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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">ijms</journal-id>
<journal-title>International Journal of Molecular Sciences</journal-title>
<abbrev-journal-title>Int. J. Mol. Sci.</abbrev-journal-title>
<issn pub-type="epub">1422-0067</issn>
<publisher>
<publisher-name>Molecular Diversity Preservation International (MDPI)</publisher-name></publisher></journal-meta>
<article-meta>
<article-id pub-id-type="doi">10.3390/ijms131216544</article-id>
<article-id pub-id-type="publisher-id">ijms-13-16544</article-id>
<article-categories>
<subj-group>
<subject>Article</subject></subj-group></article-categories>
<title-group>
<article-title>Phenolics and Antioxidant Activity of Mulberry Leaves Depend on Cultivar and Harvest Month in Southern China</article-title></title-group>
<contrib-group>
<contrib contrib-type="author">
<name><surname>Zou</surname><given-names>Yuxiao</given-names></name><xref ref-type="aff" rid="af1-ijms-13-16544">1</xref><xref ref-type="aff" rid="af2-ijms-13-16544">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Liao</surname><given-names>Shentai</given-names></name><xref ref-type="aff" rid="af2-ijms-13-16544">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Shen</surname><given-names>Weizhi</given-names></name><xref ref-type="aff" rid="af2-ijms-13-16544">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Liu</surname><given-names>Fan</given-names></name><xref ref-type="aff" rid="af2-ijms-13-16544">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Tang</surname><given-names>Cuiming</given-names></name><xref ref-type="aff" rid="af2-ijms-13-16544">2</xref></contrib>
<contrib contrib-type="author">
<name><surname>Chen</surname><given-names>Chung-Yen Oliver</given-names></name><xref ref-type="aff" rid="af3-ijms-13-16544">3</xref></contrib>
<contrib contrib-type="author">
<name><surname>Sun</surname><given-names>Yuanming</given-names></name><xref ref-type="aff" rid="af1-ijms-13-16544">1</xref><xref ref-type="corresp" rid="c1-ijms-13-16544">*</xref></contrib></contrib-group>
<aff id="af1-ijms-13-16544">
<label>1</label>College of Food Science, South China Agricultural University, Guangzhou 510642, China; E-Mail: <email>yuxiaozou@163.com</email></aff>
<aff id="af2-ijms-13-16544">
<label>2</label>Sericulture &amp; Agri-Food Research Institute, Guangdong Academy of Agricultural Sciences, No. 133 Yiheng ST Dongguanzhuang RD, Guangzhou 510610, China; E-Mails: <email>liaost@163.com</email> (S.L.); <email>skyforce12@163.com</email> (W.S.); <email>liufan1234@gmail.com</email> (F.L.); <email>tangcuiming@163.com</email> (C.T.)</aff>
<aff id="af3-ijms-13-16544">
<label>3</label>Antioxidants Research Laboratory, Jean Mayer USDA Human Nutrition Research Center on Aging, Tufts University, Boston, 711 Washington St., Boston, MA 02111, USA; E-Mail: <email>oliver.chen@tufts.edu</email></aff>
<author-notes>
<corresp id="c1-ijms-13-16544">
<label>*</label>Author to whom correspondence should be addressed; E-Mail: <email>ymsun@scau.edu.cn</email>; Tel.: +86-020-8528-3925; Fax: +86-020-8528-0270.</corresp></author-notes>
<pub-date pub-type="collection">
<year>2012</year></pub-date>
<pub-date pub-type="epub">
<day>05</day>
<month>12</month>
<year>2012</year></pub-date>
<volume>13</volume>
<issue>12</issue>
<fpage>16544</fpage>
<lpage>16553</lpage>
<history>
<date date-type="received">
<day>12</day>
<month>10</month>
<year>2012</year></date>
<date date-type="rev-recd">
<day>15</day>
<month>11</month>
<year>2012</year></date>
<date date-type="accepted">
<day>23</day>
<month>11</month>
<year>2012</year></date></history>
<permissions>
<copyright-statement>© 2012 by the authors; licensee Molecular Diversity Preservation International, Basel, Switzerland.</copyright-statement>
<copyright-year>2012</copyright-year>
<license license-type="open-access" xlink:href="http://creativecommons.org/licenses/by/3.0">
<p>This article is an open-access article distributed under the terms and conditions of the Creative Commons Attribution license (http://creativecommons.org/licenses/by/3.0/).</p></license></permissions>
<abstract>
<p>To elucidate the effects of cultivar and harvest month on the phenolic content and antioxidant activity of mulberry leaves, four major phenolics, including chlorogenic acid (ChA), benzoic acid (BeA), rutin (Rut) and astragalin (Ast), were quantified using an HPLC-UV method. Leaves from six mulberry cultivars, collected from April to October, were analyzed. The antioxidant activity of mulberry leaves was assessed by ferric reducing antioxidant power (FRAP), hydroxyl radical scavenging activity (HSA) and superoxide radical scavenging activity (SSA) assays. The results showed that the total values of the four phenolic compounds ranged from 2.3 dry weight (DW) to 4.2 mg/g DW, with ChA being the major compound. The mean total phenol (TP) content of the six cultivars ranged from 30.4 equivalents (GAE) mg/g DW to 44.7 GAE mg/g DW. Mulberry leaves harvested in May had the highest TP content. Moreover, the antioxidant activities of mulberry leaves harvested from April to October differed noticeably. In general, Kq 10 and May were considered to be a better cultivar and harvest month concerning phenolic content and antioxidant activity, respectively.</p></abstract>
