Article(id=1236324896075206904, tenantId=1146029695717560320, journalId=1235980609244409860, issueId=1236324890941378645, articleNumber=null, orderNo=null, doi=10.3969/j.issn.1000-2561.2023.12.008, pmid=null, cstr=null, oa=null, hot=null, price=null, onlineType=0, articleFormat=0, articleType=null, articleTypeStr=null, receivedDate=1695744000000, receivedDateStr=2023-09-27, revisedDate=1698076800000, revisedDateStr=2023-10-24, acceptedDate=null, acceptedDateStr=null, onlineDate=1772692425030, onlineDateStr=2026-03-05, pubDate=1703433600000, pubDateStr=2023-12-25, doiRegisterDate=null, doiRegisterDateStr=null, onlineIssueDate=1772692425030, onlineIssueDateStr=2026-03-05, onlineJustAcceptDate=null, onlineJustAcceptDateStr=null, onlineFirstDate=null, onlineFirstDateStr=null, sourceXml=null, magXml=null, createTime=1772692425030, creator=13701087609, updateTime=1772692425030, updator=13701087609, issue=Issue{id=1236324890941378645, tenantId=1146029695717560320, journalId=1235980609244409860, year='2023', volume='44', issue='12', pageStart='2355', pageEnd='2578', issueExtLink='null', onlineDate='null', pubDate='null', beforeIssueId=null, nextIssueId=null, price=null, status=1, issueComplete=1, articleOrder=1, issueType=-1, specialIssue=null, createTime=1772692423806, creator=13701087609, updateTime=1772693190259, updator=13701087609, preIssue=null, nextIssue=null, ext={EN=IssueExt(id=1236328105745380010, tenantId=1146029695717560320, journalId=1235980609244409860, issueId=1236324890941378645, language=EN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=), CN=IssueExt(id=1236328105749574315, tenantId=1146029695717560320, journalId=1235980609244409860, issueId=1236324890941378645, language=CN, specialIssueTitle=, coverIllustrator=null, specialIssueEditor=, specialIssueAbout=)}, issueFiles=null}, startPage=2424, endPage=2436, ext={EN=ArticleExt(id=1236324896570134814, articleId=1236324896075206904, tenantId=1146029695717560320, journalId=1235980609244409860, language=EN, title=Optimization of Detection Methods for Flavonols in Cassava Leaves, columnId=1236324891675381847, journalTitle=Chinese Journal of Tropical Crops, columnName=Special Focus: Resources and Utilization of Cassava, runingTitle=null, highlight=null, articleAbstract=

Cassava leaves are rich in abundant flavonols, and efficient extraction and analysis methods are crucial for the evaluation of flavonol content in the cassava leaves. This study aims to optimize the extraction and detection methods for four flavonols (myricetin, rutin, nicotiflorin, narcissoside) in cassava leaves and to analyze the influence of different cassava varieties, harvesting periods, and maturity on the content of these flavonols. The results indicated that using a 50% ethanol-water solution, a liquid-to-material ratio of 1∶50 (g/mL), an ultrasonic extraction temperature of 50 ℃, and an ultrasonic extraction time of 60 minutes could effectively extract the four flavonols in the cassava leaves. The combination of different C18 chromatographic columns in HPLC-DAD effectively separated the four flavonoids present in the cassava leaves. The results of the method validation showed that the four flavonols exhibited good linear correlations within a certain concentration range, with R2 values of 0.9999, 0.9999, 0.9999 and 0.9998, respectively. The detection limits ranged from 6.0 mg/kg to 10.0 mg/kg, and the quantification limits ranged from 20.0 mg/kg to 32.0 mg/kg. The detection method demonstrates good system adaptability, with retention time and peak area relative standard deviations (RSD) being less than 1%. The samples showed good stability in terms of intra-day, inter-day, and intra-month variations, with RSD in content variations ranging from 0.44% to 3.57%. The average recovery rates of the method ranged from 92.68% to 109.14%, all with RSD values less than 6.0%. Utilizing the established extraction and analysis methods, the study analyzed the content of the four flavonols in 30 cassava germplasm resources. Rutin and nicotiflorin maked up 93.50% to 99.30% of the total flavonol content in the cassava leaves, with the levels primarily determining the total flavonol content. However, the correlation order for the total flavonol content among different varieties was rutin>narcissoside>nicotiflorin>myricetin. Analysis of flavonol content in the cassava leaves from different harvest times and maturity levels of cassava germplasm revealed that in most cases, the levels of rutin, nicotiflorin and narcissoside were higher in the leaves harvested at 270 days compared to those harvested at 180 days, with myricetin varying by variety. Except for SC09, the levels of myricetin, rutin and nicotiflorin were higher in the young leaves compared to the tender and mature leaves in different cassava germplasms. The content of narcissoside in mature leaves (except for flower leaf cassava) was higher than that in young leaves and tender leaves. The results would provide an evaluation basis for the development and utilization of cassava flavonols in the selection of raw materials and quality control, and lay a foundation for revealing the accumulation rules of cassava flavonols.

