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The endogenous antioxidant ability of royal jelly in Drosophila is independent of Keap1/Nrf2 by activating oxidoreductase activity

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Insect Science 2024年第2期31卷 503-523页

作者： Dongjing Wen Jiayu Xie Yao Yuan Lirong Shen Yufeng Yang Wenfeng Chen Institute of Life Sciences College of Biological Science and EngineeringFuzhou UniversityFuzhouChina school of Medicine Chongqing UniversityChongqingChina College of biosystems engineering and food Science Zhejiang UniversityHangzhouChina

Royal jelly(RJ)is a biologically active substance secreted by the hypopharyngeal and mandibular glands of worker honeybees.It is widely claimed that RJ reduces oxidative stress.However,the antioxidant activity of RJ has mostly been determined by in vitro chemical detection methods or by external administration drugs that cause oxidative stress.Whether RJ can clear the endogenous production of reactive oxygen species(ROS)in cells remains largely unknown.Here,we systematically investigated the antioxidant properties of RJ using several endogenous oxidative stress models of Drosophila.We found that RJ enhanced sleep quality of aging Drosophila,which is decreased due to an increase of oxidative damage with age.RJ supplementation improved survival and suppressed ROS levels in gut cells of flies upon exposure to hydrogen peroxide or to the neurotoxic agent paraquat.Moreover,RJ supplementation moderated levels of ROS in endogenous gut cells and extended lifespan after exposure of flies to heat stress.Sleep deprivation leads to accumulation of ROS in the gut cells,and RJ attenuated the consequences of oxidative stress caused by sleep loss and prolonged lifespan.Mechanistically,RJ prevented cell oxidative damage caused by heat stress or sleep deprivation,with the antioxidant activity in vivo independent of Keap1/Nrf2 signaling.RJ supplementation activated oxidoreductase activity in the guts of flies,suggesting its ability to inhibit endogenous oxidative stress and maintain health,possibly in humans.

关键词： antioxidant biological oxidations Drosophila oxidative stress royal jelly sleep loss

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Preparation and characterization of pH-responsive metal-polyphenol structure coated nanoparticles

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food Science and Human Wellness 2024年第3期13卷 1303-1310页

作者： Qile Xia Yan Liang Ailing Cao Yan Cao Luyun Cai Key Laboratory of Post-Harvest Handling of Fruits Food Science InstituteZhejiang Academy of Agricultural SciencesHangzhou 310021China Ningbo Research Institute College of Biosystems Engineering and Food ScienceZhejiang UniversityNingbo 315100China school of Biological and Chemical engineering Zhejiang Engineering Research Center for Intelligent Marine Ranch EquipmentNingboTech UniversityNingbo 315100China College of food Science and engineering Bohai UniversityJinzhou 121013China Hangzhou Customs District Hangzhou 310007China

In this paper,tannic acid(TA)and Fe~(3+)were added to form a layer of metal-polyphenol network structure on the surface of the nanoparticles which were fabricated by zein and carbon quantum dots(CQDs)encapsulating phlorotannins(PTN).pH-Responsive nanoparticles were prepared successfully(zein-PTN-CQDs-Fe-~Ⅲ).Further,the formation of composite nanoparticles was confirmed by a series of characterization methods.The zeta-potential and Fourier transform infrared spectroscopy data proved that electrostatic interaction and hydrogen bonding are dominant forces to form nanoparticles.The encapsulation efficiency(EE)revealed that metal-polyphenol network structure could improve the EE of PTN.Thermogravimetric analysis and differential scanning calorimetry experiment indicated the thermal stability of zein-PTN-CQDs-Fe~Ⅲnanoparticles increased because of metal-polyphenol network structure.The pH-responsive nanoparticles greatly increased the release rate of active substances and achieved targeted release.

关键词： Metal Phlorotannins Nanoparticles pH-Responsive Characterization

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Effects of prebiotics on the fermentation of traditional suancai of Northeast China

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food Science and Human Wellness 2024年第3期13卷 1358-1367页

作者： Mingwei Zhao Xinying Cao Yuzheng Wu Sibo Zou Zhigao Li Xinping Lin Chaofan Ji Liang Dong Sufang Zhang Chenxu Yu Huipeng Liang National engineering Research Center of Seafood Collaborative Innovation Center of Provincial and Ministerial Co-construction for Deep ProcessingCollaborative Innovation Center of Seafood Deep ProcessingSchool of Food Science and TechnologyDalian Polytechnic UniversityDalian 116034China Department of Agricultural and biosystems engineering Iowa State UniversityIA 50011USA

