Tube Reactor Research Articles

A novel, rapid, ultrasensitive diagnosis platform for detecting Candida albicans using restriction endonuclease‐mediated real-time loop-mediated isothermal amplification

IntroductionCandida albicans (C. albicans, CA) is an essential invasive fungus in clinical diagnosis. Although several detection methods exist, none meet the need for early diagnosis. A rapid, sensitive, and specific diagnostic tool is crucial for effective prevention and control of C. albicans infections.MethodsThis study aimed to develop a new, rapid, and ultrasensitive diagnostic tool for C. albicans detection based on restriction endonuclease-mediated real-time loop-mediated isothermal amplification (ERT-LAMP-CA). The ERT-LAMP-CA technology combines LAMP amplification, restriction endonuclease cleavage, and real-time fluorescence detection in a single reaction tube, which can complete a diagnosis of C. albicans in a short time (approximately 1 h).ResultsHerein, we developed the primer sequences required for ERT-LAMP-CA based on the ITS2 gene of C. albicans and found that ERT-LAMP-CA limit of detection was approximately 500 ag/μL genomic DNA and can present negative results for non-C. albicans templates. We tested sputum samples from 64 patients with suspected C. albicans infections to validate ERT-LAMP-CA applicability in clinical sample testing and found that ERT-LAMP-CA was consistent with multiplex PCR-capillary electrophoresis.DiscussionIn conclusion, ERT-LAMP-CA is a rapid, accurate, and sensitive assay with excellent potential for clinical and basic laboratory diagnosis and an efficient screening strategy.

Effects of sub-atmospheric pressure on appearance and pollutant formation of inverse diffusion flame within a confined space

Gas-fired boilers operating at high-altitude regions often suffer from inadequate output, decreased thermal efficiency, and excessive NOx emissions. The effect of sub-atmospheric pressure on flame appearance and pollutant formation is the main reason for those problems, and thus needs to be clarified particularly under furnace combustion conditions with a fixed excess air coefficient. Inverse diffusion is a widely employed fuel–air configuration in burners of gas-fired boilers, and therefore the flame appearance, CO generation, and NO generation were experimentally investigated in this paper by adopting a low-pressure quartz tube reactor. Results show that the flame is elongated from reducing pressure under fuel-lean conditions, mainly due to the reduced oxygen mass concentration and the elevated jet velocity. Under fuel-rich combustion conditions, however, the flame is shorted at sub-atmospheric pressure from the suppressed soot formation. The reduced pressure leads to an increase in the global strain rate, making the flame more prone to uplift. With decreasing pressure, the increased air–fuel mixing and flame length facilitate the gas burnout, thus decreasing CO generation. The sub-atmospheric pressure could evidently reduce the NO generation under fuel-rich conditions, but slightly increase it under fuel-lean conditions. Under fuel-lean conditions, the NO major pathways (prompt, thermal, NNH, and N2O) are promoted which leads to an increase in NO generation with decreasing pressure. Under fuel-rich conditions, however, NO formation is suppressed from the decreased rate of reaction N2+CH↔HCN+N.

Low-dimensional projection of reactivity classes in chemical reaction dynamics using supervised dimensionality reduction.

Transition state theory (TST) provides a framework to estimate the rate of chemical reactions. Despite its great success with many reaction systems, the underlying assumptions such as local equilibrium and nonrecrossing do not necessarily hold in all cases. Although dynamical systems theory can provide the mathematical foundation of reaction tubes existing in phase space that enables us to predict the fate of reactions free from the assumptions of TST, numerical demonstrations for large systems have been yet one of the challenges. Here, we propose a dimensionality reduction algorithm to demonstrate structures in phase space (called reactive islands) that predict reactivity in systems with many degrees of freedom. The core of this method is the application of supervised principal component analysis, where a coordinate transformation is performed to preserve the dynamical information on reactivity (i.e., to which potential basin the system moves from a region of interest) as much as possible. The reactive island structures are expected to be reflected in the transformed, low-dimensional phase space. As an illustrative example, the algorithm is scrutinized using a modified Hénon-Heiles Hamiltonian system extended to many degrees of freedom, which has three channels leading to three different products from one stable potential basin. It is shown that our algorithm can predict the reactivity in the transformed, low-dimensional coordinate system better than a naïve coordinate system and that the reactivity distribution in the transformed low-dimensional space is considered to reflect the underlying reactive islands.

