食用油是我們生活中必攝取的物質，其重要性不可言喻。近年來，關於油品的食安議題層出不窮，其中，黑心用油最直接地影響並危害社會大眾的健康，造成人民在選購油品時的種種疑慮與心理上的恐慌。此事件的爆發凸顯國家對於市售各種油品檢測與篩查的不足，未能為全國人民做好食安第一線的把關。
本研究透過紫外-可見光光譜儀(UV-Vis)與頂空固相微萃取法(HS-SPME)結合氣相層析質譜儀(GC-MS)，針對市售的各類油品進行光譜與質譜判讀及揮發性化合物的成分分析。UV-Vis選擇190 nm至400 nm的波段進行吸收圖譜掃描；GC-MS則選擇譜峰面積大於0.1%以上之峰訊。
光譜結果觀察到相同油種的光譜波形相近，能有效識別不同油種；質譜定性結果則發現9種獨特存在不同油種的指標化合物(Marker Compound)，利用不同組分建置247張光譜指紋圖與182張質譜指紋圖，並結合統計軟體分析，建立完整的單一油種快篩及識別系統，成功區分16種單一油種。透過相同油種個別組分之指紋圖譜，其濃度變化可作為油脂酸敗程度的指標。另外，亦成功追蹤由所建立之指紋圖譜中所發現隱性毒性物質的可能來源。

In our daily life, edible oil is one of the most essential substances that we can’t live without, which nutrition is important for human absorbing. Recently, food safety issues related to edible oils have come out one after the other. Among them, oil adulteration plays the most serious part and directly affects our health, which causes consumers’ panic and trepidation. All of the occurence of these events clearly tells that the government did not pay good attention to food safety inspection.
In this study, we apply Ultraviolet-visible spectroscopy and HS-SPME (Headspace-Solid Phase Microextraction) combined with GC-MS to obtain spectrum and volatile organic compounds fingerprints to execute interpretation and identification of edible oils. Spectrophotometric analysis involves determination of wavelength from 190nm to 400nm. Peak area of chromatogram is selected greater than 0.1%.
We establish spectrum and mass fingerprints of all different kinds of edible oils and find out some similar trends and unique marker volatile compounds in them. Combining with statistical software analysis, we successfully built an identifying system of edible oils. In addition, we observe the concentration variation of multiple components as freshness indicator of edible oils and figure out the possible recessive toxic substance source that is detected in some edible oils.

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