, correspAuthors=Zhenwen ZHANG, authorNote=null, correspAuthorsNote=null, copyrightStatement=null, copyrightOwner=null, extLink=null, articleAbsUrl=null, sourceXml=null, magXml=null, pdfUrl=null, pdf=null, pdfFileSize=null, pdfExtLink=null, richHtmlUrl=null, mobilePdfUrl=null, reviewReport=null, pdfFirstPage=null, abstractGraph=null, abstractGraphContent=null, abstractVideo=null, citation=null, cebUrl=null, magXmlContent=null, mapNumber=null, authorCompany=null, fund=null, authors=null, authorsList=Qinfei WANG, Liming LIN, Maofu XUE, Jinquan ZHANG, Houmei YU, Zhenwen ZHANG), CN=ArticleExt(id=1236324897652265356, articleId=1236324896075206904, tenantId=1146029695717560320, journalId=1235980609244409860, language=CN, title=木薯叶黄酮醇检测方法优化及其含量比较分析, columnId=1236324891813793882, journalTitle=热带作物学报, columnName=专题:木薯资源与利用, runingTitle=null, highlight=null, articleAbstract=

木薯叶富含丰富的黄酮醇类物质,高效的提取和分析方法可为获取木薯叶黄酮醇提供至关重要的评价技术。本研究旨在优化木薯叶中4种黄酮醇物质(杨梅苷、芦丁、烟花苷和水仙苷)的提取和检测方法,以及分析不同木薯品种、采收期和成熟度对这些黄酮醇含量的影响。结果表明:使用50%乙醇水溶液,料液比为1∶50(g/mL),超声提取温度50 ℃,超声提取时间60 min可有效提取木薯叶中的4种黄酮醇;不同的C18色谱柱配备HPLC-DAD能有效分离木薯叶中的4种黄酮醇;方法验证结果显示,4种黄酮醇在一定浓度范围内线性相关性良好,R2分别达到0.9999、0.9999、0.9999和0.9998;检出限在6.0~10.0 mg/kg之间;定量限在20.0~32.0 mg/kg之间;检测方法系统适应性较好,保留时间和峰面积变化相对标准偏差(RSD)均小于1%;样品日内、日间和月内稳定性较好,含量变化RSD在0.44%~3.57%之间,平均加标回收率在92.68%~109.14%之间,RSD均小于6.0%。利用建立的提取和分析方法,分析了30个木薯种质中4种黄酮醇含量,芦丁和烟花苷含量占4种黄酮醇总量的93.50%~99.30%,其含量高低由芦丁和烟花苷决定,但品种间决定黄酮醇总含量高低的相关性顺序为芦丁>水仙苷>烟花苷>杨梅苷;木薯种质的不同采收期和不同成熟度叶片中黄酮醇分析表明,在多数木薯种质中,第270天采收的芦丁、烟花苷和水仙苷含量高于第180天,杨梅苷因品种而异;不同木薯种质(除SC09外)幼叶期的杨梅苷、芦丁和烟花苷含量均高于嫩叶期和成熟期;成熟期(除花叶木薯)水仙苷含量均高于幼叶期和嫩叶期。本研究结果可为木薯叶黄酮醇物质的开发利用(原料的选择、质量控制等方面)提供评价技术和依据,也为揭示木薯叶黄酮醇物质积累规律奠定基础。

, correspAuthors=张振文, authorNote=null, correspAuthorsNote=
* 张振文(ZHANG Zhenwen),E-mail:
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王琴飞(1982—),女,硕士,副研究员,研究方向:木薯营养评价与副产物综合利用。

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王琴飞(1982—),女,硕士,副研究员,研究方向:木薯营养评价与副产物综合利用。

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王琴飞(1982—),女,硕士,副研究员,研究方向:木薯营养评价与副产物综合利用。