Free-radical triggered formation of dioxins from 2-chlorophenol pyrolysis investigated by synchrotron radiation photoionization mass spectrometry

Polychlorinated dibenzo-p-dioxins/dibenzofurans (PCDD/Fs) and polychlorinated naphthalenes (PCNs) are a category of highly toxic and environmentally persistent pollutants released particularly via thermal processes of chlorine-containing materials. However, the detailed reaction mechanism, especially the evolution of related radicals remains elusive for decades. Herein we have for the first time characterized the radicals and intermediates during pyrolysis of 2-chlorophenol resulting in PCDD/Fs and PCNs, using a flow tube reactor coupled with in-situ synchrotron radiation photoionization mass spectrometry (SR-PIMS). Transient species including 2-chlorophenoxy (C6H4ClO•), phenoxy (C6H5O•), chloro-cyclopentadienyl (•C5H4Cl), chloro-cyclopentadiene (C5H5Cl), fulvenone ketene (C6H4O) and o-benzyne (o-C6H4), were identified via m/z and photoionization efficiency profile. Potential energy surfaces of the early-stage mechanism and the associated rate constants and branching ratios were elucidated. Successively, the formation mechanisms of PCDD/Fs and PCNs from these transient intermediates at high temperatures were proposed which have experimentally validated and refined the previous mechanism. The results suggested that the combination of 2-chlorophenoxy radicals with another 2-chlorophenoxy, phenoxy, phenyl, or o-benzyne leads to the formation of PCDD/Fs, while PCNs are generated from the self-coupling of chloro-cyclopentadienyl.

Combustion behavior of solid waste fuels in the vertical tube reactor under different oxy-fuel environments

Oxy-fuel combustion technology has been recognized as one of the promising ways for cost-effective CO2 capture. The co-combustion characteristics of flax straw biomass/bituminous coal mixture (FS/BC) and flax straw biomass/sewage sludge mixture (FS/SS) under air, oxy-fuel (21%/79% O2/CO2) and oxygen-enriched oxy-fuel (30%/70% and 40%/60% O2/CO2) conditions were investigated in the vertical tube reactor. In particular, the study focused on the burning characteristics, the effect of blending ratio, and flue gas emissions. The findings indicated that flax straw biomass exhibited superior ignition performance compared to its blends with sewage sludge and bituminous coal. A higher O2 concentration from 21% to 40 led to a reduction in ignition delay time by 4s at 850 ℃ and by up to 10s at 950 ℃. Moreover, char combustion time was reduced by 50% for FS/SS blends due to the lower fixed carbon content compared to FS/BC blends. Additionally, increasing the O2 concentration resulted in lower emissions of CO by ∽40% and N2O by ∽45% for both blends. However, this also led to a slight increase in SO2 and NO emissions by ∽15% and ∽26%, respectively. The optimal conditions for the tested samples in oxy-fuel environment were found to be 30% O2/70 CO2, which enhanced combustion performance while lowering flue gas emissions.

Comparative study on static and dynamic digest characteristics of oat β-Glucan and β-Gluco-Oligosaccharides

