Chiara Cordero

Chiara Cordero

Chiara Cordero is a full professor of food chemistry at the University of Turin (Torino, Italy). Her passion is gas chromatography (1D-2D) thanks to the unique opportunities it offers in foodomics. Research interests focus on the development of instrumental configurations and data processing tools for comprehensive two-dimensional GC in high-resolution profiling and fingerprinting of complex samples. Application domains include food metabolomics and volatilomics, nutrimetabolomics, and sensomics. The goal is to go beyond the current knowledge and explore the chemistry behind biological phenomena. She received the “Leslie S. Ettre Award” in 2008 as a young scientist for “presenting original research in capillary gas chromatography with an emphasis on environmental and food safety”, the “John B. Phillips Award” in 2014 for her research activity in the GC×GC field, and the Scientific Achievement Award in 2022 for her commitment in the GC×GC research community.

Articles by Chiara Cordero

fig1_L.jpg

Food quality differences are dependent on botanical and geographical origins of primary food ingredients as well as storage and handling. Quality assessment for food materials, including cocoa and olive oil, is demonstrated by applying two-dimensional gas chromatography (GC×GC) combined with time-of-flight mass spectrometry (TOF-MS) and pattern recognition.

figure 1.png

Chemical fingerprinting can provide evidence for quality differences resulting from botanical and geographical origins of primary food ingredients, post-harvest practices, production processes (such as traditional versus industrial processes), and the shelf-life evolution of finished products. This article discusses the strategic role and potential of comprehensive two-dimensional gas chromatography (GC×GC) combined with time-of-flight mass spectrometry (TOF-MS) and pattern recognition using template matching for data processing to unravel the quality traits of high-quality food products. Practical examples dealing with high-quality cocoa and extra-virgin olive oil are described.

figure 1-New-1572522327797.png

Chemical fingerprinting can provide evidence for quality differences resulting from botanical and geographical origins of primary food ingredients, post-harvest practices, production processes (such as traditional versus industrial processes), and the shelf-life evolution of finished products. This article discusses the strategic role and potential of comprehensive two-dimensional gas chromatography (GC×GC) combined with time-of-flight mass spectrometry (TOF-MS) and pattern recognition using template matching for data processing to unravel the quality traits of high-quality food products. Practical examples dealing with high-quality cocoa and extra-virgin olive oil are described.

LCGC6_i1.gif

A simple, automated, and fast method to quantify complex odorants in foods is described using stir-bar sorptive extraction (SBSE) combined with fast enantioselective GC–MS analysis. The total analytical method takes only 30 minutes and does not require any sample pretreatment.