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Updated: May 20, 2026

A Polyaniline-based Sensor of Nucleic Acids

A Polyaniline-based Sensor of Nucleic Acids

Published on: November 1, 2016

Nanosensing platforms harnessing boronic-acid reversible recognition for complex-sample detection: A review.

Xiangxue Zhu¹, Fang Mi¹, Yiyao Zhang¹

¹College of Chemistry and Chemical Engineering, Xinjiang Normal University, Urumqi, 830054, China.

|May 18, 2026

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Boronic acid nanosensors offer versatile cis-diol detection for saccharides and pathogens. This review provides a framework to optimize ligand design and nanoplatforms for robust analysis in complex samples.

Area of Science:

* Analytical Chemistry
* Materials Science
* Nanoscience

Background:

* Boronic acids reversibly bind cis-diols via boronate-ester formation, enabling applications in sensing.
* Widespread cis-diols in biomolecules and surfaces make boronic-acid chemistry ideal for nanomaterial integration.
* A comprehensive framework linking ligand structure, pKa, interfaces, and platform design to performance is lacking.

Purpose of the Study:

* To present a structure-interaction-platform-performance framework for boronic-acid-based nanosensing.
* To critically review ligand types, interfacial mechanisms, and nanoplatform architectures.
* To guide the rational design of nanosensors for complex sample analysis.

Main Methods:

* Comparative analysis of different boronic acid ligand types (single, double, multi-, Wulff-type).

Keywords:

Biosensing Boronic acid Complex samples Nanomaterials Recognition element

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* Evaluation of interfacial mechanisms and nanoplatform architectures (magnetic, MOF/COF, fluorescent, semiconductor, MIP-hybrids).

* Critical assessment of applications in small molecules, glycoproteins, pathogens, food, and environmental samples.

Main Results:

* Different ligand types impact neutral-pH compatibility, selectivity, and binding efficiency.
* Interfacial strategies and nanoplatforms influence anti-interference, signal transduction, and applicability.
* Real-sample performance, matrix tolerance, and robustness are key evaluation metrics.

Conclusions:

* Boronic-acid-based nanosensors require rational design considering structure-performance relationships.
* Bottlenecks include pH dependence, selectivity, standardization, and translation.
* The framework aids in developing robust nanosensors for complex analytical challenges.