Table 5.
DDA MS/MS results for 16 min baked cookies incurred with trace amounts of peanuts (0–1000 μg∙g−1 matrix) after protein enrichment via peptide ligand library—ProteoMiner™.
| Amount of peanut μg∙g−1 matrix | Protein identification | Peptides (m/z, charge) | MS/MS |
|---|---|---|---|
| 10 | Negative | ||
| 100 | Ara h 3/Ara h 4 | LNAQRPDNR (361.9, 3+) | 1, 1, 1 |
| Ara h 4 Glycinin | |||
| Ara h 3 Glycinin | |||
| 1000 | Ara h 3/Ara h 4 | LNAQRPDNR (361.9, 3+) | 2, 1, 1 |
| Ara h 4 Glycinin | AHVQVVDSNGDNR (432.5, 3+) | 1, 1, 1 | |
| Ara h 3 Glycinin | SPDIYNPQAGSLK (695.4, 2+) | 1, 1, 1 | |
| QIVQNLR (435.8, 2+) | 1, 1, 1 | ||
| GENESDEQGAIVTVR (802.4, 2+) | 1, 1, 0 |
Peptides were selected based on E-values lower than 0.05. E-value is the probability of a random peptide identification. Results are based on three independent extractions.