Phenol profiles and antioxidant capacities of Bistort Rhizoma (Polygonum bistorta L.) extracts

Shao-Teng Wang , Wen Gao, Ya-Xi Fan, Xin-Guang Liu, Ke Liu, Yuan Du, Ling-Li Wang, Hui-Jun Li, Ping Li* and Hua Yang*
State Key Laboratory of Natural Medicines, China Pharmaceutical University, No. 24 Tongjia Lane, Nanjing 210009, People’s Republic of China. E-mail: 104yang104@163.com; liping2004@126.com; Fax: +86 25 8327 1379; Tel: +86 25 8327 1379

Received 9th January 2016 , Accepted 1st March 2016

First published on 2nd March 2016


Abstract

Bistort Rhizoma (BR) is consumed as a traditional medicinal herb in China, but there reports on its bioactive components are scarce. In the present study, a fingerprinting analysis was built in 35 batches of BR from various sources, and five major compounds, the content of total phenols (TP) as well as total extractable tannins (TET) were measured. The antioxidant properties were examined by three methods, and then the correlation coefficients between antioxidant activity and content of BR properties were evaluated. The results showed that the content of TP was significantly correlated with the herbal antioxidant activity (R2 = 0.5501 in the DPPH assay; R2 = 0.6387 in the ABTS assay and R2 = 0.6722 in the FRAP assay) but the five major components are not, TET also partly influenced the herbal efficiency. In conclusion, the properties responsible for the antioxidant activity of BR are phenols, and the active constituents may be some trace phenols in BR, which need further study to unravel the truly active compounds.


1. Introduction

Antioxidants are an important group of medicinal preventive compounds as well as being food additives inhibiting detrimental changes of easily oxidizable nutrients.1 Naturally occurring phenolic compounds have been recognized as an important class of antioxidants,2 such as anthocyanins, tannins, flavanones, isoflavones, resveratrol and ellagic acid, and they are currently used as in scientific research and industry as pharmaceutical, nutraceuticals and/or functional foods.3 In recent years, considering the side effects of synthetic antioxidants such as carcinogenicity,4 interest has considerably increased in finding new natural, safe and economical antioxidant substances, especially from abundant and low-value raw materials.

Bistort Rhizoma (Polygonum bistorta L.), is a widely clinically-deployed herb for the treatment of dysentery with bloody stools, diarrhea in acute gastroenteritis and venomous snake bites.5 It has been reported that BR contains large amounts of phenolic compounds.6,7 In our preliminary work, 31 trace polyphenols in BR were quickly identified using weak anion-exchange solid phase extraction (SPE) and high performance liquid chromatography-quadrupole time-of-flight mass spectrometry (HPLC-QTOF MS),8 which may be a potential antioxidant source. Several pharmacological studies demonstrated that BR has anti-oxidative and antimicrobial,9 and other biological activities. To the best of our knowledge, no report has revealed the constituents responsible for the anti-oxidative activity of BR extracts.

Due to the complexity of the composition of the herb, separating each antioxidant compound and studying each one is both costly and inefficient. However, synergistic interactions among the antioxidant compounds may be possible in a medicinal plant mixture. Many factors such as geographic and environmental differences of growing conditions could affect the batch-to-batch uniformity of herbal products. Unlike chemical drugs, herbal medicines contain relatively unrefined mixtures of phytochemical compounds and thus present a great challenge in discovering the active ingredients exactly responsible for certain biological activities. It is necessary to identify a single compound or a combination of chemical compounds which act together to elicit pharmacological effects and could be representative of the whole herbal medicine.10

In the present investigation, the content of total phenols (TP), the content of total extractable tannins (TET) and five major compounds of 35 batches of the BR sample were determined by spectrophotometry coupled with precipitation methods and high-performance liquid chromatography with variable wavelength detection (HPLC-VWD), respectively. Antioxidant activity against organic free radicals and reducing power were assayed by three tests: 1,1-diphenyl-2-picrylhydrazyl radical (DPPH), 2,2′-azinobis(3-ethylbenzothiazoline sulfonate) (ABTS) and ferric-reducing antioxidant power (FRAP) methods. This study was aimed at discovering and identifying the effective ingredients that are most relevant with antioxidant activity of BR.

2. Experimental

2.1. Chemicals and reagents

Acetonitrile (ACN) of HPLC grade was purchased from Tedia (Ohio, USA), and formic acid with a purity of 96% is of HPLC grade (Tedia, USA). Deionized water (18 MΩ) was prepared by a Milli-Q system (Millipore, Milford, MA, USA). The Folin–Ciocalteu reagent, ascorbic acid, 1,1-diphenyl-2-picrylhydrazyl (DPPH), 2,2′-azinobis-3-ethyl-benzothiazolin-6-sulfonic acid (ABTS) and 2,3,4-tris(2-pyridyl)-s-triazine (TPTZ) were purchased from Sigma-Aldrich (St. Louis, MO, USA). Iron chloride hexahydrate, ferrous sulfate, sodium acetate trihydrate and potassium persulfate were purchased from Xilong Chemical Co., Ltd (Shantou, China). These solutions were wrapped in aluminum foil and stored at 4 °C. Methanol and acetic acid of analytical grade was purchased from Jiangsu Hanbang Chemical Reagent Co., Ltd. (Nanjing, China). Other reagents and chemicals were of analytical grade.

