Complex Composition Research Articles

Exploring the untapped practices in bacterial-fungal mixed-based cultures for acidic treatment of metal-enriched printed circuit board waste

This study explores the extraction of metals from spent mobile phone printed circuit boards (SMPhPCBs) to address environmental and resource depletion concerns. The challenges in metal recovery from SMPhPCBs arise due to their complex composition and high metal content. While previous research has primarily focused on using bio-cyanide, bio-sulfate, and bio-ferric compounds from acidophilic bacteria, the potential of bio-oxalic acid for SMPhPCBs treatment and the alteration of their complex structure has not yet been explored. Additionally, this study suggests evaluating the untapped potential of Aspergillus niger in oxalic acid production through mixed cultures with bacteria, marking a pioneering approach. A unique culture of Bacillus megaterium and A. niger was created, inducing bio-stress by bacterial metabolites, including gluconic acid (2683 mg/l) and live/dead bacterial cells in a medium with glucose deficiency. Results demonstrated reducing sugar consumption and oxalic acid over-production in mixed cultures compared to pure cultures, ranging from 1350 to 4951 mg/l at an initial glucose concentration (IGC) of 10 g/l and 4276 to 7460 mg/l at IGC 20 g/l. This over-production is attributed to proposed fungal signaling mechanisms to bacteria. Metal extraction using organic acids and siderophores at 10 g/l pulp density, 24 h, and 60 °C yielded Mn (100 %), Pt (100 %), Pd (70.7 %), Fe (50.8 %), Co (48.3 %), Al (21.8 %), among others. The final valuable residue containing copper, gold, and silver holds potential for future recycling. The study concludes with XRD and FTIR analyses to assess the bioleaching effect on the bio-leached powder.

Growth and characterization of rubidium titanyl phosphate thin films by pulsed laser deposition

The mm2 orthorhombic potassium titanyl phosphate crystal, i.e. KTiOPO4 (KTP), is a famous biaxial nonlinear optical crystal widely used commercially for second harmonic generation (SHG) or optical parametric oscillation (OPO) pumped by a 1.064 μm Nd:YAG laser for example. Most of its applications are based on bulk single KTP crystals. However, there is a strong interest to elaborate submicrometric waveguides in the framework of integrated photonic device. Such waveguides could be a serious alternative to efficient low energy nonlinear optical devices in particular for Telecom or spectroscopic applications.PLD is a technique particularly well suited for growing single oxides films with complex chemical composition. This technique consists in a high energy laser ablation of a material with the same chemical composition than that of the desired layer. The plasma of the ablated material is then condensed on the substrate and heated to a temperature such as the aggregates can self-organize on the atomic lattice of the substrate leading to the epitaxial layer.In this study, we performed epitaxial growth of the RbTiOPO4 (RTP) phase on KTP single crystals by PLD. The target that has been used was a single RTP crystal. However, by chemical analysis and XRay diffraction we demonstrated that due to alkali interdiffusion between film and substrate, it was not possible to achieve a pure layer of RTP but most likely an mixed stoichiometry KxRb(1-x) TiOPO4 but still in epitaxy.

The complex composition of organic aerosols emitted during burning varies between Arctic and boreal peat

AbstractPeatlands in the northern hemisphere are a major carbon storage but face an increased risk of wildfires due to climate change leading to large-scale smoldering fires in boreal and Arctic peatlands. Smoldering fires release organic carbon rich particulate matter, which influences the earth’s radiative balance and can cause adverse health effects for humans. Here we characterize the molecular composition of biomass burning particulate matter generated by laboratory burning experiments of peat by electrospray ionization 21 T Fourier-transform ion cyclotron resonance mass spectrometry, revealing a highly complex mixture of aromatic and aliphatic organic compounds with abundant heteroatoms including oxygen, sulfur and up to five nitrogen atoms. Primary organosulfur species are identified in the emissions of peat-smoldering, in part also containing nitrogen. Differences are observed when comparing structural motifs as well as the chemical composition of boreal and Arctic peat burning emissions, with the latter containing compounds with more nitrogen and sulfur.

