• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

通过振动光谱分析环境中的微塑料:傅里叶变换红外光谱、拉曼光谱还是两者兼用?

Analysis of environmental microplastics by vibrational microspectroscopy: FTIR, Raman or both?

作者信息

Käppler Andrea, Fischer Dieter, Oberbeckmann Sonja, Schernewski Gerald, Labrenz Matthias, Eichhorn Klaus-Jochen, Voit Brigitte

机构信息

Leibniz-Institut für Polymerforschung Dresden e.V., Hohe Str. 6, 01069, Dresden, Germany.

Organische Chemie der Polymere, Technische Universität Dresden, Hohe Str. 6, 01062, Dresden, Germany.

出版信息

Anal Bioanal Chem. 2016 Nov;408(29):8377-8391. doi: 10.1007/s00216-016-9956-3. Epub 2016 Oct 8.

DOI:10.1007/s00216-016-9956-3
PMID:27722940
Abstract

The contamination of aquatic ecosystems with microplastics has recently been reported through many studies, and negative impacts on the aquatic biota have been described. For the chemical identification of microplastics, mainly Fourier transform infrared (FTIR) and Raman spectroscopy are used. But up to now, a critical comparison and validation of both spectroscopic methods with respect to microplastics analysis is missing. To close this knowledge gap, we investigated environmental samples by both Raman and FTIR spectroscopy. Firstly, particles and fibres >500 μm extracted from beach sediment samples were analysed by Raman and FTIR microspectroscopic single measurements. Our results illustrate that both methods are in principle suitable to identify microplastics from the environment. However, in some cases, especially for coloured particles, a combination of both spectroscopic methods is necessary for a complete and reliable characterisation of the chemical composition. Secondly, a marine sample containing particles <400 μm was investigated by Raman imaging and FTIR transmission imaging. The results were compared regarding number, size and type of detectable microplastics as well as spectra quality, measurement time and handling. We show that FTIR imaging leads to significant underestimation (about 35 %) of microplastics compared to Raman imaging, especially in the size range <20 μm. However, the measurement time of Raman imaging is considerably higher compared to FTIR imaging. In summary, we propose a further size division within the smaller microplastics fraction into 500-50 μm (rapid and reliable analysis by FTIR imaging) and into 50-1 μm (detailed and more time-consuming analysis by Raman imaging). Graphical Abstract Marine microplastic sample (fraction <400 μm) on a silicon filter (middle) with the corresponding Raman and IR images.

摘要

近期诸多研究报道了微塑料对水生生态系统的污染,并描述了其对水生生物群的负面影响。对于微塑料的化学鉴定,主要使用傅里叶变换红外光谱(FTIR)和拉曼光谱。但截至目前,针对微塑料分析的这两种光谱方法缺乏关键的比较和验证。为填补这一知识空白,我们同时采用拉曼光谱和FTIR光谱对环境样本进行了研究。首先,对从海滩沉积物样本中提取的粒径大于500μm的颗粒和纤维进行了拉曼光谱和FTIR显微光谱单测量分析。我们的结果表明,这两种方法原则上都适用于识别环境中的微塑料。然而,在某些情况下,特别是对于有色颗粒,需要结合使用这两种光谱方法才能对化学成分进行完整可靠的表征。其次,通过拉曼成像和FTIR透射成像对一个含有粒径小于400μm颗粒的海洋样本进行了研究。比较了两种方法在可检测微塑料的数量、尺寸和类型以及光谱质量、测量时间和操作方面的结果。我们发现,与拉曼成像相比,FTIR成像导致微塑料的显著低估(约35%),尤其是在粒径小于20μm的范围内。然而,拉曼成像的测量时间相比FTIR成像要长得多。总之,我们建议将较小微塑料部分进一步细分为500 - 50μm(通过FTIR成像进行快速可靠分析)和50 - 1μm(通过拉曼成像进行详细且耗时更长的分析)。图形摘要 硅滤膜上的海洋微塑料样本(粒径小于400μm部分)(中间)以及相应的拉曼图像和红外图像

