The Experts below are selected from a list of 22008 Experts worldwide ranked by ideXlab platform
Robert Langer - One of the best experts on this subject based on the ideXlab platform.
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Application of targeted molecular and material property optimization to Bacterial Attachment-resistant (meth)acrylate polymers
Biomacromolecules, 2016Co-Authors: Kevin Adlington, Chien-yi Chang, Nam T. Nguyen, Elizabeth Eaves, Jianing Li, Amy Stimpson, Alexandra L. Gower, Dustin Anderson, Jing Yang, Robert LangerAbstract:Developing medical devices that resist Bacterial Attachment and subsequent biofilm formation is highly desirable. In this paper, we report the optimization of the molecular structure and thus material properties of a range of (meth)acrylate copolymers which contain monomers reported to deliver Bacterial resistance to surfaces. This optimization allows such monomers to be employed within novel coatings to reduce Bacterial Attachment to silicone urinary catheters. We show that the flexibility of copolymers can be tuned to match that of the silicone catheter substrate, by copolymerizing these polymers with a lower Tg monomer such that it passes the flexing fatigue tests as coatings upon catheters, that the homopolymers failed. Furthermore, the Tg values of the copolymers are shown to be readily estimated by the Fox equation. The Bacterial resistance performance of these copolymers were typically found to be better than the neat silicone or a commercial silver containing hydrogel surface, when the monomer fee...
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Application of Targeted Molecular and Material Property Optimization to Bacterial Attachment-Resistant (Meth)acrylate Polymers
2016Co-Authors: Kevin Adlington, Chien-yi Chang, Nam T. Nguyen, Elizabeth Eaves, Amy Stimpson, Alexandra L. Gower, Jing Yang, Daniel G. Anderson, Robert LangerAbstract:Developing medical devices that resist Bacterial Attachment and subsequent biofilm formation is highly desirable. In this paper, we report the optimization of the molecular structure and thus material properties of a range of (meth)acrylate copolymers which contain monomers reported to deliver Bacterial resistance to surfaces. This optimization allows such monomers to be employed within novel coatings to reduce Bacterial Attachment to silicone urinary catheters. We show that the flexibility of copolymers can be tuned to match that of the silicone catheter substrate, by copolymerizing these polymers with a lower Tg monomer such that it passes the flexing fatigue tests as coatings upon catheters, that the homopolymers failed. Furthermore, the Tg values of the copolymers are shown to be readily estimated by the Fox equation. The Bacterial resistance performance of these copolymers were typically found to be better than the neat silicone or a commercial silver containing hydrogel surface, when the monomer feed contained only 25 v% of the “hit” monomer. The method of initiation (either photo or thermal) was shown not to affect the Bacterial resistance of the copolymers. Optimized synthesis conditions to ensure that the correct copolymer composition and to prevent the onset of gelation are detailed
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Bacterial Attachment to polymeric materials correlates with molecular flexibility and hydrophilicity
Advanced Healthcare Materials, 2015Co-Authors: Olutoba Sanni, Daniel G. Anderson, Chien-yi Chang, Morgan R. Alexander, Martyn C Davies, Robert Langer, Paul Williams, Philip M Williams, Andrew L. HookAbstract:A new class of material resistant to Bacterial Attachment has been discovered that is formed from polyacrylates with hydrocarbon pendant groups. In this study, the relationship between the nature of the hydrocarbon moiety and resistance to bacteria is explored, comparing cyclic, aromatic, and linear chemical groups. A correlation is shown between Bacterial Attachment and a parameter derived from the partition coefficient and the number of rotatable bonds of the materials' pendant groups. This correlation is applicable to 86% of the hydrocarbon pendant moieties surveyed, quantitatively supporting the previous qualitative observation that bacteria are repelled from poly(meth)acrylates containing a hydrophilic ester group when the pendant group is both rigid and hydrophobic. This insight will help inform and predict the further development of polymers resistant to Bacterial Attachment.
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corrigendum combinatorial discovery of polymers resistant to Bacterial Attachment
Nature Biotechnology, 2014Co-Authors: Andrew L. Hook, Chien-yi Chang, Steve Atkinson, Jing Yang, Jeni Luckett, Alan Cockayne, Ying Mei, Roger Bayston, Derek J Irvine, Robert LangerAbstract:Nat. Biotechnol. 30, 868–875 (2012); published online 12 August 2012; corrected after print 9 May 2014 In the version of this article initially published, the label of the 6th sample across in Figure 5 should have read 4(100%), not B(100%). The error has been corrected in the HTML and PDF versions of the article.
