Article(id=1322945324561605069, tenantId=1146029695717560320, journalId=1283840372199657495, issueId=1322945277518295906, articleNumber=null, orderNo=null, doi=10.3724/SP.J.1123.2024.04002, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1711900800000, receivedDateStr=2024-04-01, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1793344344511, onlineDateStr=2026-10-30, pubDate=1749312000000, pubDateStr=2025-06-08, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1793344344511, onlineIssueDateStr=2026-10-30, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1793344344511, creator=13701087609, updateTime=1793344344511, updator=13701087609, issue=Issue{id=1322945277518295906, tenantId=1146029695717560320, journalId=1283840372199657495, year='2025', volume='43', issue='6', pageStart='559', pageEnd='709', issueExtLink='null', onlineDate='null', pubDate='1749312000000', pubDateStr='2025-06-08', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1793344333294, creator='13701087609', updateTime=1793345297848, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1322949323251654982, tenantId=1146029695717560320, journalId=1283840372199657495, issueId=1322945277518295906, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1322949323251654983, tenantId=1146029695717560320, journalId=1283840372199657495, issueId=1322945277518295906, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=640, endPage=649, ext={EN=ArticleExt(id=1322945324771320270, articleId=1322945324561605069, tenantId=1146029695717560320, journalId=1283840372199657495, language=EN, title=Simultaneous determination of 10 phthalate metabolites in urine by ultra performance liquid chromatography -tandem mass spectrometry, columnId=1284557502633185292, journalTitle=Chinese Journal of Chromatography, columnName=Articles, runingTitle=null, highlight=null, articleAbstract=

Phthalates （PAEs） are widely employed as plasticizers in plastic products that are used in industrial， agricultural， food， medical， and other fields. PAEs are relatively weakly bonded to plastic products through non-covalent interactions. Consequently， PAEs can easily leak from the product into the environment， which exposes the public to PAEs through food intake， skin absorption from personal care products， and by inhaling air. Related studies have shown that PAEs are endocrine-disrupting substances and that long-term exposure to PAEs may result in diseases of the nervous， reproductive， cardiovascular and immune systems. In addition， excessive exposure to PAEs may trigger inflammatory responses and induce tumors. Therefore， establishing a highly sensitive assay for determining PAE levels in the human body following exposure is an important objective. PAEs generally have half-lives of less than 24 h； they are rapidly metabolized through enzymatic hydrolysis after entering the human body and excreted through urine. Therefore， most studies have focused on PAE metabolites as target compounds； hence， human body exposure to PAEs can be assessed by analyzing the types and levels of these metabolites. Herein， we established a method for simultaneously determining ten phthalate （PAE） metabolites in human urine using ultra performance liquid chromatography-tandem mass spectrometry （UPLC-MS/MS）. The ten PAE metabolites in urine were separated using an ACQUITY UPLC BEH Phenyl column （50 mm×2.1 mm， 1.7 μm）. Gradient elution was performed using 0.1% formic acid aqueous solution and 0.1% formic acid in acetonitrile as the mobile phases， at a flow rate of 0.5 mL/min， a column temperature of 40 ℃， and a sample size of 20 μL. Data were acquired in negative-ion electrospray ionization （ESI） and multiple reaction monitoring （MRM） modes， and quantified using the isotope internal standard method. The method was found to be highly specific， with the ten PAE metabolites exhibiting good linearities in their linear ranges， with limits of detection （LODs） and quantification （LOQs） of 0.03–0.3 and 0.1–1 ng/mL， respectively. Under the four quality control （QC） levels， the intra-day and inter-day precisions of the ten PAE metabolites were all ≤8.3%， and the accuracy ranged from ‒10.5% to 7.3%. The method was used to assess the exposure levels of PAE metabolites in the urine samples of 60 volunteers， with 1‒6 kinds of PAE metabolites detected in the urine of each volunteer. This method is sensitive， accurate， simple， efficient， and suitable for the large-scale biological monitoring of PAE metabolites.