Suancai is a traditional fermented vegetable widely consumed in Northeast China.In this study,different prebiotics were used to improve the quality of suancai.Four prebiotics(inulin(INU),xylooligosaccharide(XO S),galactooligosaccharide(GOS),and stachyose(STA))were shown to reduce the pH value and increase the content of total titratable acidity(TTA)in suancai,while the contents of most organic acids were also increased.The addition of prebiotics had significant effects on the bacterial microbiota during the suancai fermentation process.All prebiotics were shown to contribute to the growth of Lactobacillus.The suancai sample with fructooligosaccharides(FOS)had the highest relative abundance of Lactobacillus.Besides,INU and XOS could increase the abundance of Weissella.To evaluate the quality of suancai fermented with prebiotics,profiles of volatile flavor compounds(VOCs)and free amino acids(FAA)were analyzed.The prebiotics affected the VOCs and FAA profiles via transforming the bacterial microbiota.In addition,the addition of prebiotics also changed the taste profiles of the suancai samples.This study is among the first attempts to reveal the effects of different prebiotics on suancai fermentation,and the findings provide a foundation to develop new ways for improving the quality of suancai.

关键词： Bacterial microbiota Lactic acid bacteria Flavor Amino acid Taste

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Phosphatidylcholine protects against the hepatotoxicity of acrylamide via maintaining metabolic homeostasis of glutathione and glycerophospholipid

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food Science and Human Wellness 2024年

作者： Yaoran Li Wei Jia Yiju Zhang Yong Wu Li Zhu Jingjing Jiao Yu Zhang Department of Gastroenterology the First Affiliated Hospital Zhejiang University school of Medicine Zhejiang Key Laboratory for Agro-food Processing College of biosystems engineering and food Science Zhejiang University Department of Gastroenterology the First Affiliated Hospital Zhejiang University school of Medicine Zhejiang Key Laboratory for Agro-food Processing College of biosystems engineering and food Science Zhejiang University College of food Science and Technology Yunnan Agricultural University College of Chemistry and Life Sciences Sichuan Provincial Key Laboratory for Development and Utilization of Characteristic Horticultural Biological Resources Chengdu Normal University Department of Nutrition school of Public Health Department of Clinical Nutrition of Affiliated Second Hospital Zhejiang University school of Medicine

Acrylamide is classified as a Class 2A carcinogen and mainly metabolized to produce hepatotoxicity. Phosphatidylcholine is thought to protect the liver from damage， but the protective role of phosphatidylcholine on acrylamide-exposed metabolic disorders remains unclear. We investigated protective effect of phosphatidylcholine on the hepatic metabolism in rats exposed to acrylamide using metabolomics and molecular biology approaches. Overall， 32 endogenous effect biomarkers and 4 exposure biomarkers were identified as differential signature metabolites responsible for acrylamide exposure and phosphatidylcholine protection. Acrylamide exposure interferes with glutathione metabolism by consuming antioxidant glutathione， cysteine and L-ascorbic acid， and disrupts lipid and carbohydrate metabolism through reducing carnitine content and increasing lipid peroxidation. The phosphatidylcholine treatment reduces the expression of cytochrome P450 2E1， alleviates the oxidative stress and inflammation of the liver， and stabilizes the content of glutathione， and thus alleviates the disorder of glutathione. Meanwhile， phosphatidylcholine shifted acrylamide-induced phosphatidylcholine into lysophosphatidylcholine to storage from lysophosphatidylcholine to diacylglycerol， thereby maintaining metabolic homeostasis of glycerophospholipid. The results suggested that phosphatidylcholine supplementation alleviate the disorder of glutathione and lipid metabolism caused by acrylamide exposure， but not significantly change the levels of mercapturic acid adducts of acrylamide， providing the evidence for phosphatidylcholine protection against acrylamide-induced liver injury.

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External defects and severity level evaluation of potato using single and multispectral imaging in near infrared region Author links open overlay panel

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Information Processing in Agriculture 2024年第1期11卷 80-90页

作者： Dimas Firmanda Al Riza Slamet Widodo Kazuya Yamamoto Kazunori Ninomiya Tetsuhito Suzuki Yuichi Ogawa Naoshi Kondo Laboratory of Biosensing engineering Graduate School of AgricultureKyoto UniversityKitashirakawaKyoto 6068267Japan Department of biosystems engineering Faculty of Agricultural TechnologyUniversitas BrawijayaJl.VeteranMalang 65145Indonesia Department of Mechanical and Biosystem engineering Bogor Agricultural UniversityJl.Raya Darmaga Kampus IPB DarmagaBogor 16680Indonesia Technology Development Department Shibuya Seiki Co.Ltd.66Takaoka-choMatsuyamaEhime 7918036Japan

