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서지반출
Qualitative Analysis of the Major Constituents in Traditional Oriental Prescription Bang-poong-tong-sung-san by Liquid Chromatography/Ultraviolet Detector/Ion-Trap Time-of-Flight Mass Spectrometry
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  • Qualitative Analysis of the Major Constituents in Traditional Oriental Prescription Bang-poong-tong-sung-san by Liquid Chromatography/Ultraviolet Detector/Ion-Trap Time-of-Flight Mass Spectrometry
  • Qualitative Analysis of the Major Constituents in Traditional Oriental Prescription Bang-poong-tong-sung-san by Liquid Chromatography/Ultraviolet Detector/Ion-Trap Time-of-Flight Mass Spectrometry
저자명
Eom. Han Young,Kim. Hyung-Seung,Han. Sang Beom
간행물명
Mass spectrometry letters
권/호정보
2014년|5권 1호|pp.24-29 (6 pages)
발행정보
한국질량분석학회
파일정보
정기간행물|ENG|
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이 논문은 한국과학기술정보연구원과 논문 연계를 통해 무료로 제공되는 원문입니다.
서지반출

기타언어초록

An advanced and reliable high performance liquid chromatography (HPLC)/ultraviolet detector (UV)/ion-trap time-of-flight (IT-TOF) mass spectrometry was developed for the simultaneous quantification of 19 marker compounds in Bang-poong-tong-sung-san (BPTS), a traditional oriental prescription. Various parameters affecting HPLC separation and IT-TOF detection were investigated, and optimized conditions were identified. The separation was achieved on a Capcell PAK C18 column ($1.5mm{ imes}250mm$, $5{mu}m$ particle size) using a gradient elution of acetonitrile and water containing 0.1% formic acid at a flow rate of 0.1 mL/min. The column temperature was maintained at $40^{circ}C$ and the injection volume was $2{mu}L$. IT-TOF system was equipped with an electrospray ion source (ESI) operating in positive or negative ion mode. The optimized electrospray ionization parameters were as follows: ion spray voltage, +4.5 kV (positive ion mode), or -3.5 kV (negative ion mode); drying gas ($N_2$), 1.5 L/min; heat block temperature, $200^{circ}C$. Automatic $MS^n$ (n = 1~3) analyses were carried out to obtain structural information of analytes. Elemental compositions and their mass errors were calculated based on their accurate masses obtained from a formula predictor software. The marker compounds in BPTS were identified by comparisons between $MS^n$ spectra from standards and those from extracts. Moreover, the libraries of $MS^2$ and $MS^3$ spectra and accurate masses of parent and fragment ions for marker compounds were constructed. The developed method was successfully applied to the BPTS extracts and identified 17 out of 19 marker compounds in the BPTS extracts.