, authors=Xiaoying ZHAO¹, Hui KANG², Yanyan WANG¹, Wenhui LI³, Ming CHEN³, Chan KE¹, Feng QIN^{1, *}, Xixiong KANG^{2, *}, authorsList=Xiaoying ZHAO, Hui KANG, Yanyan WANG, Wenhui LI, Ming CHEN, Chan KE, Feng QIN, Xixiong KANG, authorCompany=null, correspAuthors=Feng QIN, Xixiong KANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited., copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, fund=null), CN=ArticleExt(id=1322945325706650067, articleId=1322945324561605069, tenantId=1146029695717560320, journalId=1283840372199657495, language=CN, title=超高效液相色谱-串联质谱同时测定尿液中10种邻苯二甲酸酯代谢物, columnId=1284557502792568846, journalTitle=色谱, columnName=研究论文, runingTitle=null, highlight=null, articleAbstract=

建立了超高效液相色谱-串联质谱（UPLC-MS/MS）同时测定人尿液中10种邻苯二甲酸酯（PAEs）代谢物的方法，并将该方法应用于人体内PAEs代谢物的暴露水平评估。采用固相萃取技术对尿液中的10种PAEs代谢物进行前处理，使用ACQUITY UPLC BEH Phenyl色谱柱（50 mm×2.1 mm， 1.7 μm）分离，以0.1%甲酸水和0.1%甲酸乙腈为流动相进行梯度洗脱，流速为0.5 mL/min，柱温为40 ℃，进样量为20 μL。在电喷雾电离（ESI）源负离子模式下进行检测，多反应监测模式采集数据，同位素内标法定量。方法学验证结果表明，该方法的专属性高，10种PAEs代谢物在各自的线性范围内线性关系良好，检出限（LOD）为0.03~0.3 ng/mL，定量限（LOQ）为0.1~1 ng/mL；在4个质控水平下，10种PAEs代谢物的日内和日间精密度均≤8.3%，准确度（用相对误差表示）为‒10.5%~7.3%。将该方法应用于评估60名志愿者尿液中PAEs代谢物的暴露水平，每名志愿者的尿液中均可检出1~6种PAEs代谢物。该方法灵敏准确，简便高效，适用于PAEs代谢物的大规模生物监测。

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MMP： mono-methyl phthalate； MEP： mono-ethyl phthalate； MBzP： mono-benzyl phthalate； MnBP： mono-n-butyl phthalate； MEOHP： mono-（2-ethyl-5-oxohexyl） phthalate； MiBP： mono-iso-butyl phthalate； MnOP： mono-n-octyl phthalate； MCHP： mono-cyclohexyl phthalate； MPP： mono-n-pentyl phthalate； cx-MINCH： cyclohexane-1，2-dicarboxylate-mono-carboxyisononyl ester.

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Peak identifications： 1. MMP； 2. MEP； 3. MiBP； 4. MnBP； 5. MEOHP； 6. MBzP； 7. MCHP； 8. MPP； 9. cx-MINCH； 10. MnOP.

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Retention times and MS parameters of the 10 PAE metabolites and their isotope internal standards

, figureFileSmall=null, figureFileBig=null, tableContent=

Compound	tR/min	Parent ion （m/z）	Daughter ions （m/z）	CV/V	CE/V
MMP	0.90	178.9	107.0*， 77.0	20	10， 16
MEP	1.32	193.0	77.1*， 121.1	32	14， 12
MiBP	2.76	221.0	134.1*， 77.1	42	10， 15
MnBP	2.87	221.0	71.0*， 149.1	20	14， 10
MEOHP	3.04	291.1	143.1*， 121.1	20	12， 20
MBzP	3.23	255.0	77.1*， 104.6	22	18， 16
MCHP	3.34	247.1	97.1*， 77.1	12	14， 21
MPP	3.41	235.0	85.1*， 77.1	22	14， 18
cx-MINCH	3.45	327.1	173.1*， 153	42	16， 24
MnOP	4.04	277.1	127.1*， 77.1	20	14， 19
MMP-d4	0.88	183.0	81.0	30	16
MEP-d4	1.31	197.1	81.1	18	14
MiBP-d4	2.75	225.1	138.1	20	14
MnBP-d4	2.85	225.1	81.1	24	20
MEOHP-d4	3.02	295.1	143.1	20	12
MBzP-d4	3.21	259.1	187.1	36	12
MCHP-d4	3.32	251.0	97.0	20	14
MPP-d4	3.40	239.1	81.1	20	16
cx-MINCH-d8	3.44	335.1	173.1	16	14
MnOP-d4	4.02	281.1	127.1	20	18

