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Not Open access | Modeling of High-Performance SPR Refractive Index Sensor Employing Novel 2D Materials for detection of Malaria Pathogens

September 29, 2021 - 10:24 -- NOT Open Access
Tags: 
Author(s): 
Panda A, Pukhrambam PD
Reference: 
IEEE Trans Nanobioscience. 2021 Sep 27;PP

The present work exhibits a novel design of surface plasmon resonance (SPR) biosensor, which comprises CaF2 prism, TiO2, metal (Ag/Au), PtSe2, 2D materials (graphene/ transition metal dichalcogenides (MoS2/WS2)) and sensing medium, for point-of-care detection of various stages of malaria diseases. The transfer matrix method (TMM) is employed to examine the angular reflectivity of the proposed structure after judiciously optimizing the layer thicknesses and layer numbers.

Supporting data on characterisation of linker switch mutants of Plasmodium falciparum heat shock protein 110 and canonical Hsp70

August 4, 2021 - 12:16 -- Open Access
Author(s): 
Chakafana G, Mudau PT, Zininga T, Shonhai A
Reference: 
Data Brief. 2021 May 29;37:107177

Here, we present data on characterisation of the linker of Plasmodium falciparum Hsp110 (PfHsp70-z) relative to the linker of canonical Hsp70s in support of a co-published article [1]. The linker of PfHsp70-z was switched with that of canonical Hsp70s, represented by PfHsp70-1 (cytosolic counterpart of PfHsp70-z) and E. coli Hsp70/DnaK. The datasets represent comparative analyses of PfHsp70-z, PfHsp70-1, and E. coli DnaK, relative to their linker switch mutants; PfHsp70-zLS, PfHsp70-1LS, DnaKLS, respectively.

Digitized smart surveillance and micromanagement using information technology for malaria elimination in Mangaluru, India: an analysis of five-year post-digitization data

March 10, 2021 - 15:16 -- Open Access
Author(s): 
B. Shantharam Baliga, Shrikala Baliga, Animesh Jain, Naveen Kulal, Manu Kumar, Naren Koduvattat, B. G. Prakash Kumar, Arun Kumar and Susanta K. Ghosh
Reference: 
Malaria Journal 2021 20:139, 8 March 2021

Malaria control system (MCS), an Information technology (IT)-driven surveillance and monitoring intervention is being adopted for elimination of malaria in Mangaluru city, Karnataka, India since October 2015. This has facilitated ‘smart surveillance’ followed by required field response within a timeline. The system facilitated data collection of individual case, data driven mapping and strategies for malaria elimination programme. This paper aims to present the analysis of post-digitization data of 5 years, discuss the current operational functionalities of MCS and its impact on the malaria incidence.

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