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Quality difference Analysis Among Soy Whey Produced by different Processing Methods

FLAVOUr ANd FrAGrANCE JOUrNAL 2025年

作者： Yang, Minhui Zhu, danshi Zhang, Xuan Huo, dafei Liu, Jun Zhou, dayu Liu, He Bohai Univ Coll Food Sci & Technol Natl & Local Joint Engn Res Ctr Storage Jinzhou Peoples R China Liaoning Douhua Tianbao Food Technol Co Ltd Shenyang Peoples R China Shandong Yuwang Ecog Food Ind Co Ltd Yucheng Peoples R China

The objective of this study was to analyse the difference in sensory flavour and volatile compounds among the three processing methods of soy whey, as well as to establish an evaluation model representing the correlation between sensory flavour and volatile compounds. The results showed that the soy whey produced by the boiling-to-filtering method (BFM) exhibited a higher total soluble solid (TSS) content and total flavonoid content (TFC) compared to that of the repeated boiling-to-filtering method (rBFM) and the filtering-to-boiling method (FBM), while rBFM soy whey showed a higher total protein content (TPC). The sensory analysis showed that the FBM soy whey exhibited an intense beany flavour and grease odour. The SPME/GC-MS results showed that FBM soy whey exhibited more categories and higher contents of flavour compounds, particularly for alcohols and aldehydes. 1-Octen-3-ol, n-hexanol, hexanal and nonanal were the main volatile compounds influencing soy whey with different processing methods. The evaluation model revealed that the beany flavour was close to FBM soy whey and highly correlated with 1-octen-3-ol, n-hexanol, hexanal, heptanal and 2-ethyl furan. (E, E)-2,4-Heptadienal, (E, E)-2,4-nonadienal and octanal were close to FBM and highly correlated with grease and bean fragrance. decanal, ethyl caproate and ethyl caprylate were highly correlated with the floral aroma and close to FBM soy whey. Sweet and fruity aromas were associated with rBFM soy whey and highly correlated with 3-methyl butanal, (E)-2-nonenal and nonanal. The milk aroma was close to BFM soy whey and highly correlated with 2-ethylfuran, decanal, ethyl caprylate and ethyl caproate. Overall, rBFM and BFM soy whey contained higher levels of protein and flavonoids and exhibited less beany flavour, potentially offering greater nutritional value. In contrast, the FBM soy whey exhibited a higher content of volatile flavour compounds, especially 1-octen-3-ol, n-hexanol, hexanal and 2-ethyl furan.

关键词： OPLS-dA quantitative descriptive analysis sensory flavour soy whey volatile compounds

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Preparation of Novel double Cross-Linked Hydrogels of dietary Fibers and Proteins from Soybeans as Scaffolds for Cultured Meat

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FOOd ANd BIOPrOCESS TECHNOLOGY 2025年第2期18卷 1601-1613页

作者： Fang, Huicheng Yu, Wei Gao, Boyan Niu, Yuge Yu, Liangli Shanghai Jiao Tong Univ Inst Food & Nutraceut Sci Sch Agr & Biol Shanghai 200240 Peoples R China Univ Maryland Dept Nutr & Food Sci College Pk MD 20742 USA

The composited hydrogels derived from natural materials are getting attention in the field of cultured meat due to their advantages of biocompatibility and degradability as cell scaffolds. In this work, two edible cross-linking agents, transglutaminase (TGase) and/or calcium ions, were successfully used to cross-link soy protein isolated (SPI) and soy dietary fiber (SdF) to fabricate different scaffolds. The prepared scaffolds were characterized by structural, hydration, rheological, and mechanical analysis. The double cross-linked scaffolds exhibited the highest compressive moduli compared to the single cross-linked scaffolds and had an excellent liquid absorbing ability of up to 309.45%, while its porosity was as high as 72.66%. In addition, NIH 3T3 cells were used to evaluate the biocompatibility of the scaffolds in vitro. The double cross-linked scaffolds could promote the expression of differentiation-related genes and were beneficial for cell adhesion and proliferation. In conclusion, the present research provides a new approach to prepare cell scaffolds using soybean resources, which could be used in cultured meat applications.

