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The article presents a new method of monitoring and assessing the course of the dry methane reforming process with the use of a gas sensor array. Nine commercially available TGS chemical gas sensors were used to construct the array (seven metal oxide sensors and two electrochemical ones). Principal Component Regression (PCR) was used as a calibration method. The developed PCR models were used to determine the quantitative parameters of the methane reforming process: Inlet Molar Ratio (IMR) in the range 0.6–1.5, Outlet Molar Ratio (OMR) in the range 0.6–1.0, and Methane Conversion Level (MCL) in the range 80–95%. The tests were performed on model gas mixtures. The mean error in determining the IMR is 0.096 for the range of molar ratios 0.6–1.5. However, in the case of the process range (0.9–1.1), this error is 0.065, which is about 6.5% of the measured value. For the OMR, an average error of 0.008 was obtained (which gives about 0.8% of the measured value), while for the MCL, the average error was 0.8%. Obtained results are very promising. They show that the use of an array of non-selective chemical sensors together with an appropriately selected mathematical model can be used in the monitoring of commonly used industrial processes.
Dominik Dobrzyniewski; Bartosz Szulczyński; Tomasz Dymerski; Jacek Gębicki. Development of Gas Sensor Array for Methane Reforming Process Monitoring. Sensors 2021, 21, 4983 .
AMA StyleDominik Dobrzyniewski, Bartosz Szulczyński, Tomasz Dymerski, Jacek Gębicki. Development of Gas Sensor Array for Methane Reforming Process Monitoring. Sensors. 2021; 21 (15):4983.
Chicago/Turabian StyleDominik Dobrzyniewski; Bartosz Szulczyński; Tomasz Dymerski; Jacek Gębicki. 2021. "Development of Gas Sensor Array for Methane Reforming Process Monitoring." Sensors 21, no. 15: 4983.
Volatile organochlorine compounds (VOXs) present in biogas can cause many technological and environmental problems.
Patrycja Makoś-Chełstowska; Edyta Słupek; Jacek Gębicki. Deep eutectic solvent-based green absorbents for the effective removal of volatile organochlorine compounds from biogas. Green Chemistry 2021, 23, 4814 -4827.
AMA StylePatrycja Makoś-Chełstowska, Edyta Słupek, Jacek Gębicki. Deep eutectic solvent-based green absorbents for the effective removal of volatile organochlorine compounds from biogas. Green Chemistry. 2021; 23 (13):4814-4827.
Chicago/Turabian StylePatrycja Makoś-Chełstowska; Edyta Słupek; Jacek Gębicki. 2021. "Deep eutectic solvent-based green absorbents for the effective removal of volatile organochlorine compounds from biogas." Green Chemistry 23, no. 13: 4814-4827.
Explosives detection systems need to be able to reliably detect a wide range of explosive materials and their vapours. The continued development and improvement of artificial olfaction techniques, including electronic nose (EN), remains important to overcome existing challenges and meet requirements posed by new improvements in the field of explosives. There is an increasingly popular trend aimed at improvement of fundamental metrological parameters of sensors for the construction of sensor arrays for the detection of ultralow target analytes. Even after decades of developments, applications of artificial olfaction instruments aimed at selective and sensitive detection of trace quantities of explosives constitute still a difficult and challenging problem. Essential aspects of artificial olfaction were theoretically discussed with an emphasis on evaluation of enhancing sensors parameters in the detection of explosives. Progress in nanotechnology and prospects in mimicking biological sense of smell successively remove the boundaries of artificial olfaction technologies. A tendency towards improved selectivity and specificity of the sensors is evident. Elaboration of novel sensing materials, data processing systems and sampling procedures are the main approaches to increase sensors’ major metrological parameters. Implementation of designed construction solutions in practice and meeting particular requirements are still a bottleneck in the commercialization process. The demonstration of achievements in artificial olfaction technology during the last couple of years is reviewed and different strategies to enhance their properties are suggested. Moreover, recent technological advancement including bio-inspired strategies, robots, drones and smartphones were described. Finally, we discuss emerging approaches to solve problems accompanied with direct and discriminative detection of explosives and outline future perspectives related to this topic.
Tomasz Wasilewski; Jacek Gębicki. Emerging strategies for enhancing detection of explosives by artificial olfaction. Microchemical Journal 2021, 164, 106025 .
AMA StyleTomasz Wasilewski, Jacek Gębicki. Emerging strategies for enhancing detection of explosives by artificial olfaction. Microchemical Journal. 2021; 164 ():106025.
Chicago/Turabian StyleTomasz Wasilewski; Jacek Gębicki. 2021. "Emerging strategies for enhancing detection of explosives by artificial olfaction." Microchemical Journal 164, no. : 106025.
