IEG 환경지질연구정보센터
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(4) ~ W~& . º ÿ'£Ò Î~ ' Ë8~ .~ï, ªVê>, ªç >, ¦b " ?f ¶ ö & æ 5 /;~ ¦öB Jº ;B ¢ 8~ ÒÏ ¢8~º ®{ W ^B ö & .6j ºî . ¢ Ö~8 *B ÿ'£Ò Î" ®{ W ªCj ÿö >¯>îb b >BW F8zb" &N *ê ï&öB~ ¢ ¸¢ > ® * . *Ú : Ú8J", Ê., ÿ£Ò Î, ®{ 9 ª+, %ºê ª+ *Corresponding author : [email protected] : 2003. 7. 1 : 2003. 11. 30 : 2004. 6. 30. ö%>¢ î~ # Æ~. ²Òߢ Hæ. 28.
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(9) ¦V V&ãÖ(«K¶ö V 8j &«)öB~ ^j Û ÚÂ³ê¢ (3)j Ï~ > ®î . s. s. a. s. a. 8). a. s. a. ¢ " ® . VB Îf Îv 7f 8 Òö. ò, zË Ï, ^ 5 ·~¢ ~ ÎW~ ¾ÒJ ~ ãÖ Ôÿn Â~ "öB~ Â ìº ©b &;~&b &gö ®~ ^ ®º ©b ·W~&. . W~ ãÖ Âì ÷nö ®º ãÖ &;~&b Ôÿn ^ç, Ó², ^ º&>î . Fig. 2¦V ï Â³êº Îf '' 81.4, 118.7 ng/hrîb & Â³êº 1037.6, 689.6 ng/hr ¾æÒ . ©f CÂï öBº W ÎW ¸~æò ÎW ^ï Ô V r^ö &Â³êº ç&'b '² ¾æÂ © . ÿ£Ò Î~ \9 öB ÒÏ ÿ'£Ò Îf ÚöB ÊF~ «, &Ò Ò VÂö & ©j >Ò~ ®b Haddadö ~B BBB © . Î~ Wf Fig. 3" ?b «K¶ö & ;~º Table 1ö ;Ò ~& . ;~ Îf ÿb" ÚöB VOC~ ÿj .G~º Ï>Úzb Ò' GöB Ò. ' ' ^
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(14) /. ªVç>ö çw~ ; ." B*' 2.2.. 12). ERinhal(t) = [OFs(t)Cs(t) + OFa(t)Ca(t)]BR(t). (3). VB ER(exposure rate, ng/hr)f * J"b~  ï, OF(occupancy factor, *ìr)º B ‘ ò ’ _f ‘ <~ ÷n’ö *~~ ®j &ËW ¯, 6FN j ~ . .¢ Ú, ò¢ B 7f 8 Òö zË j 10ª ÿn ÒÏ r OF º 0.167(=10/ 60) OF º 0.833(=1-OF )~ 8j <æò ß® ÿ' £Ò ÎöBº B' *ö ²Ö~º «" ÊF ³ê¢ ÒÏ~² >æ ÿ¢ ãÖö &B OF º 7 f 8 Ò~ ;ê 10ª ÿnò 1~ 8j &æ r OF º 0(=1-OF )~ 8j <º . Ú Îj Ï ÿ' ÎÒ¢ Matlab-simulinkj Ï ~ >¯~& . BR(breath rate)f * ^ï W êö V¢ ÿçö V¢ 8j 'Ï~& . Fig. 2º B ~ ÿn «~º ÊF~ ³ê s. a. s. s. a. s. Fig. 2. Inhalation rate of benzene in base case. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004. 8). Fig. 3. Conceptual representation of PBPK model for benzene (f: adipose tissue, s: slowly perfused tissues, r: rapidly perfused tissues, and l: liver)..
