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  5. 應用近紅外線光譜法檢測白米中黃麴毒素之研究
 
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應用近紅外線光譜法檢測白米中黃麴毒素之研究

Other Title
Applicability of Near Infrared Spectroscopy for Aflatoxin Detection of Rice
Type
thesis
Date Issued
2018-06-27
Author(s)
董怡君
Advisor
莊永坤
Subjects
系所名稱:食品安全碩士學位學程
Description
學位別:碩士
語文別:中文
指導教授:莊永坤
口試委員:陳世銘;施純光
中文關鍵字:白米;黃麴毒素;近紅外光;化學計量學
英文關鍵字:rice;aflatoxin;near infrared spectroscopy;chemometrics
Abstract
本研究之目的為應用波長範圍介於400至2498 nm之近紅外光譜(near infrared spectroscopy, NIR),開發快速檢測白米中黃麴毒素(aflatoxin)之方法。國際癌症研究機構(International Agency for Research on Cancer, IARC )已於2002年將黃麴毒素列為一級致癌物,確定對人體具有致癌性。臺灣位於亞熱帶,高溫高濕的環境有利於黴菌之生長,所以如何快速且準確的檢驗出白米中的黃麴毒素含量,為本研究之重點。由人工汙染的白米樣品利用FOSS NIRS 6500型分光光度計所測得的光譜值和化學分析方法──液相層析串聯式質譜儀(LC-MS/MS)所得的數據,透過支援向量機(support vector machine, SVM)和多重線性迴歸(multiple linear regression, MLR)分別來建立定性和定量的校正模型,定性分析部分,分別對有無遭受汙染和不同汙染濃度進行判別,預測正確率分別為88.89 %和87.5 %。定量分析部分,黃麴毒素濃度35 ppb以上之樣品數為36個,檢量線之判定係數(RSQ)為0.74,標準預測誤差(standard error of prediction, SEP )為13.552 ppb;黃麴毒素濃度35 ppb以下之樣品數為35個,檢量線之判定係數為0.92,標準預測誤差(SEP)為3.533 ppb,由分析結果推論黃麴毒素以35 ppb為界,呈現非線性關係。本研究證實近紅外光譜法結合化學計量學可以快速且準確檢測白米中的黃麴毒素。
URI
https://203.71.86.71/handle/123456789/58163

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