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作者机构:Samundra Inst Maritime Studies Dept Appl Sci Pune 410405 Maharashtra India Symbiosis Int Univ Symbiosis Inst Technol Dept Appl Sci Pune 412115 Maharashtra India Symbiosis Int Deemed Univ Symbiosis Inst Technol Dept Artificial Intelligence & Machine Learning Pune 412115 Maharashtra India Al Farabi Kazakh Natl Univ Biomed Res Ctr Al Farabi Ave 71 Alma Ata 050040 Kazakhstan Bolashaq Ctr Int Programs 70 Syganak Str Astana 010000 Kazakhstan MA Aitkhozhins Inst Mol Biol & Biochem Lab Mol Immunol & Immunobiotechnol Alma Ata Kazakhstan Sarsen Amanzholov East Kazakhstan Univ Higher Sch IT & Nat Sci Ust Kamenogorsk 070010 Kazakhstan Abai Kazakh Natl Pedag Univ Educ Program Geog Environm & Serv Sect Alma Ata Kazakhstan St Miras Coll Girls St Miras Coll Pune India
出 版 物:《ADVANCED COMPOSITES AND HYBRID MATERIALS》 (Adv. Compos. Hybrid. Mater.)
年 卷 期:2025年第8卷第1期
页 面:1-19页
核心收录:
基 金:Taif University, Saudi Arabia [AP13067924] Scientific Committee of the Ministry of Science and Higher Education of the Re-public of Kazakhstan
主 题:Gold nanoparticles Scratch assay HEK-293 cell lines Artemisia schrenkiana Neural networking
摘 要:Gold nanoparticles (Au NPs) are commonly used as anti-haemorrhagic and antiseptic agents. Thus, their cytotoxicity should be studied before application. In this study, the Au NPs were synthesized using biological and chemical routes, and the samples were named as AU-BT and AU-C, respectively. The AU-BT were synthesized using three different extracts, i.e., turmeric, aloe-vera, and a mixture of turmeric aloe-vera. The cytotoxicity was studied using scratch assay on HEK-293 cell lines. The number of scratch assays was increased to validate the experimental wound healing results. Finally, a neural networking modeling was performed to predict the results of provided data in terms of the sample toxicity by healing the wound. The experimental results and the neural networking confirmed that the turmeric-derived Au NPs were the best among all the synthesized samples. Moreover, integrating metal NPs in wound healing studies introduces exciting possibilities for enhanced imaging and therapeutic interventions. The combination of advanced image analysis through models like AlexNet and the novel use of nanoparticles opens doors to improved wound care and a deeper understanding of the healing process.