Institution
Zhejiang Gongshang University
Education•Hangzhou, China•
About: Zhejiang Gongshang University is a education organization based out in Hangzhou, China. It is known for research contribution in the topics: Computer science & Chemistry. The organization has 8258 authors who have published 7670 publications receiving 90296 citations. The organization is also known as: Zhèjiāng Gōngshāng Dàxué.
Topics: Computer science, Chemistry, Adsorption, Catalysis, China
Papers published on a yearly basis
Papers
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TL;DR: Oral tribology has shown itself to be an in vitro technique that may aid a better understanding of the dynamics of in-mouth lubrication and the physical mechanisms underlying texture and mouthfeel perception, and adding saliva is recommended when performing tribology measurements of foods in order to give a more realistic picture.
Abstract: Increasing the protein content of yogurts would be a good strategy for enhancing their satiating ability. However, the addition of protein can affect product palatability, contributing astringency or an inhomogeneous texture. Increasingly, studies mimicking oral tribology and oral lubrication have been attracting interest among food researchers because of their link with oral texture sensations. In the present study, four double-protein stirred yogurts were prepared by adding extra skimmed milk powder (MP) or whey protein concentrate (WPC) and by adding a physically modified starch to each (samples MPS and WPCS, respectively) to increase the consistency of the yogurts. The lubricating properties of the four yogurts were examined by tribological methods with the aim of relating these properties to the sensory perception described by flash profiling. Samples were also analysed after mixing with saliva. The tribology results clearly showed that addition of starch reduced the friction coefficient values regardless of the type of protein. Saliva addition produced a further decrease in the friction coefficient values in all the samples. Consequently, adding saliva is recommended when performing tribology measurements of foods in order to give a more realistic picture. The sensory results confirmed that the addition of starch reduced the astringent sensation, especially in sample WPC, while the MP and MPS samples were creamier and smoother. On the other hand, the astringency of sample WPC was not explained by the tribology results. Since this sample was described as “grainy”, “gritty”, “rough”, “acid” and “sour”, further studies are necessary to investigate the role of the number, size, shape and distribution of particles in yogurt samples, their role in astringency perception and their interaction with the perception of the tastes mentioned. Oral tribology has shown itself to be an in vitro technique that may aid a better understanding of the dynamics of in-mouth lubrication and the physical mechanisms underlying texture and mouthfeel perception.
49 citations
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TL;DR: In this paper, a mixture of essential oil (thyme oil), organic acids (acetic or propionic acid), and non-ionic surfactant (Tween®80) was used to formulate the antimicrobial microemulsion-films.
49 citations
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TL;DR: Interestingly, as NaCl concentration increased, the residence time of lactic acid in the reactor increased, and the maximum production also increased, so the type of acidogenic fermentation also changed from butyric acid to propionic acid as the Na Cl concentration increased.
49 citations
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TL;DR: In this article, the authors investigated the impact of extralocal interactions in intercity coinvention networks on innovation in cities and found that the innovation performance of a city hinges on its centrality in inter-city coin-vention networks, its ability to fill structural holes in these networks, and its node cohesiveness and transitivity within ego networks.
49 citations
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TL;DR: Gene ontology analysis of target transcripts demonstrated that defense response- and photosynthesis-related genes were most affected in CMV-Fny-infected tomatoes, contributing to the understanding of miRNAs in response to virus infection.
Abstract: MicroRNAs (miRNAs) play important regulatory roles in plant development and stress responses. Tomato is an economically important vegetable crop in the world with publicly available genomic information database, but only a limited number of tomato miRNAs have been identified. In this study, two independent small RNA libraries from mock and Cucumber mosaic virus (CMV)-infected tomatoes were constructed, respectively, and sequenced with a high-throughput Illumina Solexa system. Based on sequence analysis and hairpin structure prediction, a total of 50 plant miRNAs and 273 potentially candidate miRNAs (PC-miRNAs) were firstly identified in tomato, with 12 plant miRNAs and 82 PC-miRNAs supported by both the 3p and 5p strands. Comparative analysis revealed that 79 miRNAs (including 15 new tomato miRNAs) and 40 PC-miRNAs were differentially expressed between the two libraries, and the expression patterns of some new tomato miRNAs and PC-miRNAs were further validated by qRT-PCR. Moreover, potential targets for some of the known and new tomato miRNAs were identified by the recently developed degradome sequencing approach, and target annotation indicated that they were involved in multiple biological processes, including transcriptional regulation and virus resistance. Gene ontology analysis of these target transcripts demonstrated that defense response- and photosynthesis-related genes were most affected in CMV-Fny-infected tomatoes. Because tomato is not only an important crop but also is a genetic model for basic biology research, our study contributes to the understanding of miRNAs in response to virus infection.
49 citations
Authors
Showing all 8318 results
Name | H-index | Papers | Citations |
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David Julian McClements | 131 | 1137 | 71123 |
Sajal K. Das | 85 | 1124 | 29785 |
Ye Wang | 85 | 466 | 24052 |
Xun Wang | 84 | 606 | 32187 |
Tao Jiang | 82 | 940 | 27018 |
Yueming Jiang | 79 | 452 | 20563 |
Mo Wang | 61 | 274 | 13664 |
Robert J. Linhardt | 58 | 1190 | 53368 |
Jiankun Hu | 57 | 493 | 11430 |
Xuming Zhang | 56 | 384 | 10788 |
Yuan Li | 50 | 352 | 8771 |
Chunping Yang | 49 | 173 | 8604 |
Duo Li | 48 | 329 | 9060 |
Matthew Campbell | 48 | 236 | 13448 |
Aiqian Ye | 48 | 163 | 6120 |