TY  - JOUR
A1  - Silva, Bibiana
A1  - Oliveira Costa, Ana Carolina
A1  - Tchewonpi, Sorel Sagu
A1  - Bönick, Josephine
A1  - Huschek, Gerd
A1  - Gonzaga, Luciano Valdemiro
A1  - Fett, Roseane
A1  - Baldermann, Susanne
A1  - Rawel, Harshadrai Manilal
T1  - Comparative quantification and differentiation of bracatinga (Mimosa scabrella Bentham) honeydew honey proteins using targeted peptide markers identified by high-resolution mass spectrometry
T2  - Food research international
N2  - Honey traceability is an important topic, especially for honeydew honeys, due to the increased incidence of adulteration. This study aimed to establish specific markers to quantify proteins in honey. A proteomics strategy to identify marker peptides from bracatinga honeydew honey was therefore developed. The proteomics approach was based on initial untargeted identification of honey proteins and peptides by LC-ESI-Triple-TOF-MS/MS, which identified the major royal jelly proteins (MRJP) presence. Afterwards, the peptides were selected by the in silico digestion. The marker peptides were quantified by the developed targeted LC-QqQ-MS/MS method, which provided good linearity and specificity, besides recoveries between 92 and 100% to quantify peptides from bracatinga honeydew honey. The uniqueness and high response in mass spectrometry were backed by further complementary protein analysis (SDS-PAGE). The selected marker peptides EALPHVPIFDR (MRJP 1), ILGANVK (MRJP 2), TFVTIER (MRJP 3), QNIDVVAR (MRJP 4), FINNDYNFNEVNFR (MRJP 5) and LLQPYPDWSWTK (MRJP 7), quantified by LC-QqQ-MS/MS, highlighted that the content of QNIDVVAR from MRJP 4 could be used to differentiate bracatinga honeydew honey from floral honeys (p < 0.05) as a potential marker for its authentication. Finally, principal components analysis highlighted the QNIDVVAR content as a good descriptor of the analyzed bracatinga honeydew honey samples.
KW  - Honeydew honey
KW  - Major royal jelly proteins
KW  - Marker peptides
KW  - High-resolution mass spectrometry
KW  - Principal component analysis
Y1  - 2020
UR  - https://publishup.uni-potsdam.de/frontdoor/index/index/docId/63834
SN  - 0963-9969
SN  - 1873-7145
VL  - 141
PB  - Elsevier
CY  - New York, NY [u.a.]
ER  -