| 학회 |
한국고분자학회 |
| 학술대회 |
2022년 봄 (04/06 ~ 04/08, 대전컨벤션센터) |
| 권호 |
47권 1호 |
| 발표분야 |
대학원생 구두발표(발표15분) |
| 제목 |
Semi-automated synthesis of sequence-defined polymers for information storage |
| 초록 |
Accelerated and parallel synthesis of sequence-defined polymers is an utmost challenge for realizing ultra-high-density storage of digital information in molecular media. Here we report step-economical synthesis of sequence-defined poly(L-lactic-co-glycolic acid)s (PLGAs) using continuous flow chemistry. A reactor performed the programmed coupling of the two-bit storing building blocks to generate a library of their permutations in a single continuous flow, followed by their sequential convergences to a sequence-defined PLGA storing 64 bits in four successive flows. We demonstrate that a bitmap image (896 bits) can be encoded and decoded in 14 PLGAs using only a fraction of the time required for an equivalent synthesis by conventional batch processes. Accelerated synthesis of sequence-defined polymers could also contribute to macromolecular engineering with precision comparable to natural precedents. |
| 저자 |
이정민, 김경택
|
| 소속 |
서울대 |
| 키워드 |
sequence-defined polymer; polyester; flow chemistry; information storage; tandem mass spectrometry
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| E-Mail |
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