposure-alternatives to blood, J Toxicol Environ Health A. 71(18):1235-1243.
Borm PJ, Robbins D, Haubold S, Kuhlbusch T, Fissan H, Donaldson K, Schins R, Stone V, Kreyling W, Lademann J, Krutmann J, Warheit D, Oberdorster E. (2006) The potential risks of nanomaterials: a review carried out for ECETOC. Part Fibre Toxicol. 3:11.
Brumis S, Scholz P, Materna B and Becker P. (2001) Lead exposure during hot cutting of stripped steel, Appl Occup Environ Hyg. 16(5):502-505.
Colli G, Terzi R, Terzi M, Catenacci G. (2005) Application of mathematical modelling for assessing the urinary half-times of nickel in stainless steel welders, G Ital Med Lav Ergon. 27(4):427-30.
Dasch J and D'Arcy J. (2008) Physical and chemical characterization of airborne particles from welding operations in automotive plants. J Occup Environ Hyg. 5(7):444-454.
Cowan DM, Fan QY, Zou Y, Shi X, Chen J, Aschner M, Rosenthal FS and Zheng W. (2009) Manganese exposure among smelting workers:blood manganese–iron ratio as a novel tool for manganese exposure assessment , Biomarkers, 14(1): 3–16.
Dennis JH, French MJ, Hewitt PJ, Mortazavi SB and Redding CA. (2002) Control of occupational exposure to hexavalent chromium and ozone in tubular wire arc-welding processes by replacement of potassium by lithium or by addition of zinc, Ann Occup Hyg. 46(1):33-42.
Edme JL, Shirali AP, á M. Mereau M, Sobaszek A, Boulenguez C, Diebold F and Haguenoer JM. (1997) Assessment of biological chromium among stainless steel and mild steel welders in relation to welding processes, Int Arch Occup Environ Health 70:237-242.
Gemenetzis, P., Moussas, P., Arditsoglou, A., Samara, C., (2006). Mass concentration and elemental composition of indoor PM2.5 and PM10 in university rooms in Thessaloniki, northern Greece. Atmospheric Environment 40, 3195–3206.
International Agency for Research on Cancer (1997) IARC Monographs on the Evaluation of Carcinogenic Risks to Humans, Volume 49 Chromium, Nickel and Welding, Summary of Data Reported and Evaluation, http://www.inchem.org/documents/iarc/vol49/chromium.html.
James M., James P., Diane B. (2006) Development of an animal model to study the potential neurotoxic effect associated with welding fume inhalation, Neurotoxicology. 27:745-751.
Jenkins NT, Pierce WM-G and Eagar TW. (2005) Particle size distribution of gas metal and flux cored arc welding fumes, Welding Journal 156s-163s.
Kim JY, Chen J-C, Boyce PD and Christiani DC. (2005) Exposure to welding fumes is associated with acute systemic inflammatory responses, Occup Environ Med 62:157–163.
Mena I, Marin O, Fuenzalida S and Cotzias GC. (1967) Chronic manganese poisoning: clinical picture and manganese turnover, Neurology 17:128–136.
Nakadate T, Aizawa Y, Yagami T, Zheg YQ, Kotani M, Ishiwata K. (1998) Change in obstructive pulmonary function as a result of cumulative exposure to welding fumes as determined by magnetopneumography in Japanese arc welders, Occup Environ Med., 55(10):673-677.
Oberdorster G, Ferin J, Gelein R, Soderholm SC and Finkelstein J. (1992) Role of the aveolar macrophage in lung injury; studies with ultrafine particles, Environ. Health Perspect. 97:193–199.
Oberdörster G. (2001) Pulmonary effects of inhaled ultrafine particles, Int Arch Occup Environ Health. 74(1):1-8.
Oberdorster G, Oberdorster E, Oberdorster J. (2005) Nanotoxicology: an emerging discipline evolving from studies of ultrafine particles, Environ Health Perspect. 113:823-39.
OSHA (1996) Welding Health Hazards, OSHA Office of Training and Education, U.S. Department of Labor, Occupational Safety & Health Administration, http://www.osha.gov/doc/outreachtraining/ htmlfiles/ weldhlth.html.
Smith D, Gwiazda R, Bowler R, Roels H, Park R, Taicher C, Lucchini R. (2007).
Biomarkers of Mn exposure in humans. Am J Ind Med. 50:201–811.
Wang X, Yang Y, Wang X and Xu S. (2006) The effect of occupational exposure to metals on the nervous system function in welders, J Occup Health. 48(2):100-106.
Welinder H, Littorin M, Gullberg B, Skerfving S. (1983) Elimination of chromium in urine after stainless steel welding, Scand J Work Environ Health. 9(5):397-403.
