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Biomedical and Environmental Sciences 2019年第8期32卷 578-591页

作者： XIAO Xiang BAI Juan LI Ming Song ZHANG Jia Yan SUN Xin Juan DONG Ying school of food and Biological engineering Jiangsu University

Objective We aimed to explore how fermented barley extracts with Lactobacillus plantarum dy-1(LFBE) affected the browning in adipocytes and obese *** In vitro, 3T3-L1 cells were induced by LFBE, raw barley extraction(RBE) and polyphenol compounds(PC) from LFBE to evaluate the adipocyte *** vivo, obese SD rats induced by high fat diet(HFD) were randomly divided into three groups treated with oral gavage:(a) normal control diet with distilled water,(b) HFD with distilled water,(c) HFD with 800 mg LFBE/kg body weight(bw).Results In vitro, LFBE and the PC in the extraction significantly inhibited adipogenesis and potentiated browning of 3T3-L1 preadipocytes, rather than *** vivo, we observed remarkable decreases in the body weight, serum lipid levels, white adipose tissue(WAT) weights and cell sizes of brown adipose tissues(BAT) in the LFBE group after 10 *** group could gain more mass of interscapular BAT(IBAT) and promote the dehydrogenase activity in the *** LFBE may potentiate process of the IBAT thermogenesis and epididymis adipose tissue(EAT) browning via activating the uncoupling protein 1(UCP1)-dependent mechanism to suppress the *** These results demonstrated that LFBE decreased obesity partly by increasing the BAT mass and the energy expenditure by activating BAT thermogenesis and WAT browning in a UCP1-dependent mechanism.

关键词： Fermented barley Polyphenol compounds UCP1 Thermogenesis Browning

Ultra-weak bioluminescence and vigour of irradiated rice

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International Journal of Agricultural and Biological engineering 2010年第1期3卷 85-90页

作者： Yu Yong Wang Jun College of biosystems engineering and food Science Zhejiang UniversityHangzhou 310029China

Detection of the irradiation dose and the vigour of irradiated rice based on the ultra-weak luminescent analysis is one of the promising analytical detection *** rice and head rice flour were used in this research for ultra-weak luminescent *** bioluminescence intensity of the rough rice was different at varying irradiation doses and storage *** trend of the differences was consistent with the germination rates of the irradiated rough *** changes of the bioluminescence intensity and the germination rate of the irradiated rough rice at diverse irradiation doses and storage time were due to the damage to the rice embryo caused by irradiation and the self-repair function of the embryo during *** a result,the ultra-weak luminescent analysis cannot detect the dose of the irradiation treatment on rice,but it can be used to detect the vigour of the irradiated *** results show that the irradiation dose has a highly significant effect on the bioluminescence intensity of the rough rice flour when sucrose was added.

关键词： ultra-weak luminescence vigour gamma irradiation rice

Feasibility of implementation of intelligent simulation configurations based on data mining methodologies for prediction of tractor wheel slip

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Information Processing in Agriculture 2019年第2期6卷 183-199页

作者： S.M.Shafaei M.Loghavi S.Kamgar Department of biosystems engineering School of AgricultureShiraz UniversityShiraz 71441-65186Iran

This paper deals with implementation of intelligent simulation configurations for prediction of tractor wheel slip in tillage *** effects of numeral variables of forward speed(2,4,and 6 km/h)and plowing depth(10,20,and 30 cm),and nominal variable of tractor driving mode(two-wheel drive(2WD)and four-wheel drive(4WD))on tractor rear wheel slip were intelligently simulated utilizing data mining methodologies of artificial neural network(ANN)and adaptive neuro-fuzzy inference system(ANFIS).Neuro-fuzzy potential of the ANFIS simulation framework against neural ability of the ANN simulation framework was *** confirmed higher efficiency of the best configuration of the ANFIS simulation framework with satisfactory statistical performance criteria of coefficient of determination(0.981),root mean square error(1.124%),mean absolute percentage error(1.515%),and mean of absolute values of prediction residual errors(1.135%)than that of the ANN simulation *** perception obtained from the ANFIS simulation results demonstrated that the wheel slip increased nonlinearly with increment of forward speed and plowing depth,while it decreased as tractor driving mode changed from the 2WD to ***,the best configuration of the ANFIS based intelligent simulation framework implemented in this study can be used for further relevant studies of tractor rear wheel slip as a reference.

