Laser transparent multiplexed SERS microneedles for in situ and real-time detection of inflammation

被引:29
作者
Peng, Cheng [1 ]
Jin, Lili [2 ]
Wang, Feng [1 ]
Yang, Haifeng [1 ]
He, Hongyan [2 ]
机构
[1] Shanghai Normal Univ, Shanghai Frontiers Sci Ctr Biomimet Catalysis, Joint Int Res Lab Resource Chem, Shanghai Key Lab Rare Earth Funct Mat,Minist Educ,, Shanghai 200234, Peoples R China
[2] East China Univ Sci & Technol, Frontiers Sci Ctr Materiobiol & Dynam Chem, Minist Educ, Engn Res Ctr Biomed Mat, Shanghai 200237, Peoples R China
基金
中国国家自然科学基金;
关键词
Inflammation; Microneedles; pH; Reactive oxygen species level; Redox potential; Surface-enhanced Raman scattering; ENHANCED RAMAN-SPECTROSCOPY; DISEASE; PH; NANOPARTICLES; PERFORMANCE; SCATTERING; POINT;
D O I
10.1016/j.bios.2023.115079
中图分类号
Q6 [生物物理学];
学科分类号
071011 ;
摘要
It is a significant challenge to perform painless invasive detection of inflammation progression in relation to the evolution of pH, redox potential, and reactive oxygen species (ROS) levels in an in situ and real-time manner. In this work, polydopamine-modified, silver nanoparticle-decorated poly (methyl methacrylate) microneedles (AgNPs@PDA@MNs) have been developed as a multiplexed surface enhanced Raman scattering (SERS) diag-nostic platform. Using rhodamine 6G as the Raman signal molecule, the AgNPs@PDA@MNs demonstrated a significant enhancement with reasonable linearity in the range of 10-3-10-9 mol/L and the limit of detection is 1.0 x 10-10 mol/L 4-mercaptobenzoic acid, anthraquinone-2-carboxylic acid and para-aminothiophenol were covalently anchored on AgNPs@PDA@MNs SERS substrate. I1143/I1183, I1606/I1667 and I1143/I1077 were used as assay standards for pH, redox potential and ROS level detection, respectively. The SERS multiplexed transparent microneedles (SERS mtMNs) linearly responded to pH in the range of 4.0-8.0, redox potential in the range of 417.0-599.8 mV, and ROS levels in the range of 0-480 ng/mL, demonstrating a significant ability to detect complex inflammation in vivo, in situ and in real-time.
引用
收藏
页数:9
相关论文
共 50 条
[21]   High-Performance Real-Time SERS Detection with Recyclable Ag Nanorods@HfO2 Substrates [J].
Ma, Lingwei ;
Wu, Hui ;
Huang, Yu ;
Zou, Sumeng ;
Li, Jianghao ;
Zhang, Zhengjun .
ACS APPLIED MATERIALS & INTERFACES, 2016, 8 (40) :27162-27168
[22]   Gold nanostars for efficient in vitro and in vivo real-time SERS detection and drug delivery via plasmonic-tunable Raman/FTIR imaging [J].
Tian, Furong ;
Conde, Joao ;
Bao, Chenchen ;
Chen, Yunsheng ;
Curtin, James ;
Cui, Daxiang .
BIOMATERIALS, 2016, 106 :87-97
[23]   Real-time calibration of in situ measurements of target strength [J].
MacLennan, David N. .
ICES JOURNAL OF MARINE SCIENCE, 2011, 68 (03) :626-631
[24]   Nature-Inspired DNA Nanosensor for Real-Time in Situ Detection of mRNA in Living Cells [J].
Tay, Chor Yong ;
Yuan, Liang ;
Leong, David Tai .
ACS NANO, 2015, 9 (05) :5609-5617
[25]   Development of a Real-Time, In-Situ Particle Sizing Technique: Real-Time Light Transmission Spectroscopy (RTLTS) [J].
Yoon, Jaehyuk ;
Park, Sungsoo ;
Chun, Kwang Min ;
Song, Soonho .
AEROSOL SCIENCE AND TECHNOLOGY, 2013, 47 (10) :1092-1100
[26]   Reduced Graphene Oxide Nanohybrid-Assembled Microneedles as Mini-Invasive Electrodes for Real-Time Transdermal Biosensing [J].
Jin, Quanchang ;
Chen, Hui-Jiuan ;
Li, Xiangling ;
Huang, Xinshuo ;
Wu, Qianni ;
He, Gen ;
Hang, Tian ;
Yang, Chengduan ;
Jiang, Zhen ;
Li, Enlai ;
Zhang, Aihua ;
Lin, Zhihong ;
Liu, Fanmao ;
Xie, Xi .
SMALL, 2019, 15 (06)
[27]   Label-Free SERS Sensors for Real-Time Monitoring of Tyrosine Phosphorylation [J].
Geddis, Ailsa ;
Mendive-Tapia, Lorena ;
Sujantho, Audreylia ;
Liu, Erica ;
McAughtrie, Sarah ;
Goodwin, Richard ;
Vendrell, Marc ;
Campbell, Colin J. .
ANALYTICAL CHEMISTRY, 2024, 96 (45) :17978-17983
[28]   A Survey on Real-Time Object Detection on FPGAs [J].
Hozhabr, Seyed Hani ;
Giorgi, Roberto .
IEEE ACCESS, 2025, 13 :38195-38238
[29]   A Framework for Real-Time Spam Detection in Twitter [J].
Gupta, Himank ;
Jamal, Mohd. Saalim ;
Madisetty, Sreekanth ;
Desarkar, Maunendra Sankar .
2018 10TH INTERNATIONAL CONFERENCE ON COMMUNICATION SYSTEMS & NETWORKS (COMSNETS), 2018, :380-387
[30]   A new real-time tsunami detection algorithm [J].
Chierici, Francesco ;
Embriaco, Davide ;
Pignagnoli, Luca .
JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS, 2017, 122 (01) :636-652