Signal-Corrected LC–MS/MS Approaches in Amino Acid and Biogenic Amine Profiling for Chemometric Characterization of Commercial Dark Chocolates According to Cocoa Content and Manufacturer
Laura V. Morales, Sonia Sentellas, Javier Saurina · 2026
Read Signal-Corrected LC–MS/MS Approaches in Amino Acid and Biogenic Amine Profiling for Chemometric Characterization of Commercial Dark Chocolates According to Cocoa Content and Manufacturer by Laura V. Morales, Sonia Sentellas, Javier Saurina (2026) in the Tower of Babel, a free online library of public-domain works preserved in clean, searchable text. No sign-up. The full text is served as a plain-text file at a predictable URL, where text is present: https://antarctic-labs.com/tower-of-babel/PMC13467624.txt.
Description
Laura V. Morales, Sonia Sentellas, and Javier Saurina present a 2026 method for telling commercial dark chocolates apart by their chemistry. Chocolate makeup shifts with cocoa type, fermentation, roasting, and recipe, so reliable chemical fingerprints are hard to find. The team profiled amino acids and biogenic amines in 91 dark chocolates ranging from 56 to 100 percent cocoa, using sensitive mass spectrometry.
Because the instrument runs stretched over days, signals drifted downward by as much as 91 percent. Correction steps based on internal standards and quality-control samples improved precision up to 18-fold. In the cleaned data, 19 amino acids and 8 amines were measured, and the strongest pattern tracked cocoa content. The cleaned profiles also carried information about variety and origin, supporting chemistry-based checks of what chocolate labels claim.
Catalog record
| CREATOR | Laura V. Morales, Sonia Sentellas, Javier Saurina |
|---|---|
| YEAR | 2026 |
| COLLECTION | PAPERS |
| FORMAT | TXT |
| FILE SIZE | 47 KB |
| LICENSE | https://creativecommons.org/licenses/by/4.0 |
| RIGHTS | CC BY |
| SOURCE | Europe PMC |