Article(id=1301137699197448576, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1301137643908128824, articleNumber=null, orderNo=null, doi=10.3981/j.issn.1000-7857.2025.12.00047, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=research-article, receivedDate=1765209600000, receivedDateStr=2025-12-09, revisedDate=1768147200000, revisedDateStr=2026-01-12, acceptedDate=null, acceptedDateStr=null, onlineDate=1788145001458, onlineDateStr=2026-08-31, pubDate=1786550400000, pubDateStr=2026-08-13, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1788145001458, onlineIssueDateStr=2026-08-31, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1788145001458, creator=13701087609, updateTime=1788145001458, updator=13701087609, issue=Issue{id=1301137643908128824, tenantId=1146029695717560320, journalId=1146031591421210625, year='2026', volume='44', issue='15', pageStart='1', pageEnd='164', issueExtLink='null', onlineDate='null', pubDate='1786550400000', pubDateStr='2026-08-13', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=1, specialIssue=null, createTime=1788144988276, creator='13701087609', updateTime=1788145858754, updator='13701087609', preIssue=null, nextIssue=null, articleTotal=null, ext={EN=IssueExt(id=1301141295053959998, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1301137643908128824, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1301141295053959999, tenantId=1146029695717560320, journalId=1146031591421210625, issueId=1301137643908128824, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null, downloadFileDto=null}, startPage=93, endPage=102, ext={EN=ArticleExt(id=1301137699419746689, articleId=1301137699197448576, tenantId=1146029695717560320, journalId=1146031591421210625, language=EN, title=Research progress on the heteroaggregation of microplastics and algae in aquatic environments, columnId=1150494642224591153, journalTitle=Science & Technology Review, columnName=Exclusive, runingTitle=null, highlight=null, articleAbstract=
Microplastics, as a new pollutant widely present in global aquatic environments, have drawn significant attention for their potential ecological risks. Simultaneously, algae serve as vital primary producers in aquatic ecosystems and readily undergo heterogeneous aggregation with microplastics. This interaction alters the environmental behavior of microplastics, ultimately influencing their ecological effects. This paper provides a systematic review of the research progress on the heteroaggregation between microplastics and algae, focusing on experimental methods, formation mechanisms, migration behaviors, and key influencing factors. Existing studies mainly employ microscopic characterization techniques and theoretical modeling to elucidate the structural features and formation processes of aggregates. The heteroaggregation between microplastics and algae is a dynamic process jointly driven by physical adsorption, chemical bonding, and biological secretion. The formation of aggregates changes the density, surface properties, and occurrence state of microplastics, consequently influencing their vertical sedimentation and horizontal transport in water bodies. The aggregation and migration behaviors of microplastics and algae is primarily influenced by microplastic characteristics, algal properties, and environmental factors. Future research should strengthen the coupled modeling of biological, physical, and chemical processes and develop in−situ, multi−scale observation techniques to deepen the understanding of microplastic–algae interaction mechanisms, thereby providing a scientific basis for risk assessment and ecological management of microplastic pollution in aquatic ecosystems.
, authors=Yufeng MAO
1, Jia LI
1, Dan LI
1, Qin ZHANG
1, De CHENG
1, Haotian SHANG
1, Geng LI
1, *, Shengfa YANG
1, *, Hong LI
2, authorsList=Yufeng MAO, Jia LI, Dan LI, Qin ZHANG, De CHENG, Haotian SHANG, Geng LI, Shengfa YANG, Hong LI, authorCompany=null, correspAuthors=Geng LI, Shengfa YANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=
