scholarly journals Surface-Enhanced Raman Spectroscopy Analysis of Human Breast Cancer via Silver Nanoparticles: An Examination of Fabrication Methods

2018 ◽  
Vol 2018 ◽  
pp. 1-8 ◽  
Author(s):  
Beata Brozek-Pluska ◽  
Monika Kopec ◽  
Jakub Surmacki

Breast cancer in a traditional way is diagnosed using mammography, computer tomography, ultrasounds, biopsy, and finally, histopathological analysis. Histopathological analysis is a gold standard in breast cancer diagnostics; however, it is time consuming and prone to the human interpretations. That is why new methods based on optical properties of analyzed human tissue samples are needed to be introduced to the clinical practice objective, costless and fast diagnostic protocols. Nowadays, Raman spectroscopy-based methods are gaining more and more importance. Raman spectroscopy and imaging allow to characterize human tissue samples using an electromagnetic radiation from a safe range, and simultaneously, a minimal sample preparation is required. During measurements, a natural differentiation in tissues components’ scattering cross sections is used to build 2D and 3D maps of the chemical component distribution. The paper presents the application of SERS (surface-enhanced Raman spectroscopy) measurements for analysis of human breast cancer (adenocarcinoma). The advantages of SERS application in cancer diagnostics are also discussed. Moreover, the detailed chemical composition of human breast cancer tissue based on Raman bands of DNA/RNA, amino acids, lipids, and proteins which are significantly enhanced is presented. Three different methods of NP preparation are presented, and the effectiveness of Raman signal enhancement of Ag nanoparticles synthetized by these methods is compared. The enhancement effect of NPs synthetized by reduction of silver nitrate with sodium borohydride (method no. 1) and silver nitrate-hydroxylamine hydrochloride reduction (method no. 2) was stronger when compared with the polyol method (method no. 3). Presented SERS results confirmed that the clearly resolved and high-intensity Raman spectra of cancer human breast tissue can be recorded using integration times of the order of fractional seconds and one milliwatt of the excitation laser power.

2016 ◽  
Vol 31 (7) ◽  
pp. 1317-1324 ◽  
Author(s):  
Enrique Vargas-Obieta ◽  
Juan Carlos Martínez-Espinosa ◽  
Brenda Esmeralda Martínez-Zerega ◽  
Luis Felipe Jave-Suárez ◽  
Adriana Aguilar-Lemarroy ◽  
...  

Sensors ◽  
2020 ◽  
Vol 20 (24) ◽  
pp. 7153
Author(s):  
Anna Rita Bizzarri ◽  
Salvatore Cannistraro

The tumor suppressor p53 protein plays a crucial role in many biological processes. The presence of abnormal concentrations of wild-type p53, or some of its mutants, can be indicative of a pathological cancer state. p53 represents therefore a valuable biomarker for tumor screening approaches and development of suitable biosensors for its detection deserves a high interest in early diagnostics. Here, we revisit our experimental approaches, combining Surface Enhanced Raman Spectroscopy (SERS) and nanotechnological materials, for ultrasensitive detection of wild-type and mutated p53, in the perspective to develop biosensors to be used in clinical diagnostics. The Raman marker is provided by a small molecule (4-ATP) acting as a bridge between gold nanoparticles (NPs) and a protein biomolecule. The Azurin copper protein and specific antibodies of p53 were used as a capture element for p53 (wild-type and its mutants). The developed approaches allowed us to reach a detection level of p53 down to 10−17 M in both buffer and serum. The implementation of the method in a biosensor device, together with some possible developments are discussed.


Nano Research ◽  
2017 ◽  
Vol 10 (11) ◽  
pp. 3662-3670 ◽  
Author(s):  
Aida Hernández-Arteaga ◽  
José de Jesús Zermeño Nava ◽  
Eleazar Samuel Kolosovas-Machuca ◽  
J. Jesús Velázquez-Salazar ◽  
Ekaterina Vinogradova ◽  
...  

Small ◽  
2020 ◽  
Vol 16 (13) ◽  
pp. 1905614 ◽  
Author(s):  
Zhen Zhang ◽  
Jing Wang ◽  
Karthik Balaji Shanmugasundaram ◽  
Belinda Yeo ◽  
Andreas Möller ◽  
...  

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