Accepted Manuscript Title: A novel method for online screening of nitric oxide scavengers in natural products using high performance liquid chromatography coupled with tandem diode array and fluorescence detection Author: Dapeng Li Ting Wang Yujie Guo Yuanjia Hu Boyang Yu Jin Qi PII: DOI: Reference:
S0021-9673(15)01585-X http://dx.doi.org/doi:10.1016/j.chroma.2015.10.095 CHROMA 357010
To appear in:
Journal of Chromatography A
Received date: Revised date: Accepted date:
17-8-2015 27-10-2015 27-10-2015
Please cite this article as: D. Li, T. Wang, Y. Guo, Y. Hu, B. Yu, J. Qi, A novel method for online screening of nitric oxide scavengers in natural products using high performance liquid chromatography coupled with tandem diode array and fluorescence detection, Journal of Chromatography A (2015), http://dx.doi.org/10.1016/j.chroma.2015.10.095 This is a PDF file of an unedited manuscript that has been accepted for publication. As a service to our customers we are providing this early version of the manuscript. The manuscript will undergo copyediting, typesetting, and review of the resulting proof before it is published in its final form. Please note that during the production process errors may be discovered which could affect the content, and all legal disclaimers that apply to the journal pertain.
A novel method for online screening of nitric oxide scavengers in natural
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products using high performance liquid chromatography coupled with
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tandem diode array and fluorescence detection
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Dapeng Li b, Ting Wang b, Yujie Guo b, Yuanjia Hu c, Boyang Yu a, b, *, Jin Qi a, b, *
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a State Key Laboratory of Natural Medicines, China Pharmaceutical University,
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Nanjing 210009, China.
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b Jiangsu Key Laboratory of TCM Evaluation and Translational Research, China
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Pharmaceutical University, Nanjing 210009, China
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c State Key Laboratory of Quality Research in Chinese Medicine, Institute of Chinese
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Medical Sciences, University of Macau, Macao 999078, China
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*Corresponding authors at: Jiangsu Key Laboratory of TCM Evaluation and
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Translational Research, China Pharmaceutical University, Tongjia Lane 24, Nanjing
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210009, China. Tel.: +86 25 86185157; Fax: +86 25 86185157.
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E-mail addresses:
[email protected] (Boyang Yu),
[email protected] (Jin Qi). 1
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Abstract: Nitric oxide (NO) is an important cellular signaling molecule with extensive
33
physiological and pathophysiological effects. NO scavengers have the potential to
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treat inflammation, septic shock and other related diseases, and numerous examples
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have been chemically synthesized or isolated from natural products. The chemical
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diversity of natural products, however, means that a huge effort is necessary to
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efficiently screen and identify bioactive compounds, especially NO scavengers. In this
38
article, we propose an effective analytical method to screen for NO scavengers in
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three natural products using an online system that couples high performance liquid
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chromatography
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(HPLC-DAD-FLD). Eighteen compounds from radix of Scutellaria baicalensis
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Georgi and green tea displayed significant NO scavenging activity whereas
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components of Pueraria lobata (Willd.) Ohwi had no discernable activity. The
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structures of the active compounds were elucidated using Agilent Accurate-Mass
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Q-TOF LC/MS system. Preliminary analysis of structure-activity relationships
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indicated that, in flavonoids, a 2,3-double bond and a 3-H atom or a 3-OH group are
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essential for activity. In tannins, poly-hydroxyl groups are important for NO
system, screening
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and
fluorescence
detection
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array
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diode
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tandem
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scavenging activity. Method validation indicated that the newly developed method is both reliable and repeatable. The online method that we present provides a simple, rapid and effective way to identify and characterize NO scavengers present in natural products.
Key words: natural products, nitric oxide, scavenger, online HPLC-DAD-FLD
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2
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1. Introduction Nitric oxide (NO) is endogenously released by several different cell types and
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tissues in vivo during the nitric oxide synthase (NOS)-catalyzed conversion of
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L-arginine to L-citrulline. This free radical acts as a signaling molecule with dual
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effects. At low concentrations, NO is essential for regulating vasodilation, blood
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pressure and neurotransmission, as well as cardiovascular and renal function[1,2].
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Overproduction of NO, however, can promote inflammatory diseases[2,3] such as
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arthritis, myocarditis[4], septic shock[5,6] and autoimmune disorders[7]. Correcting
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the imbalance in physiological and pathological processes by scavenging excess NO
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may thus provide a strategy for the treatment of inflammatory diseases.
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Numerous NO scavengers have been synthesized or isolated from natural products.