Both oat β-glucans (OGs) and their hydrolyzed counterparts, oat β-gluco-oligosaccharides (OGOs), are dietary fibers indigestible by humans. They serve as substrates for the colonic intestinal flora, exhibiting potential prebiotic properties. This study, through in vitro digestion simulation, found that OGs and OGOs are not degraded and can safely pass through the upper digestive tract to reach the colon. Anaerobic fermentation was conducted using fecal microbiota in an anaerobic tube and gastrointestinal reactor to investigate their impact on the structure and metabolism of intestinal flora. The research revealed that OGs and OGOs distinctly influence the fermentation characteristics and the intestinal flora’s metabolic profile. Specifically, in static fermentation, OGs notably increased butyric acid production in both healthy individuals and those with type 2 diabetes, whereas OGOs more effectively enhanced acetic and propionic acid production in type 2 diabetics. Moreover, OGs and OGOs variably affected the composition of intestinal flora. In dynamic fermentation, there was a marked improvement in the production of short-chain fatty acids (SCFAs), with OGs significantly boosting butyric acid and OGOs enhancing acetic acid production. This study lays a theoretical foundation for employing specific dietary fibers to selectively improve intestinal flora and supports the development of functional ingredients that modulate intestinal microorganisms, utilizing in vitro research methodologies.

Microwave-Assisted Oxidation of N2 into NOx over a La-Ce-Mn-O Perovskite Yielding Plasmas in a Quartz Flow Reactor at Atmospheric Pressure

N2 oxidation to NOx is a challenging reaction, and alternative routes to the industrial Ostwald process are of interest. A perovskite under flowing O2-N2 mixtures at atmospheric pressure in a quartz tube reactor was irradiated by microwaves (MW), leading to the formation of hot spots and plasmas within the catalyst bed. NOx concentrations up to 2.5 vol.% in one pass were obtained at 600 W. Using a lower MW power of 100 W led to a pulsed mode yielding lower NOx concentrations and no noticeable damage to the quartz reactor. The formation of plasma was strongly dependent on the perovskite bed packing. The perovskite acted primarily as a susceptor and likely also as a catalyst, although the proportion of heterogeneous and homogenous reactions could not be determined in the present study. The simple reactor layout allowing operation at atmospheric pressure is promising for the development of practical MW-assisted N2 fixation technologies.

Rancang Bangun Sistem Penyaring Debu Cyclone pada Pirolisis Biomassa

The purpose of the design of a cyclone dust filter system for biomass pyrolysis is as an alternative to improve the work yield of the biomass pyrolysis process. The cyclone functions as a filter for char and dust with gas produced after the pyrolysis process in the reactor tube, before being forwarded to the condenser and motor. The results of data analysis show that the biomass pyrolysis testing process with the addition of a cyclone dust filter system, the conclusion obtained is that with the addition of this cyclone dust filter system, the results of the biomass pyrolysis process obtained are even better, because the gas that is still mixed with char and dust will be filtered in this process. The test results using wood shavings, corn cobs, and rice husks also showed improvements compared to without using a cyclone dust filter system

A rapid, specific and ultrasensitive detection of the Chikungunya virus based on RT-RPA:CRISPR/Cas12a one-pot dual mode end-point detection system

BackgroundChikungunya (CHIK) is an underdiagnosed acute febrile illness (AFI) and an important cause of acute encephalitis syndrome (AES). Unavailaibility of rapid and sensitive molecular point-of-care tests (PoCTs) for CHIK at grass-root level, results in increased hospital burden, due to delayed diagnosis or misdiagnosis with other clinically relevant diseases. Since, no therapeutic intervention is readily available, accurate and differential diagnosis of CHIK is the only available option to initiate early supportive treatment. Thus, we aimed to develop a one-pot reverse transcription recombinase polymerase amplification (RT-RPA) mediated CRISPR/Cas12a based detection platform for rapid, specific, and ultrasensitive detection of chikungunya virus (CHIKV) in clinical samples. ResultsWe have successfully integrated CRISPR/Cas12a technology with reverse transcription recombinase polymerase amplification (RT-RPA) for the detection of Chikungunya virus (CHIKV). The developed assay enabled rapid detection of CHIKV within 35 min, requiring minimal handling process and instrumentation. Next, this assay demonstrated dual mode end-point detection capabilities, employing both fluorescence and lateral flow detection within a reaction. Our one-pot system allows the entire process to be completed without the need to open the reaction tube, thereby eliminating the risk of cross-contamination. Remarkably, the assay exhibits an analytical sensitivity of 412 zg μL−1 (≈1 copy), and 100 % clinical sensitivity and specificity for CHIKV. Furthermore, the developed assay demonstrated limit of detection of 8 gene copies of CHIKV. The assay demonstrates precise detection of CHIKV without any cross-reactivity with other pathogens commonly associated AFI or AES. SignificanceThe overall findings of this study indicate that the RT-RPA:CRISPR/Cas12a detection assay, with one-pot dual-mode detection approach enables rapid, specific and ultrasensitive molecular detection of CHIKV. This advancement holds significant potential for CHIKV detection in resource-limited settings, providing a robust tool for diagnosis and management of the disease. This developed assay may empower clinicians to initiate prompt supportive therapy for Chikungunya fever, thereby improving patient outcomes and public health responses.

