食品科学

• 安全检测 • 上一篇    下一篇

糙米中黄曲霉毒素B1的ATR-FTIR快速测定

沈 飞1,吴启芳1,唐培安1,邵小龙1,姜大峰2   

  1. 1.南京财经大学食品科学与工程学院,江苏省现代粮食流通与安全协同创新中心,江苏高校粮油质量安全控制及深加工重点
    实验室,江苏 南京 210023;2.山东省疾病预防控制中心,山东 济南 250014
  • 出版日期:2016-06-25 发布日期:2016-06-29
  • 基金资助:

    国家自然科学基金青年科学基金项目(31301482);江苏省青年自然科学基金项目(BK20131007);
    江苏省高校自然科学研究项目(13KJB550009);江苏高校优势学科建设工程资助项目

Attenuated Total Reflectance-Fourier Transform Infrared Spectroscopy (ATR-FTIR) for Rapid Detection of Aflatoxin B1 in Brown Rice

SHEN Fei1, WU Qifang1, TANG Pei’an1, SHAO Xiaolong1, JIANG Dafeng2   

  1. 1. Collaborative Innovation Center for Modern Grain Circulation and Safety, Key Laboratory of Grains and Oils Quality Control and
    Processing, College of Food Science and Engineering, Nanjing University of Finance and Economics, Nanjing 210023, China;
    2. Shandong Center for Disease Control and Prevention, Jinan 250014, China
  • Online:2016-06-25 Published:2016-06-29

摘要:

拟建立基于衰减全反射-傅里叶变换红外光谱(attenuated total reflectance-Fourier transform infraredspectroscopy,ATR-FTIR)的糙米中微量黄曲霉毒素B1(aflatoxin B1,AFB1)的快速检测方法。首先将16 份糙米样品经辐射灭菌后接种产毒菌株并在适宜条件下(28 ℃、相对湿度85%)贮藏30 d,测定其AFB1含量。其次将受AFB1污染样品磨粉后与空白糙米样品按质量比例进行精确混合,获得AFB1含量在0~890.20 μg/kg内的糙米样品共计128 份。ATR-FTIR建模分析结果显示,依据AFB1含量高低将样品划分为4 类,临近算法判别分析模型的预测整体正确率达到83.3%。运用偏最小二乘回归分析建立的定量模型精度最优,预测相关系数、均方根误差和相对分析误差值分别为0.970、70.8 μg/kg和4.0。结果表明,ATR-FTIR技术用于糙米黄曲霉毒素污染程度的快速分析与筛选具有一定可行性,但需进一步研究来提升对低AFB1含量样品的预测精度。

关键词: 衰减全反射-傅里叶变换红外光谱, 糙米, 黄曲霉毒素B1(AFB1), 快速检测

Abstract:

The objective of this work was to establish a rapid method for aflatoxin B1 detection in brown rice by attenuated
total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR). A set of 16 brown rice samples were sterilized with
radiation, incubated after inoculation with toxigenic strains and stored under appropriate conditions (28 ℃ and 85% RH)
for 30 days, and the concentrations of AFB1 were determined. Then the samples contaminated by AFB1 were blended with
blank samples in various weight proportions. A total of 128 samples with concentrations ranging from 0 to 890.20 μg/kg
were obtained. The ATR-FTIR calibration results indicated that a classification accuracy of 83.3% was obtained by K
nearest neighbors (KNN) when the samples were divided into four groups according to AFB1 concentration. Quantitative
analysis model was built by partial least square regression (PLSR), which showed the best performance in predication, and
the regression coefficient of validation (rv), root mean square error of prediction (RMSEP) as well as RPD value, which
were 0.970, 70.8 μg/kg and 4.0, respectively. Overall, ATR-FTIR offers a feasible method for rapid screening of brown rice
samples contaminated by AFB1. However, further study is needed to improve the prediction power for samples with low
AFB1 concentrations.

Key words: attenuated total reflectance-Fourier transform infrared spectroscopy (ATR-FTIR), brown rice, aflatoxin B1 (AFB1), rapid detection

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