Liquid Transfer Research Articles

Automated analyses of dried blood spots collected by volumetric microsampling devices

BackgroundDried blood spot (DBS) sampling on cellulose cards suffers from varying blood haematocrit levels and from chromatographic effects, which have a direct impact on quantitative DBS analyses. Commercial volumetric microsampling devices were, therefore, introduced to mitigate these effects, however, these devices are not compatible with automated DBS processing systems and must be processed manually. ResultsCapillary electrophoresis (CE) instruments use fused-silica (FS) capillaries for precise and accurate liquid handling as well as for injection, separation, and quantitative analyses of liquid samples. These inherent features of an Agilent 7100 CE instrument were employed for the automated processing (elution and homogenization) of DBSs collected by hemaPEN® volumetric devices (2.74 μL of capillary blood per spot). The hemaPEN® samples were processed directly in CE vials by consecutive transfers of 56 μL of methanol and 14 μL of deionized water through the FS capillary in a sequence of 39 DBSs with repeatability of the liquid transfers better than 1.4 %. The resulting DBS eluates were homogenized by a quick air flush through the capillary and analyzed by the same capillary and CE instrument. Creatinine was selected as a clinically relevant model analyte and its endogenous concentrations in DBSs were determined by CE with capacitively coupled contactless conductivity detection (CE-C4D) in a background electrolyte solution consisting of 50 mM acetic acid and 0.1 % (v/v) Tween 20 (pH 3.0). The overall repeatability of the automated DBS processing and CE-C4D analyses of 39 DBSs was ≤7.1 % (peak areas) and ≤0.6 % (migration times), the calibration curve was linear in the 25–500 μM range (R2 = 0.9993) and covered all endogenous blood creatinine levels, the limit of detection was 5.0 μM, and sample throughput was >12 DBSs per hour. DBS ageing for 60 days and varying blood haematocrit levels (20–70 %) did not affect creatinine quantitative results (≤6.9 % for peak areas). Inter-capillary and inter-instrument repeatability was ≤7.7 % (peak areas) and ≤3.4 % (migration times) and demonstrated an excellent transferability of the proposed analytical concept among laboratories. Significance and noveltyThis contribution is the first-ever report on the use of a single off-the-shelf analytical instrument for fully automated analyses of DBSs collected by commercial volumetric microsampling devices and holds great promise for future unmanned quantitative DBS analyses.

Numerical investigation and experimental verification of liquid water dynamic transfer characteristics in the flow field of PEMFC with dead-ended anode during gas purging

Water accumulation in the anode during the operation of a proton exchange membrane fuel cell with the dead-ended anode (DEA) has a significant impact on its performance. In this study, numerical simulation and experimental verification were combined to investigate the water accumulation and water dynamic transfer characteristics in the anode flow field during dead-ended operation and gas purging, respectively. The effects of placement orientation, surface wettability, and purge time on the water dynamic transfer characteristics are investigated. The results show that the placement orientation has significant effects on the water distribution characteristics and drainage for PEMFC. When placed vertically and with a purging time of 50 ms, the liquid water saturation in the channel is 5.52 %, which drains 14.91 % more water than that of horizontal placement. Besides, Water discharge velocity and water removal ratio should be considered comprehensively in the development of the purge strategy, the optimal purging time is 70 ms with the water discharge velocity and water removal rate are 0.39 μl/ms and 97.34 %, respectively. Finally, the transfer process of liquid water in the flow field with DEA mode is observed by visual experiment, and the results of the numerical simulation are verified.

Capillarity Constructed Open Siphon for Sustainable Drainage.

