• 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

利用 SERS 研究人血小板的光谱均一性。

Spectral homogeneity of human platelets investigated by SERS.

机构信息

REC «Fundamental and Applied Photonics, Nanophotonics», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.

REC «Clinical Trials Center», Immanuel Kant Baltic Federal University, Kaliningrad, Kaliningrad Region, Russia.

出版信息

PLoS One. 2022 May 11;17(5):e0265247. doi: 10.1371/journal.pone.0265247. eCollection 2022.

DOI:10.1371/journal.pone.0265247
PMID:35544536
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC9094501/
Abstract

This paper describes a detailed study of the spectral homogeneity of human platelets using Surface-enhanced Raman spectroscopy (SERS). We used a combined approach based on multivariate methods as principal component analysis and pair correlation algorithms to investigate platelets spectral properties. The correlation coefficients for each sample have been calculated, and the average coefficient of determination has been estimated. The high degree of spectral homogeneity inside one probe and between them has been revealed. The prospects of obtained results usage for pathologies based on platelet conformations during cardiovascular diseases have been demonstrated.

摘要

本文使用表面增强拉曼光谱(SERS)详细研究了人类血小板的光谱均一性。我们采用了一种基于多元方法的组合方法,如主成分分析和对关联算法,来研究血小板的光谱特性。计算了每个样本的相关系数,并估计了平均确定系数。揭示了一个探头内和探头之间的高度光谱均一性。展示了基于心血管疾病期间血小板构象的病理学中获得的结果的应用前景。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/dfc890c9702b/pone.0265247.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/013c0330c534/pone.0265247.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/93d05b6675ab/pone.0265247.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/6adb559599c8/pone.0265247.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/c3f7fc41ef87/pone.0265247.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/95836eb4b099/pone.0265247.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/551242bf8924/pone.0265247.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/422959352bd5/pone.0265247.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/dfc890c9702b/pone.0265247.g008.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/013c0330c534/pone.0265247.g001.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/93d05b6675ab/pone.0265247.g002.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/6adb559599c8/pone.0265247.g003.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/c3f7fc41ef87/pone.0265247.g004.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/95836eb4b099/pone.0265247.g005.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/551242bf8924/pone.0265247.g006.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/422959352bd5/pone.0265247.g007.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/10aa/9094501/dfc890c9702b/pone.0265247.g008.jpg

相似文献

1
Spectral homogeneity of human platelets investigated by SERS.利用 SERS 研究人血小板的光谱均一性。
PLoS One. 2022 May 11;17(5):e0265247. doi: 10.1371/journal.pone.0265247. eCollection 2022.
2
Raman spectroscopy and surface-enhanced Raman spectroscopy (SERS) spectra of salivary glands carcinoma, tumor and healthy tissues and their homogenates analyzed by chemometry: Towards development of the novel tool for clinical diagnosis.唾液腺癌、肿瘤和正常组织及其匀浆的拉曼光谱和表面增强拉曼光谱(SERS)的化学计量学分析:为临床诊断新工具的开发。
Anal Chim Acta. 2021 Sep 8;1177:338784. doi: 10.1016/j.aca.2021.338784. Epub 2021 Jun 18.
3
[Raman micro-spectroscopy of single blood platelets].[单个血小板的拉曼显微光谱分析]
Guang Pu Xue Yu Guang Pu Fen Xi. 2007 Jul;27(7):1347-50.
4
Surface-enhanced Raman spectroscopy before radical prostatectomy predicts biochemical recurrence better than CAPRA-S.根治性前列腺切除术前表面增强拉曼光谱预测比 CAPRA-S 更好的生化复发。
Int J Nanomedicine. 2019 Jan 9;14:431-440. doi: 10.2147/IJN.S186226. eCollection 2019.
5
Surface-enhanced Raman spectroscopy for comparison of serum samples of typhoid and tuberculosis patients of different stages.表面增强拉曼光谱法比较不同阶段伤寒和结核患者的血清样本。
Photodiagnosis Photodyn Ther. 2021 Sep;35:102426. doi: 10.1016/j.pdpdt.2021.102426. Epub 2021 Jul 1.
6
Comparison of surface enhanced Raman spectroscopy and Raman spectroscopy for the detection of breast cancer based on serum samples.基于血清样本的表面增强拉曼光谱与拉曼光谱在乳腺癌检测中的比较。
Spectrochim Acta A Mol Biomol Spectrosc. 2021 Feb 5;246:119034. doi: 10.1016/j.saa.2020.119034. Epub 2020 Oct 5.
7
Gastric cancer detection based on blood plasma surface-enhanced Raman spectroscopy excited by polarized laser light.基于偏振激光激发的血桨表面增强拉曼光谱的胃癌检测。
Biosens Bioelectron. 2011 Mar 15;26(7):3167-74. doi: 10.1016/j.bios.2010.12.020. Epub 2010 Dec 17.
8
Review on SERS of Bacteria.细菌的 SERS 综述。
Biosensors (Basel). 2017 Nov 13;7(4):51. doi: 10.3390/bios7040051.
9
Surface-enhanced Raman spectroscopy (SERS) for monitoring colistin-resistant and susceptible E. coli strains.表面增强拉曼光谱(SERS)用于监测耐粘菌素和敏感型大肠杆菌菌株。
Spectrochim Acta A Mol Biomol Spectrosc. 2022 Oct 5;278:121315. doi: 10.1016/j.saa.2022.121315. Epub 2022 May 3.
10
Diagnostic potential of polarized surface enhanced Raman spectroscopy technology for colorectal cancer detection.偏振表面增强拉曼光谱技术在结直肠癌检测中的诊断潜力
Opt Express. 2016 Feb 8;24(3):2222-34. doi: 10.1364/OE.24.002222.