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modelling and prediction of Bacterial Attachment to polymers
Advanced Functional Materials, 2014Co-Authors: Vidana Chandana Epa, Daniel G. Anderson, Andrew L. Hook, Chien-yi Chang, Morgan R. Alexander, Martyn C Davies, Robert Langer, Paul Williams, Jing Yang, David A WinklerAbstract:Infection by pathogenic bacteria on implanted and indwelling medical devices during surgery causes large morbidity and mortality worldwide. Attempts to ameliorate this important medical issue have included development of antimicrobial surfaces on materials, ‘no touch’ surgical procedures, and development of materials with inherent low pathogen Attachment. The search for new materials is increasingly being carried out by high throughput methods. Efficient methods for extracting knowledge from these large data sets are essential. We used data from a large polymer microarray exposed to three clinical pathogens to derive robust and predictive machine-learning models of pathogen Attachment. The models could predict pathogen Attachment for the polymer library quantitatively. The models also successfully predicted pathogen Attachment for a second-generation library, and identified polymer surface chemistries that enhance or diminish pathogen Attachment.
Chien-yi Chang - One of the best experts on this subject based on the ideXlab platform.
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Application of targeted molecular and material property optimization to Bacterial Attachment-resistant (meth)acrylate polymers
Biomacromolecules, 2016Co-Authors: Kevin Adlington, Chien-yi Chang, Nam T. Nguyen, Elizabeth Eaves, Jianing Li, Amy Stimpson, Alexandra L. Gower, Dustin Anderson, Jing Yang, Robert LangerAbstract:Developing medical devices that resist Bacterial Attachment and subsequent biofilm formation is highly desirable. In this paper, we report the optimization of the molecular structure and thus material properties of a range of (meth)acrylate copolymers which contain monomers reported to deliver Bacterial resistance to surfaces. This optimization allows such monomers to be employed within novel coatings to reduce Bacterial Attachment to silicone urinary catheters. We show that the flexibility of copolymers can be tuned to match that of the silicone catheter substrate, by copolymerizing these polymers with a lower Tg monomer such that it passes the flexing fatigue tests as coatings upon catheters, that the homopolymers failed. Furthermore, the Tg values of the copolymers are shown to be readily estimated by the Fox equation. The Bacterial resistance performance of these copolymers were typically found to be better than the neat silicone or a commercial silver containing hydrogel surface, when the monomer fee...
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Application of Targeted Molecular and Material Property Optimization to Bacterial Attachment-Resistant (Meth)acrylate Polymers
2016Co-Authors: Kevin Adlington, Chien-yi Chang, Nam T. Nguyen, Elizabeth Eaves, Amy Stimpson, Alexandra L. Gower, Jing Yang, Daniel G. Anderson, Robert LangerAbstract:Developing medical devices that resist Bacterial Attachment and subsequent biofilm formation is highly desirable. In this paper, we report the optimization of the molecular structure and thus material properties of a range of (meth)acrylate copolymers which contain monomers reported to deliver Bacterial resistance to surfaces. This optimization allows such monomers to be employed within novel coatings to reduce Bacterial Attachment to silicone urinary catheters. We show that the flexibility of copolymers can be tuned to match that of the silicone catheter substrate, by copolymerizing these polymers with a lower Tg monomer such that it passes the flexing fatigue tests as coatings upon catheters, that the homopolymers failed. Furthermore, the Tg values of the copolymers are shown to be readily estimated by the Fox equation. The Bacterial resistance performance of these copolymers were typically found to be better than the neat silicone or a commercial silver containing hydrogel surface, when the monomer feed contained only 25 v% of the “hit” monomer. The method of initiation (either photo or thermal) was shown not to affect the Bacterial resistance of the copolymers. Optimized synthesis conditions to ensure that the correct copolymer composition and to prevent the onset of gelation are detailed
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Application of Targeted Molecular and Material Property Optimization to Bacterial Attachment-Resistant (Meth)acrylate Polymers
