<HashMap><database>biostudies-literature</database><scores/><additional><omics_type>Unknown</omics_type><volume>10(50)</volume><submitter>Sarkar A</submitter><pubmed_abstract>A method is presented for high-precision chemical detection that integrates quantum sensing with droplet microfluidics. Using nanodiamonds (ND) with fluorescent nitrogen-vacancy (NV) centers as quantum sensors, rapidly flowing microdroplets containing analyte molecules are analyzed. A noise-suppressed mode of optically detected magnetic resonance is enabled by pairing controllable flow with microwave control of NV electronic spins, to detect analyte-induced signals of a few hundredths of a percent of the ND fluorescence. Using this method, paramagnetic ions in droplets are detected with low limit-of-detection using small analyte volumes, with exceptional measurement stability over >10&lt;sup>3&lt;/sup> s. In addition, these droplets are used as microconfinement chambers by co-encapsulating ND quantum sensors with various analytes such as single cells, suggesting wide-ranging applications including single-cell metabolomics and real-time intracellular measurements from bioreactors. Important advances are enabled by this work, including portable chemical testing devices, amplification-free chemical assays, and chemical imaging tools for probing reactions within microenvironments.</pubmed_abstract><journal>Science advances</journal><pagination>eadp4033</pagination><full_dataset_link>https://www.ebi.ac.uk/biostudies/studies/S-EPMC11633744</full_dataset_link><repository>biostudies-literature</repository><pubmed_title>High-precision chemical quantum sensing in flowing monodisperse microdroplets.</pubmed_title><pmcid>PMC11633744</pmcid><pubmed_authors>Ajoy A</pubmed_authors><pubmed_authors>Sarkar A</pubmed_authors><pubmed_authors>Jones ZR</pubmed_authors><pubmed_authors>Conti S</pubmed_authors><pubmed_authors>Wilson KR</pubmed_authors><pubmed_authors>Gilbert B</pubmed_authors><pubmed_authors>Krishnamoorthi P</pubmed_authors><pubmed_authors>Nunn N</pubmed_authors><pubmed_authors>Aman P</pubmed_authors><pubmed_authors>Torelli MD</pubmed_authors><pubmed_authors>Nachuri S</pubmed_authors><pubmed_authors>Shenderova OA</pubmed_authors><pubmed_authors>Druga E</pubmed_authors><pubmed_authors>Hashemi M</pubmed_authors><pubmed_authors>Tanjore D</pubmed_authors><pubmed_authors>Parashar M</pubmed_authors><pubmed_authors>Akkiraju A</pubmed_authors></additional><is_claimable>false</is_claimable><name>High-precision chemical quantum sensing in flowing monodisperse microdroplets.</name><description>A method is presented for high-precision chemical detection that integrates quantum sensing with droplet microfluidics. Using nanodiamonds (ND) with fluorescent nitrogen-vacancy (NV) centers as quantum sensors, rapidly flowing microdroplets containing analyte molecules are analyzed. A noise-suppressed mode of optically detected magnetic resonance is enabled by pairing controllable flow with microwave control of NV electronic spins, to detect analyte-induced signals of a few hundredths of a percent of the ND fluorescence. Using this method, paramagnetic ions in droplets are detected with low limit-of-detection using small analyte volumes, with exceptional measurement stability over >10&lt;sup>3&lt;/sup> s. In addition, these droplets are used as microconfinement chambers by co-encapsulating ND quantum sensors with various analytes such as single cells, suggesting wide-ranging applications including single-cell metabolomics and real-time intracellular measurements from bioreactors. Important advances are enabled by this work, including portable chemical testing devices, amplification-free chemical assays, and chemical imaging tools for probing reactions within microenvironments.</description><dates><release>2024-01-01T00:00:00Z</release><publication>2024 Dec</publication><modification>2025-04-04T02:33:07.474Z</modification><creation>2025-04-04T02:33:07.474Z</creation></dates><accession>S-EPMC11633744</accession><cross_references><pubmed>39661672</pubmed><doi>10.1126/sciadv.adp4033</doi></cross_references></HashMap>