The paper presents the screening of 20 deep eutectic solvents (DESs) composed of tetrapropylammonium bromide (TPABr) and glycols in various molar ratios, and 6 conventional solvents as absorbents for removal of siloxanes from model biogas stream. The screening was achieved using the conductor-like screening model for real solvents (COSMO-RS) based on the comparison of siloxane solubility in DESs. For the DES which was characterized by the highest solubility of siloxanes, studies of physicochemical properties, i.e., viscosity, density, and melting point, were performed. DES composed of tetrapropylammonium bromide (TPABr) and tetraethylene glycol (TEG) in a 1:3 molar ratio was used as an absorbent in experimental studies in which several parameters were optimized, i.e., the temperature, absorbent volume, and model biogas flow rate. The mechanism of siloxanes removal was evaluated by means of an experimental FT-IR analysis as well as by theoretical studies based on σ-profile and σ-potential. On the basis of the obtained results, it can be concluded that TPABr:TEG (1:3) is a very effective absorption solvent for the removal of siloxanes from model biogas, and the main driving force of the absorption process is the formation of the hydrogen bonds between DES and siloxanes.
Edyta Słupek; Patrycja Makoś-Chełstowska; Jacek Gębicki. Removal of Siloxanes from Model Biogas by Means of Deep Eutectic Solvents in Absorption Process. Materials 2021, 14, 241 .
AMA StyleEdyta Słupek, Patrycja Makoś-Chełstowska, Jacek Gębicki. Removal of Siloxanes from Model Biogas by Means of Deep Eutectic Solvents in Absorption Process. Materials. 2021; 14 (2):241.
Chicago/Turabian StyleEdyta Słupek; Patrycja Makoś-Chełstowska; Jacek Gębicki. 2021. "Removal of Siloxanes from Model Biogas by Means of Deep Eutectic Solvents in Absorption Process." Materials 14, no. 2: 241.
We describe a concept study in which the changes of concentration of benzene, toluene, ethylbenzene, and xylene (BTEX) compounds and styrene within a 3D printer enclosure during printing with different acrylonitrile butadiene styrene (ABS) filaments were monitored in real-time using a proton transfer reaction mass spectrometer and an electronic nose. The quantitative data on the concentration of the BTEX compounds, in particular the concentration of carcinogenic benzene, were then used as reference values for assessing the applicability of an array of low-cost electrochemical sensors in monitoring the exposure of the users of consumer-grade fused deposition modelling 3D printers to potentially harmful volatiles. Using multivariate statistical analysis and machine learning, it was possible to determine whether a set threshold limit value for the concentration of BTEX was exceeded with a 0.96 classification accuracy and within a timeframe of 5 min based on the responses of the chemical sensors.
Wojciech Wojnowski; Kaja Kalinowska; Jacek Gębicki; Bożena Zabiegała. Monitoring the BTEX Volatiles during 3D Printing with Acrylonitrile Butadiene Styrene (ABS) Using Electronic Nose and Proton Transfer Reaction Mass Spectrometry. Sensors 2020, 20, 5531 .
AMA StyleWojciech Wojnowski, Kaja Kalinowska, Jacek Gębicki, Bożena Zabiegała. Monitoring the BTEX Volatiles during 3D Printing with Acrylonitrile Butadiene Styrene (ABS) Using Electronic Nose and Proton Transfer Reaction Mass Spectrometry. Sensors. 2020; 20 (19):5531.
Chicago/Turabian StyleWojciech Wojnowski; Kaja Kalinowska; Jacek Gębicki; Bożena Zabiegała. 2020. "Monitoring the BTEX Volatiles during 3D Printing with Acrylonitrile Butadiene Styrene (ABS) Using Electronic Nose and Proton Transfer Reaction Mass Spectrometry." Sensors 20, no. 19: 5531.
The paper describes the process of n-butanol abatement by unicellular fungi, able to deplete n-butanol content in gas, by using n-butanol as source of carbon. Isolated and identified fungi species Candida albicans and Candida subhashii were subjected to a viability process via assimilation of carbon from hydrophilic and hydrophobic compounds. The isolates, which exhibited the ability to assimilate carbon, were immobilized on four different types of artificial support materials used for biotrickling filtration. Application of optical microscopy, flow cytometry and the tests employing propidium iodide and annexin V revealed viability of the fungi isolated on support materials’ surfaces at the average level of 95%. The proposed method of immobilization and its evaluation appeared to be effective, cheap and fast. Based on performed comparative analyses, it was shown that polyurethane foam and Bialecki rings (25 × 25) could be attractive support materials in biotrickling filtration.