), ArticleFig(id=1322945329238254098, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1322945324561605069, language=CN, label=表 1, caption=

10种PAEs代谢物及其同位素内标的保留时间和质谱参数

, figureFileSmall=null, figureFileBig=null, tableContent=

Compound	tR/min	Parent ion （m/z）	Daughter ions （m/z）	CV/V	CE/V
MMP	0.90	178.9	107.0*， 77.0	20	10， 16
MEP	1.32	193.0	77.1*， 121.1	32	14， 12
MiBP	2.76	221.0	134.1*， 77.1	42	10， 15
MnBP	2.87	221.0	71.0*， 149.1	20	14， 10
MEOHP	3.04	291.1	143.1*， 121.1	20	12， 20
MBzP	3.23	255.0	77.1*， 104.6	22	18， 16
MCHP	3.34	247.1	97.1*， 77.1	12	14， 21
MPP	3.41	235.0	85.1*， 77.1	22	14， 18
cx-MINCH	3.45	327.1	173.1*， 153	42	16， 24
MnOP	4.04	277.1	127.1*， 77.1	20	14， 19
MMP-d4	0.88	183.0	81.0	30	16
MEP-d4	1.31	197.1	81.1	18	14
MiBP-d4	2.75	225.1	138.1	20	14
MnBP-d4	2.85	225.1	81.1	24	20
MEOHP-d4	3.02	295.1	143.1	20	12
MBzP-d4	3.21	259.1	187.1	36	12
MCHP-d4	3.32	251.0	97.0	20	14
MPP-d4	3.40	239.1	81.1	20	16
cx-MINCH-d8	3.44	335.1	173.1	16	14
MnOP-d4	4.02	281.1	127.1	20	18

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Regression equations， correlation coefficients （r²）， LODs， and LOQs of the 10 PAE metabolites

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Compound	Regression equation	r2	LOD/（ng/mL）	LOQ/（ng/mL）
MMP	y=0.016x+0.0074	0.9996	0.3	1
MEP	y=0.0195x+0.0051	0.9979	0.2	0.5
MiBP	y=0.0097x+0.005	0.9980	0.3	1
MnBP	y=0.0091x+0.011	0.9971	0.3	1
MEOHP	y=0.0485x+0.0017	0.9999	0.03	0.1
MBzP	y=0.0078x+0.0008	0.9995	0.03	0.1
MCHP	y=0.1153x‒0.0083	0.9989	0.03	0.1
MPP	y=0.093x+0.0028	0.9987	0.2	0.5
cx-MINCH	y=0.0935x‒0.0036	0.9995	0.03	0.1
MnOP	y=0.0155x‒0.0026	0.9989	0.03	0.1

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10种PAEs代谢物的回归方程、相关系数、检出限和定量限

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Compound	Regression equation	r2	LOD/（ng/mL）	LOQ/（ng/mL）
MMP	y=0.016x+0.0074	0.9996	0.3	1
MEP	y=0.0195x+0.0051	0.9979	0.2	0.5
MiBP	y=0.0097x+0.005	0.9980	0.3	1
MnBP	y=0.0091x+0.011	0.9971	0.3	1
MEOHP	y=0.0485x+0.0017	0.9999	0.03	0.1
MBzP	y=0.0078x+0.0008	0.9995	0.03	0.1
MCHP	y=0.1153x‒0.0083	0.9989	0.03	0.1
MPP	y=0.093x+0.0028	0.9987	0.2	0.5
cx-MINCH	y=0.0935x‒0.0036	0.9995	0.03	0.1
MnOP	y=0.0155x‒0.0026	0.9989	0.03	0.1

