• 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

无培养条件下的细菌拉曼光谱研究。

Cultivation-Free Raman Spectroscopic Investigations of Bacteria.

机构信息

Institute of Physical Chemistry and Abbe Center of Photonics, Friedrich Schiller University Jena, Helmholtzweg 4, 07743 Jena, Germany; InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena, Germany.

InfectoGnostics Research Campus Jena, Philosophenweg 7, 07743 Jena, Germany; Leibniz Institute of Photonic Technology, Albert-Einstein-Straße 9, 07745 Jena, Germany.

出版信息

Trends Microbiol. 2017 May;25(5):413-424. doi: 10.1016/j.tim.2017.01.002. Epub 2017 Feb 7.

DOI:10.1016/j.tim.2017.01.002
PMID:28188076
Abstract

Raman spectroscopy is currently advertised as a hot and ambitious technology that has all of the features needed to characterize and identify bacteria. Raman spectroscopy is rapid, easy to use, noninvasive, and it could complement established microbiological and biomolecular methods in the near future. To bring this vision closer to reality, ongoing research is being conducted on spectral fingerprinting. This can yield a wealth of information, from even single bacteria from various habitats which can be further improved by combining Raman spectroscopy with methods such as stable isotope probing to elucidate microbial interactions. In conjunction with extensive statistical analysis, Raman spectroscopy will allow identification of (non)pathogenic bacteria at different taxonomic levels.

摘要

拉曼光谱目前被宣传为一种热门且有前景的技术,它具有对细菌进行特征描述和识别的所有功能。拉曼光谱快速、易于使用、非侵入性,并且在不久的将来可能会补充现有的微生物学和生物分子方法。为了使这一愿景更加接近现实,目前正在进行光谱指纹识别的研究。即使是从各种生境中分离出来的单个细菌,也可以通过将拉曼光谱与稳定同位素探测等方法相结合,进一步揭示微生物的相互作用,从而获得丰富的信息。结合广泛的统计分析,拉曼光谱将允许在不同的分类学水平上识别(非)致病性细菌。

相似文献

1
Cultivation-Free Raman Spectroscopic Investigations of Bacteria.无培养条件下的细菌拉曼光谱研究。
Trends Microbiol. 2017 May;25(5):413-424. doi: 10.1016/j.tim.2017.01.002. Epub 2017 Feb 7.
2
Single cell stable isotope probing in microbiology using Raman microspectroscopy.利用拉曼微光谱技术进行微生物单细胞稳定同位素探测。
Curr Opin Biotechnol. 2016 Oct;41:34-42. doi: 10.1016/j.copbio.2016.04.018. Epub 2016 May 2.
3
Single-cell Raman sorting.单细胞拉曼分选
Methods Mol Biol. 2014;1096:147-53. doi: 10.1007/978-1-62703-712-9_12.
4
Stable Isotope-Labeled Single-Cell Raman Spectroscopy Revealing Function and Activity of Environmental Microbes.稳定同位素标记单细胞拉曼光谱揭示环境微生物的功能与活性
Methods Mol Biol. 2019;2046:95-107. doi: 10.1007/978-1-4939-9721-3_8.
5
Raman-FISH: combining stable-isotope Raman spectroscopy and fluorescence in situ hybridization for the single cell analysis of identity and function.拉曼荧光原位杂交技术:结合稳定同位素拉曼光谱和荧光原位杂交技术用于单细胞身份和功能分析。
Environ Microbiol. 2007 Aug;9(8):1878-89. doi: 10.1111/j.1462-2920.2007.01352.x.
6
Vibrational spectroscopy--a powerful tool for the rapid identification of microbial cells at the single-cell level.振动光谱法——一种在单细胞水平快速鉴定微生物细胞的强大工具。
Cytometry A. 2009 Feb;75(2):104-13. doi: 10.1002/cyto.a.20682.
7
Label-free Raman characterization of bacteria calls for standardized procedures.细菌的无标记拉曼表征需要标准化程序。
J Microbiol Methods. 2018 Aug;151:69-75. doi: 10.1016/j.mimet.2018.05.027. Epub 2018 Jun 14.
8
Surface-Enhanced Raman Spectroscopy Combined with Stable Isotope Probing to Monitor Nitrogen Assimilation at Both Bulk and Single-Cell Level.表面增强拉曼光谱结合稳定同位素探针监测整体和单细胞水平的氮同化。
Anal Chem. 2017 Jun 6;89(11):5793-5800. doi: 10.1021/acs.analchem.6b04913. Epub 2017 May 8.
9
Chemical fixation methods for Raman spectroscopy-based analysis of bacteria.用于基于拉曼光谱的细菌分析的化学固定方法。
J Microbiol Methods. 2015 Feb;109:79-83. doi: 10.1016/j.mimet.2014.12.008. Epub 2014 Dec 19.
10
Raman spectroscopic identification of single bacterial cells under antibiotic influence.抗生素影响下单个细菌细胞的拉曼光谱鉴定
Anal Bioanal Chem. 2014 May;406(13):3041-50. doi: 10.1007/s00216-014-7747-2. Epub 2014 Mar 21.