A novel system with robust compatibility and stability for detecting Sugarcane yellow leaf virus based on CRISPR-Cas12a.

Sugarcane yellow leaf virus (SCYLV) can reduce sugarcane productivity. A novel detection system based on reverse transcription-multienzyme isothermal rapid amplification (RT-MIRA) combined with CRISPR-Cas12a, named RT-MIRA-CRISPR-Cas12a, was developed. This innovative approach employs crude leaf extract directly as the reaction template, streamlining the extraction process for simplicity and speed. Combining RT-MIRA and CRISPR-Cas12a in one reaction tube increases the ease of operation while reducing the risk of aerosol contamination. In addition, it exhibits sensitivity equivalent to qPCR, boasting a lower detection limit of 25 copies. Remarkably, the entire process, from sample extraction to reaction completion, requires only 52-57 minutes, just a thermostat water bath. The result can be observed and judged by the naked eye.IMPORTANCESugarcane yellow leaf disease (SCYLD) is an important viral disease that affects sugarcane yield. There is an urgent need for rapid, sensitive, and stable detection methods. The reverse transcription-multienzyme isothermal rapid amplification combined with CRISPR-Cas12a (RT-MIRA-CRISPR-Cas12a) method established in this study has good specificity and high sensitivity. In addition, the system showed good compatibility and stability with the crude leaf extract, as shown by the fact that the crude extract of the positive sample could still be stably detected after 1 week when placed at 4°C. RT-MIRA-CRISPR-Cas12a, reverse transcription polymerase chain reaction (RT-PCR), and reverse transcription-quantitative polymerase chain reaction (RT-qPCR) were used to detect SCYLV on 33 sugarcane leaf samples collected from the field, and it was found that the three methods reached consistent conclusions. This Cas12a-based detection method proves highly suitable for the rapid on-site detection of the SCYLV.

Deactivation of iron particles during combustion and reduction

Iron is a promising carbon-free renewable energy carrier to replace fossil fuels. However, during a redox cycle, iron may experience deactivation due to structural changes, which can shorten the cycle lifetime. In this work, deactivation of iron particles in terms of changes in reactivity and morphology during the oxidation and reduction process was investigated, under both fixed-bed and suspension conditions. Simple thermal treatment in an inert atmosphere at 1200 °C had no influence on the reactivity of particles towards oxidation, even at long exposure resulting in mild agglomeration. In fixed-bed oxidation at 600 to 1100 °C, solid sintering was found to be rapid and severe at higher temperatures. However, the sintering showed no influence on the reactivity of particles towards H2 under slow-heating conditions in a TGA. In pulverized-fuel combustion in a drop tube reactor, the intensive combustion and heat release led to melting of particles and morphology change from irregular to spherical. As the reactor temperature was increased from 800 to 1200 °C, the particle reactivity in terms of reduction degree (fractional conversion from Fe2O3 to Fe) slightly decreased from 78 % to 72 %, possibly related to a minor loss of surface area. TGA experiments involving successive redox cycles showed a steady decline in reduction reactivity (750 °C, 2.5 % H2), slightly enhanced by agglomeration, while the oxidation degree (950 °C or 1200 °C, 21 % O2) remained constant. The present work indicates that both deactivation and loss of iron due to evaporation may serve to limit the energy release in iron combustion over extended cycles.