<kwd-group>
<kwd>phenolics</kwd>
<kwd>antioxidant activity</kwd>
<kwd>mulberry leaf</kwd>
<kwd>cultivar</kwd>
<kwd>harvest month</kwd></kwd-group></article-meta></front>
<body>
<sec sec-type="intro">
<title>1. Introduction</title>
<p>China is the main producer of mulberry (genus <italic>Morus</italic>), an economically important plant used for sericulture. Southern China is the major mulberry growing region in the country, accounting for 30% of the planted area. The warm and humid climate of the region allows the mulberry trees to grow continuously for seven months of the year [<xref ref-type="bibr" rid="b1-ijms-13-16544">1</xref>].</p>
<p>Mulberry leaves have been used in China for hundreds of years to treat hyperglycemia, inflammation, cough, hypertension, cancer and fever [<xref ref-type="bibr" rid="b2-ijms-13-16544">2</xref>,<xref ref-type="bibr" rid="b3-ijms-13-16544">3</xref>]. Phenolics with strong antioxidant activity toward reactive oxygen species (ROS) are thought to contribute to the biological activities of the leaves [<xref ref-type="bibr" rid="b4-ijms-13-16544">4</xref>,<xref ref-type="bibr" rid="b5-ijms-13-16544">5</xref>]. Although some phenolics, such as rutin, quercetin and isoquercetin, as well as some flavonoids, have been identified in mulberry leaves [<xref ref-type="bibr" rid="b6-ijms-13-16544">6</xref>], there is currently little information on the influence of cultivar and harvest month on phenolic content and antioxidant activity. Our previous study showed that cultivar and harvest month had a significant effect on the anthocyanin content, some other phenolic compounds and antioxidant activity in mulberries [<xref ref-type="bibr" rid="b7-ijms-13-16544">7</xref>,<xref ref-type="bibr" rid="b8-ijms-13-16544">8</xref>]. However, further research is needed. Hence, this work attempts to understand whether the bio-efficacy conferred by phenolics to mulberry leaves is consistent with different cultivars and harvest months [<xref ref-type="bibr" rid="b6-ijms-13-16544">6</xref>,<xref ref-type="bibr" rid="b9-ijms-13-16544">9</xref>,<xref ref-type="bibr" rid="b10-ijms-13-16544">10</xref>].</p>
<p>Therefore, we investigated the content of four major phenolic compounds (chlorogenic acid, benzoic acid, rutin and astragalin), as well as the antioxidant activity in mulberry leaves, in order to determine the influence of cultivar and harvest month on these variables.</p></sec>
<sec sec-type="results|discussion">
<title>2. Results and Discussion</title>
<p>It is known that genetics, environment and agricultural practices greatly affect the phytochemical profiles of plants; however, there is limited evidence of the impact of these factors on the bioactivities of mulberry leaves. Such information would help farmers to select cultivar(s) and a harvest time to produce mulberry leaves and related products with the greatest levels of compounds with antioxidant, anti-inflammatory and anti-diabetic activities.</p>
<sec>
<title>2.1. Effect of Cultivar on Phenolics and Antioxidant Activity of Mulberry Leaves</title>
<p>The mean contents of four phenols (ChA, BeA, Rut and Ast) in the leaf extract of six mulberry cultivars, harvested over seven consecutive months, ranged from 2.32 mg/g DW to 4.17 mg/g DW. In particular, ChA was the major compound, representing over 44.9% of the total, while Rut, Ast and BeA were relatively low (<xref ref-type="table" rid="t1-ijms-13-16544">Table 1</xref>). This result was in agreement with previous reports on Japanese mulberry leaves by Onogi <italic>et al</italic>. [<xref ref-type="bibr" rid="b10-ijms-13-16544">10</xref>], Katsube <italic>et al</italic>. [<xref ref-type="bibr" rid="b11-ijms-13-16544">11</xref>] and Matsuoka <italic>et al</italic>. [<xref ref-type="bibr" rid="b9-ijms-13-16544">9</xref>]. Moreover, the data showed that the Rut content (1.20 ± 0.4 mg/g DW) in Kq 10 and the BeA content (0.8 ± 0.2 mg/g DW) in Ys 10 were significantly higher than other cultivars. Ys 10 had relatively high levels of the four phenolic compounds with 2.1 ± 0.6 mg/g DW ChA, 0.7 ± 0.2 mg/g DW Rut, 0.8 ± 0.2 mg/g DW BeA and 0.6 ± 0.2 mg/g DW Ast, while Kq 10 possessed relatively high level of Rut (1.2 ± 0.4 mg/g DW) and ChA (2.2 ± 0.6 mg/g DW). The profiles of the four quantified phenols were different among six cultivars and consistent with the study by Song <italic>et al</italic>. [<xref ref-type="bibr" rid="b12-ijms-13-16544">12</xref>]. Conversely, Da 10 had lower levels of the four phenolic compounds compared with the other cultivars, which was in disagreement with the results of Song <italic>et al</italic>. [<xref ref-type="bibr" rid="b12-ijms-13-16544">12</xref>], who suggested it to be the most valuable mulberry cultivar based on its high content of functional components.</p>
