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Unlocking the stable interface in aqueous zinc-ion battery with multifunctional xylose-based electrolyte additives

Journal of Energy Chemistry 2025年第1期100卷 770-778页

作者： Xiaoqin Li Jian Xiang Lu Qiu Xiaohan Chen Yinkun Zhao Yujue Wang Qu Yue Taotao Gao Wenlong Liu Dan Xiao Zhaoyu Jin Panpan Li Institute for Advanced Study Chengdu University school of Mechanical engineering Chengdu University College of food and Biological engineering Chengdu University Institute of Fundamental and Frontier Sciences University of Electronic Science and Technology of China College of Materials Science and engineering Sichuan University

The growth of dendrites and the side reactions occurring at the Zn anode pose significant challenges to the commercialization of aqueous Zn-ion batteries（AZIBs）. These challenges arise from the inherent conflict between mass transfer and electrochemical kinetics. In this study, we propose the use of a multifunctional electrolyte additive based on the xylose（Xylo） molecule to address these issues by modulating the solvation structure and electrode/electrolyte interface, thereby stabilizing the Zn anode. The introduction of the additive alters the solvation structure, creating steric hindrance that impedes charge transfer and then reduces electrochemical kinetics. Furthermore, in-situ analyses demonstrate that the reconstructed electrode/electrolyte interface facilitates stable and rapid Zn2+ion migration and suppresses corrosion and hydrogen evolution reactions. As a result, symmetric cells incorporating the Xylo additive exhibit significantly enhanced reversibility during the Zn plating/stripping process, with an impressively long lifespan of up to 1986 h, compared to cells using pure ZnSO4electrolyte. When combined with a polyaniline cathode, the full cells demonstrate improved capacity and long-term cyclic stability. This work offers an effective direction for improving the stability of Zn anode via electrolyte design, as well as highperformance AZIBs.

关键词： Solvation

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Measurement and analysis of soil nitrogen and organic matter content using near-infrared spectroscopy techniques

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2005年第11期6卷 1081-1086页

作者：何勇宋海燕 PEREIRA Annia García GóMEZ Antihus Hernández school of biosystems engineering and food Science Zhejiang University

Near infrared reflectance （N1R） spectroscopy is as a rapid, convenient and simple nondestructive technique useful for quantifying several soil properties. This method was used to estimate nitrogen （N） and organic matter （OM） content in a soil of Zhejiang Province, Hangzhou County. A total of 125 soil samples were taken from the field. Ninety-five samples spectra were used during the calibration and cross validation stage. Thirty samples spectra were used to predict N and OM concentration. NIR spectra of these samples were correlated using partial least square regression. The regression coefficients between measured and predicted values of N and OM was 0.92 and 0.93, and SEP （standard error of prediction） were 3.28 and 0.06, respectively, which showed that NIR method had potential to accurately predict these constituents in this soil. The results showed that NIR spectroscopy could be a good tool for precision farming application.

关键词： NIR spectroscopy Partial least square Precision farming Soil spatial variability Nitrogen Organic matter

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Identification of rice seed varieties using neural network

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2005年第11期6卷 1095-1100页

作者：刘兆艳成芳应义斌饶秀勤 school of biosystems engineering and food Science Zhejiang University

A digital image analysis algorithm based color and morphological features was developed to identify the six varieties （ey7954, syz3, xsl 1, xy5968, xy9308, z903） rice seeds which are widely planted in Zhejiang Province. Seven color and fourteen morphological features were used for discriminant analysis, Two hundred and forty kernels used as the training data set and sixty kernels as the test data set in the neural network used to identify rice seed varieties. When the model was tested on the test data set, the identification accuracies were 90.00%, 88.00%, 95.00%, 82.00%, 74.00%, 80.00% for ey7954, syz3, xsl1, xy5968, xy9308, z903 respectively.

关键词： Machine vision Digital image processing Neural network Rice seeds Classification

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Prediction of shelled shrimp weight by machine vision

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2009年第8期10卷 589-594页

作者： Peng-min PAN Jian-ping LI Gu-lai LV Hui YANG Song-ming ZHU Jian-zhong LOU Department of biosystems engineering School of Biosystems Engineering and Food Science Zhejiang University Hangzhou 310029 China

The weight of shelled shrimp is an important parameter for grading *** weight prediction of shelled shrimp by contour area is not accurate enough because of the ignorance of the shrimp *** this paper,a multivariate prediction model containing area,perimeter,length,and width was established.A new calibration algorithm for extracting length of shelled shrimp was proposed,which contains binary image thinning,branch recognition and elimination,and length reconstruction,while its width was calculated during the process of length *** model was further validated with another set of images from 30 shelled *** a comparison purpose,artificial neural network(ANN) was used for the shrimp weight *** ANN model resulted in a better prediction accuracy(with the average relative error at 2.67%),but took a tenfold increase in calculation time compared with the weight-area-perimeter(WAP) model(with the average relative error at 3.02%).We thus conclude that the WAP model is a better method for the prediction of the weight of shelled red shrimp.

