Free Amino Acids and Biogenic Amines Profiling and Variation in Wild and Sub-Endemic Cardueae Species from Sardinia and Corse.

The cardueae are a common species in the Mediterranean area where they grow spontaneously and are traditionally employed as food and for health purposes. In this work, five Cardueae, including two sub-endemic species (four Carduus and three Ptilostemon casabonae (L.) Greuter samples from different locations) were collected from Sardinia and the Corse islands. All the considered plants are characteristic of the area, in particular the sub-endemic species C. cephalanthus and P. casabonae. This work aims to obtain, for the first time, the amino compounds profile (primary metabolites) of these little-studied species to detect for any similarities and differences among the different samples using statistical analyses. A recently developed method was employed, where diethyl ethoxymethylenemalonate (DEEMM) derivatives are detected in a neutral loss scan mode using high performance liquid chromatography in tandem with a mass spectrometry technique. In total, 42 amino compounds were detected, of which 33 were fully identified and semi-quantified. Overall, the results show that DEEMM-derivatized amino compounds are qualitatively similar among the considered samples. Nonetheless, a discrimination at the genus level is possible. This work adds more information regarding the phytochemical composition regarding the primary metabolites of the considered samples, their discriminations and the search for compounds with potential health benefits.

Phytochemical characterization of oil and protein fractions isolated from Japanese quince (Chaenomeles japonica) wine by-product.

The wine industry generates large quantities of by-products each year. Therefore, this work aimed to isolate and evaluate the oil and protein fractions of Japanese quince (Chaenomeles japonica, JQ) press residue, offering a partial utilization of valuable bioactive compounds of wine industry by-products. To study the JQ oil extract yield, composition and oxidation stability, we modified the co-solvent composition during the supercritical CO2 (SC-CO2) extraction of oil by adding different ethanol content. The remaining defatted material was used for the isolation of proteins. The SC-CO2 extraction yielded oil rich in polyunsaturated fatty acids, tocopherols, and phytosterols. The use of ethanol as a co-solvent increased the oil yield but did not enhance its oxidative stability or content of antioxidants. We recovered protein isolate after removing tannins with 70% ethanol extraction in the next step. The JQ protein isolate contained all essential amino acids. In addition to its balanced amino acid composition, the protein isolate exhibited excellent emulsifying properties highlighting its potential as a food additive. In conclusion, JQ wine by-products can be utilized for the extraction of oil and protein fractions which can be used in food or cosmetic product formulation.

Derivatization-targeted analysis of amino compounds in plant extracts in neutral loss acquisition mode by liquid chromatography-tandem mass spectrometry.

Amino compounds, such as amino acids and biogenic amines, are important metabolites that can be found in diverse natural matrices. The most common method for amino compound analysis nowadays is reversed-phase liquid chromatography tandem mass spectrometry (RPLC-MS/MS). However, due to the polar and the basic nature of amines, their RPLC retention is often insufficient or peaks are tailing. Derivatization is a way to overcome the issue and in the present work amino compounds are derivatized with diethyl ethoxymethylenemalonate (DEEMM) and analyzed by a RPLC triple quadrupole MS system in neutral loss scan (NLS) mode (loss of 46). This allows to target all compounds in the sample that undergo derivatization with DEEMM, so that the amino compound profile of the sample is obtained. To the best of our knowledge, the NLS acquisition mode has never been employed to target amino compounds after DEEMM derivatization. In the first part of the study, eight amino acids (arginine, aspartic acid, threonine, proline, tyrosine, tryptophan, phenylalanine and isoleucine) were employed as model compounds for method optimization, with good results in terms of DEEMM derivatives detection and repeatability. The developed method was successfully applied to a complex extract from the plant species Carduus nutans subsp. macrocephalus (Desf.) Nyman, with 18 amino acids and 3 other amines being identified. The proposed approach could be employed for straightforward identification of known and unknown amino compounds in different types of matrices.