<p>The total phenol (TP) values in six mulberry cultivars ranged from 30.4 GAE mg/g DW to 44.7 GAE mg/g DW, with the highest TP in Kq 10 (44.7 ± 10.7 GAE mg/g DW) and the lowest in Ns 14 (30.4 ± 6.3 GAE mg/g DW) (<xref ref-type="table" rid="t2-ijms-13-16544">Table 2</xref>). These results were in agreement with those reported by Jia <italic>et al</italic>. [<xref ref-type="bibr" rid="b6-ijms-13-16544">6</xref>], who described a wide variation in the flavonoid contents of the leaves of 13 mulberry varieties, ranging from 9.8 mg/g DW to 29.6 mg/g DW Rut equivalents. The hydroxyl radical scavenging activity (HSA) and superoxide radical scavenging activity (SSA) values did fluctuate among six cultivars, with the highest HSA and SSA in Kq 10 and the lowest in Ns 14. However, ferric reducing antioxidant power (FRAP) values did not vary a lot. In general, the antioxidant activities of the leaves from six mulberry cultivars varied considerably.</p>
<p>Canonical discriminant analysis showed an obvious variability among the six cultivars, especially between Kq 10 and the other five cultivars (<xref ref-type="fig" rid="f1-ijms-13-16544">Figure 1A</xref>). Kq 10 only possess a significantly higher content of Rut, which implies it probably plays a very important role in the antioxidant activity of mulberry leaf. Differences among the mulberry cultivars could further explain why the corresponding leaf samples had significant differences on their phenolic content and antioxidant activity. Canonical discriminant analysis has also been used to differentiate cultivars and fertilization types in wines [<xref ref-type="bibr" rid="b13-ijms-13-16544">13</xref>,<xref ref-type="bibr" rid="b14-ijms-13-16544">14</xref>], olives [<xref ref-type="bibr" rid="b15-ijms-13-16544">15</xref>], grapes [<xref ref-type="bibr" rid="b16-ijms-13-16544">16</xref>] and almonds [<xref ref-type="bibr" rid="b17-ijms-13-16544">17</xref>].</p>
<p>Further experiments showed that the TP content was significantly correlated with FRAP (<italic>R</italic><sup>2</sup> = 0.66), HSA (<italic>R</italic><sup>2</sup> = 0.75) and SSA (<italic>R</italic><sup>2</sup> = 0.56) (<italic>p</italic> ≤ 0.01) (<xref ref-type="table" rid="t3-ijms-13-16544">Table 3</xref>). The results were consistent with widely accepted knowledge that phenolics contribute to the antioxidant activity of plants. Isabelle <italic>et al</italic>. [<xref ref-type="bibr" rid="b18-ijms-13-16544">18</xref>] reported strong correlations between radical scavenging capacities and the content of phenolic compounds in mulberry fruits. A similar result was reported by Ozgen <italic>et al</italic>. [<xref ref-type="bibr" rid="b19-ijms-13-16544">19</xref>]. Furthermore, Katsube <italic>et al</italic>. [<xref ref-type="bibr" rid="b20-ijms-13-16544">20</xref>] indicated that flavonoids in mulberry leaves were the main antioxidants protecting LDL against <italic>in vitro</italic> copper-induced oxidation. The correlation results showed that ChA and Rut contributed to the antioxidant activity of mulberry leaves, as determined by FRAP and HSA.</p>
<p>It is known that both genotype and growing environment can affect phytochemical production in an interactive manner. Since all the samples were collected from the same orchard, the differences could not be ascribed to growing location, environment or agricultural practice. Thus, only the cultivar difference had an impact on the phenolic content and antioxidant activity, rather than the growing environment (<xref ref-type="supplementary-material" rid="s1-ijms-13-16544">Supplementary Table S1</xref>).</p></sec>
<sec>
<title>2.2. Effect of Harvest Month on Phenolics and Antioxidant Activity of Mulberry Leaves</title>
<p>Leaves from six mulberry cultivars, collected from April to October in southern China, were used to investigate the influence of harvest month on phenolics and antioxidant activity. ChA was the major phenolic compound and its concentration did not change significantly over seven harvest months. A similar trend was observed for BeA and Rut. However, the content of Ast was markedly affected by harvest month, with its concentration reaching the highest level in August (<xref ref-type="table" rid="t4-ijms-13-16544">Table 4</xref>). Further canonical discriminant analysis showed that the effect of harvest month was less obvious than that of cultivar (<xref ref-type="fig" rid="f1-ijms-13-16544">Figure 1B</xref>), which could further explain the above result.</p>
<p>The mulberry tree is a fast-growing deciduous plant that can grow under different climatic conditions (<italic>i.e.</italic>, tropical, subtropical and temperate) [<xref ref-type="bibr" rid="b21-ijms-13-16544">21</xref>]. The <italic>Compendium of Materia Medica</italic>, a pharmaceutical text written by Li Shi-Zhen during the Ming Dynasty, indicated that mulberry leaves harvested before natural defoliation in autumn (October) were the best for medicinal use, but no explanation was provided. Guan <italic>et al</italic>. [<xref ref-type="bibr" rid="b22-ijms-13-16544">22</xref>] also indicated that mulberry leaves harvested in autumn would exert larger bio-efficacy than those harvested in summer, probably because of the higher rutin content of the former. In general, the growing period of mulberry plants is four-to-seven months, dependent on climate condition and cultivar. Jia <italic>et al</italic>. [<xref ref-type="bibr" rid="b6-ijms-13-16544">6</xref>] reported that