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木薯叶黄酮醇检测方法优化及其含量比较分析
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王琴飞 1 , 林立铭 1 , 薛茂富 1 , 张金泉 2 , 余厚美 1 , 张振文 1, *
热带作物学报 | 专题:木薯资源与利用 2023,44(12): 2424-2436
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热带作物学报 | 专题:木薯资源与利用 2023, 44(12): 2424-2436
木薯叶黄酮醇检测方法优化及其含量比较分析
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王琴飞1, 林立铭1, 薛茂富1, 张金泉2, 余厚美1, 张振文1, *
作者信息
  • 1.中国热带农业科学院热带作物品种资源研究所/国家薯类加工技术研发分中心,海南海口 571101
  • 2.湖南农业大学园艺学院,湖南长沙 410000
  • 王琴飞(1982—),女,硕士,副研究员,研究方向:木薯营养评价与副产物综合利用。

通讯作者:

* 张振文(ZHANG Zhenwen),E-mail:
Optimization of Detection Methods for Flavonols in Cassava Leaves
Qinfei WANG1, Liming LIN1, Maofu XUE1, Jinquan ZHANG2, Houmei YU1, Zhenwen ZHANG1, *
Affiliations
  • 1.Tropical Crops Genetic Resources Institute, Chinese Academy of Tropical Agricultural Sciences/National R & D Centre for Potato Processing, Haikou, Hainan 571101, China
  • 2.College of Horticulture, Hunan Agricultural University, Changsha, Hunan 410000, China
出版时间: 2023-12-25 doi: 10.3969/j.issn.1000-2561.2023.12.008
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木薯叶富含丰富的黄酮醇类物质,高效的提取和分析方法可为获取木薯叶黄酮醇提供至关重要的评价技术。本研究旨在优化木薯叶中4种黄酮醇物质(杨梅苷、芦丁、烟花苷和水仙苷)的提取和检测方法,以及分析不同木薯品种、采收期和成熟度对这些黄酮醇含量的影响。结果表明:使用50%乙醇水溶液,料液比为1∶50(g/mL),超声提取温度50 ℃,超声提取时间60 min可有效提取木薯叶中的4种黄酮醇;不同的C18色谱柱配备HPLC-DAD能有效分离木薯叶中的4种黄酮醇;方法验证结果显示,4种黄酮醇在一定浓度范围内线性相关性良好,R2分别达到0.9999、0.9999、0.9999和0.9998;检出限在6.0~10.0 mg/kg之间;定量限在20.0~32.0 mg/kg之间;检测方法系统适应性较好,保留时间和峰面积变化相对标准偏差(RSD)均小于1%;样品日内、日间和月内稳定性较好,含量变化RSD在0.44%~3.57%之间,平均加标回收率在92.68%~109.14%之间,RSD均小于6.0%。利用建立的提取和分析方法,分析了30个木薯种质中4种黄酮醇含量,芦丁和烟花苷含量占4种黄酮醇总量的93.50%~99.30%,其含量高低由芦丁和烟花苷决定,但品种间决定黄酮醇总含量高低的相关性顺序为芦丁>水仙苷>烟花苷>杨梅苷;木薯种质的不同采收期和不同成熟度叶片中黄酮醇分析表明,在多数木薯种质中,第270天采收的芦丁、烟花苷和水仙苷含量高于第180天,杨梅苷因品种而异;不同木薯种质(除SC09外)幼叶期的杨梅苷、芦丁和烟花苷含量均高于嫩叶期和成熟期;成熟期(除花叶木薯)水仙苷含量均高于幼叶期和嫩叶期。本研究结果可为木薯叶黄酮醇物质的开发利用(原料的选择、质量控制等方面)提供评价技术和依据,也为揭示木薯叶黄酮醇物质积累规律奠定基础。