Wei-Chun Chou, Chia-Pin Chio, Chung-Min Liao. (2009) Assessing airborne PM-bound
arsenic exposure risk in semiconductor manufacturing facilities, Journal of Hazardous Materials. 167 :976–986.
Willingham and Hilton, (1986) Some Aspects of Fume Emissions from MIG Welding Stainless Steel. Welding and Metal Fabrication. 7:226-229.
Zimmer AT and Biswas P. (2001) Characterization of the aerosols resulting from arc welding processes, Journal of Aerosol Science 32:993-1008.
Zimmer AT, Baron PA, and Biswas P. (2002) The influence of operating parameters on number-weighted aerosol size distribution generated from a gas metal arc welding process, Journal of Aerosol Science 33: 519–531.
勞工安全衛生研究所 (2008) 採樣分析方法通則, 行政院勞工委員會, 勞工安全衛生研究所, http://www.iosh.gov.tw/Publish.aspx?cnid=243, 網站資料更新:2008/9/12.
勞工安全衛生研究所 (2005) 採樣分析建議方法--- CLA 3011 砷等元素ICP採樣分析方法, 行政院勞工委員會,http://www.iosh.gov.tw/Publish.aspx?cnid=249& P=981,網站資料更新:2008/9/12.
謝俊明 (1998) 不銹鋼電弧焊燻煙暴露危害與評估技術研究,行政院勞工委員會勞工安全衛生研究所研究報告。
謝俊明、周劍平(2003) 電弧爐作業勞工重金屬暴露調查研究,行政院勞工委員會勞工安全衛生研究所研究報告。
謝俊明 (2006) 電焊勞工錳鉻鎳重金屬暴露調查技術探討,行政院勞工委員會勞工安全衛生研究所研究報告。
陳秋蓉 (2004) 證照技術人員世代資料庫建立與健康追蹤,行政院勞工委員會勞工安全衛生研究所研究報告。
陳秀玲、林洺秀 (2009) 鑄造廠勞工重金屬粉塵所產生之氧化性傷害評估,行政院勞工委員會勞工安全衛生研究所研究報告。
熊映美、謝俊明 (2009) 電焊燻煙暴露勞工細胞毒性與奈米微粒相關性研究,行政院勞工委員會勞工安全衛生研究所研究報告。
熊映美、劉佩珊 (2009) 電焊作業勞工金屬奈米物質暴露生物指標,行政院勞工委員會勞工安全衛生研究所。
行政院勞工委員會 (2010) 勞工作環境空氣中有害物容許濃度標準,行政院勞工委員會。
高玫鍾 (2001) 燃燒拜香產生反應性含氧化物種之探討,國立台灣大學環境衛生研究所碩士論文。
褚柏胤 (2005) 電焊技術士世代資料庫與資訊系統建立,中國醫藥大學環境醫學研究所碩士論文。
吳幸真 (2010) ,精密零組件製造廠作業勞工之金屬燻煙暴露測定 , 長榮大學職業安全與衛生研究所碩士論文。
勞工安全衛生研究所 (2008) 分析方法資料庫-所有採樣分析參考方法,行政院勞工委員會。
勞工安全衛生研究所 (2008) 安全資料表資料庫- IOSH安全資料 (SDSP024T0119-電焊作業),行政院勞工委員會。
勞工安全衛生研究所 (2005) 採樣分析建議方法--- CLA 3011 砷等元素ICP 採樣分析方法, 行政院勞委員會.
勞工安全衛生研究所 (2005) 所有採樣分析參考方法(行政院勞委會標準分析參考方法-NIOSH 7600,鉻酸),行政院勞工委員會。
勞工安全衛生研究所 (2002) 所有採樣分析參考方法(行政院勞委會標準分析參考方法- NIOSH 7082,鉛),行政院勞工委員會。
勞工安全衛生研究所 (2001) 所有採樣分析參考方法(行政院勞委會標準分析參考方法-OSHA ID121,錳),行政院勞工委員會。
勞工安全衛生研究所 (2009) 2008年職場危害因子容許標準建議值,「鎳金屬、不可溶及可溶性化合物」,行政院勞工委會。
勞工安全衛生研究所 (2009) 2008年職場危害因子容許標準建議值,「職場錳及其化合物容許標準建議值,行政院勞工委會。
化學品全球調和制度GHS網,危害物質危害數據資料,(IOSH)物質安全資料表,金屬鉛、鎳、錳、鉻酸,行政院勞工委員會勞工安全衛生研究所。
行政院員境保護署環境檢驗所 (2004) 水中金屬測驗方法-石墨爐式原子吸收光譜法。

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