Vanillin strengthened complex coacervation behavior between gelatin and sodium carboxymethyl cellulose endowed improved mechanical properties of microcapsules.

The inherent heterogeneous structure of biomass molecules usually makes the formed interfacial film prone to defects such as core material mass transfer loss, while chemical modification may be an effective means to improve the performance of biobased interfacial films. In this study, gelatin‑sodium carboxymethyl cellulose (CMC-Na) complex coacervation microcapsules were used as models and the typical aroma molecule vanillin as modifier to explore the differences in mechanical properties and other physicochemical properties of microcapsules before and after modification, as well as the potential mechanism of the differences. Results showed that the aldehyde group of vanillin formed covalent imine bond with the amino group on gelatin protein through Schiff base reaction, and the hydroxyl group on the benzene ring of vanillin formed hydrogen bonds with CMC-Na and gelatin simultaneously; these two effects were synergistically enhanced cross-linking between wall materials, thereby strengthening the mechanical properties of the microcapsules.

Analysis of dominant microorganisms and core enzymes in Qingke Baijiu Daqu by high-throughput sequencing and proteomics.

Daqu plays a crucial role in Qingke Baijiu production by providing essential raw materials, microorganisms, and enzymes for fermentation. In order to further investigate the impact of microorganisms and enzymes in Qingke Baijiu Daqu, the physicochemical properties, dominant microorganisms, as well as enzyme system composition of Qingke Baijiu Daqu were studied. The results revealed 8 dominant bacterial genera and 4 dominant fungal genera in Daqu.

Specific glycomacropeptide detection via polyacrylamide gel electrophoresis with dual imaging and signal-fusion deep learning.

Herein, we report a sodium dodecyl-sulfate polyacrylamide gel electrophoresis (SDS-PAGE) method featuring dual imaging and signal-fusion deep learning for specific identification and analysis of glycomacropeptide (GMP) in milk sample. Conventional SDS-PAGE methods lack specificity because of the signle staining of protein bands, and the overlap between GMP and β-lactoglobulin (βLg). Our dual imaging method generated a pair of complementary detection signals by recruiting intrinsic fluorescence imaging (IFI) and silver staining.

Enhanced long-term antioxidant ability of Ellagic acid and Litsea Cubeba essential oil dual-stabilized by heat and ultrasonic-treated soy protein isolate.

Delivering hydrophobic bioactive compounds remains a challenge, particularly in co-delivery of multiple immiscible compounds. Limited research has explored co-encapsulating hydrophobic actives using macromolecules. In this study, ellagic acid as a solid hydrophobic substance and Litsea Cubeba essential oil as an oily hydrophobic component were successfully loaded using heat- and ultrasonic- treated soy protein as a carrier.

Unlocking novel biopeptides hidden in Camellia seed cake fermented by Bacillus subtilis through in silico and cellular model approaches.

In this study, Bacillus subtilis was used to ferment the CSC and produce hydrolysates (CSCH), from which novel bioactive peptides were identified. The ultrafiltration fraction of CSCH under 3 kDa (CSCH-3) revealed the most efficient in vitro antioxidant and anti-tyrosinase activity. The peptide profile of CSCH-3 was further characterized using LC-MS/MS, and novel biopeptides were screened through in silico analysis and molecular docking methods.

Voltammetry of monovalent cations at the 2D/3D water interface formed by using a slit-like graphene-membrane nanofluidic device.

Herein, we demonstrate that two-dimensional (2D) graphene-nanoconfined water in a slit-like graphene-membrane nanofluidic device can form a 2D/3D water interface with a 3D bulk aqueous phase and a preference for protons over other monovalent cations for transfer across such a novel 2D/3D water interface. This provides a new approach to studying 2D graphene-nanoconfined water.

Repackaging and Performance Analysis of Implantable Pressure Sensor.

In recent years, repackaging technology has been widely used in miniaturized implantable pressure sensors. However, the current packaging structure still has significant problems regarding biocompatibility, environmental adaptability, and measurement accuracy, which greatly limits its application in vivo measurement systems. In this paper, we report a method for implantable pressure sensor repackaging based on silicone oil, polydimethylsiloxane (PDMS) film, and polymer (parylene) coating.

The U-Shape Association Between Noise and Individual Depression: Nationwide Longitudinal Evidence from Three Waves of CHARLS.

Depression is a common mental disorder formed by a combination of various factors. Existing researches have already demonstrated that noise indeed impacts the level of depression, but their results were inconsistent. To reconcile seemingly contradictory findings, this study aims to investigate how noise affects individual depression using big data mining and analysis techniques.

Ligand-Targeted Ag Cluster Self-Cascade Antioxidants for Enhanced Reactive Oxygen Species Clearance in the Treatment of Inflammatory Bowel Disease.

Atomically precise metal nanoclusters (MNCs) with flexible peripheral ligands provide selective channels and unique electronic structures to the rigid metal core, showing great application potential in many fields such as biomimetic nanozymes. In this study, we developed cost-effective, low-toxicity, and water-soluble MNC based self-cascade antioxidants for enhanced reactive oxygen species clearance. Compared to Ag nanoparticles, the Ag NCs with a monovalent Ag core coordinated by nonmetallic S and O show superior superoxide dismutase-like (inhibition 86.

