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Exploring the Analytical Complexities in Insect Powder Analysis Using Miniaturized NIR Spectroscopy.

Jordi Riu1, Alba Vega1, Ricard Boqué1

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Summary
This summary is machine-generated.

Portable near-infrared (NIR) spectroscopy can reliably classify insect powder and predict macronutrients. This fast, accessible method offers a promising tool for analyzing insect-based food products.

Keywords:
classificationedible insect powdermeasurement strategiesminiaturized instrumentationnear-infrared spectroscopyprediction of macronutrients

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Area of Science:

  • Food Science
  • Analytical Chemistry
  • Spectroscopy

Background:

  • Insects are a sustainable and traditional food source globally.
  • Accurate analysis of insect powder composition is crucial for quality control and safety.
  • Near-infrared (NIR) spectroscopy offers a rapid, non-destructive analytical technique.

Purpose of the Study:

  • To evaluate the feasibility of portable NIR spectroscopy for insect powder analysis.
  • To assess the classification accuracy of insect powder samples using NIR data.
  • To determine the capability of NIR spectroscopy in predicting major insect powder components.

Main Methods:

  • Analysis of commercial insect powders using two miniaturized NIR instruments.
  • Investigation of sample granulometry (as-is vs. ground) effects on spectroscopic measurements.
  • Development and optimization of a custom sample holder for consistent measurements.
  • Application of three classification strategies and partial least squares (PLS) regression for component prediction.

Main Results:

  • Both NIR instruments successfully classified insect powder samples.
  • Macronutrient prediction was achieved with adequate detection limits using PLS regression.
  • Spectroscopic analysis demonstrated reliability for both as-is and ground samples.

Conclusions:

  • Portable NIR spectroscopy is a feasible and effective tool for insect powder classification.
  • The technique provides accurate prediction of major insect powder components.
  • This method supports rapid quality assessment in the growing insect-based food industry.