以卟啉和其衍生物及指示剂为传感元件,构建了一种对氨基酸敏感的可视传感阵列。可视化学传感阵列以交互响应的敏感元件组成阵列,对不同物质产生特异的响应,并通过信号识别处理系统,将检测结果以图谱的方式显示,实现检测的可视化。研究中筛选了对氨基酸敏感的36种化学物质,构建了6×6的传感阵列,使用自主研发的阵列数据采集与处理系统,对10种具有代表性的常见氨基酸进行了检测,氨基酸溶液与阵列的反应时间为5min。对实验检测结果数据采用主成分分析和判别分析进行了计算和分析。实验结果显示,通过阵列响应的可视差图可以将浓度为375μmol/L的10种氨基酸明显区分。判别分析结果显示,本可视阵列对氨基酸识别的准确率达到97%。二维主成分散点图和判别分析散点图对10种氨基酸都有显著分辨效果。本可视传感阵列可用于氨基酸的快速识别。
A colorimetric sensor array was developed for the identification of natural amino acids. Using a cross-responsive array containing a diverse family of chemically responsive dyes,the colorimetric sensor array provides enormous discriminatory power among different analytes. Digital imaging of the dye array before and after immersion provides a color change profile as a unique fingerprint for each specific analyte. The 6×6 array used in this study has 36 dyes that were sensitive to amino acids. A functional portable type apparatus was developed for data acquisition and data processing. Using colorimetric sensor arrays,ten natural amino acids have been analyzed within 5 min. The digital data library generated was analyzed with statistical and chemometric methods,including principal component analysis (PCA) and linear discriminant analysis (LDA). Facile identification of all of the amino acids was readily achieved using comparison of the color change profiles or a PCA score plot. Using LDA analysis the classification accuracy of identification was 97%. These results suggest that colorimetric sensor arrays may be useful for the identification of natural amino acids,also represent a potential application in the field of cell recognition,food quality assurance and microbial identification.