<HashMap><database>biostudies-literature</database><scores/><additional><submitter>Hwang C</submitter><funding>National Research Foundation of Korea</funding><pagination>30772</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11680892</full_dataset_link><repository>biostudies-literature</repository><omics_type>Unknown</omics_type><volume>14(1)</volume><pubmed_abstract>pH sensing technology is pivotal for monitoring aquatic ecosystems and diagnosing human health conditions. Indium-gallium-zinc oxide electrolyte-gated thin-film transistors (IGZO EGTFTs) are highly regarded as ion-sensing devices due to the pH-dependent surface chemistry of their sensing membranes. However, applying EGTFT-based pH sensors in complex biofluids containing diverse charged species poses challenges due to ion interference and inherently low sensitivity constrained by the Nernst limit. Here, we propose a dual-biased (DB) EGTFT pH sensing platform, acquiring back-gate-assisted sensitivity enhancement and recyclable redox-coupled protonation at the semiconductor-biofluid interface. A solution-processed amorphous IGZO film, used as the proton-sensitive membrane, ensures scalable uniformity across a 6-inch wafer. These devices demonstrate exceptional pH resistivity over several hours when submerged in solutions with pH levels of 4 and 8. In-depth electrochemical investigations reveal that back-gate bias significantly enhances sensitivity beyond the Nernst limit, reaching 85 mV/pH. This improvement is due to additional charge accumulation in the channel, which expands the sensing window. As a proof of concept, we observe consistent variations in threshold voltage during repeated pH cycles, not only in standard solutions but also in physiological electrolytes such as phosphate-buffered saline (PBS) and artificial urine, confirming the potential for reliable operation in complex biological environments.</pubmed_abstract><journal>Scientific reports</journal><pubmed_title>Dual-biased metal oxide electrolyte-gated thin-film transistors for enhanced protonation in complex biofluids.</pubmed_title><pmcid>PMC11680892</pmcid><funding_grant_id>RS-2023-00213089</funding_grant_id><pubmed_authors>Hwang C</pubmed_authors><pubmed_authors>Choi JG</pubmed_authors><pubmed_authors>Park S</pubmed_authors><pubmed_authors>Baek S</pubmed_authors><pubmed_authors>Song Y</pubmed_authors></additional><is_claimable>false</is_claimable><name>Dual-biased metal oxide electrolyte-gated thin-film transistors for enhanced protonation in complex biofluids.</name><description>pH sensing technology is pivotal for monitoring aquatic ecosystems and diagnosing human health conditions. Indium-gallium-zinc oxide electrolyte-gated thin-film transistors (IGZO EGTFTs) are highly regarded as ion-sensing devices due to the pH-dependent surface chemistry of their sensing membranes. However, applying EGTFT-based pH sensors in complex biofluids containing diverse charged species poses challenges due to ion interference and inherently low sensitivity constrained by the Nernst limit. Here, we propose a dual-biased (DB) EGTFT pH sensing platform, acquiring back-gate-assisted sensitivity enhancement and recyclable redox-coupled protonation at the semiconductor-biofluid interface. A solution-processed amorphous IGZO film, used as the proton-sensitive membrane, ensures scalable uniformity across a 6-inch wafer. These devices demonstrate exceptional pH resistivity over several hours when submerged in solutions with pH levels of 4 and 8. In-depth electrochemical investigations reveal that back-gate bias significantly enhances sensitivity beyond the Nernst limit, reaching 85 mV/pH. This improvement is due to additional charge accumulation in the channel, which expands the sensing window. As a proof of concept, we observe consistent variations in threshold voltage during repeated pH cycles, not only in standard solutions but also in physiological electrolytes such as phosphate-buffered saline (PBS) and artificial urine, confirming the potential for reliable operation in complex biological environments.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Dec</publication><modification>2025-04-19T21:28:21.215Z</modification><creation>2025-04-19T21:28:21.215Z</creation></dates><accession>S-EPMC11680892</accession><cross_references><pubmed>39730462</pubmed><doi>10.1038/s41598-024-80005-0</doi></cross_references></HashMap>