Milena Marycz; Anna Brillowska-Dąbrowska; Jacek Gębicki. Evaluation of Immobilization of Selected Peat-Isolated Yeast Strains of the Species Candida albicans and Candida subhashii on the Surface of Artificial Support Materials Used for Biotrickling Filtration. Processes 2020, 8, 801 .
AMA StyleMilena Marycz, Anna Brillowska-Dąbrowska, Jacek Gębicki. Evaluation of Immobilization of Selected Peat-Isolated Yeast Strains of the Species Candida albicans and Candida subhashii on the Surface of Artificial Support Materials Used for Biotrickling Filtration. Processes. 2020; 8 (7):801.
Chicago/Turabian StyleMilena Marycz; Anna Brillowska-Dąbrowska; Jacek Gębicki. 2020. "Evaluation of Immobilization of Selected Peat-Isolated Yeast Strains of the Species Candida albicans and Candida subhashii on the Surface of Artificial Support Materials Used for Biotrickling Filtration." Processes 8, no. 7: 801.
This paper presents the theoretical screening of 23 low-cost deep eutectic solvents (DESs) as absorbents for effective removal of the main impurities from biogas streams using a conductor-like screening model for real solvents (COSMO-RS). Based on thermodynamic parameters, i.e., the activity coefficient, excess enthalpy, and Henry’s constant, two DESs composed of choline chloride: urea in a 1:2 molar ratio (ChCl:U 1:2), and choline chloride: oxalic acid in a 1:2 molar ratio (ChCl:OA 1:2) were selected as the most effective absorbents. The σ-profile and σ-potential were used in order to explain the mechanism of the absorptive removal of CO2, H2S, and siloxanes from a biogas stream. In addition, an economic analysis was prepared to demonstrate the competitiveness of new DESs in the sorbents market. The unit cost of 1 m3 of pure bio-methane was estimated to be in the range of 0.35–0.37 EUR, which is comparable to currently used technologies.
Edyta Słupek; Patrycja Makoś; Jacek Gębicki. Theoretical and Economic Evaluation of Low-Cost Deep Eutectic Solvents for Effective Biogas Upgrading to Bio-Methane. Energies 2020, 13, 3379 .
AMA StyleEdyta Słupek, Patrycja Makoś, Jacek Gębicki. Theoretical and Economic Evaluation of Low-Cost Deep Eutectic Solvents for Effective Biogas Upgrading to Bio-Methane. Energies. 2020; 13 (13):3379.
Chicago/Turabian StyleEdyta Słupek; Patrycja Makoś; Jacek Gębicki. 2020. "Theoretical and Economic Evaluation of Low-Cost Deep Eutectic Solvents for Effective Biogas Upgrading to Bio-Methane." Energies 13, no. 13: 3379.
In the course of evolution, nature has endowed humans with systems for the recognition of a wide range of tastes with a sensitivity and selectivity which are indispensable for the evaluation of edibility and flavour attributes. Inspiration by a biological sense of taste has become a basis for the design of instruments, operation principles and parameters enabling to mimic the unique properties of their biological precursors. In response to the demand for fast, sensitive and selective techniques of flavouring analysis, devices belonging to the group of bioelectronic tongues (B-ETs) have been designed. They combine achievements of chemometric analysis employed for many years in electronic tongues (ETs), with unique properties of bio-inspired materials, such as natural taste receptors (TRs) regarding receptor/ligand affinity. Investigations of the efficiency of the prototype devices create new application possibilities and suggest successful implementation in real applications. With advances in the field of biotechnology, microfluidics and nanotechnologies, many exciting developments have been made in the design of B-ETs in the last five years or so. The presented characteristics of the recent design solutions, application possibilities, critical evaluation of potentialities and limitations as well as the outline of further development prospects related to B-ETs should contribute to the systematisation and expansion of our knowledge.
Tomasz Wasilewski; Wojciech Kamysz; Jacek Gębicki. Bioelectronic tongue: Current status and perspectives. Biosensors and Bioelectronics 2020, 150, 111923 .
AMA StyleTomasz Wasilewski, Wojciech Kamysz, Jacek Gębicki. Bioelectronic tongue: Current status and perspectives. Biosensors and Bioelectronics. 2020; 150 ():111923.
Chicago/Turabian StyleTomasz Wasilewski; Wojciech Kamysz; Jacek Gębicki. 2020. "Bioelectronic tongue: Current status and perspectives." Biosensors and Bioelectronics 150, no. : 111923.