A Finger-Actuated Sample-Dosing Capillary-Driven Microfluidic Device for Loop-Mediated Isothermal Amplification.

Loop-mediated isothermal amplification (LAMP) has attracted significant attention for rapid and accurate point-of-care diagnostics. However, integrating sample introduction, lysis, amplification, and detection steps into an easy-to-use, disposable system has so far been challenging. This has limited the uptake of the technique in practical applications. In this study, we developed a colourimetric one-step LAMP assay that combines thermolysis and LAMP reaction, to detect the SARS-CoV-2 virus in nasopharyngeal swab samples from COVID-19-infected individuals. The limit of detection was 500 copies per reaction at 65 °C for 25 min in reaction tubes. Additionally, we developed a finger-operated capillary-driven microfluidic device with selective PVA coating. This finger-actuated microfluidic device could self-dose the required sample amount for the LAMP reaction and inhibit sample evaporation. Finally, we integrated the LAMP assay into the microfluidic device by short-term pre-storage of the LAMP master mix. Using this device, nasopharyngeal swab samples from COVID-19-infected individuals showed positive results at a reaction time of 35 min at 65 °C. This integrated device may be adapted to detect other RNA viruses of interest rapidly.

TiO2-catalyzed photodegradation of methylene blue in a helical FEP tubing reactor: modeling and optimization using response surface methodology

A novel photocatalytic reactor was developed to degrade methylene blue in water using titanium dioxide (TiO2) as a catalyst and fluorinated ethylene propylene (FEP) tubing as a transmitter for ultraviolet (UV) radiation. The reactor was operated by continuously flowing the solution through narrow tubes that were exposed to UV radiation. The efficiency of the reactor was evaluated by comparing it to a previous study that used quartz glass tubing. The study also investigated the effects of flow rate, initial concentration, pH, TiO2 dose and UV radiation without a catalyst on the degradation of methylene blue. The results showed that the FEP tubing was a more efficient UV transmitter than quartz glass. The efficiency of the reactor was also affected by the flow rate and pH of the solution. The highest degradation efficiency was achieved at a flow rate of 10 mL/min and a pH of 7.0. The use of TiO2 as a catalyst also significantly improved the degradation efficiency, with an almost doubling of the degradation rate when compared to the case without a catalyst. This study demonstrates the potential of the FEP tubing-based photocatalytic reactor for the degradation of methylene blue in water. The reactor is easy to operate and can be scaled up for industrial applications.

Production of high calorific value hydrogen-rich combustible gas by supercritical water gasification of straw assisted by machine learning

This article reveals the basic laws of straw supercritical water gasification (SCWG) and provides basic experimental data for the effective utilization of straw. The paper studied the impact of three operational conditions on the production of high-calorific value hydrogen-rich combustible gases through SCWG of straw within a quartz tube reactor. The findings reveal that elevated reaction temperatures, extended residence times, and reduced feedstock concentrations favor the SCWG of straw. When combustible gas contains carbon dioxide, the maximum low heating value (LHV) of the gas is 21 MJ/Nm3. Upon removing carbon dioxide, the LHV of the gas reached 38 MJ/Nm3. Subsequently, a machine learning (ML) model was developed to forecast gas yield and LHV during the SCWG process. The results demonstrate that the model exhibits robust generalization capabilities. ML can be extensively applied to forecast biomass SCWG processes across various operational conditions.

Characterization, Molecular Mechanism of Prochloraz-Resistance in Fusarium fujikuroi and Development of Loop-Mediated Isothermal Amplification Rapid Detection Technique Based on the S312T Genotype of Resistances.

