Emulsification properties of heated whey protein-pectin formed at neutral pH

Interactions between protein and polysaccharides could lead to improved protein functional properties including emulsification properties. Most studies focus on complex coacervates which are formed at pH pI, especially when the mixtures are heated. The objective of this study was to investigate the emulsification properties of heated whey protein isolate (WPI) and pectin complexes formed at near neutral pH. ... This study demonstrates that heat complexation of whey protein with pectin at near neutral pH could improve emulsification properties at pH near pI of the protein. Heated WPI-pectin complexes could be utilized as emulsifier and stabilizer in food applications.Includes bibliographical reference

Photonic Floquet skin-topological effect

Non-Hermitian skin effect and photonic topological edge states are of great interest in non-Hermitian physics and optics. However, the interplay between them is largly unexplored. Here, we propose and demonstrate experimentally the non-Hermitian skin effect that constructed from the nonreciprocal flow of Floquet topological edge states, which can be dubbed 'Floquet skin-topological effect'. We first show the non-Hermitian skin effect can be induced by pure loss when the one-dimensional (1D) system is periodically driven. Next, based on a two-dimensional (2D) Floquet topological photonic lattice with structured loss, we investigate the interaction between the non-Hermiticity and the topological edge states. We observe that all the one-way edge states are imposed onto specific corners, featuring both the non-Hermitian skin effect and topological edge states. Furthermore, a topological switch for the skin-topological effect is presented by utilizing the gap-closing mechanism. Our experiment paves the way of realizing non-Hermitian topological effects in nonlinear and quantum regimes

Progress on the Tasting Mechanism and Computer Aided Analysis of Food Taste-Modulating Peptides

Food taste-modulating peptides mainly interact with salt taste receptor ENaC, TRPV1 or TMC4, umami receptor T1R1/T1R3, sweet receptor T1R2/T1R3, bitter receptor T2R and kokumi receptor CaSR to induce PLCβ2/IP3 or cAMP/PKA pathway to achieve taste transduction. Computer aided analysis techniques such as molecular docking, dynamic simulation, virtual screening and deep learning can efficiently, accurately and widely identify and develop novel taste-modulating peptides, which can effectively promote the high-quality development of nutrition and health food industry. This paper aims to present the latest research progress in the field of taste-modulating peptides, including the human taste perception mechanism, the taste mechanism of food taste-modulating peptides, as well as computer aided analysis techniques. This provides ideas for cost reduction, efficiency enhancement, and subsequent in-depth research in the era of Big Compute and development of new taste-modulating peptide products in the field of food taste-modulating peptides development

The diploid genome sequence of an Asian individual

Here we present the first diploid genome sequence of an Asian individual. The genome was sequenced to 36-fold average coverage using massively parallel sequencing technology. We aligned the short reads onto the NCBI human reference genome to 99.97% coverage, and guided by the reference genome, we used uniquely mapped reads to assemble a high-quality consensus sequence for 92% of the Asian individual's genome. We identified approximately 3 million single-nucleotide polymorphisms (SNPs) inside this region, of which 13.6% were not in the dbSNP database. Genotyping analysis showed that SNP identification had high accuracy and consistency, indicating the high sequence quality of this assembly. We also carried out heterozygote phasing and haplotype prediction against HapMap CHB and JPT haplotypes (Chinese and Japanese, respectively), sequence comparison with the two available individual genomes (J. D. Watson and J. C. Venter), and structural variation identification. These variations were considered for their potential biological impact. Our sequence data and analyses demonstrate the potential usefulness of next-generation sequencing technologies for personal genomics

The Influence of pH on the Emulsification Properties of Heated Whey Protein–Pectin Complexes