Biofiltration is a well-accepted method for the removal of malodorous compounds from air streams. Interestingly, the mechanisms underlying this process are not fully understood. The aim of this paper was to investigate the simultaneous removal of hydrophobic hexane with hydrophilic ethanol, resulting in the enhanced removal of hexane in the presence of ethanol. Investigations were performed in a peat-perlite packed biotrickling filter and the process performance was monitored using both gas chromatography and electronic nose techniques. The results indicate that the length as well as the efficiency of biofiltration during the start-up period depend on the feed composition, with higher efficiency obtained when hexane and ethanol were fed together from the process initiation. The experiments in the steady-state period present the biofilter performance when different ratios of hydrophilic to hydrophobic compounds were fed to the biofilter. The obtained results show the synergistic effects of the addition of a hydrophilic compound on the removal efficiency of hydrophobic hexane. The influence of the ratio of hydrophilic to hydrophobic compounds is discussed in terms of enhancing the mass transfer phenomena for hydrophobic volatile organic compounds.
Piotr Rybarczyk; Bartosz Szulczyński; Jacek Gębicki. Simultaneous Removal of Hexane and Ethanol from Air in a Biotrickling Filter—Process Performance and Monitoring Using Electronic Nose. Sustainability 2020, 12, 387 .
AMA StylePiotr Rybarczyk, Bartosz Szulczyński, Jacek Gębicki. Simultaneous Removal of Hexane and Ethanol from Air in a Biotrickling Filter—Process Performance and Monitoring Using Electronic Nose. Sustainability. 2020; 12 (1):387.
Chicago/Turabian StylePiotr Rybarczyk; Bartosz Szulczyński; Jacek Gębicki. 2020. "Simultaneous Removal of Hexane and Ethanol from Air in a Biotrickling Filter—Process Performance and Monitoring Using Electronic Nose." Sustainability 12, no. 1: 387.
There is an increasingly popular trend aimed at improvement of fundamental metrological parameters of sensors via implementation of materials mimicking biological olfactory systems. This study presents investigation on usefulness of the peptide mimicking HarmOBP7 region as a receptor element of the piezoelectric sensor for selective analysis of long-chain aldehydes. Identification of odorant binding proteins creates new possibilities for design of peptides mimicking binding properties of their volatile compounds. Exploration of OBPs and new peptide sequences capable to effectively bind volatile compounds is necessary to enhance artificial olfaction. For the development of biosensors where simple detection is crucial rather than identification of subsequent metabolic activity, the use of sub-protein components (e.g. ligand-binding regions or synthetic peptides) is still escalating. Bearing all this in mind, a segment of a peptide sequence associated with a specific function of HarmOBP7 (involved in binding the long-chain aldehydes) has been designed, synthesised and immobilised on a piezoelectric transducer. The results of in silico investigations were correlated with the experimental measurements of gas substances. The correlated results confirm a high selectivity of the KLLFDSLTDLKKKMSEC-based sensor with respect to long-chain aliphatic aldehydes including octanal, decanal, undecanal, nonanal and helional. Odorant molecules interact with recognition peptide with specific affinities. The lowest limit of detection, 14 ppm was calculated for nonanal. The results can throw a new light on the possibility of synthetic peptide application as a receptor layer in biosensors in odorants analysis.
Tomasz Wasilewski; Bartosz Szulczyński; Marek Wojciechowski; Wojciech Kamysz; Jacek Gębicki. Determination of long-chain aldehydes using a novel quartz crystal microbalance sensor based on a biomimetic peptide. Microchemical Journal 2019, 154, 104509 .
AMA StyleTomasz Wasilewski, Bartosz Szulczyński, Marek Wojciechowski, Wojciech Kamysz, Jacek Gębicki. Determination of long-chain aldehydes using a novel quartz crystal microbalance sensor based on a biomimetic peptide. Microchemical Journal. 2019; 154 ():104509.
Chicago/Turabian StyleTomasz Wasilewski; Bartosz Szulczyński; Marek Wojciechowski; Wojciech Kamysz; Jacek Gębicki. 2019. "Determination of long-chain aldehydes using a novel quartz crystal microbalance sensor based on a biomimetic peptide." Microchemical Journal 154, no. : 104509.
