Literature DB >> 33466240

A Co-Nanoparticles Modified Electrode for On-Site and Rapid Phosphate Detection in Hydroponic Solutions.

Feng Xu1,2,3, Peng Wang3, Shiyuan Bian1,2, Yuliang Wei1,2, Deyi Kong1, Huanqin Wang1.   

Abstract

Conventional strategies for determining phosphate concentration is limited in efficiency due to the cost, time, and labor that is required in laboratory analysis. Therefore, an on-site and rapid detection sensor for phosphate is urgently needed to characterize phosphate variability in a hydroponic system. Cobalt (Co) is a highly sensitive metal that has shown a selectivity towards phosphate to a certain extent. A disposable phosphate sensor based on the screen-printed electrode (SPE) was developed to exploit the advantages of Co-nanoparticles. A support vector machine regression model was established to predict the concentration of phosphate in the hydroponic solutions. The results showed that Co-nanoparticles improve the detection limit of the sensor in the initial state. Meanwhile, the corrosion of Co-nanoparticles leads to a serious time-drift and instability of the electrodes. On the other hand, the coefficient of variation of the disposable phosphate detection chip is 0.4992%, the sensitivity is 33 mV/decade, and the linear range is 10-1-10-4.56 mol/L. The R2 and mean square error of the buffer-free sensor in the hydroponic solution are 0.9792 and 0.4936, respectively. In summary, the SPE modified by the Co-nanoparticles is a promising low-cost sensor for on-site and rapid measurement of the phosphate concentration in hydroponic solutions.

Entities:  

Keywords:  Co-nanoparticles; buffer-free sensor; hydroponic solutions; on-site and rapid; phosphate

Year:  2021        PMID: 33466240      PMCID: PMC7794852          DOI: 10.3390/s21010299

Source DB:  PubMed          Journal:  Sensors (Basel)        ISSN: 1424-8220            Impact factor:   3.576


  16 in total

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Authors:  Zhiwei Zou; Jungyoup Han; Am Jang; Paul L Bishop; Chong H Ahn
Journal:  Biosens Bioelectron       Date:  2006-09-18       Impact factor: 10.618

2.  Extended artificial neural networks: incorporation of a priori chemical knowledge enables use of ion selective electrodes for in-situ measurement of ions at environmentally relevant levels.

Authors:  Amy V Mueller; Harold F Hemond
Journal:  Talanta       Date:  2013-09-04       Impact factor: 6.057

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Journal:  BMJ       Date:  1996-07-06

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Authors:  Monika Kavanová; Fernando Alfredo Lattanzi; Agustín Alberto Grimoldi; Hans Schnyder
Journal:  Plant Physiol       Date:  2006-04-28       Impact factor: 8.340

Review 5.  Real-time monitoring of nutrients and dissolved organic matter in rivers: Capturing event dynamics, technological opportunities and future directions.

Authors:  Phillip J Blaen; Kieran Khamis; Charlotte E M Lloyd; Chris Bradley; David Hannah; Stefan Krause
Journal:  Sci Total Environ       Date:  2016-07-02       Impact factor: 7.963

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Authors:  R K Meruva; M E Meyerhoff
Journal:  Anal Chem       Date:  1996-07-01       Impact factor: 6.986

7.  Fast room temperature cloud point extraction procedure for spectrophotometric determination of phosphate in water samples.

Authors:  Denys Snigur; Alexander Chebotarev; Kseniia Bulat; Vitaliy Duboviy
Journal:  Anal Biochem       Date:  2020-02-29       Impact factor: 3.365

8.  Internal Calibration Potentiometric Aptasensors for Simultaneous Detection of Hg2+, Cd2+, and As3+ Based on a Screen-Printed Carbon Electrodes Array.

Authors:  Wanxin Tang; Zhenzhen Wang; Juan Yu; Fan Zhang; Pingang He
Journal:  Anal Chem       Date:  2018-07-02       Impact factor: 6.986

9.  Hybrid Signal-Processing Method Based on Neural Network for Prediction of NO3, K, Ca, and Mg Ions in Hydroponic Solutions Using an Array of Ion-Selective Electrodes.

Authors:  Woo-Jae Cho; Hak-Jin Kim; Dae-Hyun Jung; Hee-Jo Han; Young-Yeol Cho
Journal:  Sensors (Basel)       Date:  2019-12-13       Impact factor: 3.576

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  2 in total

1.  SERS Determination of Trace Phosphate in Aquaculture Water Based on a Rhodamine 6G Molecular Probe Association Reaction.

Authors:  Ye Jiang; Xiaochan Wang; Guo Zhao; Yinyan Shi; Nguyen Thi Dieu Thuy; Haolin Yang
Journal:  Biosensors (Basel)       Date:  2022-05-10

Review 2.  Nanomaterials for electrochemical detection of pollutants in water: A review.

Authors:  Humberto Andre Potes-Lesoinne; Fernando Ramirez-Alvarez; Victor H Perez-Gonzalez; Sergio O Martinez-Chapa; Roberto Carlos Gallo-Villanueva
Journal:  Electrophoresis       Date:  2021-10-29       Impact factor: 3.595

  2 in total

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