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Phytochemical and Biological Investigations of Crude Extracts of .
Pharmaceuticals (Basel)
December 2024
Department of Analytical Chemistry, Faculty of Pharmacy, Afyonkarahisar Health Sciences University, TR-03100 Afyonkarahisar, Turkey.
: L. is a genus of the Fabaceae family, encompassing over 3000 species globally, with 380 species found in Turkey. This is the inaugural examination of the phytochemical, antioxidant, antibacterial, and cytotoxic properties of .
View Article and Find Full Text PDFAI enabled, mobile soil pH classification with colorimetric paper sensors for sustainable agriculture.
PLoS One
January 2025
IBM Research, Rio de Janeiro, Brazil.
For optimizing production yield while limiting negative environmental impact, sustainable agriculture benefits from real-time, on-the-spot chemical analysis of soil at low cost. Colorimetric paper sensors are ideal candidates, however, their automated readout and analysis in the field is needed. Using mobile technology for paper sensor readout could, in principle, enable the application of machine-learning models for transforming colorimetric data into threshold-based classes that represent chemical concentration.
View Article and Find Full Text PDFAn ensemble model of machine learning regression techniques and color spaces integrated with a color sensor: application to color-changing biochemical assays.
RSC Adv
January 2025
Department of Chemical and Materials Engineering, University of Alberta Edmonton AB T6G 1H9 Canada
Non-destructive color sensors are widely applied for rapid analysis of various biological and healthcare point-of-care applications. However, existing red, green, blue (RGB)-based color sensor systems, relying on the conversion to human-perceptible color spaces like hue, saturation, lightness (HSL), hue, saturation, value (HSV), as well as cyan, magenta, yellow, key (CMYK) and the CIE L*a*b* (CIELAB) exhibit limitations compared to spectroscopic methods. The integration of machine learning (ML) techniques presents an opportunity to enhance data analysis and interpretation, enabling insights discovery, prediction, process automation, and decision-making.
View Article and Find Full Text PDFLab-on-paper for molecular testing with USB-powered isothermal amplification and fluidic control.
Mikrochim Acta
January 2025
Department of Biotechnology and Bioengineering, Chonnam National University, Gwangju, 61186, Republic of Korea.
The global healthcare market increasingly demands affordable molecular diagnostics for field testing. To address this need, we introduce a lab-on-paper (LOP) platform that integrates isothermal amplification with a specially designed paper strip for molecular testing through an automated microfluidics process. The LOP system is engineered for rapid, cost-effective, and highly sensitive detection, using USB-powered thermal management and a wax valve mechanism.
View Article and Find Full Text PDFVerification of the Reliability of an Automated Urine Test Strip Colorimetric Program Using Colorimetric Analysis: Survey Study.
JMIR Form Res
January 2025
Hamamatsu University School of Medicine, Hamamatsu City, Chuo-ku, Japan.
Background: One method for noninvasive and simple urinary microalbumin testing is urine test strips. However, when visually assessing urine test strips, accurate assessment may be difficult due to environmental influences-such as lighting color and intensity-and the physical and psychological influences of the assessor. These complicate the formation of an objective assessment.
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