Panagiotis Mougkogiannis*, and , Andrew Adamatzky,
{"title":"磁性纳米颗粒对类蛋白电脉冲活性的调节","authors":"Panagiotis Mougkogiannis*, and , Andrew Adamatzky, ","doi":"10.1021/acs.langmuir.5c0093210.1021/acs.langmuir.5c00932","DOIUrl":null,"url":null,"abstract":"<p >This study looks at how proteinoid microspheres and their magnetic polystyrene (PS) hybrids behave electrochemically. It also explores their computational abilities. These systems show complex membrane potential dynamics. Pure proteinoids spike without external influence, ranging from 5.39 to 9.81 mV. In contrast, PS-modified variants exhibit sinusoidal oscillations. Their behavior can be described by the equation <i>V</i>(<i>t</i>) = <i>A</i> sin(2π<i>ft</i>) + <i>V</i><sub>offset</sub>, where <i>A</i> is about 1.5 mV and <i>f</i> is around 0.05 Hz. Electrochemical impedance spectroscopy shows key differences in charge transport. The PS-modified systems have better conductivity: |<i>Z</i>|<sub>PS</sub> = 7.22 × 10<sup>4</sup> Ω compared to |<i>Z</i>|<sub>prot</sub> = 2.03 × 10<sup>5</sup> Ω. The systems can perform Boolean logic operations with a 5 mV threshold. They show time-dependent gate behavior, making them suitable for unconventional computing applications. Doping with Fe(NO<sub>3</sub>)<sub>3</sub> changes the electrical response. This happens through redox processes where Fe<sup>3+</sup> gains an electron to become Fe<sup>2+</sup>. As a result, there are greater potential differences and more complex timing behaviors. These findings help us understand proteinoid-based bioelectricity better. They also show how these building blocks can be used in biomolecular computing systems.</p>","PeriodicalId":50,"journal":{"name":"Langmuir","volume":"41 22","pages":"13974–13992 13974–13992"},"PeriodicalIF":3.9000,"publicationDate":"2025-05-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.acs.org/doi/epdf/10.1021/acs.langmuir.5c00932","citationCount":"0","resultStr":"{\"title\":\"Modulation of Proteinoid Electrical Spiking Activity with Magnetic Nanoparticles\",\"authors\":\"Panagiotis Mougkogiannis*, and , Andrew Adamatzky, \",\"doi\":\"10.1021/acs.langmuir.5c0093210.1021/acs.langmuir.5c00932\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >This study looks at how proteinoid microspheres and their magnetic polystyrene (PS) hybrids behave electrochemically. It also explores their computational abilities. These systems show complex membrane potential dynamics. Pure proteinoids spike without external influence, ranging from 5.39 to 9.81 mV. In contrast, PS-modified variants exhibit sinusoidal oscillations. Their behavior can be described by the equation <i>V</i>(<i>t</i>) = <i>A</i> sin(2π<i>ft</i>) + <i>V</i><sub>offset</sub>, where <i>A</i> is about 1.5 mV and <i>f</i> is around 0.05 Hz. Electrochemical impedance spectroscopy shows key differences in charge transport. The PS-modified systems have better conductivity: |<i>Z</i>|<sub>PS</sub> = 7.22 × 10<sup>4</sup> Ω compared to |<i>Z</i>|<sub>prot</sub> = 2.03 × 10<sup>5</sup> Ω. The systems can perform Boolean logic operations with a 5 mV threshold. They show time-dependent gate behavior, making them suitable for unconventional computing applications. Doping with Fe(NO<sub>3</sub>)<sub>3</sub> changes the electrical response. This happens through redox processes where Fe<sup>3+</sup> gains an electron to become Fe<sup>2+</sup>. As a result, there are greater potential differences and more complex timing behaviors. These findings help us understand proteinoid-based bioelectricity better. They also show how these building blocks can be used in biomolecular computing systems.</p>\",\"PeriodicalId\":50,\"journal\":{\"name\":\"Langmuir\",\"volume\":\"41 22\",\"pages\":\"13974–13992 13974–13992\"},\"PeriodicalIF\":3.9000,\"publicationDate\":\"2025-05-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://pubs.acs.org/doi/epdf/10.1021/acs.langmuir.5c00932\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Langmuir\",\"FirstCategoryId\":\"92\",\"ListUrlMain\":\"https://pubs.acs.org/doi/10.1021/acs.langmuir.5c00932\",\"RegionNum\":2,\"RegionCategory\":\"化学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"CHEMISTRY, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Langmuir","FirstCategoryId":"92","ListUrlMain":"https://pubs.acs.org/doi/10.1021/acs.langmuir.5c00932","RegionNum":2,"RegionCategory":"化学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"CHEMISTRY, MULTIDISCIPLINARY","Score":null,"Total":0}
Modulation of Proteinoid Electrical Spiking Activity with Magnetic Nanoparticles
This study looks at how proteinoid microspheres and their magnetic polystyrene (PS) hybrids behave electrochemically. It also explores their computational abilities. These systems show complex membrane potential dynamics. Pure proteinoids spike without external influence, ranging from 5.39 to 9.81 mV. In contrast, PS-modified variants exhibit sinusoidal oscillations. Their behavior can be described by the equation V(t) = A sin(2πft) + Voffset, where A is about 1.5 mV and f is around 0.05 Hz. Electrochemical impedance spectroscopy shows key differences in charge transport. The PS-modified systems have better conductivity: |Z|PS = 7.22 × 104 Ω compared to |Z|prot = 2.03 × 105 Ω. The systems can perform Boolean logic operations with a 5 mV threshold. They show time-dependent gate behavior, making them suitable for unconventional computing applications. Doping with Fe(NO3)3 changes the electrical response. This happens through redox processes where Fe3+ gains an electron to become Fe2+. As a result, there are greater potential differences and more complex timing behaviors. These findings help us understand proteinoid-based bioelectricity better. They also show how these building blocks can be used in biomolecular computing systems.
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).