Grape crops are a great source of income for farmers.The yield and quality of grapes can be improved by preventing and treating diseases.The farmer’s yield will be dramatically impacted if diseases are found on grape...Grape crops are a great source of income for farmers.The yield and quality of grapes can be improved by preventing and treating diseases.The farmer’s yield will be dramatically impacted if diseases are found on grape leaves.Automatic detection can reduce the chances of leaf diseases affecting other healthy plants.Several studies have been conducted to detect grape leaf diseases,but most fail to engage with end users and integrate the model with real-time mobile applications.This study developed a mobile-based grape leaf disease detection(GLDD)application to identify infected leaves,Grape Guard,based on a TensorFlow Lite(TFLite)model generated from the You Only Look Once(YOLO)v8 model.A public grape leaf disease dataset containing four classes was used to train the model.The results of this study were relied on the YOLO architecture,specifically YOLOv5 and YOLOv8.After extensive experiments with different image sizes,YOLOv8 performed better than YOLOv5.YOLOv8 achieved 99.9%precision,100%recall,99.5%mean average precision(mAP),and 88%mAP50-95 for all classes to detect grape leaf diseases.The Grape Guard android mobile application can accurately detect the grape leaf disease by capturing images from grape vines.展开更多
Moringa oleifera Lam.is a Moringa genus in the Moringaceae family that is high in nutrients and has a wide range of applications.Phenolic compounds are widely found in plants and have various health benefits for the h...Moringa oleifera Lam.is a Moringa genus in the Moringaceae family that is high in nutrients and has a wide range of applications.Phenolic compounds are widely found in plants and have various health benefits for the human body.With its high content and wide variety of phenolic compounds,M.oleifera Lam.has been widely studied for its health benefits.The phenolic compounds in M.oleifera Lam.(MOPCs)can be a potential source of functional food ingredients in pharmaceutical and industrial applications.Numerous studies have shown that MOPCs have antioxidant,anti-obesity,anti-diabetic,and antibacterial effects.Although the research on MOPCs has been gradually increasing,the extraction,isolation,identification,biological activities,and comprehensive application of MOPCs need a more systematic summary and generalization.Therefore,this paper reviews the isolation and extraction methods,structure identification,biological activities,and comprehensive applications to provide a further reference for the research and application of MOPCs.展开更多
Lonicera japonica(honeysuckle)is a traditional Chinese medicinal food,in which the main active ingredients are phenolic acids,polysaccharides,flavonoids,and volatile oils.They have various biological activities,includ...Lonicera japonica(honeysuckle)is a traditional Chinese medicinal food,in which the main active ingredients are phenolic acids,polysaccharides,flavonoids,and volatile oils.They have various biological activities,including antiviral,antibacterial,antioxidant,hypoglycemic and lipid-lowering,and anti-inflammatory effects.This review summarizes the health effects and pharmacodynamic mechanisms of L.japonica extracts and the major active ingredients in these extracts,and the structures,metabolic process in vivo,and biotransformation processes of these compounds.In addition,the current status of the development of L.japonica-related functional foods is summarized.The aim is to provide a theoretical basis and reference for the further development and use of the active ingredients in L.japonica as functional foods for disease prevention and treatment.展开更多
Atomically precise metal nanoclusters are an emerging type of nanomaterial which has diverse interfacial metal-ligand coordination motifs that can significantly affect their physicochemical properties and functionalit...Atomically precise metal nanoclusters are an emerging type of nanomaterial which has diverse interfacial metal-ligand coordination motifs that can significantly affect their physicochemical properties and functionalities.Among that,Cu nanoclusters have been gaining continuous increasing research attentions,thanks to the low cost,diversified structures,and superior catalytic performance for various reactions.In this review,we first summarize the recent progress regarding the synthetic methods of atomically precise Cu nanoclusters and the coordination modes between Cu and several typical ligands and then discuss the catalytic applications of these Cu nanoclusters with some explicit examples to explain the atomical-level structure-performance relationship.Finally,the current challenges and future research perspectives with some critical thoughts are elaborated.We hope this review can not only provide a whole picture of the current advances regarding the synthesis and catalytic applications of atomically precise Cu nanoclusters,but also points out some future research visions in this rapidly booming field.展开更多
文摘Grape crops are a great source of income for farmers.The yield and quality of grapes can be improved by preventing and treating diseases.The farmer’s yield will be dramatically impacted if diseases are found on grape leaves.Automatic detection can reduce the chances of leaf diseases affecting other healthy plants.Several studies have been conducted to detect grape leaf diseases,but most fail to engage with end users and integrate the model with real-time mobile applications.This study developed a mobile-based grape leaf disease detection(GLDD)application to identify infected leaves,Grape Guard,based on a TensorFlow Lite(TFLite)model generated from the You Only Look Once(YOLO)v8 model.A public grape leaf disease dataset containing four classes was used to train the model.The results of this study were relied on the YOLO architecture,specifically YOLOv5 and YOLOv8.After extensive experiments with different image sizes,YOLOv8 performed better than YOLOv5.YOLOv8 achieved 99.9%precision,100%recall,99.5%mean average precision(mAP),and 88%mAP50-95 for all classes to detect grape leaf diseases.The Grape Guard android mobile application can accurately detect the grape leaf disease by capturing images from grape vines.
