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茶多酚对人乳腺癌细胞MCF-7凋亡的影响及其机制研究（英文）

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Journal of Zhejiang University-Science B(Biomedicine & Biotechnology) 2017年第2期18卷 89-98页

作者： Shu-min LIU Shi-yi OU Hui-hua HUANG department of food Science and engineering South China University of Technology department of food Science and engineering Jinan University

目的:评估茶多酚对人乳腺癌细胞MCF-7凋亡的影响,并探讨了其作用机制。创新点:全面考察了茶多酚对抗乳腺癌的分子机制,为茶多酚作为抗肿瘤辅助药物提供理论依据。方法:首先选取不同组织来源的五种人肿瘤细胞(人肝癌细胞Hep G2、人肺癌细... 详细信息

目的:评估茶多酚对人乳腺癌细胞MCF-7凋亡的影响,并探讨了其作用机制。创新点:全面考察了茶多酚对抗乳腺癌的分子机制,为茶多酚作为抗肿瘤辅助药物提供理论依据。方法:首先选取不同组织来源的五种人肿瘤细胞(人肝癌细胞Hep G2、人肺癌细胞A549、人前列腺癌细胞PC3、人宫颈癌细胞Hela、人乳腺癌细胞MCF-7)作为体外模型,以MTT法检测茶多酚对其增殖抑制作用。然后,选用最敏感细胞MCF-7为研究对象,采用流式细胞术检测茶多酚对细胞周期分布的影响,用Hoechst 3328染色法观察茶多酚对细胞核形态的影响,用JC-1染色法观察茶多酚对细胞线粒体跨膜电位的影响,用双氯荧光素(DCFH-DA)染色法观察茶多酚对细胞活性氧(ROS)水平的影响,用凝胶电泳DNA片段测定法(DNA ladder)观察茶多酚处理后细胞DNA断裂情况,用蛋白质印迹法(Western blot)检测茶多酚对细胞凋亡关键蛋白caspase-3和caspase-9表达的影响,全面探讨了茶多酚体外抗肿瘤机制。结论:实验结果显示,茶多酚能够通过诱导细胞周期阻滞和线粒体凋亡抑制MCF-7细胞增殖。茶多酚诱导线粒体凋亡的途径是使线粒体跨膜电位下降,促使MCF-7细胞内ROS生成,促使细胞DNA断裂和促进细胞内caspase-3和caspase-9的活化。

关键词：茶多酚人乳腺癌细胞MCF-7 细胞凋亡细胞周期阻滞线粒体凋亡

Modulating of food glycemic response by lactic acid bacteria

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food Bioscience 2022年第3期47卷 1090-1097页

作者： Ceren Mutlu Cihadiye Candal-Uslu Hazal Özhanlı Sultan Arslan-Tontul Mustafa Erbas Department of Food Engineering Engineering FacultyAkdeniz University07058AntalyaTurkey Department of Food Engineering Engineering FacultyBalikesir University10145BalikesirTurkey Faculty of Health Science Nutrition and DieteticsArtvin Coruh University08100ArtvinTurkey Department of Food Engineering Agricultural FacultySelcuk University42130KonyaTurkey

There are some strategies for modulating the glycemic response of food through synthesized metabolites such as organic acids,fatty acids,sugar alcohols,bioactive peptides,and exopolysaccharides by bacteria,yeast,and/or fungi during fermentation.The different species of lactic acid bacteria (LAB) are the most important option in fermented food production because they are considered food-grade,their products can be directly used in food,their usability of a cheap and wide range of substrate,and suitable for genetic modification.They can contribute to lowering the glycemic load of nutrition through their organic acid,alcohol,polysaccharides,and vitamin production.This study aimed to review the effects of lowering the glycemic responses of foods by LAB via metabolites produced and their contribution to human well-being in this way.

