ArticleBiomedical optics express2017
Leukemia cells detection based on electroporation assisted surface-enhanced Raman scattering.
Article in Biomedical optics express, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 9 papers.
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Who cites it
9 citing papers in PubMed.
- Combined SERS and chemometric analyses of blood plasma and bone marrow towards pediatric leukemia biomarkers detection.Mikrochimica acta · 2026Article
- Raman Spectroscopy as a Research and Diagnostic Tool in Clinical Hematology and Hematooncology.International journal of molecular sciences · 2024Review
- Development and application of nanomaterials, nanotechnology and nanomedicine for treating hematological malignancies.Journal of hematology & oncology · 2023Review
- Current and Emerging Techniques for Diagnosis and MRD Detection in AML: A Comprehensive Narrative Review.Cancers · 2023Review
- SERS-Based Evaluation of the DNA Methylation Pattern Associated With Progression in Clonal Leukemogenesis of Down Syndrome.Frontiers in bioengineering and biotechnology · 2021Article
- Rapid and label-free urine test based on surface-enhanced Raman spectroscopy for the non-invasive detection of colorectal cancer at different stages.Biomedical optics express · 2020Article
- Surface-enhanced Raman spectroscopy analysis of mast cell degranulation induced by low-intensity laser.IET nanobiotechnology · 2019Article
- Label-free detection of hydrogen peroxide-induced oxidative stress in human retinal pigment epithelium cells via laser tweezers Raman spectroscopy.Biomedical optics express · 2019Article
- Label-free detection of nasopharyngeal and liver cancer using surface-enhanced Raman spectroscopy and partial lease squares combined with support vector machine.Biomedical optics express · 2018Article
Corrections and comments
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Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
In this study, an electroporation-based surface-enhanced Raman scattering (SERS) technique was employed to differentiate the human myeloid leukemia cells from the normal human bone marrow mononuclear cells with the aim to develop a fast and label-free method for leukemia cell screening. The Ag nanoparticles were delivered into living cells by electroporation, and then high quality SERS spectra were successfully obtained from 60 acute promyelocytic leukemia cells (HL60 cell line), 60 chronic myelogenous leukemia cells (K562 cell line) and 60 normal human bone marrow mononuclear cells (BMC). Principal component analysis (PCA) combined with linear discriminant analysis (LDA) differentiated the leukemia cell SERS spectra (HL60 plus K562) from normal cell SERS spectra (BMC) with high sensitivity (98.3%) and specificity (98.3%). Furthermore, partial least squares (PLS) approach was employed to develop a diagnostic model. The model successfully predicted the unidentified subjects with a diagnostic accuracy of 96.7%. This exploratory work demonstrates that the electroporation-based SERS technique combined with PCA-LDA and PLS diagnostic algorithms possesses great promise for cancer cell screening.
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Registered trials
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