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Autofocusing MALDI MS imaging of processed food exemplified by the contaminant acrylamide in German gingerbread

Title data

Wittek, Oliver ; Römpp, Andreas:
Autofocusing MALDI MS imaging of processed food exemplified by the contaminant acrylamide in German gingerbread.
In: Scientific Reports. Vol. 13 (2023) Issue 1 . - 5400.
ISSN 2045-2322
DOI: https://doi.org/10.1038/s41598-023-32004-w

Project information

Project title:
Project's official title
Project's id
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SFB 1357: MICROPLASTICS - Understanding the mechanisms and processes of biological effects, transport and formation: From model to complex systems as a basis for new solutions
391977956-SFB 1357

Project financing: Deutsche Forschungsgemeinschaft

Abstract in another language

Acrylamide is a toxic reaction product occurring in dry-heated food such as bakery products. To meet the requirements laid down in recent international legal norms calling for reduction strategies in food prone to acrylamide formation, efficient chromatography-based quantification methods are available. However, for an efficient mitigation of acrylamide levels, not only the quantity, but also the contaminant’s distributions are of interest especially in inhomogeneous food consisting of multiple ingredients. A promising tool to investigate the spatial distribution of analytes in food matrices is mass spectrometry imaging (MS imaging). In this study, an autofocusing MALDI MS imaging method was developed for German gingerbread as an example for highly processed and instable food with uneven surfaces. Next to endogenous food constituents, the process contaminant acrylamide was identified and visualized keeping a constant laser focus throughout the measurement. Statistical analyses based on relative acrylamide intensities suggest a higher contamination of nut fragments compared to the dough. In a proof-of-concept experiment, a newly developed in-situ chemical derivatization protocol is described using thiosalicylic acid for highly selective detection of acrylamide. This study presents autofocusing MS imaging as a suitable complementary method for the investigation of analytes’ distributions in complex and highly processed food.

Further data

Item Type: Article in a journal
Refereed: Yes
Institutions of the University: Faculties
Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Chair Bioanalytical Sciences and Food Analytics
Faculties > Faculty of Life Sciences: Food, Nutrition and Health > Chair Bioanalytical Sciences and Food Analytics > Chair Bioanalytical Sciences and Food Analytics - Univ.-Prof. Dr. Andreas Römpp
Faculties > Faculty of Life Sciences: Food, Nutrition and Health
Research Institutions > Collaborative Research Centers, Research Unit > SFB 1357 - MIKROPLASTIK
Graduate Schools
Graduate Schools > Bayreuth Graduate School of Mathematical and Natural Sciences (BayNAT)
Graduate Schools > Bayreuth Graduate School of Mathematical and Natural Sciences (BayNAT) > Molecular Biosciences
Research Institutions
Research Institutions > Collaborative Research Centers, Research Unit
Result of work at the UBT: Yes
DDC Subjects: 500 Science > 500 Natural sciences
500 Science > 540 Chemistry
500 Science > 570 Life sciences, biology
Date Deposited: 06 Apr 2023 06:18
Last Modified: 10 Nov 2023 07:28
URI: https://eref.uni-bayreuth.de/id/eprint/75842