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For instance, arylnitroalkenes[8], dithiocarbamate[9,10] and carboxy-PTIO[11] are
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effective in animal models of inflammation and acute septic shock, and
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edaravone[12,13], has been used in clinical practice. Some natural products, such as
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Ginkgo biloba extract EGb 761[14], curcumin[15], green tea[16] and Pu-erh tea[17],
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which were believed to be antioxidants, have now been shown to have the ability to
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scavenge NO. Although there is ample evidence that constituents from natural
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products have the potential to treat NO-related diseases, it is difficult to screen effectively for NO scavengers. Separation and purification of individual compounds is difficult because of the complex nature of natural products, and analytical methods for determination of NO are challenging because of its reactivity, rapid diffusion and short half-life.
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Various techniques[18] have, however, been developed to detect NO, including UV
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spectroscopy, fluorescence spectroscopy, chemiluminescence, electron paramagnetic
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resonance (EPR) and electrochemistry. In previous studies[16,19], screening for NO
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scavengers was commonly carried out by mixing the natural product with a NO donor
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such as sodium nitroprusside, followed by detection of the changes in NO levels. For
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example, Yoshida et al. evaluated the NO scavenging properties of shikonin using 3
Page 3 of 25
ESR[20]. This method is rapid and accurate, but it is expensive to operate. Kang and
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co-workers investigated the NO scavenging properties of ginseng using UV
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spectroscopy[21]. This method, which has been widely used for analysis of a variety
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of samples, is convenient to operate but other nitrogen oxide species, such as NO3−,
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will interfere with the determination of NO[18]. Most of the methods currently used
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for identifying NO scavengers from natural products are time consuming, labor
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intensive or high cost, and can give rise to ambiguous results. Methods based on
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hyphenated technologies, combining optimally coordinated separation of natural
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products and measurement of NO, are likely to provide a solution to these problems.
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In the present report, we describe a strategy based on high performance liquid
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chromatography (HPLC) coupled with online tandem diode array detection and
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fluorescence detection (HPLC-DAD-FLD) (Fig. 1) to systematically identify NO
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scavengers from natural products. Fluorescence detection is able to specifically,
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accurately and sensitively detect NO and a large number of fluorescence probes have
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been developed. One of the most widely used fluorescence methods, because of its
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low cost and high sensitivity, is based on the reaction of NO with
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2,3-diaminonaphthalene (DAN)[22]. Our online system comprises an HPLC system
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together with a detection system. The HPLC system separates the constituents from a
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new system is an efficient and high-throughput method for identifying NO
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scavengers.
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complex natural product mixture and the online detection system determines activity using the fluorescence probe (DAN). NO scavengers can be identified by comparison of the two chromatograms. This novel hyphenated HPLC-DAD-FLD method has been validated and successfully applied to three natural products. The method was used to analyze and characterize the substances and structures as well as to determine the structure-activity relationships of NO scavengers from these natural products. Our
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2. Experimental
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2.1 Chemicals and reagents 4
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Nitric oxide gas (99%) was purchased from Nanjing Shangyuan Industrial Gas Co.,
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Ltd. (Jiangsu, China). DAN was purchased from Aladdin Industrial Inc. (Shanghai,
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China).
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N-(1-naphthyl)ethylenediamine dihydrochloride (NEDD) and phosphoric acid were
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purchased from Sinopharm Chemical Reagent Co., Ltd. (Shanghai, China). Ultrapure
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water (18.2 MΩ) was obtained using a Milli-Q water purification system (Millipore,
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Bedford, MA, USA). Solvents used for extractions were analytical grade and
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purchased from Shanghai Lingfeng Chemical Reagent Co., Ltd. (Shanghai, China).
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Chromatographic grade acetonitrile and methanol were obtained from Tedia (Fairfield,
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OH, USA) and Yonghua Chemical Technology Co., Ltd. (Jiangsu, China),
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respectively.
grade
4-aminobenzenesulfonic
acid
(SULF),
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Analytical
Samples of rutin and quercetin for use as standards were purchased from Aladdin
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Industrial Inc. (Shanghai, China). Dried radix of Scutellaria baicalensis Georgi and
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Pueraria lobata (Willd.) Ohwi are traditional Chinese medicines and were obtained
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from the local pharmacy, Nanjing ShangyuanTang Pharmacy (Zhushan Road 109,
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Nanjing). Green tea was purchased from Yipin Xuan Organic Tea Industry Co., Ltd.
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(Anhui, China). All three crude drugs were authenticated by one of the authors, Prof.
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Boyang Yu. The voucher specimens (specimens number: S. baicalensis 20150215, P.
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absolute methanol and stored at 4°C to prevent degradation. A mixed standard
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solution (0.5 mg/mL) was prepared by mixing the two stock solutions in a 1:1 ratio.
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lobata 20150215, Green tea 20150215) were deposited at the Jiangsu Key Laboratory of TCM Evaluation and Translational Research, China Pharmaceutical University, Nanjing, China. The dried crude drugs were ground to homogeneous powders.