Three reference compounds including gallic acid (1), catechin (4) and chlorogenic acid (5) were purchased from the National Institute for the Control of Pharmaceutical and Biological Products with a purity of more than 95%. Standard stock solution 1, contains two accurately weighed reference compounds (1 and 4) directly prepared in methanol at final concentrations of 0.48 mg mL−1 and 0.41 mg mL−1, respectively. Standard stock solution 2 contains chlorogenic acid compounds (5) at a final concentration of 0.84 mg mL−1 for high-performance liquid chromatography with variable wavelength detection (HPLC-VWD). These two kinds of standard stock solutions were prepared by diluting the stock solutions with methanol to a series of concentrations. These solutions were stored at 4 °C for further study.

2.2. Plant materials and extraction

2.2.1. Plant materials. A total of 35 BR samples (batch no. S1–S35) were collected from Gansu, Hunan, Jiangsu, Zhejiang, Yunnan, Sichuan, Guizhou, Jilin, Liaoning, Inner Mongolia, Hebei, Anhui and Henan Province of China (Table 1). Among them, 7 batches (batch no. S1, S5, S16, S24, S28, S29 and S30) were gathered by our staff and other batches were purchased from local drugstores. All of the BR samples were authenticated by Prof. Hui-Jun Li at China Pharmaceutical University. BR was powdered and sieved through a no. 60 mesh, then dried at 50 °C in an oven for 4 h.
Table 1 Total phenol and tannin content in BR extracts from different regionsa
Sample Source TPa (mg GAE per g) NPPa (mg GAE per g) TETa (mg GAE per g) DPPH-IC50 (μg mL−1) ABTS-IC50 (μg mL−1) Fe2+ (μmol L−1)
a TP means total phenols, NPP means non-precipitable phenols, TET means total extractable tannins. a,bData are represented as mean ± SD.
S1 Gansu 71.1245 68.0329 3.0916 18.4792 ± 0.0741b 2444.1021 ± 61.4602 0.6234 ± 0.0039
S2 Gansu 79.3686 39.1784 40.1902 19.2266 ± 0.1055 2059.7285 ± 36.4010 0.9563 ± 0.0033
S3 Zhejiang 109.9095 38.0542 71.8552 15.1230 ± 0.0474 1158.4977 ± 37.3661 0.8464 ± 0.0041
S4 Zhejiang 122.6504 50.0457 72.6047 11.6930 ± 0.0820 1119.5334 ± 35.8312 1.1886 ± 0.0362
S5 Gansu 80.8676 35.6185 45.2491 11.5191 ± 0.1268 1979.1563 ± 72.7460 0.7905 ± 0.0046
S6 Gansu 72.9982 33.1827 39.8155 18.1117 ± 0.1093 1756.8321 ± 14.9422 0.8428 ± 0.0177
S7 Guizhou 56.5099 24.9385 31.5713 24.1025 ± 0.0957 3029.5864 ± 159.2863 0.4566 ± 0.0059
S8 Hebei 102.0401 35.0564 66.9837 9.3385 ± 0.2790 1347.3250 ± 36.2033 0.7333 ± 0.0031
S9 Gansu 105.6000 67.2835 38.3165 10.3053 ± 0.0682 1527.6013 ± 8.6406 0.7243 ± 0.0030
S10 Hebei 110.3779 12.5911 97.7868 9.8618 ± 0.0713 842.8758 ± 29.2474 1.2570 ± 0.0100
S11 Inner Mongolia 50.1394 33.7448 16.3946 25.0544 ± 0.0901 3572.1481 ± 82.4181 0.4691 ± 0.0012
S12 Gansu 107.2863 68.2203 39.0660 10.5213 ± 0.0741 1329.0967 ± 18.0452 0.7382 ± 0.0019
S13 Guizhou 35.4311 22.0344 13.3967 35.6198 ± 0.1067 5895.9146 ± 94.8863 0.4294 ± 0.0040
S14 Henan 95.1075 40.4900 54.6175 15.7570 ± 0.0729 1515.4999 ± 13.9314 1.1787 ± 0.0372
S15 Zhejiang 65.8782 26.9996 38.8786 22.6743 ± 0.0593 1472.1550 ± 26.1829 0.5188 ± 0.0180
S16 Guizhou 85.3644 26.4375 58.9269 11.3237 ± 0.0344 1112.0322 ± 16.3812 0.6746 ± 0.0163
S17 Huabei 25.6880 15.5702 10.1178 90.5082 ± 0.7056 5992.9238 ± 208.3781 0.2441 ± 0.0011
S18 Guizhou 65.4098 41.9889 23.4209 20.1477 ± 0.1025 2103.1843 ± 62.1890 0.5832 ± 0.0020
S19 Guizhou 94.3580 36.5553 57.8027 15.9717 ± 0.2858 1497.9685 ± 23.8894 0.6513 ± 0.0034
S20 Guizhou 34.3069 20.6291 13.6778 52.9639 ± 0.3024 5753.4787 ± 24.4100 0.1935 ± 0.0151
S21 Liaoning 152.1607 49.2962 102.8645 8.8378 ± 0.0444 916.6795 ± 1.9447 1.2097 ± 0.0172
S22 Anhui 81.1486 33.7448 47.4038 22.7801 ± 0.1027 1753.7040 ± 54.2327 0.6917 ± 0.0173
S23 Jiangsu 25.8754 23.0649 2.8105 67.5449 ± 0.4322 5587.1468 ± 135.5964 0.2897 ± 0.0070
S24 Yunnan 88.4559 25.6880 62.7679 24.4970 ± 0.0881 1960.0167 ± 49.2870 0.7802 ± 0.0021
S25 Jilin 71.0308 30.3722 40.6586 24.0673 ± 0.1828 1771.4861 ± 54.9255 0.5754 ± 0.0043
S26 Yunnan 71.7803 30.7469 41.0334 24.7082 ± 0.4415 1734.4158 ± 23.4199 0.4573 ± 0.0031
S27 Sichuan 57.9151 24.7512 33.1640 41.8828 ± 0.1474 2086.4714 ± 41.4331 0.6986 ± 0.0260
S28 Dongbei 76.4645 33.7448 42.7197 31.8608 ± 0.1336 1417.5029 ± 34.7313 0.4199 ± 0.0392
S29 Dongbei 53.6057 32.2459 21.3598 39.1583 ± 0.3640 2451.5044 ± 45.4019 0.4482 ± 0.0024
S30 Yunnan 64.8477 24.3764 40.4713 32.8514 ± 0.7623 1835.0333 ± 18.8329 0.5332 ± 0.0021
S31 Sichuan 62.7867 28.6859 34.1008 31.6641 ± 0.7187 2150.6292 ± 11.8453 0.5372 ±[thin space (1/6-em)]0.0021
S32 Dongbei 93.2338 36.3679 56.8659 27.3121 ± 0.2132 1432.8144 ± 13.3125 0.655 ± 0.0190
S33 Sichuan 150.4744 60.1635 90.3109 14.0262 ± 0.1094 861.2609 ± 25.8427 0.9903 ± 0.0033
S34 Hubei 102.1337 80.5865 21.5472 22.0211 ± 0.1297 1929.6395 ± 28.6538 0.8383 ± 0.0025
S35 Anhui 110.3779 107.0053 3.3726 26.4372 ± 0.2509 1228.8878 ± 10.4266 0.6775 ± 0.0151


