• 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

相似文献

1
Utility of Raman Spectroscopy in Pulmonary Medicine.拉曼光谱技术在肺部医学中的应用。
Adv Respir Med. 2024 Oct 18;92(5):421-428. doi: 10.3390/arm92050038.
2
Sputum and salivary protein biomarkers and point-of-care biosensors for the management of COPD.用于 COPD 管理的痰液和唾液蛋白生物标志物及即时检测生物传感器。
Analyst. 2020 Mar 2;145(5):1583-1604. doi: 10.1039/c9an01704f.
3
Discriminant analysis of Raman spectra for body fluid identification for forensic purposes.用于法医目的的体液鉴别拉曼光谱的判别分析。
Sensors (Basel). 2010;10(4):2869-84. doi: 10.3390/s100402869. Epub 2010 Mar 29.
4
Raman spectroscopy assisted tear analysis: A label free, optical approach for noninvasive disease diagnostics.拉曼光谱辅助泪液分析:一种用于非侵入性疾病诊断的无标记、光学方法。
Exp Eye Res. 2024 Jun;243:109913. doi: 10.1016/j.exer.2024.109913. Epub 2024 Apr 26.
5
Raman Spectroscopy: An Emerging Tool in Neurodegenerative Disease Research and Diagnosis.拉曼光谱学:神经退行性疾病研究与诊断的新兴工具。
ACS Chem Neurosci. 2018 Mar 21;9(3):404-420. doi: 10.1021/acschemneuro.7b00413. Epub 2018 Feb 6.
6
Spectral effects and enhancement quantification in healthy human saliva with surface-enhanced Raman spectroscopy using silver nanopillar substrates.使用银纳米柱基底的表面增强拉曼光谱法对健康人唾液进行光谱效应及增强定量分析。
Lasers Surg Med. 2024 Feb;56(2):206-217. doi: 10.1002/lsm.23746. Epub 2023 Dec 10.
7
New method of lung cancer detection by saliva test using surface-enhanced Raman spectroscopy.唾液检测表面增强拉曼光谱法检测肺癌的新方法。
Thorac Cancer. 2018 Nov;9(11):1556-1561. doi: 10.1111/1759-7714.12837. Epub 2018 Aug 31.
8
Vibrational Spectroscopy Saliva Profiling as Biometric Tool for Disease Diagnostics: A Systematic Literature.振动光谱唾液分析作为疾病诊断的生物识别工具:系统文献综述。
Molecules. 2020 Sep 10;25(18):4142. doi: 10.3390/molecules25184142.
9
Forensic body fluid identification: the Raman spectroscopic signature of saliva.法医体液鉴别:唾液的拉曼光谱特征。
Analyst. 2010 Mar;135(3):512-7. doi: 10.1039/b919393f. Epub 2009 Dec 15.
10
Sex Determination Based on Raman Spectroscopy of Saliva Traces for Forensic Purposes.基于唾液痕迹拉曼光谱的法医性别鉴定。
Anal Chem. 2016 Dec 20;88(24):12489-12493. doi: 10.1021/acs.analchem.6b03988. Epub 2016 Dec 6.

