Machine learning approach to surface plasmon resonance sensor based on MXene coated PCF for malaria disease detection in RBCs

Author:

Kumar Amit,Verma Pankaj,Jindal Poonam

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference50 articles.

1. The malaria-infected red blood cell: structural and functional changes;Cooke;Adv. Parasitol.,2001

2. Hemoglobin degradationin the malaria parasite plasmodium falciparum: An ordered process in a unique organelle;Goldberg;Proc. Natl. Acad. Sci. USA,1990

3. Identification of malaria parasite-infected red blood cell surface aptamers by inertial microfluidic SELEX (I-SELEX);Birch;Sci. Rep.,2015

4. Malaria-infected red blood cell analysis through optical and biochemical parameters using the transport of intensity equation and the microscope’s optical properties;Agnero;Sensors,2019

5. Decagonal solid core PCF based refractive index sensor for blood cells detection in terahertz regime;Kumar;Opt. Quantum Electron.,2021

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