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Total 77 records

    Drug delivery performance of nanocarriers based on adhesion and interaction for abdominal aortic aneurysm treatment

    , Article International Journal of Pharmaceutics ; Volume 594 , 2021 ; 03785173 (ISSN) Ebrahimi, S ; Vatani, P ; Amani, A ; Shamloo, A ; Sharif University of Technology
    Elsevier B.V  2021
    Abstract
    Targeted drug delivery using nanocarriers (NCs) is one of the novel techniques that has recently been used to improve drug delivery to the Abdominal aortic aneurysm (AAA) disease. The purpose of this study is to evaluate the surface density of NCs (SDNC) adhered via ligand-receptor binding to the inner wall of AAA. For this purpose, fluid–structure interaction (FSI) analysis was first performed for the patient-specific and ideal AAA models. Then, by injecting NCs into the aortic artery, the values of SDNC adhered to and interacted with AAA wall were obtained. Two types of NCs, liposomes, and solid particles in four different diameters, were used to investigate the effect of the diameter and... 

    Discrimination between Alzheimer's disease and control group in MR-images based on texture analysis using artificial neural network

    , Article ICBPE 2006 - 2006 International Conference on Biomedical and Pharmaceutical Engineering, Singapore, 11 December 2006 through 14 December 2006 ; 2006 , Pages 79-83 ; 8190426249 (ISBN); 9788190426244 (ISBN) Torabi, M ; Ardekani, R. D ; Fatemizadeh, E ; Sharif University of Technology
    2006
    Abstract
    In this study, we have proposed a novel method investigates MR-Images for normal and abnormal brains which effected by Alzheimer's Disease (AD) to extract 336 number of different features based on texture analysis. Before applying this algorithm, we have to use a registration method because of variety in size of normal and abnormal images. Consequently, the output of Texture Analysis System (TAS) is a vector containing 336 elements that are features extracted from texture. This vector is considered as the input of the Artificial Neural Network (ANN) which is feed-forward one. The features extracted from the Gray-level Co-occurrence Matrix (GLCM) have been interpreted and compared with normal... 

    Development of a nanocellulose composite based voltammetric sensor for vitamin B9 analysis

    , Article Current Nanoscience ; Volume 12, Issue 4 , 2016 , Pages 493-499 ; 15734137 (ISSN) Ghalkhani, M ; Shahrokhian, S ; Sharif University of Technology
    Bentham Science Publishers B.V 
    Abstract
    As a B group vitamins, vitamin B9 is a Water-soluble vitamin which is produced by plants and microorganisms (bacteria and yeasts). Vitamin B9 plays an important role in the production of proteins and nucleic acids in body and also is one of the substances that prevents the development of neural tube defects in the fetus. Methods: Electrochemical behavior of vitamin B9 was studied using a potentiostat/galvanostat SAMA 500, electroanalyzer system, I. R. Iran. A three-electrode system was used, including a glassy carbon working electrode (d = 2.0 mm, purchased from Azar Electrode Co., Urmia, I.R. Iran), an Ag/AgCl (saturated KCl) reference electrode and a Pt wire auxiliary electrode.... 

    Correlation and prediction of small to large sized pharmaceuticals solubility, and crystallization in binary and ternary mixed solvents using the UNIQUAC-SAC model

    , Article Fluid Phase Equilibria ; Volume 519 , 2020 Yousefi Seyf, J ; Asgari, M ; Sharif University of Technology
    Elsevier B.V  2020
    Abstract
    The recently reported UNIversal QUAsiChemical Segment Activity coefficient (UNIQUAC-SAC) model [developed by Haghtalab and Yousefi Seyf Ind. Eng. Chem. Res. 2015, 54, 8611] provides a practical thermodynamic framework to be used in VLE, LLE, and SLE calculations. The UNIQUAC-SAC model has the advantage of being independent of area (q) and volume (r) structural parameters used in the combinatorial part. While the UNIFAC or UNIFAC-DMD could not apply to the 47% (44 of 94) of the studied molecules because of the undefined groups. Here, the numbers of solvents with identified segment numbers were extended from 82 to 130 with a slight refinement to the previous values. The model parameters... 