The aim of this study was to describe the clinical and sonographic features of ovarian metastases originating from colorectal cancer (mCRC), and to discriminate mCRC from primary ovarian cancer (OC). We conducted a multi-institutional, retrospective study of consecutive patients with ovarian mCRC who had undergone ultrasound examination using the International Ovarian Tumor Analysis (IOTA) terminology, with the addition of evaluating signs of necrosis and abdominal staging. A control group included patients with primary OC. Clinical and ultrasound data, subjective assessment (SA), and an assessment of different neoplasias in the adnexa (ADNEX) model were evaluated. Fisher’s exact and Student’s t-tests, the area under the receiver–operating characteristic curve (AUC), and classification and regression trees (CART) were used to conduct statistical analyses. In total, 162 patients (81 with OC and 81 with ovarian mCRC) were included. None of the patients with OC had undergone chemotherapy for CRC in the past, compared with 40% of patients with ovarian mCRC (p < 0.001). The ovarian mCRC tumors were significantly larger, a necrosis sign was more frequently present, and tumors had an irregular wall or were fixed less frequently; ascites, omental cake, and carcinomatosis were less common in mCRC than in primary OC. In a subgroup of patients with ovarian mCRC who had not undergone treatment for CRC in anamnesis, tumors were larger, and had fewer papillations and more locules compared with primary OC. The highest AUC for the discrimination of ovarian mCRC from primary OC was for CART (0.768), followed by SA (0.735) and ADNEX calculated with CA-125 (0.680). Ovarian mCRC and primary OC can be distinguished based on patient anamnesis, ultrasound pattern recognition, a proposed decision tree model, and an ADNEX model with CA-125 levels.
Maciej Stukan; Juan Luis Alcazar; Jacek Gębicki; Elizabeth Epstein; Marcin Liro; Alexandra Sufliarska; Sebastian Szubert; Stefano Guerriero; Elena Ioana Braicu; Mariusz Szajewski; Małgorzata Pietrzak-Stukan; Daniela Fischerova. Ultrasound and Clinical Preoperative Characteristics for Discrimination Between Ovarian Metastatic Colorectal Cancer and Primary Ovarian Cancer: A Case-Control Study. Diagnostics 2019, 9, 210 .
AMA StyleMaciej Stukan, Juan Luis Alcazar, Jacek Gębicki, Elizabeth Epstein, Marcin Liro, Alexandra Sufliarska, Sebastian Szubert, Stefano Guerriero, Elena Ioana Braicu, Mariusz Szajewski, Małgorzata Pietrzak-Stukan, Daniela Fischerova. Ultrasound and Clinical Preoperative Characteristics for Discrimination Between Ovarian Metastatic Colorectal Cancer and Primary Ovarian Cancer: A Case-Control Study. Diagnostics. 2019; 9 (4):210.
Chicago/Turabian StyleMaciej Stukan; Juan Luis Alcazar; Jacek Gębicki; Elizabeth Epstein; Marcin Liro; Alexandra Sufliarska; Sebastian Szubert; Stefano Guerriero; Elena Ioana Braicu; Mariusz Szajewski; Małgorzata Pietrzak-Stukan; Daniela Fischerova. 2019. "Ultrasound and Clinical Preoperative Characteristics for Discrimination Between Ovarian Metastatic Colorectal Cancer and Primary Ovarian Cancer: A Case-Control Study." Diagnostics 9, no. 4: 210.
Production of biofuels from biomass is expected to benefit the society and the environment. At present, bio waste residues processing includes hydrolysis, dark fermentation, photofermentation, pyrolysis, gasification, and chemical synthesis. As the composition and the chemical structure of organic substances affect the efficiency of mentioned processes, it is believed that the glucose concentration is a crucial parameter for the evaluation of the efficiency of biological processes. Also, the control of by-products formulated during each stage of biomass processing affects the course of dark fermentation. Therefore, model processes regarding mesophilic and thermophilic dark fermentation were carried out. Glucose as a sole carbon source was applied as the fermentation broth and Faloye-pretreated activated municipal wastewater sludge was introduced as the source of sporulating microorganisms. Production of hydrogen and methane was controlled by means of sensor matrices. Obtained results are comparable to those obtained using the standard method based on gas chromatography and indicate the suitability of their application for online routine analyses of hydrogen and methane during fermentation processes. In addition, the fermentation broth was also examined by means of gas and liquid chromatography in the scope of glucose reduction, and generation of volatile fatty acids and phenols.
Edyta Słupek; Patrycja Makoś; Karolina Kucharska; Jacek Gębicki. Mesophilic and thermophilic dark fermentation course analysis using sensor matrices and chromatographic techniques. Chemical Papers 2019, 74, 1573 -1582.
AMA StyleEdyta Słupek, Patrycja Makoś, Karolina Kucharska, Jacek Gębicki. Mesophilic and thermophilic dark fermentation course analysis using sensor matrices and chromatographic techniques. Chemical Papers. 2019; 74 (5):1573-1582.
Chicago/Turabian StyleEdyta Słupek; Patrycja Makoś; Karolina Kucharska; Jacek Gębicki. 2019. "Mesophilic and thermophilic dark fermentation course analysis using sensor matrices and chromatographic techniques." Chemical Papers 74, no. 5: 1573-1582.