相似文献

1
Analysis of environmental microplastics by vibrational microspectroscopy: FTIR, Raman or both?通过振动光谱分析环境中的微塑料:傅里叶变换红外光谱、拉曼光谱还是两者兼用?
Anal Bioanal Chem. 2016 Nov;408(29):8377-8391. doi: 10.1007/s00216-016-9956-3. Epub 2016 Oct 8.
2
Identification of microplastics by FTIR and Raman microscopy: a novel silicon filter substrate opens the important spectral range below 1300 cm(-1) for FTIR transmission measurements.通过傅里叶变换红外光谱(FTIR)和拉曼显微镜鉴定微塑料:一种新型硅滤光片基板为FTIR透射测量打开了1300 cm⁻¹以下的重要光谱范围。
Anal Bioanal Chem. 2015 Sep;407(22):6791-801. doi: 10.1007/s00216-015-8850-8. Epub 2015 Jun 28.
3
Comparison of Raman and Fourier Transform Infrared Spectroscopy for the Quantification of Microplastics in the Aquatic Environment.拉曼和傅里叶变换红外光谱法在水生环境中微塑料定量分析中的比较。
Environ Sci Technol. 2018 Nov 20;52(22):13279-13288. doi: 10.1021/acs.est.8b03438. Epub 2018 Nov 6.
4
Analysis of microplastics of a broad size range in commercially important mussels by combining FTIR and Raman spectroscopy approaches.采用傅里叶变换红外光谱和拉曼光谱联用技术分析商业上重要贻贝中宽范围粒径的微塑料。
Environ Pollut. 2021 Jan 15;269:116147. doi: 10.1016/j.envpol.2020.116147. Epub 2020 Nov 24.
5
Automated analysis of microplastics based on vibrational spectroscopy: are we measuring the same metrics?基于振动光谱的微塑料自动分析:我们测量的是相同指标吗?
Anal Bioanal Chem. 2022 May;414(11):3359-3372. doi: 10.1007/s00216-022-03951-6. Epub 2022 Feb 15.
6
A comparison of spectroscopic analysis methods for microplastics: Manual, semi-automated, and automated Fourier transform infrared and Raman techniques.微塑料光谱分析方法比较:手动、半自动和自动傅里叶变换红外和拉曼技术。
Mar Pollut Bull. 2021 Dec;173(Pt B):113101. doi: 10.1016/j.marpolbul.2021.113101. Epub 2021 Nov 4.
7
Microplastics in Singapore's coastal mangrove ecosystems.新加坡沿海红树林生态系统中的微塑料。
Mar Pollut Bull. 2014 Feb 15;79(1-2):278-83. doi: 10.1016/j.marpolbul.2013.11.025. Epub 2013 Dec 21.
8
First evidence of microplastic contamination in the freshwater of Lake Guaíba, Porto Alegre, Brazil.巴西阿雷格里港瓜伊巴湖淡水微塑料污染的首例证据。
Sci Total Environ. 2021 Mar 10;759:143503. doi: 10.1016/j.scitotenv.2020.143503. Epub 2020 Nov 11.
9
Visualization and characterisation of microplastics in aquatic environment using a home-built micro-Raman spectroscopic set up.利用自行搭建的显微拉曼光谱装置对水生环境中的微塑料进行可视化和表征。
J Environ Manage. 2024 Mar;354:120351. doi: 10.1016/j.jenvman.2024.120351. Epub 2024 Feb 20.
10
Microplastics Detection in Streaming Tap Water with Raman Spectroscopy.利用拉曼光谱法检测自来水中的微塑料
Sensors (Basel). 2019 Apr 18;19(8):1839. doi: 10.3390/s19081839.

