Real-time in situ auto-correction of K+ interference for continuous and long-term NH4+ monitoring in wastewater using solid-state ion selective membrane (S-ISM) sensor assembly-Reference-Cited by-同舟云学术

Real-time in situ auto-correction of K+ interference for continuous and long-term NH4+ monitoring in wastewater using solid-state ion selective membrane (S-ISM) sensor assembly

Published:2020-10 Issue: Volume:189 Page:109891
ISSN:0013-9351
Container-title:Environmental Research
language:en
Short-container-title:Environmental Research

Author:

Wang Tianbao,Xu Zhiheng,Huang Yuankai,Dai Zheqin,Wang Xingyu,Lee Meredith,Bagtzoglou Christos,Brückner Christian,Lei Yu,Li Baikun

Funder

National Science Foundation

Environmental Protection Agency

NSF

PFI

AIR

University of Alabama

Publisher

Elsevier BV

Subject

General Environmental Science,Biochemistry

Reference52 articles.

1. Ammonium ion detection in solution using vertically grown ZnO nanorod based field-effect transistor;Ahmad;RSC Adv.,2016

2. Cesium selective polymeric membrane sensor based on p-isopropylcalix [6] arene and its application in environmental samples;Ahmadzadeh;RSC Adv.,2015

3. Determination of choline and derivatives with a solid-contact ion-selective electrode based on octaamide cavitand and carbon nanotubes;Ampurdanés;Biosens. Bioelectron.,2009

4. A review of the fate of potassium in the soil–plant system after land application of wastewaters;Arienzo;J. Hazard Mater.,2009

5. Polymer membrane ion‐selective electrodes–what are the limits?;Bakker;Electroanalysis: An International Journal Devoted to Fundamental and Practical Aspects of Electroanalysis,1999

Cited by 15 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A review of the state-of-the-art wastewater quality characterization and measurement technologies. Is the shift to real-time monitoring nowadays feasible?;Journal of Water Process Engineering;2024-04

2. Current developments in machine learning models with boosting algorithms for the prediction of water quality;Water Security: Big Data-Driven Risk Identification, Assessment and Control of Emerging Contaminants;2024

3. MXene-Coated Ion-Selective Electrode Sensors for Highly Stable and Selective Lithium Dynamics Monitoring;Environmental Science & Technology;2023-12-11

4. Sensing the impact of diet composition on protein fermentation by direct electrochemical NH4+ sensing in gastrointestinal digesta;Biosensors and Bioelectronics: X;2023-12

5. IR-based device to acquire real-time online heart ECG signals of fish (Cyprinus carpio) to evaluate the water quality;Environmental Pollution;2023-11