2.2. Standard solutions
Standard stock solutions (1 mg/mL) of rutin and quercetin were prepared in
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2.3. Extraction process
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Powdered radix of Scutellariae (2.0 g) was extracted twice with 75% (v/v) aqueous
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methanol (100 mL) for 30 min with ultrasonication at 100 Hz. The extracts were 5
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filtered and combined and then evaporated under vacuum at 55°C. The residue was
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dissolved in dimethylsulfoxide (5 mL) to provide the stock solution. Powdered green tea (1.0 g) was extracted with 70% (v/v) aqueous methanol (30 mL)
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for 45 min with ultrasonication at 100 Hz. The extract was filtered and used in the
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following experiments.
Powdered radix of puerariae (1.0 g) was refluxed in 30% aqueous ethanol (v/v) for
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All solutions were stored at 4°C and filtered through a 0.45 μm membrane before
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30 min. After cooling, the extract was filtered and used in the following experiments.
analysis.
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2.4. Preparation of solutions for online detection
A solution of DAN (0.01 mg/mL) was prepared in 0.4 M hydrochloric acid and
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stored in the dark at 4 °C.
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A solution of NO was prepared as previously described[23,24], with slight
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modifications. Briefly, absolute methanol (200 mL) was placed in a 250 mL glass
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bottle that was to be used as the NO collection vessel. The bottle was carefully sealed
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to minimize O2 entry and then purged of O2 by saturation with ultrapure N2 gas for 30
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min before being linked to the rest of the apparatus (Fig. 2). The NO solution was
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obtained by saturation with NO for 1 min with stirring under O2-free conditions. The stability of the NO solution was evaluated over 150 min using the neutral Griess reagent. The NO solution was found to be stable for at least 120 min and so met the experimental requirements.
All solutions for post-chromatographic derivatization were prepared freshly before
the experiment.
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2.5. Instrumentation for online HPLC-DAD-FLD
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2.5.1 Components of the online system
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HPLC was performed using a Shimadzu LC-2030C 3D HPLC system (Shimadzu
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Inc.), equipped with an online vacuum degasser, a quaternary pump, a diode array
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detection (DAD) system, an automatic sampler, a thermostatically controlled column 6
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compartment and a Shimadzu LabSolutions workstation.
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Fluorescence detection was performed using a Shimadzu RF-20A fluorescence
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detector (Shimadzu Inc.). DAN and NO solutions were delivered by two additional
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pumps (Shimadzu LC-10AT vp and LC-10AD vp, respectively).
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All of the instruments were interconnected with 0.5 mm I.D. polyether ether ketone
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(PEEK) tubes and T-pieces.
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2.5.2 HPLC and online detection conditions
Samples were separated using a Grace Alltima ODS C18 column (250mm×4.6 nm,
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5 μm). The mobile phase consisted of (A) 0.1% (v/v) aqueous formic solution and (B)
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acetonitrile. To achieve better results with the online system, isocratic elution
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conditions were used as shown in Table 1.
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Fluorescence detection was carried out with an excitation wavelength of 375 nm
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and an emission wavelength of 415 nm. The flow rate was 0.2 mL/min for the NO
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solution and 1.0 mL/min for the DAN solution.
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2.6. HPLC-Q-TOF MS/MS analysis conditions
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An Agilent 6520 Accurate-Mass Q-TOF LC/MS system (Agilent Technologies,
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with data acquisition and analysis were controlled by Agilent MassHunter
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Workstation Software version B.04.00. Mass spectra were recorded across the range
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m/z 100–1000, with accurate mass measurements of all mass peaks. The samples
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were analyzed in positive mode, according to the properties of the compounds.
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Santa Clara, CA, USA) equipped with an electrospray ionization (ESI) interface was coupled in parallel by splitting the mobile phase using an adjustable high-pressure stream splitter. The operating parameters were as follows: drying gas (N2) flow rate, 8.0 L/min at 325°C; sheath gas flow rate, 12 L/min at 400°C; pressure of nebulizer gas, 40 psi; capillary voltage, 4000 V; skimmer voltage, 65 V; OCT RF V, 750 V; fragmentor voltage, 100 V; sample collision energy, 5–30 V. All operations together
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2.7. Statistical analysis 7
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Data are expressed as mean ± standard deviation (SD). Statistical analyses were
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performed with one-way ANOVA (analysis of variance) followed by Tukey’s method
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(GraphPad Prism 5.0). A p value < 0.05 was considered to be statistically significant
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and p < 0.01 was considered to be highly significant.
3. Results and discussion
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3.1. Design of online HPLC-DAD-FLD system
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A schematic diagram of the online HPLC-DAD-FLD system is provided in Fig. 1.
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This apparatus integrates separation and the activity assay to screen for NO
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scavengers continuously and efficiently. Firstly, NO and DAN solutions are pumped
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at a constant flow rate and then react in the reactor coil. The fluorescence intensity
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(baseline) is detected by FLD. The complex mixtures are then separated using HPLC
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and the individual components are detected by DAD. Each peak of the chromatogram
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is mixed with NO solution and then rapidly processed by post-column derivatization
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with the fluorescence probe. Once an active compound has reacted with NO, the
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corresponding baseline fluorescence will be reduced. A negative peak is, therefore,
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recorded by FLD, allowing identification of NO scavengers.
