Rhaponticin Analysis Service

v-innovate Technologies provides high performance liquid chromatography (HPLC) based methods for rhaponticin analysis, which provides sufficient stability, sensitivity and high resolution for identification and quantification of rhaponticin. This approach has the advantages of simple, stable, fast, accurate, specific and reproducible, which can help researchers to analyze rhaponticin effectively.

Overview

Rhubarb is one of the traditional medicines commonly used to treat constipation, inflammation and cancer. The main purgative components of genuine rhubarb are senoside and anthraquinone glycoside. Compared with the genuine rhubarb, the non-genuine rhubarb has lower anthraquinone content and does not contain sennatin. The non-genuine rhubarb contains high content of rhaponticin, which can reduce the level of sugar and fat in the blood and is used to treat hyperlipidemia, obesity and diabetes. Generally speaking, rhaponticin should not be detected in genuine rhubarb. However, there exists the phenomenon of replacing genuine rhubarb with non-genuine rhubarb in practice, which affects the efficacy. It is of great practical significance to establish a method for the analysis and detection of rhaponticin. v-innovate Technologies provides the simple, rapid, accurate, affordable and highly automated analytical method and equipment to analyze rhaponticin. High performance liquid chromatography (HPLC) can solve some of the problems associated with rhaponticin analysis. This analysis method is very simple, fast, accurate and reproducible. Improved extraction and purification steps can also increase the sensitivity of the analytical method.

Applications of Rhaponticin Analysis

• Qualitative analysis of the main types of rhaponticin
• Quantitative analysis of rhaponticin content
• Ensure safety and quality
• Provide basis for improvement

Advantages of Our Rhaponticin Analysis Service

High cost performance. Our laboratory can meet the needs of customers who require third-party testing services. One-stop service mode can greatly save customers' time. Comprehensive project analysis solutions can also bring the highest cost performance.

Strong analytical skills. With many years of experience in HPLC service, v-innovate Technologies can quickly and accurately analyze the HPLC results and conduct professional analysis.

Constantly updated. We have a complete laboratory network and professional technicians to provide reliable plant targeted metabolomics service and real-time updates of industry knowledge.

Service Workflow

Our newly developed sample preprocessing method provides safety, environmental protection, rapidness, effectiveness, and the average recovery rate is up to 99%. Sample preprocessing at v-innovate Technologies complies with the in-house standard operation procedures (SOP), ensuring maximized homogeneity between samples.

Figure 1. Rhaponticin analysis service workflow.

Mode phase: methanol-acetonitrile-water

Quantitative assay: external standard method

Linear range: R2 > 0.99

Time: dozens of minutes, slightly different according to different ingredients

Analysis content:

• Standard curve creation
• Raw data preprocessing
• Absolute quantitative and qualitative analysis of rhaponticin
• Differential metabolite screening
• Optimal analyses

Sample Requirements

1. Fresh tissues >1 g. If possible, samples should be frozen in liquid nitrogen right after collection, and then transferred to -80°C for storage.

2. Product samples.

At least 3 biological replicates.

Delivery

• Experimental procedure
• Parameters of HPLC
• Purity analysis report
• HPLC raw data files and HPLC data quality checks
• Metabolites quantification data
• Custom analysis report

HPLC based profiling of rhaponticin enables quantitative analyses in a faster, more convenient, and more sensitive manner. With decades of experience in HPLC services, v-innovate Technologies has a proven track record supporting diverse rhaponticin detection and quantitation. We can meet your specific project requirements, from sample to bioinformatics.