本文引用的文献

1
Raman-Based Techniques in Medical Applications for Diagnostic Tasks: A Review.基于拉曼的技术在医学诊断任务中的应用:综述。
Int J Mol Sci. 2023 Oct 26;24(21):15605. doi: 10.3390/ijms242115605.
2
Highly Sensitive Flexible SERS-Based Sensing Platform for Detection of COVID-19.基于高灵敏度柔性 SERS 的 COVID-19 检测传感平台。
Biosensors (Basel). 2022 Jun 28;12(7):466. doi: 10.3390/bios12070466.
3
Raman spectroscopy and multivariate analysis as potential tool to follow Alzheimer's disease progression.拉曼光谱和多元分析作为潜在工具来跟踪阿尔茨海默病的进展。
Anal Bioanal Chem. 2022 Jul;414(16):4667-4675. doi: 10.1007/s00216-022-04087-3. Epub 2022 May 19.
4
The accuracy of Raman spectroscopy in the diagnosis of lung cancer: a systematic review and meta-analysis.拉曼光谱在肺癌诊断中的准确性:一项系统评价与荟萃分析
Transl Cancer Res. 2021 Aug;10(8):3680-3693. doi: 10.21037/tcr-21-515.
5
Saliva as a non-invasive specimen for COPD assessment.唾液作为 COPD 评估的非侵入性标本。
Respir Res. 2022 Jan 29;23(1):16. doi: 10.1186/s12931-022-01935-9.
6
Diagnosing COVID-19 in human serum using Raman spectroscopy.使用拉曼光谱技术诊断人血清中的 COVID-19。
Lasers Med Sci. 2022 Jun;37(4):2217-2226. doi: 10.1007/s10103-021-03488-7. Epub 2022 Jan 14.
7
SERS Based Lateral Flow Immunoassay for Point-of-Care Detection of SARS-CoV-2 in Clinical Samples.基于 SERS 的侧向流免疫分析用于临床样本中 SARS-CoV-2 的即时检测。
ACS Appl Bio Mater. 2021 Apr 19;4(4):2974-2995. doi: 10.1021/acsabm.1c00102. Epub 2021 Mar 17.
8
Identification of the Raman Salivary Fingerprint of Parkinson's Disease Through the Spectroscopic- Computational Combinatory Approach.通过光谱-计算组合方法鉴定帕金森病的拉曼唾液指纹图谱。
Front Neurosci. 2021 Oct 26;15:704963. doi: 10.3389/fnins.2021.704963. eCollection 2021.
9
A narrative review of exploring potential salivary biomarkers in respiratory diseases: still on its way.探索呼吸系统疾病潜在唾液生物标志物的叙述性综述:仍在进行中。
J Thorac Dis. 2021 Jul;13(7):4541-4553. doi: 10.21037/jtd-21-202.
10
Characterization of the COPD Salivary Fingerprint through Surface Enhanced Raman Spectroscopy: A Pilot Study.通过表面增强拉曼光谱法对慢性阻塞性肺疾病唾液指纹图谱的表征:一项初步研究。
Diagnostics (Basel). 2021 Mar 12;11(3):508. doi: 10.3390/diagnostics11030508.

拉曼光谱技术在肺部医学中的应用。

Utility of Raman Spectroscopy in Pulmonary Medicine.

机构信息

Department of Internal Medicine, Faculty of Medicine, Riga Stradiņš University, LV1007 Riga, Latvia.

Clinical Centre "Gaiļezers", Riga East University Hospital, LV1038 Riga, Latvia.

出版信息

Adv Respir Med. 2024 Oct 18;92(5):421-428. doi: 10.3390/arm92050038.

DOI:10.3390/arm92050038
PMID:39452060
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11505626/
Abstract

The Raman effect, or as per its original description, "modified scattering", is an observation that the number of scattered light waves shifts after photons make nonelastic contact with a molecule. This effect allows Raman spectroscopy to be very useful in various fields. Although it is well known that Raman spectroscopy could be very beneficial in medicine as a diagnostic tool, there are not many applications of Raman spectroscopy in pulmonary medicine. Mostly tumor tissue, sputum and saliva have been used as material for analysis in respiratory medicine. Raman spectroscopy has shown promising results in malignancy recognition and even tumor staging. Saliva is a biological fluid that could be used as a reliable biomarker of the physiological state of the human body, and is easily acquired. Saliva analysis using Raman spectroscopy has the potential to be a relatively inexpensive and quick tool that could be used for diagnostic, screening and phenotyping purposes. Chronic obstructive pulmonary disease (COPD) is a growing cause of disability and death, and its phenotyping using saliva analysis via Raman spectroscopy has a great potential to be a dependable tool to, among other things, help reduce hospitalizations and disease burden. Although existing methods are effective and generally available, Raman spectroscopy has the benefit of being quick and noninvasive, potentially reducing healthcare costs and workload.

摘要

拉曼效应,或者按照其最初的描述,“修饰散射”,是指光子与分子发生非弹性接触后,散射光的数量发生变化的一种观察结果。这种效应使得拉曼光谱在各个领域都非常有用。尽管众所周知,拉曼光谱作为一种诊断工具在医学上非常有益,但在肺部医学中并没有太多拉曼光谱的应用。在呼吸医学中,主要使用肿瘤组织、痰液和唾液作为分析材料。拉曼光谱在恶性肿瘤识别甚至肿瘤分期方面显示出了有前景的结果。唾液是一种生物液体,可作为人体生理状态的可靠生物标志物,且易于获取。使用拉曼光谱进行唾液分析有可能成为一种相对廉价且快速的工具,可用于诊断、筛查和表型分析等目的。慢性阻塞性肺疾病(COPD)是导致残疾和死亡的一个日益严重的原因,通过拉曼光谱对唾液进行分析来对其进行表型分析,有可能成为一种可靠的工具,除其他外,有助于减少住院和疾病负担。虽然现有的方法是有效的且普遍可用的,但拉曼光谱具有快速和非侵入性的优点,有可能降低医疗保健成本和工作量。