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Review of Electrochemical Sensors and Biosensors Based on First-Row Transition Metals,Their Oxides,and Noble Metals Nanoparticles

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Journal of Analysis and Testing 2024年第2期8卷 143-159页

作者： Kulveer Singh Kuldeep Kumar Maurya manisha Malviya Department of Chemistry Indian Institute of Technology(Banaras Hindu University)Varanasi221005India

The use of electrochemical sensors for sensitive disease diagnosis and detecting various species with pharmacological,therapeutic,industrial,food-related,and environmental origins is now widely accepted.A catalytic or binding event resulting from the sensor’s electroactive component recognizing its analyte creates an electrical signal proportionate to the analyte concentration,which is then monitored by a *** development of morphologically distinct metal and metal oxide nanoparticles formed from first-row transition elements(Mn,Cr,Fe,Co,Ti,Ni,Cu,Zn)and noble metals(Pt,Au,Ag,Pd)is described in this *** effect of these metal nanoparticles has been studied using Tetracyanoquinodimethane(TCNQ),Ferrocene,and other organic compounds as electroactive species using carbon paste-modified *** sensors,mostly based on ferrocene,are exceedingly sensitive,selective,affordable,and for detecting numerous biomolecules like glucose,dopamine,NADH,ascorbic acid,and a few dyes and are simple to *** recent decades,charge transfer organic species-based chemosensors have become a prominent study *** paper outlines current developments in electrochemical biosensors based on transition metal nanoparticles,covering glucose,ascorbic acid,uric acid,and other inorganic and organic *** importance of transition metal and transition metal oxide nanoparticles as potential electrode modifiers for developing sensors is highlighted.A discussion of the present problem and possible solutions,and plausible future directions marks the review’s conclusion.

关键词： Electrochemical sensing Amperometry Cyclic voltammetry Square wave voltammetry Linear sweep voltammetry

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Random Amplification Polymorphic DNA and Agro-Morphological Traits-Based Fingerprinting for Detection of Genetic Divergence in Indian Black Rice

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Rice science 2024年第4期31卷 366-370,I0004-I0014页

作者： manisha SHARMA Dhananjay RATURI Vijay Rani RAJPAL Manju CHAUDHARY Soom Nath RAINA Apekshita SINGH Amity Institute of Biotechnology Amity University Uttar PradeshSector-125UP 201313India Department of Botany Hansraj CollegeUniversity of DelhiDelhi 110007India

In this study, 32 black rice genotypes spanning diverse geographies in India were evaluated at both phenotypic and DNA sequence levels to gain insights into their genetic makeup. Significant variations were observed f... 详细信息

关键词： Indian Morphological Traits

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Biological,pathological,and multifaceted therapeutic functions of exosomes to target cancer

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Oncology Research 2024年第1期32卷 73-94页

作者： VIGNESH BALAJI E DIVYA RAMESH manisha CHUNGAN SHAJU AKSHARA KUMAR SAMYAK PANDEY RAKSHA NAYAK V.ALKA SRISHTI MUNJAL AMIR SALIMI K.SREEDHARA RANGANATH PAI SHANKAR M.BAKKANNAVAR Department of Pharmacology Manipal College of Pharmaceutical SciencesManipal Academy of Higher EducationManipalKarnataka576104India Department of Forensic Medicine and Toxicology Kasturba Medical CollegeManipal Academy of Higher EducationManipalKarnataka576104India School of Health and Community Services Durham CollegeOshawaOntarioL1G2G5Canada Department of Pharmaceutical Regulatory Affairs and Management Manipal College of Pharmaceutical SciencesManipal Academy of Higher EducationManipalKarnataka576104India Department of Clinical Psychology Manipal College of Health ProfessionsManipal Academy of Higher EducationManipalKarnataka576104India Department of Speech and Hearing Manipal College of Health ProfessionsManipal Academy of Higher EducationManipalKarnataka576104India Department of Pharmacy Practice Manipal College of Pharmaceutical SciencesManipal Academy of Higher EducationManipalKarnataka576104India

Exosomes,small tiny vesicle contains a large number of intracellular particles that employ to cause various diseases and prevent several pathological events as well in the human *** is considered a“double-edged sword”,and depending on its biological source,the action of exosomes varies under physiological ***,the isolation and characterization of the exosomes should be performed accurately and the methodology also will vary depending on the exosome ***,the uptake of exosomes from the recipients’cells is a vital and initial step for all the physiological *** are different mechanisms present in the exosomes’cellular uptake to deliver their cargo to acceptor *** the exosomal uptake takes place,it releases the intracellular particles that leads to activate the physiological *** though exosomes have lavish functions,there are some challenges associated with every step of their preparation to bring potential therapeutic ***,overcoming the pitfalls would give a desired quantity of exosomes with high purity.

关键词： Exosomes Physiology Cancer Therapeutics Challenges

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A therapeutic potentiality and toxicity concern of nutrient plant Annona squamosa Linn.

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Traditional Medicine Research 2024年第3期9卷 52-65页

作者： manisha Chandrakar Khomendra Kumar Sarwa Vijendra Kumar Suryawanshi Kumari Pramila University College of Pharmacy Raipur Chhattisgarh Swami Vivekanand Technical University BhilaiChhattisgarh 492001India Department of Pharmacy Government Girls PolytechnicRaipurChhattisgarh 492001India Bharti College of Pharmacy Bharti UniversityDurgChhattisgarh 491001India Faculty of Pharmacy M J College BhilaiDurgChhattisgarh 490023India

Annona squamosa *** is famous for its nutritional value with a long history of medicinal benefits due to the presence of many phytochemicals,including alkaloids,diterpenes,essential oil,phytopeptides,*** studies envisaged that Annona squamosa possesses cytotoxic,diuretic,antiurolithiatic,antitumor,anti-psoriatic,antioxidant,and hepatoprotective *** plant is traditionally used for the treatment of wound infection,dysentery,seizure,tumors,fever,vomiting,parasitic infections,hypertension,thyroid,toothache,acne,heart disease,inflammation,diabetes,hair loss,dandruff,hemorrhage,maggot-infected sores,abortifacient,and ***,some chemical constituents isolated from the plant have shown specific toxic effects in human and animal models,such as acute oral toxic effects,genotoxic,neurotoxic,and ocular *** plant has diverse pharmacological actions,the seeds of this plant possess a genotoxic effect but on the contrary,the bark of the plant shows genoprotective activity.A large number of ethnobotanical studies reported the seed of this plant is used to induce abortion in humans,but a scientific study carried out in pregnant rats reported aqueous seed extract of the plant did not interfere with reproductive *** presented review summarized the traditional uses,pharmacological,and toxicological activities of the isolated compounds from this ***,some patents and commercial products related to Annona squamosa are also brought up in this article to explore its application which would attract the scientific community to search out its hidden side.

关键词： Annona squamosa cytotoxicity cancer abortifacient genotoxicity isosquamocin annonacin neurotoxicity ocular toxicity

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Fluoride contamination in groundwater:A global review of the status,processes,challenges,and remedial measures

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Geoscience Frontiers 2024年第2期15卷 1-29页

作者： E.Shaji K.V.Sarath M.Santosh P.K.Krishnaprasad B.K.Arya manisha S.Babu Department of Geology University of KeralaKariavattom CampusThiruvananthapuramKerala 695581India School of Earth Sciences and Resources China University of Geosciences(Beijing)29 Xueyuan RoadBeijing 100083China Department of Earth Science University of AdelaideAdelaideSA 5005Australia Department of Geology Central University of KeralaTejaswini HillsPeriyeKasaragodKerala 671316India

Groundwater pollution by fluoride is one of the prime concerns of the world population due to its toxicity,which results in adverse health *** this paper,we review the current scenario of the fluoride contamination of groundwater in various countries across the globe and its impact on human *** the last decade,several newly affected regions have been reported all over the world,with more than 100 countries affected by fluoride contamination in groundwater(concentration exceeding the acceptable limit of 1.5 mg/L defined by the World Health Organization).Fluoride poisoning is mainly due to the unsupervised ingestion of products for dental and oral hygiene and over-fluoridated drinking *** is estimated that more than 200 million people from different countries are affected by fluoriderelated groundwater issues and health *** highest among these are from the countries in Africa(38),Asia(28),and Europe(24),followed by countries like South America(5),North America(3),and Australia(2).The source of fluoride in drinking water is primarily geogenic,together with forage,grasses and grains,tea,and anthropogenic *** countries affected were correlated with climatic zones and geological factors to gain insights into geospatial *** analyses show that most of the fluoride pollution-prone zones are located in high-grade metamorphic terranes with granitoid or alkaline intrusions,geothermal hot springs,and volcanic regions with arid or semi-arid climatic *** study also finds that children across the globe are more vulnerable than adults to fluoride *** review finds that,although there are efficient fluoride removal techniques,including filters with next-generation nanomaterials,to date,there has not been a single technique developed that can claim to be a practically robust solution for fluoride removal from drinking ***,we suggest developing next-generation filters that can retain essential miner

关键词： Fluoride Groundwater Water contamination WHO standards Climate zones Remediation Sustainable Development Goals

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Dynamics of a SIR epidemic model with variable recruitment and quadratic treatment

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生物数学学报:英文版 2023年第7期16卷 219-247页

作者： manisha Mukherjee Biswajit Mondal Department of Mathematics Raja N.L.Khan Women's College Midnapore 721102 West BengalIndia

The dynamical behavior of a variable recruitment SIR model has been investigated with the nonlinear incidence rate and the quadratic treatment function for a horizontally transmitted infectious disease that sustains for a long period(more than one year).For a long duration,we have incorporated human fertility in variable *** societal effort,*** types of medical infrastructures,have a vital role in controlling such a *** this reason,we have considered the quadratic treatment function,which divides the system into two *** have established the existence and stability of different equilibrium points that depend mainly on the societal effort parameter in both subsystems and also global *** rich dynamics such as forward bifurcation,Hopf bifurcation,limit cycle,and Bogdanov-Takens bifurcation of co-dimension 2 have been established by using bifurcation theory and the biological significance of these dynamics has been *** numerical examples have been considered to illustrate the theoretical ***,we have discussed the advantage of our model with the model by Eckalbar and Eckalbar[Nonlinear Anal.:Real World Appl.12(2011)320332].

关键词： Quadratic treatment function endemic equilibrium point Bogdanov-Takens bifurcation disease-free equilibrium point Hopf bifurcation

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BC driven IoT-based food quality traceability system for dairy product using deep learning model

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高置信计算(英文) 2023年第3期3卷 1-11页

作者： Noothi manisha Madiraju Jagadeeshwar Department of Computer Science Chaitanya Deemed to be UniversityWarangal 506001India

Food traceability is a critical factor that can ensure food safety for enhancing the credibility of the product,thus achieving heightened user satisfaction and *** Perishable Food SC(PFSC)requires paramount care for ensuring quality owing to the limited product *** PFSC comprises of multiple organizations with varied interests and is more likely to be hesitant in sharing the traceability details among one another owing to a lack of trust,which can be overcome by using Blockchain(BC).In this research,an efficient scheme using BC-Deep Residual Network(BC-DRN)is developed to provide food traceability for dairy ***,food traceability is determined by using various modules,like the Internet of Things(IoT),BC data management,Food traceability BC architecture,and DRN-based food quality evaluation *** devised BC-DRN-based food quality traceability system is examined based on its performance metrics,like sensitivity,response time,and testing accuracy,and it has attained better values of 0.939,109.564 s,and 0.931.

关键词： Perishable food SC Blockchain Internet of things Food traceability Deep learning

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Plastic waste management for sustainable environment:techniques and approaches

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Waste Disposal and Sustainable Energy 2023年第2期5卷 205-222页

作者： Prashant Pandey manisha Dhiman Ankur Kansal Sarada Prasannan Subudhi Uttarakhand Pollution Control Board Gaura Devi Paryavaran BhawanIT ParkSahastradhara RoadDehradunUttarakhand248001India School of Management IMS Unison UniversityMakkawala GreensMussoorie RoadDehradunUttarakhand248001India

Excessive exploitation,negligence,non-degradable nature,and physical and chemical properties of plastic waste have resulted in a massive pollution load into the ***,plastic entres the food chain and can cause serious health issues in aquatic animals and *** present review summarizes currently reported techniques and approaches for the removal of plastic *** techniques,such as adsorption,coagulation,photocatalysis,and microbial degradation,and approaches like reduction,reuse and recycling are potentially in trend and differ from each other in their efficiency and interaction ***,substantial advantages and challenges associated with these techniques and approaches are highlighted to develop an understanding of the selection of possible ways for a sustainable ***,in addition to the reduction of plastic waste from the ecosystem,many alternative opportunities have also been explored to cash plastic *** fields include the synthesis of adsorbents for the removal of pollutants from aqueous and gaseous stream,their utility in clothing,waste to energy and fuel and in construction(road making).Substantial evidence can be observed in the reduction of plastic pollution from various *** addition,it is important to develop an understanding of factors that need to be emphasized while considering alternative approaches and opportunities to cash plastic waste(like adsorbent,clothing,waste to energy and fuel).The thrust of this review is to provide readers with a comprehensive overview of the development status of techniques and approaches to overcome the global issue of plastic pollution and the outlook on the exploitation of this waste as resources.

关键词： Plastic waste Climate change Adsorption Coagulation Photocatalysis Reduction Reuse Recycling

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Recent development in asymmetric organocatalytic domino reactions involving 1,6-addition as a key step

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Organic Chemistry Frontiers 2022年第2期9卷 572-592页

作者： Yaseen Hussain Tamanna manisha Sharma Akshay Kumar Pankaj Chauhan Department of Chemistry Indian Institute of Technology JammuJagtiNH-44Nagrota BypassJammu181221 J&KIndia Department of Chemistry DAV UniversityPathankot-Jalandhar RoadJalandhar 144001PunjabIndia

Due to their unique activation modes,small organic molecule catalysts(organocatalysts)have proved their potential in facilitating the remote functionalizations of unsaturated acceptors with extended *** organocatalytic 1,6-addition reaction involving the attack of nucleophiles on the δ-carbon of the α,β,γ,δ-unsaturated acceptors has emerged as an excellent strategy to create a stereocenter at the δ-site with high regio-and *** has also opened the window for developing complex domino reactions involving the 1,6-addition *** advancement has been accomplished in the organocatalytic asymmetric 1,6-addition and related domino reactions for the stereocontrolled synthesis of complex molecular structures bearing multiple *** review article summarizes the significant advancement in stereoselective domino reactions involving 1,6-addition as a critical step.

关键词： domino asymmetric stereo

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Robust Vehicle Detection Based on Improved You Look Only Once

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Computers, Materials & Continua 2023年第2期74卷 3561-3577页

作者： Sunil Kumar manisha Jailia Sudeep Varshney Nitish Pathak Shabana Urooj Nouf Abd Elmunim Department of Computer Science Banasthali VidyapithRajasthan304022India Department of Computer Science&Engineering School of Engineering&TechnologySharda UniversityGreater Noida201310India Department of Information Technology Bhagwan Parshuram Institute of Technology(BPIT)GGSIPUNew Delhi110078India Department of Electrical Engineering College of EngineeringPrincess Nourah bint Abdulrahman UniversityP.O.BOX 84428Riyadh11671Saudi Arabia

Vehicle detection is still challenging for intelligent transportation systems(ITS)to achieve satisfactory *** existing methods based on one stage and two-stage have intrinsic weakness in obtaining high vehicle detection *** to advancements in detection technology,deep learning-based methods for vehicle detection have become more popular because of their higher detection accuracy and speed than the existing *** paper presents a robust vehicle detection technique based on Improved You Look Only Once(RVD-YOLOv5)to enhance vehicle detection *** proposed method works in three phases;in the first phase,the K-means algorithm performs data clustering on datasets to generate the classes of the ***,in the second phase,the YOLOv5 is applied to create the bounding box,and the Non-Maximum Suppression(NMS)technique is used to eliminate the overlapping of the bounding boxes of the ***,the loss function CIoU is employed to obtain the accurate regression bounding box of the vehicle in the third *** simulation results show that the proposed method achieves better results when compared with other state-of-art techniques,namely LightweightDilated Convolutional Neural Network(LD-CNN),Single Shot Detector(SSD),YOLOv3 and YOLOv4 on the performance metric like precision,recall,mAP and *** simulation and analysis are carried out on PASCAL VOC 2007,2012 and MS COCO 2017 datasets to obtain better performance for vehicle ***,the RVD-YOLOv5 obtains the results with an mAP of 98.6%and Precision,Recall,and F1-Score are 98%,96.2%and 97.09%,respectively.

关键词： Image-processing K-means clustering CNN YOLOv5 loss function deep-learning

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