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Accuracies， intra- and inter-day RSDs of the 10 PAE metabolites under four quality control （QC） levels

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Compound	QC level/（ng/mL）	Intra-day RSD/% （n=6）	Inter-day RSD/% （n=18）	Accuracy/% （n=18）
MMP	5	4.3	4.8	‒0.4
	15	2.4	3.3	3.6
	200	0.7	1.7	3.4
	800	2.3	3.2	1.7
MEP	5	2.8	8.2	‒2.1
	15	1.6	4.9	4.9
	200	1.0	4.2	6.1
	800	1.7	5.4	0.3
MiBP	5	3.6	5.0	2.0
	15	2.1	2.4	4.6
	200	0.3	1.6	5.4
	800	1.4	2.5	‒1.1
MnBP	5	2.2	3.8	‒2.3
	15	2.5	4.3	‒1.0
	200	2.3	3.4	‒2.4
	800	2.0	3.4	‒6.3
MEOHP	1	5.0	4.2	‒1.2
	3	2.6	3.4	3.8
	40	1.5	1.8	3.3
	160	1.4	1.7	0.1
MBzP	5	6.3	7.3	‒3.3
	15	1.5	2.4	4.0
	200	3.2	3.0	4.8
	800	1.4	2.4	0.6
MCHP	1	6.1	8.3	‒6.1
	3	2.9	4.7	1.9
	40	2.5	2.9	0.9
	160	2.3	3.4	0.4
MPP	1	6.6	5.3	‒10.5
	3	5.5	4.9	‒2.2
	40	2.7	3.3	‒1.4
	160	3.6	3.3	0.5
cx-MINCH	1	3.1	3.9	‒4.9
	3	1.6	2.2	1.3
	40	2.6	2.4	0.5
	160	1.5	1.8	‒1.1
MnOP	5	2.9	4.0	1.8
	15	1.3	2.6	7.1
	200	1.4	3.1	7.3
	800	1.7	3.4	7.2

), ArticleFig(id=1322945329716404758, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1322945324561605069, language=CN, label=表 3, caption=

10种PAEs代谢物在4个质控水平下的准确度和日内、日间精密度

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Compound	QC level/（ng/mL）	Intra-day RSD/% （n=6）	Inter-day RSD/% （n=18）	Accuracy/% （n=18）
MMP	5	4.3	4.8	‒0.4
	15	2.4	3.3	3.6
	200	0.7	1.7	3.4
	800	2.3	3.2	1.7
MEP	5	2.8	8.2	‒2.1
	15	1.6	4.9	4.9
	200	1.0	4.2	6.1
	800	1.7	5.4	0.3
MiBP	5	3.6	5.0	2.0
	15	2.1	2.4	4.6
	200	0.3	1.6	5.4
	800	1.4	2.5	‒1.1
MnBP	5	2.2	3.8	‒2.3
	15	2.5	4.3	‒1.0
	200	2.3	3.4	‒2.4
	800	2.0	3.4	‒6.3
MEOHP	1	5.0	4.2	‒1.2
	3	2.6	3.4	3.8
	40	1.5	1.8	3.3
	160	1.4	1.7	0.1
MBzP	5	6.3	7.3	‒3.3
	15	1.5	2.4	4.0
	200	3.2	3.0	4.8
	800	1.4	2.4	0.6
MCHP	1	6.1	8.3	‒6.1
	3	2.9	4.7	1.9
	40	2.5	2.9	0.9
	160	2.3	3.4	0.4
MPP	1	6.6	5.3	‒10.5
	3	5.5	4.9	‒2.2
	40	2.7	3.3	‒1.4
	160	3.6	3.3	0.5
cx-MINCH	1	3.1	3.9	‒4.9
	3	1.6	2.2	1.3
	40	2.6	2.4	0.5
	160	1.5	1.8	‒1.1
MnOP	5	2.9	4.0	1.8
	15	1.3	2.6	7.1
	200	1.4	3.1	7.3
	800	1.7	3.4	7.2