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scavenging ratio was calculated using the formula (1):
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3.2. Optimization of online HPLC-DAD-FLD system conditions Many factors could influence acquisition of meaningful fluorescence intensities and
hence favorable screening results. These include the stability of NO, concentrations of NO and DAN solutions, pH, flow rate and type of PEEK tubes. These factors were evaluated by calculating the scavenging ratio of standard solutions, rutin and quercetin (0.5 mg/mL), which are believed to act as NO scavengers[19]. The
Scavenging ratio = PA (FLD) / PA (UV)
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(1)
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where PA (UV) is the peak area of DAD and PA (FLD) is the negative peak area of
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fluorescence when inhibited by a NO scavenger in the sample.
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3.2.1. The stability of NO solution 8
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The stability of the NO stock solution was examined using the Griess method.
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Briefly, NO solution was mixed with neutral Griess reagents[24] (17 mM SULF and
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0.4 mM NEDD in pH 7.4 PBS) and the absorbance measured at 496 nm
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(SHIMADZU UV-VIS 2550 spectrophotometer) after reaction for 30 min. Stability
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was evaluated by monitoring the UV absorbance. The initial UV absorbance of NO
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decreased slightly in the first 15 min and then remained stable for 120 min under an
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NO atmosphere (Fig. 3(A)). The NO solution was thus stable for at least 120 min after
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an initial equilibrium period of 15 min and the apparatus for preparation of the NO
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solution was shown to meet the experimental requirements. The concentration of the
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NO stock solution was calculated by the formula (2)
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(2)
Where εNO = 12,500 moL-1 L cm-1[25]. And the mean concentration was found to be
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0.200 mM.
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The effects of pH and organic solvents, which could affect stability, were also
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investigated using the same method. Because the sensitivity of the Griess assay is
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highly dependent on solution composition (i.e., buffer and matrix)[26], we evaluated
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these factors using a wider fluctuation range of absorbance. Acidic conditions (pH
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<5.9) and methanol had no significant effect compared with water (control group) (Fig. 3(B)). Slightly basic conditions (pH 8.0) and acetonitrile did produce a difference, but the absorbances were only slightly higher than that of the control group. Taken together, these results suggest that pH and organic solvents have only a minor influence on NO stability. 3.2.2. Concentration of DAN and NO solution
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Firstly, concentrations of NO solutions were prepared by different collection time
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(5, 10, 60, 180 s). Shorter collection time would obtain less concentration of NO
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solution. Solutions of DAN (0.005–0.04 mg/mL) in 0.4 M hydrochloric acid were
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prepared. These concentrations were examined by assuming that the flow rates of NO
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and DAN solutions are 0.2 mL/min and 0.7 mL/min, respectively. As shown in Fig.
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3(C), a better scavenging ratio was obtained at 10 s for NO collection, but this time 9
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was too short to prepare a stable solution. Having analyzed all of the data, a collection
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time of 60 s was chosen for further experiments since this gave a good scavenging
263
ratio and repeatability. The optimized concentration of DAN that gives the highest
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scavenging ratio is 0.01 mg/mL (Fig. 3(D)). These results suggest that the
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fluorescence intensity was genuine and the screening signal was favorable with NO
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and DAN concentrations of 0.200 mM (60 s) and 0.01 mg/mL, respectively.
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3.2.3 Factor of pH.
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Different pH values could affect the fluorescence intensity of the reaction
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product[27,28]. A series of solutions with varying pH (1.5, 2.6, 3.8, 5.0, 7.1, 8.0, 10.1
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and 13.1) were prepared using acetate, phosphate and carbonic acid buffer solutions.
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Only acidic conditions (pH <7.1) affected the scavenging ratios (Fig. 3(E)). A pH
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value of 1.5 (0.4 M HCl) gave the highest scavenging ratio and fluorescence intensity
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and was chosen for subsequent experiments. DAN is a weakly basic hydrophobic
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molecule and is most soluble under strongly acidic conditions[29]. The poor solubility
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of DAN in neutral or alkaline solution could potentially affect NO scavenging ratios
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at pH ≥7.1.
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3.2.4 Factor of flow rates.
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Different flow rates of NO (0.1, 0.2, 0.3, 0.5 and 0.8 mL/min) and DAN (0.1, 0.3,
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3.2.5 Type of tubes.
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0.5, 0.7 and 1.0 mL/min) solutions were also investigated. The scavenging ratio decreased with increased flow rate of the NO solution (Fig. 3(F)). In contrast, there was a directly proportional relationship between the scavenging ratio and the flow rate of the DAN solution (Fig. 3(G)). Flow rates of 0.2 mL/min for the NO solution and 1.0 mL/min for the DAN solution were selected for further experiments to obtain reliable fluorescence intensity and a stable baseline.
