當發生食用油摻偽事件、探討重金屬對生物體的影響、或是日常塑膠用品含環境荷爾蒙的塑膠添加劑時,相較於以往只針對單一目標,如今,該如何針對有害物質進行非目標性的檢測亦備受注目。近年來飛行時間二次質譜儀除了被廣泛用於分析無機材料表面外,因可同時偵測有機分子,故在生化方面亦有相當廣泛的應用。 因此,本篇研究的第一部分將飛行時間二次離子質譜儀應用於77件動物油品的檢測,並配合階層式群集分析、k平均演算法、與主成分分析進行油種的判別,並成功區分出豬油、奶油、魚油三大類油種。第二部分有別於以往針對生物體受重金屬汙染時,進行總金屬濃度的探討,本研究結合了生物切片與質譜技術,可成功更進一步觀察到銅在斑馬魚體內的分布情形,進而驗證某些毒理機制的論述。最後我們針對28件塑膠製品進行非目標性分析,相較於傳統儀器分析時需考慮到使用溶劑的種類及萃取效率,本實驗不需使用溶劑即可進行非目標性分析,發現其中10件樣品含有對苯二甲酸二異辛酯(DOTP),4件含有鄰苯二甲酸二異壬酯(DINP)、1件含有鄰苯二甲酸二(2-乙基己基)酯(DEHP)。
When it comes to adulteration of cooking oil, impact of heavy metals on the organism, or the daily plastic products containing additives with endocrine disrupting chemicals, non-target detection of harmful substances also catch our attention. In addition to being widely used to analyze the surface of inorganic materials, the time-of-flight secondary mass spectrometry has a wide range of applications in biochemistry because of simultaneous detection of organic molecules. Therefore, the first part of this study will focus on adulteration of 77 animal oils. With hierarchical cluster analysis, K-means algorithm, and principal component analysis for oil species identification, we successfully distinguish eight of five types of oils such as lard, butter and fish oil. Different from the previous measurement on the total metal concentration when the organism is contaminated by heavy metals, our study combines bio-slice and mass spectrometry technology to successfully observe the distribution of copper in zebrafish and may validate certain toxicological mechanisms. In the last part, we conducted non-target analysis on 28 plastic products. Compared with traditional instrument analysis, we have little concern for the type of solvent used and extraction efficiency since our pretreatment is solvent-free and suitable for non-target analysis. It also comes to our concern that, four of twenty-eight plastic products contains DINP, one contain DEHP, which are endocrine disrupting chemicals and ten of twenty-eight products contains DOTP. It may enter human body under long-term use.