), ArticleFig(id=1322945330039366167, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1322945324561605069, language=EN, label=Table 4, caption=

Detectable contents of the 10 PAE metabolites in the urine of 60 volunteers

, figureFileSmall=null, figureFileBig=null, tableContent=

Sample	Contents/（ng/mL）
	MMP	MEP	MiBP	MnBP	MEOHP	MBzP	MCHP	MPP	cx-MINCH	MnOP
1	14.3	7.6	9.7	28.5	6.2	ND	ND	ND	ND	ND
2	ND	32.0	ND	8.8	60.0	ND	ND	ND	ND	ND
3	ND	ND	ND	25.1	3.2	ND	ND	ND	ND	ND
4	9.4	ND	8.0	48.8	4.2	ND	ND	ND	ND	ND
5	10.7	7.7	14.7	95.5	7.5	ND	ND	ND	ND	ND
6	9.9	16.7	7.8	36.4	1.5	ND	ND	ND	ND	ND
7	14.8	ND	16.3	53.9	6.3	ND	ND	ND	ND	ND
8	5.7	455.9	6.7	34.6	51.7	ND	ND	ND	94.8	ND
9	7.7	44.7	ND	12.1	4.6	ND	ND	ND	ND	ND
10	88.7	8.1	5.5	22.8	5.5	ND	ND	ND	ND	ND
11	ND	48.3	ND	11.9	1.5	ND	ND	ND	ND	ND
12	5.3	101.8	ND	31.7	39.1	ND	ND	ND	208.3	ND
13	10.7	11.7	10.7	95.8	5.5	ND	ND	ND	ND	ND
14	12.4	ND	9.6	49.5	6.2	ND	ND	ND	ND	ND
15	ND	ND	ND	8.6	6.9	ND	ND	ND	ND	ND
16	ND	ND	ND	17.9	3.7	ND	ND	ND	ND	ND
17	10.1	14.2	16.2	55.6	5.9	ND	ND	ND	ND	ND
18	8.8	ND	ND	11.8	1.3	ND	ND	ND	1.5	ND
19	8.6	6.6	ND	7.5	1.9	ND	ND	ND	ND	ND
20	12.3	5.3	8.9	55.9	5.5	ND	ND	ND	ND	ND
21	5.6	69.1	7.4	24.3	3.2	ND	ND	ND	ND	ND
22	9.3	ND	5.5	13.1	2.0	ND	ND	ND	ND	ND
23	10.0	ND	5.4	25.3	6.1	ND	ND	ND	ND	ND
24	ND	133.6	ND	17.3	1.7	ND	ND	ND	ND	ND
25	7.9	ND	12.8	26.8	6.1	ND	ND	ND	ND	ND
