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Magnetic Particles for Advanced Molecular Diagnosis
- Source :
- Materials, Vol 12, Iss 13, p 2158 (2019), Materials
- Publication Year :
- 2019
- Publisher :
- MDPI AG, 2019.
-
Abstract
- Molecular diagnosis is the field that aims to develop nucleic-acid-based analytical methods for biological markers and gene expression assessments by combining laboratory medicine and molecular genetics. As it gradually becomes a clinical reality, molecular diagnosis could benefit from improvements resulting from thorough studies that could enhance the accuracy of these methods. The application of magnetic particles in molecular diagnosis tools has led to tremendous breakthroughs in terms of specificity, sensitivity, and discrimination in bioassays. Therefore, the aim of this review is to highlight the principles involved in the implementation of magnetic particles for sample preparation and targeted analyte isolation, purification, and extraction. Furthermore, the most recent advancements in the area of cancer and infectious disease diagnosis are presented, with an emphasis on screening and early stage detection.
- Subjects :
- Analyte
Computer science
infectious disease
Medical laboratory
Review
02 engineering and technology
Computational biology
lcsh:Technology
01 natural sciences
molecular diagnostics
Infectious disease diagnosis
cancer
General Materials Science
lcsh:Microscopy
lcsh:QC120-168.85
magnetic particles
lcsh:QH201-278.5
lcsh:T
business.industry
010401 analytical chemistry
021001 nanoscience & nanotechnology
Molecular diagnostics
Clinical reality
0104 chemical sciences
lcsh:TA1-2040
Infectious disease (medical specialty)
molecular genetics
gene expression
Magnetic nanoparticles
lcsh:Descriptive and experimental mechanics
lcsh:Electrical engineering. Electronics. Nuclear engineering
lcsh:Engineering (General). Civil engineering (General)
0210 nano-technology
business
lcsh:TK1-9971
biological markers
Subjects
Details
- ISSN :
- 19961944
- Volume :
- 12
- Database :
- OpenAIRE
- Journal :
- Materials
- Accession number :
- edsair.doi.dedup.....11544b78aefc9074d0510fdde33fdae7
- Full Text :
- https://doi.org/10.3390/ma12132158