Publications by authors named "Zhu Xiangwei"

The use of oil-in-water (O/W) emulsion has drawn increasing attention in the baking industry. Compared with some of the well-recognized functionalities, such as textural improvers and flavor carriers, its cryoprotective behavior in frozen dough has not been extensively investigated. Herein, this study reported a pea-protein (PP)-stabilized O/W emulsion with good freeze-thaw stability and evaluated its effectiveness as a high-performance dough cryoprotectant.

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  • - The low-frequency magnetoelectric (ME) antenna shows promise for improving underground communication, particularly for the Underground Internet of Things (UIoT), but soil moisture significantly affects its performance.
  • - This paper introduces a compact LF ME antenna using a Terfenol-D/PZT/Terfenol-D layered structure that can detect soil moisture variations without relocating the sensor node, enabling efficient underground communication.
  • - The antenna is designed to operate continuously at low power (152 mW) and demonstrates potential for adaptive wireless communication in soil moisture monitoring, suggesting new solutions for UIoT applications.
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  • - High-temperature sterilization (120 °C) for ready-to-eat surimi products can damage myofibrillar proteins, leading to weaker gelling properties.
  • - A new strategy combining carrageenan (CG) with wheat gluten significantly improved the mechanical strength of protein gels, boosting their performance to four times stronger than untreated gels.
  • - Different types of carrageenan resulted in varying gel strengths and moisture stabilization, offering insights into enhancing the quality of ready-to-eat meat products.
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In this study, we designed and synthesized two NFREAs, 2BTh-3F and 2BTh-CN, incorporating distinct substituents to modulate their electron-withdrawing properties. We meticulously explore the distinct impacts of these substituents on NFREA performance. Our investigation revealed that the introduction of 3,5-difluoro-4-cyanophenyl in 2BTh-CN significantly enhanced electron withdrawal and intramolecular charge transfer, leading to a red-shifted absorption spectrum and optimized energy levels.

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Marine biotoxins (MBs), harmful metabolites of marine organisms, pose a significant threat to marine ecosystems and human health due to their diverse composition and widespread occurrence. Consequently, rapid and efficient detection technology is crucial for maintaining marine ecosystem and human health. In recent years, rapid detection technology has garnered considerable attention for its pivotal role in identifying MBs, with advancements in sensitivity, specificity, and accuracy.

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Ultrasound-assisted freezing (UAF) is a clean technique for meat cryoprotections; however, its effectiveness is still limited compared to conventional cryoprotectants, e.g., sugars, polyols, especially at high dosages.

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Quantum random number generator (QRNG) utilizes the intrinsic randomness of quantum systems to generate completely unpredictable and genuine random numbers, finding wide applications across many fields. QRNGs relying on the phase noise of a laser have attracted considerable attention due to their straightforward system architecture and high random number generation rates. However, traditional phase noise QRNGs suffer from a 50% loss of quantum entropy during the randomness extraction process.

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Poor tenderness of camel meat has seriously hampered the development of the camel meat industry. This study investigated the effects of muscle fiber composition and ageing time on meat quality, glycolytic potential, and glycolysis-related enzyme activities. Muscle samples of the longissimus thoracis (LT), psoas major (PM), and semitendinosus (ST) were collected from eight 8-10 year old Sonid s (females).

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  • - Albendazole (ABZ) is commonly used to treat parasitic infections in animals, but its overuse can lead to harmful drug residues in food and resistance, posing risks to human health.
  • - A new dual-emission europium fluorescent sensor (EuUHC-30) has been developed to detect ABZ and its toxic metabolite, albendazole sulfoxide (ABZSO), with high sensitivity and low detection limits.
  • - This sensor can be used to quantify ABZ and ABZSO in animal-derived food such as milk and pig kidney and includes a smartphone-assisted feature for practical application, offering a quick and effective detection method.
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  • The rising global population and environmental concerns are driving demand for nutritious, sustainably labeled food, making plant proteins more popular than animal proteins.
  • Pulses like peas, beans, and lentils are becoming key sources of plant protein due to their nutritional benefits, despite challenges in understanding their protein characteristics and diversity.
  • This review highlights the importance of understanding the composition and properties of pulse proteins, alongside advanced modification techniques, to enhance their functionality in clean-label food products.
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The use of frozen dough is an intensive food-processing practice that contributes to the development of chain operations in the bakery industry. However, the fermentation activity of yeasts in frozen dough can be severely damaged by freeze-thaw stress, thereby degrading the final bread quality. In this study, chickpea protein hydrolysate significantly improved the quality of steamed bread made from frozen dough while enhancing the yeast survival rate and maintaining yeast cell structural integrity under freeze-thaw stress.

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Background: Interface modification driven by supramolecular self-assembly has been accepted as a valuable strategy for emulsion stabilization enhancement. However, there has been a dearth of comparative research on the effect of simple complexation and assembly from the perspective of the responsible mechanism.