木薯叶  /  黄酮醇  /  HPLC  /  采收时期  /  成熟度

Cassava leaves are rich in abundant flavonols, and efficient extraction and analysis methods are crucial for the evaluation of flavonol content in the cassava leaves. This study aims to optimize the extraction and detection methods for four flavonols (myricetin, rutin, nicotiflorin, narcissoside) in cassava leaves and to analyze the influence of different cassava varieties, harvesting periods, and maturity on the content of these flavonols. The results indicated that using a 50% ethanol-water solution, a liquid-to-material ratio of 1∶50 (g/mL), an ultrasonic extraction temperature of 50 ℃, and an ultrasonic extraction time of 60 minutes could effectively extract the four flavonols in the cassava leaves. The combination of different C18 chromatographic columns in HPLC-DAD effectively separated the four flavonoids present in the cassava leaves. The results of the method validation showed that the four flavonols exhibited good linear correlations within a certain concentration range, with R2 values of 0.9999, 0.9999, 0.9999 and 0.9998, respectively. The detection limits ranged from 6.0 mg/kg to 10.0 mg/kg, and the quantification limits ranged from 20.0 mg/kg to 32.0 mg/kg. The detection method demonstrates good system adaptability, with retention time and peak area relative standard deviations (RSD) being less than 1%. The samples showed good stability in terms of intra-day, inter-day, and intra-month variations, with RSD in content variations ranging from 0.44% to 3.57%. The average recovery rates of the method ranged from 92.68% to 109.14%, all with RSD values less than 6.0%. Utilizing the established extraction and analysis methods, the study analyzed the content of the four flavonols in 30 cassava germplasm resources. Rutin and nicotiflorin maked up 93.50% to 99.30% of the total flavonol content in the cassava leaves, with the levels primarily determining the total flavonol content. However, the correlation order for the total flavonol content among different varieties was rutin>narcissoside>nicotiflorin>myricetin. Analysis of flavonol content in the cassava leaves from different harvest times and maturity levels of cassava germplasm revealed that in most cases, the levels of rutin, nicotiflorin and narcissoside were higher in the leaves harvested at 270 days compared to those harvested at 180 days, with myricetin varying by variety. Except for SC09, the levels of myricetin, rutin and nicotiflorin were higher in the young leaves compared to the tender and mature leaves in different cassava germplasms. The content of narcissoside in mature leaves (except for flower leaf cassava) was higher than that in young leaves and tender leaves. The results would provide an evaluation basis for the development and utilization of cassava flavonols in the selection of raw materials and quality control, and lay a foundation for revealing the accumulation rules of cassava flavonols.

cassava leaves  /  flavonols  /  HPLC  /  harvest time  /  maturity
王琴飞, 林立铭, 薛茂富, 张金泉, 余厚美, 张振文. 木薯叶黄酮醇检测方法优化及其含量比较分析. 热带作物学报, 2023 , 44 (12) : 2424 -2436 . DOI: 10.3969/j.issn.1000-2561.2023.12.008
Qinfei WANG, Liming LIN, Maofu XUE, Jinquan ZHANG, Houmei YU, Zhenwen ZHANG. Optimization of Detection Methods for Flavonols in Cassava Leaves[J]. Chinese Journal of Tropical Crops, 2023 , 44 (12) : 2424 -2436 . DOI: 10.3969/j.issn.1000-2561.2023.12.008
  • 国家重点研发计划项目(2023YFD1600601)
  • 国家现代农业产业技术体系建设专项(CARS-11-HNZZW)
2023年第44卷第12期
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doi: 10.3969/j.issn.1000-2561.2023.12.008
  • 接收时间:2023-09-27
  • 首发时间:2026-03-05
  • 出版时间:2023-12-25
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  • 收稿日期:2023-09-27
  • 修回日期:2023-10-24
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国家重点研发计划项目(2023YFD1600601)
国家现代农业产业技术体系建设专项(CARS-11-HNZZW)
作者信息
    1.中国热带农业科学院热带作物品种资源研究所/国家薯类加工技术研发分中心,海南海口 571101
    2.湖南农业大学园艺学院,湖南长沙 410000

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* 张振文(ZHANG Zhenwen),E-mail:
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https://castjournals.cast.org.cn/joweb/rdzwxb/CN/10.3969/j.issn.1000-2561.2023.12.008
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2种不同金属材料的力学参数

Family
属数
Number of
genus
种数
Number of
species
占总种数比例
Percentage of
total species (%)

Genus
种数
Number of
species
占总种数比例
Percentage of total
species (%)
鹅膏菌科Amanitaceae 2 11 5.26 鹅膏菌属 Amanita 10 4.78
小菇科 Mycenaceae 2 12 5.74 丝盖伞属 Inocybe 5 2.39
多孔菌科 Polyporaceae 8 14 6.70 蜡蘑属 Laccaria 5 2.39
红菇科 Russulaceae 3 23 11.00 小皮伞属 Marasmius 6 2.87
小菇属 Mycena 11 5.26
光柄菇属 Pluteus 5 2.39
红菇属 Russula 17 8.13
栓菌属 Trametes 5 2.39
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