Surface-enhanced Raman spectroscopy differences of saliva between lung cancer patients and normal people

2011 ◽  
Author(s):  
Xiaozhou Li ◽  
Tianyue Yang ◽  
Siqi Li ◽  
Ting Yu
Keyword(s):  
Lung Cancer ◽  
Raman Spectroscopy ◽  
Cancer Patients ◽  
Surface Enhanced Raman Spectroscopy ◽  
Lung Cancer Patients ◽  
Normal People ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

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.

Combination assay of lung cancer associated serum markers using surface-enhanced Raman spectroscopy

2016 ◽  
Vol 4 (10) ◽  
pp. 1811-1817 ◽  
Author(s):  
Chunyuan Song ◽  
Yanjun Yang ◽  
Boyue Yang ◽  
Linghua Min ◽  
Lianhui Wang
Keyword(s):  
Lung Cancer ◽  
Raman Spectroscopy ◽  
Human Serum ◽  
Surface Enhanced Raman Spectroscopy ◽  
Serum Markers ◽  
Highly Sensitive ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

A highly sensitive and specific SERS-based combination assay of lung cancer associated serum markers is reported, and the LODs of CEA and NSE in human serum specimens are 1.48 pg mL−1 and 2.04 pg mL−1, respectively.

scholarly journals Surface-Enhanced Raman Spectroscopy to Characterize Different Fractions of Extracellular Vesicles from Control and Prostate Cancer Patients

Biomedicines ◽  
2021 ◽  
Vol 9 (5) ◽  
pp. 580
Author(s):  
Eric Boateng Osei ◽  
Liliia Paniushkina ◽  
Konrad Wilhelm ◽  
Jürgen Popp ◽  
Irina Nazarenko ◽  
...  
Keyword(s):  
Prostate Cancer ◽  
Raman Spectroscopy ◽  
Cancer Patients ◽  
Extracellular Vesicles ◽  
Protein Secondary Structure ◽  
Surface Enhanced Raman Spectroscopy ◽  
Cancer Diagnostics ◽  
Label Free ◽  
Surface Enhanced ◽  
Surface Enhanced Raman

Extracellular vesicles (EVs) are membrane-enclosed structures ranging in size from about 60 to 800 nm that are released by the cells into the extracellular space; they have attracted interest as easily available biomarkers for cancer diagnostics. In this study, EVs from plasma of control and prostate cancer patients were fractionated by differential centrifugation at 5000× g, 12,000× g and 120,000× g. The remaining supernatants were purified by ultrafiltration to produce EV-depleted free-circulating (fc) fractions. Spontaneous Raman and surface-enhanced Raman spectroscopy (SERS) at 785 nm excitation using silver nanoparticles (AgNPs) were employed as label-free techniques to collect fingerprint spectra and identify the fractions that best discriminate between control and cancer patients. SERS spectra from 10 µL droplets showed an enhanced Raman signature of EV-enriched fractions that were much more intense for cancer patients than controls. The Raman spectra of dehydrated pellets of EV-enriched fractions without AgNPs were dominated by spectral contributions of proteins and showed variations in S-S stretch, tryptophan and protein secondary structure bands between control and cancer fractions. We conclude that the AgNPs-mediated SERS effect strongly enhances Raman bands in EV-enriched fractions, and the fractions, EV12 and EV120 provide the best separation of cancer and control patients by Raman and SERS spectra.

Highly stable surface-enhanced Raman spectroscopy assay on abnormal thrombin levels in the blood plasma of cancer patients

2021 ◽  
Vol 13 (37) ◽  
pp. 4328-4333
Author(s):  
Lingling Liao ◽  
Shanshan Du ◽  
Yan Ding ◽  
Mengke Su ◽  
Ting Yu ◽  
...  
Keyword(s):  
Raman Spectroscopy ◽  
Blood Plasma ◽  
Cancer Patients ◽  
False Positive ◽  
Surface Enhanced Raman Spectroscopy ◽  
Clinical Diagnostics ◽  
Dual Reporter ◽  
Surface Enhanced ◽  
Testing Tool ◽  
Surface Enhanced Raman

A double-aptamer sandwich strategy for dual-reporter SERS assay with reduced false-positive as practical protein testing tool in clinical diagnostics and prognosis.

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