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| Type |
Poster Presentation |
| Area |
Material Chemistry |
| Room No. |
Exhibition Hall 2+3 |
| Time |
10월 19일 (목요일) 11:00~12:30 |
| Code |
MAT.P-390 |
| Subject |
Detection of endocrine disruptors by M-13 virus-based structural color nanostructure |
| Authors |
Yujin Lee, Jin-Woo Oh1,*
Nano-Convergence Technology, Pusan National University, Korea
1Department of Nano & Materials Science and Enginee, Pusan National University, Korea
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| Abstract |
Considerable social interest generated due to the side effects of endocrine disrupting chemicals. The structure of EDC, like benzene, mimics the mechanism of hormones occurring naturally in vivo and changes the physiology of the endocrine system. However, PCBs and phthalates in plastic products are still in use today, although representative EDCs such as PCBs(Polychlorinated Biphenyls) and phthalate compounds have already been banned in many countries. EDCs can be release from the product during use and/or disposal, and cause serious environmental problems. Here, we have developed a virus based on structurally colored nanostructures that are capable of sensitive and selective detection of even minute concentrations of EDC. These structurally colored nanostructures form a regular virus bundle structure through a simple pulling technique and exhibit a unique angle-independent color. By controlling the concentration of the virus solution and the pulling speed, this can create various color bands. Use M-13 bacteriophage genetically engineered to react with specific EDCs, PCBs and phthalates. The benzene derivative peptide was bound to the surface of M-13 bacteriophage(pVIII major coat protein) by phage library method. In the initial step, virus-based color sensor was exposed to a variety of organic chemicals. The sensitivity of the virus-based color sensor was tested along with the selectivity evaluation. 10 to 300 ppm of phthalic anhydride and chlorobenzene were detected by the color sensor and showed a remarkable sensitivity with a dissociation constant of about 90. All measurements were analyzed by Principal Component Analysis(PCA) and Linear Discriminant Analysis(LDA) and the notable point was a clear distinction when exposed to two categories of EDC(PCB and phthalate). |
| E-mail |
pinky204@hanmail.net |
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120th General Meeting of the KCS