Simultaneous Surface-Enhanced Raman Spectroscopy (SERS) and Atomic Force Microscopy (AFM) for Label-Free Physicochemical Analysis of Lipid Bilayers

2011 ◽  
Vol 65 (12) ◽  
pp. 1387-1392 ◽  
Author(s):  
Claire S. Sweetenham ◽  
Marta Larraona-Puy ◽  
Ioan Notingher
Keyword(s):  
Raman Spectroscopy ◽  
Atomic Force Microscopy ◽  
Lipid Bilayers ◽  
Surface Enhanced Raman Spectroscopy ◽  
Physicochemical Analysis ◽  
Label Free ◽  
Force Microscopy ◽  
Atomic Force ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

scholarly journals Raman spectroscopy methods for detecting and imaging supported lipid bilayers

2010 ◽  
Vol 24 (1-2) ◽  
pp. 113-117 ◽  
Author(s):  
Claire S. Sweetenham ◽  
Ioan Notingher
Keyword(s):  
Raman Spectroscopy ◽  
Lipid Bilayers ◽  
Surface Enhanced Raman Spectroscopy ◽  
Raman Microspectroscopy ◽  
Supported Lipid Bilayers ◽  
Chemical Information ◽  
Spatial Features ◽  
Atomic Force ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

We have developed a Raman microspectroscopy system optimised for studying supported lipid bilayers (SLB). This system combines the benefits of Raman spectroscopy with the high spatial resolution of confocal microscopy. Furthermore, the additional incorporation of an atomic force microscope (AFM) makes it possible to directly correlate chemical information with spatial features of samples at the nanoscale. We focus on the limits of this system for detecting a single SLB and imaging its microdomains, and employ surface-enhanced Raman spectroscopy (SERS) to improve the sensitivity achieved with Raman microspectroscopy.

scholarly journals Label-Free Detection of Human Serum Using Surface-Enhanced Raman Spectroscopy Based on Highly Branched Gold Nanoparticle Substrates for Discrimination of Non-Small Cell Lung Cancer

2018 ◽  
Vol 2018 ◽  
pp. 1-13
Author(s):  
Xiaowei Cao ◽  
Zhenyu Wang ◽  
Liyan Bi ◽  
Jie Zheng
Keyword(s):  
Lung Cancer ◽  
Raman Spectroscopy ◽  
Cell Lung Cancer ◽  
Surface Enhanced Raman Spectroscopy ◽  
Small Cell ◽  
Label Free ◽  
Small Cell Lung ◽  
Surface Enhanced ◽  
Different Types ◽  
Surface Enhanced Raman

Surface-enhanced Raman spectroscopy (SERS) is a good candidate for the development of fast and easy-to-use diagnostic tools, possibly used on serum in screening tests. In this study, a potential label-free serum test based on SERS spectroscopy was developed to analyze human serum for the diagnosis of the non-small cell lung cancer (NSCLC). We firstly synthesized novel highly branched gold nanoparticles (HGNPs) at high yield through a one-step reduction of HAuCl4 with dopamine hydrochloride at 60°C. Then, HGNP substrates with good reproducibility, uniformity, and high SERS effect were fabricated by the electrostatically assisted (3-aminopropyl) triethoxysilane-(APTES-) functionalized silicon wafer surface-sedimentary self-assembly method. Using as-prepared HGNP substrates as a high-performance sensing platform, SERS spectral data of serum obtained from healthy subjects, lung adenocarcinoma patients, lung squamous carcinoma patients, and large cell lung cancer patients were collected. The difference spectra among different types of NSCLC were compared, and analysis result revealed their intrinsic difference in types and contents of nucleic acids, proteins, carbohydrates, amino acids, and lipids. SERS spectra were analyzed by principal component analysis (PCA), which was able to distinguish different types of NSCLC. Considering its time efficiency, being label-free, and sensitivity, SERS based on HGNP substrates is very promising for mass screening NSCLC and plays an important role in the detection and prevention of other diseases.

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