关键词： Cross-linking Technology Soybean dietary Fibers Soy Proteins Cultured Meat Scaffolds

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Staying for food by urban birds: Insights from neural network analysis into adaptive strategies

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ENVIrONMENTAL MANAGEMENT 2025年第4期75卷 896-905页

作者： Liu, Yuran Wei, Yidong Liu, Qiqi Liang, Wei Hainan Normal Univ Coll Life Sci Minist Educ Key Lab Ecol Trop Isl Key Lab Trop Anim & Plant Ecol Hainan Prov Haikou 571158 Peoples R China

Previous work showed that animals have demonstrated remarkable adaptability by actively integrating into urban environments. However, there is no essential difference between urban and rural areas but food availability. The behavioral mechanisms and processes by which animals adapt to cities still require further experimental validation. In this study, field surveys of the flight initiation distance (FId) of black-headed gulls (Chroicocephalus ridibundus) were performed at three scenic sites in Kunming City, Yunnan, southwest china. Our results showed that, within the same area, the FId of black-headed gulls was significantly shorter in areas with increased human activity. Moreover, in areas with earlier human contact, black-headed gulls showed shorter FId. The FId data were further analyzed by a multilayer perceptron regression model with a neural network (ANN-MLP) approach to delineate FId thresholds for black-headed gulls in different human disturbance spots. The analysis revealed that black-headed gulls exhibit a high degree of behavioral flexibility in cities, with food availability playing a key role in increasing the birds' tolerance to humans. These findings highlight the significant impact of human behaviors, such as feeding, on wildlife behavior patterns. Understanding this mechanism is essential for understanding the coexistence of humans and wildlife. The establishment of FId models for black-headed gulls will provide new possibilities and tools for animal behavior research.

关键词： Artificial feeding Behavioral adaptation Flight initiation distance Neural network Urbanization

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Thermal properties evaluation for angular contact ball bearing subjected to thermal-mechanical coupling structure deformations

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JOUrNAL OF THE BrAZILIAN SOCIETY OF MECHANICAL SCIENCES ANd ENGINEErING 2025年第1期47卷 1-22页

作者： Wang, Mingkai Sun, Jiannan Lin, Qiyin Yan, Ke Xi An Jiao Tong Univ Key Lab Educ Minist Modern Design & Rotor Bearing Xian 710049 Peoples R China

This paper presents a thermal properties analysis model of angular contact ball bearings considering thermal-mechanical coupling structure deformations. The correlation between the assembly state and structure flexible deformations for the shaft-bearing-pedestal system is derived, and an improved transient thermal network model considering cage guiding type and grease heat transfer process is constructed. The influencing mechanism of bearing thermal properties is revealed, and the variations of structure deformations and service performance compared to those cases without considering thermal effect are explored. results indicated that the deformations of the shaft and bearing ring are more sensitive to the thermal effect, which is significantly greater than those cases without considering the thermal effect. The thermal expansion induced by temperature rise intensifies the bearing structure deformations, and decreases bearing clearance and the design contact angle. The bearing deformations are positively correlated with the rotation speed and external loads, and the bearing thermal characteristics can be optimized by properly adjusting the assembly state of the rotor-bearing system.

关键词： Angular contact ball bearing Thermal properties Structure deformations Assembly state

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Garlic-derived nanoparticles inhibit tumor by activating tumor infiltrating γδT cells

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Nano research 2025年第2期18卷 586-593页

作者： Jialu Xu Jintao Huang Yue Yu di Hu Yue Zhang Huaxing dai Li You Fang Xu Jian Shen Chao Wang Department of Interventional Radiology The First Affiliated Hospital of Soochow UniversitySuzhou 215006China Institute of Functional Nano&Soft Materials(FUNSOM) Jiangsu Key Laboratory for Carbon-based Functional Materials and DevicesSoochow UniversitySuzhou 215123China

γδT cells have emerged as a promising target in tumor therapy,prompting the development of novel strategies to activate these cells directly within the tumor *** this study,we engineered uniformly sized spherical garlic-derived nanoparticles(GNPs)to stimulate tumor-infiltratingγδT *** intratumoral injection of GNPs,we demonstrated their ability to directly activate γδT cells,leading to potent antitumor *** approach resulted in significant inhibition of various subcutaneous tumors in ***,under computed tomography(CT)guidance,intratumoral injection of GNPs effectively suppressed the growth of orthotopic liver cancer in New Zealand white *** studies revealed that GNPs robustly activated γδT cells,promoting an inflammatory microenvironment within *** approach of using garlic-derived nanoparticles offers the advantages of simplicity in preparation and high yield,presenting a promising avenue for tumor therapy with potential for clinical translation.

