{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,12,10]],"date-time":"2025-12-10T12:14:45Z","timestamp":1765368885040},"reference-count":20,"publisher":"Wiley","issue":"4","license":[{"start":{"date-parts":[[2000,1,1]],"date-time":"2000-01-01T00:00:00Z","timestamp":946684800000},"content-version":"vor","delay-in-days":0,"URL":"http:\/\/creativecommons.org\/licenses\/by\/3.0\/"}],"content-domain":{"domain":["onlinelibrary.wiley.com"],"crossmark-restriction":true},"short-container-title":["Journal of Healthcare Engineering"],"published-print":{"date-parts":[[2013,1]]},"abstract":"<jats:p><jats:bold>Objective:<\/jats:bold> To develop a minimally invasive interstitial fluid extraction technology (MIET) to monitor postprandial glucose area under the curve (AUC) without blood sampling, we evaluated the accuracy of glucose AUC measured by MIET and compared with that by blood sampling after food intake. <jats:bold>Methods:<\/jats:bold> Interstitial fluid glucose AUC (IG\u2010AUC) following consumption of 6 different types of foods was measured by MIET. MIET consisted of stamping microneedle arrays, placing hydrogel patches on the areas, and calculating IG\u2010AUC based on glucose levels in the hydrogels. Glycemic index (GI) was determined using IG\u2010AUC and reference AUC measured by blood sampling. <jats:bold>Results:<\/jats:bold> IG\u2010AUC strongly correlated with reference AUC (<jats:italic>R<\/jats:italic> = 0.91), and GI determined using IG\u2010AUC showed good correlation with that determined by reference AUC (<jats:italic>R<\/jats:italic> = 0.88). <jats:bold>Conclusions:<\/jats:bold> IG\u2010AUC obtained by MIET can accurately predict the postprandial glucose excursion without blood sampling. In addition, feasibility of GI measurement by MIET was confirmed.<\/jats:p>","DOI":"10.1260\/2040-2295.4.4.529","type":"journal-article","created":{"date-parts":[[2013,11,29]],"date-time":"2013-11-29T02:02:31Z","timestamp":1385690551000},"page":"529-540","update-policy":"http:\/\/dx.doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":8,"title":["Evaluation of Postprandial Glucose Excursion Using a Novel Minimally Invasive Glucose Area\u2010Under\u2010the\u2010Curve Monitoring System"],"prefix":"10.1155","volume":"4","author":[{"given":"Sachi","family":"Kuranuki","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Toshiyuki","family":"Sato","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Seiki","family":"Okada","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Samiko","family":"Hosoya","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Akinobu","family":"Seko","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Kaya","family":"Sugihara","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Teiji","family":"Nakamura","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"311","published-online":{"date-parts":[[2013,11,28]]},"reference":[{"key":"e_1_2_1_1_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0140-6736(98)12131-1"},{"key":"e_1_2_1_2_2","doi-asserted-by":"publisher","DOI":"10.2337\/dc08-2068"},{"key":"e_1_2_1_3_2","doi-asserted-by":"publisher","DOI":"10.1016\/S0002-8223(98)00206-5"},{"key":"e_1_2_1_4_2","doi-asserted-by":"crossref","DOI":"10.1371\/journal.pone.0043127","article-title":"Dietary fiber, carbohydrate quality and quantity, and mortality risk of individuals with diabetes mellitus","volume":"7","author":"Burger K. 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