ReviewAnalytical and bioanalytical chemistry2024
Label-free detection of biomolecules using inductively coupled plasma mass spectrometry (ICP-MS).
Review in Analytical and bioanalytical chemistry, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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3 citing papers in PubMed, 22 citations in OpenAlex.
- Novel methods for the detection of glutathione by surface-enhanced Raman scattering: A perspective review.Heliyon · 2025Review
- The Optimal Dietary Sodium or Chloride Level of Broilers Fed a Corn-Soybean Meal Diet from 22 to 42 Days of Age.Animals : an open access journal from MDPI · 2024Article
- The optimal dietary sodium and chloride level for broiler chicks fed a corn-soybean meal diet between 1 and 21 d of age.Journal of animal science · 2024Article
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Authors and funding
3 authors at 2 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Bioassays using inductively coupled plasma mass spectrometry (ICP-MS) have gained increasing attention because of the high sensitivity of ICP-MS and the various strategies of labeling biomolecules with detectable metal tags. The classic strategy to tag the target biomolecules is through direct antibody-antigen interaction and DNA hybridization, and requires the separation of the bound from the unbound tags. Label-free ICP-MS techniques for biomolecular assays do not require direct labeling: they generate detectable metal ions indirectly from specific biomolecular reactions, such as enzymatic cleavage. Here, we highlight the development of three main strategies of label-free ICP-MS assays for biomolecules: (1) enzymatic cleavage of metal-labeled substrates, (2) release of immobilized metal ions from the DNA backbone, and (3) nucleic acid amplification-assisted aggregation and release of metal tags to achieve amplified detection. We briefly describe the fundamental basis of these label-free ICP-MS assays and discuss the benefits and drawbacks of various designs. Future research is needed to reduce non-specific adsorption and minimize background and interference. Analytical innovations are also required to confront challenges faced by in vivo applications.
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