the flavonoid contents of mulberry leaves collected in spring and autumn were different. Nevertheless, our study is the first to monitor the changes in phenolic contents and antioxidant activities in mulberry leaves over seven months of the growing season. Our results showed that mulberry leaves harvested in May contained more TP and had a stronger antioxidant activity than those collected in April. However, there were differences in the levels of the four phenolic compounds during the growing season. The contents of ChA and BeA were unaltered during the whole growing season, but the contents of Rut and Ast increased continuously. However, the most bioactive constituents in mulberry leaves, responsible for their putative health benefits, remain to be investigated. The higher contents of TP and ChA, as well as the stronger antioxidant activity observed in the early harvest season, suggest that mulberry leaves collected in May are the best for medicinal use, which disagrees with both the recommendation given in the <italic>Compendium of Materia Medica</italic> and the study by Jia <italic>et al</italic>. [<xref ref-type="bibr" rid="b6-ijms-13-16544">6</xref>].</p>
<p>This study also showed that the harvest month significantly affected the TP content and the FRAP and SSA activities, but not the HSA activity. After reaching their highest levels in May, TP, FRAP and SSA declined in later harvest months (<xref ref-type="table" rid="t5-ijms-13-16544">Table 5</xref>).</p></sec></sec>
<sec>
<title>3. Experimental Section</title>
<sec sec-type="materials">
<title>3.1. Materials</title>
<p>ChA, Rut (quercetin-3-<italic>O</italic>-rutinoside), BeA and Ast (kaempferol-3-<italic>O</italic>-glucoside) were purchased from the National Institutes for Food and Drug Control (Beijing, China). All other chemicals and reagents were from Guangzhou Chemical Reagent Factory (Guangzhou, China).</p></sec>
<sec>
<title>3.2. Mulberry Leaf Samples</title>
<p>Tang 10 (T 10), Kangqing 10 (Kq 10), Beidong 2 (Bd 2), Yu 7803, Yuesang 10 (Ys 10) and Nongsang 14 (Ns 14) are six typical cultivars widely grown in southern China. All the mulberry plants for this study were cultivated in an experimental field in Guangzhou, which was managed by the Sericulture &amp; Agri-Food Research Institute of the Guangdong Academy of Agricultural Sciences. Leaves from each mulberry cultivar were harvested from the same trees once a month over seven consecutive months of the growing period (April to October) in 2009. A total of 42 mulberry leaf samples were collected. The specimen identities were confirmed by Cui-Ming Tang, a mulberry taxonomist from the Sericulture &amp; Agri-Food Research Institute. The mulberry leaves were shade dried, powdered using an electric grinder and stored at −20 °C until extraction.</p></sec>
<sec>
<title>3.3. Mulberry Leaf Extraction</title>
<p>Phenols in mulberry leaf powder were extracted using 70% ethanol in water (pH 4), according to our previously published protocol [<xref ref-type="bibr" rid="b23-ijms-13-16544">23</xref>]. Briefly, 1 g of mulberry leaf powder was mixed with 40 mL of acidified ethanol solution and then extracted using sonication for 30 min at room temperature. After centrifugation, the solvent was removed using a rotavapor over a water bath below 40 °C. The dried extracts were stored at −20 °C. Before conducting the assays, the mulberry leaf extract (MLE) was reconstituted with 25 mL of distilled water to produce a concentration equivalent to 40 mg/mL of mulberry leaf powder.</p></sec>
<sec>
<title>3.4. Determination of Four Phenolic Compounds by HPLC</title>
<p>Thirteen phenolic compounds from mulberry leaves were previously quantified in our laboratory using HPLC. Among them, chlorogenic acid, benzoic acid, rutin and astragalin were the predominant compounds, accounting for 76.4%–88.3% of the total (<xref ref-type="supplementary-material" rid="s1-ijms-13-16544">Supplementary Table S2</xref>). Some individual compounds, such as Cat, VaA, CaA, GaA, Hyp and Que, were not present in all the cultivars. Moreover, detection and quantification of Rut is the only detective index required for the quality control of mulberry leaf [<xref ref-type="bibr" rid="b3-ijms-13-16544">3</xref>]. Therefore, four main phenols, including ChA, Rut, BeA and Ast, were quantified using an Agilent 1200 series HPLC (Agilent Technologies Inc., Karlsruhe, Germany) equipped with a Zorbax SB-C18 column (250 mm × 4.6 mm i.d., 5 μm) and an Agilent photodiode array detector. The mobile phase was 0.4% acetic acid (MPA): acetonitrile (MPB), pumped at 1 mL/min in a linear gradient mode, with 5%–25% MPB (0–40 min), 25%–35% MPB (40–45 min), 35%–50% MPB (45–50 min), and 50%–55% MPB (50–55 min). The column was kept at 30 °C, and the injection volume was 20 μL. The phenolic compounds were monitored at 280 nm, and their concentrations were calculated based on the standard curves constructed with authentic standards. Concentration was expressed as mg/g DW.</p></sec>
<sec>
<title>3.5. Total Phenols in MLE</title>
