Wheat Grain Analysis
Wheat Grain Analysis - Related Videos
07:10
Untargeted Liquid Chromatography-Mass Spectrometry-Based Metabolomics Analysis of Wheat Grain
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Cited by 4 •
2020
A method for the untargeted analysis of wheat grain metabolites and lipids is presented. The protocol includes an acetonitrile metabolite extraction method and reversed phase liquid chromatography-mass spectrometry methodology, with acquisition in positive and negative electrospray ionization modes.
06:52
Nanocrystalline Alloys and Nano-grain Size Stability
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2023
Source: Sina Shahbazmohamadi and Peiman Shahbeigi-Roodposhti-Roodposhti, School of Engineering, University of Connecticut, Storrs, CT Alloys with grain size less than 100 nm are known as nanocrystaline alloys. Due to their enhanced physical and mechanical properties, there is an ever-increasing demand to employ them in various industries such as semiconductor, biosensors and aerospace. To improve the processing and application of nanocrystalline alloys, it is necessary to develop close to 100%...
09:51
Atom Probe Tomography Studies on the Cu(In,Ga)Se2 Grain Boundaries
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Cited by 29 •
2013
In this work, we describe the use of the atom-probe tomography technique for studying the grain boundaries of the absorber layer in a CIGS solar cell. A novel approach to prepare the atom probe tips containing the desired grain boundary with a known structure is also presented here.
09:13
Characterization of Ultra-fine Grained and Nanocrystalline Materials Using Transmission Kikuchi Diffraction
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Cited by 8 •
2017
This paper provides a detailed method to characterize the microstructure of ultra-fine grained and nanocrystalline materials using a scanning electron microscope equipped with a standard electron backscatter diffraction system. Metal alloys and minerals presenting refined microstructures are analyzed using this technique, showing the diversity of its possible applications.
14:58
Methods for the Modulation and Analysis of NF-κB-dependent Adult Neurogenesis
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Cited by 1 •
2014
Methods for the manipulation and analysis of NF-κB-dependent adult hippocampal neurogenesis are described. A detailed protocol is presented for a dentate gyrus-dependent behavioral test (termed the spatial pattern separation-Barnes maze) for the investigation of cognitive outcome in mice. This technique should also help enable investigations in other experimental settings.
FAQs
Interpretation depends on measuring multiple constituents together rather than treating a single value as a complete quality indicator. Protein, carbohydrate, lipid, and moisture measurements describe composition, while enzyme and secondary-metabolite data add biochemical information. Considering these results as a profile helps relate grain composition to quality, nutritional evaluation, and suitability for particular food or research applications.
Genotype, growing conditions, storage, and processing can all shift the measured composition of wheat grain. Analysis therefore helps distinguish variation associated with the grain’s biological background from changes that arise after harvest or during handling. Comparing samples across these conditions can reveal why biochemical profiles differ and how those differences affect functional performance.
Spectroscopy, chromatography, and colorimetric assays provide complementary ways to measure wheat-grain constituents. The source does not assign each method to one universal compound or outcome, so method selection should follow the analytical target. Combining approaches can broaden the biochemical profile used to assess composition, quality, and research characteristics.
Enzyme and secondary-metabolite measurements extend the analysis beyond proteins, carbohydrates, lipids, and moisture. They provide biochemical information that can help researchers examine how genotype, growing conditions, storage, or processing influence grain properties. This broader view is valuable when evaluating deterioration, contamination, functional performance, or research characteristics rather than composition alone.
Sample preparation begins with homogenization, followed by measurements of selected constituents. The analytical plan may combine spectroscopy, chromatography, and colorimetric assays, depending on which proteins, carbohydrates, lipids, moisture, enzymes, or secondary metabolites are being examined. Keeping sample preparation and selected measurements aligned with the research question helps produce interpretable biochemical data.
Wheat grain analysis supports several distinct goals, including quality control, nutritional evaluation, breeding programs, detection of deterioration or contamination, and development of wheat products. In breeding, researchers can compare grain profiles, while product development uses compositional and biochemical information to pursue desired processing or nutritional characteristics.
Comparisons can reveal how genotype, growing conditions, storage, and processing influence composition and functional performance. The resulting patterns may identify changes associated with cultivation or postharvest handling and help determine whether a sample remains suitable for a food or research application. This makes comparative analysis useful for both experimental interpretation and practical quality assessment.