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Large amplitude oscillatory shear (LAOS) has been widely applied for performing rheological analysis of complex fluids, especially yield stress fluids (YSFs) encountered in nature, daily life, or industry. The Fourier transform (FT) rheology is considered one of the mainstays in LAOS since FT is an essential mathematic tool applied in numerous signal analysis fields. However, the challenge of understanding FT, diverse mathematical frameworks, and complicated data processing impede the intuitive accessibility and efficient implementation of the existing, even admirably successful LAOS methods. Thus, developing novel LAOS methods and simplifying methodology remain an unmet need. In this context, motivated by analytic geometry using coordinates instead of geometries, an analytical perspective in LAOS was highlighted by abstracting Fourier coefficients from stress/strain waveforms and substituting them into analytical solutions of LAOS methods, thereby proposing a new analytic LAOS (aLAOS) approach to tackle LAOS by reversely using the methodology of FT rheology. More specifically, the rheological signals and measures can be precisely reconstructed using Fourier coefficients instead of processing stress/strain waveforms. The influences of even harmonics on LAOS methods were described. Furthermore, considering the acquired results from the LAOS tests on the various typical YSFs, it was demonstrated that the aLAOS method yielded the same results as other methods and could visually distinguish the contribution of arbitrary higher harmonics. Consequently, this approach was potentially an alternative for a non-trivial candidate for the convenient treatment of LAOS, thus utilizing it as a tool to assist in the calculations of existing methodologies. [ABSTRACT FROM AUTHOR]

Despite water intrusion in microporous materials being extensively investigated, obtaining a detailed overview of the intrusion mechanism in materials with more complex morphology, topology, and physical–chemical characteristics, such as metal–organic frameworks (MOFs), is far from trivial. In this work, we present a qualitative study on the mechanism of water intrusion in a crystallite of hydrophobic Cu2(tebpz) (tebpz = 3,3′,5,5′-tetraethyl-4,4′-bipyrazolate) MOF. This MOF is characterized by a complex morphology; it consists of primary (main channels) and secondary (lateral apertures) porosities. This is similar to some zeolites, such as the so-called ITT-type zeolite framework, but it presents the additional characteristics of high flexibility of the material and non-uniform hydrophobicity. Interestingly, in Cu2(tebpz), water intrusion occurs first for some of the channels lying tangent to the surface of the MOF's crystallite. This is due to hydrogen bonding bridging with bulk water across the (thin) lateral apertures of these channels. In macroscopic terms, this can be understood as a local reduction of hydrophobicity favoring intrusion. Temperature and pressure influence the average number of hydrogen bonds and the number of intruded water molecules, explaining the effect of these thermodynamic parameters on the intrusion/extrusion characteristics of this porous material. Molecular dynamics simulations allowed us to glimpse liquid intrusion in this complex hydrophobic material, highlighting how the classical models valid for mesoporous systems, namely, Young–Laplace's law, are not quite appropriate to describe intrusion in such materials. [ABSTRACT FROM AUTHOR]

Although the nonmonotonic variation in the diffusion coefficients of alcohol and water with changing alcohol concentrations in aqueous solutions has been reported for many years, the underlying physical mechanisms remain unclear. Using molecular dynamics simulations, we investigated the molecular diffusion mechanisms in aqueous methanol solutions. Our findings reveal that the molecular diffusion is co-influenced by hydrogen bonding and the hydrophobic ends of methanol molecules. A stronger hydrogen bond (HB) network and a higher concentration of hydrophobic ends of methanol molecules both enhance molecular correlations, thereby slowing molecular diffusion in the solution. As methanol concentration increases, the HB network weakens, facilitating molecular diffusion. However, the increased concentration of hydrophobic ends counteracts this effect. Consequently, the diffusion coefficients of water and methanol molecules exhibit nonmonotonic changes. Previous studies have only focused on the role of HB networks. For the first time, we have identified the impact of the hydrophobic ends of alcohol on molecular diffusion in aqueous alcohol solutions. Our research contributes to a better understanding and manipulation of the properties of aqueous alcohol solutions and even liquids with complex compositions. [ABSTRACT FROM AUTHOR]

A free-energy functional is presented to explicitly take into account pair correlations between molecules in inhomogeneous fluids. The framework of classical density functional theory (DFT) is used to describe the variation in the density of molecules interacting through a Mie (generalized Lennard-Jones) potential. Grand Canonical Monte Carlo simulations are performed for the systems to validate the new functional. The statistical associating fluid theory developed for Mie fluids (SAFT-VR Mie) is selected as a reference for the homogeneous bulk limit of the DFT and is applied here to systems of spherical non-associating particles. The importance of a correct description of the pair correlations for a reliable representation of the free energy in the development of the equation of state is duly noted. Following the Barker–Henderson high-temperature expansion, an analogous formulation is proposed from the general DFT formalism to develop an inhomogeneous equivalent of the SAFT-VR Mie free energy as a functional of the one-body density. In order to make use of this new functional in adsorption studies, a non-local version of the DFT is considered, with specific weighted densities describing the effects of neighboring molecules. The computation of these quantities is possible in three-dimensional space for any pore geometry with repulsive or attractive walls. We showcase examples to validate the new functional, revealing a very good agreement with molecular simulation. The new SAFT-DFT approach is well-adapted to describe realistic complex fluids. [ABSTRACT FROM AUTHOR]

This investigation explores the plasmonic effect on molecular fluorescence within ternary liquid systems comprising 7-amino-4-(trifluoromethyl) coumarin (C-151) laser dye, ethanol, and benzaldehyde. A key aspect of our investigation involves examining ZrN nanosphere and ZrN nanoshell within these mixtures, marking the first instance of such an analysis in ZrN and ternary liquid compositions. Utilizing experimentally obtained refractive indices, we evaluate resonance peaks in the spectra and their shifts. Our findings reveal improved fluorescence characteristics in C-151 laser dye with the addition of ZrN nanoparticles. Theoretical results suggest that plasmonic nanoparticles play a significant role in enhancing dye fluorescence. These findings deepen our understanding of plasmonics in complex liquid environments and highlight ZrN's potential as an effective alternative plasmonic material for efficient molecular energy transfer at the nanoscale. [ABSTRACT FROM AUTHOR]