引用本文的文献

1
Computational field-resolved coherent chemical imaging.计算场分辨相干化学成像
Nat Commun. 2025 Aug 11;16(1):7406. doi: 10.1038/s41467-025-62716-8.
2
A Pilot Study on Single-Cell Raman Spectroscopy Combined with Machine Learning for Phenotypic Characterization of .单细胞拉曼光谱结合机器学习用于[具体对象]表型特征分析的初步研究。 需注意,原文中“of”后面内容缺失。
Microorganisms. 2025 Jun 8;13(6):1333. doi: 10.3390/microorganisms13061333.
3
Random splicing assisted deep learning for breast cancer cell line classification via Raman spectroscopy.
通过拉曼光谱的随机剪接辅助深度学习用于乳腺癌细胞系分类
Comput Struct Biotechnol J. 2025 May 30;27:2288-2297. doi: 10.1016/j.csbj.2025.05.051. eCollection 2025.
4
Leveraging the microbiome to combat antibiotic resistant gynecological infections.利用微生物群对抗抗生素耐药性妇科感染。
NPJ Antimicrob Resist. 2025 Apr 23;3(1):32. doi: 10.1038/s44259-025-00106-2.
5
Determination of protein transporter function using Raman spectroscopy.利用拉曼光谱法测定蛋白质转运体功能。
Microbiology (Reading). 2025 Feb;171(2). doi: 10.1099/mic.0.001526.
6
Unveiling the Molecular Secrets: A Comprehensive Review of Raman Spectroscopy in Biological Research.揭开分子奥秘:生物研究中拉曼光谱的全面综述
ACS Omega. 2024 Dec 3;9(51):50049-50063. doi: 10.1021/acsomega.4c00591. eCollection 2024 Dec 24.
7
Unveiling Microbial Diversity: Raman Spectroscopy's Discrimination of and Related Genera.揭示微生物多样性:拉曼光谱对 和相关属的区分。
Anal Chem. 2024 Oct 1;96(39):15702-15710. doi: 10.1021/acs.analchem.4c03280. Epub 2024 Sep 18.
8
Comparative study of machine-and deep-learning based classification algorithms for biomedical Raman spectroscopy (RS): case study of RS based pathogenic microbe identification.基于机器和深度学习的生物医学拉曼光谱 (RS) 分类算法的比较研究:基于 RS 的致病微生物识别的案例研究。
Anal Sci. 2024 Dec;40(12):2101-2109. doi: 10.1007/s44211-024-00645-0. Epub 2024 Aug 29.
9
Single-cell Raman and functional gene analyses reveal microbial P solubilization in agriculture waste-modified soils.单细胞拉曼光谱和功能基因分析揭示了农业废弃物改良土壤中微生物的磷溶解作用。
mLife. 2023 Jun 14;2(2):190-200. doi: 10.1002/mlf2.12053. eCollection 2023 Jun.
10
Illuminating the Tiny World: A Navigation Guide for Proper Raman Studies on Microorganisms.照亮微观世界:微生物拉曼研究的导航指南。
Molecules. 2024 Feb 29;29(5):1077. doi: 10.3390/molecules29051077.