Interactions between proteins and polysaccharides could improve protein functional properties. Most studies focus on the formation of complex coacervates at pHs pI, especially when the mixtures are heated. The objective of this study was to investigate the emulsification properties of heated whey protein isolate (WPI) and pectin complexes formed at near neutral pHs. Heated soluble complexes (Cpxs) were formed by heating mixed WPI (3 wt% protein) and pectin (0 to 0.60 wt%) at pH 6.0, 6.5, or 7.0 at 85 °C for 30 min. Emulsions (5 wt% oil, 0.5 wt% protein, and pH 5.5) were characterized by measuring droplet size, zeta potential, rheological properties, and creaming stability. The results showed that, regardless of heating pH, Cpxs formed more stable emulsions with significantly smaller droplet sizes, higher negative charges, and less shear-thinning behavior in comparison to emulsions stabilized by heated WPI (p < 0.05). At fixed pectin concentrations, the emulsions stabilized by Cpx formed at pH 7.0 were the most stable. Increasing pectin concentrations led to a decrease in mean droplet sizes and an increase in negative charge. Maximum stability was achieved with the emulsion stabilized by Cpx formed with 0.60 wt% pectin at pH 7.0. The formation of Cpxs under proper conditions will allow for the utilization of WPI in a wider range of applications and fulfill the consumer need for clean label food products

Research on Power Data and Transmission Service Based on Satellite Resource Scheduling Algorithm

Significant improvement has been made in communication capability with the development of satellite communication technology, which plays a vital role in the application of power coefficient collection and transmission. The technological development of power Internet of Things contributes to the satellite resource optimization scheduling algorithm so that the requirements for satellite data of different subscribers and different priorities can be met to the maximum extent in a short period of time. Given this background, this paper proposed an optimized satellite resource scheduling algorithm that integrated family eugenics with simulated annealing

Research on Blockchain-Based Power Data Storage Scheme

Blockchain technology was invented for bitcoin. It serves as a new computing paradigm with a decentralized framework. For its characteristics such as decentralization, tamper-proofing, and traceability, this technology has been widely used in various industry sectors. Currently, the power industry, as China's basic energy industry, is closely linked to national economic development. In the power industry, power data storage and dispatching are of paramount importance. However, there are some security problems with traditional storage methods. Given this, this paper proposed a blockchain-based power data storage scheme, to enhance the security of power data storage

Compressed sensing MRI with singular value decomposition-based sparsity basis

Compressed sensing MRI (CS-MRI) aims to significantly reduce the measurements required for image reconstruction in order to accelerate the overall imaging speed. The sparsity of the MR images in transformation bases is one of the fundamental criteria for CS-MRI performance. Sparser representations can require fewer samples necessary for a successful reconstruction or achieve better reconstruction quality with a given number of samples. Generally, there are two kinds of 'sparsifying' transforms: predefined transforms and data-adaptive transforms. The predefined transforms, such as the discrete cosine transform, discrete wavelet transform and identity transform have usually been used to provide sufficiently sparse representations for limited types of MR images, in view of their isolation to the object images. In this paper, we present singular value decomposition (SVD) as the data-adaptive 'sparsity' basis, which can sparsify a broader range of MR images and perform effective image reconstruction. The performance of this method was evaluated for MR images with varying content (for example, brain images, angiograms, etc), in terms of image quality, reconstruction time, sparsity and data fidelity. Comparison with other commonly used sparsifying transforms shows that the proposed method can significantly accelerate the reconstruction process and still achieve better image quality, providing a simple and effective alternative solution in the CS-MRI framework

Comparison and analysis of nonlinear algorithms for compressed sensing in MRI

Compressed sensing (CS) theory has been recently applied in Magnetic Resonance Imaging (MRI) to accelerate the overall imaging process. In the CS implementation, various algorithms have been used to solve the nonlinear equation system for better image quality and reconstruction speed. However, there are no explicit criteria for an optimal CS algorithm selection in the practical MRI application. A systematic and comparative study of those commonly used algorithms is therefore essential for the implementation of CS in MRI. In this work, three typical algorithms, namely, the Gradient Projection For Sparse Reconstruction (GPSR) algorithm, Interior-point algorithm (l-ls), and the Stagewise Orthogonal Matching Pursuit (StOMP) algorithm are compared and investigated in three different imaging scenarios, brain, angiogram and phantom imaging. The algorithms' performances are characterized in terms of image quality and reconstruction speed. The theoretical results show that the performance of the CS algorithms is case sensitive; overall, the StOMP algorithm offers the best solution in imaging quality, while the GPSR algorithm is the most efficient one among the three methods. In the next step, the algorithm performances and characteristics will be experimentally explored. It is hoped that this research will further support the applications of CS in MRI