In the liquid phase of heterogeneous catalysis, solvent plays an important role and governs the kinetics and thermodynamics of a reaction. Although it is often difficult to quantify the role of the solvent, it becomes particularly challenging when a zeolite is used as the catalyst. This difficulty arises from the complex nature of the liquid/zeolite interface and the different solvation environments around catalytically active sites. Here, we use ab initio molecular dynamics simulations to probe the local solvation structure and dynamics of methanol and water over MWW zeolite nanosheets with varying Brønsted acidity. We find that the zeolite framework and the number and location of the acid sites in the zeolite influence the structure and dynamics of the solvent. In particular, methanol is more likely to be in the vicinity of the aluminum (Al3+) at the T4 site than at T1 due to easy accessibility. The methanol oxygen binds strongly to the Al at the T4 site, weakening the Al–O for the bridging acid site, which results in the formation of the silanol group, significantly reducing the acidity of the site. The behavior of methanol is in direct contrast to that of water, where protons can easily propagate from the zeolite to the solvent molecules regardless of the acid site location. Our work provides molecular-level insights into how solvent interacts with zeolite surfaces, leading to an improved understanding of the catalytic site in the MWW zeolite nanosheet. [ABSTRACT FROM AUTHOR]

Crystal polymorphism of complex liquids plays a crucial role in industrial crystallization, food technology, pharmaceuticals, and materials engineering. However, the experimental identification of unknown crystal structures can be challenging, particularly for high-viscosity complex liquids, such as ionic liquids (ILs). In this study, we performed a molecular dynamics simulation coupled with metadynamics to investigate an imidazolium IL (1-alkyl-3-methylimidazolium hexafluorophosphates). The simulation employed two distinct radial-distribution functions, represented by Gaussian window functions as collective variables, and revealed at least two crystal-like phases distinct from the known α and β crystal phases typically formed by this IL. Additionally, the simulation unveiled a unique phase characterized by the ordered spatial arrangement of anion aggregations. These crystal-like and unique phases emerged regardless of the potential used. The simulation methodology presented here is broadly applicable for exploring unknown phases in complex systems and contributes to the design of functional materials, such as porous ILs for gas molecule capture and separation. [ABSTRACT FROM AUTHOR]

Application: The impact of flow, heat transfer, and magneto hydrodynamics on sensor surfaces between two parallel compressing plates with porous walls has been examined in this study. This study focuses on understanding unsteady compressed flow in two dimensions, utilizing Aluminum oxide, copper oxide, and titanium dioxide with base fluid polymers as the base fluid. Nanofluids, known as nanometer suspensions in traditional nanoscale fluid transfer, are explored for their potential application in improving lubricative and cooling properties. Purpose and methodology: This study aims to investigate the behavior of a tri-hybrid nanofluid (Aluminum oxide, copper oxide, and titanium dioxide with base fluid polymers) in terms of flow dynamics, heat transfer, and magneto hydrodynamics. Energy and momentum equations, considering magneto hydrodynamic forms and heat transfer, are analyzed. The study employs numerical methods, including similarity transforms and a shooting approach, to solve the governing equations. Core findings: Several parameters, including permeable parameter, magnetic parameter, squeeze flow index parameter, volume fraction by nanoparticles, and radiation parameter, are investigated for their effects on temperature profile and velocity profile. The study illustrates these effects graphically and discusses the influence of these parameters on different components of velocity and temperature fields. Additionally, the impact of the radiation parameter (R) on temperature fields is examined for both positive. Future work: Future research may focus on further optimizing the tri-hybrid nanofluid composition for specific applications, exploring additional parameters that may affect flow behavior, heat transfer, and entropy generation. Additionally, experimental validation of the numerical findings and the development of more advanced numerical techniques for solving complex fluid dynamics problems could be the areas of interest for future work. [ABSTRACT FROM AUTHOR]

This investigation involves a comprehensive analysis of the flow characteristics, including velocity profiles, pressure distribution, temperature distribution and streamlines of an electroosmotic induced peristaltic flow of a nanofluid in a porous channel. The hybrid nanofluid's influence on heat transfer and convective cooling is studied in detail. The research incorporates numerical simulations to model the coupled effects of electroosmosis and peristalsis, providing insights into the synergistic impact on fluid transport and thermal performance. Results indicate that the hybrid nanofluid exhibits unique thermal and rheological properties. We found that stronger electric fields enhance heat transfer and higher Soret number indicates stronger thermal gradients. The findings contribute to the understanding of complex fluid dynamics in microchannels, offering valuable insights for designing advanced systems for thermal and transport properties in microfluidic devices, drug delivery, and biomedical engineering. It is seen that with the increase in Biviscosity parameter, the velocity profile rises 5%. Further it is seen that rising 2% in Biviscosity parameter ξ, the temperature profile rise 2.5%. [ABSTRACT FROM AUTHOR]

Several lines of evidence, including hydrous melt inclusions and unusually Cl-rich apatite, have been used to suggest that the reappearance of olivine and PGE-sulfide of the J-M Reef in the Stillwater Complex, Montana, is due to fluid infiltration and hydration melting. This study builds upon the hydration melting model using the programs MELTS and PELE with Stillwater bulk rock compositions for the original protolith. Cl-bearing phases are not modeled by MELTS and thus simple oxide mixtures of either a pure H2O or a H2O + Na2O "faux brine" are added to norite, gabbronorite, and melanorite protoliths at 1050 °C at 2 kbar pressure, conditions for which the nominally "dry" protolith is > 95% solid. Incongruent hydration melting results in up to 37% olivine produced in the melanorite. The olivine Fo content is a function of the partial melt retained on cooling, and ranges between 76 and 86, overlapping the natural range of olivine compositions observed in the rocks. Modeling with the PELE program, which includes a silicate liquid Cl component, sulfur species, and a more complex C-O–H-S fluid, suggests that, for CO2-rich fluids, fluid metal concentrations on the order of 25 ppm Pt, 75 ppm Pd, 0.03 wt.% Cu, and 0.20 wt.% Ni at a fluid/rock mass ratio of ~ 0.25 are needed to account for the observed ore grades. Sulfide and ore metals are readily remobilized for more H2O-rich fluids, consistent with heterogeneous distribution of sulfide and regionally variable ore grades. [ABSTRACT FROM AUTHOR]

Despite centuries of investigation, bubbles continue to unveil intriguing dynamics relevant to a multitude of practical applications, including industrial, biological, geophysical, and medical settings. Here we introduce bubbles that spontaneously start to 'gallop' along horizontal surfaces inside a vertically-vibrated fluid chamber, self-propelled by a resonant interaction between their shape oscillation modes. These active bubbles exhibit distinct trajectory regimes, including rectilinear, orbital, and run-and-tumble motions, which can be tuned dynamically via the external forcing. Through periodic body deformations, galloping bubbles swim leveraging inertial forces rather than vortex shedding, enabling them to maneuver even when viscous traction is not viable. The galloping symmetry breaking provides a robust self-propulsion mechanism, arising in bubbles whether separated from the wall by a liquid film or directly attached to it, and is captured by a minimal oscillator model, highlighting its universality. Through proof-of-concept demonstrations, we showcase the technological potential of the galloping locomotion for applications involving bubble generation and removal, transport and sorting, navigating complex fluid networks, and surface cleaning. The rich dynamics of galloping bubbles suggest exciting opportunities in heat transfer, microfluidic transport, probing and cleaning, bubble-based computing, soft robotics, and active matter. Bubbles, long studied for their diverse dynamics across industrial, biological, and medical applications, continue to reveal unexpected behaviors. This study introduces galloping bubbles, a novel self-propulsion mechanism driven by shape oscillations in a vibrated fluid chamber, offering potential for applications in fluid transport, cleaning, and active matter. [ABSTRACT FROM AUTHOR]

