Increased consumption of soymilk driven with amplified health interest and ongoing scientific efforts have incited fascination in the imminent development of plant-based novel formulations. Over the ...time, conventional fermentation has been pertinent to exert preservation effects besides improving the flavor and texture of the soymilk for an adequate acceptability.
With the advent of advanced biotechnological interventions as systematic paradigms, improved starters are being employed to develop functional soymilk. This review integrates contemporary technical information about the imperative developmental benefits imparted by the soymilk consumption via the evolution of lactic acid bacteria from traditional starters to bioactive compounds producing bio-factories.
The novelty of this review is based on our holistic approach in collating the updated information on bioactivities of fermented soymilk in general while placing greater emphasis on the effects of advanced fermentation on soymilk functionality. The latest design to exploit custom-made strains in soymilk fermentation holds a promise which can be profitably implemented to meet consumer needs.
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•Lately, consumption of soy beverages and associated multifaceted health benefits have greatly enlarged.•Until a few years ago, soymilk fermentation was pertinent only for preservation and flavor effects.•Biotechnological interventions employed improved starters to enhance B-vitamins in fermented soymilk.•We emphasize the evolution of LABs from conventional starters to B-vitamin biofactories for soymilk enrichment.•The incorporation of custom-made strains in soymilk holds a promise to profitably meet the consumer needs.
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•Automatic kinetic resolution of thermal runaway from peak overlapping DSC profiles.•Rapid initial parameter estimations with a Gaussian surrogate-assisted database.•Simplified ...dvisional kinetic resolution based on reaction temperature ranges.•Optimal solution selection fusing error-based and information-based criteria.•Algorithm validation with DSC datasets from types of lithium-ion batteries.
Accurate kinetic resolution of thermal runaway (TR) for lithium-ion batteries (LIBs) plays a central role in battery safety design and early warning. However, simultaneous extraction of the number and kinetic parameters of TR reactions from multi-peak overlapping differential scanning calorimetry (DSC) profiles is a complicated nonlinear programming optimization problem. A Gaussian surrogate-assisted separate optimization framework is proposed to address the kinetic resolution problem. First, an offline equivalent kinetic database, based on the geometric similarity of heat flow peaks and Gaussian functions, is designed to provide initial parameter estimations for multiple reactions. Second, an adaptive range division method, based on priori local extrema, is proposed to divide the DSC profile into separate ranges of fitting (ROF) to assist the key mechanism selection. Third, divisional kinetic resolution is performed for each ROF where kinetic models initialized by the above database are utilized to fit sub-range profiles and then potential solutions are searched based on a posteriori error-based criterion. Finally, Bayesian information criterion is utilized for the optimal solution selection among the combinations of potential solutions for multiple ROFs. The proposed framework is validated through experimental data from the DSC tests of types of LIBs. The results illustrate the applicability and efficiency of the proposed framework.
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There is a growing and urgent need for developing novel biomaterials and therapeutic approaches for efficient wound healing. Microneedles (MNs), which can penetrate necrotic tissues ...and biofilm barriers at the wound and deliver active ingredients to the deeper layers in a minimally invasive and painless manner, have stimulated the interests of many researchers in the wound-healing filed. Among various materials, polymeric MNs have received widespread attention due to their abundant material sources, simple and inexpensive manufacturing methods, excellent biocompatibility and adjustable mechanical strength. Meanwhile, due to the unique properties of nanomaterials, the incorporation of nanomaterials can further extend the application range of polymeric MNs to facilitate on-demand drug release and activate specific therapeutic effects in combination with other therapies. In this review, we firstly introduce the current status and challenges of wound healing, and then outline the advantages and classification of MNs. Next, we focus on the manufacturing methods of polymeric MNs and the different raw materials used for their production. Furthermore, we give a summary of polymeric MNs incorporated with several common nanomaterials for chronic wounds healing. Finally, we discuss the several challenges and future prospects of transdermal drug delivery systems using nanomaterials-based polymeric MNs in wound treatment application.
•Summarized the experiment of desalination by graphene-based nanomaterials.•Focus on computer simulation on the desalination by graphene-based nanomaterials.•The gap between the results of experiment ...and simulation were discussed in detail.
Reverse Osmosis (RO) for the desalination of saline water is associated with tremendous energy costs and low efficiency. Biomimetic membranes incorporate biological elements or borrow concepts, ideas or inspiration from biological systems. Such membranes can take advantage of the strategies evolved by nature over billions of years for improving transport efficiency and specificity. Biomimetic membrane based on graphene has achieved great progress on the desalination performance. With the development of nanotechnology and computational science, the computational simulation has been a powerful tool to uncover the atomic details in desalination by graphene based biomimetic nanomaterials. In this mini review, we will summarize the experiment of desalination by graphene-based nanomaterials and focus on computational simulation on the desalination by graphene-based nanomaterials. Especially, the gap between the results of experiment and simulation will be discussed in detail.
A π‐Extended Pentadecabenzo[9]Helicene Shen, Yun‐Jia; Yao, Nai‐Te; Diao, Li‐Na ...
