Technical Note
Fang Wang,Jiayu Zhang, Peihua Yin, Zijian Wang, Luyan Dong and Jianqiu Lu
Abstract
In the present study, a practical approach of mass defect filter (MDF), a data-mining technique, was developed and evaluated for the rapid classification of complicated peaks into well-known chemical families based on the exact mass acquired by high-resolution mass spectrometry. The full-scan mass data of Kudiezi injection was acquired by high-performance liquid chromatography coupled with a linear ion trap-orbitrap mass spectrometer system (HPLC-LTQ-Orbitrap) that features high resolution, mass accuracy and sensitivity. To screen the polyphenols including chlorogenic acids (CGAs) and flavonoids in the injection, the MDF approach was employed to rapidly screen them from the complex system. First, two filtering
standards of neochlorogenic acid (3-CQA), chlorogenic acid (5-CQA), crypt chlorogenic acid (4-CQA), isochlorogenic acid A (3,5-DiCQA), isochlorogenic acid B (3,4-DiCQA) and isochlorogenic acid C (4,5-DiCQA) were purchased from Chengdu Biopurify Phytochemcials