Rice bakanae disease (RBD) is a typical seed-borne fungal disease caused by Fusarium fujikuroi. Prochloraz is a sterol demethylation inhibitor, which is among the most important classes of active ingredients for the management of RBD. In 2022, the total resistance frequency of F. fujikuroi to prochloraz in Zhejiang Province was 62.67%. The fitness of the prochloraz-resistant population was lower than that of the susceptible population, but its pathogenicity was slightly stronger. The S312T and F511S double mutations of Ffcyp51b were detected in the resistant isolates. Loop-mediated isothermal amplification (LAMP) technology based on S312T was established to rapidly determine prochloraz resistance in F. fujikuroi. LAMP primer mismatch design was performed based on the cyp51b gene, and 100-300 bp sequences containing a mutation at codon 312 were amplified. In a 25 µL reaction tube, 1 pg/µL DNA of F. fujikuroi could be detected. The detection limit for the frequency of prochloraz resistance was 0.498% using this method. We performed LAMP detection on rice seedlings inoculated with prochloraz-sensitive and -resistant isolates and treated them with prochloraz. Prochloraz demonstrated good control in rice seedlings. A chromogenic reaction was observed in seedlings treated with prochloraz-resistant isolates, and the results were verified using electrophoresis. It has been demonstrated that LAMP technology based on the S312T genotype can quickly and specifically detect prochloraz-resistant isolates in rice seedlings.

Advances in nanofluids for tubular heat exchangers: Thermal performance, environmental effects, economics and outlook

Heat transfer deterioration in thermal systems significantly limits the efficiency and practicality of these systems. This review explores state-of-the-art studies on the use of nanofluids (NFs) in various tubular heat exchangers (HEXs), addressing their influence on overcoming the limitations. It discusses the fundamentals of HEXs and NFs, including design criteria, heat transfer mechanisms and thermal transport properties. This work compiles effective thermal conductivity and viscosity correlations under diverse conditions and evaluates NF performance in reactor, flat and helical coiled tube, twisted tube, U-tube and finned tube-based HEXs. Results revealed substantial improvements in system efficiency, with SiC–MWCNT/water NFs achieving 99.9 % absorbance in solar collectors and Ag–rGO/water and Ag–ZnO/silicon oil NFs enhancing efficiency by 210 % and 240 %, respectively. Water–alumina NFs increased convective heat transfer rates and friction factors in flat tube HEXs by 123.6 % and 210 %, respectively. Helical coil exchangers exhibited a pressure drop of 47.35 % with MWCNT/water NFs and a 69.62 % rise in heat transfer coefficient with polyaniline–water NFs. This review suggests that optimising HEX efficiency depends on the strategic use of NFs and finned-tube designs. It also highlights the significance of selecting suitable source materials for NFs, the corresponding health risks, disposal and waste management. Economic viability depends on using optimal flow parameters, including temperature, concentration of nanoparticles, system compactness and installation and running costs. Finally, this review concludes with insights into existing challenges and prospects in thermohydraulic, environmental and economic aspects, pointing to future developments in engineered fluids and their commercial applications.

Optimization of Lipid-Based Nanoparticles Formulation Loaded with Biological Product Using A Novel Design Vortex Tube Reactor via Flow Chemistry.

Lipid-based nanoparticles (LNPs) is increasingly recognized for their potential in drug delivery, offering protection to hydrophobic drugs from degradation. Industrial synthesis of LNPs, exemplified by Pfizer-BioNTech and Moderna mRNA vaccines, utilizes flow chemistry or microfluidics, showcasing its scalability. This study explores the utilization of a novel design reactor, the vortex tube reactor, within flow chemistry for LNPs synthesis, aiming to optimize its conditions and compare them with batch synthesis. LNPs were synthesized using the vortex tube reactor, incorporating bovine serum albumin (BSA) as a model drug in the aqueous phase, alongside 1.2-dipalmitoyl-sn-glycero-3-phosphocholine (DPPC) and cholesterol in the organic phase. Design of experiments (DoE), specifically Box-Behnken design, was employed to optimize parameters, including X1: the flow rate ratio (10-100 mL/min), X2: the aqueous-to-organic volumetric ratio (1:1-10:1), and X3: the number of reactor units (1-5 units). Responses evaluated encompassed physical properties and productivity. Optimized conditions were determined by minimizing particle size (Y1), polydispersity index (Y2), and zeta potential (Y3), while maximizing entrapment efficiency (Y4), drug loading (Y5), and productivity (Y5). Results indicated that optimal conditions were achieved at X1 of 100 mL/min, X2 of 5.278, and X3 of 1 unit. LNPs synthesized under these conditions exhibited favorable physical properties and productivity, with uniformity maintained across batches. The vortex tube reactor demonstrated superiority over batch synthesis, yielding smaller particles (166.23 ± 0.98 nm), more uniform nanoparticles (PDI 0.17 ± 0.01), and higher entrapment (67.75 ± 1.55%) and loading capacities (36.39 ± 0.83%), indicative of enhanced productivity (313.4 ± 12.88 mg/min). This study elucidates the potential of flow chemistry, particularly utilizing the vortex tube reactor, for large-scale LNPs formulation, offering insights into parameter relationships and advancing nanoparticle synthesis for drug delivery applications.