In the design of fluid systems, rapid iteration and simulation verification are essential, and reduced-order modeling techniques can significantly improve computational efficiency and accuracy. However, traditional Physics-Informed Neural Networks (PINNs) often face challenges such as vanishing or exploding gradients when learning flow field characteristics, limiting their ability to capture complex fluid dynamics. This study presents an enhanced reduced-order model (ROM): Physics-Informed Neural Networks based on Residual Networks (Res-PINNs). By integrating a Residual Network (ResNet) module into the PINN architecture, the proposed model improves training stability while preserving physical constraints. Additionally, the model's ability to capture and learn flow field states is further enhanced by the design of a symmetric parallel neural network structure. To evaluate the effectiveness of the Res-PINNs model, two classic fluid dynamics problems—flow around a cylinder and Vortex-Induced Vibration (VIV)—were selected for comparative testing. The results demonstrate that the Res-PINNs model not only reconstructs flow field states with higher accuracy but also effectively addresses limitations of traditional PINN methods, such as vanishing gradients, exploding gradients, and insufficient learning capacity. Compared to existing approaches, the proposed Res-PINNs provide a more stable and efficient solution for deep learning-based reduced-order modeling in fluid system design. [ABSTRACT FROM AUTHOR]

The diagnosis of kidney diseases presents significant challenges, including the reliance on variable and unstable biomarkers and the necessity for complex and expensive laboratory tests. Raman spectroscopy emerges as a promising technique for analyzing complex fluids, like urine, and detecting important disease biomarkers. However, its complexity, high cost and limited accessibility outside clinical contexts complicate its application. Moreover, the analysis of Raman spectra is a challenging and intensive task. In response to these challenges, in this study, we developed a portable, simplified and low-cost Raman system designed to acquire high-quality spectra of liquid complex samples. Using the "Starter Edition" methodology from the OpenRAMAN project, the system was optimized through laser temperature adjustments, by evaluating the laser emission spectrum under different temperatures with a spectrometer, and through adjustment of the acquisition parameters of the software used, by acquiring the ethanol spectra. The system validation was performed through the acquisition of Raman spectra from five urine samples, demonstrating its consistency and sensitivity to composition variations in urine samples. Additionally, a neural network was designed and trained using methanol and ethanol solutions. The model's hyperparameters were optimized to maximize its precision and accuracy, achieving 99.19% accuracy and 99.21% precision, with a training time of approximately 3 min, underlining the model's potential for classifying simple Raman spectra. While further system validation with more samples, a more in-depth analysis of the biomarkers present in urine and the integration with more sophisticated elements are necessary, this approach demonstrates the system characteristics of affordability and portability, making it a suitable solution for point-of-care applications and offering simplified accessibility for assessing the diseases risk outside clinical contexts. [ABSTRACT FROM AUTHOR]

Swash plate axial piston pumps play an important role in hydraulic systems due to their superior performance and compact design. As the controlled object of the valve-controlled hydraulic cylinder, the swash plate is affected by the complex fluid dynamics effect and the mechanical structure, which is prone to vibration, during the working process, thereby adversely affecting the dynamic performance of the system. In this paper, an electronically controlled ball screw type variable displacement mechanism with stiffness compensation is proposed. By introducing piezoelectric ceramic materials into the nut assembly, dynamic stiffness compensation of the system is achieved, which effectively changes the vibration characteristics of the swash plate and thus significantly improves the working stability of the system. Based on this, the stiffness model of a double nut ball screw is established to obtain the relationship between piezoelectric ceramics and the double nut. An asymmetric Bouc–Wen piezoelectric actuator model with nonlinear hysteresis characteristics is also established, and a particle swarm algorithm with improved inertia weights is utilized to identify the parameters of the asymmetric Bouc–Wen model. Finally, a piezoelectric actuator model based on the feedforward inverse model and a PID composite control algorithm is applied to the variable displacement mechanism system for stiffness compensation. [ABSTRACT FROM AUTHOR]

Objective: Boron Neutron Capture Therapy (BNCT) is a novel precision radiotherapy. The key to BNCT application lies in the effective targeting and retention of the boron-10 (10B) carrier. Among the various compounds studied in clinical settings, 4-boronophenylalanine (BPA) become the most prevalent one currently. However, challenges such as inadequate solubility and restricted tumor accumulation have affected the clinical efficacy of treatment with BPA. Therefore, there is an urgent need to prepare formulations with higher tumor uptake efficiency and increased intratumoral accumulation. Methods: polyethylene glycol 400 and BPA were added to methanol and stirred until completely dissolved. The solution was then evaporated to remove methanol, yielding a pale-yellow clear liquid of the PEG400-BPA complex. This complex was then used for in vitro and in vivo experiments, and it was evaluated for inhibition effects after BNCT irradiation in GL261 cells. Results: Compared to the clinically used fructose-BPA, PEG400-BPA increased the boron uptake in tumor cells nearly twice and exhibited a better tumor-to-normal tissue ratio (T/N) in the in vivo studies. Due to the BNCT efficacy with PEG400-BPA through in vitro experiments, the PEG400-BPA group also had showed significant cell-killing effects. Conclusion: We discovered that PEG400 can form a complex with BPA, significantly improving its water solubility. It provides a simple, long-term stable, easily convertible, and injectable formulation method for the delivery of BPA in BNCT treatment. It also offers new insights for BPA solubilization and formulation as well as compound forms of administration of boron drugs on the delivery of boron drugs in BNCT. The preparation process of PEG400-BPA and its role in increasing intratumoral boron uptake in cytologic and in vivo experiments (created with BioRender.com) [ABSTRACT FROM AUTHOR]