Non-invasive potato defects detection has been demanded for sorting and grading purpose.Researches on the classification of the defects has been available,however,investigation on the severity level calculation is limited.For the detection of the common scab,it has been found that imaging in the infrared region provide an interesting characteristic that could distinguish defected area to normal area.Thus,investigations on this wavelength range is interesting to add more knowledge and for applications.In this research,the multispectral image has been obtained and investigated especially at three wavelengths(950,1150,1600 nm).Image pre-processing and pseudo-color conversion techniques were explored to enhance the contrast between defects,normal background skin area and soil deposits.Results show that external defects,such as common scab and some mechanical damage types,appear brighter in the near infrared region,especially at 1600 nm against the normal skin background.It has been found that pseudo-color images conversion provides more information regarding type if surface characteristics compared to grayscale single imaging.Image segmentation using pseudo-color images after multiplication operation pre-processing could be used for common scab and mechanical damage detection excluding soil deposits with a Dice Sorensen coefficient of 0.64.In addition,image segmentation using single image at 1600 nm shown relatively better results with Dice Sorensen coefficient of 0.72 with note that thick soil deposits will also be segmented.Defect severity level evaluation had an R2 correlation of 0.84 against standard measurements of severity.

关键词： Multispectral imaging Pseudo-color Common scab External defects Near infrared

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Alleviative effects of a novel strain Bacillus coagulans XY2 on copper-induced toxicity in zebrafish larvae

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Journal of Environmental Sciences 2023年第3期125卷 750-760页

作者： Fang Ai Xuedi Huang Yalan Wu Chen Ji Yufang Gao Ting Yu Fujie Yan National engineering Laboratory of Intelligent food Technology and Equipment College of Biosystems Engineering and Food ScienceZhejiang UniversityHangzhou 310058China

Copper (Cu) is a kind of micronutrient element that is essential for human metabolism.However,it is also considered as an environmental pollutant which is toxic to organisms at a high concentration level.Probiotics,regarded as beneficial microorganisms for promoting human health,have functions of antioxidant capacity,immune-enhancing properties,intestinal barrier protection and regulation.Several studies have reported that probiotics show positive effects on alleviating and intervening heavy metals toxicity.However,evidence for relieving copper-induced toxicity by probiotics is still limited.In this study,we firstly conducted a zebrafish larvae model to screen out microorganisms which are helpful for CuSO_(4)toxicity resistance and one novel strain named as Bacillus coagulans XY2 was discovered with the best protective activity.B.coagulans XY2 significantly reduced the mortality of zebrafish larvae exposed to 10μmol/L CuSO_(4)for 96 hr,as well as alleviated the neutrophils infiltration in the larvae lateral line under a 2 hr exposure.B.coagulans XY2 exhibited a high in vitro antioxidant activity and against CuSO_(4)-induced oxidative stress in zebrafish larvae by up-regulating sod1,gstp1 and cat gene transcriptional levels and relevant enzymatic activities.CuSO_(4)stimulated the inflammation process resulting in obvious increases of gene il-1βand il-10 transcription,which were suppressed by B.coagulans XY2 intervention.Overall,our results underline the bio-function of B.coagulans XY2 on protecting zebrafish larvae from copper toxicity,suggesting the potential application values of probiotics in copper toxicity alleviation on human and the environment.

关键词： Copper Probiotics Bacillus coagulans Oxidative stress Inflammation

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Effects of lactic acid bacteria fermentation on the bioactive composition,volatile compounds and antioxidant activity of Huyou(Citrus aurantium'Changshan-huyou')peel and pomace

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food Quality and Safety 2023年第2期7卷 317-329页

作者： Yake He Yanyun Zhu Jimin Lvi Ye Gu Ting Wang Jianchu Chen College of biosystems engineering and food Science National-Local Joint Engineering Laboratory of Intelligent Food Technology and EquipmentZhejiang Key Laboratory for Agro-Food ProcessingZhejiang Engineering Laboratory of Food Technology and EquipmentZhejiang UniversityHangzhouChina school of Automation Hangzhou Dianzi UniversityHangzhouChina

Using lactic acid bacteria(LAB)to ferment Huyou peel and pomace could provide a reference for making full use of Huyou resources and provide valuable suggestions for the industrial production of functional foods.The effects of LAB fermentation on the bioactive composition,volatile compounds and antioxidant activity of Huyou peel and pomace were studied.Results showed that both Huyou peel and pomace were good substrates for LAB growth.LAB had remarkable influence on bioconversion of organic acids,among which ascorbic acid content was increased significantly.In addition,LAB could produce flavonoids with enhanced bioactivity and absorption.In particular,the contents of rhoifolin,quercitrin and quercetin were increased by over 100%.Besides,the volatile compounds contents and aroma complexity were improved.Furthermore,the antioxidant activity was enhanced.Thus,our study provides high-value applications of Huyou,and fermented products with improved nutritional value and flavor are potentially beneficial to human health.

