PMID- 30594695
OWN - NLM
STAT- MEDLINE
DCOM- 20191218
LR  - 20191218
IS  - 1096-0953 (Electronic)
IS  - 0013-9351 (Linking)
VI  - 170
DP  - 2019 Mar
TI  - Discrimination of phthalate species using a simple phage-based colorimetric 
      sensor in conjunction with hierarchical support vector machine.
PG  - 238-242
LID - S0013-9351(18)30660-1 [pii]
LID - 10.1016/j.envres.2018.12.030 [doi]
AB  - 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.
CI  - Copyright (c) 2018 Elsevier Inc. All rights reserved.
FAU - Seol, Daun
AU  - Seol D
AD  - Department of Chemistry and Research Institute for Convergence of Basic Science, 
      Hanyang University, Seoul 04763, Republic of Korea.
FAU - Jang, Daeil
AU  - Jang D
AD  - Department of Mathematics, College of Natural Sciences, Hanyang University, Seoul 
      04763, Republic of Korea.
FAU - Oh, Jin-Woo
AU  - Oh JW
AD  - BK21 Plus Division of Nano Convergence Technology, Pusan National University, 
      Busan 46241, Republic of Korea; Department of Nano Fusion Technology, Pusan 
      National University, Busan 46241, Republic of Korea; Department of Nanoenergy 
      Engineering, Pusan National University, Busan 46241, Republic of Korea.
FAU - Cha, Kyungjoon
AU  - Cha K
AD  - Department of Mathematics, College of Natural Sciences, Hanyang University, Seoul 
      04763, Republic of Korea. Electronic address: kjcha@hanyang.ac.kr.
FAU - Chung, Hoeil
AU  - Chung H
AD  - Department of Chemistry and Research Institute for Convergence of Basic Science, 
      Hanyang University, Seoul 04763, Republic of Korea. Electronic address: 
      hoeil@hanyang.ac.kr.
LA  - eng
PT  - Journal Article
PT  - Research Support, Non-U.S. Gov't
DEP - 20181215
PL  - Netherlands
TA  - Environ Res
JT  - Environmental research
JID - 0147621
RN  - 0 (Phthalic Acids)
RN  - 2286E5R2KE (Dibutyl Phthalate)
RN  - C42K0PH13C (Diethylhexyl Phthalate)
SB  - IM
MH  - *Bacteriophages
MH  - Colorimetry
MH  - Dibutyl Phthalate
MH  - Diethylhexyl Phthalate
MH  - *Phthalic Acids
MH  - Support Vector Machine
OTO - NOTNLM
OT  - Bacteriophage-based color sensor
OT  - Discrimination
OT  - Hierarchical support vector machine
OT  - Phthalates
EDAT- 2018/12/31 06:00
MHDA- 2019/12/19 06:00
CRDT- 2018/12/31 06:00
PHST- 2018/09/26 00:00 [received]
PHST- 2018/12/12 00:00 [revised]
PHST- 2018/12/14 00:00 [accepted]
PHST- 2018/12/31 06:00 [pubmed]
PHST- 2019/12/19 06:00 [medline]
PHST- 2018/12/31 06:00 [entrez]
AID - S0013-9351(18)30660-1 [pii]
AID - 10.1016/j.envres.2018.12.030 [doi]
PST - ppublish
SO  - Environ Res. 2019 Mar;170:238-242. doi: 10.1016/j.envres.2018.12.030. Epub 2018 
      Dec 15.