Unwrapping the (glyco-)lipidome in the microalgae Microchloropsis gaditana: Effects of eco-friendly extraction methods

Microalgae have recently captivated worldwide attention because of their extraordinary lipid composition, which includes essential omega-3 and omega-6 long-chain polyunsaturated fatty acids (LC-PUFA), neutral lipids, and more complex lipids (glycolipids and phospholipids), as well as eicosanoids. To explore this further, we present a novel (glyco-)lipidomics strategy, including a green chemistry extraction approach, liquid chromatography high-resolution mass spectrometry (LC-HRMS) lipid profiling, and a comprehensive data evaluation workflow. Using untargeted lipidomics based on LC-HRMS approaches, we studied the lipid composition up to the molecular species level of the microalgae Microchloropsis gaditana (formerly Nannochloropsis gaditana), focusing on the distribution of saturated, monounsaturated, and polyunsaturated fatty acids in different lipid classes. Our analysis successfully identified 520 lipid molecular species from 18 lipid classes. Regarding fatty acid composition, our primary focus was on elucidating the distribution of LC-PUFA across the different microalgal lipid classes. This particular strategy holds potential as it may unravel the use of microalgal lipids as innovative sources of food ingredients. Our findings show that LC-PUFA are relatively elevated in membrane lipids, in which cholesterol esters (ChE) have the highest PUFA share (94 %), followed by polar membrane lipids (glycolipids and phospholipids), with phosphatidylethanolamines (PE) up to 67 %, phosphatidylglycerols (PG) up to 47 %, and monogalactosyldiacylglycerols (MGDG) up to 47 % PUFA content. This highlights the high percentage of PUFA in the structural parts of microalgae and the importance of these lipid classes as a reservoir for PUFA. Finally, we also compared a classical Folch extraction method with environmentally friendly ultrasound-assisted extraction approaches and enzymatic pre-treatments to investigate the lipid composition and enrichment of valuable lipid classes. Thus, this extensive analysis of the (glyco-)lipidome of Microchloropsis gaditana provides valuable insights into the existing knowledge about this microalgae species, enhancing our understanding of the complex lipid composition and opening up new opportunities for potential applications in the biotechnology and food industry.

Mechanisms of Understanding: Nikolay A. Rubakin’s Mnema Theory

The study provides a brief overview of the Mnema Theory, a bibliopsychological theory based on the achievements in physiology and evolutionary biology formulated by Russian bibliographer, book critic, popularizer of science and writer Nikolai Alexandrovich Rubakin (Nicholas Rubakin), and the one which allows consistently and vividly reveal the structure of the human psyche, and show the mechanisms associated with understanding in general and understanding words and text, in particular. The Theory of Mnema, although presented to the scientific community at the beginning of the 20th century, is nevertheless highly relevant after a hundred years, and there continues to be more and more evidence pointing to the veracity and credibility of its provisions from modern humanitarian and natural sciences. Nikolay A. Rubakin’s Theory of Mnema is formulated on the basis of three laws of bibliopsychology: Zemon’s Law, Humboldt-Potebnya’s Law and Teng’s Law, and shows the structure of the human psyche in the form of mnema, which is a system of records received from external stimuli. According to Nikolay A. Rubakin’s theory, the mnema are a complex open system that is in a state of permanent development, and is always being added to and is continually changing. The complex composition of the reader’s mnema determines the perception and interpretation of a text, which is also understood as the external stimulus that generates a set of engrams and their activation leading to their subsequent ecphorias, as well as the projections that a reader receives when understanding texts. The validity of Nikolay A. Rubakin’s Theory of Mnema is confirmed by psychophysiological experiments aimed at measuring the semantic proximity of words (experiments of A.R. Luria and O.S. Vinogradova), psychological and psycholinguistic experiments (for example, Rorschach tests and various kinds of associative experiments), as well as the achievements of the philological science itself with regard to the study of the space of artistic and non-artistic text, the actual images of the author and the characteristics of the interpretations of the text by readers and researchers.

Computational modeling of Chlamydomonas reinhardtii cellular radiation properties with synergistic consideration of complex structures and compositions.

