Highly sensitive quantification of ultratrace As(V) via iEESI-MS

Area of Science:

• Environmental Science
• Analytical Chemistry
• Mass Spectrometry

Background:

• Arsenate (As(V)) is a widespread and highly toxic environmental contaminant.
• Accurate and rapid detection methods for As(V) are crucial for public health and environmental monitoring.
• Existing methods may lack the sensitivity or speed required for ultratrace analysis.

Purpose of the Study:

• To develop a novel and highly sensitive method for the quantification of ultratrace arsenate (As(V)).
• To implement a competitive coordination strategy coupled with online internal extractive electrospray ionization mass spectrometry (iEESI-MS).
• To demonstrate the method's applicability for direct As(V) detection in various complex sample matrices.

Main Methods:

• Development of a competitive coordination strategy for As(V) detection.
• Utilized online internal extractive electrospray ionization mass spectrometry (iEESI-MS) for sensitive quantification.
• Applied the method to diverse sample types including solids, liquids, food, water, and biological samples.

Main Results:

• Successful development of a novel competitive coordination strategy for As(V) quantification.
• Achieved direct ultratrace As(V) detection with high accuracy and speed.
• Demonstrated broad applicability across a wide range of real-world sample matrices.

Conclusions:

• The developed iEESI-MS based competitive coordination strategy offers a powerful tool for ultratrace As(V) determination.
• This method provides a significant advancement for environmental monitoring and toxicological analysis.
• The strategy enables rapid and accurate detection of As(V) in complex samples, addressing a critical need.