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The effects of instrumentation and the materials used to interconnect the different
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components on baseline drift, noise and peak broadening were also investigated.
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Different lengths (50, 100, 150 cm) and diameters (0.25, 0.5 mm) of PEEK tubing
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were evaluated, and 50 cm tubes with 0.5 mm I.D. were found to provide a good
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baseline, low noise levels and favorable peak shapes. 10
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3.3 Method validation Our newly developed method was validated using the known NO scavengers, rutin
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and quercetin, as positive references. The precision of the method was assessed by analyzing the same sample five times.
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The relative standard deviation (RSD) of the DAD peak area for rutin was 0.70% and,
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for quercetin, the value was 0.90%. The RSDs of the negative peak areas recorded by
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FLD were 2.00% and 2.30%. Repeatability was evaluated by analyzing five parallel
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samples. The RSDs of the scavenging ratios were 2.30% and 0.96%, respectively, thus
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meeting the requirements of validation.
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The linear relationships for rutin and quercetin were constructed by plotting the
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positive (Y1, rutin; Y2, quercetin) and negative peak areas (Y1’, rutin; Y2’, quercetin)
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versus the corresponding concentration (X). The regression equations were as follows:
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Y1 = 3E+06X + 317067, R² = 0.9879; Y1’ = -8E+06X + 1E+06, R² = 0.9912; Y2 =
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6E+06X + 284927, R² = 0.9975; Y2’ = -2E+07X + 467021, R² = 0.9958, indicating a
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good linear relationship and good dose-effect relationships (Fig. 4(A–D)).
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3.4. Application of method for screening NO scavengers
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tea is one of the most widely consumed beverages in the world and contains many
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compounds believed to be beneficial to health. Green tea has been shown to contain
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NO scavengers but, to the best of our knowledge, little effort has been made to
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identify NO scavengers in Radix scutellariae or Radix puerariae.
309 310 311 312 313
In Asia, the natural products Radix scutellariae and Radix puerariae are widely
used and have been revealed wide and strong therapeutic functions and potentially beneficial effects. Radix scutellariae is a well-known herb medicine, which has been been used for treatment of various diseases including ulcer, hepatitis, bronchitis, fever, tumor, inflammatory[30]. Radix Puerariae is rich in isoflavonoids, and has been used to treat angina pectoris, hypertension, influenza, and neck stiffness, et al[31]. Green
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In the present study, we used our newly developed method to test these natural
320
products for NO scavengers. To allow for baseline noise, we selected a scavenging 11
Page 11 of 25
ratio >0.1 as indicative of active peaks. We found significant differences in the NO
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scavenging capacity of the three samples. The chromatograms of Radix scutellariae
323
(Fig. 5(A)) and green tea (Fig. 5(B)) showed significant NO scavenging activity, with
324
compounds 1, 2, 3, 4, 5, 6, 11, 15, 16, 18, and 19 in Radix scutellariae and peaks 1, 2,
325
4, 6, 7, 8, 9 and 10 in green tea developing negative peaks. By contrast, there were
326
few negative peaks in the chromatogram of Radix puerariae (Fig. 5(C)), suggesting
327
that Radix puerariae has little capacity for scavenging NO. The NO scavenging
328
compounds in these natural products displayed a diversity of chemical properties. As
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well as having a wide range of applications in the study of natural products, our new
330
method also has the potential to analyze other complex matrices such as serum
331
samples containing drug substances.
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3.5. Characterization and identification of NO scavengers in Radix Scutellariae and
334
green tea
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Many compounds have been isolated and purified from all three natural products
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and most have been characterized using magnetic resonance spectroscopy and mass
337
spectrometry. There is thus abundant reference data to assist in identification of active
338
components. In the present study, HPLC-DAD-ESI-Q-TOF MS/MS was used to
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data[30,32–41].
339 340 341 342 343
provide characteristic fragmentations for rapid structural identification of potential NO scavengers from Radix Scutellariae and green tea. Diode array detection not only recorded the signal of individual components, but also provided an UV spectrum of each compound that could be used as corroborative evidence to identify the structure. Twenty nine compounds from Radix Scutellariae and green tea (Tables 2 and 3) were characterized by MS data and UV spectra by comparison with published
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3.6. Scavenging activity and structure-activity relationships of NO scavengers To evaluate the activity of each component, rutin was chosen as positive compound
348 349
and these scavenging activities were calculated using the following equation: 12
Page 12 of 25
(3)
350 351
where Scavenging ratio (Peaks) is the value of every single peak. Scavenging ratio
352
(Positive control) represents the positive scavenging ratio of rutin. The scavenger activity values of the components in Radix Scutellariae are shown in
354
Fig. 6(A). The NO scavenging activities of these compounds are in the order rutin
355
(positive)
356
chrysin-6-C-arabinosyl-8-C-glucoside
357
A-7-O-glucuronide (18) > chrysin-6-C-glucosyl-8-C-arabonoside (3), scutellarin (4),
358
5,7,3,2',6'-pentahydroxy
359
5,7,8-trihydroxy-6-methoxyflavone-7-O-glucuronide
360
norwogonin-7-O-glucuronide (15).
