A new category of articles - Raw Data Letters - is introduced to .
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| http://www.ncbi.nlm.nih.gov/pmc/articles/PMC9635430 | PMC |
| http://dx.doi.org/10.1107/S2414314622008215 | DOI Listing |
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Efficient and accurate determination of the degree of substitution of cellulose acetate using ATR-FTIR spectroscopy and machine learning.
Sci Rep
January 2025
Institute of Biological and Chemical Systems - Functional Molecular Systems (IBCS-FMS), Karlsruhe Institute of Technology (KIT), Karlsruhe, 76344, Germany.
Multiple linear regression models were trained to predict the degree of substitution (DS) of cellulose acetate based on raw infrared (IR) spectroscopic data. A repeated k-fold cross validation ensured unbiased assessment of model accuracy. Using the DS obtained from H NMR data as reference, the machine learning model achieved a mean absolute error (MAE) of 0.
View Article and Find Full Text PDFSelective sensing of terbinafine hydrochloride using carbon-based electrodes: a green and sustainable electroanalytical method for pharmaceutical products.
Anal Methods
January 2025
ampere - Laboratório de Plataformas Eletroquímicas - Universidade Federal de Santa Catarina, Departamento de Química, 88040-900 Florianópolis, SC, Brazil.
Terbinafine hydrochloride (TBF) is a broad-spectrum antifungal used to treat various dermatophyte infections affecting the skin, hair, and nails. Accurate, sensitive, and affordable analytical methods are crucial for quantifying this drug. In this study, we report on the use of carbon-based electrodes for the electrochemical determination of TBF in pharmaceutical samples, including raw materials and tablets.
View Article and Find Full Text PDFTaylor Series Approximation for Accurate Generalized Confidence Intervals of Ratios of Log-Normal Standard Deviations for Meta-Analysis Using Means and Standard Deviations in Time Scale.
Pharm Stat
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Department of Anesthesia, University of Iowa, Iowa City, Iowa, USA.
With contemporary anesthetic drugs, the efficacy of general anesthesia is assured. Health-economic and clinical objectives are related to reductions in the variability in dosing, variability in recovery, etc. Consequently, meta-analyses for anesthesiology research would benefit from quantification of ratios of standard deviations of log-normally distributed variables (e.
View Article and Find Full Text PDFAnalytical sensitivity factors from distributions of time of flight of photons for near-infrared spectroscopy studies in multilayered turbid media.
J Biomed Opt
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CIFICEN (UNCPBA - CICPBA - CONICET), Tandil, Argentina.
Significance: In the last years, time-resolved near-infrared spectroscopy (TD-NIRS) has gained increasing interest as a tool for studying tissue spectroscopy with commercial devices. Although it provides much more information than its continuous wave counterpart, accurate models interpreting the measured raw data in real time are still lacking.
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Validation framework for digital measures.
Front Toxicol
January 2025
Digital In Vivo Alliance (DIVA), Redwood City, CA, United States.
The adoption of digital measures in pharmaceutical research and development (R&D) presents an opportunity to enhance the efficiency and effectiveness of discovering and developing new therapeutics. For clinical measures, the Digital Medicine Society's (DiMe) V3 Framework is a comprehensive validation framework that encompasses verification, analytical validation, and clinical validation. This manuscript describes collaborative efforts to adapt this framework to ensure the reliability and relevance of digital measures for a preclinical context.
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