2.2.2. Sample preparation. About 0.5 g of dried Bistort Rhizoma was transferred, finely powdered and accurately weighed, to a 100 mL glass-stoppered conical flask, followed by the addition of 20 mL of 70% methanol and after weighing the filled flask with a precision of ±0.01 g, sonicated for 40 minutes (140 W, 100 kHz). The extract was allowed to cool and adjusted to the initial weight by corresponding solvent as needed. After centrifuging at 13[thin space (1/6-em)]000 rpm for 10 min, the supernatant was separated and stored at 4 °C in airtight containers prior to analysis by HPLC-VWD.

2.3. Evaluation of the antioxidant capacity

All reactive oxygen species (ROS) scavenging capacities studied in this research were evaluated spectrophotometrically. Ascorbic acid was used as a positive control. A control group was performed without adding BR extract or the standard. Samples were analyzed in triplicate. The percentage of scavenging effect was calculated by using the following formula:11
 
ROS scavenging effect (%) = [(A0A1)/A0] × 100 (1)
where A0 is the absorbance of the control (without antioxidant), and A1 is the absorbance of the solutions in the presence of antioxidant. For comparison purposes, the antiradical activity (three replicates per treatment) was expressed as IC50 (mg mL−1) or 1/IC50 in DPPH assay and ABTS assay, so that the higher antioxidant efficiency value would correspond to a better scavenging activity. The IC50 value, which is the concentration of the sample required to scavenge 50% of reactive species, was determined graphically from the curve plotted for BR extracts or standards concentration (mg mL−1) vs. inhibition (%).
2.3.1. DPPH assay. The electron donation ability of the obtained methanol BR extracts was measured by bleaching the purple-colored solution of 1,1-diphenyl-2-picrylhydrazyl radical (DPPH) according to the method described in the literature12 with slight modification. For DPPH radicals assay, methanol solutions (0.1 mL) of BR extracts with concentrations of 0.75–40 μg mL−1 were mixed with a freshly prepared DPPH solution (0.1 mL, 0.1 mM in methanol).13 The mixture was shaken vigorously and left to stand for 30 min in the dark at room temperature and the absorbance was read at 517 nm. The ability to scavenge the DPPH radical was calculated using eqn (1). Ascorbic acid was used as a positive control. Samples were analyzed in triplicate.
2.3.2. ABTS assay. This assay is based on 2,2′-azinobis(3-ethylbenzothiazoline sulfonate) (ABTS) incubated with a peroxidase (metmyoglobin) and hydrogen peroxide (H2O2) to produce the radical cation ABTS˙+ (ref. 14) which has a relatively stable blue-green colour. Antioxidants in the added sample cause suppression of the appearance of the colour to a degree proportional to their concentration. This analytical procedure has been applied to physiological antioxidant compounds and radical-scavenging drugs, and an antioxidant ranking based on their reactivity relative to ascorbic acid standard has been established. The ABTS˙+ stock solution was diluted with methanol to an absorbance of 0.70 ± 0.02 at 734 nm as a working solution. An aliquot (5 μL) of aqueous solution containing 62.5 to 4000 μg mL−1 of BR extract was mixed thoroughly with the ABTS˙+ solution (150 μL) and after 6 min in the dark at room temperature; the absorbance was read at 734 nm. The radical-scavenging activity for ABTS radical was calculated using the same formula as the DPPH radical. Samples were analyzed in triplicate.
2.3.3. FRAP assay. The ferric-reducing antioxidant power (FRAP) assay was carried out according to the procedure described in the literature.15 In the FRAP assay, reductants/antioxidants in the sample reduced Fe3+/tripyridyltriazine complex, present in stoichiometric excess, to the blue coloured ferrous form, with an increase in absorbance at 593 nm. Since the FRAP assay has a limit of detection of <2 μmol L−1 reducing/antioxidant power, precision of this assay is excellent. Briefly, the FRAP reagent was prepared according to the description of total antioxidant capacity assay.16 The FRAP reagent was freshly prepared daily and warmed to 37 °C in a water bath before use. 5 μL of the diluted sample was added to 150 μL of the FRAP reagent. The absorbance of the mixture was measured at 593 nm using a Synergy 2 Multi-Mode Microplate Reader (BioTek, USA) after 4 min. The standard curve was constructed using FeSO4 solution, and the results are expressed as μM Fe(II) per g dry weight of herb. Additional dilution was needed if the FRAP value measured was over the linear range of the standard curve. A higher absorbance indicates a higher reducing power. In a similar way to the DPPH and ABTSS assays, these samples were analyzed in triplicate.