关键词： Forward speed Plowing depth Tractor driving mode Tillage operations Tractor tractive efficiency

Identification of carbohydrate in Polygonatum sibiricum:fructo-oligosaccharide was a major component

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food Quality and Safety 2023年第3期7卷 439-446页

作者： Jiabei Xia Cenrong Zhang Kai Zhu Xingyu Mei Huan Cheng Shiguo Chen Xingqian Ye Jianle Chen Ningbo Innovation Center Zhejiang UniversityNingboChina College of biosystems engineering and food Science National–Local Joint Engineering Laboratory of Intelligent Food Technology and EquipmentZhejiang Key Laboratory for Agri-Food ProcessingFuli Institute of Food ScienceZhejiang Engineering Laboratory of Food Technology and EquipmentZhejiang UniversityHangzhouChina Zhejiang University Zhongyuan Institute ZhengzhouChina school of Biological and Chemical engineering NingboTech UniversityNingboChina

Polygonatum sibiricum,famous for its physiological activities,is a popular Chinese food and a traditional Chinese herb containing many carbohydrates as the main ***,except for most reported polysaccharides,other detailed compositions of carbohydrates are still not *** verify the controversial existence of starch and investigate other components,especially oligosaccharides,we used iodine–potassium iodide colorimetric detection and enzymatic hydrolysis to determine ***,oligosaccharides were analyzed by thin-layer chromatography,gel permeation chromatography,high-performance anion exchange chromatography with pulsed amperometric detection,and hydrophilic interaction chromatography–electrospray tandem mass *** results showed that the rhizome of *** lacked starch,and fructooligosaccharides were the main component,accounting for approximately 28.95%.Oligosaccharides with degrees of polymerization above 10 were the most abundant *** study clearly illustrated the unknown carbohydrate components of the Polygonatum rhizome,promoting its functional value with new evidence.

关键词： Polygonatum sibiricum starch determination fructo-oligosaccharides HPAEC-PAD HILIC-ESI-MS/MS

On the neurocomputing based intelligent simulation of tractor fuel efficiency parameters

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Information Processing in Agriculture 2018年第2期5卷 205-223页

作者： S.M.Shafaei M.Loghavi S.Kamgar Department of biosystems engineering School of AgricultureShiraz UniversityShiraz 71441-65186Iran

Tractor fuel efficiency parameters(TFEPs)(fuel consumption per working hour(FCWH),fuel consumption per tilled area(FCTA)and specific volumetric fuel consumption(SVFC))were intelligently simulated.A neurocomputing based simulation strategy(adaptive neurofuzzy inference system(ANFIS))was used to simulate the TFEPs.A comparison was also made between results of the best ANFIS environment and those of another neurocomputing based simulation strategy,artificial neural network(ANN).Field experiments were conducted at plowing depths of 10,20 and 30(cm)and forward speeds of 2,4 and 6(km/h)using a disk plow *** descriptor parameters applied to evaluate simulation environments indicated that the best simulation environment of both ANFIS and ANN were able to perfectly predict the ***,the best comprehensive ANN simulation environment with a simple architecture of 2-6-3 was easier to use than three individual ANFIS simulation *** ANN results revealed that simultaneous increase of forward speed from 2 to 6(km/h)and plowing depth from 10 to 30(cm)led to nonlinear increment of the FCWH from 5.29 to 14.89(L/h)and nonlinear decrement of the SVFC from 2.95 to 0.67(L/h kW).Meanwhile,forward speed increment along with plowing depth decrement resulted in nonlinear decrement of the FCTA from 28.13 to 12.24(L/ha).Interaction of forward speed and plowing depth on the FCWH and SVFC was congruent,while it was incongruent for the *** is suggested to employ the ANN environment in developing future fuel planning schemes of tractor during tillage operations.