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The integrated design of the heat exchanger network (HEN) and organic Rankine cycle (ORC) system with new working fluids is a complex optimization problem. It involves navigating a vast design space across working fluid molecules, ORC processes, and networks. In this article, a new two‐stage reverse strategy is developed. The optimal HEN‐ORC configurations and operating conditions, and the thermodynamic properties of the hypothetical working fluid are identified by an equation of state (EOS) free HEN‐ORC model in the first stage. With two developed group contribution‐artificial neural network thermodynamic property prediction models, working fluid molecules are screened out in the second stage from a database containing more than 430,000 hydrofluoroolefins (HFOs). The presented method is employed in two cases, where new working fluids are found. The total annual cost of Case 1 is 12%–22% lower than the literature, and the power output of Case 2 is 5%–8% higher than the literature. [ABSTRACT FROM AUTHOR]

[Display omitted] Harnessing electrical energy from salinity gradients, particularly for powering micro and nanoscale devices, has become a focal point of recent research attention, due to its renewable and biocompatible nature. Much of the reported research in that direction revolves around optimizing the membrane architecture and the charge distribution to maximize the induced electric potential, with no particular emphasis on the fluid rheology. However, many of the modern miniature systems, typically the bio-inspired ones, concern fluids with complex rheological characteristics, where the results for Newtonian solvents may not trivially apply. Here, we hypothesize that the interplay between interfacial electro-mechanics and the fluid rheology can influence the effectiveness of salinity-gradient-modulated electrokinetics significantly – an aspect that has largely remained overlooked. Here we report the first experiments supplemented by a theoretical model that unveil how that the addition of polymers in a solvent modulates the salinity gradient – induced electric potential in a microfluidic channel. Our theoretical framework considers the simplified Phan-Thien Tanner (sPTT) constitutive model, which represents the viscoelastic characteristics of fluids. Experiments were conducted with combined pressure driven and salinity gradient driven flow through microchannel involving dilute solutions of polyethylene oxide (PEO) of different molecular weights and concentrations to successfully validate the theoretical approach. Our findings indicate that the induced electrical potential increased non-linearly with the saline concentration ratio across the microchannel, as compared traditional linear response. Our results demonstrate how the elasticity of fluid may enable realizing an optimal benefit to this effect, by arresting the viscous resistance and uplifting the elastic response via utilizing polymeric inclusions of high relaxation times. These results provide specific insights on preferential windows of augmenting the induced streaming potential by harnessing the viscoelastic nature of the solution and the imposed salt concentration, bearing critical implications in miniature energy harvesting and desalination technology. [ABSTRACT FROM AUTHOR]

We analyse the motion of a flagellated bacterium in a two-fluid medium using slender body theory. The two-fluid model is useful for describing a body moving through a complex fluid with a microstructure whose length scale is comparable to the characteristic scale of the body. This is true for bacterial motion in biological fluids (entangled polymer solutions), where the entanglement results in a porous microstructure with typical pore diameters comparable to or larger than the flagellar bundle diameter, but smaller than the diameter of the bacterial head. Thus, the polymer and solvent satisfy different boundary conditions on the flagellar bundle and move with different velocities close to it. This gives rise to a screening length $L_B$ within which the fluids exchange momentum and the relative velocity between the two fluids decays. In this work, both the solvent and polymer of the two-fluid medium are modelled as Newtonian fluids with different viscosities $\mu _s$ and $\mu _p$ (viscosity ratio $\lambda = \mu _p/\mu _s$), thereby capturing the effects solely introduced by the microstructure of the complex fluid. From our calculations, we observe an increased drag anisotropy for a rigid, slender flagellar bundle moving through this two-fluid medium, resulting in an enhanced swimming velocity of the organism. The results are sensitive to the interaction between the bundle and the polymer, and we discuss two physical scenarios corresponding to two types of interaction. Our model provides an explanation for the experimentally observed enhancement of swimming velocity of bacteria in entangled polymer solutions and motivates further experimental investigations. [ABSTRACT FROM AUTHOR]

Polymer microgels are swollen macromolecular networks with a typical size of hundred of nanometers to several microns that show an extraordinary open and responsive architecture to different external stimuli, being therefore important candidates for nanobiotechnology and nanomedical applications such as biocatalysis, sensing and drug delivery. It is therefore crucial to understand the delicate balance of physical-chemical interactions between the polymer backbone and solvent molecules that to a high extent determine their responsivity. In particular, the co-nonsolvency effect of poly(N -isopropylacrylamide) in aqueous alcohols is highly discussed, and there is a disagreement between molecular dynamics (MD) simulations (from literature) of the preferential adsorption of alcohol on the polymer chains and the values obtained by several empirical methods that mostly probe the bulk solvent properties. It is our contention that the most efficacious method for addressing this problem requires a nanoscopic method that can be combined with spectroscopy and record fluorescence spectra and super-resolved fluorescence lifetime images of microgels labeled covalently with the solvatochromic dye Nile Red. By employing this approach, we could simultaneously resolve the structure of sub-micron size objects in the swollen and in the collapsed state and estimate the solvent composition inside of them in ▪–▪ mixtures for two very different polymer architectures. We found an outstanding agreement between the MD simulations and our results that estimate a co-solvent molar fraction excess of approximately 3 with a very flat profile in the lateral direction of the microgel.   • STED-FLIM resolves the structure and solvent composition in submicron-sized PNIPAM microgels in methanol-water mixtures. • Our methodology allows us to measure the distribution of protic solvents in complex liquid mixtures without the need of any calibration. • We found an outstanding agreement between our FLIM results and MD simulations (from literature) for the molar fraction excess of methanol. [ABSTRACT FROM AUTHOR]

AbstractBiosensors have become increasingly popular for the detection of hormones and neurotransmitters due to their affordability, ease of use, high sensitivity, and miniaturization potential. Modifications of biosensors, particularly with nanoparticles (NPs), enhance sensitivity, selectivity, and response time by providing a bridge between the bioreceptor and transducer. Melatonin (MT) and serotonin (5-HT), key neurotransmitters in various biological processes, are associated with major depressive disorder and share metabolic pathways. Their coexistence and interrelated roles necessitate rapid and accurate methods for the simultaneous detection of MT and 5-HT in complex fluids. This review focuses on studies that have employed electrochemical methods for the simultaneous determination of MT and 5-HT, with an emphasis on the advantages of using metal oxide NPs, noble metal NPs, and carbon nanotubes (CNTs) for electrode modifications. [ABSTRACT FROM AUTHOR]

