Evaluating the Use of Vibrational Spectroscopy to Detect the Level of Adulteration of Cricket Powder in Plant Flours: The Effect of the Matrix.

Shanmugam Alagappan, Siyu Ma, Joseph Robert Nastasi, Louwrens C Hoffman, Daniel Cozzolino
Author Information
  1. Shanmugam Alagappan: School of Agriculture and Food Sustainability, The University of Queensland, St. Lucia Campus, Brisbane, QLD 4072, Australia. ORCID
  2. Siyu Ma: School of Agriculture and Food Sustainability, The University of Queensland, St. Lucia Campus, Brisbane, QLD 4072, Australia.
  3. Joseph Robert Nastasi: School of Agriculture and Food Sustainability, The University of Queensland, St. Lucia Campus, Brisbane, QLD 4072, Australia.
  4. Louwrens C Hoffman: Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Nutrition and Food Sciences, The University of Queensland, St. Lucia Campus, Brisbane, QLD 4072, Australia. ORCID
  5. Daniel Cozzolino: Queensland Alliance for Agriculture and Food Innovation (QAAFI), Centre for Nutrition and Food Sciences, The University of Queensland, St. Lucia Campus, Brisbane, QLD 4072, Australia. ORCID

Abstract

Edible insects have been recognised as an alternative food or feed ingredient due to their protein value for both humans and domestic animals. The objective of this study was to evaluate the ability of both near- (NIR) and mid-infrared (MIR) spectroscopy to identify and quantify the level of adulteration of cricket powder added into two plant proteins: chickpea and flaxseed meal flour. Cricket flour (CKF) was added to either commercial chickpea (CPF) or flaxseed meal flour (FxMF) at different ratios of 95:5% /, 90:10% /, 85:15% /, 80:20% /, 75:25% /, 70:30% /, 65:35% /, 60:40% /, or 50:50% /. The mixture samples were analysed using an attenuated total reflectance (ATR) MIR instrument and a Fourier transform (FT) NIR instrument. The partial least squares (PLS) cross-validation statistics based on the MIR spectra showed that the coefficient of determination (R) and the standard error in cross-validation (SECV) were 0.94 and 6.68%, 0.91 and 8.04%, and 0.92 and 4.33% for the ALL, CPF vs. CKF, and FxMF vs. CKF mixtures, respectively. The results based on NIR showed that the cross-validation statistics R and SECV were 0.95 and 3.16%, 0.98 and 1.74%, and 0.94 and 3.27% using all the samples analyzed together (ALL), the CPF vs. CKF mixture, and the FxMF vs. CKF mixture, respectively. The results of this study showed the effect of the matrix (type of flour) on the PLS-DA data in both the classification results and the PLS loadings used by the models. The different combination of flours (mixtures) showed differences in the absorbance values at specific wavenumbers in the NIR range that can be used to classify the presence of CKF. Research in this field is valuable in advancing the application of vibrational spectroscopy as routine tools in food analysis and quality control.

Keywords

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MeSH Term

Animals
Humans
Flour
Powders
Cricket Sport
Spectrum Analysis
Food Analysis
Least-Squares Analysis
Spectroscopy, Fourier Transform Infrared

Chemicals

Powders

Word Cloud

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