An electrochemical sensor for nitrobenzene using π-conjugated polymer-embedded nanosilver

Area of Science:

• Electrochemistry
• Materials Science
• Nanotechnology

Background:

• Nitrobenzene is a common industrial chemical with significant environmental and health concerns.
• Developing sensitive and selective electrochemical sensors is crucial for detecting nitrobenzene at low concentrations.
• Existing sensing platforms often face challenges with sensitivity, selectivity, and stability.

Purpose of the Study:

• To develop a novel electrochemical sensing platform for nitrobenzene detection.
• To synthesize and characterize silver nanoparticles (AgNPs) embedded in a poly(amic) acid (PAA) polymer matrix (PAA-AgNPs).
• To evaluate the performance of the PAA-AgNP composite as an electrochemical sensor for nitrobenzene.

Main Methods:

• Poly(amic) acid (PAA) was synthesized via polycondensation.
• PAA-AgNP nanocomposites were prepared through in situ reduction of a silver precursor by PAA.
• The composite material was characterized using X-ray diffraction (XRD) and UV/Vis spectroscopy.
• Electrochemical performance was evaluated using cyclic voltammetry and electrochemical impedance spectroscopy on a glassy carbon electrode (GC).

Main Results:

• The PAA-AgNP composite exhibited enhanced electroactivity, with a 451-fold increase in charge compared to PAA/GC.
• The electrochemical sensor demonstrated a wide linear dynamic range (10-600 μM) for nitrobenzene detection.
• A low detection limit (1.68 μM) and high sensitivity (7.88 μA μM(-1)) were achieved.
• The sensor showed minimal interference from similar nitroaromatic compounds and metal ions.

Conclusions:

• The developed PAA-AgNP nanocomposite provides a highly effective platform for electrochemical sensing of nitrobenzene.
• The sensor exhibits excellent sensitivity, selectivity, and stability, making it suitable for practical applications.
• This novel material holds promise for environmental monitoring and industrial safety applications requiring nitrobenzene detection.