2.4. Chromatography conditions

Chromatographic analysis was performed on an Shimadzu LC-20A (Shimadzu Corporation, Japan) HPLC system equipped with a quaternary solvent delivery system, an on-line degasser, an auto-sampler, a column temperature controller and a variable wavelength detector coupled with an analytical workstation (Lab solution for LC). Chromatographic separation was achieved at 40 °C on a Shimadzu Inertsil ODS-SP C18 (4.6 × 150 mm, 5 μm) with a Shimadzu Inertsil ODS-SP C18 guard column (4∅ × 10 mm, 5 μm). The separation was obtained using a gradient mobile phase consisting of 0.04% phosphoric acid water (A) and acetonitrile (B). The gradient elution was set at: 0–5 min, 0–1% B; 5–10 min, 1–5% B; 10–40 min, 5–8% B; and the column was finally reconditioned with 0% B isocratic for 10 min. The flow-rate was kept at 0.8 mL min−1. The detection wavelength was set at 270 nm for the first 32 min, and 325 nm from 32 to 40 min. The injection volume was set at 5 μL. Experiments were performed in sextuplicate for each batch of BR sample.

2.5. Determination of the contents of total phenols and total extractable tannins

The content of total phenols (TP) of BR extract was estimated according to Folin–Ciocalteu’s method11,17 with slight modification. 0.2 mL of sample solution at a concentration of 400 μg mL−1 was mixed with 1.0 mL of the Folin–Ciocalteu reagent (diluted 10 times by distilled water) and 1.2 mL of 29% (w/v) aqueous sodium carbonate solution. The absorbance of the final mixture was read at 760 nm against the blank solution (solution with no extract added). Gallic acid was used as the standard and TP content was expressed as milligrams of gallic acid equivalents (GAE) per gram of dry BR samples (mg GAE per g of dry BR samples) through the calibration curve with gallic acid. The calibration curve range was 0.001–0.01 mg mL−1 (R2 = 0.9985). Total extractable tannins (TET) were estimated indirectly by spectrophotometric measurement of the absorbance of the solution obtained after the precipitation of the insoluble tannins based on phosphomolybdium tungstic acid–casein reaction, described in Chinese Pharmacopoeia 2010.18 Briefly, 2.5 mL sample solution was quickly mixed with 0.6 g casein and incubated at 30 °C for 1 h. After filtration, the supernatant was collected. The phenol content of supernatant, which corresponds to the non-precipitable phenols (NPP), was measured by Folin–Ciocalteu’s method, and the total extractable tannins (TET) were calculated as the following formula:11
 
TET = TP − NPP (2)

2.6. Statistical analysis

All analyses were carried out in triplicate, and the data were expressed as the mean ± standard deviation (SD). Differences were considered to be significant for p < 0.05, and were considered to be very significant for p < 0.01. Graphpad Prism 6.0 (San Diego, CA, USA) and Microsoft Excel 2013 (Roselle, IL, USA) were used for the statistical and graphical analysis.

3. Results and discussion

3.1. Fingerprint analysis and quantitation of five major compounds

3.1.1. Optimization of HPLC conditions. The HPLC conditions, including chromatographic column and mobile phases were optimized to simultaneously separate different types of compounds in BR samples. Finally, the assay was performed on a Shimadzu Inertsil ODS-SP C18 column (4.6 × 150 mm, 5 μm) and an elution program of 0.1% aqueous formic acid (A) and acetonitrile (B) was used as the mobile phase system. All major compounds could be eluted with baseline separation in a run time of 40 min. Increasing the column temperature can significantly promote the resolution of gallic acid, galloylglucoside isomers, catechin and chlorogenic acid. To achieve appropriate resolution and a short analysis time, 40 °C was selected as a compromise.

The fingerprints of 35 batches of BR samples were obtained by HPLC-VWD. The common peaks were defined by the software approved by China Pharmacopeia, named as Similarity Evaluation System for the analysis of chromatographic fingerprint of TCM (2004A Version). The known common peaks were used in a “multiple point correction” step to align the spectra, and five common peaks were found accordingly, they are gallic acid (1), galloylglucoside isomer 1 (2), galloylglucoside isomer 2 (3) and catechin (4) and chlorogenic acid (5). The five common compounds all belong to the phenolic compounds. Typical chromatograms of the samples are shown in Fig. 1. The five compounds analyzed have different UV λmax values, for example, gallic acid, galloylglucoside isomer 1, galloylglucoside isomer 2 and catechin showed distinct maximal UV absorption at 270 nm, while chlorogenic acid had maximal absorptions at 325 nm. To analyze them at one run, a segmental wavelength method was used. The UV wavelength program was set as follows: 270 nm for 0–32 min; 325 nm for 32–40 min.


