Infrared spectroscopy for the quality assessment of Habanero chilli: a proof-of-concept study

Habanero chillies ( Capsicum chinense cv Habanero) are a popular species of hot chilli in Australia, with production steadily increasing. However, there is limited research on this crop due to its relatively low levels of production at present. Rapid methods of assessing fruit quality could be great...

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Veröffentlicht in:Journal of food measurement & characterization 2023-04, Vol.17 (2), p.1764-1774
Hauptverfasser: Johnson, Joel B., Mani, Janice S., Walsh, Kerry B., Naiker, Mani
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Naiker, Mani
description Habanero chillies ( Capsicum chinense cv Habanero) are a popular species of hot chilli in Australia, with production steadily increasing. However, there is limited research on this crop due to its relatively low levels of production at present. Rapid methods of assessing fruit quality could be greatly beneficial both for quality assurance purposes and for use in breeding programs or experimental growing trials. This work investigated the potential of using infrared spectroscopy for the quality assessment of 20 Australian Habanero chilli samples, including the prediction of dry matter content, total phenolic content, ferric reducing antioxidant potential and capsaicin/dihydrocapsaicin content. Near-infrared spectra (908–1676 nm) taken from the fresh fruit showed strong potential for the estimation of dry matter content, with a root mean standard error of cross-validation (RMSECV) of 0.50% FW. A moving-window partial least squares regression model was applied to optimise the spectral window used for dry matter content prediction, with the best-performing window being between 1224 and 1422 nm. However, the near-infrared spectra of fresh fruit could not be used to estimate the total phenolic content or capsaicin/dihydrocapsaicin content of the samples. Mid-infrared spectra (4000 − 400 cm − 1 ) collected from the dried, powdered material showed slightly more promise for the prediction of total phenolics and the ratio of capsaicin:dihydrocapsaicin, with a R 2 cv of 0.45 and RMSECV of 0.32 for the latter parameter. Although further refinement is required, this method may be able to detect samples with high/low contents of total phenolics or for the estimation of the capsaicin:dihydrocapsaicin ratio.
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subjects Capsaicin
Chemistry
Chemistry and Materials Science
Chemistry/Food Science
Dry matter
Engineering
Food Science
Fruits
Infrared spectra
Infrared spectroscopy
Least squares method
Near infrared radiation
Original Paper
Peppers
Phenolic compounds
Phenols
Predictions
Production methods
Quality assessment
Quality assurance
Quality control
Regression models
Spectroscopic analysis
Spectrum analysis
Standard error
title Infrared spectroscopy for the quality assessment of Habanero chilli: a proof-of-concept study
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