谈国凤, 田师一, 沈宗根, 张根华, 邓少平. 电子舌检测奶粉中抗生素残留[J]. 农业工程学报, 2011, 27(4): 361-365.
    引用本文: 谈国凤, 田师一, 沈宗根, 张根华, 邓少平. 电子舌检测奶粉中抗生素残留[J]. 农业工程学报, 2011, 27(4): 361-365.
    Tan Guofeng, Tian Shiyi, Shen Zonggen, Zhang Genhua, Deng Shaoping. Electronic tongue detection for residual?antibiotic in milk powder[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(4): 361-365.
    Citation: Tan Guofeng, Tian Shiyi, Shen Zonggen, Zhang Genhua, Deng Shaoping. Electronic tongue detection for residual?antibiotic in milk powder[J]. Transactions of the Chinese Society of Agricultural Engineering (Transactions of the CSAE), 2011, 27(4): 361-365.

    电子舌检测奶粉中抗生素残留

    Electronic tongue detection for residual?antibiotic in milk powder

    • 摘要: 为了找到能快速检测乳制品中抗生素残留的方法,该文利用电子舌对奶粉中相同质量浓度的6种抗生素进行了辨识,并对新霉素检测质量浓度进行了初步研究。采用铂、金、钯、钨、钛和银6个电极组成的传感器阵列和1、10和100 Hz 3个脉冲频率进行检测,并通过主成分分析、线性判别分析和偏最小二乘法进行数据分析。结果显示:电子舌对不同种抗生素和不同质量浓度的新霉素具有较好的辨识能力,定性分析能够达到国家最高残留限量标准;利用偏最小二乘法(PLS)建立模型定量分析,新霉素最适检测质量浓度范围在300~1 100 μg/L附近。电子舌依据其独特的优点,为食品掺杂掺假的检测提供了新的思路和方法。

       

      Abstract: To find the rapid method to detect residual?antibiotic in dairy products, discrimination on the same concentration of six kinds of antibiotics in milk powder using smartongue and detection on the concentration of neomycin is researched in this paper. Platinum, gold, palladium, tungsten, titanium and silver electrodes as sensor array were used in this experiment and detected at different frequency of 1 Hz, 10 Hz and 100 Hz. Principal component analysis, linear discriminant analysis and partial least square method were used to analysis the experiment data. The results showed that smartongue could well discriminate different antibiotic and different concentration of neomycin, qualitative analysis result could reach the national maximum residue limit standard basically. A optimal concentration range of neomycin about 300-1?100?μg/L was obtained by quantitive model established by partial least square method. Smartongue provide a new method to detect adulterations in food by its special advantages.

       

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