Please use this identifier to cite or link to this item: https://dspace.iiti.ac.in/handle/123456789/7981
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dc.contributor.authorDutta, Surjendu Bikashen_US
dc.contributor.authorKrishna, Hemanten_US
dc.contributor.authorShrivastava, Rashmien_US
dc.contributor.authorGupta, Sharaden_US
dc.date.accessioned2022-03-17T01:00:00Z-
dc.date.accessioned2022-03-21T11:14:36Z-
dc.date.available2022-03-17T01:00:00Z-
dc.date.available2022-03-21T11:14:36Z-
dc.date.issued2020-
dc.identifier.citationDutta, S. B., Krishna, H., Khan, K. M., Shrivastava, R., Sahu, K., Gupta, S., & Majumder, S. K. (2020). Drop-coating deposition raman spectroscopy for quantitative detection of urinary creatinine: A feasibility study. Laser Physics, 30(8) doi:10.1088/1555-6611/ab9833en_US
dc.identifier.issn1054-660X-
dc.identifier.otherEID(2-s2.0-85091397884)-
dc.identifier.urihttps://doi.org/10.1088/1555-6611/ab9833-
dc.identifier.urihttps://dspace.iiti.ac.in/handle/123456789/7981-
dc.description.abstractWe present the results of an exploratory study carried out to evaluate the applicability of drop coating deposition Raman spectroscopy (DCDRS) for quantitative determination of creatinine present in urine. A comparison of the conventional Raman and the DCDRS spectra measured from aqueous solutions of physiological concentration of creatinine showed significantly higher intensity for DCDRS. Although as compared to surface enhanced Raman spectroscopy (SERS) this intensity was considerably lower, the reproducibility of DCDRS was found to be significantly better (92%) than that of SERS (∼75%). A multivariate chemometric algorithm based on partial least square regression was developed to predict the concentrations of creatinine on the basis of the measured set of DCDRS spectra of the aqueous creatinine solutions as well as artificial urine samples and the reference (known) concentrations of creatinine used for preparing the solutions. The algorithm, applied via leave-one-spectrum-out cross-validation, could detect creatinine present in the artificial urine samples with an accuracy of over 94% in the physiological concentration range. Further, the lower limit of detection was also found to be sufficient for determining the presence of the urinary creatinine levels lower than the physiological reference range. Overall, the findings of the study demonstrate a promising potential of DCDRS for quantitative analysis of creatinine present in urine. © 2020 Astro Ltd.en_US
dc.language.isoenen_US
dc.publisherIOP Publishing Ltden_US
dc.sourceLaser Physicsen_US
dc.subjectCoatingsen_US
dc.subjectDepositionen_US
dc.subjectDropsen_US
dc.subjectPhysiologyen_US
dc.subjectExploratory studiesen_US
dc.subjectFeasibility studiesen_US
dc.subjectLower limit of detectionsen_US
dc.subjectPartial least square regressionen_US
dc.subjectPhysiological concentrationsen_US
dc.subjectQuantitative detectionen_US
dc.subjectQuantitative determinationsen_US
dc.subjectSurface enhanced Raman spectroscopyen_US
dc.subjectRaman spectroscopyen_US
dc.titleDrop-coating deposition Raman spectroscopy for quantitative detection of urinary creatinine: A feasibility studyen_US
dc.typeJournal Articleen_US
Appears in Collections:Department of Physics

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