Food authentication
8 workflows · 2007–2026
Food authentication: Telling species and processing apart in food, using peptide markers that survive cooking. 8 catalogued workflows and 9 papers.
Telling species and processing apart in food, using peptide markers that survive cooking.
| Workflows | 8 |
| Papers | 9 |
| Authors | 49 |
| Active | 2007-08-01 to 2026-07-16 |
Workflows (8)
- Merlucciidae species-specific peptides (2007): Sequenced nucleoside diphosphate kinase B from hake and grenadier species de novo and identified species-specific peptides usable for fish authentication.
- Parvalbumin allergen isoform sequencing (2010): Characterises new parvalbumin isoforms, the major fish allergens, by combining bottom-up proteomics, accurate intact mass by FTICR and selected MS/MS ion monitoring, with the sequences read de novo.
- Coconut pollen allergen mining (2015): Mines novel allergens from coconut pollen, a significant respiratory sensitiser in India, by manual de novo sequencing combined with homology-driven proteomics.
- Macadamia nut allergen identification (2022): Identifies vicilin, legumin and antimicrobial peptide 2a as macadamia nut allergens from IgE-binding bands by tandem MS with de novo sequencing.
- Pheretima natural peptide authentication (2023): Combines proteogenomic databases with open and de novo search to characterise earthworm natural peptides and derive species marker peptides for traditional medicines.
- Protein hydrolysate compositional profiling (2025): LC-HRMS/MS and chemometric profiling of soy, cotton, wheat, rice and meat hydrolysates, annotating short peptides by de novo sequencing plus homology search to differentiate batches and manufacturing processes.
- Food inspection de novo peptide screening (2026): Database-free food inspection workflow: de novo sequencing of MS/MS spectra on a ZenoTOF 7600 for species identification and quantitation in food extracts, with database search as a complementary step, aimed at unknown contaminants and food fraud.
- Processed meat species markers (2026): De novo peptide sequencing workflow combining FBDA peptide derivatization, dual-polarity DIA-MS, and SCX fractionation to discover species-specific markers (myosin, troponin) in highly processed pork, chicken and bovine meat products, enabling detection of adulteration down to 10 % species contamination.
Papers (9)
- De Novo Mass Spectrometry Sequencing and Characterization of Species-Specific Peptides from Nucleoside Diphosphate Kinase B for the Classification of Commercial Fish Species Belonging to the Family Merlucciidae (2007, Journal of Proteome Research, peer-reviewed)
- Extensive De Novo Sequencing of New Parvalbumin Isoforms Using a Novel Combination of Bottom-Up Proteomics, Accurate Molecular Mass Measurement by FTICR−MS, and Selected MS/MS Ion Monitoring (2010, Journal of Proteome Research, peer-reviewed)
- Mining Novel Allergens from Coconut Pollen Employing Manual De Novo Sequencing and Homology-Driven Proteomics (2015, Journal of Proteome Research, peer-reviewed)
- Identification of vicilin, legumin and antimicrobial peptide 2a as macadamia nut allergens (2022, Food Chemistry, peer-reviewed)
- Characterization of natural peptides in Pheretima by integrating proteogenomics and label-free peptidomics (2023, Journal of Pharmaceutical Analysis, peer-reviewed)
- Compositional profiling of protein hydrolysates by high resolution liquid chromatography–mass spectrometry and chemometric analysis (2025, Food Chemistry, peer-reviewed)
- Towards the establishment of a comprehensive food inspection system: an approach to utilise de novo peptide sequencing from MS/MS spectra (2026, SSRN Electronic Journal, preprint)
- Identification of Species-Specific Peptide Markers in Highly Processed Meat Products Using De Novo Sequencing (2026, Foods, peer-reviewed)
- Towards the establishment of a comprehensive food inspection system: An approach to utilize de novo peptide sequencing from MS/MS spectra (2026, Food and Humanity, peer-reviewed)
Sequencing tools these papers used
Where the work happened
Australia, Austria, China, Croatia, Ireland, Japan, Spain