Over the past decade, deep eutectic solvents (DES) have been widely studied and applied in sample preparation techniques. Until recently, most of the synthesized DES were hydrophilic, which prevented their use in the extraction of aqueous samples. However, after 2015 studies on the synthesis and application of hydrophobic deep eutectic solvents (HDES) has rapidly expanded. Due to unique properties of HDES i.e. density, viscosity, acidity or basicity, polarity and volatility, good extractabilities for various target analytes, which could be altered by careful selection of the hydrogen bond donor (HBD) and hydrogen bond acceptor (HBA) components, HDES are promising alternatives to the traditional organic solvents employed in sample preparation. Moreover, the possibility HDES synthesis of non-toxic ingredients, makes HDES meet all the standards of green analytical chemistry. Practical applications of HDES in sample preparation include conventional liquid-liquid extraction, and several types of liquid-phase microextraction, as well as solid phase extraction. The present review covers a comprehensive summarizing of available literature data on the most important physicochemical properties of HDES playing a key role in aqueous sample preparation methods, their limitations as well as challenges in this area, and a perspective of their future are described.
Patrycja Makoś; Edyta Słupek; Jacek Gębicki. Hydrophobic deep eutectic solvents in microextraction techniques–A review. Microchemical Journal 2019, 152, 104384 .
AMA StylePatrycja Makoś, Edyta Słupek, Jacek Gębicki. Hydrophobic deep eutectic solvents in microextraction techniques–A review. Microchemical Journal. 2019; 152 ():104384.
Chicago/Turabian StylePatrycja Makoś; Edyta Słupek; Jacek Gębicki. 2019. "Hydrophobic deep eutectic solvents in microextraction techniques–A review." Microchemical Journal 152, no. : 104384.
This paper presents the results of investigations on the removal of cyclohexane vapors from air using a peat-perlite packed biotrickling filter. Effects of basic process parameters i.e. inlet loading and empty bed residence time as well as introduction of n-butanol to the treated air stream and starvation periods on the process performance were evaluated. The results show that the introduction of hydrophilic n-butanol results in an enhanced removal of hydrophobic cyclohexane comparing to the experiments where only cyclohexane was treated. Additionally, the biotrickling filter performance after the starvation events is regained to more extent for mixed system than for the single cyclohexane. A novel and interesting element of the paper is the application of an electronic nose for the process monitoring. Obtained results are discussed in the perspective of an influence of the presence of a compound with different affinity to aqueous phase on the removal efficiency of the compound with opposite chemical properties.
Piotr Rybarczyk; Bartosz Szulczyński; Milena Gospodarek; Jacek Gębicki. Effects of n-butanol presence, inlet loading, empty bed residence time and starvation periods on the performance of a biotrickling filter removing cyclohexane vapors from air. Chemical Papers 2019, 74, 1039 -1047.
AMA StylePiotr Rybarczyk, Bartosz Szulczyński, Milena Gospodarek, Jacek Gębicki. Effects of n-butanol presence, inlet loading, empty bed residence time and starvation periods on the performance of a biotrickling filter removing cyclohexane vapors from air. Chemical Papers. 2019; 74 (3):1039-1047.
Chicago/Turabian StylePiotr Rybarczyk; Bartosz Szulczyński; Milena Gospodarek; Jacek Gębicki. 2019. "Effects of n-butanol presence, inlet loading, empty bed residence time and starvation periods on the performance of a biotrickling filter removing cyclohexane vapors from air." Chemical Papers 74, no. 3: 1039-1047.
This paper presents the results of research on determining the optimal length of a peptide chain to effectively bind octanal molecules. Peptides that map the aldehyde binding site in HarmOBP7 were immobilized on piezoelectric transducers. Based on computational studies, four Odorant Binding Protein-derived Peptides (OBPPs) with different sequences were selected. Molecular modelling results of ligand docking with selected peptides were correlated with experimental results. The use of low-molecular synthetic peptides, instead of the whole protein, enabled the construction OBPPs-based biosensors. This work aims at developing a biomimetic piezoelectric OBPPs sensor for selective detection of octanal. Moreover, the research is concerned with the ligand binding affinity depending on different peptides’ chain lengths. The authors believe that the chain length can have a substantial influence on the type and effectiveness of peptide–ligand interaction. A confirmation of in silico investigation results is the correlation with the experimental results, which shows that the highest affinity to octanal is exhibited by the longest peptide (OBPP4 – KLLFDSLTDLKKKMSEC-NH2). We hypothesized that the binding of long chain aldehydes to the peptide, mimicking the binding site of HarmOBP7, induced a conformational change in the peptide deposited on a selected transducer. The constructed OBPP4-based biosensors were able to selectively bind octanal in the gas phase. It was also shown that the sensors were characterized by high selectivity with respect to octanal, as well as to acetaldehyde and benzaldehyde. The results indicate that the OBPP4 peptide, mimicking the binding domain in the Odorant Binding Protein, can provide new opportunities for the development of biomimicking materials in the field of odor biosensors.
