In vitro digestion method for estimation of copper bioaccessibility in Acai berry
Lena Ruzik , Justyna Wojcieszek
AbstractCopper is an essential trace element for humans and its deficiency can lead to numerous diseases. A lot of mineral supplements are available to increase intake of copper. Unfortunately, only a part of the total concentration of elements is available for human body. Thus, the aim of the study was to determine bioaccessibility of copper in Açai berry, known as a ‘‘superfood’’ because of its antioxidant qualities. An analytical methodology was based on size exclusion chromatography (SEC) coupled to a mass spectrometer with inductively coupled plasma (ICP MS) and on capillary liquid chromatography coupled to tandem mass spectrometer with electrospray ionization (micro-HPLC-ESI MS/MS). To extract various copper compounds, berries were treated with the following buffers: ammonium acetate, Tris–HCl, and sodium dodecyl sulfate (SDS). The best extraction efficiency of copper was obtained for SDS extract (88 %), while results obtained for Tris–HCl and ammonium acetate were very similar (47 and 48 %, respectively). After SEC–ICP–MS analysis, main signal was obtained for all extracts in the region of molecular mass about 17 kDa. A two-step model simulated gastric (pepsin) and gastrointestinal (pancreatin) digestion was used to obtain the knowledge about copper bioaccessibility. Copper compounds present in Açai berry were found to behighly bioaccessible. The structures of five copper complexes with amino acids such as aspartic acid, tyrosine, phenylalanine, were proposed after micro-HPLC-ESI MS/MS analysis. Obtained results show that copper in enzymatic extracts is bound by amino acids and peptides what leads to better bioavailability of copper for human body.
|Journal series||Monatshefte Fur Chemie, ISSN 0026-9247|
|Publication size in sheets||0.5|
|Keywords in English||Amino acids; Bioavailability; Enzymes; Mass spectrometry; Metal complexes|
|Score|| = 20.0, 28-11-2017, ArticleFromJournal|
= 25.0, 28-11-2017, ArticleFromJournal
|Publication indicators||: 2016 = 1.282 (2) - 2016=1.224 (5)|
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