Full metadata record
DC Field | Value | Language |
---|---|---|
dc.contributor.author | 차경준 | - |
dc.date.accessioned | 2019-04-30T00:32:52Z | - |
dc.date.available | 2019-04-30T00:32:52Z | - |
dc.date.issued | 2019-01 | - |
dc.identifier.citation | ENVIRONMENTAL RESEARCH, v. 170, Page. 238-242 | en_US |
dc.identifier.issn | 0013-9351 | - |
dc.identifier.issn | 1096-0953 | - |
dc.identifier.uri | https://www.sciencedirect.com/science/article/pii/S0013935118306601?via%3Dihub | - |
dc.identifier.uri | https://repository.hanyang.ac.kr/handle/20.500.11754/102971 | - |
dc.description.abstract | Here, the analytical potential of an M13 bacteriophage-based color sensor for discrimination of 4 phthalates with similar molecular structures (bis-(2-ethylhexyl)-phthalate (BEHP), dibutyl phthalate (DBP), diethyl phthalate (DEP), and benzyl-butyl-phthalate (BBP)) was investigated. The pattern and magnitude of the RGB color changes were different depending on the functional groups present in the phthalate structures. For example, BEHP possessing a long alkyl chain resulted in a minute color change, while the variation of color was substantially large when BBP containing an additional benzene ring was measured. Since a tryptophan-histidine-tryptophan residue possessing indole and imidazole was present on the self-assembled phages, the pi-pi interaction of benzene in BBP with the sensor surface produced a considerably greater color change. To evaluate the multi-modally varying color signals due to diverse interactions of the phthalates with the sensor and to discriminate them, support vector machine (SVM), which can construct a boundary hyperplane among complexly scattered sample groups, was used. In addition, hierarchical SVM (H-SVM) was adopted to deal with multi-class discrimination. The use of H-SVM improved the discrimination accuracy up to 90.1%, compared to 87.1% using SVM. The demonstrated color sensor is versatile and can be potentially adopted as an on-site screening tool. Strategies to improve the accuracy further for real applications are also discussed. | en_US |
dc.description.sponsorship | This work was supported by the Korea Institute of Planning and Evaluation for Technology in Food, Agriculture, Forestry (IPET) through the Advanced Production Technology Development Program of the Ministry of Agriculture, Food and Rural Affairs (MAFRA) (31608004) and the Bio & Medical Technology Development Program of the National Research Foundation (NRF) funded by the Ministry of Science & ICT (No. 2017M3A9G8084539). | en_US |
dc.language.iso | en | en_US |
dc.publisher | ACADEMIC PRESS INC ELSEVIER SCIENCE | en_US |
dc.subject | Bacteriophage-based color sensor | en_US |
dc.subject | Phthalates | en_US |
dc.subject | Discrimination | en_US |
dc.subject | Hierarchical support vector machine | en_US |
dc.title | Discrimination of phthalate species using a simple phage-based colorimetric sensor in conjunction with hierarchical support vector machine | en_US |
dc.type | Article | en_US |
dc.relation.volume | 170 | - |
dc.identifier.doi | 10.1016/j.envres.2018.12.030 | - |
dc.relation.page | 238-242 | - |
dc.relation.journal | ENVIRONMENTAL RESEARCH | - |
dc.contributor.googleauthor | Seol, Daun | - |
dc.contributor.googleauthor | Jang, Daeil | - |
dc.contributor.googleauthor | Oh, Jin-Woo | - |
dc.contributor.googleauthor | Cha, Kyungjoon | - |
dc.contributor.googleauthor | Chung, Hoeil | - |
dc.relation.code | 2019000322 | - |
dc.sector.campus | S | - |
dc.sector.daehak | COLLEGE OF NATURAL SCIENCES[S] | - |
dc.sector.department | DEPARTMENT OF MATHEMATICS | - |
dc.identifier.pid | kjcha | - |
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