| Literature DB >> 26861353 |
Dario Donno1, Maria Gabriella Mellano2, Alessandro Kim Cerutti3, Gabriele Loris Beccaro4.
Abstract
It is well known that plants are important sources for the preparation of natural remedies as they contain many biologically active compounds. In particular, polyphenols, terpenic compounds, organic acids, and vitamins are the most widely occurring groups of phytochemicals. Some endemic species may be used for the production of herbal preparations containing phytochemicals with significant bioactivity, as antioxidant activity and anti-inflammatory capacities, and health benefits. Blackberry sprouts and blackcurrant buds are known to contain appreciable levels of bioactive compounds, including flavonols, phenolic acids, monoterpenes, vitamin C, and catechins, with several clinical effects. The aim of this research was to perform an analytical study of blackcurrant and blackberry bud-preparations, in order to identify and quantify the main biomarkers, obtaining a specific phytochemical fingerprint to evaluate the single botanical class contribution to total phytocomplex and relative bioactivity, using a High Performance Liquid Chromatograph-Diode Array Detector; the same analyses were performed both on the University laboratory and commercial preparations. Different chromatographic methods were used to determine concentrations of biomolecules in the preparations, allowing for quantification of statistically significant differences in their bioactive compound content both in the case of Ribes nigrum and Rubus cultivated varieties at different harvest stages. In blackcurrant bud-extracts the most important class was organic acids (50.98%) followed by monoterpenes (14.05%), while in blackberry preparations the main bioactive classes were catechins (50.06%) and organic acids (27.34%). Chemical, pharmaceutical and agronomic-environmental knowledge could be important for obtaining label certifications for the valorization of specific genotypes, with high clinical and pharmaceutical value: this study allowed to develop an effective tool for the natural preparation quality control and bioactivity evaluation through the chemical fingerprinting of bud preparations.Entities:
Keywords: Ribes nigrum; Rubus cultivated varieties; bioactivity; biomarkers; bud-extracts; herbal preparations; phytochemical fingerprint
Year: 2016 PMID: 26861353 PMCID: PMC4812371 DOI: 10.3390/ph9010007
Source DB: PubMed Journal: Pharmaceuticals (Basel) ISSN: 1424-8247
Figure 1Effect of bud phenological stage on the bioactive compound content (TBCC) in final blackcurrant bud-preparations. Different letters for each sample indicate the significant differences at p < 0.05.
Figure 2Effect of bud phenological stage on the bioactive compound content in blackberry final bud-preparations. Different letters for each sample indicate the significant differences at p < 0.05.
Figure 3Total bioactive compound content in commercial bud-preparations. Different letters for each sample indicate the significant differences at p < 0.05.
Figure 4Contribution of each bioactive class to blackcurrant total phytocomplex. For the phytocomplex graphical representation, the second phenological stage was selected (bud break). Mean values of all the analyzed genotypes were considered.
Figure 5Contribution of each bioactive class to blackberry total phytocomplex. For the phytocomplex graphical representation, the second phenological stage was selected (bud break). Mean values of all the analyzed genotypes were considered.
Figure 6Contribution of each bioactive class to total phytocomplex in commercial bud-preparations.
Genotype, sampling time, provenience and identification code of the analyzed bud-preparations.
| Species | Genotype | Year | Germplasm repository | Identification code |
|---|---|---|---|---|
| Rozenthal | 2014 | San Secondo di Pinerolo, Torino, Italy | RR | |
| Tenah | RT | |||
| Black Pearl | 2014 | Grugliasco, Torino, Italy | RRBP | |
| Kiowa | RRK | |||
| Wild variety | RRW | |||
| Company 1 | 2013 | San Gregorio di Catania, Catania, Italy | RC1 | |
| Company 2 | Predappio, Forlì-Cesena, Italy | RC2 | ||
| Company 1 | 2013 | San Gregorio di Catania, Catania, Italy | RRC1 | |
| Company 2 | Predappio, Forlì-Cesena, Italy | RRC2 | ||
Chromatographic conditions of each used method [10].
| Method | Compounds of interest | Stationary phase | Mobile phase | Flow | Time of analysis | Gradient | Wavelenght |
|---|---|---|---|---|---|---|---|
| A | cinnamic acids, flavonols | KINETEX–C18 column (4.6×150 mm, 5 μm) | A: 10 mM KH2PO4/H3PO4, pH=2.8; | 1.5 | 20+2 (CT) | Yes | 330 |
| B: CH3CN | |||||||
| B | benzoic acids, catechins | KINETEX–C18 column (4.6×150 mm, 5 μm) | A: H2O/CH3OH/HCOOH (5:95:0.1 v/v/v), pH=2.5; | 0.6 | 23+2 (CT) | Yes | 280 |
| B: CH3OH/HCOOH (100:0.1 v/v) | |||||||
| C | monoterpenes | KINETEX–C18 column (4.6×150 mm, 5 μm) | A: H2O; | 1.0 | 17+3 (CT) | Yes | 210, 220, |
| B: CH3CN | 235, 250 | ||||||
| D | organic acids | KINETEX–C18 column (4.6×150 mm, 5 μm) | A: 10 mM KH2PO4/H3PO4, pH=2.8; | 0.6 | 13+2 (CT) | No | 214 |
| B: CH3CN | |||||||
| E | vitamins | KINETEX–C18 column (4.6×150 mm, 5 μm) | A: 5 mM C16H33N(CH3)3Br/50 mM KH2PO4, pH=2.5; | 0.9 | 10+5 (CT) | No | 261, 348 |
| B: CH3OH |
Identification standard codes, standard tR, calibration curve equations, R, calibration curve ranges, LOD, and LOQ of the used chromatographic methods for each calibration standard [10].
