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PLS-LS-SVM based modeling of ATR-IR as a robust method in detection and qualification of alprazolam.

Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy
According to the United States pharmacopeia (USP), Gold standard technique for Alprazolam determination in dosage forms is HPLC, an expensive and time-consuming method that is not easy to approach. In this study chemometrics assisted ATR-IR was intro...

Comparative study between UHPLC-UV and UPLC-MS/MS methods for determination of alogliptin and metformin in their pharmaceutical combination.

Die Pharmazie
A new UPLC-MS/MS method (method A), for simultaneous determination of alogliptin (ALN) and metformin (MET) in their recently approved pharmaceutical combination Kazano® tablets, was developed and compared to a new UHPLC-UV method (method B). Concerni...

STABILITY INDICATIVE HPLC DETERMINATION OF RELATED SUBSTANCES AND IDENTIFICATION OF POTENTIAL DEGRADANTS USING LC-MS IN TRIPLE COMBINATION ANTIRETROVIRAL TABLETS.

Acta poloniae pharmaceutica
A rapid stability indicating liquid chromatography method was developed and validated for the simultaneous quantitation of related substances of antiretrovirals in combined oral dosage formulation. Separation was achieved using a Waters, Xterra RP-18...

Prediction of Dissolution Data Integrated in Tablet Database Using Four-Layered Artificial Neural Networks.

Chemical & pharmaceutical bulletin
A large number of dissolution data were measured and integrated into a previously constructed tablet database composed of 14 kinds of compounds as model active pharmaceutical ingredients (APIs) with contents ranging from 10 to 80%. The database has c...

Analysis of Closely Related Antioxidant Nutraceuticals Using the Green Analytical Methodology of ANN and Smart Spectrophotometric Methods.

Journal of AOAC International
Two new, simple, and specific green analytical methods are proposed: zero-crossing first-derivative and chemometric-based spectrophotometric artificial neural network (ANN). The proposed methods were used for the simultaneous estimation of two closel...

Computational intelligence models to predict porosity of tablets using minimum features.

Drug design, development and therapy
The effects of different formulations and manufacturing process conditions on the physical properties of a solid dosage form are of importance to the pharmaceutical industry. It is vital to have in-depth understanding of the material properties and g...

Artificial Intelligence Tools for Scaling Up of High Shear Wet Granulation Process.

Journal of pharmaceutical sciences
The results presented in this article demonstrate the potential of artificial intelligence tools for predicting the endpoint of the granulation process in high-speed mixer granulators of different scales from 25L to 600L. The combination of neurofuzz...

First study of the evolution of the SeDeM expert system parameters based on percolation theory: Monitoring of their critical behavior.

European journal of pharmaceutics and biopharmaceutics : official journal of Arbeitsgemeinschaft fur Pharmazeutische Verfahrenstechnik e.V
The deep understanding of products and processes has become a requirement for pharmaceutical industries to follow the Quality by Design principles promoted by the regulatory authorities. With this aim, SeDeM expert system was developed as a useful pr...

Development of an ANN optimized mucoadhesive buccal tablet containing flurbiprofen and lidocaine for dental pain.

Acta pharmaceutica (Zagreb, Croatia)
A novel mucoadhesive buccal tablet containing flurbiprofen (FLB) and lidocaine HCl (LID) was prepared to relieve dental pain. Tablet formulations (F1-F9) were prepared using variable quantities of mucoadhesive agents, hydroxypropyl methyl cellulose (...

Video tracking for high-similarity drug tablets based on reflective lightness intensity and fuzzy recognition system.

Proceedings of the Institution of Mechanical Engineers. Part H, Journal of engineering in medicine
Video tracking of drug tablet exerts important influences on the efficiency and reliability of its mass production; this topic also becomes a difficult and targeted focus for pharmaceutical production monitory in the past several years due to the hig...