Siphon is an effective method to transfer liquid from a higher to a lower level, which has many applications in hygienic design, clinical apparatus, and hydraulic engineering. Traditional operation requires energy to overcome gravity and establish flow in a closed system. Achieving sustainable high flux siphon drainage without energy input remains a challenge due to viscous dissipation. Here, an unexpected open siphon behavior on the South American pitcher plant Heliamphora minor consisting of trichomes covered pitcher and a wedge-shaped sheath is examined. Exploiting the concept of Digital Twin, a new biomimetic research method by transforming the biological sample to a virtual 3D model is proposed and unveiled that maintained connection of wicking on sub-millimeter long trichomes due to asymmetric pressure distribution and ascending in wedge sheath under unbalanced pressure forms continuous surface flow. Exploring this mechanism, a biomimetic siphon device achieving continuous high flux exposed to ambient air is constructed. Besides, particles floating on the meniscus in the outside wedge move under a curvature gradient as water ascends, which implies a biological nutrient capture method and new dust collection manner in the drainage system. Applying the underlying principle enhances the siphon efficiency of floor drains and has the potential for other liquid transfer device design improvements.

Falling film hydrodynamics and heat transfer under vapor shearing from various orientations

Vapor shearing is a common issue encountered in the operations of falling film heat exchangers. The vapor stream effect depends on its orientation. This study investigates liquid film hydrodynamics and heat transfer performance under the influence of vapor streams from different orientations. The results indicate that both orientation and velocity of vapor determine the encountering time and position of the films on the tube's two sides. The liquid film thickness uniformity and the liquid column deflection vary significantly depending on the orientation and velocity of the vapor. Zones of accelerated liquid film, climbing liquid film, liquid stagnation, and transition of liquid film flow pattern are observed. The gradient of film thickness along the tube axis and the deflection in time-averaged peripheral film thickness increase as the vapor orientation varies from 0° to 90° and subsequently decrease as the vapor orientation varies from 90° to 180°. Vapor streams have more pronounced effects on time-averaged peripheral film thickness in regions close to the liquid inlet and outlet. Vapor streams result in changes in peripheral heat transfer coefficients toward the downstream side depending on the orientation and velocity of the vapor. The impact of vapor streams on the overall heat transfer coefficient does not directly correlate with the velocity of the vapor when maintaining the same orientation.

Capacitance-based measurement of volume fraction, velocity, and mass flow rate of cryogenic nitrogen two-phase flow

Cryogenic fluid flow is a critical measurement parameter but is difficult to properly measure due to the extreme environmental conditions and the frequent presence of multiphase flow during saturated liquid transfers. Multiphase flow proves challenging for most flow measurement methodologies; furthermore, additional measurements of volume fraction, quality, and slip velocity are often required. In-line capacitance-based sensors have the potential to overcome these limitations. In this paper, a capacitance sensor in a multiphase cryogenic flow loop is evaluated for its ability to measure liquid volume fraction, gas phase velocity, and total mass flow rate for two-phase cryogenic nitrogen flow.

Experimental investigation of the intermittent spray heat transfer characteristics of nanofluids in single- and two-phase states

Traditional air-cooled cooling systems used in engineering vehicles consume significant energy and do not align well with future development trends. To address this problem, a single- and two-phase intermittent spray cooling technique for nanofluids was proposed in this study. The effects of the duty cycle and spray frequency on the heat transfer performance and surface temperature uniformity of intermittent spray were determined by experiments, and the thermal behaviour of intermittent spray with different mass fractions of Al2O3 nanofluids was compared in detail. The results revealed that when the spray frequency is constant, the heat transfer coefficient increases with an increase in duty cycle, but the cooling efficiency decreases. The spray frequency mainly affects the average heat transfer surface temperature and its uniformity. At 2.0 Hz, nanofluids with a mass fraction of 0.7 % exhibited the best intermittent spray performance, with an average heat transfer coefficient of 431.8 W/(m2·K). However, a continuous increase in the mass fraction of the nanofluids inhibited the heat transfer performance. The impact of droplets on the heat transfer surface, the liquid film heat transfer process, and the heat transfer characteristics of the nanofluid intermittent spray in the single- and two-phase states were further studied. The results revealed that the heat transfer of intermittent spray mainly depends on the properties and flow rate of the coolant in a single-phase state. Although the heat transfer performance of intermittent spray is evidently enhanced in the two-phase state, it still does not exceed that of continuous spray. These findings highlight the flexibility of nanofluid intermittent spray cooling in enhancing heat transfer control and can inform the development of energy-saving and intelligent cooling systems for engineering vehicles.