    Composite of methyl polysiloxane and avocado biochar as adsorbent for removal of ciprofloxacin from waters

    , Article Environmental Science and Pollution Research ; Volume 29, Issue 49 , 2022 , Pages 74823-74840 ; 09441344 (ISSN) Teixeira, R. A ; Lima, E. C ; Benetti, A. D ; Thue, P. S ; Lima, D. R ; Sher, F ; dos Reis, G. S ; Rabiee, N ; Seliem, M. K ; Abatal, M ; Sharif University of Technology
    Springer Science and Business Media Deutschland GmbH  2022
    Abstract
    Two carbon composite materials were prepared by mixing avocado biochar and methyl polysiloxane (MK). Firstly, MK was dissolved in ethanol, and then the biochar was added at different times. In sample 1 (R1), the time of adding biochar was immediately after dissolving MK in ethanol, and in sample 2 (R2), after 48 h of MK dissolved in ethanol. The samples were characterized by nitrogen adsorption/desorption measurements obtaining specific surface areas (SBET) of 115 m2 g−1 (R1) and 580 m2 g−1 (R2). The adsorbents were further characterized using scanning electron microscopy, FTIR and Raman spectroscopy, adsorption of vapors of n-heptane and water, thermal analysis, Bohem titration, pHpzc, and... 

    Combination of multiple classifiers with fuzzy integral method for classifying the EEG signals in brain-computer interface

    , Article ICBPE 2006 - 2006 International Conference on Biomedical and Pharmaceutical Engineering, Singapore, 11 December 2006 through 14 December 2006 ; 2006 , Pages 157-161 ; 8190426249 (ISBN); 9788190426244 (ISBN) Shoaie, Z ; Esmaeeli, M ; Shouraki, S. B ; Sharif University of Technology
    2006
    Abstract
    In this paper we study the effectiveness of using multiple classifier combination for EEG signal classification aiming to obtain more accurate results than it possible from each of the constituent classifiers. The developed system employs two linear classifiers (SVM,LDA) fused at the abstract and measurement levels for integrating information to reach a collective decision. For making decision, the majority voting scheme has been used. While at the measurement level, two types of combination methods have been investigated: one used fixed combination rules that don't require prior training and a trainable combination method. For the second type, the fuzzy integral method was used. The... 

    Breast cancer diagnosis and classification in MR-images using multi-stage classifier

    , Article ICBPE 2006 - 2006 International Conference on Biomedical and Pharmaceutical Engineering, Singapore, 11 December 2006 through 14 December 2006 ; 2006 , Pages 84-87 ; 8190426249 (ISBN); 9788190426244 (ISBN) Ardekani, R. D ; Torabi, M ; Fatemizadeh, E ; Sharif University of Technology
    2006
    Abstract
    in this paper we present an integrated classifier that is used in mammogram MR-image for classification of breast cancers and abnormalities using a Multi-stage classifier, the method developed here first classifies mammograms into normal and abnormal and then for abnormal cases determines that if the case cancer is benign or malignant and also determine the type of breast cancer. In this paper there are two main topics that must be considered. First one is selection of good features and second is designing a good structure for classifier. In this study, the features are a combination of some features that are extracted from Spatial Grey Level Dependency matrix and some statistical descriptor... 

    A sensitive colorimetric detection of ascorbic acid in pharmaceutical products based on formation of anisotropic silver nanoparticles

    , Article Scientia Iranica ; Volume 17, Issue 2 F , 2010 , Pages 148-153 ; 10263098 (ISSN) Hormozi Nezhad, M. R ; Karimi, M. A ; Shahheydari, F ; Sharif University of Technology
    2010
    Abstract
    A sensitive colorimetric method for the detection of ascorbic acid was proposed in this research based on the reduction of silver ions by ascorbic acid in the presence of citrate-stabilized silver seeds, additional trisodium citrate and a polymer such as polyvinylpyrrolidone. The color of the stable sol is controlled by varying the concentration of trisodium citrate (TSC), polyvinylpyrrolidone, silver nitrate and silver seeds. The reduction of Ag + to triangle silver nanoparticles (Ag-NPs) by ascorbic acid in the presence of trisodium citrate (TSC) and silver seeds produced two very intense surface plasmon resonance peaks of Ag-NPs. The plasmon absorbance of Ag-NPs allows the quantitative... 

