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dc.contributor.authorHan, HeeJo-
dc.contributor.authorJung, Dae-Hyun-
dc.contributor.authorKim, Hak-Jin-
dc.contributor.authorLee, Taek Sung-
dc.contributor.authorKim, Hyoung Seok-
dc.contributor.authorKim, Ho-Youn-
dc.contributor.authorPark, Soo Hyun-
dc.date.accessioned2024-01-19T17:30:33Z-
dc.date.available2024-01-19T17:30:33Z-
dc.date.created2021-09-04-
dc.date.issued2020-06-24-
dc.identifier.issn1687-725X-
dc.identifier.urihttps://pubs.kist.re.kr/handle/201004/118511-
dc.description.abstractHydroponic 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.languageEnglish-
dc.publisherHINDAWI LTD-
dc.titleApplication of a Spectroscopic Analysis-Based Portable Sensor for Phosphate Quantitation in Hydroponic Solutions-
dc.typeArticle-
dc.identifier.doi10.1155/2020/9251416-
dc.description.journalClass1-
dc.identifier.bibliographicCitationJOURNAL OF SENSORS, v.2020-
dc.citation.titleJOURNAL OF SENSORS-
dc.citation.volume2020-
dc.description.journalRegisteredClassscie-
dc.description.journalRegisteredClassscopus-
dc.identifier.wosid000552018800001-
dc.identifier.scopusid2-s2.0-85087982517-
dc.relation.journalWebOfScienceCategoryEngineering, Electrical & Electronic-
dc.relation.journalWebOfScienceCategoryInstruments & Instrumentation-
dc.relation.journalResearchAreaEngineering-
dc.relation.journalResearchAreaInstruments & Instrumentation-
dc.type.docTypeArticle-
dc.subject.keywordAuthor스마트팜-
dc.subject.keywordAuthor센서-
dc.subject.keywordAuthor인산이온-
dc.subject.keywordAuthor토마토-
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