Pathogen detection via inductively coupled plasma mass spectrometry analysis with nanoparticles

Area of Science:

• Biomedical Science
• Analytical Chemistry
• Nanotechnology

Background:

• Viral and bacterial infections present a major global public health challenge.
• Accurate and rapid pathogen detection is crucial for effective disease management and control.
• Current detection methods face limitations in sensitivity, speed, or scope.

Purpose of the Study:

• To review the application of inductively coupled plasma mass spectrometry (ICP-MS) combined with functional nanoparticles (NPs) for pathogen detection.
• To elucidate the principles, procedures, and requirements for this integrated approach.
• To assess the advantages, limitations, and future potential of ICP-MS and NP synergy in pathogen identification.

Main Methods:

• Literature review focusing on ICP-MS and functional nanoparticle applications in pathogen detection.
• Analysis of underlying principles, target pathogens, and NP characteristics.
• Evaluation of reported advantages, limitations, and challenges.

Main Results:

• ICP-MS offers high sensitivity, a wide linear range, and multi-analyte detection for pathogen identification.
• Functional NPs enhance the specificity and efficiency of pathogen capture and detection when coupled with ICP-MS.
• The combination demonstrates significant potential for sensitive and precise detection of viruses and bacteria.

Conclusions:

• The synergy of ICP-MS and functional NPs presents a promising and innovative strategy for advanced pathogen detection.
• Addressing current challenges in NP-ICP-MS integration can further enhance its utility in clinical and public health settings.
• This approach offers novel perspectives for improving infectious disease diagnostics and surveillance.