Extending the SAFT-<mml:math xmlns:mml="http://www.w3.org/1998/Math/MathML" altimg="si1.svg"><mml:mi>γ</mml:mi></mml:math> Mie approach to model benzoic acid, diphenylamine, and mefenamic acid: Solubility prediction and experimental measurement

نویسندگان

چکیده

The prediction of the solubility active pharmaceutical ingredients (APIs) is a significant challenge which importance in applications and solvent selection. Here, we extend table group interactions (3 like interactions, 47 unlike interactions) SAFT-γ Mie group-contribution equation state to model phase behaviour mefenamic acid, nonsteroidal anti-inflammatory drug, range solvents. In addition also consider its molecular synthons: benzoic acid diphenylamine. New experimental data are presented for three molecules solvents, new functional groups defined (aCCOOH, aCNHaC CH3CO) characterised, together with their groups. Literature vapour pressure, single-phase density, saturation vapourisation enthalpy, bubble temperature, dew pressure used characterise interactions. Solubility group-group only if there no other available. transferability predictive accuracy models assessed by comparing theoretical predictions data. Our comparison includes alcohols, ketones, esters as families solvents mixed-solvent predictions.

برای دانلود باید عضویت طلایی داشته باشید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Prediction of the Solubility of Benzoic Acid in Supercritical CO2 Using the PC-SAFT EoS

There are many difficulties in the purification of raw components and products. However, researchers are seeking better ways for purification. One of the recent methods is extraction using supercritical fluids. In this study, the phase equilibria of benzoic acid -supercritical carbon dioxide system were investigated. Regarding the phase equilibria of this system, the modeling of solid-supercrit...

متن کامل

Mefenamic Acid induced nephrotoxicity: an animal model.

PURPOSE Nonsteroidal anti-inflammatory drugs (NSAIDs) are used for the treatment of many joint disorders, inflammation and to control pain. Numerous reports have indicated that NSAIDs are capable of producing nephrotoxicity in human. Therefore, the objective of this study was to evaluate mefenamic acid, a NSAID nephrotoxicity in an animal model. METHODS Mice were dosed intraperitoneally with ...

متن کامل

a frame semantic approach to the study of translating cultural scripts in salingers franny and zooey

the frame semantic theory is a nascent approach in the area of translation studies which goes beyond the linguistic barriers and helps us to incorporate cognitive and cultural factors to the study of translation. based on rojos analytical model (2002b), which centered in the frames or knowledge structures activated in the text, the present research explores the various translation problems that...

15 صفحه اول

the innovation of a statistical model to estimate dependable rainfall (dr) and develop it for determination and classification of drought and wet years of iran

آب حاصل از بارش منبع تأمین نیازهای بی شمار جانداران به ویژه انسان است و هرگونه کاهش در کم و کیف آن مستقیماً حیات موجودات زنده را تحت تأثیر منفی قرار می دهد. نوسان سال به سال بارش از ویژگی های اساسی و بسیار مهم بارش های سالانه ایران محسوب می شود که آثار زیان بار آن در تمام عرصه های اقتصادی، اجتماعی و حتی سیاسی- امنیتی به نحوی منعکس می شود. چون میزان آب ناشی از بارش یکی از مولفه های اصلی برنامه ...

15 صفحه اول

Mefenamic acid enteropathy.

The clinical, radiological, and histological features of two patients with severe intestinal damage induced by mefenamic acid and mimicking coeliac disease are described. Symptoms rapidly reverted on withdrawal of the drug, and in one case, did not relapse during treatment with other non-steroidal anti-inflammatory drugs.

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: Fluid Phase Equilibria

سال: 2021

ISSN: ['0378-3812', '1879-0224']

DOI: https://doi.org/10.1016/j.fluid.2021.113002