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Volatilization01:10

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Volatilization gravimetry is an analytical technique that measures the mass lost due to the volatilization of the substance. This technique is used to estimate the amount of volatile material in a sample. To perform this method, heat a known amount of the sample to a high temperature in a crucible or other suitable vessel. The volatile substance in the sample evaporates, and the vapor is completely expelled from the crucible either by heating the sample or bubbling a stream of inert gas through...
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Chromatographic techniques are classified in three ways: the classification is based on the physical state of the stationary and mobile phases, how the mobile phase and the stationary phase contact each other, or through the chemical or physical processes that isolate the components of the sample. Typically, the mobile phase is either a liquid or gas, while the stationary phase is either a solid or a liquid layer applied to a solid surface.
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PTR-ToF-MS Coupled with an Automated Sampling System and Tailored Data Analysis for Food Studies: Bioprocess Monitoring, Screening and Nose-space Analysis
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Wheat classification according to its origin by an implemented volatile organic compounds analysis.

Riccardo De Flaviis1, Giampiero Sacchetti1, Dino Mastrocola1

  • 1Faculty of Bioscience and Technology for Food, Agriculture and Environment, University of Teramo, Via R. Balzarini 1, 64100 Teramo, Italy.

Food Chemistry
|October 6, 2020
PubMed
Summary

Analyzing wheat volatile organic compounds (VOCs) using SPME-GC-MS reveals new compounds and classifies wheat by origin. This method enhances wheat authentication and quality studies.

Keywords:
GC–MSPedoclimatic conditionsSPMEVolatile organic compoundsWheat species

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Area of Science:

  • Food Science
  • Analytical Chemistry
  • Agricultural Science

Background:

  • Analysis of food volatile organic compounds (VOCs) aids in authentication and classification.
  • Wheat VOC analysis remains underexplored, limiting its application in quality assessment.

Purpose of the Study:

  • To optimize a method for analyzing wheat VOCs.
  • To identify VOCs for classifying wheat based on origin and species.
  • To explore the influence of geographical origin on wheat quality.

Main Methods:

  • Solid-phase microextraction coupled with gas chromatography-mass spectrometry (SPME-GC-MS) was optimized.
  • Optimization involved testing various fibers, sample preparation, extraction parameters, and desorption conditions.
  • Principal Component Analysis (PCA) and Partial Least Squares (PLS) analysis were applied to the VOC data.

Main Results:

  • 158 VOCs were identified in six wheat cultivars, with 98 being novel findings.
  • Cultivation area was identified as the primary source of variability in VOC profiles.
  • PLS analysis successfully classified wheat by cultivation area and species, highlighting discriminant VOCs.

Conclusions:

  • The optimized SPME-GC-MS method is effective for comprehensive wheat VOC analysis.
  • VOC profiling can accurately classify wheat based on geographical origin and species.
  • This approach holds significant promise for assessing wheat quality and authenticity.