关键词： Shelled shrimp Image Feature Length extracting Weight prediction Weight-area-perimeter (WAP) model

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Quantitative Structure-activity Relationship Studies on the Antioxidant Activity and Gap Junctional Communication of Carotenoids

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Chinese Journal of Structural Chemistry 2010年第9期29卷 1362-1372页

作者：孙玉敬吴丹刘东红陈健初沈妍叶兴乾 Department of food Science and Nutrition School of Biosystems Engineering and Food ScienceZhejiang University

The antioxidant and gap junctional communication（GJC） activities of carotenoids are known to be the two main anticancer *** structure-activity relationship（QSAR） models of the two activities were developed using stepwise regression and multilayer perceptron neural network based on the calculated descriptors of quantum *** results showed that the significant molecular descriptor related to the antioxidant activity of carotenoids was the HOMO-LUMO energy gap（EHL） and the molecular descriptor related to the GJC was the lowest unoccupied molecular orbital energy（ELUMO）.The two models of antioxidant activity both showed good predictive power,but the predictive power of the neural network QSAR model of antioxidant activity was *** addition,the two GJC models have similar,moderate predictive *** possible mechanisms of antioxidant activity and GJC of carotenoids were discussed.

关键词： carotenoids antioxidant activity gap junctional communication multilayer perceptron neural network quantitative structure-activity relationship

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Fruit shape detection by level set

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Journal of Zhejiang University-Science A(Applied Physics & engineering) 2007年第8期8卷 1232-1236页

作者： GUI Jiang-sheng RAO Xiu-qin YING Yi-bin school of biosystems engineering and food Science Zhejiang University Hangzhou 310029 China

A novel approach for fruit shape detection in RGB space was proposed,which was based on fast level set and Chan-Vese model named as Modified Chan-Vese model(MCV) . This new algorithm is fast and suitable for fruit sorting because it does not need re-initializing. MCV has three advantages compared to the traditional methods. First,it provides a unified frame-work for detecting fruit shape boundary,and does not need any preprocessing even though the raw image is noisy or blurred. Second,if the fruit has different colors at the edges,it can detect perfect boundary. Third,it processed directly in color space without any transformations that may lose much information. The proposed method has been applied to fruit shape detection with promising result.

关键词： Machine vision Shape detection Level set Fruit sorting

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Prediction of valid acidity in intact apples with Fourier transform near infrared spectroscopy

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2005年第3期6卷 158-164页

作者：刘燕德应义斌傅霞萍 school of biosystems engineering & food Science Zhejiang University Hangzhou 310029 China College of Engineering Jiangxi Agriculture University Nanchang 330045 China school of biosystems engineering & food Science Zhejiang University Hangzhou 310029 China

To develop nondestructive acidity prediction for intact Fuji apples, the potential of Fourier transform near infrared (FT-NIR) method with fiber optics in interactance mode was investigated. Interactance in the 800 nm to 2619 nm region was measured for intact apples, harvested from early to late maturity stages. Spectral data were analyzed by two multivariate calibra- tion techniques including partial least squares (PLS) and principal component regression (PCR) methods. A total of 120 Fuji apples were tested and 80 of them were used to form a calibration data set. The influences of different data preprocessing and spectra treatments were also quantified. Calibration models based on smoothing spectra were slightly worse than that based on derivative spectra, and the best result was obtained when the segment length was 5 nm and the gap size was 10 points. Depending on data preprocessing and PLS method, the best prediction model yielded correlation coefficient of determination (r2) of 0.759, low root mean square error of prediction (RMSEP) of 0.0677, low root mean square error of calibration (RMSEC) of 0.0562. The results indicated the feasibility of FT-NIR spectral analysis for predicting apple valid acidity in a nondestructive way.

关键词： Apples Nondestructive prediction FT-NIR Valid acidity Multivariate analysis

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Mechanical and thermal properties of sodium silicate treated moso bamboo particles reinforced PVC composites

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Science China(Technological Sciences) 2010年第11期53卷 2932-2935页

作者： WANG Hui SHENG KuiChuan CHEN Jie MAO HaiLiang QIAN XiangQun school of biosystems engineering and food Science Zhejiang UniversityHangzhou 310029China

