Work

Fusion of food profiling data from very different analytical techniques

Year: 2024

Type: review

Abstract: The increasing demand for safe, authentic, and high-quality food requires high-resolution and rapid analytical methods to reliably verify these properties. As a result, a variety of approaches based on different analytical techniques, for example, based on mass spectrometry, spectroscopy, or imaging, have been developed. However, these approaches often focus on specific aspects of the complex composition of food and thus only consider a small part of food properties. In order to gain a comprehensive understanding and to obtain powerful approaches for food testing, it is particularly advantageous to combine data from very different analytical techniques. The combination of data sets with different properties in particular poses challenges, and there are different approaches for their fusion. In this article, we analyze and evaluate the current state of the art for fusing very different food data from various analytical techniques and make recommendations for approaches that can usefully be applied to data fusion.

Source: Current Opinion in Food Science

DOI: 10.1016/j.cofs.2024.101256

Authors: Kim C Brettschneider, Stephan Seifert

Institution: Universität Hamburg

Language: English

Topic: Spectroscopy and Chemometric Analyses

Subfield: Analytical Chemistry

Field: Chemistry

Domain: Physical Sciences

SDG: Zero hunger

Open Access status: hybrid

Estimated APC paid: $4,230