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<p><i>Moringa </i><i>oleifera</i>, renowned for its nutritional and therapeutic benefits, faces challenges in quality assurance due to potential adulteration. This study utilizes attenuated total reflectance–Fourier transform infrared spectroscopy combined with chemometric models, specifically partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis, to detect adulteration of moringa leaf powder with henna. The attenuated total reflectance–Fourier transform infrared spectra revealed characteristic bands corresponding to key components such as flavonoids, tannins, and proteins, confirming the complex chemical profile of moringa. Chemometric analysis demonstrated high discriminatory power in distinguishing between pure moringa 0% and adulterated samples at different concentrations (2% and 4%). Both partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis models achieved a 100% correct classification rate during the validation phases. Additionally, quantitative models using partial least squares and orthogonal partial least squares effectively predicted henna adulteration levels. Validation metrics confirm the reliability of both PLS (<i>R</i>2p 0.935–0.969, RMSEP 1.567–2.296) and OPLS (<i>R</i>2p 0.906–0.969, RMSEP 1.445–2.071) models in predicting adulteration, with preprocessing techniques further enhancing performance. Overall, attenuated total reflectance–Fourier transform infrared spectroscopy combined with advanced chemometric models offers a robust approach for detecting and quantifying adulteration in Moringa products. These findings highlight its potential for ensuring product integrity and consumer safety in industries reliant on Moringa’s nutritional and therapeutic properties.</p>

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Rapid Authentication of Moringa oleifera Powder: Detection and Quantification of Adulteration Using ATR-FTIR Spectroscopy and Chemometrics

  • 期刊论文

  • 发表日期：

    2025年2月12日

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  • Aimen El Orche,
  • Miloud El Karbane,
  • Omar Ait El Alia,
  • Houda Bouchafra,
  • Lhoussaine Zarayby,
  • Mustapha Bouatia

摘要

Moringa oleifera, renowned for its nutritional and therapeutic benefits, faces challenges in quality assurance due to potential adulteration. This study utilizes attenuated total reflectance–Fourier transform infrared spectroscopy combined with chemometric models, specifically partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis, to detect adulteration of moringa leaf powder with henna. The attenuated total reflectance–Fourier transform infrared spectra revealed characteristic bands corresponding to key components such as flavonoids, tannins, and proteins, confirming the complex chemical profile of moringa. Chemometric analysis demonstrated high discriminatory power in distinguishing between pure moringa 0% and adulterated samples at different concentrations (2% and 4%). Both partial least squares discriminant analysis and orthogonal partial least squares discriminant analysis models achieved a 100% correct classification rate during the validation phases. Additionally, quantitative models using partial least squares and orthogonal partial least squares effectively predicted henna adulteration levels. Validation metrics confirm the reliability of both PLS (R2p 0.935–0.969, RMSEP 1.567–2.296) and OPLS (R2p 0.906–0.969, RMSEP 1.445–2.071) models in predicting adulteration, with preprocessing techniques further enhancing performance. Overall, attenuated total reflectance–Fourier transform infrared spectroscopy combined with advanced chemometric models offers a robust approach for detecting and quantifying adulteration in Moringa products. These findings highlight its potential for ensuring product integrity and consumer safety in industries reliant on Moringa’s nutritional and therapeutic properties.