image file: c6ra00687f-f1.tif
Fig. 1 Chromatograms of 35 batches of BR. Common peaks: 1, gallic acid; 2, galloylglucoside isomer 1; 3, galloylglucoside isomer 2; 4, catechin; 5, chlorogenic acid.
3.1.2. Method validation and quantitative analysis of five major compounds in BR. The method was validated in terms of linearity, sensitivity, precision, stability and accuracy. The linearity, test range, limit of detection (LOD) and limit of quantification (LOQ) of the five compounds are shown in Table 2. It was found that the calibration curves for all compounds showed good linearity (R2 = 0.9995 for gallic acid; R2 = 0.9997 for catechin and R2 = 0.9999 for chlorogenic acid) within the test range. The LODs and LOQs of peak 1 were 7.21 and 23.90 ng, respectively; those of peak 4 were 82.80 and 310.49 ng, respectively; those of peak 5 were 12.56 and 42.11 ng, respectively for VWD, indicating that this method is sufficiently sensitive. The relative standard deviations (RSDs) for intra- and inter-day repeatability are also shown in Table 2. It was found that overall intra- and inter-day variations were not more than 3% (1.766% and 1.226% for gallic acid; 2.072% and 1.157% for catechin; 1.716% and 1.226% for chlorogenic acid), suggesting that the developed method is precise. The spike recoveries of three components were 95.36–100.11% and RSD were not more than 1% (0.182%, 0.888% and 0.690%, respectively), demonstrating that this method is also accurate.
Table 2 Results of the method validation for quantification of five major compounds in BRa
Compound Regression equation Linear range (μg ml−1) R2 LOD (ng) LOQ (ng) Precision (RSD, %) Recovery
Intra-day Inter-day Mean, % RSD, %
a LOD: limits of detection, LOQ: limits of quantification.
Gallic acid Y = 20[thin space (1/6-em)]569[thin space (1/6-em)]814X − 31[thin space (1/6-em)]281 4.78–191.20 0.9995 7.21 23.90 1.766 1.226 95.36 0.182
Catechin Y = 3333.6X − 6507.1 4.14–165.60 0.9997 82.80 310.49 2.072 1.157 100.11 0.888
Chlorogenic acid Y = 17[thin space (1/6-em)]322X − 88[thin space (1/6-em)]254 8.42–505.2 0.9999 12.56 42.11 1.716 0.970 95.36 0.69


With reference compounds, the contents of three known compounds (peaks 1, 4 and 5) were quantified (standard curves and validation data are shown in Table 2). Peaks 2 and 3, due to lack of reference compounds, were tentatively identified as galloylglucoside isomer 1 and galloylglucoside isomer 2, respectively, and semi-quantified using a standard curve of gallic acid, considering their similar maximum absorption wavelength. As is evidenced from the data from the chemical profile and quantitative analysis, the five major chemical components and their contents in different batches of BR samples varied greatly (Table 3), raising interest in exploring the effective marker of antioxidant activity in BR.

