Jude Caleb

Dr. Jude Caleb

orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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21 December 2022 in Turkish Journal of Pharmaceutical Sciences
Verified
Journal Article
Closed access
SASuad Abughrin
Suad Abughrin
UAUsama Alshana
Usama Alshana
JCJude Caleb
Jude Caleb
This study aims to present a method for the determination of the aluminum in antiperspirant products (APPs) by chelating it with quercetin before its detection by smartphone digital image colorimetry (SDIC). Samples were prepared by closed-vessel acid digestion in PTFE cups. This was followed by complexation of aluminum in the sample solution using quercetin as a chelating agent. Sample solutions were transferred into a quartz ultraviolet/visible detection microcuvette for detection in a homemade colorimetric box designed for capturing images of the yellow complex with a smartphone camera. The pixel intensity of the images was converted to numbers for quantitation using ImageJ software for a personal computer. An independent study using high-performance liquid chromatography-diode-array detection was conducted to check the accuracy of the proposed method. Optimum SDIC conditions included a Samsung C9 smartphone as the detection camera, a cropped region of interest of 6400 px2, and the side position of the colorimetric box were selected for capturing the images of the sample solutions placed 10.0 cm from the detection camera, whereas optimum complexation conditions were found to be as sample pH of 5.5, sample volume of 3.0 mL, complexation time of 1.0 min and a ligand concentration of 0.28 mmol L-1. Analytical performance of the method included a limit of detection of 0.5 μmol L-1 and a coefficient of determination (R2) of the calibration graph of 0.9981. The proposed method was successfully applied for the determination of aluminum in APPs with percentage recoveries ranging from 80.0 to 109.6%.

21 September 2023 in Analytical Methods
Verified
Journal Article
Closed access
PDF file
Victor MarkusVictor Markus
Victor Markus
ODOzlem Dalmizrak
Ozlem Dalmizrak
OEOğuz Han EDEBAL
Oğuz Han EDEBAL
MAMais Al-Nidawi
Mais Al-Nidawi
JCJude Caleb
Jude Caleb
Colorimetric determination of proteins in serum is proposed based on the biuret method and replacing ultraviolet-visible spectrometric (UV-Vis) detection with a simple and affordable smartphone digital image colorimetric (SDIC) method. Optimum SDIC conditions were found as a detection wavelength of 555 nm, a region of interest of 1600 px2, and 9.0 cm between the detection camera and sample solution. Under the optimum conditions, the coefficient of determination was 0.9982 within a linear dynamic range of 0.022 to 0.35 g dL−1. The precision of the method based on the percent relative standard deviation was below 5%. The limit of detection and limit of quantitation were found to be 0.007 and 0.022 g dL−1 respectively, which were sufficient for the quantification of the total protein, albumin, and globulin in serum. The method was validated with an independent experiment using a UV-Vis method and both methods showed good statistical agreement, indicating the accuracy of the proposed SDIC method.

5 March 2025 in Analytical Letters
Verified
Journal Article
Closed access
VMVictor Markus
Victor Markus
Abraham Abbey PaulAbraham Abbey Paul
Abraham Abbey Paul
RMRobert S. Marks
Robert S. Marks
JCJude Caleb
Jude Caleb