News Picture Generic

Extraction, Identification and Enzymatic Synthesis of Acylated Derivatives of Anthocyanins from Jaboticaba (Myrciaria Cauliflora) Fruits with Chemspeed’s Fully Automated SYNTHESIZER

September 1, 2014

Polyphenols were extracted from the skin of jabuticaba fruits (Myrciaria cauliflora). Their total concentration and in vitro antioxidant activity were analysed by the DPPH and ABTS methods. The corresponding results (dry basis) were 1290 mg gallic acid equivalent (GAE)∙(100 g)-¹, 98% of DPPH radical inhibition and 120 µM TEAC∙g-¹ (ABTS method). All these values are at least as high as average values reported in the literature for other fruits. A more specific analysis of the fractions of phenolic compounds was also performed by HPLC-MS. Ellagic acid, quercetin, rutin, delphinidin-3-glucoside and cyanidin-3-glucoside were the main compounds detected; the latter two were the most abundant. The crude extract was subjected to enzymatic acylation assays in order to synthesise new esters with new potential techno-functionalities. Palmitic acid was used as acyl donor and lipase B of Candida antactica (CALB) as biocatalyst. HPLC-MS evidenced the formation of palmitic monoesters in connection with the delphinidin-3-glucoside and cyanidin-3-glucoside fractions.

For details:

Other Recent News

Discover more news articles you might be interested in

Read more about Autonomous Synthesis and Inverse Design of Electrochromic Polymers with High Efficiency and Accuracy
News Picture 1 1 V2
Featured
May
12

Autonomous Synthesis and Inverse Design of Electrochromic Polymers with High Efficiency and Accuracy

The design and synthesis of functional polymers, aimed at targeted properties through specific structures, have long been challenged by their complex and often nonlinear structure− property relationships. Key processes, including knowledge accumulation for predictive design and experimental refinement and validation, are traditionally labor-insensitive and timeconsuming, making it difficult to balance accuracy and efficiency.

Read more about Localization, inspection, and reasoning (LIRA) module for autonomous workflows in self-driving laboratories
News Picture 1 1 V2
Featured
May
5

Localization, inspection, and reasoning (LIRA) module for autonomous workflows in self-driving laboratories

Self-driving labs (SDLs) combine robotic automation with artificial intelligence (AI) to allow autonomous, high-throughput experimentation. However, robot manipulation in most SDL workflows operates in an open-loop manner, lacking real-time error detection and error correction. This can reduce reliability and overall efficiency.

© Chemspeed Technologies 2026