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Extraction and Analytical Methods for the Characterization of Polyphenols in Marine Microalgae: A Review.
Mar Drugs
November 2024
Department for Life Quality Studies, University of Bologna, Corso d'Augusto 237, 47921 Rimini, Italy.
Marine microalgae are emerging as promising sources of polyphenols, renowned for their health-promoting benefits. Recovering polyphenols from microalgae requires suitable treatment and extraction techniques to ensure their release from the biomass and analytical methodologies to assess their efficiency. This review provides a comprehensive comparison of traditional and cutting-edge extraction and analytical procedures applied for polyphenolic characterization in marine microalgae over the past 26 years, with a unique perspective on optimizing their recovery and identification.
View Article and Find Full Text PDFMicrowave-derivatized enhanced-spectrofluorophotometric characterization of nateglinide-loaded solid dispersion adsorbate and greenness profile assessment of method.
Anal Sci
December 2024
Department of Quality Assurance, Maliba Pharmacy College, Maliba Campus, Bardoli-Mahuva Road, Tarsadi, Mahuva, Surat, 394 350, Gujarat, India.
Nateglinide is an oral meglitinide that treats diabetes. Nateglinide was determined in several commercial formulations using chromatographic and spectrophotometric methods in published research. Quality-by-design approach was applied to develop the in-house nateglinide-loaded Solid Dispersion Adsorbate (SDA) for improving bioavailability and solubility.
View Article and Find Full Text PDFValorization of Bioactive Compounds from Lingonberry Pomace and Grape Pomace with Antidiabetic Potential.
Molecules
November 2024
Centre of Bioanalysis, National Institute of Research and Development for Biological Sciences, 296 Splaiul Independentei, 060031 Bucharest, Romania.
In recent years, increased attention has been paid to the recovery of bioactive compounds from waste and by-products resulting from the agro-industrial sector and their valorization into new products, which can be used in the health, food, or agricultural industry, as innovative and sustainable approaches to waste management. In this work, two of these by-products resulting from the fruit-processing industry were used for the recovery of bioactive compounds (polyphenols), namely lingonberry pomace () and grape pomace (). Two green extraction techniques were employed to obtain hydroalcoholic extracts (solvent: 50% EtOH, 10% mass): ultrasound-assisted extraction (UAE) and accelerated solvent extraction (ASE).
View Article and Find Full Text PDFValorisation of Winery By-Products: Revealing the Polyphenolic Profile of Grape Stems and Their Inhibitory Effects on Skin Aging-Enzymes for Cosmetic and Pharmaceutical Applications.
Molecules
November 2024
Centre for the Research and Technology of Agro-Environmental and Biological Sciences (CITAB), Institute for Innovation, Capacity Building and Sustainability of Agri-Food Production (Inov4Agro), University of Trás-os-Montes e Alto Douro, Quinta de Prados, 5000-801 Vila Real, Portugal.
Grape ( L.) stems, a by-product of winemaking, possess significant potential value due to their rich polyphenolic composition, which allows their exploitation for cosmetic and pharmaceutical applications. This presents a promising opportunity for valorisation aimed at developing innovative products with potential health-promoting effects.
View Article and Find Full Text PDFNew chemometrics-assisted spectrophotometric methods for simultaneous determination of co-formulated drugs montelukast, rupatadine, and desloratadine in their different dosage combinations.
BMC Chem
November 2024
Pharmaceutical Analytical Chemistry Department, Faculty of Pharmacy, Cairo University, Kasr El-Aini Street, Cairo, 11562, Egypt.
Two accurate, precise and robust multivariate chemometric methods were developed for the simultaneous determination of montelukast sodium (MON), rupatadine fumarate (RUP) and desloratadine (DES). These methods provide a cost-effective alternative to chromatographic techniques by utilizing spectrophotometry in pharmaceutical quality control. The proposed approaches, partial least squares-1 (PLS-1) and artificial neural network (ANN), were optimized using genetic algorithm (GA) to select the most influential wavelengths, enhancing model performance.
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