The radiation characteristics of microalgae are of great significance for the design of photobioreactors and ocean optical remote sensing. Yet the complex structure of microalgae makes it difficult to theoretically predict its radiation characteristics based on traditional Mie theory. In this work, taking Chlamydomonas reinhardtii as an example, a multi-component cell model with a complex structure is proposed, which considers the organelles and shape of microalgae, and the volume change during the production of Chlamydomonas reinhardtii lipids. The theoretical calculation is carried out using the discrete dipole approximation method, and an improved transmission method is used for experimental measurement. The experimental data are compared and analyzed with the multi-component complex structure model, the homogeneous sphere model and the coated sphere model. The results show that the calculation accuracy of the multi-component complex structure model is higher, the error of the scattering cross-section is reduced by more than 8.6% compared with the homogeneous sphere model and coated sphere model, and the absorption cross-section and the scattering phase function are in good agreement with the experimental results. With the increase of lipids, the absorption cross-section and the scattering phase function vary slightly. However, the scattering cross-section has an observed change with increasing wavelength. In addition, the theoretical calculation error can be reduced when the influence of the culture medium is taken into account.

Comprehensive Characterization of Triterpene Saponins in Rhizoma Panacis Japonici by Offline Two-Dimensional Liquid Chromatography Coupled to Quadrupole Time-of-Flight Mass Spectrometry.

Rhizoma Panacis Japonici (RPJ) is an ancient herbal medicine from China that has long been employed for its medicinal benefits in relieving arthritis physical debility and diverse afflictions. The primary bioactive constituents found in RPJ are triterpene saponins, which exhibit numerous pharmacological actions, including anti-inflammatory, antioxidant, and immunomodulating effects. The present study established a straightforward and effective approach for characterizing triterpene saponins in RPJ. An offline HILIC × RP LC/QTOF-MS method was developed, along with a self-constructed in-house database containing 612 saponins reported in the Panax genus and 228 predicted metabolites. The approach achieved good chromatographic performance in isolating triterpene saponins of RPJ, with the HILIC column as the first dimension (1D) and the BEH C18 column as the second dimension (2D). The developed two-dimensional liquid chromatography system exhibited an orthogonality of 0.61 and a peak capacity of 1249. Detection was performed using a QTOF mass spectrometer in a data-independent manner (MSE) in a negative ion mode. Using the in-house database, the collected MS data were processed by an automatic workflow on UNIFI 1.8.2 software, which included data correction, matching of precursor and product ions, and peak annotation. In this study, 307 saponins were characterized from RPJ and 76 saponins were identified for the first time in Panax japonicus. This research not only enhances our understanding of the chemical characteristics of RPJ but also offers a simple and efficient method for analyzing the complex composition of herbal medicine.

Ammonia oxidation by in-situ chloride electrolysis in etching wastewater of semiconductor manufacturing using RuSnOx/Ti electrode: Effect of plating mode and metal ratio

The indirect chloride-mediated ammonia oxidation encounters challenges in maintaining the effectiveness of metal oxide anodes when treating wastewaters with complex compositions. This study aims to develop a highly stable anode with RuO2-SnO2 coatings for treating an etching effluent from semiconductor manufacturing, which majorly contains NH3 and organic compounds. The RuSnOx/Ti electrode was synthesized using wet impregnation and calcination processes. The metal oxide configuration on Ti plate substrate was tuned by varying the step-dipping process in RuCl3 and SnCl4 baths. A 10-day continuous-flow electrolysis was conducted for studying the ammonia removal and chlorine yield under variable conditions, including detention, pH, current density, and initial ammonia and chloride concentrations. In the RuSnOx coatings, the configuration comprising RuO2 nanorods as the surface layer and an intermediate layer of SnO2 crystallites (by plating Ru3+ for three times to cover one Sn4+ layer, denoted as the Ru3Sn/Ti electrode) exhibited the best durability for acid washing, along with relatively high Faradaic efficiency and low energy consumption. To further improve the treatability of real wastewater (NH3-N = 634 mg L−1, chemical oxygen demand (COD) = 6700 mg L−1, Cl- = 2000 mg L−1, pH 11), the duel-cell electrolyzers were constructed in series under a current density of 30 mA cm−2 and 45 min detention. Ultimately, removals of NH3 and COD reached 95.8% and 76.3%, respectively, with successful limitation of chloramine formation.