A prediction model based on data-driven method for velocity and heat transfer coefficient of falling-film liquid on horizontal tube

The prediction of liquid film velocity and heat transfer coefficient of horizontal-tube falling-film flow is important for the investigation and enhancement of the flow and heat transfer behavior. To date, the prediction mainly relies on semi-empirical-semi-theoretical formulas based on data fitting. This prediction method has many limitations and assumptions on working conditions, and the error is large when it is extended to practical applications. In this paper, a support vector regression machine prediction method based on sine cosine algorithm optimization is proposed to improve the prediction accuracy of the liquid film velocity and heat transfer coefficient. And the database was established by conducting horizontal-tube falling-film flow and heat transfer experiments. Results show that the support vector regression model has the best prediction performance with small sample size in comparison with other four machine learning methods and traditional correlation based on Least Square method. The RMSEs of liquid film prediction model and heat transfer prediction model are only 0.0281 and 0.0117 respectively. And the MAPEs are 8.58 and 2.63 respectively. The liquid film velocity and heat transfer coefficient were accurately predicted based on relevant parameters. The importance of these parameters was also analyzed.

Flipping: A Valve-Free Strategy to Control Fluid Flow in Centrifugal Microfluidic Systems

Centrifugal microfluidics has emerged as a technology to automate fluid handling at the microliter scale in bioassays. It has been mostly developed for point-of-care diagnostic applications, where assays involve a well-defined workflow. By contrast, this study introduces a microfluidic strategy that allows multiple workflows within the same device, thereby addressing the requirements of sample preparation steps in R&D settings. The corresponding device is a microfluidic chip that can be inserted either in a lab-on-a-disk or in the swinging-bucket of a commercial centrifuge. The control of liquid transfers from one chamber to the next is achieved by flipping the chip, thereby reorienting it in the centrifugal force field. The present experimental study describes the fluid instability that triggers the transfer upon flipping. A semi-empirical physical model is developed that predicts the acceleration threshold of the instability as a function of design parameters. By contrast to most existing control strategies in centrifugal microfluidics, the present strategy does not involve any valve. Consequently, it is robust to variations of material and sample properties, and it yields minimal fabrication constraints. Designing appropriately sized chambers enables flexible implementation of complex workflows. This strategy brings the miniaturization benefits of centrifugal microfluidics to sample preparation workflows.

Enhanced heat transfer in vented square enclosures with block structures: Exploring iso-perimetric shapes and multigrid approach for mixed convection of nano-fluids

A Multigrid approach was employed to examine the fluid flow and heat transfer features of a nano-fluid undergoing mixed convection within a vented enclosure featuring a variety of iso-perimetric-shaped obstacles. Concerning the cavity, the inlet port is situated at the lower left corner, while the outlet port is located at the upper right corner. The study involved conducting simulations with a range of control parameters by employing the higher-order mixed finite element technique. To capture key physical processes like mass transfer, fluid flow, and heat transfer within the model, we employed a numerical technique called finite element discretization. Specifically, we used a stable combination of cubic and quadratic (P3 ∕P2) approximations on a hybrid grid to discretize the governing equations, ensuring accurate and reliable results. The study examines the influence of governing parameters within specified ranges, including nanoparticle volume fraction (0 % ≤ φ ≤ 10 %), the Richardson number (0.01 ≤ Ri ≤ 5), and obstacle positions (0.3 ≤ C ≤ 0.7). Adding more nanoparticles to a liquid makes it better at conducting heat, which helps the liquid transfer heat more efficiently. The findings indicate that, in all instances, isothermal obstacles lead to a more significant increase in the average Nusselt number compared to adiabatic obstacles.