(15) `"æ~ æ~>ÒÏö* F¾ Ê.~ W«Âö & ÿ£Ò Î~ ®{ 9 ª+. 31. Table 1. Compartment and parameter definitions for PBPK model8). Table 2. Physiological parameters used in PBPK model for benzene18,12). Abbreviation Definition Cin Concentration in air inhaled Ca Concentration in alveolar air Cexh Measured concentration in expired breath Qa Alveolar ventilation rate Qb Cardiac output Pb Blood/air partition coefficient Ba Arterial blood concentration Venous blood concentration B Am Amount metabolized in liver Qi Blood flow rate to compartment i Vi Volume of compartment i Ci Concentration in compartment i Bi Concentration in venous blood leaving compartment i Ai Amount in compartment i Pi Tissue/blood partition coefficient for compartment i Vmax Maximum metabolic rate Km Michaelis constant. Parameters Values Alveolar ventilation rate (L/min) active inactive Man (65.42 kg) 796.2 442.8 Woman (54.66 kg) 529.2 330.6 Cardiac output (L/hr) 390 Blood flow rate (fraction of cardiac output) Fat 0.05 Slowly perfused tissues 0.25 Richly perfused tissues 0.44 Liver 0.26 Volume (fraction of body weight) Fat 0.19 Slowly perfused tissues 0.62 Richly perfused tissues 0.05 Liver 0.026 Partition coefficient Blood:air 7.4 Fat:air 406.0 SPT:air 15.0 RPT:air 11.0 Liver:air 11.0 Metabolic constant 17.1 Vmax (mg/h/kg) 0.35 Km (mg/L). ï;çö ®º ©b &;~& . (4)º æO^
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(18) B ÊF~ ·f ÿ .~ ÊF³êö V/. ªVç>¢ ~ ¾æÞ. . (6)öB (9)ræ~ Wf VOC~ «ö & ÿ '£Ò Îj ¾æÚº © ÚÊ *ö &~ ' ~ »'ï" ö çw~º »'³ê 5 ; .öB ~ ³ê& ÿö ÎÒ>Ú > ®² B . (8)f (10)" ? ;Ò~ ÿ .~ ÊF³ê(B )¢ > ® . i. i. i. l. m. m. Îö «K ' ~ ¦b, .~ï, ªVç> 5 & Òªç> " ?f Ò' ;º Table 2ö º£~ ;Ò~& . 12). · Qi Bi= --------- (B – B ) Vi P i a i. (4). · · Ql Am Bl= ---------- (Ba – Bl )– ----------. (5). · VmaxBl Am= ---------------Km + Bl. (6). 1 B =----- ∑ Qi B i. (7). (QaCin + QbB)dt = (QaCa + QbBa)dt. (8). Qa (Cin − Ca) = Qb(Ba − B). (9). Vl P l. Vl Pl. Qb. in. a. a. a. a. 15). r C = B /P a. a. b. Ba = (QaCin + QbB)/((Qa/Pb) + Qb). (10). ®{ 9 ª+ ®{ WªC¦ «K¶ò " ¦V áÚæº «Ö"~~ >&ê $º Îj Û *2>º ®{. 2.4.. 10,13). Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004.
(19) 32. BçÁ*^Á;æÁFêÁFÿÁ·æö. Fig. 4. Profile distribution of benzene concentration in blood stream leaving from each organ derived from uncertainty analysis of 24 hrsimulation. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004.
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(32) ~ ; .~ ÊF³êº ¦¾" *Ú æ pº . >ö SPT, RPT,. Fig. 5. Profile distribution of benzene removed by metabolization and exhalation from 24 hr-simulation. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004.
(33) 34. Bç&Á*^Á;æÁFêÁFÿÁ·æö. Fig. 6. Profile distribution of benzene concentration in blood stream leaving from each organ derived from uncertainty analysis of 12 dayssimulation. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004.
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(55) ~ ã Ö Îf~ ï(mean)f 348.0, 252.2(ng), 78(median) f 346.1, 248.3(ng), ~~(5th percentile)º 299.4, 200.0 ng, ç~º(95th percentile)f 398.7, 335.3 ng êÖ> î . SPTº ï '' 60.8, 43.8 ng, 78f 60.7, 43.5 ng, ~~º 51.3, 36.5 ng, ç~º 71.2, 50.9 ng î . ¾^æ RPT, *f Îv 3 ng~ Ö 'f »'ïj ¾æÚî . Fig. 8f 12¢~ ËV* Âö &~ &Òªf ^ VÂö ~ ÊF~ Bïj ¾æÞ © . ÎfÎv ^VÂö ~ BN &Òªö ~ © £ 2 V ¸~ . ®{ W
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(58) BçÁ*^Á;æÁFêÁFÿÁ·æö. 36. Fig. 8. Profile distribution of benzene removed by metabolization and exhalation from 12 days-simulation.. öBº &Ë z® ÒÏ>º Spearman rank-order correlation j Ï~&b r" ? ;~B . 6 ∑ (xi – yi ) ρ=1 –---------------------------2 n( n –1 ) 2. (11). VB x , y º X, Y æ>~ i®~ B*(rank) n f þ2~ >¢ ~ . -² áÚê ρ 8f −1öB 1ræ æ~º −1ö &rÖ r~ ç&&ê& ®rj ~ . ρ ~ .&8 º ©f «K¶ò~ ®{ W « Ö"~ö 'Ëj "º ©j ~ . V¢B Spearman rank-order correlationj ê ¢ B*z~ « Ö"ö 'Ë j "º 7º«K¶ò ~ B*¢ áj > ® . Fig. 9f B >¯ ®{ WªCÖ"¢ :ûb Î «K¶~ 7ºê¢ Spearman rank-order correlation b R~ " ® . ~ ÿn~ ÂÖ"öB ^(BR)" Michaelis ç>(K )& &Òªf ^V ö Ûb ¸f 7ºê¢ ¾æÚ ® . ^ïf «Â~ Âïö ç7 &ê~º ¶ *ÚBï" i. i. m. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004. jf~² B . Michaelis ç>º *öB~ ÊF~ &Òª ³êf &ê~² B . ¯ Michaelis ç>8 Ã&~ ò¢ ª³ê& 'Úæ² >æ &Òª(metabolism) fº r~ ç&&ê¢ &æ >& ^VÂ~ 'Ë ² ¾æ¾² >æ ^VÂï"º ·~ ç&&ê¢ <² B . öB ÒÏ ÿ'£Ò Î~ êÖöB Ë V¦bº ªVç>~ *~f B ?bæ ®{ Wj
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(62) `"æ~ æ~>ÒÏö* F¾ Ê.~ W«Âö & ÿ£Ò Î~ ®{ 9 ª+. 37. Fig. 9. Importance analysis of input paranmeters for the outcome of PBPK model. The outcome is amount of benzene removed by metabolism and exhalation for 24 hours and 12 days.. ÊF· *Ú ² >æ ^WVÂ~ · *Ú ² B. . V¢B ç 7ºê¢ &æ r~ ç&&ê¢ & æ² B . ËV* Âö &Bº VÂ" ÿ¢~² C > ®º jÝ 7ºê Ö"¢ ¾æî . 3.. Ö V. ÊFj
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(69) & &Ë ¸f r~ ç&&ê¢ ¾æÚî . m. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004.
