Validated Stability-Indicating HPLC–DAD Determination of the Antihypertensive Binary Mixture of Carvedilol and Hydrochlorothiazide in Tablet Dosage Forms

A simple and selective HPLC with diode array detection stability-indicating method was developed for the simultaneous determination of the antihypertensive drugs carvedilol (CRV) and hydrochlorothiazide (HCT) in their combined formulations. Effective chromatographic separation was achieved using Zorbax SB-C8 column (4.6 × 250 mm, 5 μm) with gradient elution of the mobile phase composed of 0.025 M phosphoric acid and acetonitrile at a flow rate of 1 mL min⁻¹. The multiple wavelength detector was set at 242 nm for measurement of CRV and 271 nm for HCT. Quantification was based on measuring the peak areas. The cited drugs were resolved with retention times 4.9 and 6.7 min for HCT and CRV, respectively. Analytical performance of the proposed HPLC procedure was thoroughly validated with respect to system suitability, linearity, ranges, precision, accuracy, specificity, robustness, detection and quantification limits. The linearity ranges were 5–300 and 5–200 μg mL⁻¹ for CRV and HCT, respectively, with correlation coefficients >0.9996. Both drugs were subjected to stress conditions of acidic and alkaline hydrolysis, oxidation, photolysis and thermal degradation. The proposed method proved to be stability-indicating by resolution of the drugs from their forced degradation products. Moreover, specificity of the method was verified by resolution of both drugs from more than 20 pharmaceutical compounds of various medicinal categories. The validated HPLC method was applied to the analysis of the cited antihypertensive drugs in their combined tablet dosage forms. The proposed method made use of DAD as a tool for peak identity and purity confirmation.

     

Two‐Step Novel Synthesis of 2‐Amino‐6‐(1,3‐dioxo‐2,3‐dihydro‐1H‐inden‐2‐yl)‐4,7‐diphenyloxepine‐3‐carbonitrile and 5‐(1,3‐Dioxo‐2,3‐dihydro‐1H‐inden‐2‐yl)‐2‐imino‐6‐phenyl‐2H‐pyran‐3‐carbonitrile

Starting from indan‐1,3‐dione, a novel two‐step synthesis of the oxepine derivatives 5a,b and the pyran derivatives 7 and 8 under very simple reaction conditions is described.     

Total synthesis of dermostatin A

The concise total synthesis of dermostatin A is described. Highlights include a two-directional application of the asymmetric acetate aldol method developed in our lab, a novel diastereotopic-group-selective acetal isomerization for terminus differentiation, and a selective cross-metathesis reaction between a terminal olefin and a trienal. A study of the scope and viability of similar cross-metathesis reactions is also described. The synthesis is convergent and utilizes fragments of roughly equal complexity.     

Low-energy properties of non-perturbative quantum systems: A space reduction approach

We propose and test a renormalization procedure which acts in Hilbert space. We test its efficiency on strongly correlated quantum spin systems by working out and analyzing the low-energy spectral properties of frustrated quantum spin systems in different parts of the phase diagram and in the neighbourhood of quantum critical points.     

Fingerprints of amorphous icelike behavior in the vibrational density of states of protein hydration water

The low-frequency modes of protein hydration water are investigated by inelastic neutron scattering. Experiments on both protonated and fully deuterated maltose binding protein samples allow us to unambiguously single out the contribution from water. The low-energy vibrational density of states of hydration water at 100 K is similar to the density of states of high- and low-density amorphous ice, and quite different from that of simple forms of crystalline ice. This result can be related to the picture of hydration water mass density depending on the protein surface curvature, which supports its glassy behavior.     

Semi-classical transport for predicting joule heating in carbon nanotubes

A method for predicting the joule heating using Monte Carlo simulation for the electron dynamics is proposed. The joule heating in (10,10) carbon nanotubes is computed. The full energy band is utilized; however the results show that for low temperatures only the lower subband is sufficient, while for temperatures above 900 K, it is important to include all the subbands. Results are compared with a quantum mechanical integral form which uses an approximation for the electron occupation probability. There is a quantitative agreement of the results; however saturation of the heat generated observed in the integral form is not observed.     

Exposing Deep Representations to a Recurrent Expansion with Multiple Repeats for Fuel Cells Time Series Prognosis

The green conversion of proton exchange membrane fuel cells (PEMFCs) has received particular attention in both stationary and transportation applications. However, the poor durability of PEMFC represents a major problem that hampers its commercial application since dynamic operating conditions, including physical deterioration, have a serious impact on the cell performance. Under these circumstances, prognosis and health management (PHM) plays an important role in prolonging durability and preventing damage propagation via the accurate planning of a condition-based maintenance (CBM) schedule. In this specific topic, health deterioration modeling with deep learning (DL) is the widely studied representation learning tool due to its adaptation ability to rapid changes in data complexity and drift. In this context, the present paper proposes an investigation of further deeper representations by exposing DL models themselves to recurrent expansion with multiple repeats. Such a recurrent expansion of DL (REDL) allows new, more meaningful representations to be explored by repeatedly using generated feature maps and responses to create new robust models. The proposed REDL, which is designed to be an adaptive learning algorithm, is tested on a PEMFC deterioration dataset and compared to its deep learning baseline version under time series analysis. Using multiple numeric and visual metrics, the results support the REDL learning scheme by showing promising performances.     

Organoiron polymers containing azo dyes

The synthesis of cationic organoiron polymers with azobenzene moieties in their side chains has been accomplished via nucleophilic aromatic substitution and ring-opening metathesis polymerization (ROMP) reactions. Polyaromatic ethers and thioethers with azobenzene moieties in their side chains were functionalized with different chromophores to yield yellow-, orange- and red-colored polymers. Polynorbornenes with azobenzene-containing side chains were isolated following ROMP of their monomeric analogs. All of the organoiron polymers were soluble in polar organic solvents and underwent reversible electrochemical reduction processes. Photobleaching of the azobenzene-containing polymers was achieved in the presence of hydrogen peroxide. The metallated polymers had glass transition temperatures approximately 50 to 80°C higher than their organic analogs.