While CO2 foams have been utilized for tertiary oil recovery and carbon collection, utilization, and storage for quite some time, but due to foam instability, the storage efficiency and enhanced oil recovery (EOR) of this method have been less efficient. Pickering foam represents a complex fluid made of CO2 bubbles stabilized by nanoparticles in water (NPs). This approach considerably enhances EOR and CO2 storage performance. The various mechanisms influencing the stabilization of a foam by an NPs have also been discussed. As a CO2 foam enhancer, NPs improve the foam layer & interfacial dilatational viscoelasticity and dynamic CO2 storage. Incorporating NPs on the foam lamella inhibits foam bubble disintegration and enhances foam's durability. The novelty of the work lies in the concise explanation of various mechanisms influencing the success of Pickering foams in this role. A stable CO2 foam when injected into a heterogeneous porous media causes a larger areal sweep, even under adverse shear conditions and regains initial rheological profile, once shear is withdrawn, and the improved CO2 storage contributed to a boost in sweep efficiency, enabling the collection of larger amounts of oil. [ABSTRACT FROM AUTHOR]

We present an optomechanical method for locally measuring the rheological properties of complex fluids in the ultra-high frequency range (UHF). A mechanical disk of microscale volume is used as an oscillating probe that monitors a liquid at rest, while the oscillation is optomechanically transduced. An analytical model for fluid-structure interactions is used to deduce the rheological properties of the liquid. This method is calibrated on liquid water, which despite pronounced compressibility effects remains Newtonian over the explored range. In contrast, liquid 1-decanol exhibits a non-Newtonian behavior, with a frequency-dependent viscosity showing two relaxation times of 797 and 151 picoseconds, associated to supramolecular and intramolecular processes. A shear elastic response appears at the highest frequencies, whose value allows determining the volume of a single liquid molecule. UHF optomechanical micro-rheology provides direct mechanical access to the fast molecular dynamics in a liquid, in a quantitative manner and within a sub-millisecond measurement time. An optomechanical probe measures the rheological properties of liquids in a microscopic volume. Operating at ultra-high frequency, it reveals compressibility effects in water, while unveiling non-Newtonian behavior in a long chain alcohol. [ABSTRACT FROM AUTHOR]

A two-component discrete Boltzmann method (DBM) is employed to study the compressible Kelvin–Helmholtz (KH) instability with dual-mode interface perturbations, consisting of a fundamental wave and a second harmonic. The phase difference is analyzed in two distinct ranges, and the amplitude ratio is studied by varying the amplitude of either the first or second harmonic. The global average density gradient and the global mixing degree are analyzed from a hydrodynamic non-equilibrium perspective. The thermodynamic non-equilibrium (TNE) intensity is probed as a thermodynamic non-equilibrium variable. The system is also explored from a geometric perspective, with a focus on the rotation of two vortices, the mixing layer width, and the non-equilibrium area. Physically, under the influence of shear velocity, the fluid interface becomes distorted and progressively elongated, resulting in the formation of two small vortex structures and an enhancement of the physical gradient. The two vortices then begin to interact and merge into a single large vortex with complex fluid structures. Consequently, the physical gradient decreases, and the local TNE intensity weakens. Subsequently, the material interface elongates further, increasing the non-equilibrium region and enhancing the local TNE intensity. Finally, the physical gradient decreases due to dissipation and/or diffusion, weakening the local TNE intensity. [ABSTRACT FROM AUTHOR]

Large amplitude oscillatory shear (LAOS) test has been used to elucidate the nonlinear viscoelastic behaviors of soft matter or complex fluids under large and rapid deformations encountered in production and application, especially for most polymeric materials. In this work, combined with recovery rheology, the physical visualization of the start and end yield stress values of yield stress fluids determined by the algebraic stress bifurcation (ASB) method is further interpreted in extenso. Facing the issue of unrecoverable deformations that may occur below the yield stress, the ASB method suggests the start and end yield stresses by considering the timescale, thereby linking the yield stress determination and nonlinear behavior analysis in LAOS. The unusual sharp corners in the Lissajous curves induced by the Kamani–Donley–Rogers (KDR) model are also revealed and treated by viscosity regularization. The correlation among the yield points determined by ASB and stress bifurcation, the responses of the KDR model, and corresponding results and insights by main LAOS analyses in representative cases are comprehensively discussed. This work contributes to a new understanding of stress bifurcation. [ABSTRACT FROM AUTHOR]

In this study, the head-on collision process of compound droplets of unequal sizes in a liquid environment is investigated using the volume of fluid method. The investigation reveals four main collision mechanisms: coalescence stabilization, coalescence release, rupture entrapment, and rupture coalescence. The transition between these collision mechanisms is analyzed in detail according to We. The effects of various initial collision parameters on the relative offset velocity CSrov, axial thicknesses l* and radial thicknesses h*, deformation coefficients, and core droplet release time Crt of compound droplet core shells were quantitatively analyzed. Additionally, this study examines the collision process of multi-layer compound droplets, revealing a more complex dynamic evolution of the interface, including the coalescence-release-entrapment phase and changes in the release direction. This study not only provides theoretical support for understanding the stability of compound droplets but also provides new insight into understanding multi-phase interactions in complex fluid systems. [ABSTRACT FROM AUTHOR]

The allure of rotating systems and their heat transfer behaviors captivates both researchers and practitioners due to their theoretical significance and practical utility. This research delves into the cooling phenomenon on the outer surface during periodic stirring of hot or cold water/tea, serving as a key to unraveling the underlying mechanisms. Utilizing a combination of experimental measurements and numerical simulations, we clarify the dynamics of water and complex fluids. This study offers a straightforward tool for swift heat transfer rate measurements, providing valuable insights into optimizing heat transfer processes across scientific and industrial domains. [ABSTRACT FROM AUTHOR]

While extracellular vesicles (EVs) demonstrate growing potential as innovative cell‐derived nanobiotherapies in diverse medical contexts, their physical properties (size, integrity, transport, etc.) in drug product formulation remain a critical concern poorly addressed so far. Herein, a methodology that relies on nanoparticle tracking analysis by interferometric light microscopy (ILM) for analyzing the concentration and size distribution of nanoparticles as well as their interactions with their local environment through a nanorheological approach is introduced. The analysis of interference patterns enables nanoparticles tracking not only in aqueous solutions but also in complex media with high‐viscosity or non‐Newtonian behavior, particularly pertinent for characterizing EV formulations. A proof of concept for in situ tracking of EVs suspended in Poloxamer‐407 as drug delivery system is presented. The ILM‐based analysis enables to 1) measure the viscosity at the nanoscale for Newtonian and non‐Newtonian fluids via calibration beads; 2) analyze data to determine the size distribution of EVs in non‐Newtonian complex fluid such as poloxamer formulation, and 3) analyze the interactions of EVs with poloxamer‐407. The proposed approach represents a valuable tool to understand the nanorheological behavior of EVs in viscoelastic media in situ as well as a quality control test for EV formulations intended to clinical use. [ABSTRACT FROM AUTHOR]