Experimental and theoretical investigations on the damage evolution of the basalt fiber reinforced concrete under freeze-thaw cycles

Damage and defects in concrete structures are unavoidable due to their complex composition and challenging manufacturing process, which can lead to fatal collapse in service. In the present study, we have conducted a comprehensive investigation on the damage evolution of the basalt fibre-reinforced concrete (BFC) under freeze-thaw cycles, based on experiments and theoretical modelling. We have performed the freeze-thaw cycle experiment on the BFC and measured the curve of the damage-cycling number. Based on the thermodynamic principle, we have derived the expression of the relationship between the damage and the freeze-thaw number. Then, using the attenuation theory as a foundation, we have built another damage model. The experimental data is then fitted using the two established models, and the corresponding parameters are identified. Furthermore, the detailed mechanism of the free-thaw-induced damage has been analysed by the numerical simulation of the thermal stress inside the BFC. These findings cast new light on the deep understanding of the failure of concrete materials, which are beneficial to engineering new materials and new structures in many fields.

Plasmonic nano-bowls for monitoring intra-membrane changes in liposomes, and DNA-based nanocarriers in suspension.

Programmable nanoscale carriers, such as liposomes and DNA, are readily being explored for personalized medicine or disease prediction and diagnostics. The characterization of these nanocarriers is limited and challenging due to their complex chemical composition. Here, we demonstrate the utilization of surface-enhanced Raman spectroscopy (SERS), which provides a unique molecular fingerprint of the analytes while reducing the detection limit. In this paper, we utilize a silver coated nano-bowl shaped polydimethylsiloxane (PDMS) SERS substrate. The utilization of nano-bowl surface topology enabled the passive trapping of particles by reducing mobility, which results in reproducible SERS signal enhancement. The biological nanoparticles' dwell time in the nano-trap was in the order of minutes, thus allowing SERS spectra to remain in their natural aqueous medium without the need for drying. First, the geometry of the nano-traps was designed considering nanosized bioparticles of 50-150 nm diameter. Further, the systematic investigation of maximum SERS activity was performed using rhodamine 6 G as a probe molecule. The potential of the optimized SERS nano-bowl is shown through distinct spectral features following surface- (polyethylene glycol) and bilayer- (cholesterol) modification of empty liposomes of around 140 nm diameter. Apart from liposomes, the characterization of the highly crosslinked DNA specimens of only 60 nm in diameter was performed. The modification of DNA gel by liposome coating exhibited unique signatures for nitrogenous bases, sugar, and phosphate groups. Further, the unique sensitivity of the proposed SERS substrate displayed distinct spectral signatures for DNA micelles and drug-loaded DNA micelles, carrying valuable information to monitor drug release. In conclusion, the findings of the spectral signatures of a wide range of molecular complexes and chemical morphology of intra-membranes in their natural state highlight the possibilities of using SERS as a sensitive and instantaneous characterization alternative.

Constructed wetland as a green remediation technology for the treatment of wastewater from underground coal gasification process.

The wastewater from underground coal gasification (UCG) process has extremely complex composition and high concentrations of toxic and refractory compounds including phenolics, aliphatic and aromatic hydrocarbons, ammonia, cyanides, hazardous metals and metalloids. So, the development of biological processes for treating UCG wastewater poses a serious challenge in the sustainable coal industry. The aim of the study was to develop an innovative and efficient wetland construction technology suitable for a treatment of UCG wastewater using available and low-cost media. During the bioremediation process the toxicity of the raw wastewater decreased significantly between 74%-99%. The toxicity units (TU) ranged from values corresponding to very high acute toxic for raw wastewater to non-toxic for effluents from wetland columns after 60 days of the experiment. The toxicity results correlated with the decrease of some organic and inorganic compounds such as phenols, aromatic hydrocarbons, cyanides, metals and ammonia observed during the bioremediation process. The removal percentage of organic compounds like BTEX, PAHs and phenol was around 99% just after 14 days of treatment. A similar removal rate was indicated for cyanide and metals (Zn, Cr, Cd and Pb). Concluded, in order to effectively assess remediation technologies, it is desirable to consider combination of physicochemical parameters with ecotoxicity measurements. The present findings show that wetland remediation technology can be used to clean-up the heavily contaminated waters from the UCG process. Wetland technology as a nature-based solution has the potential to turn coal gasification wastewater into usable recycled water. It is economically and environmentally alternative treatment method.

