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Institution

Zhejiang Gongshang University

EducationHangzhou, 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.


Papers
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Journal ArticleDOI
TL;DR: Results demonstrated that bacterial inactivation caused by kojic acid was primarily induced by the pronounced damage to the cell membrane integrity, especially for Gram-negative bacteria.
Abstract: Although the antimicrobial properties of kojic acid have been recognized, the subcellular mechanism of bacterial inactivation caused by it has never been clearly elucidated. In the present study, t...

40 citations

Journal ArticleDOI
TL;DR: In this paper, a simple two-step mechanism is proposed and justified for NO oxidation catalyzed by microporous activated carbon, with carbon's chemical properties having no apparent impact for the conditions tested here.
Abstract: New catalysts, in particular activated carbons, are being developed to improve NO oxidation kinetics and to minimize the negative impacts of water vapor and SO 2 as an alternative NO x control strategy for flue gases. However, the literature is inconclusive about the pathway to achieve a stable downstream NO 2 concentration, creating discrepancies in the NO oxidation mechanism. In this paper, a simple two-step mechanism is proposed and justified for NO oxidation catalyzed by microporous activated carbon. In the first mechanistic step, NO is rapidly oxidized to NO 2 in activated carbon's micropores with constant NO conversion efficiency, prior to the formation of adsorbed intermediates (e.g., C * NO 2 , C * NO 3 or C * NO NO 3 ). This conclusion challenges the idea that NO oxidation to NO 2 requires decomposition of the C * NO NO 3 intermediate. Instead, we show that the physical properties of the catalyst (i.e., micropore width and volume) control steady-state NO oxidation kinetics, with carbon's chemical properties having no apparent impact for the conditions tested here. In the second mechanistic step, newly formed NO 2 is chemically adsorbed on the carbon surface, resulting in formation of NO and C N or C O complexes. Chemical disproportion of NO 2 proceeds until the carbon surface is saturated with these complexes. It follows that the first step of the mechanism (NO oxidation in micropores) controls steady state NO oxidation kinetics while the second step (NO/carbon surface reactions) controls transient NO oxidation kinetics. This two-step mechanism is confirmed via in situ cyclic experiments and NO 2 pre-adsorption tests. Pre-saturation of the carbon surface with functional groups decreases the impact of the second mechanistic step, affecting transient NO oxidation kinetics but having no impact on steady-state oxidation kinetics. A more complete understanding of the reaction mechanism allows us to better prepare tailored carbonaceous NO oxidation catalysts.

40 citations

Journal ArticleDOI
TL;DR: In this article, the pH dependent sorption of rare earth ions (La, Ce, Pr, Nd, III), Yb, Sm, Eu, Gd, Tb, Dy, Ho, Er, Lu, and Yb(III)) from HAC-NaAC buffer solution at 298 K by D152 resin containing -COOH function groups were presented.

40 citations

Book ChapterDOI
22 Sep 2008
TL;DR: The Java Geometry Expert (JGEX) system as discussed by the authors is a tool for generating visually dynamic presentation of proofs in plane geometry, which consists of three parts: the drawing part, the proving and reasoning part, and the most distinctive part -the part for generating visual dynamic presentation in geometry proofs.
Abstract: This paper gives a brief introduction to the system Java Geometry Expert (JGEX). This system consists of three parts: the drawing part, the proving and reasoning part, and the most distinctive part - the part for generating visually dynamic presentation of proofs in plane geometry. The current version of JGEX is beta 0.80, which is available at our website woody: http://woody.cs.wichita.edu.

40 citations

Journal ArticleDOI
TL;DR: The parameters that were the most sensitive to storage duration were color, TPA, pH, K value, TVC, levels of transcripts coding for cathepsin L, EA, ES, and sensory attributes, which might be considered suitable indicators for evaluating the freshness of large yellow croaker fillets during chilled storage under vacuum packaging.
Abstract: The freshness of large yellow croaker ( Pseudosciaena crocea ) fillets was evaluated over 20 days of chilled storage under vacuum packaging. The physicochemical properties [pH, K value, thiobarbituric acid (TBA), texture profile analyses (TPA), color], microbiological properties [total viable count (TVC)], sensory attributes, transcriptomics (levels of transcripts coding for cathepsin L), and functional properties of proteins [emulsion activity (EA) and emulsion stability (ES)] were assessed at 0, 5, 10, 15, and 20 days of storage. This study also investigated the effect of the storage time on fish muscle proteome in large yellow croaker using two-dimensional gel electrophoresis (2-DE) and matrix-assisted laser desorption ionization time-of-flight tandem mass spectrometry (MALDI-TOF-MS/MS). The parameters that were the most sensitive to storage duration were color (C*(ab)), TPA (springiness, chewiness, and resilience), pH, K value, TVC, levels of transcripts coding for cathepsin L, EA, ES, and sensory attributes. The three altered proteins were successfully identified. Therefore, these parameters might be considered suitable indicators for evaluating the freshness of large yellow croaker fillets during chilled storage under vacuum packaging.

40 citations


Authors

Showing all 8318 results

NameH-indexPapersCitations
David Julian McClements131113771123
Sajal K. Das85112429785
Ye Wang8546624052
Xun Wang8460632187
Tao Jiang8294027018
Yueming Jiang7945220563
Mo Wang6127413664
Robert J. Linhardt58119053368
Jiankun Hu5749311430
Xuming Zhang5638410788
Yuan Li503528771
Chunping Yang491738604
Duo Li483299060
Matthew Campbell4823613448
Aiqian Ye481636120
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Performance
Metrics
No. of papers from the Institution in previous years
YearPapers
20241
202325
2022153
2021937
2020770
2019627