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1.
Food Res Int ; 139: 109836, 2021 01.
Article in English | MEDLINE | ID: mdl-33509461

ABSTRACT

Fruits are widely recognized as sources of biologically active metabolites, such as antioxidant compounds. In this context, fruits commonly consumed in the central Amazonia, especially in its biggest metropolis (Manaus - AM/Brazil), are attractive as potential sources of antioxidant compounds related to biological activities. Most of such fruits are still poorly studied and/or remain unknown outside the Amazon region. Therefore, this study aims to investigate nine fruits (abiu, cubiu, biribá, breadfruit, genipap, peach palm, murici, soursop, and umari) regarding their chemical composition (fixed and volatile), reducing capacity, antioxidant activity, enzyme inhibition, and cytotoxicity. Determination of small organic acids, hydroxycinnamic acids, flavan-3-ols and flavonoid aglycones was done by HPLC-MS/MS, whereas determination of volatile organic compounds (VOCs) was done by HS-SPME/GC-MS. Reducing capacity was determined by the Folin-Ciocalteu method, and antioxidant activities were evaluated by DPPH, ABTS, and H-ORACFL assays. In vitro activities regarding inhibition of enzymes were tested for α-glucosidase, lipase, and α-amylase, and anti-glycation activities were evaluated for methylglyoxal and fructose. Cytotoxicity of fruit extracts was evaluated by cell viability of human fibroblast cell line (MRC-5). A total of 16 antioxidant compounds and 139 VOCs were determined, whose profiles were unique for each studied fruit. Total phenolic contents as well as antioxidant activities found herein were similar or even higher than those reported for several traditional fruits. Some of fruit extracts were able to inhibit α-glucosidase and glycation in methylglyoxal and fructose models, whereas none of them was active for lipase and α-amylase. All of the fruit extracts showed to be non-cytotoxic to MRC-5 cell line.


Subject(s)
Fruit , Malpighiaceae , Antioxidants/pharmacology , Brazil , Humans , Tandem Mass Spectrometry
2.
Phytochem Anal ; 29(6): 569-576, 2018 Nov.
Article in English | MEDLINE | ID: mdl-29691915

ABSTRACT

INTRODUCTION: Alkaloids-derived drugs are a billionaire world-market and several phytochemical investigations aim the identification of new sources and/or structures. Thus, improving the way of extracting and methods to quantify them are of utmost importance. OBJECTIVE: To quantify isoquinoline-derived alkaloids in Unonopsis duckei R.E. Fr. through a new validated high-performance liquid chromatography with tandem mass spectrometry (HPLC-MS/MS) method in combination with a statistical mixture design that aimed a proper direct extraction of these compounds from leaves. METHODOLOGY: Extracts were obtained with acetone, methanol, chloroform, and n-hexane in different combinations and proportions. Chemometrics were applied in order to compare peak areas, and therefore evaluate synergism and antagonism effects between the solvents. After selection of extraction solvent, the quantification was validated and applied in the best solvent combination to quantify the main alkaloids in U. duckei. RESULTS: Chemometrics indicated a synergistic effect between chloroform and methanol solvents, thus improving alkaloid extraction and extract yield. Analytes were quantified in a 15-min method, with limits of detection (LODs) between 0.5 and 5.2 ng/mL and limits of quantification (LOQs) between 1.6 and 17.2 ng/mL. The accuracy ranged between 80 and 120%. Coefficients of variation were lower than 17.42% at all concentrations. Concentrations of the alkaloids in U. duckei varied from 6.79 to 131.10 µg/g of dried leaf and glaziovine was found to be the main compound. CONCLUSION: The integration of simplex centroid model and quantification by HPLC-MS/MS is promising. Statistical optimisation of the alkaloid extraction and application of selective, sensitive and robust HPLC-MS/MS method will contribute to quality control applications in phytotherapeutic medicines.


Subject(s)
Annonaceae/chemistry , Aporphines/chemistry , Chromatography, Liquid/methods , Data Interpretation, Statistical , Plant Leaves/chemistry , Tandem Mass Spectrometry/methods , Models, Chemical
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