Table 3 Contents (mg g−1, n = 6)a of 5 major compounds in BR collected from different regions
Sample Gallic acid Galloylglucoside 1 Galloylglucoside 2 Catechin Chlorogenic acid Total content
a Data are represented as the mean ± SD.
S1 1.817 ± 0.01 1.655 ± 0.003 1.703 ± 0.003 1.995 ± 0.016 12.66 ± 0.065 19.83 ± 0.094
S2 2.429 ± 0.008 1.535 ± 0.096 1.365 ± 0.007 0.777 ± 0.038 10.724 ± 0.066 16.831 ± 0.047
S3 0.618 ± 0.004 0.174 ± 0.001 0.169 ± 0.002 0.525 ± 0.011 4.602 ± 0.036 6.088 ± 0.053
S4 1.851 ± 0.017 2.059 ± 0.071 2.036 ± 0.01 4.012 ± 0.027 16.95 ± 0.067 26.909 ± 0.07
S5 1.593 ± 0.007 1.549 ± 0.023 1.424 ± 0.013 0.838 ± 0.007 14.07 ± 0.051 19.474 ± 0.053
S6 1.073 ± 0.004 1.656 ± 0.004 1.714 ± 0.002 2.489 ± 0.038 15.601 ± 0.023 22.533 ± 0.043
S7 0.304 ± 0.003 0.085 ± 0.001 0.075 ± 0.000 0.8 ±[thin space (1/6-em)]0.025 4.908 ± 0.02 6.173 ± 0.043
S8 0.899 ± 0.006 0.572 ± 0.002 0.502 ± 0.009 0.715 ± 0.004 6.503 ± 0.012 9.192 ± 0.024
S9 3.107 ± 0.018 1.412 ± 0.006 1.347 ± 0.005 1.919 ± 0.019 14.947 ± 0.056 22.732 ± 0.102
S10 1.035 ± 0.002 4.361 ± 0.016 4.232 ± 0.014 0.721 ± 0.002 6.326 ± 0.013 16.675 ± 0.039
S11 0.764 ± 0.001 0.112 ± 0.001 0.107 ± 0.001 0.697 ± 0.002 1.404 ± 0.002 3.085 ± 0.006
S12 1.28 ± 0.004 1.486 ± 0.043 1.476 ± 0.02 1.42 ± 0.028 13.196 ± 0.461 18.858 ± 0.545
S13 0.281 ± 0.011 0.091 ±[thin space (1/6-em)]0.001 0.08 ± 0.001 0.786 ± 0.014 4.677 ± 0.039 5.914 ± 0.053
S14 1.217 ± 0.002 1.092 ± 0.002 1.000 ± 0.005 0.961 ± 0.028 11.193 ± 0.033 15.464 ± 0.049
S15 2.285 ± 0.007 1.733 ± 0.009 1.585 ± 0.008 1.173 ± 0.01 12.908 ± 0.021 19.684 ± 0.026
S16 0.15 ± 0.000 0.082 ± 0.000 0.077 ± 0.000 0.542 ± 0.006 4.555 ± 0.009 5.405 ± 0.006
S17 0.387 ± 0.001 0.078 ± 0.001 0.067 ± 0.000 0.641 ± 0.005 3.065 ± 0.005 4.237 ± 0.006
S18 0.291 ± 0.000 0.077 ± 0.000 0.078 ± 0.000 0.76 ± 0.001 5.631 ± 0.014 6.837 ± 0.014
S19 0.266 ± 0.004 0.077 ± 0.000 0.076 ± 0.000 0.641 ± 0.017 3.374 ± 0.027 4.435 ± 0.041
S20 0.257 ± 0.003 0.081 ± 0.002 0.075 ± 0.001 1.779 ± 0.033 5.372 ± 0.083 7.564 ± 0.07
S21 1.761 ± 0.001 2.341 ± 0.009 2.138 ± 0.01 1.096 ± 0.005 15.44 ± 0.023 22.776 ± 0.038
S22 0.729 ± 0.006 1.621 ± 0.022 1.581 ± 0.02 1.433 ± 0.013 12.623 ± 0.169 17.987 ± 0.223
S23 0.428 ± 0.003 0.101 ± 0.001 0.095 ± 0.000 0.941 ± 0.019 1.393 ± 0.008 2.958 ± 0.026
S24 0.288 ± 0.003 0.154 ± 0.001 0.148 ± 0.001 0.806 ± 0.016 1.409 ± 0.018 2.807 ± 0.039
S25 0.404 ± 0.003 0.083 ± 0.000 0.086 ± 0.004 0.156 ± 0.003 2.04 ± 0.006 2.768 ± 0.015
S26 0.276 ± 0.001 0.162 ± 0.003 0.163 ± 0.001 0.727 ± 0.004 1.269 ± 0.129 2.597 ± 0.132
S27 1.281 ± 0.006 0.788 ± 0.002 0.698 ± 0.001 0.846 ± 0.006 6.135 ± 0.027 9.749 ± 0.026
S28 1.798 ± 0.008 0.755 ± 0.009 0.665 ± 0.004 0.435 ± 0.001 4.934 ± 0.007 8.587 ± 0.02
S29 1.000 ± 0.02 1.08 ± 0.006 0.949 ± 0.006 0.44 ± 0.001 5.14 ± 0.044 8.609 ± 0.037
S30 0.608 ± 0.001 0.604 ± 0.002 0.525 ± 0.002 0.944 ± 0.008 5.11 ± 0.003 7.79 ± 0.008
S31 0.445 ± 0.02 0.141 ± 0.001 0.131 ± 0.000 0.548 ± 0.006 2.792 ± 0.03 4.057 ± 0.037
S32 1.138 ± 0.003 0.226 ± 0.001 0.199 ± 0.001 1.371 ± 0.004 2.849 ± 0.027 5.781 ± 0.035
S33 1.968 ± 0.01 1.659 ± 0.002 1.514 ± 0.003 2.065 ± 0.009 14.526 ± 0.009 21.732 ± 0.024
S34 2.595 ± 0.002 1.467 ± 0.006 1.343 ± 0.008 2.322 ± 0.014 12.714 ± 0.067 20.44 ± 0.095
S35 0.899 ± 0.007 1.375 ± 0.004 1.253 ± 0.007 1.382 ± 0.012 13.33 ± 0.298 18.24 ± 0.32


3.2. Total phenols (TP) and total extractable tannins (TET)

Many phenols are present in BR, however, there is no commercial standard available for most of them. Thus, the content of total phenols and total extractable tannins were assayed besides the five major ones. TP content is an important test index when evaluating antioxidant activity of herbal medicines due to their scavenging ability.19 TET is a specific class of TP. The content of TET is also an important test index for quality control in Chinese Pharmacopoeia18 as well as in European Pharmacopoeia.20 Both TP and TET contents were measured in order to obtain more reliable and comparable results.

The content of TP in BR extracts varied between different sources and ranged from 25.6880 to 152.1607 mg GAE per g. The batch of S21 had the highest total phenol content (152.1607 mg GAE per g) whereas S17 had the lowest (25.6880 mg GAE per g), showing an almost 6-fold difference. Total tannin content of the BR extracts varied greatly and ranged from 2.8105 to 102.8645 mg GAE per g. The BR raw material from Liaoning Province (S21) had the highest total tannin amount (102.8645 mg GAE per g), whereas the BR material from Jiangsu Province (S23) had the lowest (2.8105 mg GAE per g), showing an almost 37-fold difference. To the best of our knowledge, the content of TP and TET of BR extract has not yet been evaluated. With the standard solutions of gallic acid equivalents, the TP and TET contents are given in Table 1. Based on these results, we can conclude that the content varies greatly from batch to batch.