Ultrasound-assisted extractive-catalytic removal of micro-organic pollutants in liquid hydrocarbon fuels using highly active ZnO nanoparticles supported zinc-substituted phosphotungstate

To produce ultra-low sulfur diesel (ULSD), it is necessary to remove compounds such as 2-methylthiophene and 3-methylthiophene that cannot be isolated by conventional industrial methods. This paper presents, a phosphotungstate catalyst improved with zinc atoms placed on the surface of super active zinc oxide nanoparticles and is able to switch between two phases using a hydrophobic ionic liquid (transfer agent). Here, is a description of the synthesis of the α-keggin type hybrid nanocatalyst and its application for the removal of 2- methylthiophene and 3-methylthiophene. The nanocatalyst was subjected to various characterization techniques, including Fourier Transform Infrared Spectrometer (FTIR), X-ray diffraction (XRD), Scanning electron microscopy (SEM), Brunauer-Emmett-Teller (BET) Surface Area Analysis, Barrett-Joyner-Halenda (BJH) pore size and volume analysis and Energy-dispersive X-ray analysis(EDAX). The optimized conditions for the ultrasound-assisted extractive-catalytic oxidative desulfurization (UA-ECODS) process were determined using a statistical design, specifically the Box-Behnken design (BBD), which was proposed as a plan for designing experiments and studying the behavior of the parameters. The optimal conditions, which encompass four parameters, namely ultrasonic time, reactor temperature, amount of nanocatalyst, and oxidant concentration, are archived as 14.43 min, 40.52 °C, 86.27 mg catalyst, and 24 % H2O2 Respectively. The results indicated that the removal efficiency was higher for 2- methylthiophene than 3-methylthiophene. The paper concludes that the UA-ECODS method utilizing the synthesized nanocatalyst is a promising and effective approach for desulfurizing of liquid hydrocarbon fuels.

System design and clinical validation of intelligent nucleic acid POCT for un SARS-CoV-2 detection within 30 min

Rapid and accurate point-of-care-test (POCT) allows us to substantially accelerate taking clinical decisions and implement strategic planning at the national level of preventative measures in epidemic prevention and control. Here, we report Intelligent Nucleic Acid Test (iNAT) for the RT-qPCR detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) RNA with a limit of detection (LOD) of 22.4 copies/mL. iNAT is a sample-to-answer system consisting of an instrument and a fully enclosed detection chip containing reaction reagents, based on rotary valve liquid control technology, ultrasonic-assisted nucleic acid extraction (NAE) technology, thin-sheet rapid PCR technology, freeze-drying technology, liquid transfer, NAE and RT-qPCR are all completed automatically, quickly and efficiently, and free of cold chain transportation and storage. The user only needs to put the chip with 160 μL sample into the instrument and click to start, the test result will report after 30 min. In a clinical trial between the iNAT and the traditional RT-qPCR kits approved by National Medical Products Administration (NMPA), involving 158 throat swab samples, the concordance rate reached 96.2%, the positive percent agreement (PPA) is 95.8%, and the negative percent agreement (NPA) is 97.3%, the parallel analysis of Ct values of 115 positive samples was a high correlation (R2 = 0.95), 4 of 10 weak positive samples were missed by iNAT while 6 of 10 weak positive samples were missed by reference kits. In a word, iNAT system provide an ultra-high sensitivity and fast POCT detection method for SARS-CoV-2.

Experimental investigation of the oscillation threshold to limit state operation of a single branch pulsating heat pipe

The study investigates the characteristics of oscillations and associated thermo-hydrodynamic phenomena for startup, limit state, and intermediate transitional behavior of a pulsating heat pipe (PHP) with the help of its single branch. Experiments are performed on a transparent single branch PHP (SBPHP) at different orientations, evaporator and condenser section temperatures using n-pentane as the working fluid. The entire two-phase flow behavior is recorded with the help of shadowgraph based high speed imaging synchronized in real-time domain with pressure data acquisition at evaporator end. Instability threshold is determined in terms of evaporator temperature at different tube orientations and condenser temperatures. The oscillation startup mechanism along with the associated intermittency is studied in detail. The SBPHP is found to have characteristic variations in oscillation amplitude and frequency as it undergoes a gradual transition from its oscillation threshold to limit state. The mechanism by which the limit state creeps-in and intumesces further is an intrinsic function of liquid-vapor distribution in SBPHP, which in turn depends on the applied boundary conditions. The operational limit is governed by evaporator dryout exceeding permissible limits marked by the steep rise in the dry length of evaporator. As SBPHP approaches or operates at its limit state, evaporator is found to have different regimes across its length, viz., mild convective evaporation combined with subcooled nucleate boiling, saturated nucleate boiling, forced convective boiling, film breakdown and permanent dryout. The liquid film distribution, pressure fluctuations, and heat transfer components in evaporator at the limit state have also been studied.

