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Research Project: The Advancement of Spectroscopic Sensors/chemometric Analysis for Quality Assessment of Fiber, Grain, and Food Commodities

Location: Quality Assessment Research Unit

Project Number: 6612-44000-025-00
Project Type: Appropriated

Start Date: Sep 15, 2004
End Date: Sep 14, 2009

Objective:
The goal of this project is to develop and compare rapid, accurate, improved (non-destructive) and environmentally benign spectral methods to replace invasive, less accurate and less rapid current methods of analysis to determine the quality and functional end product use of agricultural commodities and food products and to assist regulatory agencies in objectively measuring and predicting quality and functionality. Specifically this involves sub-objectives to: 1) Develop an accurate method for determining starch amylose/amylopectin ratios as a measurement of grain quality to facilitate its genetic development/functionality for foods, biobased products, and biofuels. 2) Facilitate compliance with the Nutrition Labeling and Education Act (NLEA) by the development of rapid, accurate and environmentally benign spectroscopic methods for: total dietary fiber in mixed foods; for rapid analysis of fats in cereal and snack foods; and rapid analysis of trans-fatty acids in snack foods. 3) Develop methods for cotton to detect stickiness and identify trash, factors that adversely affect quality. 4) Develop methods to determine the fiber content of the standing flax plant to predict proper harvesting time and for the assessment of retted flax that provides a measurement of shive (trash) content.

Approach:
This project has multiple approaches for the objectives: 1) Proton high-resolution magic-angle-spinning (HR MAS) nuclear magnetic resonance (NMR) will be employed to measure the branching in grain starch based on the ratio of the areas of the anomeric protons (1-4/1-6). The data so obtained will serve as reference data for use in chemometric calibrations for vibrational spectroscopic techniques (near-infrared [NIR], mid-infrared [MIR] and Raman) to provide more accurate rapid analysis methods. 2) Analysis of dietary fiber in mixed meals will be conducted by homogenizing the samples and analyzing sub-samples for total dietary fiber (TDF) by Association of Official Analytical Chemists (AOAC) Method 991.43 as the reference method. Off-the-shelf cereal and snack foods will be milled and analyzed for total fat using AOAC Method 996.01 as the reference method. Fatty acids will be extracted and analyzed for the proportion of trans-fatty acids by gas chromatography (GC) as the reference method. Samples will be scanned with diffuse refection NIR and/or MIR spectrometers. Chemometric models will be developed to relate spectra to reference data and used to predict: dietary fiber; total, saturated, and trans-fat in test mixed meals; cereal products; and snack food samples. 3) Obtain stickiness values on cotton fiber samples by mini-card system as reference values. Scan samples with high-resolution NIR spectrometers. Develop spectroscopically based classification models. Export model to a field analysis based system. Integrate the system with remediation technologies. 4) Collect samples of all anticipated foreign matter (trash) that could potentially be present in cotton. Scan samples using attenuated total reflectance/Fourier transform-infrared (ATR/FT-IR). Build database of spectra. Validate with known samples and test the database using unknown samples. Identify unknown foreign matter in cotton. Develop a set of samples prepared from physically separated pure fiber and shive of flax. Grind and prepare weighed mixtures of components. Scan these samples using laboratory based NIR spectrometers. Develop a chemometric calibration for fiber and shive content of the samples. Use this calibration to predict the fiber and shive content of as-is and retted flax.

 
Project Team
Himmelsbach, David - Dave
Morrison, Wiley - Herb
Barton, Franklin - Woody
Kays, Sandra

Publications

Related National Programs
  Quality and Utilization of Agricultural Products (306)

Related Projects
   Spectroscopic Methods for the Determination of Lipid Content and Composition
   Development of An Ft-Nir Spectrometer for in-Line and Field Use
   Development of Field Deployable Optical Spectrometers with Chemometric Methods for the Analysis of Fiber, Food, and Grain Applications

 
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