Experimental Validation of Stationary and Transient Models of a Methanol Demonstration Plant

AbstractThe system integration of cross‐industrial networks in the Carbon2Chem® project relies on numerical simulations. Hence, this study validates the methanol synthesis loop models vs. the measurements from a demonstration plant, focusing on the thermodynamic, kinetic, and dynamic aspects. The plant can produce up to 500 L per week of methanol from real blast furnace gases of the thyssenkrupp steel plant in Duisburg. Despite its small size, it comprises a recycle gas loop and an original reactor tube of 6 m in length. After validation, the simulation models are used to analyze the dynamic operation limits of the plant, and they are transferred to the model of an industrial size to analyze the operation of cross‐industrial networks with volatile boundary conditions.

Efficient continuous synthesis of long-chain alkylbenzenes catalyzed by ionic liquids in microreaction systems

Alkylbenzene (LAB) is an important benzene derivative that can be used as a raw material for high-performance anionic surfactants such as alkylbenzene sulfonates (LAS) to meet the new requirements for surfactants in many fields. LAB can be synthesized through Friedel-Crafts reaction in the presence of acidic catalysts as alkylating agents, which is commonly used in the production of fine chemicals. In this work, a novel and efficient continuous flow micro reaction system was introduced to enhance the production of long-chain alkylbenzene catalyzed by [(CH3)3NH][Al2Cl7] ionic liquid. The optimal conditions were investigated for the synthesis of long-chain alkylbenzenes with the 1-tetradecene and mixing α-alkenes of C14-C16 from Fischer-Tropsch process. The results showed that the yield of benzene alkylation can achieve 99 % under the optimal process conditions which the reaction tube length was 2000 mm, the reaction temperature was 30 ℃, the catalyst dosage was 0.30 mL/min and the molar ratio of aluminum chloride to trimethylamine hydrochloride was 2:1. In addition, α-alkenes with C14-C16 lead to deactivation of the ionic liquids catalyst easier because of transfer of AlCl3 from the ionic liquid to the organic phase compared to the pure 1-tetradecene as an alkylating agent. Continuous synthesis of the long-chain alkylbenzenes catalyzed by ionic liquids can achieve in the microchannel reaction system by controlling the flow patterns.

A new model for pressure drop correction for series-arranged misaligned monoliths

This study presents a new model to predict the additional pressure drop for series-arranged misaligned monoliths, relevant for high-flow industrial applications. Long reactor tubes often contain multiple short monoliths, leading to extra pressure drops as the flow enters and leaves multiple monoliths. Existing models address aligned monoliths, but this research considers misalignment, where extra pressure drop is higher. Channel Reynolds from 50 to 320, spacings from 0.1 to 20 channel diameters, and several void fractions are investigated using a discrete channel model. Results indicate a significant impact of misalignment on extra pressure drops in closely spaced monoliths due to flow collisions. A correction factor model that adapts to misalignment is proposed, starting from large values for closely spaced channels and decreasing as spacing increases. The proposed model aligns with discrete channel data and phenomenological behavior of aligned channels both in trend and magnitude, showing an R2 above 0.93.