Article(id=1314917577197970093, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917454552327005, articleNumber=null, orderNo=null, doi=null, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1763568000000, receivedDateStr=2025-11-20, revisedDate=null, revisedDateStr=null, acceptedDate=null, acceptedDateStr=null, onlineDate=1791430380391, onlineDateStr=2026-10-08, pubDate=1752940800000, pubDateStr=2025-07-20, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1791430380391, onlineIssueDateStr=2026-10-08, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1791430380391, creator=13701087609, updateTime=1791430380391, updator=13701087609, issue=Issue{id=1314917454552327005, tenantId=1146029695717560320, journalId=1234093305789726721, year='2025', volume='45', issue='7', pageStart='3553', pageEnd='4144', issueExtLink='null', onlineDate='null', pubDate='1752940800000', pubDateStr='2025-07-20', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1791430351150, creator='13701087609', updateTime=1791431931754, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1314924084186669335, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917454552327005, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1314924084186669336, tenantId=1146029695717560320, journalId=1234093305789726721, issueId=1314917454552327005, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=4012, endPage=4020, ext={EN=ArticleExt(id=1314917577432851118, articleId=1314917577197970093, tenantId=1146029695717560320, journalId=1234093305789726721, language=EN, title=Determination of microplastics in fish by gas chromatography/mass spectrometry and infrared spectroscopy, columnId=1234106388687934088, journalTitle=China Environmental Science, columnName=Environmental Toxicology and Environmental Health, runingTitle=null, highlight=null, articleAbstract=
To address the limitations of conventional spectroscopic techniques in microplastic detection and comprehensively assess microplastic occurrence in wild marine fish, this study developed a pyrolysis-thermal desorption-gas chromatography/mass spectrometry (Py-TD-GC/MS) method. This approach demonstrated excellent recovery rates (>90%) for microplastic extraction and quantification. On this basis, this method was used to quantify the mass concentrations of PP, PE, PS and PVC (0.22~500μm) in the gastrointestinal tract of wild barracuda and bass in Bohai Bay. Results revealed that the concentration of small and medium-sized microplastics (0.22~20μm) in the gastrointestinal tract of barracuda ((64.71 ± 80.47) μg/g) was significantly lower than that of bass ((371.30 ± 401.53)μg/g) (P<0.05), while the concentration of large-sized microplastics (20~500μm) ((150.33±116.58) μg/g) was slightly higher than that in bass ((107±96.49) μg/g) (P>0.05). Additionally, the concentrations of PE and PVC were significantly higher than those of PS and PP. Subsequently, the laser infrared imaging system (LDIR) was used to quantify the abundance of microplastics (20~500μm) in the gastrointestinal tract of wild barracuda and bass in the Bohai Bay. It was found that the detected microplastics were mainly 20~50μm in size, primarily fragment-shaped, and mainly composed of 11polymers such as PE and PVC. The average abundance of PP, PE, PS and PVC in the gastrointestinal tract of barracuda ((38.21±19.95) items/g) was slightly higher than that of bass ((34.75±26.33) items/g) (P>0.05). The mass concentration distribution of microplastics in the four materials was generally consistent with the particle abundance distribution. The polymer hazard index was used to evaluate the potential ecological hazards of microplastics in the gastrointestinal tract of bass and barracuda, and it was found that the presence of PVC microplastics led to a higher potential hazard index. Py-TD-GC/MS can detect microplastics with smaller particle sizes in organisms, and the combination of Py-TD-GC/MS and infrared spectroscopy can fully reveal the characteristics of microplastic pollution in wild fish.
, authors=Ying YANG
1, 2, Yu-xuan WU
2, 3, Wei PAN
2, Zi-ye ZHANG
2, Li-hui AN
2, Jun-min GAO
1, *, authorsList=Ying YANG, Yu-xuan WU, Wei PAN, Zi-ye ZHANG, Li-hui AN, Jun-min GAO, authorCompany=null, correspAuthors=Jun-min GAO, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, 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=1314917577789366959, articleId=1314917577197970093, tenantId=1146029695717560320, journalId=1234093305789726721, language=CN, title=气相色谱/质谱和红外光谱测定鱼体内微塑料, columnId=1234106394006311784, journalTitle=中国环境科学, columnName=环境毒理与健康, runingTitle=null, highlight=null, articleAbstract=
为弥补现有光谱技术在检测微塑料方面的不足,全面了解野生海水鱼体内的微塑料赋存水平,本研究建立了热裂解-热脱附-气相色谱/质谱法(Py-TD-GC/MS),该方法在微塑料提取和量化方面具有优良的回收率(>90%),在此基础上,利用该方法定量渤海湾野生梭鱼和鲈鱼胃肠道中PP、PE、PS和PVC 4种微塑料(0.22~500μm)的质量浓度.结果发现,梭鱼胃肠道中小粒径微塑料(0.22~20μm)浓度((64.71±80.47)μg/g)明显低于鲈鱼((371.30±401.53)μg/g)(P<0.05),而大粒径微塑料(20~500μm)浓度((150.33±116.58)μg/g)略高于鲈鱼((107±96.49)μg/g)(P>0.05),且PE和PVC浓度均明显高于PS和PP;接着使用激光红外成像系统(LDIR)定量渤海湾野生梭鱼和鲈鱼胃肠道中微塑料(20~500μm)丰度水平,发现检测到的微塑料粒径以20~50μm为主、形态以碎片为主、材质以PE和PVC等11种聚合物为主,并且梭鱼胃肠道中PP、PE、PS和PVC 4种微塑料的平均丰度((38.21±19.95)个/g)略高于鲈鱼((34.75±26.33)个/g)(P>0.05),4种材质微塑料质量浓度分布与颗粒丰度分布总体上一致.利用聚合物危害指数评估鲈鱼和梭鱼胃肠道中赋存微塑料的潜在生态危害,发现由于PVC微塑料的存在导致了较高的潜在危害指数.Py-TD-GC/MS能够检测生物体内更小粒径微塑料,Py-TD-GC/MS和红外光谱技术联用可全面揭示野生鱼类体内的微塑料污染特征.