'American Chemical Society (ACS)', 2016Co-Authors: Adlington Kevin, Chien-yi Chang, Nguyen, Nam T., Eaves Elizabeth, Yang Jing, Li Jianing, Gower, Alexandra L., Stimpson Amy, Anderson, Daniel G., Langer RobertAbstract:© 2016 American Chemical Society. Developing medical devices that resist Bacterial Attachment and subsequent biofilm formation is highly desirable. In this paper, we report the optimization of the molecular structure and thus material properties of a range of (meth)acrylate copolymers which contain monomers reported to deliver Bacterial resistance to surfaces. This optimization allows such monomers to be employed within novel coatings to reduce Bacterial Attachment to silicone urinary catheters. We show that the flexibility of copolymers can be tuned to match that of the silicone catheter substrate, by copolymerizing these polymers with a lower Tg monomer such that it passes the flexing fatigue tests as coatings upon catheters, that the homopolymers failed. Furthermore, the Tg values of the copolymers are shown to be readily estimated by the Fox equation. The Bacterial resistance performance of these copolymers were typically found to be better than the neat silicone or a commercial silver containing hydrogel surface, when the monomer feed contained only 25 v% of the "hit" monomer. The method of initiation (either photo or thermal) was shown not to affect the Bacterial resistance of the copolymers. Optimized synthesis conditions to ensure that the correct copolymer composition and to prevent the onset of gelation are detailed
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Bacterial Attachment to polymeric materials correlates with molecular flexibility and hydrophilicity
Advanced Healthcare Materials, 2015Co-Authors: Olutoba Sanni, Daniel G. Anderson, Chien-yi Chang, Morgan R. Alexander, Martyn C Davies, Robert Langer, Paul Williams, Philip M Williams, Andrew L. HookAbstract:A new class of material resistant to Bacterial Attachment has been discovered that is formed from polyacrylates with hydrocarbon pendant groups. In this study, the relationship between the nature of the hydrocarbon moiety and resistance to bacteria is explored, comparing cyclic, aromatic, and linear chemical groups. A correlation is shown between Bacterial Attachment and a parameter derived from the partition coefficient and the number of rotatable bonds of the materials' pendant groups. This correlation is applicable to 86% of the hydrocarbon pendant moieties surveyed, quantitatively supporting the previous qualitative observation that bacteria are repelled from poly(meth)acrylates containing a hydrophilic ester group when the pendant group is both rigid and hydrophobic. This insight will help inform and predict the further development of polymers resistant to Bacterial Attachment.
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corrigendum combinatorial discovery of polymers resistant to Bacterial Attachment
Nature Biotechnology, 2014Co-Authors: Andrew L. Hook, Chien-yi Chang, Steve Atkinson, Jing Yang, Jeni Luckett, Alan Cockayne, Ying Mei, Roger Bayston, Derek J Irvine, Robert LangerAbstract:Nat. Biotechnol. 30, 868–875 (2012); published online 12 August 2012; corrected after print 9 May 2014 In the version of this article initially published, the label of the 6th sample across in Figure 5 should have read 4(100%), not B(100%). The error has been corrected in the HTML and PDF versions of the article.
Morgan R. Alexander - One of the best experts on this subject based on the ideXlab platform.
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making silicone rubber highly resistant to Bacterial Attachment using thiol ene grafting
ACS Applied Materials & Interfaces, 2016Co-Authors: Eugene Peter Magennis, Andrew L. Hook, Paul Williams, Morgan R. AlexanderAbstract:Biomedical devices are indispensable in modern medicine yet offer surfaces that promote Bacterial Attachment and biofilm formation, resulting in acute and chronic healthcare-associated infections. We have developed a simple method to graft acrylates to silicone rubber, polydimethylsiloxane (PDMS), a commonly used device material that is often colonized by bacteria. We demonstrate a novel method whereby nontoxic bacteria Attachment-resistant polymers can be readily grafted from and grafted to the surface using thiol-ene chemistry, substantially reducing Bacterial colonization. With use of this approach, Bacterial biofilm coverage can be reduced by 99% compared with standard PDMS in an in vitro assay. This grafting approach offers significant advantages over commonly used physisorbed coatings, especially in areas of high shear or mechanical stress. Furthermore, the approach is versatile such that the grafted material properties can be tailored for the desired final application.
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engineering serendipity high throughput discovery of materials that resist Bacterial Attachment
Acta Biomaterialia, 2016Co-Authors: Eugene Peter Magennis, Andrew L. Hook, Martyn C Davies, Paul Williams, Cameron Alexander, Morgan R. AlexanderAbstract:Controlling the colonisation of materials by microorganisms is important in a wide range of industries and clinical settings. To date, the underlying mechanisms that govern the interactions of bacteria with material surfaces remain poorly understood, limiting the ab initio design and engineering of biomaterials to control Bacterial Attachment. Combinatorial approaches involving high-throughput screening have emerged as key tools for identifying materials to control Bacterial Attachment. The hundreds of different materials assessed using these methods can be carried out with the aid of computational modelling. This approach can develop an understanding of the rules used to predict Bacterial Attachment to surfaces of non-toxic synthetic materials. Here we outline our view on the state of this field and the challenges and opportunities in this area for the coming years.
