Lithium sensors based on Li6La3Ta1.5Y0.5O12 and Li6BaLa2Ta2O12 garnet electrolytes for molten lead alloys

Nel-lo, Marc; Ferrer, Òscar; Colominas, Sergi; Abella, Jordi

doi:10.1016/j.snb.2021.129831

Cited by 6 publications

(2 citation statements)

References 44 publications

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“…Freitas et al modified a carbon-paste electrode (CPE) with an aluminum-doped, spinel-type manganese oxide, retrieving a super-Nernstian response towards lithium [11]. Nel-lo et al used two different solid-state electrolytes with a garnet-type crystal structure for lithium detection in molten Pb-Li alloys as the sensing element [12].…”

Section: Introductionmentioning

confidence: 99%

Smart Sensor for Lithium Detection: An Environmental Application

2023

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In this work, we propose a potentiometric smart sensor for lithium detection in environmental samples based on a screen-printed cell. The graphite screen-printed electrode (GSPE) was first modified by gold and silver nanoparticles to increase the conductivity, and then by an ion-selective membrane, which was directly deposited onto the nanostructured electrode surface. The potentiometric cell, thanks to its small size, was integrated with a portable instrument connected to a smartphone for decentralized analysis. The developed sensor was used in drop- and microflow-configurations and showed a high sensitivity for lithium with a low detection limit (1.6 µM). It was also applied in the analysis of real samples from the industrial recycling of automotive batteries and complex matrices, such as contaminated soils.

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Section: Introductionmentioning

confidence: 99%

Smart Sensor for Lithium Detection: An Environmental Application

2023

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“…Various lithium sensing strategies, such as electrochemical detection, 9–12 fiber-based sensors, 13 a flow-through optode, 14 and photophysical (absorbance and fluorescence) transduction, 15–19 have been developed. Among them is the photophysical method that exhibits superior utility owing to the apparent optical changes without interpretation of complex data, fast measurement time, and facile sample preparation procedures.…”

Section: Introductionmentioning

confidence: 99%