This study investigates how thermal radiation, viscous dissipation, double-diffusive convection, and slip boundaries collectively affect the peristaltic movement of a magneto-pseudoplastic nanofluid within a uniform channel. The inclusion of slip boundary conditions at the channel walls helps to accurately represent the flow behavior of the nanofluid near these boundaries. The magneto-pseudoplastic nanofluid exhibits peculiar rheological features to flow dynamics due to pseudoplastic characteristics of nanoparticles in its composition and exposure to magnetic force. The mathematical formulation of motion equations is done through appropriate technique combining the properties of heat radiation, magnetic flux, double diffusion convection, and rheological features. The equation is further simplified by suitable method. The current study aims to evaluate the peristaltic movement under influence of slip boundaries characteristics, sort of concentration, heat radioactivity, flux properties, and temperature profile. Moreover, it will assess the flow dynamics with ratio of mass and heat exchange under the effect of critical parameters which include Prandtl number, Grashof number, slip limitations, and Hartmann number. So, the research will widen the theoretical underpinning of complex fluid transportation of magneto-pseudoplastic nanofluids under peristaltic flux and explicate the practical outcomes in terms of slip boundary settings in such systems. The results and conclusions are imperative for restructuring and devising biomedicine engineering, microfluidic equipment and gadgets, manufacturing techniques for complex fluid with peristaltic flow under the influence of slip limitations and magnetic force. [ABSTRACT FROM AUTHOR]

Rheology plays a pivotal role in understanding the flow behavior of fluids by discovering governing equations that relate deformation and stress, known as constitutive equations. Despite the importance of these equations, current methods for deriving them lack a systematic methodology, often relying on sense of physics and incurring substantial costs. To overcome this problem, we propose a novel method named Rheo-SINDy, which employs the sparse identification of nonlinear dynamics (SINDy) algorithm for discovering constitutive models from rheological data. Rheo-SINDy was applied to five distinct scenarios, four with well-established constitutive equations, and one without predefined equations. Our results demonstrate that Rheo-SINDy successfully identified accurate models for the known constitutive equations and derived physically plausible approximate models for the scenario without established equations. Notably, the identified approximate models can accurately reproduce nonlinear shear rheological properties, especially at steady state, including shear thinning. These findings validate the availability of Rheo-SINDy in handling data complexities and underscore its potential for advancing the development of data-driven approaches in rheology. Nevertheless, further refinement of learning strategies is essential for enhancing robustness to fully account for the complexities of real-world rheological data. [ABSTRACT FROM AUTHOR]

The current computational exploration develops a poroelastic model of the knee cartilage to elevate its temperature under cyclic sinusoidal loading. A contributing factor to the rise in temperature is this tissue's viscous dissipation, which converts some of the mechanical energy supplied into heat. The manipulation of cartilage temperature is mostly reliant on the movement of synovial fluid inside the space between joints and within the permeable cartilage. We developed the region flow model in the presence of induced magnetic fields and gold nanoparticles, which enhanced the efficiency of joint lubrication by boosting the load-carrying capacity. We dealt with the problem for two different models. Model 1 assumes that viscosity is exponentially dependent on concentration. The shear thinning index in Model 2 is regarded as a concentration-dependent variable. We introduce these models for a complex wavy surface, where the first-order slip effect occurs. We modified the governing problem by assuming a long wavelength and a low Reynolds number. We followed up with a computational analysis utilizing the Rung–Kutta–Merson approach with Newton iteration in a shooting and matching strategy. We have conducted detailed comparisons between Model 1 and Model 2. The graphical findings have been shown for the distributions of velocity, temperature, and nanoparticle concentration. Additionally, the pressure gradients, streamlines, and axially generated magnetic fields have also been included. These results are presented for numerous physical parameters. The mechanics of trapping are thoroughly examined through the use of streamlines. [ABSTRACT FROM AUTHOR]

The merging of two fluid drops is one of the fundamental topological transitions occurring in free surface flow. Its description has many applications, for example, in the chemical industry (emulsions, sprays, etc.), in natural flows driving our climate, and for the sintering of materials. After the reconnection of two drops, strongly localized surface tension forces drive a singular flow, characterized by a connecting liquid bridge that grows according to scaling laws. We review theory, experiment, and simulation of the coalescence of two spherical drops for different parameters and in the presence of an outer fluid. We then generalize to other geometries, such as drops spreading on a substrate and in Hele–Shaw flow, and we discuss other types of mass transport, apart from viscous flow. Our focus is on times immediately after reconnection and on the limit of initially undeformed drops at rest relative to one another. [ABSTRACT FROM AUTHOR]

When flowing through narrow channels or constrictions, many-body systems exhibit various flowing patterns, yet they can also get stuck. In many of these systems, the flowing elements remain as individuals (they do not aggregate or merge), sharing strong analogies among each other. This is the case for systems as contrasting as grains in a silo and pedestrians passing through tight spaces. Interestingly, when these entities flow within a fluid medium, numerous similarities persist. However, the fluid dynamics aspects of such clogging events, such as interstitial flow, liquid pressure, and hydrodynamic interactions, has only recently begun to be explored. In this review, we describe parallels with dry granular clogging and extensively analyze phenomena emerging when particles coexist with fluid in the system. We discuss the influence of diverse flow drive, particle propulsion mechanisms, and particle characteristics, and we conclude with examples from nature. [ABSTRACT FROM AUTHOR]

(1) Background: The RoXstaTM system has been developed as a rapid, effective means of profiling different types of antioxidant activity. The purpose of this study was to examine its performance utilizing a diverse array of biological fluids including semen, blood plasma, serum, urine, saliva, follicular fluid and plant extracts. (2) Methods: The RoXstaTM system was used to assess the ability of different fluids to suppress free radical formation as well as scavenge a variety of toxic oxygen metabolites including free radicals and both hydrogen and organic peroxides. (3) Results: Human semen was shown to have significantly (p < 0.001) more peroxide scavenging power than any other fluid tested (10–14 mM vitamin C equivalent compared with 1–2 mM for blood serum or plasma), while urine was particularly effective in scavenging free radicals and preventing free radical formation (p < 0.001). The powerful antioxidant properties of human semen were shown to reside within the seminal plasma (SP) fraction, rather than the spermatozoa, and to be resistant to snap freezing in liquid nitrogen. Moreover, comparative studies demonstrated that human SP exhibited significantly (p < 0.001) higher levels of antioxidant potential than any other species examined (stallion, bull, dog) and that this intense activity reflected the relative vulnerability of human spermatozoa to peroxide attack. (4) Conclusions: The RoXstaTM system provides valuable information on the antioxidant profile of complex biological fluids, supporting its diagnostic role in conditions associated with oxidative stress. Based on the results secured in this study, human semen is identified as a particularly rich source of antioxidants capable of scavenging both hydrogen and organic peroxides, in keeping with the high susceptibility of human spermatozoa to peroxide-mediated damage. [ABSTRACT FROM AUTHOR]