Strain-Insensitive Supercapacitors for Self-Powered Sensing Textiles.

Yarn-based supercapacitors and sensors can be easily integrated into textiles to form flexible and lightweight self-powered wearable electronic devices, which enable stable and continuous signal detection without an external power source. However, most current supercapacitors for self-powered systems lack the stretchability to adapt to complex human body deformations, which restricts their application as a stable wearable power source. This study presents a high-performance strain-insensitive yarn supercapacitor via prestretching polymerization strategy, which can be integrated into self-powered wearable sensing textiles.

Three-dimensional hollow ZnS/MXene heterostructures with stable Ti-O-Zn bonding for enhanced lithium-ion storage.

An effective way to improve the cycling performance of metal sulfide materials is to blend them with conductive materials. In this paper, three-dimensional (3D) hollow MXene/ZnS heterostructures (ZnSMX) were prepared a two-step process involving hydrothermal and template methodologies. The formation of Ti-O-Zn bonds enables the firm bonding between ZnS nanoparticles and the MXene substrate at heterogeneous interfaces, which can act as "electron bridges" to facilitate electron and charge transfer.

Correction of Non-Uniform Rotational Distortion in the Proximally Controlled Endoscopic OCTA.

Endoscopic Optical Coherence Tomography (OCT) can provide high-resolution cross-sectional images for internal organ tissues. Combining the endoscopic imaging with Optical Coherence Tomography Angiography (OCTA), information of blood vessels in superficial lumen tissues is expected to be acquired. However, in endoscopic OCT systems using proximal scanning probes, performance of OCTA encounters significant challenges due to non-uniform rotational distortion (NURD) caused by the non-constant rotation of the distal imaging unit.

Picofluidic Electro-Osmosis Measurement of Cell Membrane Mechanical Properties.

Cells connect with their internal and external environments through plasma membranes, and the mechanical properties of cell membranes govern numerous biological events. Membrane detection techniques such as optical or magnetic tweezers have revealed mechanical strength by membrane-anchored modifications, but it remains challenging to develop label-free methods to reduce the influence of exogenous interference. Here picofluidic electro-osmosis measurement (PEOM), which enables direct and efficient sensing of cell membrane mechanical properties by using a glass nanopipette without labeling, is presented.

Reviewing the Mechanisms of the Interaction of Characteristic Aroma Compounds of Longjing Tea with S-curve, Molecular Docking, and Molecular Dynamics Simulation: With a Focus on (+)-(1,2)-Methyl Epijasmonate and β-Ionone as Examples.

The -curve method, molecular docking, and molecular dynamics simulation (MDS) were used to explore the interaction between the aroma compounds of Longjing tea and receptors. The ratio of experimental and theoretical threshold () values for (+)-(1,2)-methyl epijasmonate and β-ionone was 0.46, indicating a synergistic effect between them.

A novel arc detection and identification method in pantograph-catenary system based on deep learning.

Arc detection is crucial for ensuring the safe operation of power systems, where timely and accurate detection of arcs can prevent potential hazards such as fires, equipment damage, or system failures. Traditional arc detection methods, while functional, often suffer from low detection accuracy and high computational complexity, especially in complex operational environments. This limitation is particularly problematic in real-time monitoring and the efficient operation of power systems.

Discovery of Severe Acute Respiratory Syndrome Coronavirus 2 Main Protease Inhibitors through Rational Design of Novel Fluorinated 1,3,4-oxadiazole Amide Derivatives: An In-Silico Study.

As severe acute respiratory syndrome coronavirus 2 (SARS‑CoV‑2) variants continue to emerge, there is an urgent need to develop more effective antiviral drugs capable of combating the COVID-19 pandemic. The main protease (M) of SARS-CoV-2 is an evolutionarily conserved drug discovery target. The present study mainly focused on chemoinformatics computational methods to investigate the efficacy of our newly designed trifluoromethyl-1,3,4-oxadiazole amide derivatives as SARS-CoV-2 M inhibitors.

The Effects of Disinfection Byproduct 2,6-Dichloro-1,4-benzoquinone on the Cyanobacterium : From the Perspectives of Biochemistry and Non-Targeted Metabolomics.

2,6-Dichloro-1,4-benzoquinone (2,6-DCBQ) is an emerging chlorinated disinfection byproduct (DBP) in bodies of water. However, this compound poses an unknown toxic effect on cyanobacteria. In this study, the toxicological mechanisms of 2,6-DCBQ in () were investigated through physiological and nontargeted metabolomic assessments.

Activation of ClO by Nanoscale Zero-Valent Iron for Efficient Soil Polycyclic Aromatic Hydrocarbon Degradation: New Insight into the Relative Contribution of Fe(IV) and Hydroxyl Radicals.

