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.
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 . 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.
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.