Preparation of Monoclonal Antibody Against Rhoifolin and Its Application in Enzyme-Linked Immunosorbent Assay of Rhoifolin and Diosmin

Yifan Liu,Zihui Jin,Di Sun, Jiexin Zheng, Bo Xu,Tianyu Lan,Qiyang Zhao,Yue He,Jing Li,Yaohai Zhang,Yongliang Cui

TALANTA（2025）

Cited 0|Views24

Abstract

Both rhoifolin and diosmin belong to flavonoids, which are widely present in citrus. Diosmin is not only used in the medical field in the world, but also used as a dietary supplement in the United States. Rhoifolin has a similar structure to diosmin and also exhibits antioxidant and anti-inflammatory properties. In this study, an anti-rhoifolin monoclonal antibody was prepared and an indirect competitive enzyme-linked immunosorbent assay (icELISA) method was established. The half-maximal inhibitory concentration (IC50) of icELISA was determined to be 4.83 ng/mL, and the detection range was 0.97-33.87 ng/mL. The results of UPLC-MS/MS and icELISA generally demonstrate consistency. Moreover, by exploiting the cross-reactivity of the antibody, diosmin in tablets can be detected by icELISA. The results demonstrate that the developed method has good accuracy, reproducibility, and broad application prospects.

Translated text

Key words

icELISA,Monoclonal antibody,Rhoifolin,Diosmin,Pomelo

Bibtex

AI Read Science

AI Summary

AI Summary is the key point extracted automatically understanding the full text of the paper, including the background, methods, results, conclusions, icons and other key content, so that you can get the outline of the paper at a glance.

Example

Background

Key content

Introduction

Methods

Results

Related work

Fund

Key content

Pretraining has recently greatly promoted the development of natural language processing (NLP)
We show that M6 outperforms the baselines in multimodal downstream tasks, and the large M6 with 10 parameters can reach a better performance
We propose a method called M6 that is able to process information of multiple modalities and perform both single-modal and cross-modal understanding and generation
The model is scaled to large model with 10 billion parameters with sophisticated deployment, and the 10 -parameter M6-large is the largest pretrained model in Chinese
Experimental results show that our proposed M6 outperforms the baseline in a number of downstream tasks concerning both single modality and multiple modalities We will continue the pretraining of extremely large models by increasing data to explore the limit of its performance

Try using models to generate summary,it takes about 60s

Must-Reading Tree

Example

Generate MRT to find the research sequence of this paper

Data Disclaimer

The page data are from open Internet sources, cooperative publishers and automatic analysis results through AI technology. We do not make any commitments and guarantees for the validity, accuracy, correctness, reliability, completeness and timeliness of the page data. If you have any questions, please contact us by email: report@aminer.cn

Chat Paper

【要点】：本研究制备了针对rhoifolin的单克隆抗体，并建立了间接竞争酶联免疫吸附试验（icELISA）方法，实现了rhoifolin和diosmin的高效检测。

【方法】：通过杂交瘤技术制备了抗rhoifolin的单克隆抗体，并利用此抗体开发了一种icELISA方法。

【实验】：实验使用UPLC-MS/MS和icELISA方法进行了rhoifolin的检测，数据集名称未提及，结果显示两种方法检测结果具有一致性；同时，利用抗体的交叉反应性，成功检测了diosmin片剂中的diosmin，icELISA的半抑制浓度（IC50）为4.83 ng/mL，检测范围为0.97-33.87 ng/mL。

去 AI 文献库对话