Objective:

The interview with food chemist Francesco Cacciola discusses recent developments in food analysis, his group’s research, current analytical challenges, and the field’s potential future directions.

Approach:

• Analytical technologies: Cacciola describes combining advanced chromatographic separations with high-resolution mass spectrometry and targeted and untargeted approaches to investigate food metabolomes.
• Sustainability and data analysis: He discusses miniaturized sample preparation, solvent-free extraction, and non-toxic solvents as greener approaches, alongside the growing use of chemometrics, machine learning, and AI-assisted workflows to interpret complex datasets.
• Current research: Cacciola says his group develops liquid, gas, and supercritical chromatography methods to characterize bioactive compounds in foods and natural products. He is also interested in miniaturized comprehensive two-dimensional LC-MS and quantitative structure-retention relationship modeling.

Key Findings:

• Cacciola describes the integration of high-resolution mass spectrometry with advanced chromatographic separations as a major development, enabling more detailed exploration of food metabolomes and the discovery and quantification of bioactive molecules.
• He identifies sample complexity as a barrier to comprehensive coverage and quantitative accuracy, and says standardization remains a challenge for comparing results across laboratories and studies.
• Cacciola says chemometrics and machine learning can detect quality patterns in complex datasets, while automation enables researchers to process larger sample volumes.
• He describes metabolomics as a way to link food chemical fingerprints with biological and nutritional functions.
• Cacciola discusses potential applications of more powerful and sustainable analytical tools, including food-waste reduction, adulteration detection, and authentication of origin and quality.

Interpretation:

The interview covers advances in chromatography, mass spectrometry, and data-driven analysis, as well as challenges involving sample complexity, standardization, data quality, reproducibility, and interpretability.

Limitations:

• This is an expert interview; the provided text presents Cacciola’s views and does not provide a systematic review or original study results.

Conclusion:

Cacciola discusses the integration of analytical chemistry and data science, greener analytical methods, and standardization as important topics in food analysis.

Sources:

• Article context provided by the user