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Bacterial Attachment to polymeric materials correlates with molecular flexibility and hydrophilicity
Advanced Healthcare Materials, 2015Co-Authors: Olutoba Sanni, Daniel G. Anderson, Chien-yi Chang, Morgan R. Alexander, Martyn C Davies, Robert Langer, Paul Williams, Philip M Williams, Andrew L. HookAbstract:A new class of material resistant to Bacterial Attachment has been discovered that is formed from polyacrylates with hydrocarbon pendant groups. In this study, the relationship between the nature of the hydrocarbon moiety and resistance to bacteria is explored, comparing cyclic, aromatic, and linear chemical groups. A correlation is shown between Bacterial Attachment and a parameter derived from the partition coefficient and the number of rotatable bonds of the materials' pendant groups. This correlation is applicable to 86% of the hydrocarbon pendant moieties surveyed, quantitatively supporting the previous qualitative observation that bacteria are repelled from poly(meth)acrylates containing a hydrophilic ester group when the pendant group is both rigid and hydrophobic. This insight will help inform and predict the further development of polymers resistant to Bacterial Attachment.
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modelling and prediction of Bacterial Attachment to polymers
Advanced Functional Materials, 2014Co-Authors: Vidana Chandana Epa, Daniel G. Anderson, Andrew L. Hook, Chien-yi Chang, Morgan R. Alexander, Martyn C Davies, Robert Langer, Paul Williams, Jing Yang, David A WinklerAbstract:Infection by pathogenic bacteria on implanted and indwelling medical devices during surgery causes large morbidity and mortality worldwide. Attempts to ameliorate this important medical issue have included development of antimicrobial surfaces on materials, ‘no touch’ surgical procedures, and development of materials with inherent low pathogen Attachment. The search for new materials is increasingly being carried out by high throughput methods. Efficient methods for extracting knowledge from these large data sets are essential. We used data from a large polymer microarray exposed to three clinical pathogens to derive robust and predictive machine-learning models of pathogen Attachment. The models could predict pathogen Attachment for the polymer library quantitatively. The models also successfully predicted pathogen Attachment for a second-generation library, and identified polymer surface chemistries that enhance or diminish pathogen Attachment.
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Discovery of novel materials with broad resistance to Bacterial Attachment using combinatorial polymer microarrays
Advanced Materials, 2013Co-Authors: Andrew L. Hook, Daniel G. Anderson, Chien-yi Chang, Steve Atkinson, Martyn C Davies, Robert Langer, Paul Williams, Jing Yang, Morgan R. AlexanderAbstract:A new class of bacteria-Attachment-resistant materials is discovered using a multi-generation polymer microarray methodology that reduces Bacterial Attachment by up to 99.3% compared with a leading commercially available silver hydrogel anti-Bacterial material. The coverage of three Bacterial species, Pseudomonas aeruginosa, Staphylococcus aureus, and uropathogenic Escherichia coli is assessed.
Andrew L. Hook - One of the best experts on this subject based on the ideXlab platform.
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making silicone rubber highly resistant to Bacterial Attachment using thiol ene grafting
ACS Applied Materials & Interfaces, 2016Co-Authors: Eugene Peter Magennis, Andrew L. Hook, Paul Williams, Morgan R. AlexanderAbstract:Biomedical devices are indispensable in modern medicine yet offer surfaces that promote Bacterial Attachment and biofilm formation, resulting in acute and chronic healthcare-associated infections. We have developed a simple method to graft acrylates to silicone rubber, polydimethylsiloxane (PDMS), a commonly used device material that is often colonized by bacteria. We demonstrate a novel method whereby nontoxic bacteria Attachment-resistant polymers can be readily grafted from and grafted to the surface using thiol-ene chemistry, substantially reducing Bacterial colonization. With use of this approach, Bacterial biofilm coverage can be reduced by 99% compared with standard PDMS in an in vitro assay. This grafting approach offers significant advantages over commonly used physisorbed coatings, especially in areas of high shear or mechanical stress. Furthermore, the approach is versatile such that the grafted material properties can be tailored for the desired final application.
