Cargando…
An ISE-based On-Site Soil Nitrate Nitrogen Detection System
Soil nitrate–nitrogen (NO(3)(−)-N) is one of the primary factors used to control nitrogen topdressing application during the crop growth period. The ion-selective electrode (ISE) is a promising method for rapid lower-cost in-field detection. Due to the simplification of sample preparation, the accur...
Autores principales: | , , , , |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
MDPI
2019
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864631/ https://www.ncbi.nlm.nih.gov/pubmed/31661786 http://dx.doi.org/10.3390/s19214669 |
_version_ | 1783471927135830016 |
---|---|
author | Li, Yanhua Yang, Qingliang Chen, Ming Wang, Maohua Zhang, Miao |
author_facet | Li, Yanhua Yang, Qingliang Chen, Ming Wang, Maohua Zhang, Miao |
author_sort | Li, Yanhua |
collection | PubMed |
description | Soil nitrate–nitrogen (NO(3)(−)-N) is one of the primary factors used to control nitrogen topdressing application during the crop growth period. The ion-selective electrode (ISE) is a promising method for rapid lower-cost in-field detection. Due to the simplification of sample preparation, the accuracy and stability of ISE-based in-field detection is doubted. In this paper, a self-designed prototype system for on-site soil NO(3)(−)-N detection was developed. The procedure of spinning centrifugation was used to avoid interference from soil slurry suspension. A modified Nernstian prediction model was quantitatively characterized with outputs from both the ISE and the soil moisture sensor. The measurement accuracy of the sensor fusion model was comparable with the laboratory ISE detections with standard sample pretreatment. Compared with the standard spectrometric method, the average absolute error (AE) and root-mean-square error (RMSE) were found to be less than 4.7 and 6.1 mg/L, respectively. The on-site soil testing efficiency was 4–5 min/sample, which reduced the operation time by 60% compared with manual sample preparation. The on-site soil NO(3)(−)-N status was dynamically monitored for 42 consecutive days. The declining peak of NO(3)(−)-N was observed. In all, the designed ISE-based detection system demonstrated a promising capability for the dynamic on-site monitoring of soil macronutrients. |
format | Online Article Text |
id | pubmed-6864631 |
institution | National Center for Biotechnology Information |
language | English |
publishDate | 2019 |
publisher | MDPI |
record_format | MEDLINE/PubMed |
spelling | pubmed-68646312019-12-23 An ISE-based On-Site Soil Nitrate Nitrogen Detection System Li, Yanhua Yang, Qingliang Chen, Ming Wang, Maohua Zhang, Miao Sensors (Basel) Article Soil nitrate–nitrogen (NO(3)(−)-N) is one of the primary factors used to control nitrogen topdressing application during the crop growth period. The ion-selective electrode (ISE) is a promising method for rapid lower-cost in-field detection. Due to the simplification of sample preparation, the accuracy and stability of ISE-based in-field detection is doubted. In this paper, a self-designed prototype system for on-site soil NO(3)(−)-N detection was developed. The procedure of spinning centrifugation was used to avoid interference from soil slurry suspension. A modified Nernstian prediction model was quantitatively characterized with outputs from both the ISE and the soil moisture sensor. The measurement accuracy of the sensor fusion model was comparable with the laboratory ISE detections with standard sample pretreatment. Compared with the standard spectrometric method, the average absolute error (AE) and root-mean-square error (RMSE) were found to be less than 4.7 and 6.1 mg/L, respectively. The on-site soil testing efficiency was 4–5 min/sample, which reduced the operation time by 60% compared with manual sample preparation. The on-site soil NO(3)(−)-N status was dynamically monitored for 42 consecutive days. The declining peak of NO(3)(−)-N was observed. In all, the designed ISE-based detection system demonstrated a promising capability for the dynamic on-site monitoring of soil macronutrients. MDPI 2019-10-28 /pmc/articles/PMC6864631/ /pubmed/31661786 http://dx.doi.org/10.3390/s19214669 Text en © 2019 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (http://creativecommons.org/licenses/by/4.0/). |
spellingShingle | Article Li, Yanhua Yang, Qingliang Chen, Ming Wang, Maohua Zhang, Miao An ISE-based On-Site Soil Nitrate Nitrogen Detection System |
title | An ISE-based On-Site Soil Nitrate Nitrogen Detection System |
title_full | An ISE-based On-Site Soil Nitrate Nitrogen Detection System |
title_fullStr | An ISE-based On-Site Soil Nitrate Nitrogen Detection System |
title_full_unstemmed | An ISE-based On-Site Soil Nitrate Nitrogen Detection System |
title_short | An ISE-based On-Site Soil Nitrate Nitrogen Detection System |
title_sort | ise-based on-site soil nitrate nitrogen detection system |
topic | Article |
url | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6864631/ https://www.ncbi.nlm.nih.gov/pubmed/31661786 http://dx.doi.org/10.3390/s19214669 |
work_keys_str_mv | AT liyanhua anisebasedonsitesoilnitratenitrogendetectionsystem AT yangqingliang anisebasedonsitesoilnitratenitrogendetectionsystem AT chenming anisebasedonsitesoilnitratenitrogendetectionsystem AT wangmaohua anisebasedonsitesoilnitratenitrogendetectionsystem AT zhangmiao anisebasedonsitesoilnitratenitrogendetectionsystem AT liyanhua isebasedonsitesoilnitratenitrogendetectionsystem AT yangqingliang isebasedonsitesoilnitratenitrogendetectionsystem AT chenming isebasedonsitesoilnitratenitrogendetectionsystem AT wangmaohua isebasedonsitesoilnitratenitrogendetectionsystem AT zhangmiao isebasedonsitesoilnitratenitrogendetectionsystem |