Tomasz Wasilewski; Bartosz Szulczyński; Marek Wojciechowski; Wojciech Kamysz; Jacek Gębicki. A Highly Selective Biosensor Based on Peptide Directly Derived from the HarmOBP7 Aldehyde Binding Site. Sensors 2019, 19, 4284 .
AMA StyleTomasz Wasilewski, Bartosz Szulczyński, Marek Wojciechowski, Wojciech Kamysz, Jacek Gębicki. A Highly Selective Biosensor Based on Peptide Directly Derived from the HarmOBP7 Aldehyde Binding Site. Sensors. 2019; 19 (19):4284.
Chicago/Turabian StyleTomasz Wasilewski; Bartosz Szulczyński; Marek Wojciechowski; Wojciech Kamysz; Jacek Gębicki. 2019. "A Highly Selective Biosensor Based on Peptide Directly Derived from the HarmOBP7 Aldehyde Binding Site." Sensors 19, no. 19: 4284.
Biogas from landfills and wastewater treatment facilities typically contain a wide range of volatile organic compounds (VOCs), that can cause severe operational problems when biogas is used as fuel. Among the contaminants commonly occur aromatic compounds, i.e. benzene, ethylbenzene, toluene and xylenes (BTEX). In order to remove BTEX from biogas, different processes can be used. A promising process for VOCs removal is their absorption in deep eutectic solvents (DES). In this work, three DES: ([ChCl] U TEG [choline chloride]:urea:tetraethylene glycol (1:2:2), [ChCl] U [choline chloride]:urea (1:2), [ChCl] DEG [choline chloride]:diethylene glycol (1:2)) and water were tested to toluene absorption in concentration of 2000 ppm v/v in nitrogen stream. The results demonstrated the high absorption capacity of toluene using DES based on glycols.
Edyta Słupek; Patrycja Makoś; Jacek Gębicki; Andrzej Rogala. Purification of model biogas from toluene using deep eutectic solvents. E3S Web of Conferences 2019, 116, 00078 .
AMA StyleEdyta Słupek, Patrycja Makoś, Jacek Gębicki, Andrzej Rogala. Purification of model biogas from toluene using deep eutectic solvents. E3S Web of Conferences. 2019; 116 ():00078.
Chicago/Turabian StyleEdyta Słupek; Patrycja Makoś; Jacek Gębicki; Andrzej Rogala. 2019. "Purification of model biogas from toluene using deep eutectic solvents." E3S Web of Conferences 116, no. : 00078.
This paper presents the application of artificial neural networks and decision trees for the prediction of odor properties of post-fermentation sludge from a biological-mechanical wastewater treatment plant. The input parameters were concentrations of popular compounds present in the sludge, such as toluene, p-xylene, and p-cresol, and process parameters including the concentration of volatile fatty acids, pH, and alkalinity in the fermentation sludge. The analyses revealed that the implementation of artificial neural networks allowed the prediction of the values of odor intensity and the hedonic tone of the post-fermentation sludge at the level of 30% mean absolute percentage error. Application of the decision tree made it possible to determine what input parameters the fermentation feed should have in order to arrive at the post-fermentation sludge with an odor intensity −1. It was shown that the aforementioned phenomenon was influenced by the following factors: concentration of p-xylene, pH, concentration of volatile fatty acids, and concentration of p-cresol.
Hubert Byliński; Andrzej Sobecki; Jacek Gębicki. The Use of Artificial Neural Networks and Decision Trees to Predict the Degree of Odor Nuisance of Post-Digestion Sludge in the Sewage Treatment Plant Process. Sustainability 2019, 11, 4407 .
AMA StyleHubert Byliński, Andrzej Sobecki, Jacek Gębicki. The Use of Artificial Neural Networks and Decision Trees to Predict the Degree of Odor Nuisance of Post-Digestion Sludge in the Sewage Treatment Plant Process. Sustainability. 2019; 11 (16):4407.
Chicago/Turabian StyleHubert Byliński; Andrzej Sobecki; Jacek Gębicki. 2019. "The Use of Artificial Neural Networks and Decision Trees to Predict the Degree of Odor Nuisance of Post-Digestion Sludge in the Sewage Treatment Plant Process." Sustainability 11, no. 16: 4407.
