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11 results for “organic electrochemical transistors”

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zenodo44/100

Dataset for 'Organic Electrochemical Transistors Printed from Degradable Materials as Disposable Biochemical Sensors'

<p>This data set contains the data collected during the FNS project Green Piezo (Grant no. 179064) in association with the publication entitled &ldquo;Organic Electrochemical Transistors Printed from Degradable Materials as Disposable Biochemical Sensors&rdquo;.</p> <p>This work aims to study the fabrication of organic electrochemical transistors using more environmentally-friendly materials, in particular carbon contacts and polylactic acid (PLA) as substrate. Organic electrochemical transistors (or OECTs) offer applications in biosensing, for example for point-of-care devices. We use a combination of additive manufacturing methods (screen printing and inkjet printing) to manufacture these transistors and solve the issues with fabricating them on a low-temperature substrate such as PLA. We also assess these transistors as disposable sensors for the detection of various ion concentrations as well as glucose. The data that was collected in the frame of this work is present in this repository. More information about the contents of the dataset is present in the included README files.</p>

opencc-by-4.0Aug 2023View details →
zenodo40/100

Organic electrochemical transistor aptasensor for interleukin-6 detection

<p>Explanation of included data for following publication:</p><p>-------------------------------------------------------------------------------------</p><p><strong>Organic electrochemical transistor aptasensor for interleukin-6 detection</strong></p><p>Chiara Diacci (1,2), Bernhard Burtscher (1), Marcello Berto (2), Tero Petri Ruoko (1), Samuel Lienemann (1), Pierpaolo Greco (3,4), Magnus Berggren (1), Marco Borsari (5), Daniel T. Simon (1), Carlo A. Bortolotti (2), Fabio Biscarini (2,4)</p><p>&nbsp;</p><p>1) Laboratory of Organic Electronics, Department of Science and Technology, ITN, Linköping University, 601 74, Norrköping, Sweden.</p><p>2) Dipartimento di Scienze della Vita, Università di Modena e Reggio Emilia, via Campi 103, 41125 Modena, Italy.</p><p>3) Department of Neuroscience and Rehabilitation, Università di Ferrara, Via &nbsp;Borsari 46, 44121 Ferrara, Italy.</p><p>4) Center for Translational Neurophysiology of Speech and Communication, Istituto Italiano di Tecnologia, via Fossato di Mortara 17-193, 44100 Ferrara, Italy.</p><p>5) Dipartimento di Scienze Chimiche e Geologiche, Università di Modena e Reggio Emilia, via Campi 103, 41125 Modena, Italy.</p><p>-------------------------------------------------------------------------------------</p><p><strong>Manuscript</strong></p><p>&nbsp;</p><p>Figure 2:</p><ul><li>SEM pictures</li></ul><p>&nbsp;</p><p>Figure 3:</p><ul><li>CV for aptamer deposition (Time, Voltage, Current) in 1µM aptamer solution from 0V to -1V, 50mV/s for 30 cycles</li><li>Impedance data for AuNP/PEDOT:PSS electrode (before aptamer deposition) and after aptamer deposition (Aptamer/AuNP/PEDOT:PSS); (Freq/Hz, Re(Z)/Ohm, -Im(Z)/Ohm, |Z|/Ohm, Phase/deg) in ferricyanide 5mM</li></ul><p>&nbsp;</p><p>Figure 4: Fluorescent images (LSM, as czi format) for</p><ul><li>4a: AuNP/PEDOT:PSS (no Cy3-tag, control)</li><li>4b: Cy3-aptamer/AuNP/PEDOT:PSS (sample)</li><li>4c: Cy3-aptamer/PEDOT:PSS (no AuNP, control)</li></ul><p>&nbsp;</p><p>Figure 5: Data sets of transfer curves for multiple OECTs for various concentrations of IL6/TNF</p><ul><li>One sheet refers to one OECT sample with either IL6 or TNF</li><li>The first coloumn indicates the gate voltage and the others the drain current with various concentration except the second column (Tween) with is without any analyte</li><li>VDS = -0.3V</li><li>VGS swept from 0 to 0.6V</li></ul><p>&nbsp;</p><p>&nbsp;</p><p>&nbsp;</p><p>Supporting Information:</p><p>&nbsp;</p><p>Figure S1: AuNP/PEDOT:PSS electrical characteristics</p><ul><li>S1a: CV in 5mM ferricyanide from -0.5V to 0.5V at 50mV/s</li><li>S1b: Transconductance for bare Au, PEDOT:PSS in PBS 10mM</li><li>S1c: Transfer curves in PBS 10mM</li></ul><p>&nbsp;</p><p>Figure S2: FTIR-ATR measurements</p><ul><li>Raw exported files from the FTIR (Au+PEDOT, Au+DNA, Au+PEDOT+NP, Au+PEDOT+NP+DNA) as txt file.</li><li>For Au+DNA the normalized with the maximum and for the others the 1010cm-1 peak used for normalization. This is shown in the ATR.xlsx file.</li></ul><p>&nbsp;</p><p>Figure S3: IL6 detection on AuNP/PEDOT:PSS gate</p><ul><li>Transfer Charasteristics of the AuNP/PEDOT:PSS electrode with increasing IL6 concentration with VDS=-0.3V and VGS from 0V to 0.6V</li></ul><p>&nbsp;</p><p>Figure S4: Transconductance of OECT based aptasensor</p><ul><li>Datasets used for S4 are identical with the ones from Figure 5</li></ul><p>&nbsp;</p><p>Figure S5: Impedance of functionalized device with IL6</p><ul><li>Each sheet is for a IL6 concentration. The normalized OECT concentration is the same as in Figure 5.</li></ul>