<p>Total phenols (TP) in water-reconstituted mulberry leaf extract (MLE) were determined by the method of Chen <italic>et al</italic>. [<xref ref-type="bibr" rid="b24-ijms-13-16544">24</xref>], and the results were expressed as gallic acid equivalents (GAE) mg/g DW.</p></sec>
<sec>
<title>3.6. FRAP Assay</title>
<p>The FRAP value of water-reconstituted MLE was determined via a redox-linked reduction of Fe<sup>3+</sup>-2,4,6-tripyridyl-<italic>S</italic>-triazine to a blue-colored Fe<sup>2+</sup> complex at pH 3.5, according to the method of Chen <italic>et al</italic>. [<xref ref-type="bibr" rid="b24-ijms-13-16544">24</xref>]. MLE was incubated with the FRAP reagent for 1 h at room temperature. The absorbance was measured at 593 nm, using a Shimadzu UV1700 spectrophotometer (Shimadzu Instruments Manufacturing, CO., LTD, Suzhou, China). The FRAP value was expressed as mmol Trolox equivalents (TE)/100 g DW.</p></sec>
<sec>
<title>3.7. Superoxide Radical Scavenging Activity (SSA)</title>
<p>SSA was measured in a xanthine/xanthine oxidase system with spectrophotometric determination of the reduction product of nitroblue tetrazolium (NBT), according to the method described by Chun <italic>et al</italic>. [<xref ref-type="bibr" rid="b25-ijms-13-16544">25</xref>], with slight modifications. Briefly, water-reconstituted MLE was incubated with a reaction mixture of 50 μmol/L NBT, 50 μmol/L xanthine and 0.05 U/mL xanthine oxidase (final concentrations) for 10 min at room temperature, and then, the change in absorbance of NBT was measured at 560 nm using a Shimadzu UV1700 spectrophotometer. The SSA was expressed as a percentage of the control, which did not contain antioxidants, based on the following equation:</p>
<disp-formula id="FD1">
<label>(1)</label>
<mml:math id="mm1" display="block">
<mml:semantics id="sm1">
<mml:mrow>
<mml:mtext>Scavenging activity </mml:mtext>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>=</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>-</mml:mo>
<mml:mi>A</mml:mi>
<mml:msub>
<mml:mrow>
<mml:mrow>
<mml:mtext>sample</mml:mtext></mml:mrow></mml:mrow>
<mml:mrow>
<mml:mn>560</mml:mn></mml:mrow></mml:msub>
<mml:mo>/</mml:mo>
<mml:mi>A</mml:mi>
<mml:msub>
<mml:mrow>
<mml:mrow>
<mml:mtext>control</mml:mtext></mml:mrow></mml:mrow>
<mml:mrow>
<mml:mn>560</mml:mn></mml:mrow></mml:msub>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>×</mml:mo>
<mml:mn>100</mml:mn>
<mml:mo>%</mml:mo></mml:mrow></mml:semantics></mml:math></disp-formula></sec>
<sec>
<title>3.8. Hydroxyl Radical Scavenging Activity (HSA)</title>
<p>HSA of water-reconstituted MLE was assessed using the hydroxyl radical system generated by the Fenton reaction, according to the method of Heo <italic>et al</italic>. [<xref ref-type="bibr" rid="b26-ijms-13-16544">26</xref>] with minor modifications. Briefly, 1 mL of water-reconstituted MLE was added to a reaction mixture of 1 mL brilliant green (0.435 mmol/L), 0.5 mL FeSO<sub>4</sub> (2 mmol/L) and 1.5 mL H<sub>2</sub>O<sub>2</sub> (3%). After 20 min of incubation at room temperature, the absorbance was measured at 624 nm, using a Shimadzu UV1700 spectrophotometer. The HSA was expressed as percentage of the control, which did not contain antioxidants, based on the following equation:</p>
<disp-formula id="FD2">
<label>(2)</label>
<mml:math id="mm2" display="block">
<mml:semantics id="sm2">
<mml:mrow>
<mml:mtext>Scavenging activity </mml:mtext>
<mml:mo stretchy="false">(</mml:mo>
<mml:mo>%</mml:mo>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>=</mml:mo>
<mml:mo stretchy="false">(</mml:mo>
<mml:mn>1</mml:mn>
<mml:mo>-</mml:mo>
<mml:mi>A</mml:mi>
<mml:msub>
<mml:mrow>
<mml:mrow>
<mml:mtext>sample</mml:mtext></mml:mrow></mml:mrow>
<mml:mrow>
<mml:mn>624</mml:mn></mml:mrow></mml:msub>
<mml:mo>/</mml:mo>
<mml:mi>A</mml:mi>
<mml:msub>
<mml:mrow>
<mml:mrow>
<mml:mtext>control</mml:mtext></mml:mrow></mml:mrow>
<mml:mrow>
<mml:mn>624</mml:mn></mml:mrow></mml:msub>
<mml:mo stretchy="false">)</mml:mo>
<mml:mo>×</mml:mo>
<mml:mn>100</mml:mn>
<mml:mo>%</mml:mo></mml:mrow></mml:semantics></mml:math></disp-formula></sec>
<sec sec-type="methods">
<title>3.9. Statistics and Data Analysis</title>
<p>Statistical analysis was performed using SPSS (version 17, SPSS Inc., Chicago, IL, USA, 2008). The results were expressed as mean ± standard deviation (<italic>SD</italic>). One-way ANOVA was performed to determine the effect of cultivar or harvest month, followed by the Tukey-Kramer HSD test, with which the significance was obtained. A <italic>p</italic>-value ≤ 0.05 was considered statistically significant. The Pearson’s correlation was performed between all study outcomes. Canonical discriminant analysis (CDA) was performed using SAS (version 9.1.3, SAS Institute Inc., Cary, NC, USA, 2002) with standard pooled variance and 80% confidence ellipses. Cultivar and harvest month were independently modeled using ChA, Rut, BeA, Ast, total phenol, FRAP, HSA and SSA.</p></sec></sec>
<sec sec-type="conclusions">
<title>4. Conclusions</title>
