On-Site Colorimetric Sensing of Ultra-trace Cu2+ Using Probe Anchored Porous Polymer Monolith as a Facile Solid-State Optical Sensor

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Published Sep 18, 2021
SANGEETHA KRISHNA KUMAR Akhila Maheswari M

Abstract

In this work, we have demonstrated a solid-state optical sensing methodology for Cu2+ using probe anchored porous polymer monolith. The indigenously designed polymer material offers a high surface area and enhanced porosity with a 3D network structure, that ensures greater immobilization of chromoionophoric probe, (E)-2-(2-hydroxy-1,2-diphenylethylidene) hydrazine-1-carbothioamide (HDHC) onto monolith matrix. It also provides greater accessibility for the Cu2+ ions towards the probe sites. The structural and surface features have been characterized using p-XRD, TEM, SEM, SAED, EDAX, XPS, and N2 isotherm analysis. Moreover, the chromoionophoric probe selectively complexes with the Cu2+ producing a visible color transition from light yellow to greenish brown due to the metal to ligand charge transfer complexation process. Our study shows that the developed sensor can be used as an effective tool for monitoring the ultra-trace levels of Cu2+ in water samples and it renders excellent sensitivity, faster kinetics, and selectivity towards the target analyte amidst matrix constituents, which makes it the most promising candidate for real-time analysis. The polymeric sensor is reusable for several cycles and exhibited superior data reproducibility when tested with spiked real water samples.

How to Cite

KRISHNA KUMAR, S., & M, A. M. (2021). On-Site Colorimetric Sensing of Ultra-trace Cu2+ Using Probe Anchored Porous Polymer Monolith as a Facile Solid-State Optical Sensor. SPAST Abstracts, 1(01). Retrieved from https://spast.org/techrep/article/view/798
Abstract 29 |

Article Details

Keywords

Copper, Monolith, Mesoporous, Solid-state Sensor, Polymer.

References
[1] F. Xiao, JC. Howard et al J Environ Manage 90, 3105–3109 (2009). https://doi.org/10.1016/j.jenvman.2009.05.018
[2] C. Wong, X. Li et al Environ Pollut 142, 1–16 (2006). https://doi.org/10.1016/j.envpol.2005.09.004
[3] HJ. Kim, SJ. Lee et al Adv Mater 20, 3229–3234 (2008). https://doi.org/10.1002/adma.200800246
Section
SE1: Sensors