基金supported by Major Project of Science and Technology Department of Yunnan Province(202002AA100005,202102AE090027-2)National Natural Science Foundation of China(82260703)+1 种基金Cassava Industrial Technology System of China(CARS11-YNTY)Yunnan Province Ten Thousand Plan Industrial Technology Talents Project(YNWR-CYJS-2020-010)。
文摘Moringa oleifera Lam.is a Moringa genus in the Moringaceae family that is high in nutrients and has a wide range of applications.Phenolic compounds are widely found in plants and have various health benefits for the human body.With its high content and wide variety of phenolic compounds,M.oleifera Lam.has been widely studied for its health benefits.The phenolic compounds in M.oleifera Lam.(MOPCs)can be a potential source of functional food ingredients in pharmaceutical and industrial applications.Numerous studies have shown that MOPCs have antioxidant,anti-obesity,anti-diabetic,and antibacterial effects.Although the research on MOPCs has been gradually increasing,the extraction,isolation,identification,biological activities,and comprehensive application of MOPCs need a more systematic summary and generalization.Therefore,this paper reviews the isolation and extraction methods,structure identification,biological activities,and comprehensive applications to provide a further reference for the research and application of MOPCs.
基金supports from the National Natural Science Foundation of China(82130112,U24A20789)Beijing Hospitals Authority Ascent Plan(DFL20190702)Youth Beijing Scholar(2022-051)。
文摘Lonicera japonica(honeysuckle)is a traditional Chinese medicinal food,in which the main active ingredients are phenolic acids,polysaccharides,flavonoids,and volatile oils.They have various biological activities,including antiviral,antibacterial,antioxidant,hypoglycemic and lipid-lowering,and anti-inflammatory effects.This review summarizes the health effects and pharmacodynamic mechanisms of L.japonica extracts and the major active ingredients in these extracts,and the structures,metabolic process in vivo,and biotransformation processes of these compounds.In addition,the current status of the development of L.japonica-related functional foods is summarized.The aim is to provide a theoretical basis and reference for the further development and use of the active ingredients in L.japonica as functional foods for disease prevention and treatment.
基金supported by the open funds of Key Laboratory of Functional Inorganic Material Chemistry (Heilongjiang University), Ministry of Education, Chinathe funding from Guangdong Natural Science Funds (No. 2023A0505050107)。
文摘Atomically precise metal nanoclusters are an emerging type of nanomaterial which has diverse interfacial metal-ligand coordination motifs that can significantly affect their physicochemical properties and functionalities.Among that,Cu nanoclusters have been gaining continuous increasing research attentions,thanks to the low cost,diversified structures,and superior catalytic performance for various reactions.In this review,we first summarize the recent progress regarding the synthetic methods of atomically precise Cu nanoclusters and the coordination modes between Cu and several typical ligands and then discuss the catalytic applications of these Cu nanoclusters with some explicit examples to explain the atomical-level structure-performance relationship.Finally,the current challenges and future research perspectives with some critical thoughts are elaborated.We hope this review can not only provide a whole picture of the current advances regarding the synthesis and catalytic applications of atomically precise Cu nanoclusters,but also points out some future research visions in this rapidly booming field.
