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Sweat can be sampled non-invasively and contains a wealth of information about the metabolic state of an individual, making it an excellent candidate for remote health monitoring. An accurate, rapid, and low-cost biofluid characterization technique is required to enable the widespread use of remote health monitoring. We previously introduced microfluidic impedance spectroscopy for the detection of electrolyte concentration in fluids, whereby a novel device architecture, measurement method, and analysis technique were presented for the characterization of cationic species. The purely electrical nature of this measurement technique removes the intermediate steps inherent in common rival technologies such as optical and electrochemical sensing, offering a range of advantages. In this work, we investigate the effect of temperature on microfluidic impedance spectroscopy of ionic species commonly present in biofluids. We find that the impedance spectra and concentration determination are temperature-dependent; remote health monitoring devices must be calibrated appropriately as they are likely to experience temperature fluctuations. Importantly, we demonstrate the ability of the method to measure the concentration of anionic species alongside that of cationic species, enabling the detection of chloride and lactate, which are useful biomarkers for hydration, cystic fibrosis, fatigue, sepsis, and hypoperfusion. We show that the presence of neutral species does not impair accurate determination of ionic concentration, thus, demonstrating the suitability of microfluidic impedance spectroscopy for non-invasive biofluid characterization.<\/jats:p>","DOI":"10.1063\/5.0255847","type":"journal-article","created":{"date-parts":[[2025,5,1]],"date-time":"2025-05-01T15:16:37Z","timestamp":1746112597000},"update-policy":"https:\/\/doi.org\/10.1063\/aip-crossmark-policy-page","source":"Crossref","is-referenced-by-count":4,"title":["Temperature-dependent microfluidic impedance spectroscopy for non-invasive biofluid characterization"],"prefix":"10.1063","volume":"19","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-0087-8978","authenticated-orcid":false,"given":"Tom","family":"Wade","sequence":"first","affiliation":[{"name":"Department of Materials Science and Metallurgy, University of Cambridge , 27 Charles Babbage Road, Cambridge CB3 0FS,","place":["United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8151-1616","authenticated-orcid":false,"given":"Sohini","family":"Kar-Narayan","sequence":"additional","affiliation":[{"name":"Department of Materials Science and Metallurgy, University of Cambridge , 27 Charles Babbage Road, Cambridge CB3 0FS,","place":["United Kingdom"]}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"317","published-online":{"date-parts":[[2025,5,1]]},"reference":[{"key":"2025050111163374700_c1","doi-asserted-by":"publisher","first-page":"57","DOI":"10.1007\/s12652-017-0598-x","article-title":"Remote patient monitoring: A comprehensive study","volume":"10","year":"2019","journal-title":"J. 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