Application of infrared spectroscopy and partial least squares discriminant analysis to determine the gonotrophic stage of Aedes triseriatus

WCU Author/Contributor (non-WCU co-authors, if there are any, appear on document)
Mark Anthony Rothermund (Creator)
Western Carolina University (WCU )
Web Site:
Scott W. Huffman

Abstract: Mosquitoes are among the deadliest creatures in the world due to their propensity for spreading pathogens to humans. Surveillance is an important step in controlling and monitoring mosquito populations. The most common technique used for mosquito surveillance requires a highly trained entomologist to identify and determine information such as sex, gonotrophic stage, infection status of the mosquitoes morphologically by means of dissection. Identification using this method is time-consuming and requires skills that only highly trained entomologists possess, which limit the sample size of tested mosquitoes. A new method using Fourier transform infrared (FT-IR) microspectroscopy eliminates these restrictions by streamlining mosquito sample processing and lowering the skill required to perform the method. The method outlined in this study can be completed more quickly and by technicians of varied skill levels. Samples of parous and nulliparous Aedes triseriatus (170 samples) identified by a trained entomologist were used to test the method’s ability to discriminate parity. Mid-infrared spectra of the mosquitoes were collected, preprocessed, and partial least squares discriminant analysis (PLS-DA) was used to discriminate between the parous and nulliparous mosquitoes. The method identified the parity status of the mosquitoes with 100% accuracy, 100% true positive rate (TPR), and 100% true negative rate(TNR).

Additional Information

Language: English
Date: 2022
aedes triseriatus, chemometrics, FT-IR, mosquito, Partial least squares, PLS-DA
Infrared spectroscopy
Mosquitoes as carriers of disease
Entomology -- Statistical methods
Entomology -- Methodology

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