Immunoassays based on inductively coupled plasma mass spectrometry detection: So far so good, so what?
| Autor: | Guillermo Grindlay, Juan Mora, Daniel Torregrosa, Luis Gras |
|---|---|
| Přispěvatelé: | Universidad de Alicante. Departamento de Química Analítica, Nutrición y Bromatología, Espectrometría Atómica Analítica (GEAA) |
| Rok vydání: | 2021 |
| Předmět: |
Bioanalysis
Large dynamic range 02 engineering and technology Mass spectrometry 01 natural sciences Analytical Chemistry Organic molecules medicine Element tags Inductively coupled plasma mass spectrometry Spectroscopy Immunoassay Chromatography medicine.diagnostic_test Chemistry 010401 analytical chemistry 021001 nanoscience & nanotechnology humanities 0104 chemical sciences Química Analítica Inductively coupled plasma 0210 nano-technology |
| Zdroj: | RUA. Repositorio Institucional de la Universidad de Alicante Universidad de Alicante (UA) |
| ISSN: | 0026-265X |
| DOI: | 10.1016/j.microc.2021.106200 |
| Popis: | Inductively coupled plasma mass spectrometry (ICP-MS) has been traditionally employed in life sciences for total element content and speciation studies. Nonetheless, using element-tagged antibodies, ICP-MS also serves as a detector for immunoassays thus allowing the determination of organic molecules (i.e. proteins, biomarkers, toxins, etc.) and cells. When compared to conventional immunoassay detection approaches (e.g. fluorescence, UV/VIS absorbance, etc.), ICP-MS offers several unique and attractive features such as: (i) high sensitivity and selectivity; (ii) multiplexed capabilities; (iii) large dynamic range; and (iv) robustness for the analysis of both liquid and solid samples. However, despite the above-mentioned features, immunoassays based on ICP-MS detection are mostly unknown among scientists in life sciences and not real breakthrough has yet produced for routine clinical applications. This work reviews the most recent developments and applications of immunoassays based on ICP-MS detection over the last years, emphasising current challenges and future trends of this promising analytical tool. The authors would like to thank the Generalitat Valenciana (Project GV/2014/138) and the Vice-Presidency for Research and Knowledge Transfer of the University of Alicante for the financial support of this work (Projects GRE12-19 and VIGROB-050). D. Torregrosa thanks the Spanish Ministerio de Ciencia, Innovación y Universidades for the given fellowship FPU17/02853. |
| Databáze: | OpenAIRE |
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