Valorization of raspberry seeds using acidic NADES: A preliminary study
Date
2022-09Author
Teslić, Nemanja
Oliveira, Filipe
Santos, Filipa
Stupar, Alena
Pojić, Milica
Mandić, Anamarija
Pavlić, Branimir
Cvetanović, Aleksandra
Duarte, Ana Rita C.
Mišan, Aleksandra
Metadata
Show full item recordAbstract
By-products of raspberry seeds fruit processing industry are rich in bioactive compounds. Ellagic acid (EA) is a polyphenol
naturally present in raspberry seeds which has antioxidant, hepatoprotective, antimicrobial, anti-carcinogenic, antiinflammatory
activity, among other interesting bioactivities. EA majority is bonded in the form of ellagitannins (ETs) which
have lower bioactivity when comparing to EA. Hence, ETs have to be hydrolysed to EA. Classical acid hydrolysis of ETs requires
utilization of mineral acids (e.g. HCl) and alcohol (e.g. MeOH) which are detrimental for human health and hazardous for the
environment. Natural Deep Eutectic Systems (NADES) composed of e.g. citric acid and betaine could serve as alternative medium
for the hydrolysis process. This would allow to production edible, non-toxic and ready-to-use extracts which could be further used
in food and cosmetic industry. Hydrolysis of ETs to EA using NADES is determined by numerous parameters (e.g. temperature,
time, molar ratio of citric acid and betaine in NADES, water content in NADES, NADES/plant ratio etc.) and process optimization
with all variables could be time consuming, inefficient and expensive. Thus, it is necessary to reduce their number and determine
the most influential variables prior to final optimization step. For that purpose, 25-1 factorial experimental design was applied
with a total of 16 experimental setups. The obtained extracts were analysed in terms of EA content which was determined by
HPLC method, total polyphenol content analysed with Folin-Ciocalteu procedure and in vitro antioxidant activity determined by
DPPH assay. Among all selected variables, NADES/plant ratio, temperature, and time, exhibited the highest impact on EA content,
thus, these parameters should be selected for the final optimization step.