opencc-by-4.0Nov 2023View details →
zenodo40/100

Dataset of "Switching Response in Organic Electrochemical Transistors by Ionic Diffusion and Electronic Transport"

<p>This dataset underpins the following article published in the Advanced Science:</p> <p>"Switching Response in Organic Electrochemical Transistors by Ionic Diffusion and Electronic Transport"</p> <p>&nbsp;</p> <p>Raw and processed data for the article "Switching Response in Organic Electrochemical Transistors by Ionic Diffusion and Electronic Transport". For further details see the readme.txt file.</p>

opencc-by-4.0Apr 2024View details →
zenodo40/100

Functionalization of PEDOT:PSS for aptamer-based sensing of IL6 using organic electrochemical transistors

<div>Explanation of included data for following publication:</div> <div>-------------------------------------------------------------------------------------</div> <div>&nbsp;</div> <div>Functionalization of PEDOT:PSS for aptamer-based sensing of IL6 using organic electrochemical transistors</div> <div> <div>DOI:&nbsp;10.1038/s44328-024-00007-w</div> </div> <div>&nbsp;</div> <div>Bernhard Burtscher (1), Chiara Diacci (1), Anatolii Makhinia (1,2), Marios Savvakis (1), Erik O Gabrielsson (1), Lothar Veith (3), Xianjie Liu (1), Xenofon Strakosas (1), Daniel T Simon (1)</div> <div>&nbsp;</div> <div>1. Laboratory of Organic Electronics, Department of Science and Technology, Link&ouml;ping University, 60174 Norrk&ouml;ping, Sweden</div> <div>2. RISE Research Institutes of Sweden, Digital Systems, Smart, Hardware, Printed, Bio- and Organic Electronics, 60221 Norrk&ouml;ping, Sweden</div> <div>3. Max Planck Institute for Polymer Research, Ackermannweg 10, 55128 Mainz, Germany</div> <div>&nbsp;</div> <div>-------------------------------------------------------------------------------------</div> <div>The data is structured according to the first figure they appear in the manuscript.</div> <div>&nbsp;</div> <div>Figure 2:</div> <div>a) Transfer curves data as .txt at various stages of the functionalization process with information of</div> <div>(Time / s; Gate Voltage / V; Drain Voltage / V; Drain Current / A; Gate Current / A; VR (measured voltage at the reference electrode) / V)</div> <div>1) PEDOT:PSS</div> <div>2) 4-ABA + PEDOT:PSS</div> <div>3) Aptamer + 4-ABA + PEDOT:PSS</div> <div>&nbsp;</div> <div>b) Measurement data of constant sensing experiments of either IL6 (6 meas.), BSA (3 meas.) or a control without aptamers (4ABA-ETA_Control_IL6-measurement) with explanation of when analyte was changed to which concentration.