<?xml version='1.0' encoding='UTF-8'?><codeBook xmlns="ddi:codebook:2_5" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="ddi:codebook:2_5 https://ddialliance.org/Specification/DDI-Codebook/2.5/XMLSchema/codebook.xsd" version="2.5"><docDscr><citation><titlStmt><titl>Microneedle Coupled Epidermal Sensor for Multiplexed Electrochemical Detection of Kidney Disease Biomarkers</titl><IDNo agency="DOI">doi:10.21979/N9/Y22WE7</IDNo></titlStmt><distStmt><distrbtr source="archive">DR-NTU (Data)</distrbtr><distDate>2023-11-01</distDate></distStmt><verStmt source="archive"><version date="2023-11-01" type="RELEASED">1</version></verStmt><biblCit>Zheng, Lewen; Zhu, Dan Dan; Xiao, Yi; Zheng, Xin Ting; Chen, Peng, 2023, "Microneedle Coupled Epidermal Sensor for Multiplexed Electrochemical Detection of Kidney Disease Biomarkers", https://doi.org/10.21979/N9/Y22WE7, DR-NTU (Data), V1</biblCit></citation></docDscr><stdyDscr><citation><titlStmt><titl>Microneedle Coupled Epidermal Sensor for Multiplexed Electrochemical Detection of Kidney Disease Biomarkers</titl><IDNo agency="DOI">doi:10.21979/N9/Y22WE7</IDNo></titlStmt><rspStmt><AuthEnty affiliation="Nanyang Technological University">Zheng, Lewen</AuthEnty><AuthEnty affiliation="Nanyang Technological University">Zhu, Dan Dan</AuthEnty><AuthEnty affiliation="Nanyang Technological University">Xiao, Yi</AuthEnty><AuthEnty affiliation="Agency for Science, Technology and Research (A*STAR)">Zheng, Xin Ting</AuthEnty><AuthEnty affiliation="Nanyang Technological University">Chen, Peng</AuthEnty></rspStmt><prodStmt><software>Graphpad Prism 8</software><grantNo agency="Ministry of Education (MOE)">RG110/20</grantNo><grantNo agency="Ministry of Education (MOE)">RT02/20</grantNo><grantNo agency="Ministry of Education (MOE)">2019-T2-2-004</grantNo><grantNo agency="gency of Science, Technology and Research (A*STAR)">Mini-BEP grant (C211318009)</grantNo></prodStmt><distStmt><distrbtr source="archive">DR-NTU (Data)</distrbtr><contact affiliation="Nanyang Technological University">Zheng, Lewen</contact><depositr>Zheng, Lewen</depositr><depDate>2023-11-01</depDate></distStmt><holdings URI="https://doi.org/10.21979/N9/Y22WE7"/></citation><stdyInfo><subject><keyword xml:lang="en">Chemistry</keyword><keyword xml:lang="en">Engineering</keyword><keyword xml:lang="en">Medicine, Health and Life Sciences</keyword><keyword>Chemistry</keyword><keyword>Engineering</keyword><keyword>Medicine, Health and Life Sciences</keyword><keyword>Transdermal detection</keyword><keyword>Microneedle patch</keyword><keyword>Skin interstitial fluid</keyword><keyword>Multiplex electrochemical assays</keyword></subject><abstract>Early diagnosis of chronic kidney disease (CKD) and constant monitoring to guide optimal intervention is critical to prevent renal failure and other critical diseases. However, the conventional blood tests in hospital are time-consuming and have poor patient compliance. Herein, we demonstrate a real-time, minimally invasive, and self-administrable approach to detect kidney biomarkers in the skin interstitial fluid (ISF) using a polymeric microneedle coupled electrochemical sensor array (MNESA). Microneedles can readily penetrate stratum corneum and quickly extract ISF onto the sensors. Four biomarkers are simultaneously detected to avoid false positive and provide an accurate assessment of kidney functions. Using an artificial skin model, it is shown that MNSEA gives specific and sensitive responses to these kidney biomarkers in physiologically relevant ranges (phosphate: 0.3–1.8 mM, 3.62 μA/mM; uric acid: 50–550 μM, 4.19 nA/μM; creatinine: 50–550 μM, 12.58 nA/μM; urea: 1–16 mM, 44.6 mV/decade). Using a mouse model, we demonstrate that this approach is as reliable as the commercial assays and is feasible to readily monitor the progression of CDK.</abstract><sumDscr><dataKind>experimental data</dataKind></sumDscr></stdyInfo><method><dataColl><sources/></dataColl><anlyInfo/></method><dataAccs><setAvail/><useStmt/></dataAccs><othrStdyMat><relPubl><citation><biblCit>Zheng, L., Zhu, D., Xiao, Y., Zheng, X., &amp; Chen, P. (2023). Microneedle coupled epidermal sensor for multiplexed electrochemical detection of kidney disease biomarkers. Biosensors and Bioelectronics, 237, 115506.</biblCit></citation><ExtLink URI="https://www.sciencedirect.com/science/article/abs/pii/S0956566323004487"/></relPubl><relPubl><citation><titlStmt><IDNo agency="handle">10356/170241</IDNo></titlStmt><biblCit>Zheng, L., Zhu, D., Xiao, Y., Zheng, X., &amp; Chen, P. (2023). Microneedle coupled epidermal sensor for multiplexed electrochemical detection of kidney disease biomarkers. Biosensors and Bioelectronics, 237, 115506.</biblCit></citation><ExtLink URI="https://hdl.handle.net/10356/170241"/></relPubl></othrStdyMat></stdyDscr><otherMat ID="f121977" URI="https://researchdata.ntu.edu.sg/api/access/datafile/121977" level="datafile"><labl>Characterization of MNESA.jpg</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">image/jpeg</notes></otherMat><otherMat ID="f121978" URI="https://researchdata.ntu.edu.sg/api/access/datafile/121978" level="datafile"><labl>Electrochemical signals of MNESA in PBS solution in response to stepwise addition of analytes.jpg</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">image/jpeg</notes></otherMat><otherMat ID="f121976" URI="https://researchdata.ntu.edu.sg/api/access/datafile/121976" level="datafile"><labl>In vitro calibration of MNESA.jpg</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">image/jpeg</notes></otherMat><otherMat ID="f121974" URI="https://researchdata.ntu.edu.sg/api/access/datafile/121974" level="datafile"><labl>In vivo mouse experiments.jpg</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">image/jpeg</notes></otherMat><otherMat ID="f121973" URI="https://researchdata.ntu.edu.sg/api/access/datafile/121973" level="datafile"><labl>Responses of electrochemical sensors in MNESA when being immersed in a solution with prescribed concentrations of analytes.jpg</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">image/jpeg</notes></otherMat><otherMat ID="f121975" URI="https://researchdata.ntu.edu.sg/api/access/datafile/121975" level="datafile"><labl>The stability and reversibility tests.jpg</labl><notes level="file" type="DATAVERSE:CONTENTTYPE" subject="Content/MIME Type">image/jpeg</notes></otherMat></codeBook>