Direct and Continuous Monitoring of Multicomponent Antibiotic Gentamicin in Blood at Single-Molecule Resolution.

Point-of-care monitoring of small molecules in biofluids is crucial for clinical diagnosis and treatment. However, the inherent low degree of recognition of small molecules and the complex composition of biofluids present significant obstacles for current detection technologies. Although nanopore sensing excels in the analysis of small molecules, the direct detection of small molecules in complex biofluids remains a challenge. In this study, we present a method for sensing the small molecule drug gentamicin in whole blood based on the mechanosensitive channel of small conductance in Pseudomonas aeruginosa (PaMscS) nanopore. PaMscS can directly detect gentamicin and distinguish its main components with only a monomethyl difference. The 'molecular sieve' structure of PaMscS enables the direct measurement of gentamicin in human whole blood within 10 min. Furthermore, a continuous monitoring device constructed based on PaMscS achieved continuous monitoring of gentamicin in live rats for approximately 2.5 h without blood consumption, while the drug components can be analyzed in situ. This approach enables rapid and convenient drug monitoring with single-molecule level resolution, which can significantly lower the threshold for drug concentration monitoring and promote more efficient drug use. Moreover, this work also lays the foundation for the future development of continuous monitoring technology with single-molecule level resolution in the living body.

Independent Multiple-Atom-Site Functionality in Composition Adjustable Immiscible Ru-Rh-Pd-Pt Solid-Solution High-Entropy Alloys for NOx Reduction Outperforming Rh.

The high-entropy-alloy (HEA) nanoparticles with four, five or more metals significantly can yield the developments of functional materials with excellent performances in various reactions. However, the underlying reaction mechanisms of heterogeneous catalysis for HEA have been rarely investigated, due to their diverse elements and complex compositions. In this study, we successfully synthesized the homogeneously dispersed Ru-Rh-Pd-Pt HEA with adjustable compositions, as the multiple-atom-site catalysts (MASC). In the NOx reduction performance tests, Ru0.4 (Rh0.33Pd0.33Pt0.33)0.6 MASC showed the highest activity, which was significantly improved compared to that of the best monometal Rh, with the light-off temperature decreasing by ca. 50 °C. The Fourier transform infrared measurements revealed that the outstanding activity of Ru-Rh-Pd-Pt MASC was attributable to the well-coupled elementary steps of the CO adsorption, NO adsorption, NO dissociation and O spillover on the Ru, Rh, Rh-Pd and Pt sites, respectively, which explained the first clear reaction mechanism in heterogeneous catalysis for HEA.

Independent Multiple‐Atom‐Site Functionality in Composition Adjustable Immiscible Ru‐Rh‐Pd‐Pt Solid‐Solution High‐Entropy Alloys for NOx Reduction Outperforming Rh

AbstractThe high‐entropy‐alloy (HEA) nanoparticles with four, five or more metals significantly can yield the developments of functional materials with excellent performances in various reactions. However, the underlying reaction mechanisms of heterogeneous catalysis for HEA have been rarely investigated, due to their diverse elements and complex compositions. In this study, we successfully synthesized the homogeneously dispersed Ru−Rh−Pd−Pt HEA with adjustable compositions, as the multiple‐atom‐site catalysts (MASC). In the NOx reduction performance tests, Ru0.4 (Rh0.33Pd0.33Pt0.33)0.6 MASC showed the highest activity, which was significantly improved compared to that of the best monometal Rh, with the light‐off temperature decreasing by ca. 50 °C. The Fourier transform infrared measurements revealed that the outstanding activity of Ru−Rh−Pd−Pt MASC was attributable to the well‐coupled elementary steps of the CO adsorption, NO adsorption, NO dissociation and O spillover on the Ru, Rh, Rh−Pd and Pt sites, respectively, which explained the first clear reaction mechanism in heterogeneous catalysis for HEA.

