A novel approach of age-grading of mosquitoes using sers and machine learning models

Active Project Grant Awarded Last action

Award ID
R01AI180243
Recipient
Awarding agency
Obligated
$2,281,317

Award facts

Assistance listing
93.855 Allergy and Infectious Diseases Research
Completion date 59% complete
Place of performance
Hadley, MA 01035, USA

Award details come from USAspending.gov.

Description

Abstract
Mosquito-borne pathogens, including malaria, zika, dengue, and chikungunya continue to be a major public health concern globally. As only older mosquitoes are infectious and represent a risk to human health, scientists have sought to age-grade mosquitoes based on this understanding; however, no reliable, cost effective and practical methods exist to age mosquitoes despite the tremendous epidemiological value of this approach. The overall objective of this R01 is to establish a novel approach to age-grade mosquitoes aedes aegypti in the field. The approach we took is based on surface-enhanced raman spectroscopy (SERS) to analyze the biomolecules from mosquito water extract that are bound with silver nanoparticles (AGNPS) and then the SERS spectra are used in modern machine learning models to age-grade the mosquitoes. Our central hypothesis is that AGNPS interact with specific biomolecules enabling SERS to generate unique and predictable spectral information for establishing modern machine learning models to determine the age of mosquitoes. Our prior work demonstrates the feasibility of SERS and artificial neuron networks (ANNS) to determine the age of both lab (error

Transactions

Action Obligated Date
Amendment $370,265
Amendment $364,013
Amendment $364,013
Amendment $40,794
Amendment $40,794
Amendment $367,146
Amendment $367,146
Original award $367,146

Subawards

Subrecipient Amount Awarded
Cornell University A novel approach of age-grading mosquitoes using SERS and machine learning models $147,809
Georgia TECH Research Corp A novel approach of age-grading of mosquitoes using SERS and machine learning models $51,295
W03K W Reedarmyinstrsch(Wrair) $217,196
Georgia TECH Research Corp $32,286

Quick answers

Who received award R01AI180243?

R01AI180243 was awarded to University Of Massachusetts by National Institute of Allergy and Infectious Diseases (National Institutes of Health) on December 15, 2023.

How much is award R01AI180243 worth?

$2,281,317 has been obligated on R01AI180243.

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