引用本文的文献

1
Detection of Unlabeled Polystyrene Micro- and Nanoplastics in Mammalian Tissue by Optical Photothermal Infrared Spectroscopy.利用光热红外光谱法检测哺乳动物组织中未标记的聚苯乙烯微塑料和纳米塑料
Anal Chem. 2025 Aug 12;97(31):16714-16722. doi: 10.1021/acs.analchem.4c05400. Epub 2025 Aug 1.
2
Particle size-dependent quantitative and qualitative differences of common microplastic detection procedures: Nile Red-assisted fluorescence microscopy and confocal micro-Raman spectroscopy.常见微塑料检测程序中粒径相关的定量和定性差异:尼罗红辅助荧光显微镜和共聚焦显微拉曼光谱法。
Environ Monit Assess. 2025 Jul 21;197(8):934. doi: 10.1007/s10661-025-14317-7.
3
Combining Submicron Spectroscopy Techniques (AFM-IR and O-PTIR) To Detect and Quantify Microplastics and Nanoplastics in Snow from a Utah Ski Resort.
结合亚微米光谱技术(原子力显微镜红外光谱和光热红外光谱)检测和量化犹他州滑雪胜地雪中的微塑料和纳米塑料。
Environ Sci Technol. 2025 Jul 8;59(26):13362-13373. doi: 10.1021/acs.est.4c12170. Epub 2025 Jun 26.
4
Detection of Polystyrene Microplastics up to the Single Nanoparticle Limit Using SERS and Advanced ANN Design (KANformer).使用表面增强拉曼光谱(SERS)和先进的人工神经网络设计(KANformer)检测直至单个纳米颗粒极限的聚苯乙烯微塑料。
ACS Sens. 2025 Jul 25;10(7):4983-4995. doi: 10.1021/acssensors.5c00846. Epub 2025 Jun 25.
5
Fast Detection and Classification of Microplastics by a Wide-Field Fourier Transform Raman Microscope.利用宽场傅里叶变换拉曼显微镜快速检测和分类微塑料
Environ Sci Technol. 2025 May 13;59(18):9255-9264. doi: 10.1021/acs.est.5c00165. Epub 2025 Apr 29.
6
Novel calibration approach for particle size analysis of microplastics by laser ablation single particle-ICP-MS.激光烧蚀单颗粒电感耦合等离子体质谱法分析微塑料粒径的新型校准方法
J Anal At Spectrom. 2025 Jan 27;40(3):753-761. doi: 10.1039/d4ja00351a. eCollection 2025 Mar 5.
7
Evaluation of Ceramic Membrane Filtration for Alternatives to Microplastics in Cosmetic Formulations Using FlowCam Analysis.使用FlowCam分析评估陶瓷膜过滤法作为化妆品配方中微塑料替代品的效果。
Membranes (Basel). 2025 Jan 19;15(1):35. doi: 10.3390/membranes15010035.
8
Raman and ATR-FTIR unmask crystallinity changes and carboxylate group and vinyl group accumulation in natural weathering polypropylene microplastics.拉曼光谱和衰减全反射傅里叶变换红外光谱揭示了天然老化聚丙烯微塑料的结晶度变化以及羧基和乙烯基的积累。
Sci Rep. 2025 Jan 20;15(1):2518. doi: 10.1038/s41598-025-85837-y.
9
Enhancing Confidence in Microplastic Spectral Identification via Conformal Prediction.通过共形预测增强对微塑料光谱识别的信心。
Environ Sci Technol. 2024 Dec 10;58(49):21740-21749. doi: 10.1021/acs.est.4c05167. Epub 2024 Nov 26.
10
Microplastic distribution and risk assessment in estuarine systems influenced by traditional villages and artisanal fishery activities.受传统村落和手工渔业活动影响的河口系统中的微塑料分布和风险评估。
Sci Rep. 2024 Nov 23;14(1):29044. doi: 10.1038/s41598-024-80468-1.