Chemical characterization of refuse derived fuel (RDF) using Py-GC/MS

The conversion of municipal solid waste (MSW) to refuse-derived fuel (RDF) and its utilization as an alternative fuel in the cement industry has been an emerging trend. However, RDF is highly heterogeneous, with its complex composition changing with season and source. This work is focused on the chemical characterization of six RDF samples listed as A, B, C, D, E, and F from different locations across the country using pyrolysis gas chromatography-mass spectrometry (Py-GC/MS), thermogravimetric instrument and CHONS elemental analyzer. Qualitative and semi-quantitative results were obtained using EGA, single-shot and double-shot analysis methods. EGA has been used to derive qualitative results in correlation with TGA. FTIR analysis was carried out to understand the initial functional characterization. XRF analysis along with ICP-MS triple quad revealed the inorganic makeup of the samples. Single-shot results indicated that apart from non-hydrocarbon gases (CO2 and O2), the long-chain alkenes were most abundant, followed by alkanes, aromatic compounds, and ketones. Double-shot analysis indicated the presence of chloride and sulphur-based compounds in RDF samples as limiting components. Polystyrene contribution to LHV of RDF has been highlighted. The study can be further used to conduct compositional studies of RDF and its pyrolytic behavior in the gasifier. It will further strengthen the future gasifier models where pyrolysis is one of the critical steps. This technique will be very helpful in obtaining a better characterization of volatile and non-volatile (bio-oil and ash) fractions of the pyrolytic products.

Review of Pretreatment Technology for Corn Straw Anaerobic Digestion

Corn straw is mainly composed of hemicellulose, cellulose, and lignin, which together form a crystal structure with extremely high stability. Anaerobic fermentation is an important means of straw resource utilization. Due to the complex composition of corn straw, the hydrolysis rate during anaerobic fermentation is limited, which affects the gas production efficiency. Therefore, it is necessary to pretreat corn straw. This article analyzes the advantages and disadvantages of different pretreatment methods and their applications in anaerobic digestion in order to provide optimal pathways for the pretreatment of corn straw.

A dual RPA-LFD assay for the simultaneous detection of Salmonella typhimurium and Salmonella enteritidis.

Introduction: Salmonella was one of the most common bacteria that caused foodborne illness, with S. typhimurium (Salmonella typhimurium) and S. enteritidis (Salmonella enteritidis) infections accounting for more than 75% of human salmonella infections. Methods: In this study, we developed a method of dual recombinase polymerase amplification (RPA) combined with a lateral flow dipstick for the rapid detection of S. typhimurium and S. enteritidis in clinical specimens (stool). Results: The entire reaction process, including amplification and result reading, could be completed within 65min. The detection limits of S. typhimurium and S. enteritidis in pure culture samples were 5.23 × 101CFU/mL and 3.59 × 101CFU/mL, respectively. The detection limits of S. typhimurium and S. enteritidis in artificially contaminated samples were 8.30 × 101CFU/mL and 2.70 × 102CFU/mL, respectively. In addition, the method had no cross-reaction with other pathogenic microorganisms. The results in clinical samples were fully consistent with those obtained using Bacterial Analysis Manual, with sensitivity and specificity were 100% (8/8) and 100% (17/17) for S. typhimurium and 100% (4/4) and 100% (21/21) for S. enteritidis, respectively. Discussion: The detection limits of S. typhimurium and S. enteritidis in artificially contaminated samples were higher than those in pure culture samples, which might be attributed to the inherent complex composition of artificially contaminated samples. In addition, the detection limits of S. typhimurium and S. enteritidis in the same sample were also different, which might be attributed to different amplification efficiency of two target genes in the same reaction system. Conclusion: This assay had potential application outdoors, as it could be performed within 1h at 38°C without a complex instrument, and the results could be observed with the naked eye. In conclusion, the dual RPA-LFD assay established in this study had practical significance for the rapid detection of S. typhimurium and S. enteritidis in the future.