26	ND	ND	8.0	27.8	6.7	ND	ND	ND	ND	ND
27	14.1	ND	ND	20.8	6.1	ND	ND	ND	ND	ND
28	ND	1371.1	ND	12.9	3.0	ND	ND	ND	ND	ND
29	ND	ND	ND	22.6	4.1	ND	ND	ND	ND	ND
30	ND	ND	ND	ND	23.7	ND	ND	ND	ND	ND
31	5.9	ND	7.5	27.3	6.2	ND	ND	ND	ND	ND
32	ND	8.9	ND	64.1	3.9	ND	ND	ND	ND	ND
33	9.0	162.4	ND	30.4	3.7	ND	ND	ND	ND	ND
34	8.9	22.2	ND	36.6	3.4	ND	ND	ND	ND	ND
35	7.5	ND	ND	24.6	2.6	ND	ND	ND	ND	ND
36	ND	ND	ND	21.6	3.2	ND	ND	ND	ND	ND
37	5.5	392.4	11.6	39.2	12.8	ND	ND	ND	ND	ND
38	12.8	7.1	180.5	71.2	12.7	ND	ND	ND	ND	ND
39	9.6	ND	11.8	79.7	5.0	ND	ND	ND	ND	ND
40	9.8	ND	7.6	27.5	36.3	ND	ND	ND	ND	ND
41	5.3	ND	ND	22.0	4.0	ND	ND	ND	ND	ND
42	11.9	13.8	7.3	23.7	11.6	ND	ND	ND	ND	ND
43	5.0	ND	7.1	7.5	4.2	ND	ND	ND	ND	ND
44	9.5	ND	7.5	25.9	3.7	ND	ND	ND	ND	ND
45	7.2	11.5	10.6	89.5	6.8	ND	ND	ND	ND	ND
46	22.1	ND	10.4	62.3	4.1	ND	ND	ND	ND	ND
47	5.4	ND	7.7	9.6	4.8	ND	ND	ND	ND	ND
48	13.3	7.2	7.9	56.0	24.4	ND	ND	ND	ND	ND
49	9.3	ND	6.1	63.7	2.4	ND	ND	ND	ND	ND
50	9.4	ND	7.0	23.7	4.0	ND	ND	ND	ND	ND
51	8.4	6.6	21.5	87.3	9.9	ND	ND	ND	ND	ND
52	8.7	8.8	9.9	63.0	3.9	ND	ND	ND	ND	ND
53	ND	ND	ND	39.9	4.9	ND	ND	ND	1.8	ND
54	ND	ND	ND	25.4	1.7	ND	ND	ND	ND	ND
55	ND	ND	ND	ND	101.6	ND	ND	ND	ND	ND
56	17.3	49.1	30.8	91.7	11.6	ND	ND	ND	ND	ND
57	31.6	ND	15.9	15.0	6.8	ND	ND	ND	ND	ND
58	5.5	1087.6	ND	18.3	3.7	ND	ND	ND	ND	ND
59	7.1	ND	5.6	24.6	4.2	ND	ND	ND	ND	ND
60	10.7	ND	6.4	23.4	8.5	ND	ND	ND	ND	ND

