MicroNIR spectroscopy with chemometric analysis provides rapid protein content evaluation and prediction of semi-refined flaxseed protein extract produced via pulsed electric field (PEF)-assisted extraction

Jervee Punzalan; Peter Hartono; Sara J. Fraser-Miller; Sze Ying Leong; Kevin Sutton; Gert-Jan Moggre; Keith C. Gordon; Indrawati Oey

doi:10.1016/j.foodchem.2025.143062

MicroNIR spectroscopy with chemometric analysis provides rapid protein content evaluation and prediction of semi-refined flaxseed protein extract produced via pulsed electric field (PEF)-assisted extraction

Jervee Punzalan, Peter Hartono, Sara J. Fraser-Miller, Sze Ying Leong, Kevin Sutton, Gert-Jan Moggre, Keith C. Gordon, Indrawati Oey

College of Science and Engineering

Research output: Contribution to journal › Article › peer-review

Abstract

Near-infrared (NIR) spectroscopy with chemometrics was used to evaluate semi-refined flaxseed protein extract (SRFPE) and predict its protein content. The effect of extraction medium (water vs. alkaline) employed after pulsed electric field (PEF) treatment on protein yield was also studied. Spectral data were validated for nitrogen content against the Dumas and Kjeldahl methods. The root mean square error of prediction (RMSEP) and the ratio of performance deviation (RPD) for optimally preprocessed data were 0.09 % and 8.26 respectively. The spectral shifts suggested protein conformational changes influenced by extraction method, pH and the applied PEF energy input. These results showed the ability of NIR (908–1676 nm) for rapid, accurate and non-destructive protein quantification across diverse sample matrices while demonstrating its potential for streamlining analytical processes.

Original language	English
Article number	143062
Number of pages	10
Journal	Food Chemistry
Volume	473
DOIs	https://doi.org/10.1016/j.foodchem.2025.143062
Publication status	Published - 1 May 2025

Keywords

Flaxseed
Pulsed electric field
Near-infrared spectroscopy
Principal component analysis
Partial least squares regression
Protein content
Semi-refined

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Punzalan, J., Hartono, P., Fraser-Miller, S. J., Leong, S. Y., Sutton, K., Moggre, G.-J., Gordon, K. C., & Oey, I. (2025). MicroNIR spectroscopy with chemometric analysis provides rapid protein content evaluation and prediction of semi-refined flaxseed protein extract produced via pulsed electric field (PEF)-assisted extraction. Food Chemistry, 473, Article 143062. https://doi.org/10.1016/j.foodchem.2025.143062

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title = "MicroNIR spectroscopy with chemometric analysis provides rapid protein content evaluation and prediction of semi-refined flaxseed protein extract produced via pulsed electric field (PEF)-assisted extraction",

abstract = "Near-infrared (NIR) spectroscopy with chemometrics was used to evaluate semi-refined flaxseed protein extract (SRFPE) and predict its protein content. The effect of extraction medium (water vs. alkaline) employed after pulsed electric field (PEF) treatment on protein yield was also studied. Spectral data were validated for nitrogen content against the Dumas and Kjeldahl methods. The root mean square error of prediction (RMSEP) and the ratio of performance deviation (RPD) for optimally preprocessed data were 0.09 % and 8.26 respectively. The spectral shifts suggested protein conformational changes influenced by extraction method, pH and the applied PEF energy input. These results showed the ability of NIR (908–1676 nm) for rapid, accurate and non-destructive protein quantification across diverse sample matrices while demonstrating its potential for streamlining analytical processes.",

keywords = "Flaxseed, Pulsed electric field, Near-infrared spectroscopy, Principal component analysis, Partial least squares regression, Protein content, Semi-refined",

author = "Jervee Punzalan and Peter Hartono and Fraser-Miller, {Sara J.} and Leong, {Sze Ying} and Kevin Sutton and Gert-Jan Moggre and Gordon, {Keith C.} and Indrawati Oey",

year = "2025",

month = may,

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doi = "10.1016/j.foodchem.2025.143062",

language = "English",

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Punzalan, J, Hartono, P, Fraser-Miller, SJ, Leong, SY, Sutton, K, Moggre, G-J, Gordon, KC & Oey, I 2025, 'MicroNIR spectroscopy with chemometric analysis provides rapid protein content evaluation and prediction of semi-refined flaxseed protein extract produced via pulsed electric field (PEF)-assisted extraction', Food Chemistry, vol. 473, 143062. https://doi.org/10.1016/j.foodchem.2025.143062

MicroNIR spectroscopy with chemometric analysis provides rapid protein content evaluation and prediction of semi-refined flaxseed protein extract produced via pulsed electric field (PEF)-assisted extraction. / Punzalan, Jervee; Hartono, Peter; Fraser-Miller, Sara J. et al.
In: Food Chemistry, Vol. 473, 143062, 01.05.2025.

Research output: Contribution to journal › Article › peer-review

TY - JOUR

T1 - MicroNIR spectroscopy with chemometric analysis provides rapid protein content evaluation and prediction of semi-refined flaxseed protein extract produced via pulsed electric field (PEF)-assisted extraction

AU - Punzalan, Jervee

AU - Hartono, Peter

AU - Fraser-Miller, Sara J.

AU - Leong, Sze Ying

AU - Sutton, Kevin

AU - Moggre, Gert-Jan

AU - Gordon, Keith C.

AU - Oey, Indrawati

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AB - Near-infrared (NIR) spectroscopy with chemometrics was used to evaluate semi-refined flaxseed protein extract (SRFPE) and predict its protein content. The effect of extraction medium (water vs. alkaline) employed after pulsed electric field (PEF) treatment on protein yield was also studied. Spectral data were validated for nitrogen content against the Dumas and Kjeldahl methods. The root mean square error of prediction (RMSEP) and the ratio of performance deviation (RPD) for optimally preprocessed data were 0.09 % and 8.26 respectively. The spectral shifts suggested protein conformational changes influenced by extraction method, pH and the applied PEF energy input. These results showed the ability of NIR (908–1676 nm) for rapid, accurate and non-destructive protein quantification across diverse sample matrices while demonstrating its potential for streamlining analytical processes.

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KW - Pulsed electric field

KW - Near-infrared spectroscopy

KW - Principal component analysis

KW - Partial least squares regression

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