关键词： garlic-derived nanoparticles γδT cells tumor microenvironment antitumor effects

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Two-Step Adaptive Laboratory Evolution Enhances Osmotolerance in Engineered Escherichia coli for Improved Succinate Biosynthesis

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BIOTECHNOLOGY JOUrNAL 2025年第4期20卷 e70021页

作者： Shang, Yanzhe Zhu, Zhengtong Sun, Junru Fei, Peng Luo, Yuanchan Wu, Hui Dalian Univ Technol Sch Bioengn MOE Key Lab Biointelligent Mfg Dalian Peoples R China East China Univ Sci & Technol Shanghai Collaborat Innovat Ctr Biomfg Technol Sch Biotechnol State Key Lab Bioreactor Engn Shanghai Peoples R China China Natl Light Ind Council Key Lab Biobased Mat Engn Shanghai Peoples R China

Succinic acid (SA) is a promising platform chemical with broad applications in agricultural, food, and pharmaceutical industries. Microbial production of SA using Escherichia coli typically requires alkaline neutralizers to maintain pH during fermentation, leading to elevated osmotic pressure that severely inhibits SA production. The strain ZZT215, evolved from AFP111 using two-step adaptive laboratory evolution (ALE) strategy, exhibited the improved Na+ tolerance and SA productivity without further genetic modification. In 5 L bioreactor fermentation, ZZT215 accumulated 87.02 g/L of SA with a productivity at 1.01 g/(Lddle dot>h), representing 24.9% and 21.7% increases compared to the parent strain AFP111, respectively. Transcriptomic analysis revealed downregulated TCA cycle genes and upregulated ABC transporters, indicating metabolic adaptation to osmotic stress. These findings highlight the potential of multiple-step ALE for engineering robust microbial cell factories for SA and other high-value chemicals.

关键词： adaptive laboratory evolution Escherichia coli succinic acid transcriptome analysis two-stage fermentation

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An online prediction method for array antenna assembly performance based on digital twin

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JOUrNAL OF INTELLIGENT MANUFACTUrING 2025年第4期36卷 2727-2748页

作者： Guo, Xuepeng Liu, Linyan Wang, Huifen Li, Yue du, Xiaodong Shi, Jiancheng Wang, Yue Nanjing Univ Sci & Technol Sch Mech Engn 200Xiaolinwei St Nanjing 210094 Jiangsu Peoples R China China Elect Technol Grp Corp Res Inst 29 496Yingkang West Rd Chengdu 610036 Sichuan Peoples R China Chongqing Univ Posts & Telecommun Coll Adv Mfg Engn 2 Chongwen St Chongqing 400065 Peoples R China

In the actual array antenna assembly process, changes in the assembly process parameters strongly impact the solder joints. Thus, it is always necessary to pay attention to the stress-strain situation of solder joints to avoid their failure and affecting the overall performance of the resulting antenna products. In this paper, based on digital twin and cloud-edge collaboration technology, an online prediction method for array antenna assembly performance based on digital twinning and cloud-edge collaboration technology is proposed. First, key assembly process parameters such as the tightening torque, tightening sequence and part flatness of the array antenna are used as simulation inputs to carry out the finite element simulation. The mapping relationships between the assembly process parameters and assembly performance are determined, and simulation data samples are constructed. Then, a prediction method that combines ensemble learning and a BP neural network is proposed for assembly performance prediction of array antennas, and an assembly performance prediction model is constructed to realize the online prediction of assembly performance. The results show that the prediction is as expected. Finally, a digital twin-cloud-edge collaborative antenna assembly process performance prediction system is constructed, and real-time monitoring of antenna assembly performance is performed when applied to an array antenna assembly process. The instance validation showed that the developed online prediction model has an average accuracy of 94.35%. This real-time monitoring method can ensure critical solder joint performance and improve the success rate of antenna assembly.

关键词： digital twin Cloud-edge collaboration Ensemble learning Online prediction Array antenna

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Changes in factor profiles deriving from photochemical losses of volatile organic compounds:Insight from daytime and nighttime positive matrix factorization ana

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Journal of Environmental Sciences 2025年第5期151卷 627-639页

作者： Baoshuang Liu Tao Yang Sicong Kang Fuquan Wang Haixu Zhang Man Xu Wei Wang Jinrui Bai Shaojie Song Qili dai Yinchang Feng Philip K.Hopke State Environmental Protection Key Laboratory of Urban Ambient Air Particulate Matter Pollution Prevention and Control&Tianjin Key Laboratory of Urban Transport Emission Research College of Environmental Science and EngineeringNankai UniversityTianjin 300350China CMA-NKU Cooperative Laboratory for Atmospheric Environment-Health Research Tianjin 300350China Beijing Make Environment Science&Technology Co. Ltd.Beijing 100083China Shijiazhuang Environmental Prediction Center Shijiazhuang 050022China Department of Public Health Sciences University of Rochester School of Medicine and DentistryRochesterNY 14642USA Institute for a Sustainable Environment Clarkson UniversityPotsdamNY 13699USA