关键词： Lactic acid bacteria Starch digestibility Exopolysaccharides Sugar alcohol Glycemic index Diabetes

A particle shape-based segmentation method to characterize spray dried materials by X-Ray microtomography

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Particuology 2023年第10期81卷 119-127页

作者： Nora Alina Ruprecht Heike Teichmann Reinhard Kohlus University of Hohenheim Institute of Food Science and BiotechnologyDepartment of Process Engineering and Food PowdersGarbenstr.2570599StuttgartGermany

For accurate description of particle structure,single particle properties are required so that the properties of interest can be expressed as distributed parameters.X-Ray microtomography of the powder bed with subsequent particle separation can be used for this purpose.In this paper,a new algorithm for X-Ray microtomography images of spray dried particles was introduced since standard methods tend to fail if the particle size distribution is broad.The algorithm is based on 2D shape classification and subsequent 3D reconstitution of the particle using only a shape classifier as free parameter.The proposed algorithm was validated successfully.Using the algorithm,single particle porosities were obtained,which ranged from 0 to 70%.Prerequisites for the application of the algorithm are that a shape classifier can be set and that the 3D shape is regular.

关键词： Spray drying Particle structure X-Ray microtomography Segmentation algorithm Porosity distribution

Polyphenol components in black chokeberry(Aronia melanocarpa)as clinically proven diseases control factors——an overview

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food Science and Human Wellness 2024年第3期13卷 1152-1167页

作者： Ningxuan Gao Chi Shu Yuehua Wang Jinlong Tian Yuxi Lang Chenyu Jin Xingyue Cui Hanqian Jiang Shi’an Liu Zhiying Li Wei Chen Hao Xu Bin Li department of food Science College of FoodShenyang Agricultural UniversityShenyang 110161China department of food Science and Nutrition College of Biosystems Engineering and Food ScienceZhejiang UniversityHangzhou 310058China Chaoyang Beihe food Co. Ltd.Chaoyang 122100China

The black chokeberry is rich in polyphenols,including flavonoids with anthocyanins,flavanols and lavonols as the main components and a variety of phenolic acids represented by chlorogenic acid.Because of these polyphenols,black chokeberry has the effect of preventing and adjuvant therapy diseases.This study summarized the current research results on the types and contents of functional components in black chokeberry,and analyzed their digestion,absorption and metabolism in human body.On this basis,the disease control functions that have been proved effective in clinical research were reviewed and analyzed.These studies showed that black chokeberry have good prevention and adjuvant therapy effects on hyperlipidemia,hypertension,diabetes and inflammation.Because there are different functional components in black chokeberry,its prevention and treatment of the same disease can come from multiple pathways,which provides a more reliable effectiveness for the disease control of different populations.

关键词： Black chokeberry Hyperlipidemia Hypertension Diabetes Inflammation

Rapid quantification of acid value in frying oil using iron tetraphenylporphyrin fluorescent sensor coupled with density functional theory and multivariate analysis

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food Quality and Safety 2022年第4期6卷 534-544页

作者：顾海洋董艺凝吕日琴黄星奕陈全胜 department of Biological and Chemical engineering Yangzhou Polytechnic CollegeYangzhouChina School of Bio and food engineering Chuzhou UniversityChuzhouChina School of food and Biological engineering Jiangsu UniversityZhenjiangChina

A metalloporphyrin-based fluorescent sensor was developed to determine the acid value in frying oil.The electronic and structural performances of iron tetraphenylporphyrin(FeTPP)were theoretically investigated using time-dependent density functional theory and density functional theory at the B3LYP/LANL2DZ level.The quantified FeTPP-based fluorescent sensor results revealed its excellent performance in discriminating different analytes.In the present work,the acid value of palm olein was determined after every single frying cycle.A total of 10 frying cycles were conducted each day for 10 consecutive days.The FeTPP-based fluorescent sensor was used to quantify the acid value,and the results were compared with the chemical data obtained by conventional titration method.The synchronous fluorescence spectrum for each sample was recorded.Parallel factor analysis was used to decompose the three-dimensional spectrum data.Then,the support vector regression(SVR),partial least squares,and back-propagation artificial neural network methods were applied to build the regression models.After the comparison of the constructed models,the SVR models exhibited the highest correlation coefficients among all models,with 0.9748 and 0.9276 for the training and test sets,respectively.The findings suggested the potential of FeTPP-based fluorescent sensor in rapid monitoring of frying oil quality and perhaps also in other foods with higher oil contents.

