ArticleAnalytical and bioanalytical chemistry2022
Stoichiometric approach to quantitative analysis of biomolecules: the case of nucleic acids.
Article in Analytical and bioanalytical chemistry, 2022. 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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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- Yes/No Quantitative Analysis of Single-Stranded Oligonucleotides with Lateral Flow Assays.Biosensors · 2026Article
- Review
- Activatable G-quadruplex based catalases for signal transduction in biosensing.Nucleic acids research · 2023Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Majority of protocols for quantitative analysis of biomarkers (including nucleic acids) require calibrations and target standards. In this work, we developed a principle for quantitative analysis that eliminates the need for a standard of a target molecule. The approach is based on stoichiometric reporting. While stoichiometry is a simple and robust analytical platform, its utility toward the analysis of biomolecules is very limited due to the lack of general methodologies for detecting the equivalence point. In this work, we engineer a new target/probe-binding model that enables detecting the equivalence point while maintaining an appropriate level of specificity. We establish the probe design principles through theoretical simulations and experimental confirmation. Further, we demonstrate the utility of the stoichiometric analysis via a proof-of-concept system based on oligonucleotide hybridization. Overall, the approach that requires neither standard nor calibration yields quantitative results with an adequate accuracy (> 90-110%) and a high specificity. The principles established in our work are very general and can extend beyond oligonucleotide targets toward quantitative analysis of many other biomolecules such as antibodies and proteins.
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