Back to Search
Start Over
Detection of circulating tumor cells in blood by shell-isolated nanoparticle – enhanced Raman spectroscopy (SHINERS) in microfluidic device
- Source :
- Scientific Reports, Vol 9, Iss 1, Pp 1-14 (2019), Scientific Reports
- Publication Year :
- 2019
- Publisher :
- Springer Science and Business Media LLC, 2019.
-
Abstract
- Isolation and detection of circulating tumor cells (CTCs) from human blood plays an important role in non- invasive screening of cancer evolution and in predictive therapeutic treatment. Here, we present the novel tool utilizing: (i) the microfluidic device with (ii) incorporated photovoltaic (PV) based SERS-active platform, and (iii) shell-isolated nanoparticles (SHINs) for simultaneous separation and label-free analysis of circulating tumour cells CTCs in the blood specimens with high specificity and sensitivity. The proposed microfluidic chip enables the efficient size – based inertial separation of circulating cancer cells from the whole blood samples. The SERS-active platform incorporated into the microfluidic device permits the label-free detection and identification of isolated cells through the insight into their molecular and biochemical structure. Additionally, the silver nanoparticles coated with an ultrathin shell of silica (Ag@SiO2) was used to improve the detection accuracy and sensitivity of analysed tumor cells via taking advantages of shell-isolated nanoparticle-enhanced Raman spectroscopy (SHINERS). The empirical analysis of SHINERS spectra revealed that there are some differences among studied (HeLa), renal cell carcinoma (Caki-1), and blood cells. Unique SHINERS features and differences in bands intensities between healthy and cancer cells might be associated with the variations in the quantity and quality of molecules such as lipid, protein, and DNA or their structure during the metastasis cancer formation. To demonstrate the statistical efficiency of the developed method and improve the differentiation for circulating tumors cells detection the principal component analysis (PCA) has been performed for all SHINERS data. PCA method has been applied to recognize the most significant differences in SHINERS data among the three analyzed cells: Caki-1, HeLa, and blood cells. The proposed approach challenges the current multi-steps CTCs detection methods in the terms of simplicity, sensitivity, invasiveness, destructivity, time and cost of analysis, and also prevents the defragmentation/damage of tumor cells and thus leads to improving the accuracy of analysis. The results of this research work show the potential of developed SERS based tool for the separation of tumor cells from whole blood samples in a simple and minimally invasive manner, their detection and molecular characterization using one single technology.
- Subjects :
- 0301 basic medicine
Silver
Microfluidics
Metal Nanoparticles
lcsh:Medicine
Cell Separation
Spectrum Analysis, Raman
Article
Silver nanoparticle
Metastasis
Cancer screening
HeLa
03 medical and health sciences
0302 clinical medicine
Circulating tumor cell
Nanoscience and technology
Lab-On-A-Chip Devices
Neoplasms
Tumor Cells, Cultured
medicine
Humans
lcsh:Science
Whole blood
Multidisciplinary
biology
Chemistry
lcsh:R
Cancer
Neoplastic Cells, Circulating
biology.organism_classification
medicine.disease
030104 developmental biology
Cancer cell
Biophysics
lcsh:Q
Gold
030217 neurology & neurosurgery
Subjects
Details
- ISSN :
- 20452322
- Volume :
- 9
- Database :
- OpenAIRE
- Journal :
- Scientific Reports
- Accession number :
- edsair.doi.dedup.....190a286cf280f94a785215f2597288b1