<p>There were significant variations in the phenolic content and antioxidant activity of leaves from six mulberry cultivars, collected over seven months. As all mulberry plants were cultivated in the same orchard, the differences could not be ascribed to growing location, environment or agricultural practice, but to genotype and maturation of leaves. Our data suggest that Kq 10 and May are the better cultivar and harvest month, respectively, in the context of phenolic content and antioxidant activity. Our results can help farmers to select a cultivar and harvest month that would allow them to produce mulberry leaves with superior quality. More work is needed to examine potential differences in the bio-efficacy of mulberry leaves from different cultivars and harvest months. Furthermore, more information is needed on the impact of processing and storage on the bioactivities of mulberry leaves.</p></sec>
<sec sec-type="supplementary-material">
<title>Supplementary Information</title>
<supplementary-material id="s1-ijms-13-16544" content-type="local-data">
<media xlink:href="ijms-13-16544-s001.pdf" mimetype="application" mime-subtype="pdf"/></supplementary-material></sec></body>
<back>
<ack>
<title>Acknowledgments</title>
<p>We sincerely thank Cui-Ming Tang for her kind help in providing samples and species/cultivar information. This study was supported by the National Natural Science Foundation, China (No. 31071534) and the Team Research Program of Guangdong Natural Science Foundation, China (No. 9351064001000002).</p></ack>
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<sec sec-type="display-objects">
<title>Figure and Tables</title>
<fig id="f1-ijms-13-16544" position="float">
<label>Figure 1</label>
<caption>
<p>Canonical discriminant analysis of the mulberry cultivars (<bold>A</bold>) and harvest month of mulberry leaves (<bold>B</bold>).</p></caption>
<graphic xlink:href="ijms-13-16544f1.gif"/></fig>
<table-wrap id="t1-ijms-13-16544" position="float">
<label>Table 1</label>
<caption>
<p>Effect of cultivar on the content of phenolic compounds in mulberry leaves.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="middle" rowspan="3">Cultivar</th>
<th colspan="4" align="center" valign="bottom">Individual phenolic compound (mg/g DW)</th>
<th align="center" valign="middle" rowspan="3">Sum</th></tr>
<tr>
<th colspan="4" align="left" valign="bottom">
<hr/></th></tr>
<tr>
<th align="center" valign="bottom">ChA</th>
<th align="center" valign="bottom">Rut</th>
<th align="center" valign="bottom">BeA</th>
<th align="center" valign="bottom">Ast</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Da 10</td>
<td align="center" valign="top">1.5 ± 0.6</td>
<td align="center" valign="top">0.4 ± 0.3 <sup>a</sup></td>
<td align="center" valign="top">0.1 ± 0.1 <sup>a</sup></td>
<td align="center" valign="top">0.3 ± 0.2</td>
<td align="center" valign="top">2.3 ± 1.0 <sup>a</sup></td></tr>
<tr>
<td align="left" valign="top">Kq 10</td>
<td align="center" valign="top">2.2 ± 0.6</td>
<td align="center" valign="top">1.2 ± 0.4 <sup>b</sup></td>
<td align="center" valign="top">0.3 ± 0.2 <sup>a</sup></td>
<td align="center" valign="top">0.3 ± 0.2</td>
<td align="center" valign="top">4.0 ± 0.6 <sup>b</sup></td></tr>
<tr>
<td align="left" valign="top">Ns 14</td>
<td align="center" valign="top">2.0 ± 0.3</td>
<td align="center" valign="top">0.2 ± 0.1 <sup>a</sup></td>
<td align="center" valign="top">0.5 ± 0.2 <sup>a,b</sup></td>
<td align="center" valign="top">0.3 ± 0.2</td>
<td align="center" valign="top">3.0 ± 0.7 <sup>a</sup></td></tr>
<tr>
<td align="left" valign="top">Yu 7803</td>
<td align="center" valign="top">1.6 ± 0.4</td>
<td align="center" valign="top">0.1 ± 0.2 <sup>a</sup></td>
<td align="center" valign="top">0.5 ± 0.1 <sup>a</sup></td>
<td align="center" valign="top">0.5 ± 0.2</td>
<td align="center" valign="top">2.7 ± 0.5 <sup>a</sup></td></tr>
<tr>
<td align="left" valign="top">Ys 10</td>
<td align="center" valign="top">2.1 ± 0.6</td>
<td align="center" valign="top">0.7 ± 0.2 <sup>a,b</sup></td>
<td align="center" valign="top">0.8 ± 0.2 <sup>b</sup></td>
<td align="center" valign="top">0.6 ± 0.2</td>
<td align="center" valign="top">4.2 ± 1.1 <sup>b</sup></td></tr>
<tr>
<td align="left" valign="top">Bd 2</td>
<td align="center" valign="top">2.3 ± 0.4</td>
<td align="center" valign="top">0.4 ± 0.2 <sup>a</sup></td>
<td align="center" valign="top">0.5 ± 0.2 <sup>a,b</sup></td>
<td align="center" valign="top">0.5 ± 0.2</td>
<td align="center" valign="top">3.7± 0.6 <sup>a,b</sup></td></tr></tbody></table>
<table-wrap-foot><fn id="tfn1-ijms-13-16544">
<p>The experimental results were analyzed by one-way ANOVA and Tukey-Kramer HSD. Values (mean ± SD, <italic>n</italic> = 7) with no letters in common are significantly different (<italic>p</italic> &lt; 0.05) within a column.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t2-ijms-13-16544" position="float">
<label>Table 2</label>
<caption>
<p>Effect of cultivar on TP content and antioxidant activity of mulberry leaves.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="middle">Cultivar</th>
<th align="center" valign="middle">TP (GAE mg/g DW)</th>
<th align="center" valign="middle">FRAP (mmol TE/100 g DW)</th>
<th align="center" valign="middle">HSA (%)</th>
<th align="center" valign="middle">SSA (%)</th></tr></thead>
<tbody>
<tr>
<td align="center" valign="top">Da 10</td>
<td align="center" valign="top">35.4 ± 4.7 <sup>a,b</sup></td>