</div> <div>&nbsp;</div> <div>c) Data of constant measurement of fully functionalized OECT in bovine plasma after incubation over night in bovine plasma and information regarding time and concentration of changes</div> <div>&nbsp;</div> <div>&nbsp;</div> <div>Figure 3: Raw image files of fluorescent test of AL4083 PEDOT:PSS formulation with PLL-FITC as .nd2 files:</div> <div>- 0.25% Gops with PLL-FITC (name: AL4083-Gops025_sample5_PLLFITC_FITC)</div> <div>- 0.25% Gops without PLL-FITC (name: AL4083-Gops025_sample3_4ABA_noPLLFITC_FITC_5s)</div> <div>- 1% Gops and 1% PSS with PLL-FITC (name: AL4083-Gops1_PSS1_sample4_PLLFITC_FITC)</div> <div>- 1% Gops and 1% PSS without PLL-FITC (name: AL4083-Gops1_PSS1_sample3_4ABA_noPLLFITC_FITC_5s)</div> <div>&nbsp;</div> <div>&nbsp;</div> <div>Figure 4: Frequency dependent OECT measurements of IL6 with PBS and different concentration of IL6. Each folder contains the nominal applied voltage (as .csv file) and the measurement voltage (in V) from the DAQ (as .tdms file in the ao1 column for each frequency). Data can then be processed with Python to fit the sine wave for each frequency to observe changes in the amplitude and phase.</div> <div>&nbsp;</div> <div>Figure 5: Data taken from Figure 2b and Figure 4</div>

opencc-by-4.0Jun 2024View details →
zenodo40/100

Dataset of "Transient current responses of organic electrochemical transistors by vertical ionic diffusion and electrolyte resistance"

<p>This dataset supports the article&nbsp;</p> <p>"<span>Transient current responses of organic electrochemical transistors by vertical ionic diffusion and electrolyte resistance</span>"</p> <p>&nbsp;</p> <p>Raw data for the article "<span>Transient current responses of organic electrochemical transistors by vertical ionic diffusion and electrolyte resistance</span>". For further details see the readme.txt file.</p>

opencc-by-4.0Aug 2024View details →
zenodo40/100

Dataset of "Using the transversal admittance to understand organic electrochemical transistors"

<p>This dataset supports the article: "Using the transversal admittance to understand organic electrochemical transistors"</p> <p>Raw data for the article "Using the transversal admittance to understand organic electrochemical transistors". For further details see the readme.txt file.</p>

opencc-by-4.0Oct 2024View details →
zenodo36/100

Screen-Printed Piezoelectric Sensors on Tattoo Paper Combined with All-Printed High Performance Organic Electrochemical Transistors for Electrophysiological Signal Monitoring

<p>Dataset of the journal article "Screen-Printed Piezoelectric Sensors on Tattoo Paper Combined with All-Printed High Performance Organic Electrochemical Transistors for Electrophysiological Signal Monitoring" published in&nbsp;<i>ACS Applied Materials &amp; Interfaces</i>, 28 November 2023,&nbsp;<a href="https://eur05.safelinks.protection.outlook.com/?url=https%3A%2F%2Fdoi.org%2F10.1021%2Facsami.3c10299&amp;data=05%7C01%7Cpeter.andersson.ersman%40ri.se%7Cbabb1e939a0d4fa7a40908dbeb5e3902%7C5a9809cf0bcb413a838a09ecc40cc9e8%7C0%7C0%7C638362562144125762%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C3000%7C%7C%7C&amp;sdata=pwQmN%2BZMzDOvXQcJ1B4gpHf1S5TEKXtjslPldL%2F9kYQ%3D&amp;reserved=0">https://doi.org/10.1021/acsami.3c10299</a></p>

opencc-by-4.0Nov 2023View details →
zenodo36/100

Monitoring DNA hybridization with Organic Electrochemical Transistors functionalized with Polydopamine

