Full metadata record
DC Field | Value | Language |
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dc.contributor.author | Han, HeeJo | - |
dc.contributor.author | Jung, Dae-Hyun | - |
dc.contributor.author | Kim, Hak-Jin | - |
dc.contributor.author | Lee, Taek Sung | - |
dc.contributor.author | Kim, Hyoung Seok | - |
dc.contributor.author | Kim, Ho-Youn | - |
dc.contributor.author | Park, Soo Hyun | - |
dc.date.accessioned | 2024-01-19T17:30:33Z | - |
dc.date.available | 2024-01-19T17:30:33Z | - |
dc.date.created | 2021-09-04 | - |
dc.date.issued | 2020-06-24 | - |
dc.identifier.issn | 1687-725X | - |
dc.identifier.uri | https://pubs.kist.re.kr/handle/201004/118511 | - |
dc.description.abstract | Hydroponic plant culturing requires the concentration of nutrients in the supplied solution to be maintained at a constant level. For example, phosphate ion concentration directly affects crop growth, which necessitates the development of convenient and rapid techniques for on-site phosphate quantitation. Herein, we developed a new low-cost colorimetric method of quick on-site phosphate quantitation based on a modification of the conventional molybdenum colorimetric method. Specifically, the nutrient solution treated with ascorbic acid and molybdate was analyzed by colorimetric method after 10 min incubation, and a phosphate quantitation protocol was proposed. To verify this protocol, 50 nutrient solution samples with concentrations of 0-200 ppm were used to develop a model and perform a validation experiment, and the PLSR (Partial Least Squares Regression) and PCR (Principal Component Regression) models were developed and validated using a crossvalidation method and sample transmission spectra. The PLSR model, employing smoothing preprocessing at a 5 nm wavelength spacing, exhibited the best prediction performance and showed an error of similar to 10% within the measurement range during verification. In addition, an artificial neural network-based model achievedR(2)=0.93for the training set andR(2)=0.86for the validation set. Finally, we developed convenient-to-use software for phosphate ion quantitation by the presented method and performed a demonstration test. | - |
dc.language | English | - |
dc.publisher | HINDAWI LTD | - |
dc.title | Application of a Spectroscopic Analysis-Based Portable Sensor for Phosphate Quantitation in Hydroponic Solutions | - |
dc.type | Article | - |
dc.identifier.doi | 10.1155/2020/9251416 | - |
dc.description.journalClass | 1 | - |
dc.identifier.bibliographicCitation | JOURNAL OF SENSORS, v.2020 | - |
dc.citation.title | JOURNAL OF SENSORS | - |
dc.citation.volume | 2020 | - |
dc.description.journalRegisteredClass | scie | - |
dc.description.journalRegisteredClass | scopus | - |
dc.identifier.wosid | 000552018800001 | - |
dc.identifier.scopusid | 2-s2.0-85087982517 | - |
dc.relation.journalWebOfScienceCategory | Engineering, Electrical & Electronic | - |
dc.relation.journalWebOfScienceCategory | Instruments & Instrumentation | - |
dc.relation.journalResearchArea | Engineering | - |
dc.relation.journalResearchArea | Instruments & Instrumentation | - |
dc.type.docType | Article | - |
dc.subject.keywordAuthor | 스마트팜 | - |
dc.subject.keywordAuthor | 센서 | - |
dc.subject.keywordAuthor | 인산이온 | - |
dc.subject.keywordAuthor | 토마토 | - |
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