Gabriel Sánchez-Velázquez, Duc Thinh Khong, Minkyung Park, Xiaojia Jin, Zhe Yuan, Xun Gong, Mervin Chun-Yi Ang and Michael S. Strano*,
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We use MPA to evaluate 20 new carbon nanotube (CNT) corona phases and further analyze five previously studied constructs that have been used as nanosensors. We find that polymer stiffness, measured by its persistence length, correlates with corona phase CNT surface coverage, providing a new design criterion. We also establish a structure–property relationship linking MPA-derived surface area to probe adsorption parameters, noting that single-stranded DNA and high-molecular-weight polymers exhibit differing probe–corona interactions, with binding affinities varying by a factor of nearly 2.7. MPA-derived surface areas are shown to complement molecular-dynamics/thermodynamic calculations to predict binding affinities for 42 phytohormones entirely in silico, providing a means to screen corona phases virtually. In this way, MPA is shown to be a predictive design tool for nanoparticle and nanosensor applications.</p>","PeriodicalId":50,"journal":{"name":"Langmuir","volume":"41 27","pages":"17602–17614"},"PeriodicalIF":3.9000,"publicationDate":"2025-07-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Using Molecular Probe Adsorption to Characterize the Nanoparticle Corona Phase and Molecular Recognition\",\"authors\":\"Gabriel Sánchez-Velázquez, Duc Thinh Khong, Minkyung Park, Xiaojia Jin, Zhe Yuan, Xun Gong, Mervin Chun-Yi Ang and Michael S. Strano*, \",\"doi\":\"10.1021/acs.langmuir.5c01222\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >The nanoparticle corona─a molecular layer adsorbed on nanoparticle surfaces─is critical for controlling molecular interactions and enabling applications in catalysis, nanoparticle separations, and sensing technologies. 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We also establish a structure–property relationship linking MPA-derived surface area to probe adsorption parameters, noting that single-stranded DNA and high-molecular-weight polymers exhibit differing probe–corona interactions, with binding affinities varying by a factor of nearly 2.7. MPA-derived surface areas are shown to complement molecular-dynamics/thermodynamic calculations to predict binding affinities for 42 phytohormones entirely in silico, providing a means to screen corona phases virtually. 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Using Molecular Probe Adsorption to Characterize the Nanoparticle Corona Phase and Molecular Recognition
The nanoparticle corona─a molecular layer adsorbed on nanoparticle surfaces─is critical for controlling molecular interactions and enabling applications in catalysis, nanoparticle separations, and sensing technologies. However, to date, characterizing the adsorbed surface area occupied by the corona phase has been difficult and not accessible with conventional particle sizing methods. Herein, we advance the technique of molecular probe adsorption (MPA) to measure this surface area by applying it to a large number of data sets. MPA employs a fluorescent probe that is quenched on adsorption to the nanoparticle surface to quantify the solvent-exposed surface area. We use MPA to evaluate 20 new carbon nanotube (CNT) corona phases and further analyze five previously studied constructs that have been used as nanosensors. We find that polymer stiffness, measured by its persistence length, correlates with corona phase CNT surface coverage, providing a new design criterion. We also establish a structure–property relationship linking MPA-derived surface area to probe adsorption parameters, noting that single-stranded DNA and high-molecular-weight polymers exhibit differing probe–corona interactions, with binding affinities varying by a factor of nearly 2.7. MPA-derived surface areas are shown to complement molecular-dynamics/thermodynamic calculations to predict binding affinities for 42 phytohormones entirely in silico, providing a means to screen corona phases virtually. In this way, MPA is shown to be a predictive design tool for nanoparticle and nanosensor applications.
期刊介绍:
Langmuir is an interdisciplinary journal publishing articles in the following subject categories:
Colloids: surfactants and self-assembly, dispersions, emulsions, foams
Interfaces: adsorption, reactions, films, forces
Biological Interfaces: biocolloids, biomolecular and biomimetic materials
Materials: nano- and mesostructured materials, polymers, gels, liquid crystals
Electrochemistry: interfacial charge transfer, charge transport, electrocatalysis, electrokinetic phenomena, bioelectrochemistry
Devices and Applications: sensors, fluidics, patterning, catalysis, photonic crystals
However, when high-impact, original work is submitted that does not fit within the above categories, decisions to accept or decline such papers will be based on one criteria: What Would Irving Do?
Langmuir ranks #2 in citations out of 136 journals in the category of Physical Chemistry with 113,157 total citations. The journal received an Impact Factor of 4.384*.
This journal is also indexed in the categories of Materials Science (ranked #1) and Multidisciplinary Chemistry (ranked #5).