The main objective of this research was to study the potential of sodium silicate modification on moso bamboo particles as reinforcements for thermoplastic. Moso bamboo particles were modified with sodium silicate aqueous solutions (of 0.5%, 1%, 2%, 5% and 10% concentrations). The mechanical properties of sodium silicate treated moso bamboo particles reinforced PVC composites (BPPC) were calculated and compared with raw bamboo particles filled samples. The thermal characteristics of the BPPC were studied to investigate the feasibility of sodium silicate treatment on moso bamboo particles. The particle morphology and BPPC microstructure were investigated by scanning electron microscopy. Results showed that the tensile strength and modulus of elasticity of the BPPC increased before the concentration of sodium silicate solution reached 5% and got their maximum values of 15.72 MPa and 2956.80 MPa, respectively at 5% concentration. The modulus of rupture obtained the maximum value of 27.73 MPa at 2% concentration. The mechanical curve decreased as the concentration of solution went higher. Differential scanning calorimetric analysis illustrated that the sodium silicate solution treated BPPC possesses a better compatibility. More uniform dispersion of moso bamboo particles in PVC matrix was obtained after the sodium silicate treatment. Hence, the sodium silicate was a feasible and competitive agent of creating moso bamboo particles reinforced PVC composites.

关键词： composites moso bamboo particles polyvinylchloride mechanical properties thermal property

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Ultrasonic concentration measurement of citrus pectin aqueous solutions using PC and PLS regression

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International Journal of Agricultural and Biological engineering 2012年第2期5卷 76-81页

作者： Meng Ruifeng Zhong Jianjun Zhang Lifen Ye Xingqian Liu Donghong school of biosystems engineering and food Science Zhejiang UniversityHangzhou 310058China

This work demonstrated the use of multivariate statistical techniques called principal component(PC)and partial least squares(PLS)to extract the acoustic features of citrus pectin water *** concentration of citrus pectin water solution was predicted by PC and PLS regression method using the spectra of ultrasound pulse echoes travelling through *** values of root mean square error of validation(RMSEV)were 0.0675 g/100 g and 0.0662 g/100 g for PC and PLS regression model,*** the response variable was taken into account,PLS regression model was more accurate than PC regression ***,a method for temperature compensation was proposed to correct the impact of temperature variation on analyzed *** proposed methods for pectin concentration measurement are easily adaptable to similar applications using existing hardware.

关键词： Partial Least Square Regression Principal Component Regression concentration measurement acoustic velocity

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Effects of Bifidobacterium lactis BLa80 on fecal and mucosal flora and stem cell factor/c-kit signaling pathway in simulated microgravity rats

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World Journal of Gastroenterology 2025年第1期31卷 93-109页

作者： Ping Zhang Ying Zhu Pu Chen Tong Zhou Zhe-Yi Han Jun Xiao Jian-Feng Ma Wen Ma Peng Zang Ying Chen Graduate school Hebei North UniversityZhangjiakou 075000Hebei ProvinceChina Key Laboratory of Aerospace Nutrition and food engineering China Astronaut Research and Training CenterBeijing 100094China Department of Gastroenterology The Air Force Medical CenterBeijing 100142China Department of Blood Transfusion Air Force Medical CenterBeijing 100142China

BACKGROUND Simulated microgravity environment can lead to gastrointestinal motility *** pathogenesis of gastrointestinal motility disorders is closely related to the stem cell factor(SCF)/c-kit signaling pathway associated with intestinal flora and Cajal stromal ***,intestinal flora can also affect the regulation of SCF/c-kit signaling pathway,thus affecting the expression of Cajal stromal *** cells are the pacemakers of gastrointestinal *** To investigate the effects of Bifidobacterium lactis(***)BLa80 on the intestinal flora of rats in simulated microgravity and on the gastrointestinal motility-related SCF/c-kit *** The internationally recognized tail suspension animal model was used to simulate the microgravity environment,and 30 rats were randomly divided into control group,tail suspension group and drug administration tail suspension group with 10 rats in each group for a total of 28 *** tail group was given *** BLa80 by intragastric administration,and the other two groups were given water intragastric administration,the concentration of intragastric administration was 0.1 g/mL,and each rat was 1 mL/***&eosin staining was used to observe the histopathological changes in each segment of the intestine of each group,and the expression levels of SCF,c-kit,extracellular signal-regulated kinase(ERK)and p-ERK in the gastric antrum of each group were detected by Western blotting and *** fecal flora and mucosal flora of rats in each group were detected by 16S *** Simulated microgravity resulted in severe exfoliation of villi of duodenum,jejunum and ileum in rats,marked damage,increased space between villi,loose arrangement,shortened columnar epithelium of colon,less folds,narrower mucosal thickness,reduced goblet cell number and crypts,and significant improvement after probiotic *** microgravity reduced the expressions of SCF and c-kit,and increased the express

关键词： Simulated microgravity Rat Intestinal flora Gastrointestinal motility Stem cell factor/c-kit signaling pathway

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