With the target of fabricating healthier products, food manufacturing companies look for natural-based nutraceuticals that can potentially improve the physicochemical properties of food systems while being nutritive to the consumer and providing additional health benefits (biological activities). In this regard, Mangiferin joins all these requirements as a potential nutraceutical, which is typically contained in Mangifera indica products and its by-products. Unfortunately, knowing the complex chemical composition of Mango and its by-products, the extraction and purification of Mangiferin remains a challenge. Therefore, this comprehensive review revises the main strategies proposed by scientists for the extraction and purification of Mangiferin. Importantly, this review identifies that there is no report reviewing and criticizing the literature in this field so far. Our attention has been targeted on the timely findings on the primary extraction techniques and the relevant insights into isolation and purification. Our discussion has emphasized the advantages and limitations of the proposed strategies, including solvents, extracting conditions and key interactions with the target xanthone. Additionally, we report the current research gaps in the field after analyzing the literature, as well as some examples of functional food products containing Mangiferin.
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http://dx.doi.org/10.1016/j.cis.2024.103188 | DOI Listing |
Food Chem X
January 2025
Academy of National Food and Strategic Reserves Administration, NFSRA Key Laboratory of Grain and oil quality and safety, Beijing 100037, China.
The contamination of Alternaria toxins poses a potential risk to human health. This study developed a rapid, efficient, and environmentally friendly method for the simultaneous determination of five types of Alternaria toxins in wheat using high-precision and stable isotope liquid chromatography tandem mass spectrometry. The comparison between dilution method and solid-phase extraction method shows that the former achieves satisfactory results with a simple and convenient sample purification method.
View Article and Find Full Text PDFFront Pharmacol
January 2025
School of Traditional Chinese and Western Medicine, Gansu University of Chinese Medicine, Lanzhou, China.
, a traditional Chinese herbal medicine and food, which has a long history of clinical application, is used to improve health conditions and treat various diseases. polysaccharides (ASP), the main active component of this traditional Chinese medicine, have multicomponent, multitarget characteristics and very broad pharmacological activities. They play important roles in the treatment of several diseases.
View Article and Find Full Text PDFJ Chromatogr Sci
January 2025
Department of Chemistry & Biochemistry, Ohio University, Athens, OH, USA.
The valid method was developed for analyzing empagliflozin in serum/plasma/urine using a molecularly imprinted ghost polymer-solid-phase extraction approach (MISPE) with liquid chromatographic methodology. Methacrylic acid (MAA) was used as the monomer, 2,2 azobis isobutyronitrile as the initiator and ethylene glycol dimethacrylate as the cross-linker in the free radical polymerization procedure. Empagliflozin was loaded onto the polymer and eluted with 1 mL of a 9:1 MeOH:acetic acid solution.
View Article and Find Full Text PDFBMC Pediatr
January 2025
Department of Pediatrics, Faculty of Medicine, Assiut University, Egypt, 71515, Assiut, Egypt.
Background: This study aimed to investigate the possible association of LPCAT1-rs8352 genetic variant (single nucleotide change C to G) with the onset and severity of pediatric asthma. Additionally, the study examined the influence of LPCAT1-rs8352 genotypes on asthma-related biomarkers including blood eosinophils count (BEC), eosinophil cationic protein (ECP), high-sensitivity C-reactive protein (hs-CRP), and immunoglobulin E (IgE) and on lung function [forced expiratory volume in one second (FEV1) and the forced vital capacity (FVC)].
Patients And Methods: The study included ninety-six participant grouped into two groups: G1 (46 asthmatics) and G2 (50 healthy controls).
In 2019, the novel coronavirus swept the world, exposing the monitoring and early warning problems of the medical system. Computer-aided diagnosis models based on deep learning have good universality and can well alleviate these problems. However, traditional image processing methods may lead to high false positive rates, which is unacceptable in disease monitoring and early warning.
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