A method to partition boiling heat transfer mechanisms using synchronous through-substrate high-speed visual and infrared measurements

Heat transfer during boiling involves a variety of transport mechanisms. Available experimental techniques cannot yet fully delineate these mechanisms which has contributed to a long-standing, persistent challenge of constructing accurate mechanistic models for boiling. In this work, we develop a method to identify and distinguish between the individual heat transfer mechanisms that occur during boiling using synchronous, through-substrate, high-speed visual and infrared measurements. Local heat fluxes are deduced from temperature measurements and a synchronized set of binarized phase maps are obtained from processing high-speed visual measurements. Experimental pool boiling investigation of HFE-7100 fluid on an indium tin oxide surface revealed four distinct heat transfer signatures in the heat flux maps corresponding to liquid convection, contact line evaporation, vapor convection, and local microconvection due to rewetting during boiling. To classify these regions, pixel-wise binary and morphological operations are performed on the phase maps of the entire surface. In contrast with prior partitioning techniques which use standalone heat flux measurements, our synchronous high-resolution visualization enables the region classification around fine bubble footprints that otherwise would not be detected with heat flux maps alone. The heat fluxes and superheats are then partitioned into their underlying mechanisms using classified regions from the phase maps. Analysis of the nucleate boiling regime data shows that different mechanisms contribute in varying degrees to the overall heat transfer at different points along the boiling curve: for the surface-fluid combination studied, single-phase liquid heat transfer is the primary contributor at low heat fluxes while at high heat fluxes, contact line evaporation contributed the most. We further employ the experimental approach to partitioning dynamic processes resulting from step increases in heat input demonstrating its potential for investigating transient phenomena such as dryout. The experimental and post-processing method introduced in this study is the first to delineate partitioning between different heat transfer mechanism regions in the presence of multiple interacting bubbles over the entire surface throughout the boiling curve in both steady and transient operating conditions.

Study on the turbulent Prandtl number model for liquid metal flow and heat transfer in a narrow rectangular channel

In order to improve the core power density of liquid metal reactors, plate-type fuel assemblies are typically used, which have obvious advantages in heat transfer capacity. For the low Prandtl number fluid, the RANS turbulence model-based CFD method needs to be modified by inserting the turbulent Prandtl number model. This paper investigated the turbulent Prandtl number model for the turbulent heat transfer of liquid metal flow in a narrow rectangular channel. First, the existing turbulent Prandtl number models were summarized and classified as the local turbulence Prandtl number model and the global turbulence Prandtl number model. They were evaluated based on the experimental data. The results showed that the prediction results of each model are not ideal. Then, a typical numerical example was used to analyze the temperature field and flow field in the narrow gap of a narrow rectangular channel. It was shown that the entire flow region only includes the near-wall region and the transition region, and the transition region accounts for the main proportion. A semi-empirical local turbulence Prandtl number model was obtained by solving the turbulent transport equation, and the unknown coefficients were determined iteratively with the experimental data. The error was controlled within ±20%. Finally, the applicability of the newly proposed turbulent Prandtl number model was explored, and the results showed that it has good applicability for the different runner sizes and different liquid metal types. This study can provide a reference for the numerical simulation of turbulent heat transfer of metal liquid in the narrow rectangular channel.

Microarray Platforms Based on 3D Printing.