3.3. Antioxidant properties of BR extracts

A total antioxidant capacity assay using one chemical reaction seems to be rather unrealistic and easy to come by, yet the biggest problem is the lack of a validated assay that can reliably measure the antioxidant capacity of foods, and plant and biological samples.21 Because the “antioxidant activity” measured by individual assay reflects only the chemical reactivity under the specific conditions applied in that assay, it is inappropriate and misleading to generalize the data as indicators of “total antioxidant activity”.22,23 To be consistent with actual conditions, the “capacity” should be the results obtained by different assays. Considering the multifaceted factors of antioxidants and their reactivity,24 the antioxidant properties of BR extracts were determined as free radical-scavenging ability (DPPH and ABTS methods), and reducing power (FRAP assay) in the present study (Table 1 and Fig. 2), however, no report is yet available on the antioxidant assay of BR extracts.
image file: c6ra00687f-f2.tif
Fig. 2 The antioxidant capacity of BR extracts determined by DPPH assay (A), ABTS assay (B) and FRAP assay (C).
3.3.1. Scavenging of DPPH and ABTS radicals. Some methods such as free radical-scavenging assays might provide information on how capable an antioxidant is in preventing reactive radical species from reaching lipoproteins, polyunsaturated fatty acid, DNA, amino acids, proteins and sugars in biological and plant systems.22 DPPH radical is more stable than hydroxyl and superoxide radicals, therefore, DPPH has been widely used in evaluation of antioxidant activity single compound, as well as of plant extracts. As the reaction between antioxidant molecules and radicals progresses, the absorbance of the reaction system decreases. Hence, the change of absorbance is used as a measurement for the scavenging of DPPH radicals.25 The DPPH radical scavenging ability of extracts and standard were expressed as IC50 values (Fig. 2A). The BR extracts were able to interact with DPPH efficiently and quickly (with IC50 < 91 μg mL−1), and the more rapidly the absorbance changes, the more potential antioxidant activity the samples possess. Differences for DPPH IC50 between various batches might be related to differences in effective components content of analyzed extracts.

The potential of BR extracts to scavenge free radicals was also assessed by their ability to quench ABTS˙+. Fig. 1B depicts the concentration-dependent decolorization of ABTS˙+, expressed as the IC50 value. Compared with DPPH scavenging, these data indicated the higher capacity of BR extracts. According to the literature, the antioxidant activities against ABTS or DPPH were correlated with the concentration, chemical structures, and polymerization degree of organ antioxidants.1 It was reported that the reaction of DPPH with eugenol was reversible. This would result in falsely low readings for antioxidant capacity of samples containing eugenol and other phenols bearing a similar structure type (O-methoxyphenol).26 Accidentally, syringic acid and 2,6-dimethoxyphenol, compounds with similar structures to eugenol, exist in BR extracts.27 In other words, this could be the reason why the correlation between TP and the antioxidant activity of the DPPH assay was not as significant as that of the ABTS and FRAP assays.

These results indicated that all tested BR extracts possessed radical scavenging capacity (Fig. 2A and B). The extracts of batches 8, 10 and 21 were determined to have the strongest radical scavenging activity in the DPPH assay (IC50 values were: 9.3395 ± 0.2790, 9.8618 ± 0.0713 and 8.8378 ± 0.0444 μg mL−1, respectively), and the extracts of batches 10, 21 and 33 were determined to have the strongest radical scavenging activity in the ABTS assay (IC50 values were: 842.8758 ± 29.2474, 916.6795 ± 1.9447 and 861.2609 ± 25.8427 μg mL−1, respectively). While the extracts of batches 17, 20 and 23 were determined to have the weakest activity (IC50 values in DPPH assay were: 90.5082 ± 0.7056, 52.9639 ± 0.3024 and 67.5449 ± 0.4322 μg mL−1, respectively; IC50 values in ABTS assay were: 5992.9238 ± 208.3781, 5753.4787 ± 24.4100 and 5587.1468 ± 135.5964 μg mL−1, respectively). There might be monomeric phenolic compounds such as catechin, epicatechin-3-O-gallate and procyanidins, which are responsible for the antioxidant activity.4

3.3.2. Reducing power (FRAP). The reducing power test, in which the capacity of breaking radical chain reactions is reflected, is considered to be a good indicator of antioxidant capacity.28 Herein a ferric salt, Fe(III)(TPTZ)2Cl3 (TPTZ = 2,4,6-tripyridyl-s-triazine), is used as an oxidant. The presence of reducer (i.e. antioxidants) causes the conversion of the Fe3+ complex to the ferrous form.4 In this assay, the yellow colour of the test solution changes to various shades of green depending on the reducing power of the extract. The reducing capacity of a BR extract may serve as an indicator of its potential antioxidant activity. The reducing power of BR extracts was expressed as the concentration of ferric ion which has been deoxidized. Among the samples, the reducing capacity of 35 batches of BR extract exhibited a similar tendency with the results from the DPPH and ABTS assays, with slight differences (Fig. 2C). The extracts of batches 4, 10 and 21 were determined to have the strongest reducing capacity (the concentration of Fe2+: 1.1886 ± 0.0362, 1.2570 ± 0.0100 and 1.2097 ± 0.0172 μmol mL−1), while batches 17, 20 and 23 were determined to have the weakest reducing capacity (the concentration of Fe2+: 0.2441 ± 0.0011, 0.1935 ± 0.0151 and 0.2897 ± 0.0070 μmol mL−1). To achieve a better understanding of the trends and relationships among the chemical profile and bioactivity of the BR extract, statistical analysis was applied.

