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 JF - 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 U6 - https://doi.org/10.1016/j.foodres.2020.109991 SN - 0963-9969 SN - 1873-7145 VL - 141 PB - Elsevier CY - New York, NY [u.a.] ER - TY - GEN A1 - Sandau, Ingo A1 - Chaabene, Helmi A1 - Granacher, Urs T1 - Concurrent validity of barbell force measured from video-based barbell kinematics during the snatch in male elite weightlifters T2 - Postprints der Universität Potsdam : Humanwissenschaftliche Reihe N2 - This study examined the concurrent validity of an inverse dynamic (force computed from barbell acceleration [reference method]) and a work-energy (force computed from work at the barbell [alternative method]) approach to measure the mean vertical barbell force during the snatch using kinematic data from video analysis. For this purpose, the acceleration phase of the snatch was analyzed in thirty male medal winners of the 2018 weightlifting World Championships (age: 25.2±3.1 years; body mass: 88.9±28.6 kg). Vertical barbell kinematics were measured using a custom-made 2D real-time video analysis software. Agreement between the two computational approaches was assessed using Bland-Altman analysis, Deming regression, and Pearson product-moment correlation. Further, principal component analysis in conjunction with multiple linear regression was used to assess whether individual differences related to the two approaches are due to the waveforms of the acceleration time-series data. Results indicated no mean difference (p > 0.05; d = −0.04) and an extremely large correlation (r = 0.99) between the two approaches. Despite the high agreement, the total error of individual differences was 8.2% (163.0 N). The individual differences can be explained by a multiple linear regression model (R2adj = 0.86) on principal component scores from the principal component analysis of vertical barbell acceleration time-series waveforms. Findings from this study indicate that the individual errors of force measures can be associated with the inverse dynamic approach. This approach uses vertical barbell acceleration data from video analysis that is prone to error. Therefore, it is recommended to use the work-energy approach to compute mean vertical barbell force as this approach did not rely on vertical barbell acceleration. T3 - Zweitveröffentlichungen der Universität Potsdam : Humanwissenschaftliche Reihe - 716 KW - Acceleration KW - Linear regression analysis KW - Velocity KW - Principal component analysis KW - Kinematics KW - Motion KW - Scanning electron microscopy KW - Computer Software Y1 - 2021 U6 - http://nbn-resolving.de/urn/resolver.pl?urn:nbn:de:kobv:517-opus4-521678 SN - 1866-8364 IS - 716 ER - TY - JOUR A1 - Sandau, Ingo A1 - Chaabene, Helmi A1 - Granacher, Urs T1 - Concurrent validity of barbell force measured from video-based barbell kinematics during the snatch in male elite weightlifters JF - PLOS ONE / Public Library of Science N2 - This study examined the concurrent validity of an inverse dynamic (force computed from barbell acceleration [reference method]) and a work-energy (force computed from work at the barbell [alternative method]) approach to measure the mean vertical barbell force during the snatch using kinematic data from video analysis. For this purpose, the acceleration phase of the snatch was analyzed in thirty male medal winners of the 2018 weightlifting World Championships (age: 25.2±3.1 years; body mass: 88.9±28.6 kg). Vertical barbell kinematics were measured using a custom-made 2D real-time video analysis software. Agreement between the two computational approaches was assessed using Bland-Altman analysis, Deming regression, and Pearson product-moment correlation. Further, principal component analysis in conjunction with multiple linear regression was used to assess whether individual differences related to the two approaches are due to the waveforms of the acceleration time-series data. Results indicated no mean difference (p > 0.05; d = −0.04) and an extremely large correlation (r = 0.99) between the two approaches. Despite the high agreement, the total error of individual differences was 8.2% (163.0 N). The individual differences can be explained by a multiple linear regression model (R2adj = 0.86) on principal component scores from the principal component analysis of vertical barbell acceleration time-series waveforms. Findings from this study indicate that the individual errors of force measures can be associated with the inverse dynamic approach. This approach uses vertical barbell acceleration data from video analysis that is prone to error. Therefore, it is recommended to use the work-energy approach to compute mean vertical barbell force as this approach did not rely on vertical barbell acceleration. KW - Acceleration KW - Linear regression analysis KW - Velocity KW - Principal component analysis KW - Kinematics KW - Motion KW - Scanning electron microscopy KW - Computer Software Y1 - 2021 U6 - https://doi.org/10.1371/journal.pone.0254705 SN - 1932-6203 VL - 16 IS - 7 PB - PLOS CY - San Francisco ER -