2009•Journal of Hunan Institute of Science and TechnologyRequires access

Extraction and Determination of Total Flavonoids from Herba Plantagin

Ying Zhao

Open publisher page 0 citations

Abstract

Extract total flavonoids from Herba Plantagin by the method of ultrasonic wave extraction and the content of total flavonoids were determined by spectrophotomet.The detection wave length was at 510nm and the system of NaNO2-Al(NO3)3-NaOH.It was shown that 40%,1:20,50℃,400W,40min,the extraction rate of flavonoids reached 9.435mg/g.

About this research paper

What this paper is about

Extract total flavonoids from Herba Plantagin by the method of ultrasonic wave extraction and the content of total flavonoids were determined by spectrophotomet.The detection wave length was at 510nm and the system of NaNO2-Al(NO3)3-NaOH.It was shown that 40%,1:20,50℃,400W,40min,the extraction rate of flavonoids reached 9.435mg/g.

Why it matters

A significance statement is not available in the OpenAlex record.

Key contribution

A contribution statement is not available in the OpenAlex record.

Method / approach

Method details are not available in the OpenAlex metadata.

Main findings

Findings are not separately available in the OpenAlex metadata.

Limitations

Limitations are not available in the OpenAlex metadata.

Applications

Application details are not available in the OpenAlex metadata.

Available abstract

Extract total flavonoids from Herba Plantagin by the method of ultrasonic wave extraction and the content of total flavonoids were determined by spectrophotomet.The detection wave length was at 510nm and the system of NaNO2-Al(NO3)3-NaOH.It was shown that 40%,1:20,50℃,400W,40min,the extraction rate of flavonoids reached 9.435mg/g.

Key concepts: Extraction (chemistry), Ultrasonic sensor, Chemistry, Chromatography, Traditional medicine, Physics, Medicine, Acoustics

Related papers

Back to paper searchBrowse research topicsOriginal source
Extraction and Determination of Total Flavonoids from Herba Plantagin — Research Paper | ScholarLens