关键词： Lactic acid bacteria,Huyou peel Huyou pomace bioactive composition volatile compounds

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A survey of high resolution image processing techniques for cereal crop growth monitoring

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Information Processing in Agriculture 2022年第2期9卷 300-315页

作者： Sanaz Rasti Chris J.Bleakley N.M.Holden Rebecca Whetton David Langton Gregory O’Hare school of Computer Science University College DublinDublinIreland school of Agriculture and food Science University College DublinDublinIreland school of biosystems and food engineering University College DublinDublinIreland Origin Enterprises plc DublinIreland

This paper presents a survey of image processing techniques proposed in the literature forextracting key cereal crop growth metrics from high spatial resolution, typically proximalimages. The descriptive crop growth metrics considered are: crop canopy cover, aboveground biomass, leaf area index (including green area index), chlorophyll content, andgrowth stage. The paper includes an overview of relevant fundamental image processingtechniques including camera types, colour spaces, colour indexes, and image segmentation. The descriptive crop growth metrics are defined. Reference methods for groundtruth measurement are described. Image processing methods for metric estimation aredescribed in detail. The performance of the methods is reviewed and compared. The surveyreveals limitations in image processing techniques for cereal crop monitoring such as lackof robustness to lighting conditions, camera position, and self-obstruction. Directions forfuture research to improve performance are identified.

关键词： Crop canopy cover Above ground biomass Leaf area index Chlorophyll content Growth stage Cereal image processing

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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 process.The weight prediction of shelled shrimp by contour area is not accurate enough because of the ignorance of the shrimp thickness.In 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 extracting.The model was further validated with another set of images from 30 shelled shrimps.For a comparison purpose,artificial neural network(ANN) was used for the shrimp weight predication.The 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：预测模型虾仁机器视觉体重炮击人工神经网络模型平均增长率长度计算

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Phenotypic Analysis of Diseased Plant Leaves Using Supervised and Weakly Supervised Deep Learning

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Plant Phenomics 2023年第2期5卷 139-148页

作者： Lei Zhou Qinlin Xiao Mohanmed Farag Taha Chengjia Xu Chu Zhang College of Mechanical and Electronic engineering Nanjing Forestry UniversityNanjingChina College of biosystems engineering and food Science Zhejiang UniversityZhejiangChina Department of Soil and Water Sciences Faculty of Environmental Agricultural SciencesArish UniversityNorth Sinai45516Egypt school of Information engineering Huzhou UniversityHuzhouChina

Deep learning and computer vision have become emerging tools for diseased plant phenotyping.Most previous studies focused on image-level disease classification.In this paper,pixel-level phenotypic feature(the distribution of spot)was analyzed by deep learning.Primarily,a diseased leaf dataset was collected and the corresponding pixel-level annotation was contributed.A dataset of apple leaves samples was used for training and optimization.Another set of grape and strawberry leaf samples was used as an extra testing dataset.Then,supervised convolutional neural networks were adopted for semantic segmentation.Moreover,the possibility of weakly supervised models for disease spot segmentation was also explored.Grad-CAM combined with ResNet-50(ResNet-CAM),and that combined with a few-shot pretrained U-Net classifier for weakly supervised leaf spot segmentation(WSLSS),was designed.They were trained using image-level annotations(healthy versus diseased)to reduce the cost of annotation work.Results showed that the supervised DeepLab achieved the best performance(IoU=0.829)on the apple leaf dataset.The weakly supervised WSLSS achieved an IoU of 0.434.When processing the extra testing dataset,WSLSS realized the best IoU of 0.511,which was even higher than fully supervised DeepLab(IoU=0.458).Although there was a certain gap in IoU between the supervised models and weakly supervised ones,WSLSS showed stronger generalization ability than supervised models when processing the disease types not involved in the training procedure.Furthermore,the contributed dataset in this paper could help researchers get a quick start on designing their new segmentation methods in future studies.

关键词： Deep computer weakly

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