(1)
≈
flavanone
(6)
>
wogonoside
(19)
cr
flavone
baicalin
(11)
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5,7,3,2',6'-pentahydroxy
(5)
an
>
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353
(16)
>
>
oroxylin
> >
The scavenger activity values of the components in green tea are shown in Fig.
362
6(B). The NO scavenging activities of these compounds are in the order gallocatechin
363
(4) > (-)-epigallocatechin (6) > (-)-epicatechin (9) > rutin (positive) >
364
(-)-epigallocatechin-3-O-gallate (10) > 5-galloylquinic acid (1), gallic acid (2) >
365
caffeine (8). According to results, the compounds scavenging activity in green tea are
366
higher than components in Radix Scutellariae. And the NO scavengers that we have
372
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5,6-dihydroxybaicalein-7-O-glucuronide, suggesting that the 2,3‐double bond is an
374
essential moiety that forms a π bond conjugate system in the C ring and contributes to
375
the NO scavenging activity. The most active of all the compounds was
376
5,7,3,2',6'-pentahydroxy flavone, suggesting that a large number of phenolic hydroxyl
377
groups may be important for activity. Comparison of 5,7,3,2',6'-pentahydroxy flavone
378
with other active compounds such as wogonoside and baicalin suggests that phenolic
367 368 369 370 371
identified may play an important role in the pharmacological activities of these two natural products and may also have potential as NO scavengers for the treatment of diseases.
We also analyzed the structure-activity relationships of these NO scavengers.
Structures of compounds identified in Radix Scutellariae are shown in Fig. 7(A). The flavone,
baicalin
is
more
active
than
the
flavanone,
13
Page 13 of 25
hydroxyl groups in the B ring are not necessary for NO scavenging activity. Of the
380
compounds from Radix puerariae, isoflavones have less NO scavenging activity than
381
flavones (Fig. 5(C)), suggesting that a 3-H atom or 3-OH group in the C ring may be
382
important for activity. The presence of a 2,3-double bond with a 4-oxo group and a
383
3-H atom or 3-OH hydroxyl group were determined to be crucial for activity whereas
384
phenolic hydroxyl groups in the B ring enhanced scavenging activity but were not
385
essential.
cr
ip t
379
The graph of Fig. 7(B) displayed the structure of compounds in green tea. Tannin is
387
the main NO scavenger in green tea such as gallocatechin, (-)-epigallocatechin,
388
(-)-epicatechin, gallic acid whereas other components such as theobromine, caffeine
389
are less active. Our results are consistent with those of a previous study[16], which
390
suggested that poly-hydroxyl groups were essential for NO scavenging activity.
an
us
386
The mechanism of antioxidant activity of phenols and flavones involves the
392
formation of phenoxyl radicals[42]. The production of phenoxyl radicals from the
393
reaction of NO with a phenol moiety could be explained by two possible mechanisms:
394
H-atom abstraction to produce HNO and phenoxyl radicals or single electron transfer
395
to produce the phenol radical cation that reduces NO and immediately forms phenoxyl
396
radicals by loss of a proton[43,44]. Our results are in good agreement with previous
402
Ac ce p
te
d
M
391
403
analysis and identification of target compounds from crude extracts of natural
404
products. This approach was successfully applied to three natural products; and 18
405
active compounds were identified and characterized by HPLC-ESI-Q-TOF-MS. As
406
well as determining scavenging activity, structure-activity relationships were also
407
analyzed. Our results are important for further understanding the mechanism of NO
408
scavenging. This method is, therefore, expected to serve as a universal and practical
397 398 399 400 401
reports.
4. Conclusions
In the present study, we have successfully developed an online HPLC-DAD-FLD
system to screen for NO scavengers in natural products. This online system conveniently and efficiently solved a complex problem via continuous separation,
14
Page 14 of 25
409
approach for the discovery of potential drug leads from natural products.
410 411
Acknowledgments This project was financially supported by National Natural Science Foundation of
413
China (No. 81274004, 81473317), 2011’ Program for Excellent Scientific and
414
Technological Innovation Team of Jiangsu Higher Education and the Priority
415
Academic Program Development of Jiangsu Higher Education Institutions.
Ac ce p
te
d
M
an
us
cr
ip t
412
15
Page 15 of 25
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E.G. Janzen, A.L. Wilcox, V. Manoharan, Reactions of nitric oxide with phenolic antioxidants and phenoxyl radicals, J. Org. Chem. 58 (1993) 3597–3599.
