[New Technologies and Application Developments in Sample Pretreatment for Public Health Laboratory Testing]

Area of Science:

• Analytical Chemistry
• Public Health Laboratory Science

Background:

• Sample pretreatment is crucial for accurate and reproducible public health laboratory testing.
• Traditional methods struggle with efficiency, throughput, solvent use, and compatibility.

Purpose of the Study:

• To review novel sample pretreatment technologies and their applications in public health laboratory testing.
• To highlight advancements addressing limitations of conventional techniques.

Main Methods:

• Review of emerging technologies including new materials and artificial intelligence.
• Focus on online processing, tailored approaches for specific settings, and omics/mass spectrometry imaging.
• Assessment of innovations promoting automation, selectivity, sensitivity, and sustainability.

Main Results:

• Novel materials and AI are improving sample pretreatment.
• Online processing and tailored methods enhance efficiency and applicability.
• Advances support greener, higher-throughput sample preparation for public health.

Conclusions:

• Technological advancements are transforming public health laboratory sample pretreatment.
• These innovations are essential for meeting evolving analytical demands and improving public health outcomes.