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Long-term Multiple Chemical Exposure Assessment for a Thin Film Transistor Liquid Crystal Display (TFT-LCD) Industry

机译:薄膜晶体管液晶显示器(TFT-LCD)行业的长期多次化学暴露评估

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A surrogate approach was deployed for assessing long-term exposures of multiple chemicals at 8 selected working areas of 3 manufacturing processes located at a clean room of a thin film transistor liquid crystal display (TFT-LCD) industry. For each selected area, 6 to 12 portable photoionization detector (PID) were placed uniformly in its workplace to measure its total VOCs concentrations (CT-VOCs) for 6 randomly selected workshifts. Simultaneously, one canister was placed beside one of these portable PIDs, and the collected air sample was analyzed for individual concentration (CVOCi) of 107 VOCs. Predictive models were established by relating the CT-VOCs to CVOCi of each individual compound via simple regression analysis. The established predictive models were employed to construct a year-long CVOCi databank based on the measured year-long CT-VOC for each selected area using the same portable PID. The ethanol (381 ppb–2,480 ppb), acetone (123 ppb–624 ppb) and propylene glycol monomethyl ether acetate 29 (PGMEA; 14.4 ppb–2,241 ppb) dominated in all selected areas, and all measured CVOCi were much lower than their permissible exposure limits. Predictive models obtained from simple linear regression analyses were found with an R2 0.453 indicating that CT-VOCs were adequate for predicting CVOCi. The predicted year-long CVOCi reveals that long-term total multiple chemical exposures of all selected areas fall to the range 0.10%–20% of the permissible exposure level. Using the CT-VOCs as a surrogate for the routine checking purpose, the present study yielded allowable CT-VOCs fall to the ranges of 49.1 ppm–577 ppm. Considering the approach used in the present study requires less cost and manpower, it would be applicable to similar industries for conducting long-term multiple chemical exposure assessments in the future.
机译:在薄膜晶体管液晶显示器(TFT-LCD)工业洁净室中,采用了一种替代方法来评估3种制造工艺的8个选定工作区域中多种化学品的长期暴露。对于每个选定区域,将6到12个便携式光电离检测器(PID)均匀地放置在其工作场所中,以测量6个随机选择的工作班次的总VOC浓度(CT-VOC)。同时,在这些便携式PID之一旁边放置一个滤罐,并分析收集的空气样品中107种VOC的单独浓度(CVOCi)。通过简单回归分析将CT-VOCs与每种化合物的CVOCi相关联,建立了预测模型。使用已建立的预测模型,基于使用相同的便携式PID的每个选定区域的测得的一年期CT-VOC,来构建为期一年的CVOCi数据库。在所有选定区域中,乙醇(381 ppb–2,480 ppb),丙酮(123 ppb–624 ppb)和丙二醇单甲醚乙酸酯29(PGMEA; 14.4 ppb–2,241 ppb)占主导,所有测得的CVOCi均远低于其允许范围暴露极限。通过简单的线性回归分析获得的预测模型的R2> 0.453,表明CT-VOC足以预测CVOCi。预测的长达一年的CVOCi表明,所有选定区域的长期总多次化学暴露在允许的暴露水平的0.10%至20%范围内。使用CT-VOC作为替代品进行常规检查,本研究得出的CT-VOC允许范围为49.1 ppm–577 ppm。考虑到本研究中使用的方法需要较少的成本和人力,它将适用于类似行业,以便将来进行长期的多次化学暴露评估。

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