2013
DOI: 10.1177/193229681300700313
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Evaluation of a Minimally Invasive System for Measuring Glucose Area under the Curve during Oral Glucose Tolerance Tests: Usefulness of Sweat Monitoring for Precise Measurement

Abstract: Abbreviations: (ADA) American Diabetes Association, (AUC) area under the curve, (CGM) continuous glucose monitoring, (DM) diabetes mellitus, (FPG) fasting plasma glucose, (IDF) International Diabetes Federation, (IG) interstitial fluid glucose, (IRI) immunoreactive insulin, (ISF) interstitial fluid, (MIET) minimally invasive interstitial fluid extraction technology, (OGTT) oral glucose tolerance test, (PG) plasma glucose, (SMBG) selfmonitoring of blood glucose

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Cited by 39 publications
(30 citation statements)
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“…The detection limit of the glucose sensor is 0.33 × 10 −6 m at a S/N ratio of 3 (Figure S10, Supporting Information). The glucose concentrations in sweat reflect glucose levels of hypoglycemic, hyperglycemic, and healthy people …”
Section: Resultsmentioning
confidence: 99%
“…The detection limit of the glucose sensor is 0.33 × 10 −6 m at a S/N ratio of 3 (Figure S10, Supporting Information). The glucose concentrations in sweat reflect glucose levels of hypoglycemic, hyperglycemic, and healthy people …”
Section: Resultsmentioning
confidence: 99%
“…For instance, human perspiration offers valuable information about health status depending on the levels of several analytes, like lactate, ammonium, and glucose (Labroo and Cui, 2013; Mitsubayashi et al, 1994). Interestingly, glucose monitoring provides a correlation between glucose levels in blood and perspiration for diabetic patients, with concentration ranging between 10 μM and 0.7 mM, the common perspiration glucose concentrations of hypoglycaemic and hyperglycaemic patients as well as healthy people (Moyer et al, 2012; Lee et al, 2016; Sakaguchi et al, 2013). …”
Section: Introductionmentioning
confidence: 99%
“…Possibilities range from concentrations of metabolites such as glucose 11, 2022 , lactate 23 , and alcohol 24 to electrolytes such as sodium 25, 26 , chloride 27 , calcium 28 , to various heavy metal ions 29 . Glucose in sweat is proportional to the blood glucose level and therefore serves as a biomarker for diabetes patients 30, 31 ; lactate is related to sweat generation rate 3234 ; chloride concentration is a diagnostic for cystic fibrosis 35 and it provides important insights into overall electrolyte balance; heavy metal ions can yield an early indication of exposure to toxic metals. Although significant research activity focuses on measurement of these and other chemical species, the physical characteristics associated with the underlying processes of sweating have not been studied due to lack of suitable metrology methods.…”
Section: Introductionmentioning
confidence: 99%