Nitrogen-Doped Titanium Dioxide Nanoparticles Modified by An Electron Beam for Improving Human Breast Cancer Detection by Raman Spectroscopy : A Preliminary Study

Titanium dioxide (TiO2) is commonly used as a pigment in paints, paper products, polymer compositions, and cosmetic products, and even as a food additive or drug coating material. In recent times, it has also been used in photovoltaic cells, semiconductors, biomedical devices, and air purification. In this paper, the potential application of nitrogen-doped TiO2 nanoparticles modified by an electron beam for improving human breast cancer detection by Raman spectroscopy is presented. Raman spectroscopy (RS) is a promising noninvasive analytical technique in cancer detection that enables us to retrieve a molecular signature of the biochemical composition of cancerous tissue. However, RS still has some challenges in signal detection, mainly related to strong concurrent background fluorescence from the analyzed tissue. The Raman signal scattering is several orders of magnitude smaller than the fluorescence intensity, and strong fluorescence masks a much weaker Raman signal. The Raman results demonstrate that the N-doped TiO2 electron beam-irradiated nanoparticles amplify the Raman scattering. The intrinsic properties of the adsorbed molecules from human breast tissue and the surface properties of the N-doped TiO2 electron beam-irradiated nanoparticles (the excited electron-hole pair at the surface) have a significant effect on the enhanced Raman signal intensity.

Medienart:

E-Artikel

Erscheinungsjahr:

2020

Erschienen:

2020

Enthalten in:

Zur Gesamtaufnahme - volume:10

Enthalten in:

Diagnostics (Basel, Switzerland) - 10(2020), 10 vom: 26. Sept.

Sprache:

Englisch

Beteiligte Personen:

Surmacki, Jakub [VerfasserIn]

Links:

Volltext

Themen:

Electron beam irradiation
Human breast cancer
Journal Article
Nitrogen-doped titanium dioxide
Raman spectroscopy

Anmerkungen:

Date Revised 03.11.2020

published: Electronic

Citation Status PubMed-not-MEDLINE

doi:

10.3390/diagnostics10100757

funding:

Förderinstitution / Projekttitel:

PPN (Katalog-ID):

NLM315637730