Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Predicting oil content of Australian beauty leaf tree kernel samples using near infrared spectroscopy combined with chemometrics

Rahul Sreekumar; Nanjappa Ashwath; Daniel Cozzolino; Kerry Walsh

Journal of Near Infrared Spectroscopy · 2024

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Summary

This study was conducted to evaluate the ability of near infrared (NIR) spectroscopy to estimate oil content, and per cent of cake, resin and residue in beauty leaf tree ( Calophyllum inophyllum L.) kernel samples. Fruits were collected from various geographical locations of tropical Australia (from Rockhampton to Darwin) and air dried before the kernels were manually separated from the fruits. Kernel samples were oven dried, crushed (5–10 mm) and their NIR spectra collected using a Fourier transform (FT) NIR instrument where the same batch of kernels were used to extract oil using a screw press. Calibration models between the NIR spectra and reference data were developed using partial least squares (PLS) regression. The cross-validation statistics including the coefficient of determinati

Source type
Peer-reviewed study
DOI
10.1177/09670335231225820
Catalogue ID
NRmo9rin9c-0u2
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