3.4. Correlations between antioxidant activities and the content of total phenols (TP)

Principal phenols are always responsible for the antioxidant activity, contrary to expectation, the antioxidant capacity incorrelated with the five major phenolic compounds completely (Fig. 3). For example, the extract of S16 with the lowest content of five major compounds, had a high free-radical scavenging activity, while the extract of S1 with a much higher content of five major compounds, had a considerably lower activity. The results may indicate that other minor constituents might possess a strong antioxidant effect. The identification of minor phenolic compounds including three types of polyphenol skeleton present in the BR extracts was achieved using HPLC-QTOF MS in our preliminary work.8
image file: c6ra00687f-f3.tif
Fig. 3 The correlation between the five principal compounds and antioxidant activity in the DPPH assay (A); the correlation between the five principal compounds and antioxidant activity in the ABTS assay (B); the correlation between the five principal compounds and antioxidant activity in the FRAP assay (C).

Fig. 4 showed that TP contents in BR extracts varied greatly from different batches. Generally, samples having a higher TP content were more effective in scavenging the ABTS and DPPH radical cation, such as S21 with the strongest antioxidant activity, while both have the highest TP content and TET content. Similar results were obtained in the reducing power assay, and the high antioxidant activity of the BR extract may be explained by its higher TP content. The correlation between phenols of BR extracts and the antioxidant activities were determined by a linear regression analysis. There is a very significant positive correlation between the content of TP and the IC50 of DPPH (R2 = 0.5501) (Fig. 4A-2), ABTS (R2 = 0.6387) (Fig. 4B-2) and FRAP (R2 = 0.6722) (Fig. 4C-2) in BR extracts. These results were consistent with some literature reports.4,11,13 Some reports found phenolic compounds are likely to be responsible for the measured antioxidant capacity of foods and herb medicines.29,30 Therefore, the high content of TP in most BR extracts might be responsible for the strong antioxidant properties of this herbal medicine. The finding could be explained by a synergism of various low molar mass phenols, or by a more important influence of other specific classes of trace phenols11 which were not examined in this study. The antioxidant capacity of the analyzed samples was also influenced by the TET. The antioxidant activity tends to be higher in analyzed samples with a higher TET content. As shown in Fig. 5, the antioxidant activity also presented a significant positive correlation with TET content (R2 = 0.3540 in DPPH assay; R2 = 0.4334 in ABTS assay; R2 = 0.5605 in FRAP assay). For example, S10 with an extremely high TET exhibited a strong antioxidant activity. However, compared with some other samples with less TET, S10 did not show a much better activity than them, such as S4. From the results, we found that phenols, exhibited antioxidant activity. Although both TP and TET are very important influencing factors for the antioxidant activity of BR extracts, the antioxidant capacity is more severely correlated with TP than with TET content.


image file: c6ra00687f-f4.tif
Fig. 4 The correlation between total phenols content and antioxidant activity in the DPPH assay (A-1); the linear regression analysis of total phenol content and antioxidant activity in the DPPH assay (A-2); the correlation between the total phenol content and antioxidant activity in the ABTS assay (B-1); the linear regression analysis of the total phenol content and antioxidant activity in the ABTS assay (B-2); the correlation between the total phenol content and antioxidant activity in the FRAP assay (C-1); the linear regression analysis of the total phenol content and antioxidant activity in the FRAP assay (C-2).

image file: c6ra00687f-f5.tif
Fig. 5 The correlation between total extractable tannin content and antioxidant activity in the DPPH assay (A-1); the linear regression analysis of the total extractable tannin content and antioxidant activity in the DPPH assay (A-2); the correlation between the total extractable tannin content and the antioxidant activity in the ABTS assay (B-1); the linear regression analysis of the total extractable tannin content and antioxidant activity in the ABTS assay (B-2); the correlation between the total extractable tannin content and the antioxidant activity in the FRAP assay (C-1); the linear regression analysis of the total extractable tannin content and antioxidant activity in the FRAP assay (C-2).

In general, the antioxidant capacity of BR was found to be significantly correlated (p < 0.01) with TP, and insignificantly correlated with the five major constituents. With regard to these results, the selection of TP content as a bioactive marker for quality control of BR may be more appropriate than the five principal compounds or TET content.

4. Conclusions

In this work, we quantified five major compounds obtained from 35 BR extracts by HPLC-VWD and examined the TP, NPP and TET contents by a combination of spectrophotometric and precipitation methods. Simultaneously, the antioxidant capacity was determined by three methods. This work demonstrated that crude BR extracts exhibit an antioxidant effectiveness similar to reference samples, which already find applications as additives in food against oxidative deterioration in humans. The antioxidant activity very significantly correlated with the TP content, showing that TP may be responsible for the antioxidant activity of BR. To understand their mechanism of action as bioactive components, further fractionation of the phenolic compounds in the BR extracts and determination of their biological activities in vitro and in vivo is needed. We look forward to finding the effective components of antioxidant activity from BR extracts in a follow-up research. The five principal compounds could be the chemical markers of BR extract, and the TP content could be the anti-oxidative marker for quality control.

Acknowledgements

This work was financially supported by the Special Scientific Research for Traditional Chinese Medicine of State Administration of Traditional Chinese Medicine of China (No. 201307002), the National Natural Science Foundation of China (No. 81322051), and the Project Funded by the Priority Academic Program Development of Jiangsu Higher Education Institutions (PAPD).

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Footnote

These authors contributed equally to this work.

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