<td align="center" valign="top">11.5 ± 2.2</td>
<td align="center" valign="top">60.11 ± 5.9 <sup>b</sup></td>
<td align="center" valign="top">44.1 ± 7.1 <sup>a,b</sup></td></tr>
<tr>
<td align="center" valign="top">Kq 10</td>
<td align="center" valign="top">44.7 ± 10.7 <sup>b</sup></td>
<td align="center" valign="top">14.3 ± 1.5</td>
<td align="center" valign="top">72.8 ± 6.8 <sup>c</sup></td>
<td align="center" valign="top">58.3 ± 13.7 <sup>b</sup></td></tr>
<tr>
<td align="center" valign="top">Ns 14</td>
<td align="center" valign="top">30.4 ± 6.3 <sup>a</sup></td>
<td align="center" valign="top">12.1 ± 1.6</td>
<td align="center" valign="top">50.9 ± 8.6 <sup>a</sup></td>
<td align="center" valign="top">38.0 ± 4.6 <sup>a</sup></td></tr>
<tr>
<td align="center" valign="top">Yu 7803</td>
<td align="center" valign="top">40.2 ± 6.1 <sup>a,b</sup></td>
<td align="center" valign="top">13.4 ± 1.4</td>
<td align="center" valign="top">60.0 ± 9.3 <sup>b</sup></td>
<td align="center" valign="top">45.93 ± 9.5 <sup>a,b</sup></td></tr>
<tr>
<td align="center" valign="top">Ys 10</td>
<td align="center" valign="top">43.0 ± 5.7 <sup>b</sup></td>
<td align="center" valign="top">12.1 ± 2.5</td>
<td align="center" valign="top">69.3 ± 7.8 <sup>c</sup></td>
<td align="center" valign="top">42.2 ± 7.7 <sup>a</sup></td></tr>
<tr>
<td align="center" valign="top">Bd 2</td>
<td align="center" valign="top">44.5 ± 8.0 <sup>b</sup></td>
<td align="center" valign="top">13.8 ± 1.8</td>
<td align="center" valign="top">69.7 ± 3.3 <sup>c</sup></td>
<td align="center" valign="top">53.1 ± 11.4 <sup>a,b</sup></td></tr></tbody></table>
<table-wrap-foot><fn id="tfn2-ijms-13-16544">
<p>The experimental results were analyzed by one-way ANOVA and Tukey-Kramer HSD. Values (mean ± SD, <italic>n</italic> = 7) with no letters in common are significantly different (<italic>p</italic> &lt; 0.05) within a column.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t3-ijms-13-16544" position="float">
<label>Table 3</label>
<caption>
<p>Coefficients of Pearson’s correlation test between experimental parameters.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="bottom"/>
<th align="center" valign="bottom">FRAP</th>
<th align="center" valign="bottom">SASC</th>
<th align="center" valign="bottom">HASC</th>
<th align="center" valign="bottom">ChA</th>
<th align="center" valign="bottom">Rut</th>
<th align="center" valign="bottom">BeA</th>
<th align="center" valign="bottom">Ast</th></tr></thead>
<tbody>
<tr>
<td align="center" valign="top">TP</td>
<td align="center" valign="top">0.66 **</td>
<td align="center" valign="top">0.56 **</td>
<td align="center" valign="top">0.75 **</td>
<td align="center" valign="top">0.37 *</td>
<td align="center" valign="top">0.41 **</td>
<td align="center" valign="top">0.25</td>
<td align="center" valign="top">0.42 **</td></tr>
<tr>
<td align="center" valign="top">FRAP</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.41 **</td>
<td align="center" valign="top">0.42 **</td>
<td align="center" valign="top">0.48 **</td>
<td align="center" valign="top">0.32 *</td>
<td align="center" valign="top">0.20</td>
<td align="center" valign="top">0.30</td></tr>
<tr>
<td align="center" valign="top">SSA</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.38 *</td>
<td align="center" valign="top">0.23</td>
<td align="center" valign="top">0.28</td>
<td align="center" valign="top">−0.18</td>
<td align="center" valign="top">0.12</td></tr>
<tr>
<td align="center" valign="top">HSA</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.35 *</td>
<td align="center" valign="top">0.52 **</td>
<td align="center" valign="top">0.13</td>
<td align="center" valign="top">0.29</td></tr>
<tr>
<td align="center" valign="top">ChA</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.28</td>
<td align="center" valign="top">0.34 *</td>
<td align="center" valign="top">0.23</td></tr>
<tr>
<td align="center" valign="top">Rut</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.03</td>
<td align="center" valign="top">0.17</td></tr>
<tr>
<td align="center" valign="top">BeA</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">-</td>
<td align="center" valign="top">0.57 **</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn3-ijms-13-16544">
<p>Differences were considered to be statistically significant when * <italic>p</italic> ≤ 0.05 and ** <italic>p</italic> ≤ 0.01.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t4-ijms-13-16544" position="float">
<label>Table 4</label>
<caption>
<p>Effect of harvest month on 4 phenolic compounds in mulberry leaves.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="middle" rowspan="3">Harvest month</th>
<th colspan="5" align="center" valign="middle">Individual phenolic compound (mg/g DW)</th></tr>
<tr>
<th colspan="5" align="left" valign="middle">
<hr/></th></tr>
<tr>
<th align="center" valign="middle">ChA</th>
<th align="center" valign="middle">Rut</th>
<th align="center" valign="middle">BeA</th>
<th align="center" valign="middle">Ast</th>
<th align="center" valign="middle">Sum</th></tr></thead>
<tbody>
<tr>
<td align="left" valign="top">Apr.</td>
<td align="center" valign="top">1.9 ± 0.6</td>