关键词： Adaptive neuro-fuzzy inference system Artificial neural network Fuel consumption per working hour Fuel consumption per tilled area Specific volumetric fuel consumption

Improvement of numerical simulation of bimolecular reactive transport using time-dependent parameters

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Journal of Hydrodynamics 2015年第1期27卷 62-67页

作者：刘咏钱家忠马雷赵卫东骆乾坤 school of Biotechnology and food engineering Hefei University of Technology school of Resources and Environmental engineering Hefei University of Technology

The overestimation of the contaminant concentration is a main issue in simulating the reactive transport using the common advection-dispersion-reaction equation （ADRE）. To solve this problem, a new modeling method is developed. The parameters of the model are identified based on experimental data. The results of the model are compared with previous results in the literature, and the sensitivity of the model is analyzed by examining the model＇s response to changes of the model parameters. Main conclusions are as follows：（1） The numerical modeling approach is feasible with an improved simulating accuracy. The predicted values are in agreement with the experimental measurements. The relative errors of the peak concentration between the simulated and experimental values are less than 2.5%. The errors are greatly reduced as compared with the results （about 67.8% as the maximum） based on a traditional ADRE in the literature. （2） There are three parameters （m, β0 and D ） which can be calibrated on the basis of experimental data in the model. The reactive product concentrations are mainly influenced by the parameters involved in the reactive ratio such as m and β0 The hydrodynamic dispersion coefficient D has almost no influence on the reactive product transport. （3） Our model does not provide better fitting curves for the ＂early arrival＂ and the ＂long tail＂. The ＂early arrival＂ and the ＂long tail＂ are associated with low values of the product AB. Under these conditions, the reaction rate is close to 0, and the model of the ADRE reduces to the advection-dispersion equation （ADE）. Further mechanism study is needed in the future.

关键词： numerical simulation bimolecular reactive transport porous media ADRE

Prognostication of energy indices of tractor-implement utilizing soft computing techniques

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Information Processing in Agriculture 2019年第1期6卷 132-149页

作者： S.M.Shafaei M.Loghavi S.Kamgar Department of biosystems engineering School of AgricultureShiraz UniversityShiraz 71441-65186Iran

Energy indices(energy requirement for tillage implement(ERTI)and tractor overall energy efficiency(TOEE))of tractor-implement during tillage operations were aimed to be investigated in this *** generate a new comprehensive model,the effects of forward speed at three levels(2,4 and 6 km/h)and plowing depth at three levels(10,20 and 30 cm)on energy indices were experimentally *** soft computing techniques,artificial neural network(ANN)and adaptive neuro-fuzzy inference system(ANFIS),were employed to prognosticate energy *** between the best developed structure of each soft computing technique demonstrated that one comprehensive ANN model was preferred than two individual ANFIS *** to the ANN prognostication results,simultaneous increase of forward speed from 2 to 6 km/h along with plowing depth increment from 10 to 30 cm led to nonlinear increment of the ERTI and TOEE from 33.87 to 122.66 MJ/ha and 4.65 to 17.85%,***,interaction of forward speed and plowing depth on energy indices was *** of comprehensive ANN model now makes it possible to answer fundamental questions in domain of the effect of plowing depth and forward speed on energy indices of tractor-implement that were previously ***,to properly manage energy indices and reduce energy dissipation of tractor-implement,application of the new developed ANN model is strongly recommended.

关键词： Artificial neural network Energy requirement for tillage implement Tractor overall energy efficiency Adaptive neuro-fuzzy inference system

Benchmark of an intelligent fuzzy calculator for admissible estimation of drawbar pull supplied by mechanical front wheel drive tractor

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Artificial Intelligence in Agriculture 2020年第1期4卷 209-218页

作者： S.M.Shafaei M.Loghavi S.Kamgar Department of biosystems engineering School of AgricultureShiraz UniversityShiraz 71441-65186Iran