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Studying the impact of Ferrohydrodynamic interaction on the flow of Casson-Williamson nanofluid present a significant insight into complex fluid behaviour in several fields including aerospace engineering, energy systems, drug delivery, chemical engineering, and various industries. Owing to its usage, current investigation deals with effect of magnetic dipole on the time-based unsteady nanofluid flow of homogeneous and heterogeneous reaction driven by a curved stretching sheet with slip and melting heat boundary conditions. This research predicts the optimal ranges of parameters for achieving higher heat transport performance by studying the Cattaneo-Christov heat flux model and an exponential heat source. The governing equations are converted into dimensionless form by employing suitable similarity transformations. The Galerkin-weighted residual technique is used to numerically solve the resulting non-dimensional equations with the assistance of the MATHEMATICA 11.3 software. The outcome indicates that the thermal buoyancy parameter significantly enhances fluid motion, while the thermal radiation parameter reduces the fluid temperature. This outcome greatly influences the prospective uses of Ferrohydrodynamic interaction in enhancing heat and mass transport in nanofluid cooling systems. [ABSTRACT FROM AUTHOR]

A model system of identical particles interacting via a hard-sphere potential is essential in condensed matter physics; it helps to understand in and out of equilibrium phenomena in complex fluids, such as colloidal dispersions. Yet, most of the fixed time-step algorithms to study the transport properties of those systems have drawbacks due to the mathematical nature of the interparticle potential. Because of this, mapping a hard-sphere potential onto a soft potential has been recently proposed [Báez et al., J. Chem. Phys. 149, 164907 (2018)]. More specifically, using the second virial coefficient criterion, one can set a route to estimate the parameters of the soft potential that accurately reproduces the thermodynamic properties of a monocomponent hard-sphere system. However, real colloidal dispersions are multicomponent or polydisperse, making it important to find an efficient way to extend the potential model for dealing with such kind of many-body systems. In this paper, we report on the extension and applicability of the second virial coefficient criterion to build a description that correctly captures the phenomenology of both multicomponent and polydisperse hard-sphere dispersions. To assess the accuracy of the continuous potentials, we compare the structure of soft polydisperse systems with their hard-core counterpart. We also contrast the structural and thermodynamic properties of soft binary mixtures with those obtained through mean-field approximations and the Ornstein–Zernike equation for the two-component hard-sphere dispersion. [ABSTRACT FROM AUTHOR]

Phase separation, a fundamental phenomenon in both natural and industrial settings, involves the coarsening of domains over time t to reduce interfacial energy. While well-understood for simple viscous liquid mixtures, the physical laws governing coarsening dynamics in complex fluids, such as colloidal suspensions, remain unclear. Here, we investigate colloidal phase separation through particle-based simulations with and without hydrodynamic interactions (HIs). The former incorporates many-body HIs through momentum conservation, while the latter simplifies their effects into a constant friction coefficient on a particle. In cluster-forming phase separation with HIs, the domain size ℓ grows as ℓ ∝ t 1 / 3 , aligning with the Brownian-coagulation mechanism. Without HIs, ℓ ∝ t 1 / 5 , attributed to an improper calculation of cluster thermal diffusion. For network-forming phase separation, ℓ ∝ t 1 / 2 with HIs, while ℓ ∝ t 1 / 3 without HIs. In both cases, network coarsening is governed by the mechanical stress relaxation of the colloid-rich phase, yet with distinct mechanisms: slow solvent permeation through densely packed colloids for the former and free draining for the latter. Our results provide a clear and concise physical picture of colloid-solvent dynamic coupling via momentum conservation, offering valuable insights into the self-organization dynamics of particles like colloids, emulsions, and globular proteins suspended in a fluid.   • Colloidal simulations have advanced our understanding of domain coarsening, but colloid-solvent coupling effects are still unclear. • We characterize domain growth exponents for cluster- and network-type phase separation under deep quench conditions via simulations. • Using scaling analysis, we derive domain growth exponents and elucidate mechanisms, focusing on cluster diffusion and mechanical relaxation. [ABSTRACT FROM AUTHOR]

The velocity data presented demonstrate the complicated flow behavior of nanocrystalline cellulose (NCC) suspensions even when standard rheometry shows only subtle effects. Rheo-nuclear magnetic resonance (NMR) velocimetry with spatial and temporal resolution indicates that NCC suspensions undergo varying flow behavior, which correlates with bulk rheology and includes wall-slip, shear banding, and yielding. Large-velocity fluctuations in a chiral nematic liquid crystal-phase suspension (5% w/v) indicate particle director orientation tumbling and flow. The results provide details of the mesoscale velocity distributions in space and time, which can be used to inform the interpretation of rheology data, as well as processing flow conditions to control NCC suspension microstructure and impact properties of composite and other materials.

In this study, the dissipation and dispersion of shear horizontal (SH) wave in magneto-electro-elastic (MEE) materials overlying an elastic half-space loaded with a complex conductive fluid have been investigated. The complex dispersive relation of SH waves for magnetic short and magnetic open cases has been derived using an exact analytical approach. The derived dispersive relations have been theoretically and graphically validated against previous work. The study explores the impact of geometrical parameters, frequency, conductivity, and permittivity of the complex conductive fluid on the phase velocity and attenuation of SH waves. [ABSTRACT FROM AUTHOR]

Coptis chinensis alkaloids have shown remarkable medical value in recent decades, however, their extraction efficiency is limited by the high cost and poor safety of traditional routes. In this study, a series of bio-based ionic liquids (ILs) were successfully prepared through an ion-exchange reaction using precursors derived from organic acids and alkaloids, which significantly enhanced the extraction of alkaloids from Coptis chinensis. By utilizing techniques of electron microscopy and analog computation, the novel extraction method is shown to be twice as effective as the traditional water extraction method. Furthermore, cellular level experiments verify the antimicrobial, anti-inflammatory and antioxidant properties, and animal experiments indicate that the IL-derived extraction route can boost the healing efficiency of complex wounds by three times. This study not only broadens the application of bio-based ionic liquids in plant extraction, but also delivers a low-cost, simple-to-use biologic agent for skin repair, demonstrating its great potential for application. [ABSTRACT FROM AUTHOR]

