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The Multidimensional Chromatography (MDC) Workshop
The Multidimensional Chromatography (MDC) Workshop draws experts in this exciting field to share and discuss their research.
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Food metabolomics by GC×GC-TOF MS & tandem ionization: Crops quality (Nemanja Koljančić, MDCW 2023)

Tu, 12.12.2023
| Original article from: The Multidimensional Chromatography (MDC) Workshop
The goal of the current study is to understand the effects of climate change on the metabolome of hazelnuts regarding alternative post-harvest practices, as well as defects indirectly caused by global warming.
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  • Photo: Food metabolomics by GC×GC-TOF MS & tandem ionization: Crops quality (Nemanja Koljančić, MDCW 2023)
  • Video: LabRulez: Nemanja Koljančić: Food metabolomics by GC×GC-TOF MS & tandem ionization: Crops quality (MDCW 2023)
  • 🎤 Presenter: Nemanja Koljančić¹, Simone Squara², Angelica Fina², Donatella Ferrara², Carlo Bicchi², Stephen Reichenbach²´⁴, Qingping Tao⁴, Ivan Špánik¹, Chiara Cordero² (¹Institute of Analytical Chemistry, Faculty of Chemical and Food Technology, Slovak University of Technology in Bratislava, Bratislava, Slovakia. ²Università degli studi di Torino, Dipartimento di Scienza e Tecnologia del Farmaco, Turin, Italy. ³Computer Science and Engineering Department, University of Nebraska, Lincoln, USA. ⁴GC Image LLC, Lincoln, USA)

💡 Book in your calendar: 15th Multidimensional Chromatography Workshop (MDCW) January 2024

15th Multidimensional Chromatography (MDC) Workshop 2024

Abstract

A better and comprehensive understanding of the relationship between climate conditions and nutrition is necessary to provide the human population with safe and secure access to food. The goal of the current study is to understand the effects of climate change on the detectable metabolome of hazelnuts regarding alternative post-harvest practices, as well as defects indirectly caused by global warming such as insect migrations that affect the quality of both peanuts and soy crops.

The analytical strategy, aligned to food-metabolomics principles, exploits the information potential of multi-dimensional analysis that combine physicochemical discrimination/separation of analytes with spectrometric detection, such as comprehensive two-dimensional gas chromatography coupled to time-of-flight mass spectrometry (GC×GC-TOFMS) operating in Tandem Ionisation™. The process known as untargeted and targeted (UT) fingerprinting is used in combination with chemometric algorithms to highlight metabolomic variations between composite-class images generated by re-alignment and fusion of raw data collected from samples belonging to distinct classes, thus highlighting metabolites pattern differences.

Data fusion, obtained by merging hard and soft ionization data streams, is capable to increase the information potential by exploiting both the standard MS fragmentation and higher overall sensitivity of the hard ionization and the wider dynamic range of response with an increased signal-to-noise ratio typical of the soft ionization. Moreover, aroma precursors involved in the Maillard reaction such as amino acids (i.e., threonine, valine, and tryptophan) and reducing sugars (i.e., glucose, fructose, saccharose) of both peanuts and hazelnuts were investigated to understand the quality discrepancy in the roasted products.

The Multidimensional Chromatography (MDC) Workshop
 

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