| Title: |
Statistical Analysis Applied to the Production of Mirto Liqueur |
| Authors: |
Addis, Roberta; Mannu, Alberto; Pintore, Giorgio; Petretto, Giacomo Luigi |
| Contributors: |
Addis, Roberta; Mannu, Alberto; Pintore, Giorgio; Petretto, Giacomo Luigi |
| Publication Year: |
2024 |
| Collection: |
RE.PUBLIC@POLIMI - Research Publications at Politecnico di Milano |
| Subject Terms: |
anthocyanin; design of experiments; Myrtus communis; antioxidant activity |
| Description: |
Preparation of myrtle liqueur through ethanol-based extraction is a widely employed methodology. Nevertheless, optimization of existing processes is possible, especially through a modern statistical multivariate approach. In this context, a Design of Experiments (DoE) approach was used to quantitatively assess for the first time the effect of the time, ethanol concentration, temperature, and the ratio between the Myrtus communis berries' weight and the extractant volume (v/w) on the amounts of anthocyanins, volatile compounds and dry residues in the liqueur. The kinetic profile relative to the volatile fraction variation during the process was described by gas chromatography (GC), while spectrophotometric analysis allowed quantification of the total anthocyanins and total polyphenols. Multiple response analysis showed that the maximum efficiencies in terms of the considered parameters (desirability function) were reached by setting the temperature to 25 degrees C and the ethanol percentage to 96% after 20 days of processing. Some hints as to the chemical instability and not negligible sensitivity of anthocyanins in relation to the experimental conditions for longer extraction times were also observed. The statistical model represents a novel tool for industrial production of myrtle liqueur. |
| Document Type: |
article in journal/newspaper |
| File Description: |
ELETTRONICO |
| Language: |
English |
| Relation: |
info:eu-repo/semantics/altIdentifier/wos/WOS:001278197200001; volume:14; issue:14; firstpage:1; lastpage:14; numberofpages:14; journal:APPLIED SCIENCES; https://hdl.handle.net/11311/1271844 |
| DOI: |
10.3390/app14145973 |
| Availability: |
https://hdl.handle.net/11311/1271844; https://doi.org/10.3390/app14145973 |
| Rights: |
info:eu-repo/semantics/openAccess |
| Accession Number: |
edsbas.B78C04CA |
| Database: |
BASE |