Nano-particles of green tea extract were prepared by ultrasonication, encapsulated in maltodextrin and were subjected to freeze drying to produce nanoencapsulated powders. Different proportions of 30 % solution of maltodextrin and dry tea extract (1:5; 1:10, 1:15) were combined with a small molecule surfactant (Tween 40). Average particle size of 1:5, 1:10, 1:15 based nano-particles were 380.34, 390.26 and 520.45 nm with encapsulation efficiency of 41.27, 45.92 and 57.51% and with negative surface charge of -22.04, -16.40 and -14.91, respectively. Scanning electron microscopy revealed irregular shapes of nanoencapsulated freeze dried powders with variation in appearance. X-ray diffraction patterns showed very low degree of crystanillity after encapsulation. The nanoencapsulated powders showed characteristic bands in infra-red spectra at ∼ 3200, ∼1600 and ∼ 1140 cm. Nanocapsules displayed controlled release when compared to free green tea extract under simulated intestinal conditions and all the data showed good correlation with zero order kinetics.
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http://dx.doi.org/10.1016/j.foodchem.2022.132579 | DOI Listing |
Heliyon
January 2025
School of Forestry, Henan Agricultural University, Zhengzhou, 450046, China.
Maxim. is valued for its high oil yield, which fruit has high oil content and good health effects. However, the large amount of unsaturated fatty acids in the oil is easily oxidized, and its storage intolerance has seriously restricted its marketing.
View Article and Find Full Text PDFInt J Biol Macromol
January 2025
NBFC - National Biodiversity Future Center, 90133 Palermo, Italy; University of Naples Federico II, Department of Biology, Naples, Italy. Electronic address:
Bio-valorization of agri-food wastes lies in their possible conversion into fermented foodstuffs/beverages and/or biodegradable polymers such as bacterial cellulose. In this study, three different kombucha cultures were formulated using agri-food waste materials, citrus fruit residues and used coffee grounds, as alternative carbon and nitrogen sources, respectively. Over 21 days of fermentation, the kinetic profile was followed by monitoring cell number, pH variation, minerals, trace elements and production of bacterial cellulose.
View Article and Find Full Text PDFJ Stomatol Oral Maxillofac Surg
January 2025
Department of Gastrointestinal Surgery, Second Affiliated Hospital of Kunming Medical University / Second Faculty of Clinical Medicine, Kunming Medical University, Kunming 650101, China.
Background: Oral cancer is a common head and neck cancer malignancy that seriously affects patients' quality of life and increases the health care burden. Moreover, there is a lack of comprehensive reviews of previous research on factors associated with oral cancer. The aim of the current umbrella review was to provide a comprehensive and systematic summary of relevant studies, to grade the quality of evidence of relevant studies, and to provide guidance for the prevention of oral cancer.
View Article and Find Full Text PDFNutrients
January 2025
Department of Dermatology, Weill Cornell Medicine, New York City, NY 10021, USA.
Vitiligo is a chronic autoimmune pigmentation disorder shaped by a complex interplay of genetic predispositions and environmental triggers. While conventional therapies-phototherapy, corticosteroids, and immunosuppressants-can be effective, their benefits are often partial and temporary, with recurrence common once treatment stops. As such, there is increasing interest in exploring complementary approaches that may offer a more sustainable impact.
View Article and Find Full Text PDFSensors (Basel)
January 2025
College of Computer and Information Sciences, Fujian Agriculture and Forestry University, Fuzhou 350002, China.
Compared with conventional targets, small objects often face challenges such as smaller size, lower resolution, weaker contrast, and more background interference, making their detection more difficult. To address this issue, this paper proposes an improved small object detection method based on the YOLO11 model-PC-YOLO11s. The core innovation of PC-YOLO11s lies in the optimization of the detection network structure, which includes the following aspects: Firstly, PC-YOLO11s has adjusted the hierarchical structure of the detection network and added a P2 layer specifically for small object detection.
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