关键词： Synchronous fluorescence spectrum fluorescent sensor oil quality density functional theory parallel factor analysis

Papaya peel waste carbon dots/reduced graphene oxide nanocomposite:From photocatalytic decomposition of methylene blue to antimicrobial activity

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生物质资源与工程(英文) 2023年第2期8卷 162-175页

作者： Hesam Salimi Shahraki Rani Bushra Nimra Shakeel Anees Ahmad Quratulen Mehraj Ahmad Christos Ritzoulis department of food Science and Technology International Hellenic UniversityThessaloniki 57400Greece department of Chemistry Aligarh Muslim UniversityAligarh 202002India department of food Science and engineering College of Light Industry and FoodNanjing Forestry UniversityNanjing 210037China

Carbon dots(CDs)have gained unprecedented attention as a novel luminescent zero-dimensional carbon nanomaterial owing to their diverse industrial applications.Herein,we reported the sus-tainable synthesis of fluorescent CDs from papaya peel waste,acting as a natural carbon orig-inator.As-prepared CDs and reduced graphene oxide(RGO)were fabricated in the composites through a facile one-step hydrothermal method.Synthesized RGO/CDs(RC)nanocomposites were characterized using spectroscopic,diffraction,and electron-microscopic ***-posites with variable RGO to CD mass ratios were tested for photodegradation of textile dye methylene blue(MB).The highest photocatalytic activity(degradation efficiency of 87%in 135 min)was obtained in the nanocomposite containing a 2꞉1 mass ratio(RC2).The RGO sheets in the nanocomposite acted as media for electron acceptors,promoting the fast transfer and sep-aration of photoinduced electrons during CDs excitation,thus preventing the recombination of the electron and holes.Based on the agar well diffusion assay,the nanocomposites exhibited ex-cellent antibacterial activity than other tested materials against Bacillus subtilis(Gram-positive)and Pseudomonas aeruginosa(Gram-negative)bacterium.The largest inhibition zone area(22 mm),i.e.,the highest antimicrobial activity,was obtained in the nanocomposite tested against Gram-positive strains.Taken together,the synergistic effect of RGO and CDs enhanced the pho-tocatalytic and antibacterial performance of synthesized nanocomposite material.

关键词： Nanocomposite Carbon dot Hydrothermal method Photocatalysis Antibacterial activity

Identification of novel bioactive proanthocyanidins with potent antioxidant and anti-proliferative activities from kiwifruit leaves

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food Bioscience 2022年第2期46卷 539-549页

作者： Ji-Min Lv Mostafa Gouda Alaa El-Din Bekhit Ya-Ke He Xing-Qian Ye Jian-Chu 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 UniversityHangzhou310058China department of Nutrition and food Science National Research CentreDokki12622GizaEgypt department of food Science University of OtagoOtagoNew Zealand

