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CRISPR

CRISPR

Genome editing technologies allow scientists to modify an organism’s DNA via the addition, removal, or rearrangement of genetic material at specific genomic locations. These types of techniques could potentially be used to cure genetic disorders such as hemophilia and sickle cell anemia. One popular and widely used DNA-editing research tool that could lead to safe and effective cures for genetic disorders is the CRISPR-Cas9 system. CRISPR-Cas9 stands for Clustered Regularly Interspaced...

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Microfluidic Platform with Multiplexed Electronic Detection for Spatial Tracking of Particles

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Published on: March 13, 2017

Unlocking Zeptomolar Single-Molecule Detection by Synergizing Digital Microfluidics and Digital CRISPR.

Zheng Li^1,2,3, Fenggang Li^1,4, Liyan Hua⁵

¹Shenzhen Key Laboratory of Smart Healthcare Engineering, Guangdong Provincial Key Laboratory of Advanced Biomaterials, Department of Biomedical Engineering, Southern University of Science and Technology, Shenzhen, Guangdong 518055, China.

Journal of the American Chemical Society

|November 13, 2025

Summary

We developed a Dual-Digital immunoassay (DDA) platform for highly sensitive biomarker detection. This automated system achieves zeptomolar sensitivity, improving early disease diagnosis.

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Area of Science:

Biomarker Discovery
Assay Development
Molecular Diagnostics

Background:

Accurate disease diagnosis requires sensitive, quantitative detection of immune biomarkers.
Current methods struggle with sensitivity, specificity, and background noise.
Ultrasensitive detection is crucial for early disease identification.

Purpose of the Study:

Introduce the Dual-Digital immunoassay (DDA) platform.
Demonstrate its capability for highly sensitive, automated biomarker quantification.
Validate DDA for early disease diagnosis using clinically relevant biomarkers.

Main Methods:

Developed a fully automated DDA platform integrating digital microfluidics and CRISPR-Cas13a amplification.
Utilized magnetic bead-based immunocapture and digital microwell arrays.
Optimized the assay for reduced background noise and enhanced sensitivity.

Main Results:

Achieved zeptomolar (zM) detection limits for protein biomarkers (LOD down to 100 zM).
Demonstrated >100-fold improvement over existing ultrasensitive assays.
Quantified heart failure biomarkers (NT-proBNP, IL-6, TNF-α) in serum at attomolar (aM) levels.

Conclusions:

The DDA platform offers unprecedented sensitivity and automation for biomarker analysis.
Enables precise quantification of low-abundance biomarkers for early disease detection.
Shows significant potential for automated screening and risk assessment across various diseases.