If you found this site useful, please cite:

Croote, D., Quake, S.R. Food allergen detection by mass spectrometry: the role of systems biology. npj Syst Biol Appl. 2016 Sep 29; 2:16022.

Allergen Targets





Tree nuts

Food Matrix


In house validation of a high resolution mass spectrometry Orbitrap-based method for multiple allergen detection in a processed model food

Pilolli, R., De Angelis, E., Monaci, L.

Analytical and Bioanalytical Chemistry (2018), 410, 22, 5653--5662 DOI: 10.1007/s00216-018-0927-8


In recent years, mass spectrometry (MS) has been establishing its role in the development of analytical methods for multiple allergen detection, but most analyses are being carried out on low-resolution mass spectrometers such as triple quadrupole or ion traps. In this investigation, performance provided by a high resolution (HR) hybrid quadrupole-Orbitrap™ MS platform for the multiple allergens detection in processed food matrix is presented. In particular, three different acquisition modes were compared: full-MS, targeted-selected ion monitoring with data-dependent fragmentation (t-SIM/dd2), and parallel reaction monitoring. In order to challenge the HR-MS platform, the sample preparation was kept as simple as possible, limited to a 30-min ultrasound-aided protein extraction followed by clean-up with disposable size exclusion cartridges. Selected peptide markers tracing for five allergenic ingredients namely skim milk, whole egg, soy flour, ground hazelnut, and ground peanut were monitored in home-made cookies chosen as model processed matrix. Timed t-SIM/dd2 was found the best choice as a good compromise between sensitivity and accuracy, accomplishing the detection of 17 peptides originating from the five allergens in the same run. The optimized method was validated in-house through the evaluation of matrix and processing effects, recoveries, and precision. The selected quantitative markers for each allergenic ingredient provided quantification of 60–100 μg ingred /g allergenic ingredient/matrix in incurred cookies.