Agro-wastes contribute major social,economic,and environmental challenges for food production and circular economy systems.The current increasing demand for clean label food production and use of natural bioactive compounds could turn these challenges into opportunities providing avenues for proper utilization of agro-wastes to produce valuable products.This study aimed to investigate the potential use of kiwifruit(Actinidia chinensis)leaves as a source of proanthocyanidins(PAs)bioactive phenolic phytochemicals.Kiwifruit leaves PAs were extracted,purified,identified,and evaluated for their antioxidant and anti-proliferative activities.The structural composition of the purified PAs was characterized using HPLC-QTOF-MS/MS and MALDI-TOF-MS.The results showed that purified kiwifruit leaves PAs(PKLPs)comprised mainly procyanidins,propelargonidins,and prodelphindins ranging from dimers to hexamers with(epi)catechin as terminal units and(epi)afzelechin or(epi)gallocatechin as dominant extension units.This study reports the structure of novel PKLPs monomer fractions was unique compared to the PAs that extracted from the other plant sources.The PKLPs exhibited higher phenolic content than the skin and flesh of several kiwifruit cultivars.Moreover,the PKLPs exhibited higher in vitro antioxidant activity in chemical-based(DPPH,ABTS,and FRAP)assays and H2O2-induced injury cell model than ascorbic,Trolox,and catechin(pfood and pharmaceutical industries.

关键词： Proanthocyanidins Agro-waste valorisation HPLC-QTOF-MS/MS Antioxidant potential Anti-proliferative activity

Potential biotherapeutic properties of lactic acid bacteria in foods

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food Bioscience 2022年第2期46卷 942-950页

作者： Zerrin Erginkaya Gozde Konuray-Altun Cukurova University Faculty of AgricultureDepartment of Food Engineering01330AdanaTurkey

Today,the use of microorganisms to produce substances that can be consumable,used as a food ingredient and have a positive effect on consumer health is attracting attention and studies in this field are increasing.Besides,the therapeutic products produced by lactic acid bacteria(LAB)can be used in the food and pharmaceutical industry to create desirable characteristics of foods.In addition to the positive effects of LAB,probiotics and synbiotics have been known for many years,many studies examining postbiotics and paraprobiotics have attracted attention in recent years.The therapeutic products obtained from different LAB may have different properties and should be investigated widely.In this paper,the biotherapeutic substances produced by LAB and their effects on health are summarized.

关键词： Biotherapeutic Lactic acid bacteria Paraprobiotic Postbiotic Probiotic Synbiotic

Lightweight convolutional neural network models for semanticsegmentation of in-field cotton bolls

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Artificial Intelligence in Agriculture 2023年第2期8卷 1-19页

作者： Naseeb Singh V.K.Tewari P.K.Biswas L.K.Dhruw department of Agricultural and food engineering IIT KharagpurKharagpur 721302India department of Electronics and Electrical Communication engineering IIT KharagpurKharagpur 721302India

Robotic harvesting of cotton bolls will incorporate the benefits of manual picking as well as mechanical harvesting. For robotic harvesting, in-field cotton segmentation with minimal errors is desirable which is a challengingtask. In the present study, three lightweight fully convolutional neural network models were developed for thesemantic segmentation of in-field cotton bolls. Model 1 does not include any residual or skip connections,while model 2 consists of residual connections to tackle the vanishing gradient problem and skip connectionsfor feature concatenation. Model 3 along with residual and skip connections, consists of filters of multiplesizes. The effects of filter size and the dropout rate were studied. All proposed models segment the cotton bollssuccessfully with the cotton-IoU (intersection-over-union) value of above 88.0%. The highest cotton-IoU of91.03% was achieved by model 2. The proposed models achieved F1-score and pixel accuracy values greaterthan 95.0% and 98.0%, respectively. The developed models were compared with existing state-of-the-art networks namely VGG19, ResNet18, EfficientNet-B1, and InceptionV3. Despite having a limited number of trainableparameters, the proposed models achieved mean-IoU (mean intersection-over-union) of 93.84%, 94.15%, and94.65% against the mean-IoU values of 95.39%, 96.54%, 96.40%, and 96.37% obtained using state-of-the-art networks. The segmentation time for the developed models was reduced up to 52.0% compared to state-of-theart networks. The developed lightweight models segmented the in-field cotton bolls comparatively faster andwith greater accuracy. Hence, developed models can be deployed to cotton harvesting robots for real-time recognition of in-field cotton bolls for harvesting.

关键词： Cotton Semantic segmentation Convolutional neural network Robotic harvesting Image segmentation Deep learning