(70) BçÁ*^Á;æÁFêÁFÿÁ·æö. 38. Ò Ò >¯ö ôf êæj " ö¶K²~ Fÿ ;Òþþ 6Òãî .. ^^ò 1. 2.. 3.. 4.. 5.. 6.. 7.. ~ã¦. ß;J".*JJ~Á¦Ò . , 2001 , available at http://www.me.go.kr. “Biodegradation of gasoline additives MTBE (Methyl-tertButyl Ether) and other oxygenates”, available at http:// kuic.kyonggi.ac.kr/~swchang. Kao, C.M. and Wang C.C., “Control of BTEX migration by intrinsic bioremediation at a gasoline spill site”, Water Research, 34(13), 3413-3423 (2000). Choi, K.-Y., Yu, D., Yang, J.-W., “Health risk assessment of oil leakage from a gas station”, J. of KSEE, 21(9), 1761-1771 (1999). Nakayama, A., Koyoshi, S., Morisawa, S., and Yagi, T., “Comparison of the mutations induced by p-benzoquinone, a benzene metabolite, in human and mouse cells”, Mutation Research, 470(2), 147-153 (2000). Spengle, J.D. and Dockery, D.W., “Personal exposure to respirable particulates and sulfates”, Journal of Air Pollution Control Association, 31, 153-159 (1981). Yu, D., Lee, H. S., Kim, S.-J., and Yang, J.-W, “Risk assessment of indoor pollution by BTEX released from ground-. Journal of KoSSGE Vol. 9, No. 1, pp. 28~38, 2004. water”, J. KOSAE, 18, 373-381 (2002). 8. Kim, S.-J., Cho, H.-J., Park, J.-Y., Yang, J.-W., and Yu, D., “A physiologically based pharmacokinetic model for contaminated indoor air from groundwater containing BTEX by inhalation pathway”, J. of KSEE. 24, 1465-1478 (2002). 9. Travis, C.C., Quillen, J.L., and Arms, A.D., “Pharmacokinetic of benzene”, Toxicol. Appl. Pharmacol, 102, 400-420 (1990). 10. Yu, D., “Uncertainty analysis of a pharmacokinetic modeling for inorganic arsenic”, Toxicol. Appl. Pharmacol, 70, 281-295 (1999). 11. Tardif, R., Charest-tardif, G., Brodeur, L., and Krishnan, K., “Physiologically based pharmacokinetic modeling of a ternary mixture of alkyl benzenes in rats and human”, Toxicol. Appl. Pharmacol, 144, 120-134 (1997). 12. Haddad, S., Tardif, R., CharestTardif, G., and Krishnan, K., “Physiological modeling of the toxico-kinetic interactions in a quaternary mixture of aromatic hydrocarbon”, Toxicol. Appl. Pharmacol, 161(3), 249-257 (1999). 13. Yu, D., Lee, H.S., Kim, S.-J., and Yang, J.-W., “Sensitivity and uncertainty analysis of two-compartment model for the indoor radon pollution”, J. KOSAE, 18, 327-334 (2002). 14. McKone, T.E., “Human exposure to volatile organic compounds in household tap water: the indoor inhalation pathway”, Environ. Sci. Technol., 21, 1194-1201 (1987). 15. Bogen, K.T. and McKone, T.E., “Linking indoor air and pharmacokinetic models to assess tetrachloroethylene risk”, Risk analysis, 8(4), 509-520 (1988)..
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