-
engineering serendipity high throughput discovery of materials that resist Bacterial Attachment
Acta Biomaterialia, 2016Co-Authors: Eugene Peter Magennis, Andrew L. Hook, Martyn C Davies, Paul Williams, Cameron Alexander, Morgan R. AlexanderAbstract:Controlling the colonisation of materials by microorganisms is important in a wide range of industries and clinical settings. To date, the underlying mechanisms that govern the interactions of bacteria with material surfaces remain poorly understood, limiting the ab initio design and engineering of biomaterials to control Bacterial Attachment. Combinatorial approaches involving high-throughput screening have emerged as key tools for identifying materials to control Bacterial Attachment. The hundreds of different materials assessed using these methods can be carried out with the aid of computational modelling. This approach can develop an understanding of the rules used to predict Bacterial Attachment to surfaces of non-toxic synthetic materials. Here we outline our view on the state of this field and the challenges and opportunities in this area for the coming years.
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Bacterial Attachment to polymeric materials correlates with molecular flexibility and hydrophilicity
Advanced Healthcare Materials, 2015Co-Authors: Olutoba Sanni, Daniel G. Anderson, Chien-yi Chang, Morgan R. Alexander, Martyn C Davies, Robert Langer, Paul Williams, Philip M Williams, Andrew L. HookAbstract:A new class of material resistant to Bacterial Attachment has been discovered that is formed from polyacrylates with hydrocarbon pendant groups. In this study, the relationship between the nature of the hydrocarbon moiety and resistance to bacteria is explored, comparing cyclic, aromatic, and linear chemical groups. A correlation is shown between Bacterial Attachment and a parameter derived from the partition coefficient and the number of rotatable bonds of the materials' pendant groups. This correlation is applicable to 86% of the hydrocarbon pendant moieties surveyed, quantitatively supporting the previous qualitative observation that bacteria are repelled from poly(meth)acrylates containing a hydrophilic ester group when the pendant group is both rigid and hydrophobic. This insight will help inform and predict the further development of polymers resistant to Bacterial Attachment.
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corrigendum combinatorial discovery of polymers resistant to Bacterial Attachment
Nature Biotechnology, 2014Co-Authors: Andrew L. Hook, Chien-yi Chang, Steve Atkinson, Jing Yang, Jeni Luckett, Alan Cockayne, Ying Mei, Roger Bayston, Derek J Irvine, Robert LangerAbstract:Nat. Biotechnol. 30, 868–875 (2012); published online 12 August 2012; corrected after print 9 May 2014 In the version of this article initially published, the label of the 6th sample across in Figure 5 should have read 4(100%), not B(100%). The error has been corrected in the HTML and PDF versions of the article.
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modelling and prediction of Bacterial Attachment to polymers
Advanced Functional Materials, 2014Co-Authors: Vidana Chandana Epa, Daniel G. Anderson, Andrew L. Hook, Chien-yi Chang, Morgan R. Alexander, Martyn C Davies, Robert Langer, Paul Williams, Jing Yang, David A WinklerAbstract:Infection by pathogenic bacteria on implanted and indwelling medical devices during surgery causes large morbidity and mortality worldwide. Attempts to ameliorate this important medical issue have included development of antimicrobial surfaces on materials, ‘no touch’ surgical procedures, and development of materials with inherent low pathogen Attachment. The search for new materials is increasingly being carried out by high throughput methods. Efficient methods for extracting knowledge from these large data sets are essential. We used data from a large polymer microarray exposed to three clinical pathogens to derive robust and predictive machine-learning models of pathogen Attachment. The models could predict pathogen Attachment for the polymer library quantitatively. The models also successfully predicted pathogen Attachment for a second-generation library, and identified polymer surface chemistries that enhance or diminish pathogen Attachment.
Jing Yang - One of the best experts on this subject based on the ideXlab platform.
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Application of targeted molecular and material property optimization to Bacterial Attachment-resistant (meth)acrylate polymers
Biomacromolecules, 2016Co-Authors: Kevin Adlington, Chien-yi Chang, Nam T. Nguyen, Elizabeth Eaves, Jianing Li, Amy Stimpson, Alexandra L. Gower, Dustin Anderson, Jing Yang, Robert LangerAbstract:Developing medical devices that resist Bacterial Attachment and subsequent biofilm formation is highly desirable. In this paper, we report the optimization of the molecular structure and thus material properties of a range of (meth)acrylate copolymers which contain monomers reported to deliver Bacterial resistance to surfaces. This optimization allows such monomers to be employed within novel coatings to reduce Bacterial Attachment to silicone urinary catheters. We show that the flexibility of copolymers can be tuned to match that of the silicone catheter substrate, by copolymerizing these polymers with a lower Tg monomer such that it passes the flexing fatigue tests as coatings upon catheters, that the homopolymers failed. Furthermore, the Tg values of the copolymers are shown to be readily estimated by the Fox equation. The Bacterial resistance performance of these copolymers were typically found to be better than the neat silicone or a commercial silver containing hydrogel surface, when the monomer fee...
