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完整後設資料紀錄
DC 欄位 | 值 | 語言 |
---|---|---|
dc.contributor.advisor | 林靖愉 | |
dc.contributor.author | Chun-Fu Chang | en |
dc.contributor.author | 張淳富 | zh_TW |
dc.date.accessioned | 2021-06-15T16:28:00Z | - |
dc.date.available | 2025-08-13 | |
dc.date.copyright | 2015-09-14 | |
dc.date.issued | 2015 | |
dc.date.submitted | 2015-08-13 | |
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dc.identifier.uri | http://tdr.lib.ntu.edu.tw/jspui/handle/123456789/52795 | - |
dc.description.abstract | 在製作合成皮革的過程中,工人可能會暴露於多種有機溶劑,例如二甲基甲醯胺 (N,N-dimethylforamide),甲苯 (toluene),丁酮 (methyl ethyl ketone),而這些溶劑都被證實會造成人體的負面健康效應。本研究的目的是想透過核磁共振為基礎的代謝體學來了解合成皮革工廠工人在受到廠內溶劑暴露後,對於其體內內生性代謝物的影響。
本次的研究對象為三十九位男性合成皮革工廠工人。在生物監測的部份,我們採集工廠內員工上班前和上班後的尿液,並利用500 MHz 的核磁共振儀來獲得員工尿液中的代謝物profile。另外在空氣採樣的部分,使用個人空氣採樣器來蒐集環境中二甲基甲醯胺、甲苯和丁酮等的濃度。最後使用主成分分析 、偏最小平方法分析和羅吉斯回歸來分析代謝物和溶劑之間的關係。 研究結果顯示,長期暴露於高濃度二甲基甲醯胺或高濃度甲苯會造成上工前尿液中2-oxoisovalerate 的下降 和 creatinine 的上升。暴露於較高濃度的甲苯還會導致hippurate 的上升,而暴露於較高濃度的丁酮會使尿液中histidine濃度下降。除此之外,共暴露二甲基甲醯胺和甲苯會增強對於內生性代謝物的影響,造成尿液中2-oxisovalerate、hippurate、3-hydroxybutyrate 和 3-aminoisobutyrate 的上升; guanidoacetate 和 phenylalanine 的下降。整體而言,我們發現合成皮革工廠員工在暴露於多種的有機溶劑下可能影響其體內的能量代謝和胺基酸代謝。另一方面,應避免同時暴露於二甲基甲醯胺和甲苯,且應配戴適當的個人防護具以降低員工的暴露程度。透過這個研究,我們可以利用新找到的生物指標來瞭解合成皮革工廠員工受到溶劑暴露後所產生的不良健康效應,並能夠藉由更完善的暴露評估給予員工更健康、更安全的工作環境。 | zh_TW |
dc.description.abstract | In the manufactoring processes of synthetic leather, the workers might expose to variety of solvents, such as N,N-dimethylformamide (DMF), toluene (TOL), methyl ethyl ketone (MEK) which were all confirmed to have adverse health effects toward human by previous studies. This reasearch is to study metabolic effects of numerous co-exposure solvents on the workers of synthetic leather factories by using 1H nuclear magnetic resonance (NMR)-based metabolomic approach.
Biological samples, urine, were collected from workers (n=39) of a synthetic leather factory in one day at 2 time points, pre-shift and post-shift. Metabolic profile of each sample was analyzed by 500 MHz NMR. Air samples were also collected using personal air-sampling to evaluate ambient concentration of DMF, TOL, MEK, and other solvents. Principal components analysis (PCA), partial least‐squares discriminant analysis (PLS‐DA), and logistic regression analysis were used to assess the association between metabolites and solvents. The results indicated that decreased level of 2-oxoisovalerate and elevated level of creatinine in pre-shift urine were associated with long-term exposure of higher level of DMF or higher level of TOL. Also, exposure to high level of TOL caused elevated level of hippurate and exposure to high level of MEK down regulated urinary histidine level. In addition, exposure to DMF and TOL simultaneously could enhance the effect on metabolic profiles that induced increased level of urinary 2-oxisovalerate, hippurate, 3-hydroxybutyrate and 3-aminoisobutyrate; depletion of guanidoacetate and phenylalanine. Overall, we discovered interference of the energy metabolism and amino acids metabolism when workers experienced multiple solvents exposure in the synthetic leather factory. Moreover, exposure to DMF and TOL simultaneously should be avoided by the workers and appropriate personal protective equipment is necessary to diminish worker’s exposure level. With the knowledge of this research, we can discover new biomarkers to identify adverse health effects induced by the solvents and conduct a better exposure assessment in order to give workers a better and safer occupational environment. | en |
dc.description.provenance | Made available in DSpace on 2021-06-15T16:28:00Z (GMT). No. of bitstreams: 1 ntu-104-R02844003-1.pdf: 3710424 bytes, checksum: 07a9427d713fbc0bc7f85d1c6e9bb668 (MD5) Previous issue date: 2015 | en |
dc.description.tableofcontents | 口試委員會審定書 i