This paper proposes a calculator for estimation of drawbar pull supplied bymechanical front wheel drive tractor based on nominal input variable of tractor drivingmode in two-wheel drive(2WD)and four-wheel drive(4WD),and numeral input variables of tractor weight(53.04–78.45 kN)and slip of driving wheels(1.4–15.1%)utilizing intelligent fuzzy *** systemswere developed bymeans of various input membership functions,output membership functions,defuzzification methods,and training *** prominent developed system for estimation of the drawbar pull yielded a user-friendly intelligent fuzzy calculator with admissible accuracy(coefficient of determination=0.993).Data obtained from the calculator revealed increasing nonlinear trend of the drawbar pull in range of 12.9–57.5 kN as concurrent augment of slip of the wheels and tractor weight,for 2WD *** case of the 4WD mode,it nonlinearly raised from 12.8 to 77.7 ***,effect of the slip and weight on the drawbar pull was found ***,the drawbar pull ranges elucidated that the drawbar pull proliferated as the 4WD mode was employed rather than the 2WD ***,benchmark of the prominent developed intelligent fuzzy system,not only provide simple calculator with the widest applicability for different tractormodels,but also produces added values in enrichment of realization level in domain of tractor drawbar pull concepts.

关键词： Drawbar power Drawbar pull Power efficiency Wheel slip Gross traction force

A review on marine collagen:sources,extraction methods,colloids properties,and food applications

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Collagen and Leather 2024年第1期6卷 1-27页

作者： Shahzad Farooq Muhammad Ijaz Ahmad Shijie Zheng Usman Ali Yang Li Cui Shixiu Hui Zhang Jiaxing Institute of Future food Jiaxing 314050China College of biosystems engineering and food Science Zhejiang Key Laboratory for Agro-Food ProcessingZhejiang UniversityHangzhou 310058China

The growing interest in valorizing industrial by-products has led researchers to focus on exploring different sources and optimizing collagen extraction conditions over the past *** bovine hide,cattle bones,pork,and pig skins remain the most abundant collagen sources,there is a growing trend in the industrial utilization of collagen from non-mammalian *** review explores alternative marine collagen sourcesand summarizes emerging trends in collagen recovery from marine sources,with a particular focus on environmentally friendly ***,this review covers the colloidal structure-forming properties of marine collagens,including foam,film,gel,and emulsion *** also highlights the potential and important applications of marine collagen in various food *** on the currently reported marine sources,collagens extracted from fish,jellyfish,and sea cucumbers were found to have the highest yield and mostly comprised type-l collagen,while crustaceans and mollusks yielded lower percentages of *** extraction techniques isolate collagen based on acetic acid and pepsin treatment,but they come with drawbacks such as being time-consuming,causing sample destruction,and using ***,marine collagen extracted using conventional methods assisted with ultrasonication resulted in higher yields and strengthened the triple-stranded helical ***,an increasing number of new applications have been found in the food industry for marine collagens,such as biodegradable film-forming materials,colloid stabilizers,foaming agents,and micro-encapsulating ***,collagen is a modern foodstuff and is extensively used in the beverage,dairy,and meat industries to increase the stability,consistency,and elasticity of products.

关键词： Marine collagen Jellyfish Sea cucumber Colloid stabilizer Edible film Dairy product

Prediction and analysis model of temperature and its application to a natural ventilation multi-span plastic greenhouse equipped with insect-proof screen

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2005年第6期6卷 523-529页

作者：刘淑珍何勇张玉宝苗香雯 school of biosystems engineering and food Science Zhejiang University Hangzhou 310029 China Department of Mechanical engineering Ningbo University of Technology Ningbo 315016 China Information engineering Department Zhejiang Textile and Fashion Vocational Technology College Ningbo 315211 China

The natural ventilation widely used in greenhouses has advantages of saving energy and reducing expense. In order to provide information for climate control of greenhouse, a model was developed to predict the variation of air temperature in the naturally ventilated greenhouse equipped with insect-proof screen. Roof ventilation and combined roof and sidewall ventilation were considered in the model. This model was validated against the results of experiments conducted in the greenhouse when the wind was parallel to the gutters. The model parameters were determined by the least squares method. In the used model, effects of wind speed and window opening height on the air temperature variation were analyzed. Comparison between two types of ventilation showed that there existed a necessary ventilation rate which results in air temperature decrease in natural ventilation under special climatic conditions. In our experiments when wind speed was less than 3.2 ms?1, wind had a more gradual effect on greenhouse temperature for roof ventilation, compared with combined roof and sidewall ventilation, which had greater air temperature decrease than roof ventilation only.

关键词： Greenhouse Natural ventilation Temperature Model