A Novel Iron(III)-Selective Membrane Potentiometric Sensor Based on 5-Chloro-3-[4-(trifluoromethoxy) phenylimino] Indolin-2-one (original) (raw)

Abstract

A novel polyvinyl chloride (PVC) membrane sensor that is highly selective to Fe 3+ ions was prepared by using 5-chloro-3-[4-(trifluoromethoxy)phenylimino]indolin-2-one (CFMEPI) ionophore. The sensor exhibits a Nernstian response for Fe 3+ ions over a wide concentration range (1.0 ×10 -2 −1.0×10 -6 M) with a slope of 46.7±0.5 mV per decade. The sensor has a response time of 20s and can be used for at least 3 months without any measurable divergence in potential. It was concluded that the sensor response was pH independent in the range of 4.0-8.61. The sensor has some advantages such as short analysis time, particularly high selectivity towards iron (III). The sensor was used successfully for direct determination of Fe 3+ in several synthetic and real samples with satisfactory results.

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What advantages does CFMEPI offer over traditional iron sensing methods?add

The study demonstrates that CFMEPI-based sensors provide short analysis times and significant cost-effectiveness compared to traditional methods like AAS and ICP-MS.

How does the pH range affect the performance of the CFMEPI sensor?add

The sensor operates effectively within a pH range of 4.0 to 8.61 without significant potential deviation, which enhances its reliability in various conditions.

What is the selectivity coefficient of the CFMEPI sensor for Fe3+ ions?add

The selectivity coefficient for Fe3+ ions is superior to competing metals, with values approximately -5.0, indicating high selectivity in complex matrices.

What are the response time and detection limit of the CFMEPI sensor?add

The proposed sensor shows a rapid response time of less than 20 seconds and a detection limit of 6.3×10^-7 M for Fe3+ ions.

Which real samples were analyzed using the CFMEPI sensor, and what were the findings?add

The sensor was applied to analyze Fe3+ levels in tap water and river water, yielding satisfactory quantitative results in various sample matrices.

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