Peter M. Pittaway, Kudakwashe E. Chingono, Stephen T. Knox, Elaine Martin, Richard A. Bourne, Olivier J. Cayre, Nikil Kapur, Jonathan Booth, Robin Capomaccio, Nicholas Pedge and Nicholas J. Warren*,
{"title":"利用在线空间分辨动态光散射和流动核磁共振技术自动定位pisa合成的嵌段共聚物纳米颗粒的尺寸","authors":"Peter M. Pittaway, Kudakwashe E. Chingono, Stephen T. Knox, Elaine Martin, Richard A. Bourne, Olivier J. Cayre, Nikil Kapur, Jonathan Booth, Robin Capomaccio, Nicholas Pedge and Nicholas J. Warren*, ","doi":"10.1021/acspolymersau.4c0007410.1021/acspolymersau.4c00074","DOIUrl":null,"url":null,"abstract":"<p >Programmable synthesis of polymer nanoparticles prepared by polymerization-induced self-assembly (PISA) mediated by reversible addition–fragmentation chain-transfer (RAFT) dispersion polymerization with specified diameter is achieved in an automated flow-reactor platform. Real-time particle size and monomer conversion is obtained via inline spatially resolved dynamic light scattering (SRDLS) and benchtop nuclear magnetic resonance (NMR) instrumentation. An initial training experiment generated a relationship between copolymer block length and particle size for the synthesis of poly(<i>N</i>,<i>N</i>-dimethylacrylamide)-<i>b</i>-poly(diacetone acrylamide) (PDMAm-<i>b</i>-PDAAm) nanoparticles. The training data was used to target the product compositions required for synthesis of nanoparticles with defined diameters of 50, 60, 70, and 80 nm, while inline NMR spectroscopy enabled rapid acquisition of kinetic data to support their scale-up. NMR and SRDLS were used during the continuous manufacture of the targeted products to monitor product consistency while an automated sampling system collected practically useful quantities of the targeted products, thus outlining the potential of the platform as a tool for discovery, development, and manufacture of polymeric nanoparticles.</p>","PeriodicalId":72049,"journal":{"name":"ACS polymers Au","volume":"5 1","pages":"1–9 1–9"},"PeriodicalIF":4.7000,"publicationDate":"2024-11-26","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acspolymersau.4c00074","citationCount":"0","resultStr":"{\"title\":\"Exploiting Online Spatially Resolved Dynamic Light Scattering and Flow-NMR for Automated Size Targeting of PISA-Synthesized Block Copolymer Nanoparticles\",\"authors\":\"Peter M. Pittaway, Kudakwashe E. Chingono, Stephen T. Knox, Elaine Martin, Richard A. Bourne, Olivier J. Cayre, Nikil Kapur, Jonathan Booth, Robin Capomaccio, Nicholas Pedge and Nicholas J. Warren*, \",\"doi\":\"10.1021/acspolymersau.4c0007410.1021/acspolymersau.4c00074\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >Programmable synthesis of polymer nanoparticles prepared by polymerization-induced self-assembly (PISA) mediated by reversible addition–fragmentation chain-transfer (RAFT) dispersion polymerization with specified diameter is achieved in an automated flow-reactor platform. Real-time particle size and monomer conversion is obtained via inline spatially resolved dynamic light scattering (SRDLS) and benchtop nuclear magnetic resonance (NMR) instrumentation. An initial training experiment generated a relationship between copolymer block length and particle size for the synthesis of poly(<i>N</i>,<i>N</i>-dimethylacrylamide)-<i>b</i>-poly(diacetone acrylamide) (PDMAm-<i>b</i>-PDAAm) nanoparticles. The training data was used to target the product compositions required for synthesis of nanoparticles with defined diameters of 50, 60, 70, and 80 nm, while inline NMR spectroscopy enabled rapid acquisition of kinetic data to support their scale-up. NMR and SRDLS were used during the continuous manufacture of the targeted products to monitor product consistency while an automated sampling system collected practically useful quantities of the targeted products, thus outlining the potential of the platform as a tool for discovery, development, and manufacture of polymeric nanoparticles.</p>\",\"PeriodicalId\":72049,\"journal\":{\"name\":\"ACS polymers Au\",\"volume\":\"5 1\",\"pages\":\"1–9 1–9\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2024-11-26\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://pubs.acs.org/doi/epdf/10.1021/acspolymersau.4c00074\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"ACS polymers Au\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acspolymersau.4c00074\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q1\",\"JCRName\":\"POLYMER SCIENCE\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"ACS polymers Au","FirstCategoryId":"1085","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acspolymersau.4c00074","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"POLYMER SCIENCE","Score":null,"Total":0}
Exploiting Online Spatially Resolved Dynamic Light Scattering and Flow-NMR for Automated Size Targeting of PISA-Synthesized Block Copolymer Nanoparticles
Programmable synthesis of polymer nanoparticles prepared by polymerization-induced self-assembly (PISA) mediated by reversible addition–fragmentation chain-transfer (RAFT) dispersion polymerization with specified diameter is achieved in an automated flow-reactor platform. Real-time particle size and monomer conversion is obtained via inline spatially resolved dynamic light scattering (SRDLS) and benchtop nuclear magnetic resonance (NMR) instrumentation. An initial training experiment generated a relationship between copolymer block length and particle size for the synthesis of poly(N,N-dimethylacrylamide)-b-poly(diacetone acrylamide) (PDMAm-b-PDAAm) nanoparticles. The training data was used to target the product compositions required for synthesis of nanoparticles with defined diameters of 50, 60, 70, and 80 nm, while inline NMR spectroscopy enabled rapid acquisition of kinetic data to support their scale-up. NMR and SRDLS were used during the continuous manufacture of the targeted products to monitor product consistency while an automated sampling system collected practically useful quantities of the targeted products, thus outlining the potential of the platform as a tool for discovery, development, and manufacture of polymeric nanoparticles.