This paper introduces an innovative method for the fabrication and infusion of microwell arrays based on digital light processing (DLP) 3D printing. A low-cost DLP 3D printer is employed to fabricate microstructures rapidly with a broad dynamic range while maintaining high precision and fidelity. We constructed microwell arrays with varying diameters, from 200 to 2000 μm and multiple aspect ratios, in addition to microchannels with widths ranging from 45 to 1000 μm, proving the potential and flexibility of this fabrication method. The superimposition of parallel microchannels onto the microwell array, facilitated by positive or negative pressure, enabled the transfer of liquid to the microwells. Upon removal of the microchannel chip, a dispensed microdroplet array was obtained. This array can be modulated by adjusting the volume of the microwells and the inflow fluid. The filled microwell array allows chip-to-chip dispensing to the microreactor array through binding and centrifugation, facilitating multistep and multireagent assays. The 3D printing approach also enables the fabrication of intricate cavity designs, such as micropyramid arrays, which can be integrated with parallel microchannels to generate spheroid flowcells. This device demonstrated the ability to generate spheroids and manipulate their environment. We have successfully utilized precise modulation of spheroids size and performed parallel drug dose-response assays to evaluate its effectiveness. Furthermore, we managed to execute dynamic drug combinations based on a compact spheroids array, utilizing two orthogonal parallel microchannels. Our findings suggest that both the combination and temporal sequence of drug administration have a significant impact on therapeutic outcomes.

Research on the influence of aeration manners on the mass transfer characteristics of bubbles in multi‐column airlift photobioreactor

AbstractMass transfer of bubbles is important in microalgae cultivation. In this study, aiming to improve the microalgae culturing efficiency, computational fluid dynamics (CFD) was adopted to study the influence of the aeration manners on mass transfer of bubbles within ascending columns in multi‐column airlift photobioreactor (PBR) and the hydrodynamic conditions within the PBR under different aeration manners. In addition, the bubble generation time, the detachment diameter, and the average volumetric mass transfer coefficient of bubbles in ascending columns were analyzed. Furthermore, the experimental results were compared with the simulation results obtained from microalgae cultivation. The results showed that the whole aeration manner yields the lowest mixing strength and mass transfer efficiency of bubbles at an aeration rate of 0.2 vvm. Conversely, both the mixing strength of the liquid and mass transfer coefficient of bubbles were enhanced under the half and alternate aeration manners. However, the results demonstrated that the distribution of the flow field was not uniform under the half aeration manner and there were obvious high‐speed and low‐speed zones. In contrast, the flow field distribution in the PBR was more uniform under the alternate aeration manner, which was suitable for microalgae cultivation at high concentration. This study effectively enhanced the mixing strength and CO2 transfer rate in the PBR.

Creating a Liquid Transfer Electrical Detector (LTED) to conduct an in-situ, non-destructive examination of the coating loss and weathering of white marble artifacts

A new testing instrument and method were designed to assess the weathering and coating of stone cultural relics. The test instrument applied the principle of transferring liquid to porous materials and monitoring the mass-transfer process in conjunction with impedance-testing instruments. The analysis of liquid transport through a material was based on the impedance–time curve, followed by an analysis of the material properties. The laboratory results indicated that the maximum values of conductivity and capacitance (G-max and C-max, respectively) were linearly and positively correlated with the porosity of white marble. Field experiments revealed that white marble components with higher G-max experienced more severe weathering, leading to a faster decrease in conductivity (G) and a larger difference in conductivity (ΔG). A higher level of aging resulted in better conductivity of components coated with lower-conductivity materials. The test method was nondestructive, portable, highly sensitive, and exhibited good stability during the testing process. This makes it promising for characterizing the properties of the insulating materials found in heritage sites, such as stone carvings, ceramics, and wall paintings.

