Sensors based on track-etched membranes and HKUST-1 for ammonia detection

Authors

  • A.Kh. Shakayeva Institute of Nuclear Physics, Almaty, Kazakhstan; L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
  • I.V. Korolkov Institute of Nuclear Physics, Almaty, Kazakhstan; L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
  • Z.K. Zhatkanbayeva L.N. Gumilyov Eurasian National University, Astana, Kazakhstan
  • O. Güven Hacettepe University, Ankara, Turkey

DOI:

https://doi.org/10.63907/ansa.v2i2.88

Keywords:

track-etched membranes, HKUST-1, metal-organic frameworks, ammonia detection, PVC nanofibers

Abstract

Hybrid colorimetric sensor membranes based on PET track-etched membranes and the copper-based metal--organic framework HKUST-1 were developed for ammonia detection. PET track-etched membranes with an average pore diameter of approximately 300~nm were used as porous supports, whereas PVC/HKUST-1 nanofibrous layers were deposited onto their surface by electrospinning. The obtained PVC/HKUST-1@PET track-etched membranes exhibited a clear visual response to ammonia, changing color from light blue to dark blue after exposure. This colorimetric effect is attributed to the interaction of ammonia molecules with copper centers in HKUST-1 and the corresponding changes in the coordination environment of copper ions. The sensing response was confirmed by Fourier-transform infrared (FTIR) spectroscopy, which revealed characteristic bands associated with N--H vibrations and ammonium species after ammonia adsorption. UV--Vis spectroscopy showed an increase in absorption intensity in the 576--610~nm region with increasing ammonia concentration. The membranes demonstrated a linear response in the concentration range from 0.001 to 0.8~M, with a limit of detection of 0.0064~M. The repeatability of the sensor response was evaluated at an ammonia concentration of 0.01~M, giving a relative standard deviation of 24\%. The results indicate that PVC/HKUST-1@PET track-etched membranes are promising materials for simple, visual, and rapid ammonia detection, with potential applications in environmental monitoring and smart food packaging.

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Published

2026-03-30

Issue

Section

Materials science, multidisciplinary – scie