Ivana Savic-Gajic

Detection of epileptiform activity in EEG signals based on time-frequency and non-linear analysis

We present a new technique for detection of epileptiform activity in EEG signals. After preprocessing of EEG signals we extract representative features in time, frequency and time-frequency domain as well as using non-linear analysis. The features are extracted in a few frequency sub-bands of clinical interest since these sub-bands showed much better discriminatory characteristics compared with the whole frequency band. Then we optimally reduce the dimension of feature space to two using scatter matrices. A decision about the presence of epileptiform activity in EEG signals is made by quadratic classifiers designed in the reduced two-dimensional feature space. The accuracy of the technique was tested on three sets of electroencephalographic (EEG) signals recorded at the University Hospital Bonn: surface EEG signals from healthy volunteers, intracranial EEG signals from the epilepsy patients during the seizure free interval from within the seizure focus and intracranial EEG signals of epileptic seizures also from within the seizure focus. An overall detection accuracy of 98.7% was achieved.

Optimization of technological procedure for amygdalin isolation from plum seeds (Pruni domesticae semen)

The process of amygdalin extraction from plum seeds was optimized using central composite design (CCD) and multilayer perceptron (MLP). The effect of time, ethanol concentration, solid-to-liquid ratio, and temperature on the amygdalin content in the extracts was estimated using both mathematical models. The MLP 4-3-1 with exponential function in hidden layer and linear function in output layer was used for describing the extraction process. MLP model was more superior compared with CCD model due to better prediction ability. According to MLP model, the suggested optimal conditions are: time of 120 min, 100% (v/v) ethanol, solid-to liquid ratio of 1:25 (m/v) and temperature of 34.4°C. The predicted value of amygdalin content in the dried extract (25.42 g per 100 g) at these conditions was experimentally confirmed (25.30 g per 100 g of dried extract). Amygdalin (>90%) was isolated from the complex extraction mixture and structurally characterized by FT-IR, UV, and MS methods.

Thermosensitive hydrogels for modified release of ellagic acid obtained from Alchemilla vulgaris L. extract

ABSTRACT Stimulus-sensitive hydrogels are used as carriers for modified release of pharmaceuticals. The synthesis of thermosensitive hydrogels poly(N-isopropylacrylamide), p(NIPAM), and poly(N-isopropylacrylamide-co-2-hydroxypropyl methacrylate), p(NIPAM-HPMet), is performed. The synthesized hydrogels are characterized using FTIR and scanning electron microscope methods and swelling properties, and applied for modified release of ellagic acid (EA). This work presents the selective extraction of EA, as a natural antioxidant, from the aerial parts of Alchemilla vulgaris L. EA and A. vulgaris extract are incorporated into p(NIPAM) and p(NIPAM-HPMet) hydrogels and characterized by FTIR method. The EA content in the extract by the UHPLC–DAD–HESI–MS/MS method is determined (0.64 mg cm−3). The total flavonoids content in the A. vulgaris extract was determined by the spectrophotometric method. Antioxidant activity of the A. vulgaris extract and EA is examined using the 2,2-diphenyl-1-picrylhydrazyl assay. The p(NIPAM-HPMet) shows a better incorporation and release at 37°C of EA standard and A. vulgaris extract (98.87 and 96.45% respectively), compared with p(NIPAM). GRAPHICAL ABSTRACT

Online Condition Monitoring of Bearings to Support Total Productive Maintenance in the Packaging Materials Industry

The packaging materials industry has already recognized the importance of Total Productive Maintenance as a system of proactive techniques for improving equipment reliability. Bearing faults, which often occur gradually, represent one of the foremost causes of failures in the industry. Therefore, detection of their faults in an early stage is quite important to assure reliable and efficient operation. We present a new automated technique for early fault detection and diagnosis in rolling-element bearings based on vibration signal analysis. Following the wavelet decomposition of vibration signals into a few sub-bands of interest, the standard deviation of obtained wavelet coefficients is extracted as a representative feature. Then, the feature space dimension is optimally reduced to two using scatter matrices. In the reduced two-dimensional feature space the fault detection and diagnosis is carried out by quadratic classifiers. Accuracy of the technique has been tested on four classes of the recorded vibrations signals, i.e., normal, with the fault of inner race, outer race, and ball operation. The overall accuracy of 98.9% has been achieved. The new technique can be used to support maintenance decision-making processes and, thus, to increase reliability and efficiency in the industry by preventing unexpected faulty operation of bearings.

Modeling and optimization of bioactive compounds from chickpea seeds (Cicer arietinum L)

ABSTRACT The aim of study was to model and optimize the extraction of polyphenols and flavonoids with expressed antioxidant activity from chickpea seeds using a central composite design. The optimal extraction conditions were the extraction time of 145.5 min, ethanol concentration of 83.7% and liquid-to-solid ratio of 24.9 (expressed as cm3 per g). The content of total polyphenol and flavonoid was 2.75 g gallic acid equivalent per kilogram of the dried extract and 0.147 g rutin equivalent per kilogram of the dried extract, respectively. Using 2,2-diphenyl-1-picrylhydrazyl assay, it was found that the optimal extract had the IC50 of 1.55 mg cm−3.

The effect of complexation with cyclodextrins on the antioxidant and antimicrobial activity of ellagic acid

Abstract Purpose: The aim of the paper was to develop the simple procedures for preparation of inclusion complexes of ellagic acid (EA) with cyclodextrins (CDs) and to investigate their antioxidant and antimicrobial activity. Methods: The structural characterization was carried out using Fourier transform infrared spectroscopy (FTIR), X-ray diffraction (XRD), and nuclear magnetic resonance (NMR) methods. The phase solubility technique was used to investigate the interactions between ‘host’ and ‘guest’ molecules and to estimate the molar ratio between them. The antioxidant and antimicrobial activity of EA and inclusion complexes were determined. Results: The apparent stability constants were found to be 117 dm3 mol−1 for the complex with β-CD and 161 dm3 mol−1 for the complex with (2-hydroxypropyl)-β-cyclodextrin (HP-β-CD). The results of phase-solubility studies showed that EA formed the inclusion complexes with CDs in the molar ratio of 1:1. The calculated half-maximal inhibitory concentration was 41.18 μg cm−3 for butyl hydroxy toluene, 1.96 μg cm−3 for EA, 0.88 μg cm−3 for inclusion complex with HP-β-CD, and 1.27 μg cm−3 for inclusion complex with β-CD. Conclusion: The stability constants indicated the rapid release of EA from the inclusion complexes in the aqueous medium at 25 °C. The antioxidant activity of EA was increased, while the antimicrobial activity was preserved after complexation with CDs.

Preparation, characterization and antimicrobial activity of inclusion complex of biochanin A with (2‐hydroxypropyl)‐β‐cyclodextrin

An inclusion complex of biochanin A (BCA) with (2‐hydroxypropyl)‐β‐cyclodextrin (HP‐β‐CD) was prepared in the ethanol solution to improve its water solubility.