引用本文的文献

1
Raman spectra simulation of antiplatelet drug-platelet interaction using DFT.使用 DFT 对抗血小板药物-血小板相互作用的拉曼光谱进行模拟。
Sci Rep. 2024 Jan 16;14(1):1445. doi: 10.1038/s41598-024-51605-7.
2
FDTD Simulations for Rhodium and Platinum Nanoparticles for UV Plasmonics.用于紫外等离子体的铑和铂纳米粒子的时域有限差分模拟
Nanomaterials (Basel). 2023 Feb 27;13(5):897. doi: 10.3390/nano13050897.

本文引用的文献

1
Numerical FDTD-based simulations and Raman experiments of femtosecond LIPSS.基于数值有限时域差分法的飞秒激光诱导周期性表面结构的模拟与拉曼实验。
Opt Express. 2021 Feb 1;29(3):4547-4558. doi: 10.1364/OE.413460.
2
Global Burden of Cardiovascular Diseases and Risk Factors, 1990-2019: Update From the GBD 2019 Study.全球心血管疾病负担及危险因素, 1990-2019:来自 GBD 2019 研究的更新。
J Am Coll Cardiol. 2020 Dec 22;76(25):2982-3021. doi: 10.1016/j.jacc.2020.11.010.
3
Dataset of human platelets in healthy and individuals with cardiovascular pathology obtained by surface-enhanced Raman spectroscopy.
通过表面增强拉曼光谱法获得的健康人和患有心血管疾病个体的人类血小板数据集。
Data Brief. 2020 Jan 15;29:105145. doi: 10.1016/j.dib.2020.105145. eCollection 2020 Apr.
4
Rapid, Label-free Optical Spectroscopy Platform for Diagnosis of Heparin-Induced Thrombocytopenia.快速、无标记的光学光谱平台,用于诊断肝素诱导的血小板减少症。
Angew Chem Int Ed Engl. 2020 Apr 6;59(15):5972-5978. doi: 10.1002/anie.201913970. Epub 2020 Feb 19.
5
SERS-based biosensor for Alzheimer disease evaluation through the fast analysis of human serum.基于表面增强拉曼光谱的生物传感器,用于通过快速分析人血清来评估阿尔茨海默病。
J Biophotonics. 2020 Mar;13(3):e201960033. doi: 10.1002/jbio.201960033. Epub 2020 Jan 1.
6
Platelet heterogeneity in activation-induced glycoprotein shedding: functional effects.血小板在激活诱导的糖蛋白脱落中的异质性:功能影响。
Blood Adv. 2018 Sep 25;2(18):2320-2331. doi: 10.1182/bloodadvances.2017011544.
7
Monitoring Antiplatelet Therapy.监测抗血小板治疗
Semin Thromb Hemost. 2017 Apr;43(3):311-319. doi: 10.1055/s-0036-1597298. Epub 2017 Mar 6.
8
Multivariate data analysis in pharmaceutics: a tutorial review.药剂学中的多元数据分析:教程综述。
Int J Pharm. 2011 Sep 30;417(1-2):280-90. doi: 10.1016/j.ijpharm.2011.02.019. Epub 2011 Feb 16.
9
Disease recognition by infrared and Raman spectroscopy.通过红外光谱和拉曼光谱进行疾病识别。
J Biophotonics. 2009 Feb;2(1-2):13-28. doi: 10.1002/jbio.200810024.
10
Mechanisms of thrombus formation.血栓形成的机制。
N Engl J Med. 2008 Aug 28;359(9):938-49. doi: 10.1056/NEJMra0801082.