誌謝 ii 摘要 iii Abstract v Content vii Figure Index ix Table Index x Chapter 1. Introduction 1 1.1 Background 1 1.2 Co-exposure effects 2 1.3 NMR-based metabolomics 4 1.4 Research objectives 6 Chapter 2. Materials and methods 7 2.1 Study participants 7 2.2 Biological monitoring 7 2.3 Environmental monitoring 8 2.4 Sample preparation for metabolic analysis 9 2.5 1H NMR spectral acquisition 9 2.6 NMR spectral processing 10 2.7 Metabolite identification 11 2.8 Statistical analysis 11 Chapter 3. Results 14 3.1 The effects of solvent levels on urinary metabolome within a day 15 3.2 Selected candidate metabolites and their association with solvent levels 17 3.3 The effects of solvent co-exposure on urinary metabolomes 18 Chapter 4. Discussion 20 4.1 Changes of urinary metabolomes due to time and solvent exposure 21 4.2 Effects of solvent concentration on selected candidate metabolites 22 4.3 Co-exposure effects on urinary metabolomes 24 4.4 Strengths and limitations 26 4.4.1 Study strengths 26 4.4.2 Study limitations 27 4.5 Conclusion 28 References 29 Figure Index Figure 1. A representative spectrum of urinary metabolic profiling performed by 500MHz 1H NMR from synthetic leather workers 36 Figure 2. PLS-DA scores plot from the analysis of 1H NMR spectra of urine collected from pre-shift and post-shift from workers with high (a) and low (b) levels of DMF exposure 37 Figure 3. PLS-DA scores plot from the analysis of 1H NMR spectra of urine collected from pre-shift and post-shift from workers with high (a) and low (b) levels of TOL exposure 38 Figure 4. PLS-DA scores plot from the analysis of 1H NMR spectra of urine collected from pre-shift and post-shift from workers with high (a) and low (b) levels of MEK exposure 39 Figure 5. PLSDA scores plot from the analysis of 1H NMR spectra of urine collected from pre-shift and post-shift from workers………………………………..40 Figure 6. Correlation between ambient concentration of DMF and urinary NMF concentration………………………………………………………………41 Table Index Table 1. Grouping for evaluation of co-exposure to DMF, TOL and MEK 42 Table 2. Characteristics of the study population 43 Table 3. Solvent concentration by 6-hours personal air-sampling 44 Table 4. Metabolite changes in worker’s urine between pre-shift and post-shift under different level of DMF exposure 45 Table 5. Metabolite changes in worker’s urine between pre-shift and post-shift under different level of TOL exposure 46 Table 6. Metabolite changes in worker’s urine between pre-shift and post-shift under different level of MEK exposure 47 Table 7. Metabolite changes in worker’s urine between pre-shift and post-shift 48 Table 8. Association between metabolites and DMF exposure 49 Table 9. Association between metabolites and TOL exposure 50 Table 10. Association between metabolites and MEK exposure 51 Table 11. The results of PLS-DA models of different co-exposure groups 52 Table 12. Metabolites changes between high and low level of DMF exposure when co-expose to high level of TOL 53 Table 13. Metabolites changes between high and low level of TOL exposure when co-expose to high level of DMF 54 Table 14. Metabolites changes between high and low level of TOL exposure when co-expose to low level of DMF 55 Table 15. Metabolites changes between high and low level of DMF/TOL co-exposure 56 | |
dc.language.iso | en | |
dc.title | 以核磁共振為主的代謝體學探討溶劑暴露對於合成皮工廠作業人員之影響 | zh_TW |
dc.title | 1H NMR-based Metabolomics to Study Effects of Solvent Exposure on Workers from Synthetic Leather Factories | en |
dc.type | Thesis | |
dc.date.schoolyear | 103-2 | |
dc.description.degree | 碩士 | |
dc.contributor.coadvisor | 程蘊菁 | |
dc.contributor.oralexamcommittee | 唐川禾,郭錦樺,吳焜裕 | |
dc.subject.keyword | 二甲基甲醯胺,甲苯,丁酮,共暴露,代謝體學,核磁共振,合成皮革工廠, | zh_TW |
dc.subject.keyword | N,N-dimethylformamide,toluene,methyl ethyl ketone,co-exposure,metabolomics,1H nuclear magnetic resonance,NMR,synthetic leather factory, | en |
dc.relation.page | 56 | |
dc.rights.note | 有償授權 | |
dc.date.accepted | 2015-08-14 | |
dc.contributor.author-college | 公共衛生學院 | zh_TW |
dc.contributor.author-dept | 環境衛生研究所 | zh_TW |
顯示於系所單位: | 環境衛生研究所 |
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