Substantial effects of photochemical reaction losses of volatile organic compounds(VOCs)on factor profiles can be investigated by comparing the differences between daytime and nighttime dispersion-normalized VOC data resolved *** speciated VOC data measured in Shijiazhuang,china from May to September 2021 were used to conduct *** mean VOC concentration in the daytime and at nighttime were 32.8 and 36.0 ppbv,*** and aromatics concentrations in the daytime(12.9 and 3.08 ppbv)were lower than nighttime(15.5 and 3.63 ppbv),whereas that of alkenes showed the opposite *** concentration differences between daytime and nighttime for alkynes and halogenated hydrocarbonswere uniformly *** reactivities of the dominant species in factor profiles for gasoline emissions,natural gas and diesel vehicles,and liquefied petroleum gas were relatively low and their profiles were less affected by photochemical *** losses produced a substantial impact on the profiles of solvent use,petrochemical industry emissions,combustion sources,and biogenic emissions where the dominant species in these factor profiles had high *** the profile of biogenic emissions was substantially affected by photochemical loss of isoprene,the low emissions at nighttime also had an important impact on its *** losses of highly active VOC species substantially reduced their concentrations in apportioned factor *** study results were consistent with the analytical results obtained through initial concentration estimation,suggesting that the initial concentration estimation could be the most effective currently availablemethod for the source analyses of active VOCs although with uncertainty.

关键词： Volatile organic compounds dispersion normalization Photochemical loss Factor profile Positive matrix factorization

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An original feature retention deconvolution algorithm and its application to bearing fault diagnosis

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MEASUrEMENT SCIENCE ANd TECHNOLOGY 2025年第1期36卷

作者： Cheng, Lei Yang, Gang Southwest Jiaotong Univ Tangshan Res Inst Tangshan 063000 Peoples R China Southwest Jiaotong Univ Coll Mech Engn Chengdu 610036 Peoples R China

Traditional blind deconvolution algorithms perform well in estimating the repetition rate of impulses within signals;however, they fall short in preserving the original features of the signal. In engineering applications, particularly for cyclic impulse signals, maintaining signal fidelity is as crucial as accurately estimating impulse counts, making pure impulse count estimation insufficient for practical needs. To address this limitation, we propose a novel deconvolution algorithm-maximum correlation Pearson fidelity coefficient deconvolution (MCPSFd). This method constructs an objective function based on two key metrics: the correlation Pearson coefficient (CPC), which quantifies the periodicity of impulses, and the signal fidelity coefficient (SFC), which measures the similarity between the original and recovered signals. By combining CPC and SFC, we introduce a new objective function, termed the correlated Pearson fidelity factor (CPSF), which simultaneously considers both the number of impulses and the original characteristics of the filtered signal without introducing redundant parameters. The MCPSFd algorithm is derived by maximizing the CPSF function. Extensive experiments on simulated and measured bearing signals demonstrate that the proposed method significantly outperforms existing deconvolution algorithms in recovering periodic impulses and minimizing signal distortion.

关键词： blind deconvolution fault diagnosis correlation Pearson correlation coefficient signal fidelity coefficient maximum correlation Pearson coefficient fidelity deconvolution

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The single machine scheduling problem with bio-mathematical fatigue constraints

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INTErnational JOUrNAL OF PrOdUCTION rESEArCH 2025年

作者： Wang, Zhaotong deng, Tianhu Meng, Yize Guo, Han Tsinghua Univ Dept Ind Engn Beijing 100084 Peoples R China Qingzhi Optimizat Beijing Technol Co Ltd Beijing Peoples R China Univ Sci & Technol China Sch Management Hefei Anhui Peoples R China

despite the adverse impacts of occupational fatigue such as accidents and injuries in the manufacturing industry, it has not been systematically examined in the literature on production scheduling. In this paper, we integrate the classic bio-mathematical fatigue prediction model from the brain science literature into the simple single machine scheduling problem with sequence-dependent setup times. Then, we formulate the problem as a mixed-integer linear programming model and propose an adaptive large neighborhood search heuristic. The effectiveness of the heuristic is numerically validated through real cases. Finally, we argue that considering bio-mathematical fatigue prediction can lead to safer production schedules, notably reducing the fatigue working hours in our real case.

关键词： Single machine scheduling bio-mathematical fatigue constraints adaptive large neighborhood search occupational safety and health mixed-integer linear programming

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