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Title
نانوبیوکامپوزیت سلولز تقویت شده با نانوذرات ZnO بعنوان جاذب کارآمد جهت میکرو استخراج با جاذب پر شده ی اپی نفرین و اندازه گیری آن توسط رنگ سنجی دیجیتال تصویر
Type of Research Thesis
Keywords
میکرو استخراج با جاذب پر شده ، اپی نفرین، نانوبیوکامپوزیت، سلولز، نانوذرات ZnO، رنگ سنجی تصویری دیجیتال
Abstract
Therapeutic contaminants have appeared as a momentous class of environmental chemicals owing to their extensive usage and imperfect elimination in conventional wastewater treatment methods. Among these, epinephrine is a hormone and neurotransmitter used to treat allergic reactions, restore cardic rhythm, and control mucosal congestion, glaucoma, and asthma. Epinephrine is normally produced by adrenal glands and by a small number of neurons in the medulla oblongata. Epinephrine can be quantified in blood, plasma, or serum as a diagnostic aid, to monitor therapeutic administration, and to identify the causative agent in a potential poisoning victim. From an environmental viewpoint, epinephrine has been assessed in wastewater and natural waters, rising worries about medicinal pollution. Its persistence and partial elimination in conventional treatment methods highlight the necessity for accuracy, eco friendly determination technique MEPS offers notable methodological advantages, including reduced solvent consumption, decreased sample and reagent costs, and compatibility with automated or semi-automated workflows. Digital image colorimetry (DIC) has appeared as a influential alternative to conventional spectrophotometric methods. DIC refers to a colorimetric analysis method based on digitizing images collected by some image acquisition tools, such as mobile phones, digital cameras, webcams, scanners, and other devices that capture images. In addition, smartphones and digital cameras are the preferred devices in DIC due to their portability and convenience, surpassing webcams and scanners. DIC is gaining widespread acknowledgment as a powerful, fast, and cost-effective solution for analyzing the concentration of target analytes through the assessment of color changes in digital images by various image processing software/app. This analytical measurements, making them accessible outside specialized laboratories and enabling rapid, on-site monitoring. The technique is part
Researchers (Student)، Zahra Ayazi (Primary Advisor)، Habib Razmi (Advisor)