, authors=杨颖
1, 2, 吴玉暄
2, 3, 潘巍
2, 张子晔
2, 安立会
2, 高俊敏
1, *, authorsList=杨颖, 吴玉暄, 潘巍, 张子晔, 安立会, 高俊敏, authorCompany=null, correspAuthors=高俊敏, authorNote=
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1, 2, address=
1.Key Laboratory of the Three Gorges Reservoir Region's Eco-Environment, Ministry of Education, Chongqing University, Chongqing 400045, China
2.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314917580335309504, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, authorId=1314917580108817084, language=CN, stringName=杨颖, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
1, 2, address=
1.重庆大学,三峡库区生态环境教育部重点实验室,重庆 400045
2.中国环境科学研究院,环境基准与风险评估国家重点实验室,北京 100012, bio={"content":"
杨颖(2000-),女,贵州省盘州市人,硕士,主要从事环境微塑料行为与风险评估研究.发表论文4篇.yangying00214@163.com.
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杨颖(2000-),女,贵州省盘州市人,硕士,主要从事环境微塑料行为与风险评估研究.发表论文4篇.yangying00214@163.com.
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2, 3, address=
2.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China
3.College of Life Sciences, Hebei University, Baoding 071002, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314917580658270918, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, authorId=1314917580435972802, language=CN, stringName=吴玉暄, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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2.中国环境科学研究院,环境基准与风险评估国家重点实验室,北京 100012
3.河北大学生命科学学院,河北 保定 071002, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1314917578363986611, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, xref=2., ext=[AuthorCompanyExt(id=1314917578372375220, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, companyId=1314917578363986611, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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2.中国环境科学研究院,环境基准与风险评估国家重点实验室,北京 100012)]), AuthorCompany(id=1314917578460455606, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, xref=3., ext=[AuthorCompanyExt(id=1314917578468844215, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, companyId=1314917578460455606, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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3.河北大学生命科学学院,河北 保定 071002)])]), Author(id=1314917580729574088, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, orderNo=2, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=null, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1314917580851208907, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, authorId=1314917580729574088, language=EN, stringName=Wei PAN, firstName=Wei, middleName=null, lastName=PAN, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
2, address=
2.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314917580914123469, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, authorId=1314917580729574088, language=CN, stringName=潘巍, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
2, address=
2.中国环境科学研究院,环境基准与风险评估国家重点实验室,北京 100012, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1314917578363986611, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, xref=2., ext=[AuthorCompanyExt(id=1314917578372375220, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, companyId=1314917578363986611, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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2, address=
2.中国环境科学研究院,环境基准与风险评估国家重点实验室,北京 100012, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1314917578363986611, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, xref=2., ext=[AuthorCompanyExt(id=1314917578372375220, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, companyId=1314917578363986611, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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2.State Key Laboratory of Environmental Criteria and Risk Assessment, Chinese Research Academy of Environmental Sciences, Beijing 100012, China, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null), CN=AuthorExt(id=1314917581799121624, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, authorId=1314917581442605781, language=CN, stringName=安立会, firstName=null, middleName=null, lastName=null, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
2, address=
2.中国环境科学研究院,环境基准与风险评估国家重点实验室,北京 100012, bio=null, bioImg=null, bioContent=null, aboutCorrespAuthor=null)}, companyList=[AuthorCompany(id=1314917578363986611, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, xref=2., ext=[AuthorCompanyExt(id=1314917578372375220, tenantId=1146029695717560320, journalId=1234093305789726721, articleId=1314917577197970093, companyId=1314917578363986611, language=EN, country=null, province=null, city=null, postcode=null, companyName=null, departmentName=null, remark=
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