Long-term multiple chemical exposure assessment for a thin film transistor liquid crystal display (TFT-LCD) industry

Ying Fang Wang, Shih Min Wang, Yu Chieh Kuo, Chungsik Yoon, Ya Fen Wang, Peng-Chi Tsai

Research output: Contribution to journalArticle

Abstract

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.

Original languageEnglish
Pages (from-to)2891-2900
Number of pages10
JournalAerosol and Air Quality Research
Volume17
Issue number11
DOIs
Publication statusPublished - 2017 Nov 1

Fingerprint

Thin film transistors
Liquid crystal displays
Volatile organic compounds
volatile organic compound
crystal
liquid
industry
Industry
Photoionization
propylene glycol methyl ether
Detectors
Clean rooms
exposure
chemical
Acetone
Glycols
acetone
workplace
Linear regression
Regression analysis

All Science Journal Classification (ASJC) codes

  • Environmental Chemistry
  • Pollution

Cite this

Wang, Ying Fang ; Wang, Shih Min ; Kuo, Yu Chieh ; Yoon, Chungsik ; Wang, Ya Fen ; Tsai, Peng-Chi. / Long-term multiple chemical exposure assessment for a thin film transistor liquid crystal display (TFT-LCD) industry. In: Aerosol and Air Quality Research. 2017 ; Vol. 17, No. 11. pp. 2891-2900.
@article{f9a6e44fb0ca49348db672cc8a043286,
title = "Long-term multiple chemical exposure assessment for a thin film transistor liquid crystal display (TFT-LCD) industry",
abstract = "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.",
author = "Wang, {Ying Fang} and Wang, {Shih Min} and Kuo, {Yu Chieh} and Chungsik Yoon and Wang, {Ya Fen} and Peng-Chi Tsai",
year = "2017",
month = "11",
day = "1",
doi = "10.4209/aaqr.2017.08.0299",
language = "English",
volume = "17",
pages = "2891--2900",
journal = "Aerosol and Air Quality Research",
issn = "1680-8584",
publisher = "AAGR Aerosol and Air Quality Research",
number = "11",

}

Long-term multiple chemical exposure assessment for a thin film transistor liquid crystal display (TFT-LCD) industry. / Wang, Ying Fang; Wang, Shih Min; Kuo, Yu Chieh; Yoon, Chungsik; Wang, Ya Fen; Tsai, Peng-Chi.

In: Aerosol and Air Quality Research, Vol. 17, No. 11, 01.11.2017, p. 2891-2900.

Research output: Contribution to journalArticle

TY - JOUR

T1 - Long-term multiple chemical exposure assessment for a thin film transistor liquid crystal display (TFT-LCD) industry

AU - Wang, Ying Fang

AU - Wang, Shih Min

AU - Kuo, Yu Chieh

AU - Yoon, Chungsik

AU - Wang, Ya Fen

AU - Tsai, Peng-Chi

PY - 2017/11/1

Y1 - 2017/11/1

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=85033592939&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=85033592939&partnerID=8YFLogxK

U2 - 10.4209/aaqr.2017.08.0299

DO - 10.4209/aaqr.2017.08.0299

M3 - Article

VL - 17

SP - 2891

EP - 2900

JO - Aerosol and Air Quality Research

JF - Aerosol and Air Quality Research

SN - 1680-8584

IS - 11

ER -