All rights reserved. Unauthorized reproduction is prohibited., 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=1301137701642727813, articleId=1301137699197448576, tenantId=1146029695717560320, journalId=1146031591421210625, language=CN, title=水环境中微塑料和藻类的异质聚集研究进展, columnId=1150494642375586098, journalTitle=科技导报, columnName=特色专题, runingTitle=null, highlight=null, articleAbstract=
微塑料作为全球水环境中广泛存在的新污染物,其潜在的生态风险备受关注。同时,藻类是水生态系统重要的初级生产者,易与微塑料发生异质聚集,进而改变微塑料的环境行为,最终影响其生态效应。系统综述了微塑料—藻类异质聚集的研究方法、形成机制、迁移规律及其关键影响因素。现有研究主要基于微观表征技术和理论计算模型来揭示聚集体的结构特征和形成过程。微塑料与藻类的异质聚集是由物理吸附、化学键合与生物分泌共同驱动的动态过程,聚集体的形成改变了微塑料的密度、表面性质及赋存形态,进而影响微塑料在水体中的垂直沉降与水平迁移。微塑料和藻类的聚集迁移行为主要受微塑料属性、藻类特征及水环境因子的共同影响。未来研究应加强生物–物理–化学过程的耦合建模,发展原位多尺度观测技术,以深化对微塑料–藻类相互作用机制的理解,为水生态系统中微塑料污染的风险评估与生态管理提供科学依据。
, authors=毛羽丰
1, 李佳
1, 李旦
1, 张琴
1, 程德
1, 尚浩天
1, 李耕
1, *, 杨胜发
1, *, 李宏
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版权所有,未经授权,不得转载。, copyrightOwner=《科技导报》编辑部, extLink=null, articleAbsUrl=null, sourceXml=mjiU7ZKqYa2vts24dyGJoQ==, magXml=o1T9qwpzOq2osxftSprCPg==, pdfUrl=null, pdf=pxdM+Xwmxc59ERmcFiV1+A==, pdfFileSize=962020, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=+gTOdf597xO62Soif2JFaQ==, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=jfj/k7QoMc6ELlJoim/fhw==, mapNumber=null, fund=null)}, authors=[Author(id=1301137702389313933, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1301137699197448576, orderNo=0, firstName=null, middleName=null, lastName=null, nameCn=null, orcid=null, stid=null, country=null, authorPic=null, dead=0, email=maoyufeng@cqjtu.edu.cn, emailSecond=null, emailThird=null, correspondingAuthor=0, authorType=1, ext={EN=AuthorExt(id=1301137702456422799, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1301137699197448576, authorId=1301137702389313933, language=EN, stringName=Yufeng MAO, firstName=Yufeng, middleName=null, lastName=MAO, prefix=null, suffix=null, authorComment=null, nameInitials=null, affiliation=null, department=null, xref=
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| 技术 | 主要应用 | | 备注 | 参考文献 |
|---|
| 光学显微镜 | 对微米级以上聚集体进行形貌观察、初步识别和计数 | | 结合ImageJ等软件测量聚集体二维尺寸 | [10−11] |
| 荧光显微镜 | 利用荧光特性原位识别与区分聚集体中不同组分,并对其进行初步定位 | | 为CLSM的高分辨率三维成像提供目标区域定位 | [12−13] |
| 扫描电子显微镜(SEM) | 观察聚集体表面微观形貌、微生物附着状态及定植特征 | | 与XPS等技术联用,将物理形貌与表面化学特征关联 | [14−15,27] |
透射电子显微镜 (TEM) | 揭示聚集体内部超微结构及细胞损伤特征 | | 与SEM互补,共同构建从表面到内部的完整空间结构图像 | [15−16] |
激光扫描共聚焦显微镜 (CLSM) | 对聚集体中不同组分进行三维原位成像与空间定位 | | 与光谱技术联用,将特定组分的空间位置与其化学组成精确关联 | [15,17] |
原子力显微镜 (AFM) | 定量表征微塑料与藻类细胞/EPS之间的微观作用力及颗粒表面粗糙度 | | 与Zeta电位分析结合,基于微观作用力与界面电化学性质耦合视角阐释聚集动力学 | [7,19−20] |
傅里叶变换红外光谱 (FTIR) | 鉴定聚合物类型,分析相互作用过程中的官能团变化 | | 与显微镜联用(μ−FTIR)鉴别较小颗粒,实现精确空间定位与官能团协同分析 | [23,29] |
拉曼光谱 (Raman) | 提供更高空间分辨率的化学成像,对非极性基团敏感 | | 与显微镜联用(μ−Raman)进一步细化表征水环境中极小颗粒的形态和化学成分 | [24,26] |
X射线光电子能谱 (XPS) | 表面元素组成及化学态定量分析 | | 对SEM和FTIR结果进行定量补充,提供元素含量及官能团比例 | [27,30] |
| Zeta电位分析 | 测定颗粒表面电荷并分析静电相互作用特性 | | 为理论建模与模拟聚集行为提供关键参数 | [28] |
), ArticleFig(id=1301137707875463623, tenantId=1146029695717560320, journalId=1146031591421210625, articleId=1301137699197448576, language=CN, label=表1, caption=
微塑料和藻类异质聚集的微观表征技术
, figureFileSmall=null, figureFileBig=null, tableContent=
| 技术 | 主要应用 | | 备注 | 参考文献 |
|---|
| 光学显微镜 | 对微米级以上聚集体进行形貌观察、初步识别和计数 | | 结合ImageJ等软件测量聚集体二维尺寸 | [10−11] |
| 荧光显微镜 | 利用荧光特性原位识别与区分聚集体中不同组分,并对其进行初步定位 | | 为CLSM的高分辨率三维成像提供目标区域定位 | [12−13] |
| 扫描电子显微镜(SEM) | 观察聚集体表面微观形貌、微生物附着状态及定植特征 | | 与XPS等技术联用,将物理形貌与表面化学特征关联 | [14−15,27] |
透射电子显微镜 (TEM) | 揭示聚集体内部超微结构及细胞损伤特征 | | 与SEM互补,共同构建从表面到内部的完整空间结构图像 | [15−16] |
激光扫描共聚焦显微镜 (CLSM) | 对聚集体中不同组分进行三维原位成像与空间定位 | | 与光谱技术联用,将特定组分的空间位置与其化学组成精确关联 | [15,17] |
原子力显微镜 (AFM) | 定量表征微塑料与藻类细胞/EPS之间的微观作用力及颗粒表面粗糙度 | | 与Zeta电位分析结合,基于微观作用力与界面电化学性质耦合视角阐释聚集动力学 | [7,19−20] |
傅里叶变换红外光谱 (FTIR) | 鉴定聚合物类型,分析相互作用过程中的官能团变化 | | 与显微镜联用(μ−FTIR)鉴别较小颗粒,实现精确空间定位与官能团协同分析 | [23,29] |
拉曼光谱 (Raman) | 提供更高空间分辨率的化学成像,对非极性基团敏感 | | 与显微镜联用(μ−Raman)进一步细化表征水环境中极小颗粒的形态和化学成分 | [24,26] |
X射线光电子能谱 (XPS) | 表面元素组成及化学态定量分析 | | 对SEM和FTIR结果进行定量补充,提供元素含量及官能团比例 | [27,30] |
| Zeta电位分析 | 测定颗粒表面电荷并分析静电相互作用特性 | | 为理论建模与模拟聚集行为提供关键参数 | [28] |
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