Results: The present study selected zein and tannic acid (TA) as representative protein and polyphenol modules for self-assembly (coined as TA-modified zein particle and TA-zein complex particle) to explore the surface properties and interfacial behavior, as well as the stability of constructed Pickering emulsions to obtain the regulation law of different modification methods on the interfacial behavior of colloidal particles.

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  • The text highlights the growing global concern over food safety due to frequent food safety incidents and the development of advanced analytical methods to ensure quality.
  • Raman spectroscopy is emphasized as a prominent technique for food analysis due to its quick, sensitive, and nondestructive nature.
  • The review covers the evolution of various Raman techniques, their principles and applications, while also discussing future challenges and trends in relation to food safety.
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Chickpea protein (CP) and its enzymatic hydrolysates are one of the most widely consumed pulse ingredients manifesting versatile applications in food industry, such as binders, emulsifiers, and meat protein substitutes. Other than those well-known functionalities, however, the use of CP as a cryoprotectant remained unexplored. In this study, we prepared the chickpea protein hydrolysate (CPH) and investigated its cryoprotective effects to frozen surimi in terms of the protein structure integrity and gelling behaviors.

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Predicting solubility of small molecules is a very difficult undertaking due to the lack of reliable and consistent experimental solubility data. It is well known that for a molecule in a crystal lattice to be dissolved, it must, first, dissociate from the lattice and then, second, be solvated. The melting point of a compound is proportional to the lattice energy, and the octanol-water partition coefficient (log ) is a measure of the compound's solvation efficiency.

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The usage of tea polyphenols (TPs) as a natural food additive into non-fermented frozen dough (NFFD) has rarely been investigated, and results have been controversial. Hence, this study investigated the effect of TPs at various levels (0, 0.5, 1, and 2%) on the quality of NFFD stored from 0 to 4 weeks.

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With the development of microelectronic technology, the integration of electronic systems is increasing continuously. Electronic systems are becoming more and more sensitive to external electromagnetic environments. Therefore, to improve the robustness of radio frequency (RF) microwave circuits, it is crucial to study the reliability of semiconductor devices.

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Chickpea protein (CP) is an exceptional nutrient-dense pulse protein prevailing in the development of plant-based foods. However, its relatively low solubility, compared to other legume proteins, hinders the practical uses of CP in food matrix. To resolve this problem, pea protein (PP), another popular pulse protein, was co-assembled with CP to form a binary complex during the alkaline pH-shifting process.

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In this paper, time-frequency transfer and positioning experiments with signal coexistence in the BDS system were conducted using the four types of open service signals of the BDS-3 satellite (B1I, B1C, B2a, and B3I), as well as the B2I signals broadcast by the BDS-2 satellites. The experiments used the single-frequency PPP (precise point positioning) method. The experiment validated a modified version of the group and phase ionospheric correction (GRAPHIC) technique.

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Transformers have achieved great success in many artificial intelligence fields, such as computer vision (CV), audio processing and natural language processing (NLP). In speech emotion recognition (SER), transformer-based architectures usually compute attention in a token-by-token (frame-by-frame) manner, but this approach lacks adequate capacity to capture local emotion information and is easily affected by noise. This paper proposes a novel SER architecture, referred to as block and token self-attention (BAT), that splits a mixed spectrogram into blocks and computes self-attention by combining these blocks with tokens, which can alleviate the effect of local noise while capturing authentic sentiment expressions.

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Carboxymethyl chitosan (CMCh) is an ampholytic chitosan derivative that manifests versatile applications in food industry, such as antibacterial ingredients and nutritional additives. However, its use as a cryoprotectant remains under-researched. In this study, the cryoprotective effect of CMCh oligosaccharide (CMCO) on frozen surimi (silver carp) was systematically investigated in terms of protein structures, gelling behaviors, and sensory qualities.

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Carboxymethyl chitosan (CMCh), an ampholetic chitosan derivative, has found broad applications in the food industry. However, its cryo-protective properties remained less explored compared to other viscous polysaccharides, such as carboxymethyl cellulose, carrageenan etc., which have been widely utilized as frozen food additives.

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In all-small-molecule organic solar cells (ASM-OSCs), a high short-circuit current (J ) usually needs a small phase separation, while a high fill factor (FF) is generally realized in a highly ordered packing system. However, small domain and ordered packing always conflicted each other in ASM-OSCs, leading to a mutually restricted J and FF. In this study, alleviation of the previous dilemma by the strategy of obtaining simultaneous good miscibility and ordered packing through modulating homo- and heteromolecular interactions is proposed.

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As the power conversion efficiencies of organic solar cells (OSCs) have been improved continuously in recent years, more attention will be paid to the industrial production and practical application of OSCs. However, there are still many problems to be solved in the process of large-scale production. Among them, reducing the costs of the materials and enhancing the film-thickness tolerance of the active layer are the two key points.

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Massively multitask bioactivity models that transfer learning between thousands of assays have been shown to work dramatically better than separate models trained on each individual assay. In particular, the applicability domain for a given model can expand from compounds similar to those tested in that specific assay to those tested across the full complement of contributing assays. If many large companies would share their assay data and train models on the superset, predictions should be better than what each company can do alone.

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