Monitoring glucose levels in urine using FTIR spectroscopy combined with univariate and multivariate statistical methods

dc.creatorCAIXETA, DOUGLAS C.
dc.creatorLIMA, CASSIO
dc.creatorXU, YUN
dc.creatorGUEVARA-VEGA, MARCO
dc.creatorESPINDOLA, FOUED S.
dc.creatorGOODACRE, ROYSTON
dc.creatorZEZELL, DENISE M.
dc.creatorSABINO-SILVA, ROBINSON
dc.date2023
dc.date2023-04-26T12:03:14Z
dc.date2023-04-26T12:03:14Z
dc.date.accessioned2023-09-28T14:25:50Z
dc.date.available2023-09-28T14:25:50Z
dc.identifier1386-1425
dc.identifierhttp://repositorio.ipen.br/handle/123456789/34004
dc.identifier290
dc.identifier10.1016/j.saa.2022.122259
dc.identifier0000-0001-7404-9606
dc.identifier89
dc.identifier85.75
dc.identifier.urihttps://repositorioslatinoamericanos.uchile.cl/handle/2250/9004213
dc.descriptionThe development of novel platforms for non-invasive continuous glucose monitoring applied in the screening and monitoring of diabetes is crucial to improve diabetes surveillance systems. Attenuated total reflection-Fourier transform infrared (ATR-FTIR) spectroscopy of urine can be an alternative as a sustainable, label-free, fast, non-invasive, and highly sensitive analysis to detect changes in urine promoted by diabetes and insulin treatment. In this study, we used ATR-FTIR to evaluate the urinary components of non-diabetic (ND), diabetic (D), and diabetic insulin-treated (D + I) rats. As expected, insulin treatment was capable to revert changes in glycemia, 24-h urine collection volume, urine creatinine, urea, and glucose excretion promoted by diabetes. Several differences in the urine spectra of ND, D, and D + I were observed, with urea, creatinine, and glucose analytes being related to these changes. Principal components analysis (PCA) scores plots allowed for the discrimination of ND and D + I from D with an accuracy of ??? 99 %. The PCA loadings associated with PC1 confirmed the importance of urea and glucose vibrational modes for this discrimination. Univariate analysis of second derivative spectra showed a high correlation (r: 0.865, p < 0.0001) between the height of 1074 cm-1 vibrational mode with urinary glucose concentration. In order to estimate the amount of glucose present in the infrared spectra from urine, multivariate curve resolution-alternating least square (MCR-ALS) was applied and a higher predicted concentration of glucose in the urine was observed with a correlation of 78.9 % compared to urinary glucose concentration assessed using enzyme assays. In summary, ATR-FTIR combined with univariate and multivariate chemometric analyses provides an innovative, non-invasive, and sustainable approach to diabetes surveillance.
dc.descriptionCoordena????o de Aperfei??oamento de Pessoal de N??vel Superior (CAPES)
dc.descriptionConselho Nacional de Desenvolvimento Cient??fico e Tecnol??gico (CNPq)
dc.descriptionFunda????o de Amparo ?? Pesquisa do Estado de Minas Gerais (FAPEMIG)
dc.descriptionCAPES: 88887.506792/2020-00
dc.descriptionCNPq: INCT 465763/2014-6; 465669/2014-0; 403193/2022-2; 141629/2015-0
dc.descriptionFAPEMIG: APQ-02872-16; APQ-02148-21
dc.format1-9
dc.relationSpectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy
dc.rightsopenAccess
dc.subjectdiabetes mellitus
dc.subjectfourier transform spectrometers
dc.subjectinfrared spectra
dc.subjecturine
dc.subjectbiological markers
dc.subjectquantitative chemical analysis
dc.subjectglucose
dc.titleMonitoring glucose levels in urine using FTIR spectroscopy combined with univariate and multivariate statistical methods
dc.typeArtigo de peri??dico
dc.coverageI


Este ítem pertenece a la siguiente institución