Graphene oxide/polydopamine-polyacrylamide nanocomposite was synthesized by a simple method and used as adsorbent for dispersive micro-solid-phase extraction of phenobarbital in plasma samples. The adsorbent was characterized by Fourier-transform infrared spectroscopy, X-ray diffraction, scanning electron microscopy–energy dispersive spectroscopy and thermal gravimetric analysis. The results show that functionalization of graphene oxide by polymeric materials can enhance the sorption properties and thermal stability of the prepared adsorbent. Influential parameters on the extraction efficiency of Phenobarbital including adsorbent amount, elution solvent and its volume, sorption and desorption times and pH of sample solution were investigated and optimized. Under the optimized conditions, limits of detection and quantitation values were 1.4 and 5ng/mL, respectively. Relative recovery data for several real samples were obtained within the range of 84.0-98.0% with a relative standard deviation less than 7.2%. The proposed method was successfully applied to quantitative determination of phenobarbital in plasma samples. تفاصيل المقالة

مطالعه ارتباط کمی ساختار-فعالیت (QSAR) مبتنی بر الگوریتم ژنتیک رگرسیون خطی چندگانه (GA-MLR) برای پیشگویی سمیت (logIC50) و لگاریتم ضریب توزیع اکتانول-آب (logPow) برخی مشتقات کاربامات به عنوان آفت کش انجام شد. ساختار ترکیبات شیمیایی با نرم افزاز گوسین 98 و روش هارتری‌فاک و سری پایه G*31-6 (HF/6-31G*) بهینه شدند. توصیفگرهای مولکولی با نرم‌افزار دراگون محاسبه شد. مجموعه داده‌ها به‌ طور تصادفی به دو دسته آموزش و آزمون تقسیم گردیدند. مناسب‌ترین توصیف‌گرهای با استفاده از روش الگوریتم ژنتیک وبرگشتی تعیین شدند. بهترین مدل GA-MLR با استفاده از پارامترهای آماری مانند مجذور ضریب همبستگی (R2)، ضریب همبستگی تنظیم شده (R2adj)، ریشه مربعات میانگین خطا (RMSE) برای دودسته آموزش و آزمون انتخاب گردید. بهترین مدل QSAR مبتنی بر پارامترهای آماری اعتبارسنجی تقاطعی آزمون خارجی (LOO)، پارمترهای اعتبارسنجی خارجی (Q2F1, Q2F2, Q2F3) و ضریب همبستگی تطابق (CCC) برای کیفیت توانایی پیشگویی مدل GA-MLR بررسی گردید. این نتایج نشان می دهد که مدل‌ های GA-MLR می‌تواند برای پیشگویی فعالیت مشتقات کاربامات مورد استفاده قرار گیرد. تفاصيل المقالة

Background & Aim:Phytomedicine or herbal medicine, refers to the use of plants to treat diseases and promote good health. Anti-oxidative and anti-inflammatory characteristics of the medicinal herbs make them logical adjuvant to improve wound healing. The aim of this study was to evaluate the wound healing potential of Biarum straussiis’ (B. straussii) rhizome extract on cutaneous wounds in rats.Experimental: Adult male rats (n=18) were divided into three groups (n=6), as group A, B and C. Then, full-thickness, square shape cutaneous wounds were created on the skin. In group A, as negative control, the wound area was only washed using normal saline solution; in group B as positive control, the wound was treated using phenytoin and the wound treatment using B. straussii rhizome extract was done in group C, as experimental subject. The progressive changes in wounds of each group were evaluated for the contraction degree on days 4,7,10 and 14. The tissue samples of the wound area were removed from each group on day 14, fixed in 10% formalin and finally stained with H&E for histological examination. Data analysis was carried out using one-way ANOVA test, followed by Tukey-Kramer test (p <0.05).Results: The wound contraction was higher in group treated with B. straussii extractthan in control group at 7th, 10th and 14th days (p <0.0001). The histological analysis showed a significant accelerated wound contraction, complete re-epithelialization, and tissue recovery due to the topical application of B. straussii rhizome extract.Recommended applications/ industries: It can be concluded that the rhizome extract of B. straussii is favorable for cutaneous wound healing in rats and would be considered as a medicinal plant, but further studies are required to reach more definitive results. تفاصيل المقالة