Dataset Information

Polydimethylsiloxane Elastomers Filled with Rod-Like ?-MnO₂ Nanoparticles: An Interplay of Structure and Electrorheological Performance.

ABSTRACT: For the first time, electroactive nanocomposite elastomers based on polydimethylsiloxane and filled with rod-like ?-MnO₂ nanoparticles have been obtained. The curing of the filled elastomer in an electric field, resulting in the ordering of the ?-MnO₂ particles, had a significant effect on the degree of polymer crosslinking, as well as on the electrorheological characteristics of the nanocomposites obtained through this process, namely the values of the storage and loss moduli. The dielectric spectra of filled elastomers in the frequency range 25-10⁶ Hz were analysed in terms of interfacial relaxation processes. It has been shown, for the first time, that the application of an electric field leads to a decrease in the value of the Payne effect in composite elastomers. Analysis of the rheological effect in the obtained materials has demonstrated the possibility of designing highly efficient electrorheological elastomers that change their elastic properties by 4.3 times in electric fields of up to 2 kV/mm.

SUBMITTER: Agafonov AV

PROVIDER: S-EPMC7759881 | biostudies-literature | 2020 Nov

REPOSITORIES: biostudies-literature

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Polydimethylsiloxane Elastomers Filled with Rod-Like α-MnO2 Nanoparticles: An Interplay of Structure and Electrorheological Performance.

Agafonov Alexander V AV Kraev Anton S AS Egorova Anastasia A AA Baranchikov Alexander E AE Kozyukhin Sergey A SA Ivanov Vladimir K VK

Polymers 20201127 12

For the first time, electroactive nanocomposite elastomers based on polydimethylsiloxane and filled with rod-like α-MnO2 nanoparticles have been obtained. The curing of the filled elastomer in an electric field, resulting in the ordering of the α-MnO2 particles, had a significant effect on the degree of polymer crosslinking, as well as on the electrorheological characteristics of the nanocomposites obtained through this process, namely the values of the storage and loss mod ...[more]

PMID: 33260930

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Project description:Soft and pliable conductive polymer composites hold promise for application as bioelectronic interfaces such as for electroencephalography (EEG). In clinical, laboratory, and real-world EEG there is a desire for dry, soft, and comfortable interfaces to the scalp that are capable of relaying the μV-level scalp potentials to signal processing electronics. A key challenge is that most material approaches are sensitive to deformation-induced shifts in electrical impedance associated with decreased signal-to-noise ratio. This is a particular concern in real-world environments where human motion is present. The entire set of brain information outside of tightly controlled laboratory or clinical settings are currently unobtainable due to this challenge. Here we explore the performance of an elastomeric material solution purposefully designed for dry, soft, comfortable scalp contact electrodes for EEG that is specifically targeted to have flat electrical impedance response to deformation to enable utilization in real world environments. A conductive carbon nanofiber filled polydimethylsiloxane (CNF-PDMS) elastomer was evaluated at three fill ratios (3, 4 and 7 volume percent). Electromechanical testing data is presented showing the influence of large compressive deformations on electrical impedance as well as the impact of filler loading on the elastomer stiffness. To evaluate usability for EEG, pre-recorded human EEG signals were replayed through the contact electrodes subjected to quasi-static compressive strains between zero and 35%. These tests show that conductive filler ratios well above the electrical percolation threshold are desirable in order to maximize signal-to-noise ratio and signal correlation with an ideal baseline. Increasing fill ratios yield increasingly flat electrical impedance response to large applied compressive deformations with a trade in increased material stiffness, and with nominal electrical impedance tunable over greater than 4 orders of magnitude. EEG performance was independent of filler loading above 4 vol % CNF (< 103 ohms).

Dataset Information

Polydimethylsiloxane Elastomers Filled with Rod-Like ?-MnO₂ Nanoparticles: An Interplay of Structure and Electrorheological Performance.

Publications

Polydimethylsiloxane Elastomers Filled with Rod-Like α-MnO<sub>2</sub> Nanoparticles: An Interplay of Structure and Electrorheological Performance.

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Dataset Information

Polydimethylsiloxane Elastomers Filled with Rod-Like ?-MnO2 Nanoparticles: An Interplay of Structure and Electrorheological Performance.

Publications

Polydimethylsiloxane Elastomers Filled with Rod-Like α-MnO<sub>2</sub> Nanoparticles: An Interplay of Structure and Electrorheological Performance.

Similar Datasets

OmicsDI is part of the ELIXIR infrastructure

Tweets

Polydimethylsiloxane Elastomers Filled with Rod-Like ?-MnO₂ Nanoparticles: An Interplay of Structure and Electrorheological Performance.