    A robust R&D project portfolio optimization model for pharmaceutical contract research organizations

    , Article International Journal of Production Economics ; Vol. 158, issue , 2014 , p. 18-27 Hassanzadeh, F ; Modarres, M ; Nemati, H. R ; Amoako-Gyampah, K ; Sharif University of Technology
    Abstract
    Pharmaceutical drug Research and Development (R&D) outsourcing to contract research organizations (CROs) has experienced a significant growth in recent decades and the trend is expected to continue. A key question for CROs and firms in similar environments is which projects should be included in the firm's portfolio of projects. As a distinctive contribution to the literature this paper develops and evaluates a business support tool to help a CRO decide on clinical R&D project opportunities and revise its portfolio of R&D projects given the existing constraints, and financial and resource capabilities. A new mathematical programming model in the form of a capital budgeting problem is... 

    Application of moving bed biofilm reactor in the removal of pharmaceutical compounds (diclofenac and ibuprofen)

    , Article Journal of Environmental Chemical Engineering ; Volume 6, Issue 4 , 2018 , Pages 5530-5535 ; 22133437 (ISSN) Fatehifar, M ; Borghei, S. M ; Ekhlasi Nia, A ; Sharif University of Technology
    Elsevier Ltd  2018
    Abstract
    Pharmaceutical waste has attracted significant attention in the past two decades due to the current high consumption of pharmaceuticals together with the development of reliable detection technologies. In order to acquire better understanding on pharmaceuticals removal in biological processes, the treatment of synthetic wastewater containing diclofenac (DFN) and ibuprofen (IBU), two of the most commonly prescribed medicines worldwide, was studied using a moving bed biofilm reactor (MBBR). An 8.5-L aerobic MBBR with Kaldnes packing filling ratio of 40% was designed. The controlled parameters were pH within neutral range, temperature of 37 °C, mixed liquor suspended solids (MLSS) of 2100 mg/L,... 

    A perspective to the correlation between brain insulin resistance and Alzheimer: Medicinal chemistry approach

    , Article Current Diabetes Reviews ; Volume 15, Issue 4 , 2019 , Pages 255-258 ; 15733998 (ISSN) Rabiee, N ; Bagherzadeh, M ; Rabiee, M ; Sharif University of Technology
    Bentham Science Publishers  2019
    Abstract
    Substantial terms have been recognized on the associated risk elements, comorbidities as well as, putative pathophysiological processes of Alzheimer disease and related dementias (ADRDs) as well as, type 2 diabetes mellitus (T2DM), a few from greatest important disease from the moments. Very much is considered regarding the biology and chemistry of each predicament, nevertheless T2DM and ADRDs are an actually similar pattern developing from the similar origins of maturing or synergistic conditions connected by aggressive patho-corporeal terms and continues to be ambiguous. In this depth-critique article, we aimed to investigate all possibilities and represented a novel and applicable... 

    A perspective to the correlation between brain insulin resistance and alzheimer: medicinal chemistry approach

    , Article Current Diabetes Reviews ; Volume 15, Issue 4 , 2019 , Pages 255-258 ; 15733998 (ISSN) Rabiee, N ; Bagherzadeh, M ; Rabiee, M ; Sharif University of Technology
    Bentham Science Publishers  2019
    Abstract
    Substantial terms have been recognized on the associated risk elements, comorbidities as well as, putative pathophysiological processes of Alzheimer disease and related dementias (ADRDs) as well as, type 2 diabetes mellitus (T2DM), a few from greatest important disease from the moments. Very much is considered regarding the biology and chemistry of each predicament, nevertheless T2DM and ADRDs are an actually similar pattern developing from the similar origins of maturing or synergistic conditions connected by aggressive patho-corporeal terms and continues to be ambiguous. In this depth-critique article, we aimed to investigate all possibilities and represented a novel and applicable... 

    Antibacterial properties of nanoporous graphene oxide/cobalt metal organic framework

    , Article Materials Science and Engineering C ; Volume 104 , 2019 ; 09284931 (ISSN) Hatamie, S ; Ahadian, M. M ; Soufi Zomorod, M ; Torabi, S ; Babaie, A ; Hosseinzadeh, S ; Soleimani, M ; Hatami, N ; Wei, Z. H ; Sharif University of Technology
    Elsevier Ltd  2019
    Abstract
    Metal-organic framework (MOF) based graphene oxide (GO) recently merits of attention because of the relative correspondence of GO with metal ions and organic binding linkers. Furthermore, introducing the GO to the Co-MOF to make a new nanoporous hybrid have are improved the selectivity and stability of the Co-MOF. Here the graphene oxide/cobalt metal organic framework (GO/Co-MOF) was synthesized by a solvothermal process using cobalt salt and terephthalic acid and used for biocidal activity, against the growth of the Gram-negative Escherichia coli and Gram-positive Staphylococcus aureus bacteria. X-ray diffraction, Fourier transform infrared spectroscopy and Raman spectroscopy were confirmed... 

