نشریه شیمی و مهندسی شیمی ایران

نشریه شیمی و مهندسی شیمی ایران

شبکه های عصبی مصنوعی برای مدل سازی خواص نانوذرات پلیمری بر پایه پلی لاکتیک - کو - گلایکولیک اسید برای دارورسانی

نوع مقاله : علمی-پژوهشی

نویسندگان
1 گروه مهندسی برق، دانشکده فناوری‌های صنعتی، دانشگاه صنعتی اورمیه، اورمیه، ایران
2 گروه مهندسی شیمی، دانشکده انرژی‌های تجدیدپذیر، دانشگاه صنعتی اورمیه، اورمیه، ایران
چکیده
برای تعیین ارتباط پیچیده بین خواص مختلف پلیمر و نیز عوامل روش تهیه نانوذرات مبتنی بر پلیمر پلی لاکتیک - کو - گلایکولیک اسید (PLGA) در عملکرد آنها به­ عنوان سامانه­ های دارورسانی در مطالعه حاضر از شبکه­ های عصبی مصنوعی استفاده شده است. اثر خواص ورودی بر مولفه­ های مختلف عملکردی شامل اندازه نانوذرات، درصد کپسوله­ شدن دارو، و درصد بارگذاری دارو بررسی شده است. بیش از ۱۸۰ داده­ برای تحقیق حاضر به روش استخراج اطلاعات  از مقالات مرتبط گردآوری شد. عوامل مؤثر به دودسته اصلی: خواص ذاتی پلیمرها و مقادیر قابل تنظیم روش تهیه تقسیم­ بندی شده و اثر هردسته به‌تنهایی، ترکیب دودسته موردنظر با عنوان دسته سوم، و در انتها با افزودن مولفه­ های هدف به ­عنوان دسته چهارم بررسی شد. دسته چهارم برای پیش­بینی اندازه نانوذرات (ضریب تعیین  برابر با 93/0) دقت بهتری داشته، درصورتی‌که درصد کپسوله­ شدن و بارگذاری دارو به ترتیب با عوامل فرایندی (ضریب تعیین 96/0)  و خواص ذاتی پلیمرها (ضریب تعیین 92/0) پیش­ بینی بهتری را ارائه می­ کنند. آنالیز حساسیت برای تشخیص اصلی­ ترین مشخصه‌های­ موثر در هر یک از متغیرهای هدف نشان داد که وجود پلیمر پلی ­اتیلن­ گلایکول (PEG) در ترکیب پلیمری، اندازه نانوذرات، و روش تهیه نانوذرات به ترتیب اصلی­ ترین عوامل موثر در اندازه نانوذرات، درصد کپسوله ­شدن دارو و درصد بارگذاری دارو در می‌باشند.
کلیدواژه‌ها

موضوعات


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