<p>Dataset of the paper &quot;Monitoring DNA hybridization with Organic Electrochemical Transistors functionalized with Polydopamine&quot; published in<em> Macromolecular Materials and Engineering</em>, DOI:10.1002/mame.202100880</p> <p>The data in the excel file are organized as follows:</p> <p>In <strong>Transfer_fc-target</strong> tab is reported the mean of the I<sub>DS&nbsp;</sub>vs&nbsp;V<sub>GS</sub> curves for each of the datasets, for every concentration of fc-target.</p> <p>In <strong>Transfer_pc-target</strong> tab is reported the mean of I<sub>DS&nbsp;</sub>vs&nbsp;V<sub>GS</sub> curves for each of the&nbsp;datasets, for every concentration of pc-target.</p> <p>In <strong>Transfer_nc-target</strong> tab is reported the mean of the I<sub>DS&nbsp;</sub>vs&nbsp;V<sub>GS</sub> curves for 0 and 100 nM nc-target.</p> <p>In the <strong>CV</strong> tab, we show the potential vs Ag/AgCl and the current of the Cyclic Voltammetry of every gate functionalization step, shown in figure 1c of the manuscript.</p>

opencc-by-4.0Mar 2022View details →
zenodo36/100

On-Demand Inkjet Printed Hydrophilic Coatings for Flow Control in 3D-Printed Microfluidic Devices Embedded with Organic Electrochemical Transistors

<p>Dataset of the journal article &quot;On-Demand Inkjet Printed Hydrophilic Coatings for Flow Control in 3D-Printed Microfluidic Devices Embedded with Organic Electrochemical Transistors&quot;, article DOI: 10.1002/admt.202300127</p>

opencc-by-4.0Jun 2023View details →
dryad36/100

Data from: Tunable anti-ambipolar vertical bilayer organic electrochemical transistor enable neuromorphic retinal pathway

Open the record for dataset details and reuse information.

publicAug 2024View details →
zenodo28/100

High Performance Organic Electrochemical Transistors and Logic Circuits Manufactured via a Combination of Screen and Aerosol Jet Printing Techniques

<p>Dataset of the journal article &quot;High Performance Organic Electrochemical Transistors and Logic Circuits Manufactured via a Combination of Screen and Aerosol Jet Printing Techniques&quot; published in&nbsp;<em>Advanced Materials Technologies</em>, 31 May 2022,&nbsp;<a href="https://doi-org.e.bibl.liu.se/10.1002/admt.202200153">https://doi.org/10.1002/admt.202200153</a></p>

opencc-by-4.0Jun 2023View details →

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Allen Brain Atlas

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allen-brain-atlas
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ABODe is a University of Edinburgh DataShare dataset for behavior classification in group-housed mice using home-cage video, identities, bounding boxes, ground-plate positions, and annotator labels.

abode-home-cage
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DANDI Archive for NWB datasets

DANDI is a BRAIN Initiative archive for publishing and sharing neurophysiology data, including electrophysiology, optophysiology, and behavioral data packaged as NWB and related standards.

dandi-nwb
electrophysiologyopenPublished Dandiset metadata and archive endpoints are available through the production DANDI API.
Last verified 2026-04-30Open record

International Brain Laboratory public data

The International Brain Laboratory public data releases expose standardized mouse decision-making experiments, including Neuropixels recordings, widefield calcium imaging, behavior, and session metadata accessed through the ONE API.

ibl
behavioral-neuroscienceopenPublic sessions can be searched and loaded from the IBL public data server through ONE.
Last verified 2026-04-29Open record

OpenNeuro

OpenNeuro is a free, open platform for sharing neuroimaging datasets, with public search, dataset pages, and download paths for web, S3, DataLad, and the OpenNeuro CLI.

openneuro
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Last verified 2026-04-29Open record