Photo-electrocatalytic synthesis of 2,5-furan dicarboxylic acid and hydrogen co-production from straw-based microcrystalline cellulose by a CdS/TiO2-graphene composite catalyst

The low photocatalytic efficiency and complex composition of corn stover biomass have always been the bottlenecks restricting the development of photocatalytic biomass conversion in 2,5-furandicarboxylic acid technology. Most photocatalysts have low conversion efficiency and low selectivity in the oxidation of straw, and their conversion rate to the desired products cannot be guaranteed. Therefore, efficient composite photocatalysts of CdS/TiO2 and corn stover-based graphene were prepared using corn stover-derived graphene structures. The materials were applied in the catalytic oxidation of 5-hydroxymethylfurfural (HMF) from corn stover-derived microcrystalline cellulose and the one-step photocatalytic conversion to 2,5-furandicarboxylic acid (FDCA), while synergistically producing hydrogen. The experimental results of the photocatalytic reaction revealed possible reaction pathways, and theoretical calculations further confirmed that hydroxyl oxidation is a rate-determining step in the process. With the optimal component ratio, the conversion rate of HMF reached 100% with an FDCA yield of 99.4%. The Faraday efficiency of hydrogen production was 96%, indicating good synergistic photocatalytic performance. This study provides new ideas for the conversion of biomass waste into FDCA.

Automated classification of giant virus genomes using a random forest model built on trademark protein families

Viruses of the phylum Nucleocytoviricota, often referred to as “giant viruses,” are prevalent in various environments around the globe and play significant roles in shaping eukaryotic diversity and activities in global ecosystems. Given the extensive phylogenetic diversity within this viral group and the highly complex composition of their genomes, taxonomic classification of giant viruses, particularly incomplete metagenome-assembled genomes (MAGs) can present a considerable challenge. Here we developed TIGTOG (Taxonomic Information of Giant viruses using Trademark Orthologous Groups), a machine learning-based approach to predict the taxonomic classification of novel giant virus MAGs based on profiles of protein family content. We applied a random forest algorithm to a training set of 1531 quality-checked, phylogenetically diverse Nucleocytoviricota genomes using pre-selected sets of giant virus orthologous groups (GVOGs). The classification models were predictive of viral taxonomic assignments with a cross-validation accuracy of 99.6% at the order level and 97.3% at the family level. We found that no individual GVOGs or genome features significantly influenced the algorithm’s performance or the models’ predictions, indicating that classification predictions were based on a comprehensive genomic signature, which reduced the necessity of a fixed set of marker genes for taxonomic assigning purposes. Our classification models were validated with an independent test set of 823 giant virus genomes with varied genomic completeness and taxonomy and demonstrated an accuracy of 98.6% and 95.9% at the order and family level, respectively. Our results indicate that protein family profiles can be used to accurately classify large DNA viruses at different taxonomic levels and provide a fast and accurate method for the classification of giant viruses. This approach could easily be adapted to other viral groups.

Characteristic features of Reformation in Hungary and the Formation of the Unitarian (Anti-Trinitarian) Church in Transylvania in the Second Half of the 16th Century

This article examines the peculiarities of the Reformation process in the Hungarian territories, followed by the formation of a Unitarian (Anti-Trinitarian) church in Transylvania in the 16th century. The study aims to identify the specific features and periodization of this process in the said area. The first feature is the complex ethnic composition of the population, which led to political and religious opposition and the strengthening of state power by certain ethnic groups that adopted Protestant religious doctrines. The second feature is related to the complex military-political situation in Central Europe in the 16th century: the disintegration of the Kingdom of Hungary, the annexation of parts of the disintegrated kingdom by the Ottoman Empire, which led to several major Austro-Turkish wars and constant border skirmishes. This resulted in the emergence of various vassal formations and the use of interfaith conflict as a means to achieve success in military-political confrontations. The third feature, closely related to the previous ones, is the strengthening of magnate clans, which, in the context of weak government and a challenging international situation, became independent political forces significantly influencing the religious processes in the country. These characteristics of Reformation in the Hungarian territories led, in the second half of the 16th century, to a substantial expansion of Protestantism supporters and an increase in the number of Protestant denominations. In the small, frontier, vassal state of the Eastern Hungarian kingdom under the Ottoman Empire, the widest religious freedom in Europe was granted. A few years later, a Unitarian (Anti-Trinitarian) Christian church was established, receiving equal rights with all other religious denominations. It continues to exist in Hungary and Romania. This study will be of interest to the researchers of history of Reformation and religion in general.