    A new order splitting model with stochastic lead times for deterioration items

    , Article International Journal of Systems Science ; Vol. 45, Issue. 9 , 2014 , pp. 1936-1954 ; ISSN: 00207721 Sazvar, Z ; Jokar, M. R. A ; Baboli, A ; Sharif University of Technology
    Abstract
    In unreliable supply environments, the strategy of pooling lead time risks by splitting replenishment orders among multiple suppliers simultaneously is an attractive sourcing policy that has captured the attention of academic researchers and corporate managers alike. While various assumptions are considered in the models developed, researchers tend to overlook an important inventory category in order splitting models: deteriorating items. In this paper, we study an order splitting policy for a retailer that sells a deteriorating product. The inventory system is modelled as a continuous review system (s, Q) under stochastic lead time. Demand rate per unit time is assumed to be constant over... 

    A new approach for the in vitro identification of the cytotoxicity of superparamagnetic iron oxide nanoparticles

    , Article Colloids and Surfaces B: Biointerfaces ; Volume 75, Issue 1 , 2010 , Pages 300-309 ; 09277765 (ISSN) Mahmoudi, M ; Simchi, A ; Imani, M ; Shokrgozar, M. A ; Milani, A. S ; Häfeli, U. O ; Stroeve, P ; Sharif University of Technology
    Abstract
    Superparamagnetic iron oxide nanoparticles (SPIONs) are increasingly used in medical applications, such as targeting delivery and imaging. In the future, patients are more likely to be exposed to pharmaceutical products containing such particles. The study of toxicity of SPIONs has become of great importance in recent years, although the published data in this arena is limited. The aim of the present work is to investigate the cytotoxicity of SPIONs and the effect of the particles on the cell medium components. For this purpose, uncoated and polyvinyl alcohol (PVA) coated SPIONs with narrow size distribution were synthesized via a well-known coprecipitation method. The mouse fibroblast cell... 

    Amine modified magnetic polystyrene for extraction of drugs from urine samples

    , Article Journal of Chromatography A ; Volume 1602 , 2019 , Pages 107-116 ; 00219673 (ISSN) Zeinali, S ; Maleki, M ; Bagheri, H ; Sharif University of Technology
    Elsevier B.V  2019
    Abstract
    Polystyrene is one of the best candidates as the extracting medium due to its high stability in different media and acceptable extraction capability. However, the hydrophobic nature and low wettability of polystyrene limits its application to non–polar analytes. To resolve this limitation, in this project, amine groups were chemically attached to the surface of magnetic polystyrene. The resulting hydrophilic magnetic particles were expected to be capable of extracting both polar and non–polar analytes. Non–steroidal anti–inflammatory drugs (NSAIDs) were chosen for testing the applicability of modified magnetic polystyrene according to the importance of their analysis and also their wide... 

    A correlative model to predict in vivo AUC for nanosystem drug delivery with release rate-limited absorption

    , Article Journal of Pharmacy and Pharmaceutical Sciences ; Volume 15, Issue 4 , 2012 , Pages 583-591 ; 14821826 (ISSN) Barzegar Jalali, M ; Mohammadi, K ; Mohammadi, G ; Valizadeh, H ; Barzegar Jalali, A ; Adibkia, K ; Nokhodchi, A ; Sharif University of Technology
    2012
    Abstract
    Purpose. Drug release from nanosystems at the sites of either absorption or effect biophase is a major determinant of its biological action. Thus, in vitro drug release is of paramount importance in gaining insight for the systems performance in vivo. Methods. A novel in vitro in vivo correlation, IVIVC, model denoted as double reciprocal area method was presented and applied to 19 drugs from 55 nano formulations with total 336 data, gathered from literature. Results. The proposed model correlated the in vitro with in vivo parameters with overall error of 12.4 ± 3.9%. Also the trained version of the model predicted the test formulations with overall error of 15.8 ± 3.7% indicating the...