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Optica Publishing Group
  • Journal of Near Infrared Spectroscopy
  • Vol. 30,
  • Issue 5,
  • pp. 264-269
  • (2022)

Discrimination of Gonipterini weevil genera using near infrared spectroscopy

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Abstract

This proof-of-concept study aimed to investigate the potential of using near infrared (NIR) spectroscopy to discriminate between genera of Gonipterini weevil. NIR spectra (10,000–4,000 cm−1) were collected from 15 Gonipterini specimens, comprising three genera and five species. Principal component analysis (PCA) highlighted the inter-specific variation in NIR spectra, with separation observed between most species across the first two principal components. Partial least squares discriminant analysis (PLS-DA) could be used to differentiate between the genera (78% accuracy), although support vector machine (SVM) modelling gave improved accuracy (91%). The results support the prospect of NIR spectroscopy for the rapid discrimination between Gonipterini genera.

© 2022 The Author(s)

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