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Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor

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Published on: February 16, 2018

Intelligent detection technologies for microbes and disease biomarkers.

Shuang Liu¹, Yanhua Yang¹, Ye Pan¹

¹School of Biological Science and Technology, Jiangsu University, Zhenjiang, China.

Critical Reviews in Microbiology

|July 11, 2026

Summary

Advanced detection technologies offer noninvasive, real-time monitoring of microbes and disease biomarkers. These innovations promise breakthroughs in precision medicine and personalized health by overcoming limitations of conventional methods.

Keywords:

Intelligent detection biosensors disease biomarkers microbial visualization

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Ultrasensitive Detection of Biomarkers by Using a Molecular Imprinting Based Capacitive Biosensor

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Biomolecular Detection employing the Interferometric Reflectance Imaging Sensor (IRIS)

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Identification of Rare Bacterial Pathogens by 16S rRNA Gene Sequencing and MALDI-TOF MS

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Published on: July 11, 2016

Area of Science:

Microbiology
Biotechnology
Medical Imaging

Background:

Microbial metabolic activities are crucial in human health and disease pathogenesis.
Conventional microbe and biomarker detection methods face limitations in real-time performance, invasiveness, specificity, and parallel detection.
Emerging interdisciplinary fields are driving the development of intelligent detection technologies.

Purpose of the Study:

To systematically review technological breakthroughs for microbial visualization and disease biomarker tracking.
To highlight novel solutions for sensitive, noninvasive, real-time, and multi-modal detection.
To discuss challenges in clinical translation for precision medicine and microbiome research.

Main Methods:

Review of physical information-based sensing (photoacoustic imaging, acoustic reporter genes).
Exploration of specific probe labeling (fluorescent, isotopic, nanomaterial-based).
Analysis of genetically engineered biosensors and bioluminescence imaging.

Main Results:

These advanced strategies enable real-time *in vivo* monitoring of microbial dynamics.
The reviewed technologies show significant promise for sensitive and specific biomarker detection.
Integration of synthetic biology, nanotechnology, optical imaging, and AI is key.

Conclusions:

Novel intelligent detection technologies offer solutions to limitations of conventional methods.
These approaches facilitate real-time *in vivo* microbial monitoring and biomarker detection.
Addressing clinical translation challenges is vital for advancing precision medicine and personalized health.