Potassium ions (K) present in wastewater has caused severe interference for NH monitoring, over-estimation of NH concentration and ultimately leads to extra energy consumption. Past effort for enhancing the selectivity of NH over K were oftentimes complex, costly, or compromised the selectivity and accuracy of the NH ion selective membrane (ISM) sensors. This study targeted this imminent challenge by developing an integrated NH/K auto-correction solid-state ISM (S-ISM) sensor assembly combined with a data-driven model to monitor [NH] under different [NH] and [K] concentrations.
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