Recently, the activation of chlorine dioxide (ClO) by metal(oxide) for soil remediation has gained notable attention. However, the related activation mechanisms are still not clear. Herein, the variation of iron species and ClO, the generated reactive oxygen species, and the toxicity of the degradation intermediates were explored and evaluated with nanoscale zero-valent iron (nFe) being employed to activate ClO for soil polycyclic aromatic hydrocarbon (PAH) removal.

Green Synthesis of Copper Nanoparticles from the Aqueous Extract of Thunb and Evaluation of Its Catalytic Property and Cytotoxicity and Antimicrobial Activity.

In this study, copper nanoparticles with an average particle size of 2-4 nm were synthesized using the green extract of Thunb. The catalytic activity and dye degradation efficiency of Cu NPs were evaluated using ultraviolet spectroscopy. To confirm that Cu NPs can continuously remove organic dyes, this study used Cu/Lj-C composite material adsorbed on cotton balls as a simulated bed to study the cyclic catalytic activity of Cu NPs for the reduction of methylene blue by sodium borohydride (NaBH).

Dual-Stage Stacking Machine Learning Method Considering Virtual Sample Generation for the Prediction of ZIF-8' BET Specific Surface Area with Experimental Validation.

The widespread application of metal-organic frameworks (MOFs) in wastewater and gas treatment has created an increasing demand for accurate and rapid assessment of their BET specific surface area. However, experimental methods for acquiring sufficient statistical data are often costly and time-consuming. Therefore, this study proposes a dual-stage stacking model with Gaussian mixture model-virtual sample generation (GMM-VSG) technology for the BET specific surface area prediction.

Mechanistic Insights into the interaction between aldehyde aroma compounds and β-Casein through Multi-Spectroscopy and molecular dynamics.

The interaction between proteins and aroma compounds significantly impacts cheese flavor retention during processing. However, it is still unknown how cheese proteins and the aldehyde aroma compounds (AACs) interact. This study aims to clarify the interaction mechanisms between the AACs (benzaldehyde, 2-methylpropanal, 2-methylbutanal and 3-methylbutanal) and β-casein (β-CN) using SPME-GC/MS, multi-spectroscopy techniques, and molecular dynamics simulations.

Characterization of perceptual interactions among aroma compounds found in Rose damascena and Angelica dahurica root essential oil with threshold, S-curve, σ-τ plot and molecular docking.

The study investigated the perceptual interaction between two types of Rose damascena essential oil and two types of Angelica dahurica root essential oil. Using gas chromatography-olfactometer (GC-O) and gas chromatography-mass spectrometer (GC-MS), 24 and 25 aromatic compounds in Rose damascena essential oil and Angelica dahurica root essential oil were identified and quantified, respectively. Based on flavor dilution (FD) values and odor activity values (OAVs), 10 important aroma compounds in Rose damascena essential oil and 6 in Angelica dahurica root essential oil were identified.

Surface Engineering of 2D Metal-Porphyrin Metal-Organic Frameworks Z-Scheme Heterostructure for Boosting and Stable Photocatalytic Hydrogen Evolution.

How to improve the stability and activity of metal-organic frameworks is an attractive but challenging task in energy conversion and pollutant degradation of metal-organic framework materials. In this paper, a facile method is developed by fabricating titanium dioxide nanoparticles (TiO NPs) layer on 2D copper tetracarboxylphenyl-metalloporphyrin metal-organic frameworks with zinc ions as the linkers (ZnTCuMT-X, "Zn" represented zinc ions as the linkers, the first "T" represented tetracarboxylphenyl-metalloporphyrin (TCPP), "Cu" represented the Cu coordinated into the porphyrin macrocycle, "M" represented metal-organic frameworks, the second "T" represented TiO NPs layer, and "X" represented the added volume of n-tetrabutyl titanate (X = 100, 200, 300 or 400)). It is found that the optimized ZnTCuMT-200 showed greatly and stably enhanced H generation, which is ≈28.

Spatial variation of population, density, and composition of mosquitoes in mainland China.

Mosquitoes pose a significant threat to global health, impacting over 40% of the world's population. Currently, a dearth of large-scale and long-term data on mosquito populations in China hinders related research and public health endeavors. In response, we meticulously compiled and analyzed existing studies to construct a comprehensive dataset illustrating the spatial variation of mosquito populations, density, and composition across mainland China.

Effects of Far-Red Light and Ultraviolet Light-A on Growth, Photosynthesis, Transcriptome, and Metabolome of Mint ( Briq.).

To investigate the effects of different light qualities on the growth, photosynthesis, transcriptome, and metabolome of mint, three treatments were designed: (1) 7R3B (70% red light and 30% blue light, CK); (2) 7R3B+ far-red light (FR); (3) 7R3B+ ultraviolet light A (UVA). The results showed that supplemental FR significantly promoted the growth and photosynthesis of mint, as evidenced by the increase in plant height, plant width, biomass, effective quantum yield of PSII photochemistry (F'/F'), maximal quantum yield of PSII (F/F), and performance index (PI). UVA and CK exhibited minimal differences.