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Metal ions can be separated from one another by complexation with organic ligands–the chelating agent– to form uncharged chelates. Here, the chelating agent must contain hydrophobic groups and behave as a weak acid, losing a proton to bind with the metal. Since most organic ligands used in this process are insoluble or undergo oxidation in the aqueous phase, the chelating agent is initially added to the organic phase and extracted into the aqueous phase. The metal-ligand complex is...

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Related Experiment Video

Updated: Jan 24, 2026

mirMachine: A One-Stop Shop for Plant miRNA Annotation

mirMachine: A One-Stop Shop for Plant miRNA Annotation

Published on: May 1, 2021

Advances in miRNA detection.

Mustapha Zendjabil¹

¹Faculty of Medicine, University of Oran 1 Ahmed Ben Bella and Department of Biochemistry, Oran University Hospital, Oran, Algeria.

Advances in Clinical Chemistry

|January 22, 2026

Summary

This summary is machine-generated.

This review covers advances in microRNA (miRNA) detection, highlighting the need for standardized methods. New techniques and artificial intelligence promise improved biomarker discovery and personalized medicine.

Keywords:

Biomarkers Liquid biopsy MiRNAs sequencing MicroRNAs RT-qPCR

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Last Updated: Jan 24, 2026

mirMachine: A One-Stop Shop for Plant miRNA Annotation

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Perturbations of Circulating miRNAs in Irritable Bowel Syndrome Detected Using a Multiplexed High-throughput Gene Expression Platform

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Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Detection of miRNA Targets in High-throughput Using the 3'LIFE Assay

Published on: May 25, 2015

Area of Science:

Molecular Biology
Biotechnology
Bioinformatics

Background:

MicroRNAs (miRNAs) show promise as biomarkers and therapeutic targets.
Challenges in miRNA detection include small size, low concentration, and complex transport forms.

Purpose of the Study:

To review advances in miRNA detection from sample collection to interpretation.
To emphasize the need for standardized protocols for reproducibility and comparability.

Main Methods:

Discusses conventional methods: RT-qPCR, digital PCR, microarrays, and sequencing.
Details novel methods like isothermal amplification for enhanced sensitivity and specificity.
Explores the role of artificial intelligence in data analysis and biomarker discovery.

Main Results:

New methods enable point-of-care miRNA quantification.
Artificial intelligence facilitates big data analysis for biomarker discovery.
AI integration with omics and clinical data supports personalized medicine.

Conclusions:

Standardized protocols are crucial for reliable miRNA detection and application.
Emerging technologies and AI are transforming miRNA research and clinical utility.
MiRNA analysis integrated with other data types will advance patient management.