Angewandte Chemie International Edition,
April 3, 2023, 2023-Apr-03, 2023-04-03, 20230403, Volume:
62, Issue:
15
Journal Article
Peer reviewed
A novel chiral nanographene (i.e. EP9H) with a pentadecabenzo9helicene core fragment has been synthesized and fully characterized. Single‐crystal X‐ray diffraction unambiguously confirms the helical ...structure. The fluorescence emission of EP9H is located in the near infrared region (λem=684 nm) with a medium quantum yield (0.10) for helicene derivatives. Cyclic voltammetry reveals its seven quasi‐reversible redox states from −2 to +5. Furthermore, enantiopure EP9H displays distinct CD signals in a broad spectral range from 300 to 700 nm. Notably, compared to the reported small organic molecules, EP9H displays an outstanding |glum| value of 4.50×10−2 and BCPL as 304 M−1 cm−1.
A chiral bilayer nanographene (EP9H) containing a pentadecabenzo9helicene core fragment has been synthesized with an extended π‐system perpendicular to the helical axis of 9helicene. Furthermore, the structure extension induced significant improvements in the fluorescence quantum yield and circularly polarized luminescence, as evident from the large glum and BCPL values.
Dynamic reliability evaluation of large-scale reinforced concrete (RC) structures is one of the most challenging problems in engineering practices. Although extensive endeavors have been devoted to ...mechanical analysis of concrete structures in the past decades, it was recognized that the randomness from both structural parameters and excitations have significant effects on the dynamic behaviors of structures with complex nonlinearity, damage, energy dissipation, and plasticity. Thus, great difficulty exists in evaluating the nonlinear stochastic responses and dynamic reliability of the real-world complex structures of large degrees of freedom. In the present paper, a physically driven method for refined probabilistic response and seismic reliability evaluation of real-world RC structures is proposed via synthesis of the refined mechanical analysis and the physically-based uncertainty propagation. In this method, the material parameters can be treated as probabilistically dependent random variables characterized by vine copulas, and the ground motion is modeled by non-stationary Clough–Penzien spectrum. The uncertainty propagation of arbitrary response quantity(-ies) of interest is governed by the dimension-reduced probability density evolution equation (DR-PDEE). The intrinsic drift coefficients in the DR-PDEE are the physically driven force for the uncertainty propagation and can be identified via data from representative dynamic analyses of the structure. The time-variant reliability of the structures can be captured by solving the physically driven DR-PDEE, which cannot be achieved by the general Monte Carlo simulation (MCS) due to the prohabitively large computational cost. Finally, a practical engineering application is shown in this paper for the probabilistic response and seismic reliability evaluation of a 24-story RC shear wall structure with nearly 280,000 degrees of freedom (DOFs).
•The E. coli was covalently immobilized on nanoparticles with a “click” reaction.•Azides were metabolically integrated onto cell surface for directed immobilization.•The immobilization improved the ...cell’s activity, stability, and reusability.
A method for specific immobilization of whole-cell with covalent bonds was developed through a click reaction between alkyne and azide groups. In this approach, magnetic nanoparticle Fe3O4@SiO2-NH2-alkyne was synthesized with Fe3O4 core preparation, SiO2 coating, and alkyne functionalization on the surface. The azides were successfully integrated onto the cell surface of the recombinant E. coli harboring glycerol dehydrogenase, which was employed as the model cell. The highest immobilization yield of 83% and activity recovery of 94% were obtained under the conditions of 0.67 mg mg−1 cell-support ratio, pH 6.0, temperature 45 °C, and 20 mM Cu2+ concentration. The immobilized cell showed good reusability, which remained over 50% of initial activity after 10 cycles of utilization. Its activity was 9.7-fold higher than that of the free cell at the condition of pH 8.0 and each optimal temperature. Furthermore, the immobilized cell showed significantly higher activity, operational stability, and reusability.
Abstract Protein adsorption and desorption on material surfaces play a key role in the biocompatibility of medical implants, biomineralization and protein separation. In this report, the adsorption ...and desorption behavior of the 10th type III module of fibronectin (FN-III10 ) with different orientations on hydroxyapatite (HAP) (0 0 1) surface were systematically studied by molecular dynamics (MD) and steered MD simulations. These studies show that the electrostatic energy plays a dominant role in the interaction between the model protein and the HAP surface. The values of the interaction energy not only relates to the number of adsorbed sites but also the type. The charged –COO− and –NH3+ are the strongest groups that interact with the surface, while other groups like charged guanido group, neutral amino and hydroxyl groups have considerable interactions with the surface. The effects of these groups on interaction energy were quantitatively investigated.
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•NLRP3 inflammasome related inflammatory signaling pathway plays an promoting role in HCC.•Classical pyroptosis mediated by NLRP3 inflammasome plays an inhibitory role in HCC.•The ...role of the substance targeting NLRP3 inflammasome in HCC depends on the emphasis of the substance on these two mechanisms.
In recent years, the study of NOD-like receptor thermal protein domain associated protein 3 (NLRP3) inflammasome has become a hot topic, especially its role in various tumors. The incidence of hepatocellular carcinoma is ranked in the top five in China. Hepatocellular carcinoma (HCC) is the predominant and typical form of primary liver cancer. Due to the close relationship between NLRP3 inflammasome and cancers, many studies have investigated its role in HCC. The results suggest that NLRP3 inflammasome participates in both tumor growth inhibition and tumor growth promotion in HCC. Therefore, this review elaborates on the relationship between NLRP3 and HCC and explains its role in HCC. In addition, the potential of NLRP3 as a therapeutic target for cancer therapy is explored, summarizing and classifying impacts of and processes underlying different NLRP3 inflammasome-targeting drugs on HCC.
