Vending-Machine-Style Skin Excretion Sensing

Area of Science:

• Biomedical Engineering
• Analytical Chemistry
• Clinical Diagnostics

Background:

• Skin metabolites hold significant potential for clinical diagnostics.
• Current skin sampling and analysis methods are often tedious and time-consuming.

Purpose of the Study:

• To develop an automated, vending-machine-style platform for skin metabolite sensing.
• To streamline the process of skin metabolite sampling and analysis for clinical applications.

Main Methods:

• Utilized a robotic arm with a hydrogel-assisted sampling probe to collect water-soluble skin metabolites.
• Integrated the sampling probe with a high-resolution quadrupole-time-of-flight mass spectrometer for immediate analysis.
• Developed a user-friendly interface for automated sample collection and data display.

Main Results:

• Achieved limits of detection for arginine, citrulline, and histidine at 148, 205, and 199 nM, respectively.
• Successfully identified various low-molecular-weight metabolites from human skin using high-resolution mass spectrometry.
• Demonstrated an automated workflow initiated by user interaction, similar to a vending machine.

Conclusions:

• The developed platform offers a rapid and automated approach to skin metabolite analysis.
• This technology has the potential to significantly improve the efficiency of clinical diagnostics based on skin metabolites.
• The system's reliance on low-cost components makes it a potentially accessible diagnostic tool.