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Optimization of Detection Methods for Flavonols in Cassava Leaves
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Qinfei WANG1, Liming LIN1, Maofu XUE1, Jinquan ZHANG2, Houmei YU1, Zhenwen ZHANG1, *
Chinese Journal of Tropical Crops | 2023, 44(12) : 2424 - 2436
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Chinese Journal of Tropical Crops | 2023, 44(12): 2424-2436
Special Focus: Resources and Utilization of Cassava
Optimization of Detection Methods for Flavonols in Cassava Leaves
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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
Published: 2023-12-25 doi: 10.3969/j.issn.1000-2561.2023.12.008
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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
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
Year 2023 volume 44 Issue 12
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doi: 10.3969/j.issn.1000-2561.2023.12.008
  • Receive Date:2023-09-27
  • Online Date:2026-03-05
  • Published:2023-12-25
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History
  • Received:2023-09-27
  • Revised:2023-10-24
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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
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表12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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