), ArticleFig(id=1322945331788390936, tenantId=1146029695717560320, journalId=1283840372199657495, articleId=1322945324561605069, language=CN, label=表 4, caption=

60名志愿者尿液中10种PAEs代谢物的检出含量

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Sample	Contents/（ng/mL）
	MMP	MEP	MiBP	MnBP	MEOHP	MBzP	MCHP	MPP	cx-MINCH	MnOP
1	14.3	7.6	9.7	28.5	6.2	ND	ND	ND	ND	ND
2	ND	32.0	ND	8.8	60.0	ND	ND	ND	ND	ND
3	ND	ND	ND	25.1	3.2	ND	ND	ND	ND	ND
4	9.4	ND	8.0	48.8	4.2	ND	ND	ND	ND	ND
5	10.7	7.7	14.7	95.5	7.5	ND	ND	ND	ND	ND
6	9.9	16.7	7.8	36.4	1.5	ND	ND	ND	ND	ND
7	14.8	ND	16.3	53.9	6.3	ND	ND	ND	ND	ND
8	5.7	455.9	6.7	34.6	51.7	ND	ND	ND	94.8	ND
9	7.7	44.7	ND	12.1	4.6	ND	ND	ND	ND	ND
10	88.7	8.1	5.5	22.8	5.5	ND	ND	ND	ND	ND
11	ND	48.3	ND	11.9	1.5	ND	ND	ND	ND	ND
12	5.3	101.8	ND	31.7	39.1	ND	ND	ND	208.3	ND
13	10.7	11.7	10.7	95.8	5.5	ND	ND	ND	ND	ND
14	12.4	ND	9.6	49.5	6.2	ND	ND	ND	ND	ND
15	ND	ND	ND	8.6	6.9	ND	ND	ND	ND	ND
16	ND	ND	ND	17.9	3.7	ND	ND	ND	ND	ND
17	10.1	14.2	16.2	55.6	5.9	ND	ND	ND	ND	ND
18	8.8	ND	ND	11.8	1.3	ND	ND	ND	1.5	ND
19	8.6	6.6	ND	7.5	1.9	ND	ND	ND	ND	ND
20	12.3	5.3	8.9	55.9	5.5	ND	ND	ND	ND	ND
21	5.6	69.1	7.4	24.3	3.2	ND	ND	ND	ND	ND
22	9.3	ND	5.5	13.1	2.0	ND	ND	ND	ND	ND
23	10.0	ND	5.4	25.3	6.1	ND	ND	ND	ND	ND
24	ND	133.6	ND	17.3	1.7	ND	ND	ND	ND	ND
25	7.9	ND	12.8	26.8	6.1	ND	ND	ND	ND	ND
26	ND	ND	8.0	27.8	6.7	ND	ND	ND	ND	ND
27	14.1	ND	ND	20.8	6.1	ND	ND	ND	ND	ND
28	ND	1371.1	ND	12.9	3.0	ND	ND	ND	ND	ND
29	ND	ND	ND	22.6	4.1	ND	ND	ND	ND	ND
30	ND	ND	ND	ND	23.7	ND	ND	ND	ND	ND
31	5.9	ND	7.5	27.3	6.2	ND	ND	ND	ND	ND
32	ND	8.9	ND	64.1	3.9	ND	ND	ND	ND	ND
33	9.0	162.4	ND	30.4	3.7	ND	ND	ND	ND	ND
34	8.9	22.2	ND	36.6	3.4	ND	ND	ND	ND	ND
35	7.5	ND	ND	24.6	2.6	ND	ND	ND	ND	ND
36	ND	ND	ND	21.6	3.2	ND	ND	ND	ND	ND
37	5.5	392.4	11.6	39.2	12.8	ND	ND	ND	ND	ND
38	12.8	7.1	180.5	71.2	12.7	ND	ND	ND	ND	ND
39	9.6	ND	11.8	79.7	5.0	ND	ND	ND	ND	ND
40	9.8	ND	7.6	27.5	36.3	ND	ND	ND	ND	ND
41	5.3	ND	ND	22.0	4.0	ND	ND	ND	ND	ND
42	11.9	13.8	7.3	23.7	11.6	ND	ND	ND	ND	ND
43	5.0	ND	7.1	7.5	4.2	ND	ND	ND	ND	ND
44	9.5	ND	7.5	25.9	3.7	ND	ND	ND	ND	ND
45	7.2	11.5	10.6	89.5	6.8	ND	ND	ND	ND	ND
46	22.1	ND	10.4	62.3	4.1	ND	ND	ND	ND	ND
47	5.4	ND	7.7	9.6	4.8	ND	ND	ND	ND	ND
48	13.3	7.2	7.9	56.0	24.4	ND	ND	ND	ND	ND
49	9.3	ND	6.1	63.7	2.4	ND	ND	ND	ND	ND
50	9.4	ND	7.0	23.7	4.0	ND	ND	ND	ND	ND
51	8.4	6.6	21.5	87.3	9.9	ND	ND	ND	ND	ND
52	8.7	8.8	9.9	63.0	3.9	ND	ND	ND	ND	ND
53	ND	ND	ND	39.9	4.9	ND	ND	ND	1.8	ND
54	ND	ND	ND	25.4	1.7	ND	ND	ND	ND	ND
55	ND	ND	ND	ND	101.6	ND	ND	ND	ND	ND
56	17.3	49.1	30.8	91.7	11.6	ND	ND	ND	ND	ND
57	31.6	ND	15.9	15.0	6.8	ND	ND	ND	ND	ND
58	5.5	1087.6	ND	18.3	3.7	ND	ND	ND	ND	ND
59	7.1	ND	5.6	24.6	4.2	ND	ND	ND	ND	ND
60	10.7	ND	6.4	23.4	8.5	ND	ND	ND	ND	ND

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