Cited 0 time in
On-site Water Nitrate Monitoring System based on Automatic Sampling and Direct Measurement with Ion-Selective Electrodes
| DC Field | Value | Language |
|---|---|---|
| dc.contributor.author | 김동욱 | - |
| dc.contributor.author | 정대현 | - |
| dc.contributor.author | 조우재 | - |
| dc.contributor.author | 심광철 | - |
| dc.contributor.author | 김학진 | - |
| dc.date.accessioned | 2025-03-20T07:00:12Z | - |
| dc.date.available | 2025-03-20T07:00:12Z | - |
| dc.date.issued | 2017-12 | - |
| dc.identifier.issn | 1738-1266 | - |
| dc.identifier.issn | 2234-1862 | - |
| dc.identifier.uri | https://scholarworks.gnu.ac.kr/handle/sw.gnu/77476 | - |
| dc.description.abstract | Purpose: In-situ monitoring of water quality is fundamental to most environmental applications. The high cost and long delays of conventional laboratory methods used to determine water quality, including on-site sampling and chemical analysis, have limited their use in efficiently managing water sources while preventing environmental pollution. The objective of this study was to develop an on-site water monitoring system consisting mainly of an Arduino board and a sensor array of multiple ion selective electrodes (ISEs) to measure the concentration of NO3 ions. Methods: The developed system includes a combination of three ISEs, double-junction reference electrode, solution container, sampling system consisting of three pumps and solenoid valves, signal processing circuit, and an Arduino board for data acquisition and system control. Prior to each sample measurement, a two-point normalization method was applied for a sensitivity adjustment followed by an offset adjustment to minimize the potential drift that could occur during continuous measurement and standardize the response of multiple electrodes. To investigate its utility in on-site nitrate monitoring, the prototype was tested in a facility where drinking water was collected from a water supply source. Results: Differences in the electric potentials of the NO3 ISEs between 10 and 100 mg · L-1 NO3 concentration levels were nearly constant with negative sensitivities of 58 to 62 mV during the period of sample measurement, which is representative of a stable electrode response. The NO3 concentrations determined by the ISEs were almost comparable to those obtained with standard instruments within 15% relative errors. Conclusions: The use of the developed on-site nitrate monitoring system based on automatic sampling and two-point normalization was feasible for detecting abrupt changes in nitrate concentration at various water supply sites, showing a maximum difference of 4.2 mg · L-1 from an actual concentration of 14 mg · L-1. | - |
| dc.format.extent | 8 | - |
| dc.language | 영어 | - |
| dc.language.iso | ENG | - |
| dc.publisher | 한국농업기계학회 | - |
| dc.title | On-site Water Nitrate Monitoring System based on Automatic Sampling and Direct Measurement with Ion-Selective Electrodes | - |
| dc.type | Article | - |
| dc.publisher.location | 대한민국 | - |
| dc.identifier.doi | 10.5307/JBE.2017.42.4.350 | - |
| dc.identifier.bibliographicCitation | Journal of Biosystems Engineering, v.42, no.4, pp 350 - 357 | - |
| dc.citation.title | Journal of Biosystems Engineering | - |
| dc.citation.volume | 42 | - |
| dc.citation.number | 4 | - |
| dc.citation.startPage | 350 | - |
| dc.citation.endPage | 357 | - |
| dc.identifier.kciid | ART002289729 | - |
| dc.description.isOpenAccess | N | - |
| dc.description.journalRegisteredClass | kci | - |
| dc.subject.keywordAuthor | Arduino | - |
| dc.subject.keywordAuthor | Ion-selective electrode | - |
| dc.subject.keywordAuthor | Nitrate | - |
| dc.subject.keywordAuthor | Two-point normalization | - |
| dc.subject.keywordAuthor | Water quality monitoring | - |
Items in ScholarWorks are protected by copyright, with all rights reserved, unless otherwise indicated.
Gyeongsang National University Central Library, 501, Jinju-daero, Jinju-si, Gyeongsangnam-do, 52828, Republic of Korea+82-55-772-0532
COPYRIGHT 2022 GYEONGSANG NATIONAL UNIVERSITY LIBRARY. ALL RIGHTS RESERVED.
Certain data included herein are derived from the © Web of Science of Clarivate Analytics. All rights reserved.
You may not copy or re-distribute this material in whole or in part without the prior written consent of Clarivate Analytics.