Foams improve mobility control in injection operations within geological settings. Nanoparticles, such as iron-oxide, have been shown to enhance the stability of foams when combined with surfactants. In this research, we leverage the magnetic properties of these nanoparticles to detect their presence as a surrogate for monitoring the geologic extent of injected fluids in the subsurface. The feasibility of using these nanoparticles for monitoring purposes stems from their detectability at low concentrations in subsurface environments. We developed two distinct methods to detect the presence of magnetite nanoparticles in complex fluids. To simulate complex subsurface fluids in a laboratory setting, we included various ions and surfactants and investigated their effects on the detection of nanoparticles. To this end, we designed an experimental setup and tested two magnetic detection methods: Induction Heating (IH) and Oscillator Frequency Shift (OFS). The IH method involves applying a high-frequency alternating magnetic field to a solution containing small amounts of magnetic nanoparticles and measuring the temperature response. We built an experimental setup to generate this magnetic field for different samples, with temperature changes recorded by an infrared camera. The results indicate that nanoparticle concentrations linearly affect the solution's temperature rise. However, the presence of ions and surfactants also influences the temperature response. The OFS method measures shifts in the resonance frequency of a circuit caused by changes in magnetic permeability inside a coil. This coil is part of a transistor oscillator circuit that produces a sinusoidal voltage waveform, with the oscillation frequency depending on the coil's inductance. The presence of nanoparticles causes a shift in resonance frequency, which were precisely measured for various samples. The drop in resonance frequency is a linear function of nanoparticle concentration, and both methods detect concentrations as low as 150 mg/L of Fe3O4 nanoparticles. [ABSTRACT FROM AUTHOR]

The use of robots in healthcare holds promise for improving the quality of life. The miniaturization of robots enables them to work in complex liquid environments in narrow areas of human body. Cordless robots have strong mobility and can reach inaccessible areas; so, they are of great significance in precision and personalized medicine fields. Miniature robots can be divided into two categories: one is robots with millimeter to centimeter size, which are slightly larger in size. It can be equipped with control, monitoring, communication, and other functional modules, realizing imaging monitoring, targeted drug delivery, and other functions. The other is robots with nanometer to micrometer size, which are generally driven by external physical fields due to small size. They are mainly used in imaging, diagnosis, surgery, and drug delivery. However, when miniature robots are used in clinical applications, problems such as power, longevity, and security still need to be considered. This article reviews the driving mechanisms and position technology of miniature robots. In addition, possible solutions to the current clinical challenges are proposed, exploring structures and functions required for future development. This article provides a reference for robots and development of precision medicine. [ABSTRACT FROM AUTHOR]

Organic photoelectrochemical transistors (OPECT) have emerged as leading candidates for biosensing technologies, attributed to their high transconductance, zero operating voltage, and excellent biocompatibility. However, the practical application of OPECT in complex biological fluids is usually hindered by challenges such as complex gate structures, undesired contamination, and side reactions. Herein, a contamination‐free OPECT biosensor is proposed based on a nanochannel membrane‐isolated design, effectively preventing the biological matrix from the detection cell. Using adenosine triphosphate (ATP), a biomarker for malignant tumors and Alzheimer's disease for proof‐of‐principle, the metal−organic framework (MOF)‐guarded nanochannel entrance is switch‐on by the strong chelation interaction between ATP and the Zn(II) nodes in MOFs, which allowed sodium thiophosphate substrate to pass through. Benefiting from the confinement effect of nanochannels and frameworks, the encapsulated alkaline phosphatase molecules exhibited high catalytic efficiency for H2S production and subsequent CdS production on gate electrode, thus altering the transistor response. The OPECT device, combined with the nanochannels‐regulated on‐off strategy not only effectively prevented contamination of OPECT from complex biomatrix but also enabled rapid and direct detection of 1.0 nm ATP within 15 min, providing an alternative insight into the design of OPECT device for interference‐free rapid detection in biological matrices. [ABSTRACT FROM AUTHOR]

Twisted grain boundary (TGB) phases exhibit highly frustrated and complex liquid crystal structures, and have attracted enormous interest because of their unique internal structure, textures and properties. However, among the few real concerns related to these interesting structures, applying them to prepare polymer‐stabilized colored liquid crystal films has been challenging. Herein, the organic‐inorganic hybrid silica (OIHS) films with a TGBA* structure were prepared using two organosilanes and one chiral additive under an acidic condition. The structural color of the films can be adjusted by varying the polycondensation temperature and the concentration of the chiral additive. A structurally colored pattern was prepared by the inject printing, which was suitably applied for decoration and anti‐counterfeiting. [ABSTRACT FROM AUTHOR]

In order to improve the variety of multigrain beneficial fermented foods and address the sour flavor and strong seasonality of tiny berries, research was conducted on the best processing method for the quinoa-Lonicera caerulea complex fermentation liquid. Using quinoa and Lonicera caerulea as raw materials, a synergistic fermentation process involving a combination of yeast and lactic acid bacteria was employed. By comparing the superoxide dismutase (SOD) activity and viable bacteria number of the quinoa-Lonicera caerulea complex fermentation solution following fermentation of different strains, the most appropriate fermentation strains were chosen, and the fermentation conditions were improved. SOD activity and γ-aminobutyric acid (GABA) concentration were used as optimization indices to further enhance the fermentation process of the quinoa-Lonicera caerulea complex fermentation solution by combining single component and response surface testing. Results showed that BA, LP, and LA were the best strains for fermentation. During the Saccharomyces fermentation stage, the inoculum amount was 0.30%, the bottling amount was 40 mL/100 mL, and the incubation was carried out in a shaker at 30 °C for 16 h, the SOD activity of quinoa-Lonicera caerulea complex fermentation liquid was measured at (139.740±0.485) U/mL, and the amount of live bacteria was (4.667±0.450) x 106 CFU/mL during the yeast fermentation stage. During the Lactobacillus fermentation stage, the inoculum amount was 2%, with a 1:1 ratio of Lactobacillus plantarum and Lactobacillus acidophilus, and the culture was incubated at 37 °C for 24 hours, the SOD activity of quinoa-Lonicera caerulea complex fermentation solution was (174.000±3.055) U/mL, and the number of live bacteria was (27.250±1.05) x 108 CFU/mL. During the composite fermentation stage, the optimal fermentation conditions for the quinoa-Lonicera caerulea complex fermentation were as follows: Initial pH was 5.0, mixing ratio was 1:3, sugar addition was 10%, fermentation temperature was 37°C, and under these optimal conditions, the SOD activity of quinoa-Lonicera caerulea complex fermentation was (318.245±3.245) U/mL, and the GABA content was (0.647±0.018) mg/g. The resultant quinoa-Lonicera caerulea complex fermentation solution was dark purple in color and rich in both SOD and GABA. It would provide the theoretical framework for creating functional fermented foods using tiny berries and grains as the primary ingredients. [ABSTRACT FROM AUTHOR]