| Class | Standard | Identification code | Retention time (tR) (min) | Wavelenght (nm) | Method | Calibration curve equation | Calibration curve range (mg L−1) | LOD (mg L−1) | LOQ (mg L−1) | |
|---|---|---|---|---|---|---|---|---|---|---|
| Cinnamic acids | caffeic acid | 1 | 4.54 | 330 | A | y = 59.046x + 200.6 | 0.996 | 111–500 | 0.305 | 1.016 |
| chlorogenic acid | 2 | 3.89 | 330 | A | y = 13.583x + 760.05 | 0.984 | 111–500 | 0.940 | 3.134 | |
| coumaric acid | 3 | 6.74 | 330 | A | y = 8.9342x + 217.4 | 0.997 | 111–500 | 2.907 | 9.690 | |
| ferulic acid | 4 | 7.99 | 330 | A | y = 3.3963x − 4.9524 | 1.000 | 111–500 | 1.245 | 4.150 | |
| Flavonols | hyperoside | 5 | 10.89 | 330 | A | y = 7.1322x − 4.583 | 0.999 | 111–500 | 3.372 | 11.241 |
| isoquercitrin | 6 | 11.24 | 330 | A | y = 8.3078x + 26.621 | 0.999 | 111–500 | 0.252 | 0.840 | |
| quercetin | 7 | 17.67 | 330 | A | y = 3.4095x − 98.307 | 0.998 | 111–500 | 4.055 | 13.518 | |
| quercitrin | 8 | 13.28 | 330 | A | y = 2.7413x + 5.6367 | 0.998 | 111–500 | 5.456 | 18.187 | |
| rutin | 9 | 12.95 | 330 | A | y = 6.5808x + 30.831 | 0.999 | 111–500 | 2.937 | 9.790 | |
| Benzoic acids | ellagic acid | 10 | 18.65 | 280 | B | y = 29.954x + 184.52 | 0.998 | 62.5–250 | 0.611 | 2.035 |
| gallic acid | 11 | 4.26 | 280 | B | y = 44.996x + 261.86 | 0.999 | 62.5–250 | 0.435 | 1.451 | |
| Catechins | catechin | 12 | 10.31 | 280 | B | y = 8.9197x + 66.952 | 1.000 | 62.5–250 | 2.343 | 7.809 |
| epicatechin | 13 | 14.30 | 280 | B | y = 12.88x − 43.816 | 0.999 | 62.5–250 | 0.763 | 2.543 | |
| Monoterpenes | limonene | 14 | 3.35 | 250 | C | y = 0.1894x − 5.420 | 0.999 | 125–1000 | 8.654 | 28.847 |
| phellandrene | 15 | 3.57 | 210 | C | y = 8.783x − 145.3 | 0.998 | 125–1000 | 0.562 | 1.874 | |
| sabinene | 16 | 3.45 | 220 | C | y = 18.14x − 1004 | 0.998 | 125–1000 | 0.094 | 0.314 | |
| γ-terpinene | 17 | 3.28 | 235 | C | y = 0.4886x − 23.02 | 0.999 | 125–1000 | 17.577 | 58.590 | |
| terpinolene | 18 | 4.83 | 220 | C | y = 26.52x + 876.8 | 0.999 | 125–1000 | 0.241 | 0.804 | |
| Organic acids | citric acid | 19 | 5.30 | 214 | D | y = 1.0603x − 22.092 | 1.000 | 167–1000 | 18.805 | 62.682 |
| malic acid | 20 | 4.03 | 214 | D | y = 1.415x − 80.254 | 0.996 | 167–1000 | 15.721 | 52.404 | |
| oxalic acid | 21 | 7.85 | 214 | D | y = 6.4502x + 6.1503 | 0.998 | 167–1000 | 0.550 | 1.835 | |
| quinic acid | 22 | 3.21 | 214 | D | y = 0.8087x − 38.021 | 0.998 | 167–1000 | 26.106 | 87.021 | |
| succinic acid | 23 | 3.46 | 214 | D | y = 0.9236x − 8.0823 | 0.995 | 167–1000 | 7.135 | 23.783 | |
| tartaric acid | 24 | 5.69 | 214 | D | y = 1.8427x + 15.796 | 1.000 | 167–1000 | 8.520 | 28.401 | |
| Vitamins | ascorbic acid | 25 | 4.14 | 261 | E | y = 42.71x + 27.969 | 0.999 | 100–1000 | 0.836 | 2.786 |
| dehydroascorbic acid | 26 | 3.41 | 348 | E | y = 4.1628x + 140.01 | 0.999 | 30–300 | 1.095 | 3.649 |
Figure 7Chemical structures of the main selected biomarkers.