549 550
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A.L. Wilcox, E.G. Janzen, Nitric oxide reactions with antioxidants in model systems: sterically hindered phenols and [small alpha]-tocopherol in sodium
541 542 543 544 545
19
Page 19 of 25
dodecyl sulfate (SDS) micelles, J. Chem. Soc. Chem. Commun. (1993) 1377–1379.
551 552 553
Ac ce p
te
d
M
an
us
cr
ip t
554
20
Page 20 of 25
554
Fig captions:
556
Fig. 1. Schemes of the HPLC-DAD-FLD online system for screening nitric oxide
557
scavengers in natural products. The chromatogram of each peak was recorded by
558
DAD detector when the natural products were separated by the column. Then, the
559
eluents were mixed with nitric oxide and then rapidly for post-column derivatization
560
with fluorescence probe (DAN). Subsequently, the active profiles were obtained by
561
fluorescence detector.
cr
ip t
555
us
562
Fig. 2. Schemes of the apparatus for preparation NO methanol solution. It was
564
assembled with 99.9% NO in container connected with 4 M NaOH to remove any
565
higher oxides and control the flow rate, following 200 mL deoxygen methanol in
566
glass bottle as NO collection vessel. 30% hydrogen peroxide was used to absorb the
567
residual NO. All the connections of this apparatus should be tightness and keep it
568
oxygen-free.
d
569
M
an
563
Fig. 3. Optimization of online HPLC-DAD-FLD system conditions. (A) The stability
571
of NO methanol solution during 150 min experimented with Griess method; (B) the
572
stability influenced by the factors of pH and organic reagents (vs. water group); (C)
574 575 576 577 578
Ac ce p
573
te
570
and (D) were different concentrations of NO and DAN solutions; (E) various pH of DAN solution; (F) and (G) were different flow rate of NO and DAN solutions.
Fig. 4. The linear relationship of rutin and quercetin were constructed by plotting the positive [(A) rutin, (B) quercetin] and negative peak area [(C) rutin; (D) quercetin] versus the corresponding the concentration.
579 580
Fig. 5. The application of online HPLC-DAD-FLD system for screening NO
581
scavengers from (A) dry radix of Scutellaria baicalensis Georgi, [peaks identify: 1
582
Chrysin-6-C-arabinosyl-8-C-glucoside, 2 Unidentified, 3 Chrysin-6-C-glucosyl-8-C-arabonoside,
583
4 Scutellarin, 5 5,7,3,2',6'-Pentahydroxy flavanone, 6 5,7,3,2',6'-Pentahydroxy flavone, 7 21
Page 21 of 25
584
Unidentified, 8 5,6,7-Trihydroxy-8-methoxy flavone-7-O-glucuronide, 9 Unidentified, 10 Luteolin,
585
11
586
Apigenin-7-O-glucuronide,
587
5,7,8-Trihydroxy-6-methoxyflavone-7-O-glucuronide, 17 Baicalein-6-O-glucuronide, 18 Oroxylin
588
A-7-O-glucuronide, 19 Wogonoside]; and (B) Green tea, [peaks identify: 1 5-Galloylquinic
589
acid, 2 Gallic acid, 3 Theobromine, 4 Gallocatechin, 5 Unidentified, 6 (-)-Epigallocatechin, 7
590
Kaempferol pentose conjugate, 8 Caffeine, 9 (-)-Epicatechin, 10 (-)-Epigallocatechin-3-O-gallate];
591
(C) dry radix of Pueraria lobata (Willd.) Ohwi;
12
Unidentified,
13
5,6-Dihydroxybaicalein-7-O-glucuronide,
15
Norwogonin-7-O-glucuronide,
cr
Fig. 6. The scavenging activity of each peak investigated by online HPLC-DAD-FLD
594
system in (A) S. baicalensis Georgi and (B) Green tea. Group of rutin is a positive
595
control. [ND: Not detected.]
an
593
M
596
Fig. 7. Chemical structures of the identified compounds in (A) dry radix of S.
598
baicalensis and (B) Green tea.