Biotrickling filtration is one of the techniques used to reduce odorants in the air. It is based on the aerobic degradation of pollutants by microorganisms located in the filter bed. The research presents the possibility of using the electronic nose prototype combined with artificial neural network for biofiltration process monitoring in terms of reduction in n-butanol concentration and odour intensity of treated air. The study was conducted using two-section biotrickling filter packed with a commercially available mixture of peat and perlite during 42 days with different n-butanol inlet concentrations, i.e., 100, 200, 400, and 800 ppm. During the tests, a concentration and odour intensity removal efficiency of around 90% and 20% was obtained, respectively. It has been shown that the highest values were obtained for an inlet n-butanol concentration of 200–400 ppm.
Bartosz Szulczyński; Piotr Rybarczyk; Milena Gospodarek; Jacek Gębicki. Biotrickling filtration of n-butanol vapors: process monitoring using electronic nose and artificial neural network. Monatshefte für Chemie - Chemical Monthly 2019, 150, 1667 -1673.
AMA StyleBartosz Szulczyński, Piotr Rybarczyk, Milena Gospodarek, Jacek Gębicki. Biotrickling filtration of n-butanol vapors: process monitoring using electronic nose and artificial neural network. Monatshefte für Chemie - Chemical Monthly. 2019; 150 (9):1667-1673.
Chicago/Turabian StyleBartosz Szulczyński; Piotr Rybarczyk; Milena Gospodarek; Jacek Gębicki. 2019. "Biotrickling filtration of n-butanol vapors: process monitoring using electronic nose and artificial neural network." Monatshefte für Chemie - Chemical Monthly 150, no. 9: 1667-1673.
Measurement and monitoring of air quality in terms of odor nuisance is an important problem. From a practical point of view, it would be most valuable to directly link the odor intensity with the results of analytical air monitoring. Such a solution is offered by electronic noses, which thanks to the possibility of holistic analysis of the gas sample, allow estimation of the odor intensity of the gas mixture. The biggest problem is the occurrence of odor interactions between the mixture components. For this reason, methods that can take into account the interaction between components of the mixture are used to analyze data from the e-nose. In the presented study, the fuzzy logic algorithm was proposed for determination of odor intensity of binary mixtures of eight odorants: n-Hexane, cyclohexane, toluene, o-xylene, trimethylamine, triethylamine, α-pinene, and β-pinene. The proposed algorithm was compared with four theoretical perceptual models: Euclidean additivity, vectorial additivity, U model, and UPL model.
Bartosz Szulczyński; Jacek Gębicki. Determination of Odor Intensity of Binary Gas Mixtures Using Perceptual Models and an Electronic Nose Combined with Fuzzy Logic. Sensors 2019, 19, 3473 .
AMA StyleBartosz Szulczyński, Jacek Gębicki. Determination of Odor Intensity of Binary Gas Mixtures Using Perceptual Models and an Electronic Nose Combined with Fuzzy Logic. Sensors. 2019; 19 (16):3473.
Chicago/Turabian StyleBartosz Szulczyński; Jacek Gębicki. 2019. "Determination of Odor Intensity of Binary Gas Mixtures Using Perceptual Models and an Electronic Nose Combined with Fuzzy Logic." Sensors 19, no. 16: 3473.
Atmospheric air quality is one of the key factors influencing human health. Air quality evaluation is not an easy task as the atmosphere is a complex system subjected to continuous changes in time. Observed progress in the development of measurement devices and technologies is fundamental for acquisition of more reliable information about condition and quality of atmospheric air. Unfortunately, this process leads to an increase in the monitoring and air quality evaluation cost, which limits their widespread application. Accordingly, there is a search for new, cheap, alternative methods of information acquisition about air quality in the field of both new chemical sensors and sensor matrices. The technologies are developed, which allow monitoring of hardly accessible and dangerous for human placed where air pollution occurred. Moreover, the paper presents and discusses current measurement tools utilized for atmospheric air quality evaluation. The development trends connected with atmospheric air monitoring were also presented.
Jacek Gębicki; Bartosz Szulczyński. Remote Monitoring of Environmental Pollutants. Green Chemistry and Sustainable Technology 2019, 325 -352.
AMA StyleJacek Gębicki, Bartosz Szulczyński. Remote Monitoring of Environmental Pollutants. Green Chemistry and Sustainable Technology. 2019; ():325-352.
Chicago/Turabian StyleJacek Gębicki; Bartosz Szulczyński. 2019. "Remote Monitoring of Environmental Pollutants." Green Chemistry and Sustainable Technology , no. : 325-352.