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Application of Targeted Molecular and Material Property Optimization to Bacterial Attachment-Resistant (Meth)acrylate Polymers
2016Co-Authors: Kevin Adlington, Chien-yi Chang, Nam T. Nguyen, Elizabeth Eaves, Amy Stimpson, Alexandra L. Gower, Jing Yang, Daniel G. Anderson, Robert LangerAbstract:Developing medical devices that resist Bacterial Attachment and subsequent biofilm formation is highly desirable. In this paper, we report the optimization of the molecular structure and thus material properties of a range of (meth)acrylate copolymers which contain monomers reported to deliver Bacterial resistance to surfaces. This optimization allows such monomers to be employed within novel coatings to reduce Bacterial Attachment to silicone urinary catheters. We show that the flexibility of copolymers can be tuned to match that of the silicone catheter substrate, by copolymerizing these polymers with a lower Tg monomer such that it passes the flexing fatigue tests as coatings upon catheters, that the homopolymers failed. Furthermore, the Tg values of the copolymers are shown to be readily estimated by the Fox equation. The Bacterial resistance performance of these copolymers were typically found to be better than the neat silicone or a commercial silver containing hydrogel surface, when the monomer feed contained only 25 v% of the “hit” monomer. The method of initiation (either photo or thermal) was shown not to affect the Bacterial resistance of the copolymers. Optimized synthesis conditions to ensure that the correct copolymer composition and to prevent the onset of gelation are detailed
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corrigendum combinatorial discovery of polymers resistant to Bacterial Attachment
Nature Biotechnology, 2014Co-Authors: Andrew L. Hook, Chien-yi Chang, Steve Atkinson, Jing Yang, Jeni Luckett, Alan Cockayne, Ying Mei, Roger Bayston, Derek J Irvine, Robert LangerAbstract:Nat. Biotechnol. 30, 868–875 (2012); published online 12 August 2012; corrected after print 9 May 2014 In the version of this article initially published, the label of the 6th sample across in Figure 5 should have read 4(100%), not B(100%). The error has been corrected in the HTML and PDF versions of the article.
-
modelling and prediction of Bacterial Attachment to polymers
Advanced Functional Materials, 2014Co-Authors: Vidana Chandana Epa, Daniel G. Anderson, Andrew L. Hook, Chien-yi Chang, Morgan R. Alexander, Martyn C Davies, Robert Langer, Paul Williams, Jing Yang, David A WinklerAbstract:Infection by pathogenic bacteria on implanted and indwelling medical devices during surgery causes large morbidity and mortality worldwide. Attempts to ameliorate this important medical issue have included development of antimicrobial surfaces on materials, ‘no touch’ surgical procedures, and development of materials with inherent low pathogen Attachment. The search for new materials is increasingly being carried out by high throughput methods. Efficient methods for extracting knowledge from these large data sets are essential. We used data from a large polymer microarray exposed to three clinical pathogens to derive robust and predictive machine-learning models of pathogen Attachment. The models could predict pathogen Attachment for the polymer library quantitatively. The models also successfully predicted pathogen Attachment for a second-generation library, and identified polymer surface chemistries that enhance or diminish pathogen Attachment.
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Discovery of novel materials with broad resistance to Bacterial Attachment using combinatorial polymer microarrays
Advanced Materials, 2013Co-Authors: Andrew L. Hook, Daniel G. Anderson, Chien-yi Chang, Steve Atkinson, Martyn C Davies, Robert Langer, Paul Williams, Jing Yang, Morgan R. AlexanderAbstract:A new class of bacteria-Attachment-resistant materials is discovered using a multi-generation polymer microarray methodology that reduces Bacterial Attachment by up to 99.3% compared with a leading commercially available silver hydrogel anti-Bacterial material. The coverage of three Bacterial species, Pseudomonas aeruginosa, Staphylococcus aureus, and uropathogenic Escherichia coli is assessed.