600
602
603 604 605
Tables:
Ac ce p
601
te
d
597
599
7.0
16
us
592
RT(min)
14
ip t
Baicalin,
Table 1 The HPLC isocratic elution conditions for the samples Samples A:B Flow rate Injection Column (mL/min) volume (µL) temperature (°C) 79:21 1.0 5.0 35 Radix scutellariae 90:10 1.0 1.0 30 Radix puerariae Green tea 90:10 1.0 2.0 30
Detector Wavelength (nm) 280 254 275
Table 2 Retention times, UV and MS data for identification of compounds in S. baicalensis by HPLC-ESI-Q-TOF-MS. [M+H]+ (m/z)
UV λmax (nm)
272, 549.1605 315
HPLC-ESI-Q-TOF-MSn
Formula
Delta Mass (ppm)
Identification
531.1503, 489.9203, 459 1066 429 0958
C26H28O13
1.73
Chrysin-6-C-arabinosyl-8-C-glucoside
22
Page 22 of 25
315
459.1066, 429.0958
329
647.1948
501.1369, 467.1523
C31H34O15
3.47
Unidentified
8.7
273, 549.1613 315
531.1491, 459.1069, 363.0863 333.0755
C26H28O13
1.94
Chrysin-6-C-glucosyl-8-C-arabonoside
9.5
277, 463.0872 329
287.0552, 269.0498, 256.7146, 241.0462
C21H18O12
0.31
Scutellarein-7-O-glucuronide (Scutellarin)
9.9
288
305.0653
C15H12O7
1.91
5,7,3,2',6'-Pentahydroxy flavanone
13.5
303.0503
C15H10O7
1.03
312.1049, 216.0873, 166.0496 301.0709, 286.0472
-
-
C22H20O12
0.02
21.6
253, 337 280, 327 270, 332 285
287.0556, 269.0451, 153.0177 257.0438, 167.0345
23.9
258
287.0551
27.3
276, 316 281, 332 287, 350 (sh) 268, 313 279, 354 283, 322 (sh) 273, 312 271, 311 273, 340
447.0953
34.4
38.1 41.2 44.8
50.1 53.3 68.4
606 607 608 Peak
675.2244 449.1077
cr us
C15H10O6
0.25
Luteolin
271.0615, 253.0495, 529.1640, 481.1625
C21H18O11
4.80
Baicalin
-
-
Unidentified
273.0755, 173.0584, 169.0125, 168.9879
C21H20O11
1.82
5,6-Dihydroxybaicalein-7-O-glucuronide
C22H22O10
0.17
Apigenin-7-O- glucuronide
C21H18O11
3.42
Norwogonin-7-O- glucuronide
2.94
an -
284.2998, 239.0825, 136.9361 269.0354, 241.0476
-
M
325.0680
Unidentified
5,6,7-Trihydroxy-8-methoxy flavone-7-O-glucuronide Unidentified
d
31.8
477.1027
te
19.9
416.1703
5,7,3,2',6'-Pentahydroxy flavone
Ac ce p
18.6
ip t
7.7
C22H20O12
447.0965
271.0611,
C21H18O11
9.72
Baicalein-6-O-glucuronide
461.1083
285.0750, 270.0511, 168.0044 285.0751, 270.0516, 183.0296
C22H20O11
1.06
Oroxylin A-7-O-glucuronide
C22H20O11
0.03
Wogonoside
447.1284
447.0906 477.1041
461.1079
285.0769, 271.0601, 227.0666 271.0595, 225.0586, 169.0153 301.0713, 286.0491, 183.9970
5,7,8-Trihydroxy-6-methoxyflavone-7-O-glucuro
Table 3 Retention times, UV and MS data for identification of compounds in Green Tea by HPLC-ESI-Q-TOF-MS.
RT(min)
UV λmax
[M+H]+
HPLC-ESI-Q-TOF-MSn
Formula
Delta
Identification
23
Page 23 of 25
5.9
4 5
6.8 10.7
6
11.5
7
13.0
8
16.0
9
28.6
10
34.0 609 610 611
615 616 617 618
5-Galloylquinic acid
C7H6O5
0.41
Gallic acid
-
C7H8N4O2
0.51
Theobromine
177.0546, 139.0392 319.0861, 202.0619, 151.0394
C15H14O7 -
3.4 -
271.0548, 163.0376, 139.0380 339.0846, 250.1071, 177.0536 138.0645
C15H14O7
1.17
(-)-Epigallocatechin
-
-
Kaempferol pentose conjugate
207.0639, 139.0388 153.0167, 139.0375
Gallocatechin Unidentified
C8H10N4O2 11.96 C15H14O6
C22H18O11
Caffeine
3.02
(-)-Epicatechin
0.99
(-)-Epigallocatechin-3-O-gallate
Ac ce p
612 613 614
0.56
ip t
3
C14H16O10
an
4.7
189.0647, 171.0288, 153.0177 -
M
2
210, 345.0818 274 213, 171.0287 271 202, 181.0719 273 270 307.08061 206, 365,1214 259, 275(sh) 199, 307.0816 269 204, 419.1810 309 200, 195.0900 272 201, 291.0872 279 200, 459.0915 274
d
4.1
Mass (ppm)
te
1
(m/z)
cr
(nm)
us
NO.
Highlights:
We developed the online HPLC-DAD-FLD system for screening NO scavengers in natural products.
Bioactive compounds were screened out using the new online system and
619
identified by HPLC-ESI-Q-TOF-MS, then structure-activity relationships were
620
analyzed.
621
Our method is specific, simple, reliable and efficient.
622 623 624 625
24
Page 24 of 25
te
d
M
an
us
cr
ip t
Ac ce p
626
25
Page 25 of 25