HPLC 및 LC-MS/MS에 의한 곰취 가공식품 중 혼입된 동의나물 판별

Abstract

Recently, as the quality of life improves due to the increase of national income. So, natural foods consumption are increasing for example organic foods. In particular, plants are harvested from the mountains or agricultural lands have been recognized as representatives of healthy food, and the number of plants directly harvesting is increasing. As a result, there are increasing in food poisoning cases due to the inadequate consumption of inedible plants against of edible plants. The samples are suspected of being mixed due to its similar appearance of edible plant. Caltha. palustris is a toxic plant that can cause blisters, stomach pain, and sediment when it is eaten directly or any mixture of processed food. So, these two sample discrimination method establishment is very needed to prevent food poisoning. In this study, a screening test was first conducted to search for indicator compounds between C. palustris(edible plant) and L. fischeri(inedible plant), and it was extracted using soxhlet method, whereas the solvent is used as priority basis. As a result, the methanol was selected as the final solvent. For HPLC analysis, two peaks were identified only in C. palustris. These two unknown peaks were selected as indicator components and their retention times were 13.52 min and 18.16 min, respectively. Also, in order to establish an efficient analysis method, reflux extraction, hot water extraction and ultrasonic extraction were tried with different times, such as 30 minutes, 60 minutes and 120 minutes, and finally, reflux extraction 120 minutes was selected as the optimal extraction condition. The unknown peaks found in HPLC were analyzed by LC-MS/MS and it is confirmed the compound of magnoflorine and tsapine. So, it was compared with the standard of both compounds and selected as the indicator compound. Finally, magnoflorine and taspine have been identified an indicator compound of C. palustris. It will be possible to discriminate indicator compounds through optimal analysis methods when it are mixed in agricultural products distribution or processed food. In addition, it will be possible to minimize the damage caused by ingestion of plants, and L .fischeri will be improved as a reliable food in the modern food table.