Application of electronic tongue technology in detection and evaluation of low-sodium formulation
-
摘要: 研究电子舌技术在低钠盐配方检测评价中的应用。利用伏安型电子舌对样品溶液进行数据采集,通过小波变换去除信号噪声;基于主成分分析和聚类分析对样品溶液进行分析评价;基于偏最小二乘法建立低钠盐配方的咸味得分预测模型。结果表明:小波变换能去除高频噪声,保留信号的有用成分;主成分分析和聚类分析能对样品进行区分分类,正确反映样品的亲疏关系;采用偏最小二乘法建立的咸味预测模型,建模集和预测集的RMSE分别为3.18%、1.75%,预测效果很好。研究结果为低钠盐配方品质评价提供了一种快速的检测方法。Abstract: The use of electronic tongue technology in detation and evaluation of low-sodium formuation was investigated in this study.The data of the sample solution was acquired by Voltammetric electronic tongue.The signal noise was removed by wavelet transform, and the sample solution was analyzed and evaluated by principal component analysis and clustering analysis, the low-sodium salt formulation score prediction model was established based on partial least squares.The results showed that wavelet transform can remove high frequency noise and save useful component of the signal, principal component analysis and cluster analysis can distinguish and classify the samples and correctly reflect the affinities of the sample, the RMSE of modeling sets and prediction set of salty prediction model based on partial least squares were 3.18% and 1.75%, the result of forecast was good.The research results provided a rapid detection method to evaluate the quality of low-sodium salt formulation.
-
[1] 徐维盛, 王竹, 杨月欣.电子舌技术快速辨识15种茶汤滋味[J].食品工业, 2014, 35 (12) :154-158. [2] Men H, Zhang C, Ning K, et al.Detection of edible oils based on voltammetric electronic tongue[J].Research Journal of Applied Sciences, Engineering and Technology, 2013, 5 (4) :1197-1202.
[3] Buratti S, Ballabio D, Giovanelli G, et al.Monitoring of alcoholic fermentation using nearinfrared and mid infrared spectroscopes combined with electronic noseandelectronic tongue[J].Analyticachimicaacta, 2011, 697 (2) :67-74.
[4] 张浩玉, 张柯, 黄星奕.电子舌对不同品种醋的辨别研究[J].中国调味品, 2011, 36 (5) :1-4. [5] 王梦馨, 薄晓培, 韩善捷, 等.不同防冻措施茶园茶汤滋味差异的电子舌检测[J].农业工程学报, 2016, 32 (16) :300-306. [6] 贾洪锋, 邓红, 何江红, 等.电子舌在食品检测中的应用研究进展[J].中国调味品, 2013, 38 (8) :12-17. [7] 李华, 柳云雷, 韩冰, 等.天气雷达回波信号去噪中小波分析应用[J].气象科技, 2015, 43 (2) :196-201. [8] 章浙涛, 朱建军, 匡翠林, 等.小波包多阈值去噪法及其在形变分析中的应用[J].测绘学报, 2014, 43 (1) :13-20. [9] 彭显刚, 赖家文, 陈奕.基于聚类分析的客户用电模式智能识别方法[J].电力系统保护与控制, 2014, 42 (19) :68-73. [10] 高新华, 严正.基于主成分聚类分析的智能电网建设综合评价[J].电网技术, 2013, 37 (8) :2238-2243. [11] 曾九孙, 刘祥官, 罗世华, 等.主成分回归和偏最小二乘法在高炉冶炼中的应用[J].浙江大学学报 (理学版) , 2009, 36 (1) :33-36. [12] 王昶, 黄驰超, 余光辉, 等.近红外光谱结合偏最小二乘法快速评估土壤质量[J].土壤学报, 2013, 50 (5) :881-890. [13] 李肃义, 林君, 阳贵红, 等.电性源时域地空电磁数据小波去噪方法研究[J].地球物理学报, 2013, 56 (9) :3145-3152. [14] 公丽艳, 孟宪军, 刘乃侨, 等.基于主成分与聚类分析的苹果加工品质评价[J].农业工程学报, 2014, 30 (13) :276-285. [15] 曾华金, 梁会丽, 游静, 等.偏最小二乘法结合流动注射化学发光法同时测定芦丁和维生素C[J].发光学报, 2013, 34 (3) :369-374.
计量
- 文章访问数: 149
- HTML全文浏览量: 21
- PDF下载量: 176
下载:
