The Comprehensive Roadmap Toward Malaria Elimination Using Graphene and its Promising 2D Analogs
Malaria is a major public health concern with over 200 million new cases annually, resulting in significant financial costs. Preventive measures and diagnostic remedies are crucial in saving lives from malaria, and especially in developing nations. 2D materials are, therefore, ideal for fighting such an epidemic. Graphene and its derivatives are extensively studied due to their exceptional properties in this case. The biomedical applications of graphene‐based nanomaterials have gained significant interest in recent years due to their remarkable biocompatibility, solubility, and selectivity. Their unique physicochemical characteristics, like ample surface area, biofunctionality, high purity, solubility, substantial drug‐loading capacity, and superior ability to penetrate cell membranes, make them up‐and‐coming candidates as biodelivery carriers. In this review, crucial graphene‐based technologies to combat malaria are discussed. The advancements in preventing and diagnosing malaria and the biocompatibility of graphene‐based nanomaterials are emphasized. The roadmap for using graphene‐based technology toward achieving the WHO global malaria elimination by 2030 is presented and discussed in detail. Graphene oxide, the most critical biocompatible graphene derivative for health sensors, is also discussed. Additionally, 2D chalcogenides, specifically sulfide‐based transition‐metal dichalcogenides, are reviewed in detecting malaria during its early stages.
- Location
-
Deutsche Nationalbibliothek Frankfurt am Main
- Extent
-
Online-Ressource
- Language
-
Englisch
- Bibliographic citation
-
The Comprehensive Roadmap Toward Malaria Elimination Using Graphene and its Promising 2D Analogs ; day:15 ; month:03 ; year:2024 ; extent:24
Advanced nanoBiomed research ; (15.03.2024) (gesamt 24)
- Creator
-
He, Fangzhou
Junior, George
Konar, Rajashree
Huang, Yuanding
Zhang, Ke
Ke, Lijing
Niu, Meng
Goh, Boon Tong
Moutaouakil, Amine El
Nessim, Gilbert Daniel
Belmoubarik, Mohamed
Peng, Weng Kung
- DOI
-
10.1002/anbr.202300130
- URN
-
urn:nbn:de:101:1-2024031513144320691992
- Rights
-
Open Access; Der Zugriff auf das Objekt ist unbeschränkt möglich.
- Last update
-
14.08.2025, 10:46 AM CEST
Data provider
Deutsche Nationalbibliothek. If you have any questions about the object, please contact the data provider.
Associated
- He, Fangzhou
- Junior, George
- Konar, Rajashree
- Huang, Yuanding
- Zhang, Ke
- Ke, Lijing
- Niu, Meng
- Goh, Boon Tong
- Moutaouakil, Amine El
- Nessim, Gilbert Daniel
- Belmoubarik, Mohamed
- Peng, Weng Kung
Other Objects (12)
Sensitivity of hydrological model to the temporal and spatial resolutions of rainfall input
Observer-based fault estimation and accomodation for dynamic systems
Network-based logistic regression integration method for biomarker identification
Improved soil evaporation remote sensing retrieval algorithms and associated uncertainty analysis on the Tibetan Plateau
The Rheology Of Non-Aqueous Suspensions Of Modified Eccabond Fine (EBF) Clay
Tripled Readout Slices in Multi Time-Point pCASL Using Multiband Look-Locker EPI
Abdominal obesity as assessed by anthropometric measures associates with urinary incontinence in females: findings from the National Health and Nutrition Examination Survey 2005–2018
Monitoring warning criterion of acoustic emission active waveguide system based on loess deformation and failure
Characteristics and influencing factors of rainfall-induced landslide and debris flow hazards in Shaanxi Province, China
Effective instructional strategies and technology use in blended learning: A case study
Actor-critic objective penalty function method: an adaptive strategy for trajectory tracking in autonomous driving
Nutritional Quality of Basal Resource in Stream Food Webs Increased with Light Reduction—Implications for Riparian Revegetation
Sensitivity of hydrological model to the temporal and spatial resolutions of rainfall input
Observer-based fault estimation and accomodation for dynamic systems
Network-based logistic regression integration method for biomarker identification
Improved soil evaporation remote sensing retrieval algorithms and associated uncertainty analysis on the Tibetan Plateau
The Rheology Of Non-Aqueous Suspensions Of Modified Eccabond Fine (EBF) Clay
Tripled Readout Slices in Multi Time-Point pCASL Using Multiband Look-Locker EPI
Abdominal obesity as assessed by anthropometric measures associates with urinary incontinence in females: findings from the National Health and Nutrition Examination Survey 2005–2018
Monitoring warning criterion of acoustic emission active waveguide system based on loess deformation and failure
Characteristics and influencing factors of rainfall-induced landslide and debris flow hazards in Shaanxi Province, China
Effective instructional strategies and technology use in blended learning: A case study
Actor-critic objective penalty function method: an adaptive strategy for trajectory tracking in autonomous driving
Nutritional Quality of Basal Resource in Stream Food Webs Increased with Light Reduction—Implications for Riparian Revegetation
Sensitivity of hydrological model to the temporal and spatial resolutions of rainfall input
Observer-based fault estimation and accomodation for dynamic systems
Network-based logistic regression integration method for biomarker identification
Improved soil evaporation remote sensing retrieval algorithms and associated uncertainty analysis on the Tibetan Plateau
The Rheology Of Non-Aqueous Suspensions Of Modified Eccabond Fine (EBF) Clay
Tripled Readout Slices in Multi Time-Point pCASL Using Multiband Look-Locker EPI
Abdominal obesity as assessed by anthropometric measures associates with urinary incontinence in females: findings from the National Health and Nutrition Examination Survey 2005–2018
Monitoring warning criterion of acoustic emission active waveguide system based on loess deformation and failure
Characteristics and influencing factors of rainfall-induced landslide and debris flow hazards in Shaanxi Province, China
Effective instructional strategies and technology use in blended learning: A case study
Actor-critic objective penalty function method: an adaptive strategy for trajectory tracking in autonomous driving