<td align="center" valign="top">0.4 ± 0.4</td>
<td align="center" valign="top">0.4 ± 0.3</td>
<td align="center" valign="top">0.2 ± 0.2 <sup>a</sup></td>
<td align="center" valign="top">2.8 ± 1.3</td></tr>
<tr>
<td align="left" valign="top">May</td>
<td align="center" valign="top">2.3 ± 0.7</td>
<td align="center" valign="top">0.5 ± 0.4</td>
<td align="center" valign="top">0.6 ± 0.4</td>
<td align="center" valign="top">0.4 ± 0.1 <sup>a,b</sup></td>
<td align="center" valign="top">3.7 ± 1.1</td></tr>
<tr>
<td align="left" valign="top">Jun.</td>
<td align="center" valign="top">2.2 ± 0.4</td>
<td align="center" valign="top">0.5 ± 0.3</td>
<td align="center" valign="top">0.5 ± 0.3</td>
<td align="center" valign="top">0.3 ± 0.1 <sup>a,b</sup></td>
<td align="center" valign="top">3.4 ± 0.6</td></tr>
<tr>
<td align="left" valign="top">Jul.</td>
<td align="center" valign="top">1.7 ± 0.3</td>
<td align="center" valign="top">0.3 ± 0.3</td>
<td align="center" valign="top">0.4 ± 0.2</td>
<td align="center" valign="top">0.4 ± 0.1 <sup>a,b</sup></td>
<td align="center" valign="top">2.9 ± 0.6</td></tr>
<tr>
<td align="left" valign="top">Aug.</td>
<td align="center" valign="top">1.7 ± 0.5</td>
<td align="center" valign="top">0.6 ± 0.6</td>
<td align="center" valign="top">0.5 ± 0.2</td>
<td align="center" valign="top">0.5 ± 0.1 <sup>b</sup></td>
<td align="center" valign="top">3.3 ± 0.6</td></tr>
<tr>
<td align="left" valign="top">Sep.</td>
<td align="center" valign="top">2.0 ± 0.5</td>
<td align="center" valign="top">0.6 ± 0.5</td>
<td align="center" valign="top">0.5 ± 0.3</td>
<td align="center" valign="top">0.5 ± 0.3 <sup>a,b</sup></td>
<td align="center" valign="top">3.6 ± 1.1</td></tr>
<tr>
<td align="left" valign="top">Oct.</td>
<td align="center" valign="top">1.9 ± 0.7</td>
<td align="center" valign="top">0. 7 ± 0.6</td>
<td align="center" valign="top">0.4 ± 0.3</td>
<td align="center" valign="top">0.5 ± 0.3 <sup>a,b</sup></td>
<td align="center" valign="top">3.6 ± 1.6</td></tr></tbody></table>
<table-wrap-foot><fn id="tfn4-ijms-13-16544">
<p>The experimental results were analyzed by one-way ANOVA and Tukey-Kramer HSD. Values (mean ± SD, <italic>n</italic> = 6) with no letters in common are significantly different (<italic>p</italic> &lt; 0.05) within a column.</p></fn></table-wrap-foot></table-wrap>
<table-wrap id="t5-ijms-13-16544" position="float">
<label>Table 5</label>
<caption>
<p>Effect of harvest month on TP and antioxidant activity of mulberry leaves.</p></caption>
<table frame="hsides" rules="groups">
<thead>
<tr>
<th align="center" valign="bottom">Harvest Month</th>
<th align="center" valign="bottom">TP (GAE mg/g DW)</th>
<th align="center" valign="bottom">FRAP (mmol TE /100 g DW)</th>
<th align="center" valign="bottom">HSA (%)</th>
<th align="center" valign="bottom">SSA (%)</th></tr></thead>
<tbody>
<tr>
<td align="center" valign="top">Apr.</td>
<td align="center" valign="top">28.7 ± 6.3 <sup>a</sup></td>
<td align="center" valign="top">11.2 ± 1.3 <sup>a</sup></td>
<td align="center" valign="top">56.4 ± 9.8</td>
<td align="center" valign="top">34.2 ± 4.8 <sup>a</sup></td></tr>
<tr>
<td align="center" valign="top">May</td>
<td align="center" valign="top">49.0 ± 9.0 <sup>b</sup></td>
<td align="center" valign="top">15.8 ± 1.1 <sup>b</sup></td>
<td align="center" valign="top">70.4 ± 10.8</td>
<td align="center" valign="top">53.8 ± 16.2 <sup>b</sup></td></tr>
<tr>
<td align="center" valign="top">Jun.</td>
<td align="center" valign="top">42.3 ± 8.4 <sup>b</sup></td>
<td align="center" valign="top">12.5 ± 0.9 <sup>a</sup></td>
<td align="center" valign="top">64.9 ± 7.7</td>
<td align="center" valign="top">54.1 ± 11.5 <sup>b</sup></td></tr>
<tr>
<td align="center" valign="top">Jul.</td>
<td align="center" valign="top">38.2 ± 5.1 <sup>a,b</sup></td>
<td align="center" valign="top">11.9 ± 2.4 <sup>a</sup></td>
<td align="center" valign="top">62.4 ± 11.1</td>
<td align="center" valign="top">48.7 ± 8.6 <sup>a,b</sup></td></tr>
<tr>
<td align="center" valign="top">Aug.</td>
<td align="center" valign="top">37.2 ± 3.5 <sup>a,b</sup></td>
<td align="center" valign="top">13.1 ± 1.1 <sup>a,b</sup></td>
<td align="center" valign="top">61.2 ± 8.7</td>
<td align="center" valign="top">49.7 ± 7.1 <sup>a,b</sup></td></tr>
<tr>
<td align="center" valign="top">Sep.</td>
<td align="center" valign="top">38.9 ± 5.2 <sup>a,b</sup></td>
<td align="center" valign="top">12.4 ± 2.4 <sup>a</sup></td>
<td align="center" valign="top">64.3 ± 13.9</td>
<td align="center" valign="top">45.3 ± 8.0 <sup>a,b</sup></td></tr>
<tr>
<td align="center" valign="top">Oct.</td>
<td align="center" valign="top">43.7 ± 7.5 <sup>b</sup></td>
<td align="center" valign="top">13.1 ± 1.7 <sup>a,b</sup></td>
<td align="center" valign="top">67.0 ± 7.0</td>
<td align="center" valign="top">42.8 ± 9.2 <sup>a,b</sup></td></tr></tbody></table>
<table-wrap-foot><fn id="tfn5-ijms-13-16544">
<p>The experimental results were analyzed by one-way ANOVA and Tukey-Kramer HSD. Values (mean ± SD, <italic>n</italic> = 6) with no letters in common are significantly different (<italic>p</italic> &lt; 0.05) within a column.</p></fn></table-wrap-foot></table-wrap></sec></back></article>