Food vs packaging: Dynamics of oil migration from particle systems into fibrous material

Paper packaging for compacted or tabletted foods is seen as a key sustainable packaging of the future. Yet its fibrous structure is susceptible to absorb oils, fats, greases and other small molecules from the contacting food. Underlying phenomena associated with oil release from compacted food on fibre-based packaging, such as viscous liquid flow, capillarity, and gravity from compacted particle systems into fibre networks are not fully understood yet. As such, oil stain mitigation on packaging remains a challenge. Using model food tablets of 95% 500 and 50 μm particle size with 5% sunflower oil as the liquid phase, this work employed for the first-time quantitative Raman spectroscopic chemical imaging (RCI) coupled with automated image quantification for comparison of oil flow dynamics between food compacts and contacting paper packaging. The extent of de-oiling from the compact and imbibed into paper showed similar exponential decay with time for both porous systems. For the first time, oil migration dynamics on the food compact surface was 2D visualised via Raman spectroscopy and showed markedly different trends with varying environment climatic conditions and compact microstructure. The larger particle system leaked up to 50% of oil into paper, whereas the 50 μm system retained 100% of its oil, creating an effective internal oil barrier. This novel technique opens the way for further understanding liquid transfer between porous food media and harnessing microstructure engineering to increase food and packaging performance.

Practical deployment of automation to expedite aqueous two-phase extraction

The feasibility of bioprocess development relies heavily on the successful application of primary recovery and purification techniques. Aqueous two-phase extraction (ATPE) disrupts the definition of "unit operation" by serving as an integrative and intensive technique that combines different objectives such as the removal of biomass and integrated recovery and purification of the product of interest. The relative simplicity of processing large samples renders this technique an attractive alternative for industrial bioprocessing applications. However, process development is hindered by the lack of easily predictable partition behaviours, the elucidation of which necessitates a large number of experiments to be conducted. Liquid handling devices can assist to address this problem; however, they are configured to operate using low viscosity fluids such as water and water-based solutions as opposed to highly viscous polymeric solutions, which are typically required in ATPE. In this work, an automated high throughput ATPE process development framework is presented by constructing phase diagrams and identifying the binodal curves for PEG6000, PEG3000, and PEG2000. Models were built to determine viscosity- and volume-independent transfer parameters. The framework provided an appropriate strategy to develop a very precise and accurate operation by exploiting the relationship between different liquid transfer parameters and process error. Process accuracy, measured by mean absolute error, and device precision, evaluated by the coefficient of variation, were both shown to be affected by the mechanical properties, particularly viscosity, of the fluids employed. For PEG6000, the mean absolute error improved by six-fold (from 4.82% to 0.75%) and the coefficient of variation improved by three-fold (from 0.027 to 0.008) upon optimisation of the liquid transfer parameters accounting for the viscosity effect on the PEG-salt buffer utilising ATPE operations. As demonstrated here, automated liquid handling devices can serve to streamline process development for APTE enabling wide adoption of this technique in large scale bioprocess applications.

Advancements in Cotton Textile Design: Addressing Temperature and Moisture Challenges

The primary objective of this study is to alleviate discomfort arising from fluctuations in heat and humidity due to environmental and personal factors, aiming to develop functional textiles capable of effectively responding to these changes. To achieve this, systematic pattern designs were implemented on 100% cotton woven fabrics, incorporating hydrophobic characteristics through the application of a water-repellent agent to specific areas. The resulting compatibility of these hydrophobic features with hydrophilic elements endowed the fabrics with moisture management properties. Furthermore, the introduction of a phase-changing material agent to these fabrics imparted heat management capabilities. The rotation printing technique was employed to seamlessly transfer these agents onto the fabric. In assessing the durability of woven fabrics featuring distinct functionalities, a comprehensive examination was conducted, subjecting them to 30 repeated wash cycles within a single process step. The morphological structures of the fabrics produced were meticulously analyzed using SEM (scanning electron microscopy), SEM–EDX (energy-dispersive X-ray analysis) while their chemical compositions were scrutinized through FTIR–ATR (Fourier transform infrared spectroscopy–attenuated total reflectance). Additionally, a battery of tests, including physical, chemical, liquid absorption, liquid transfer assessments, and DSC (differential scanning calorimetry) analyses, were conducted in accordance with relevant standards. The outcomes of this study demonstrated that the fabrics not only met the criteria of the TS 866 standard, particularly with regard to a rapid response time of less than 10 s, but also exhibited resilience to repeated washings, affirming the enduring efficacy of the incorporated functionalities. According to tearing strength results, slight increase was also observed in treated cotton fabrics.