Liu Shuang, Yan Peng, Naveed Shahzad, Zhu Yuheng, Fu Tao, Wu Ruijing, Wu Yayan
Key Laboratory of Biomedical Information Engineering of Ministry of Education, School of Life Science and Technology, Xi'an Jiaotong University, Xi'an, 710049, China.
School of Health and Life Sciences, Qingdao Central Hospital, University of Health and Rehabilitation Sciences, Qingdao, 266113, China.
Mikrochim Acta. 2024 Dec 2;192(1):2. doi: 10.1007/s00604-024-06855-7.
A colorimetric sensor array is proposed for ultrasensitive detection and identification of bacteria by using Cl at various concentrations as sensing elements and triangular silver nanoparticles (T-AgNPs) as a single sensing nanoprobe. T-AgNPs are easily etched by Cl. However, in the presence of bacteria, the etching process will be hindered. Different bacteria have differential protective effects on T-AgNPs due to their interactions, resulting in different etching degrees of T-AgNPs by Cl, and visual color changes. By adjusting the antagonistic action between bacteria protection on T-AgNPs and the etching by using Cl at various concentrations, different bacteria had their own color response patterns. Combined with linear discriminant analysis (LDA) and orthogonal partial least squares-discriminant analysis (OPLS-DA), the bacteria could be identified. The method was also used for bacteria mixtures identification and showed high sensitivity (OD = 1.0 × 10) for V. parahaemolyticus detection. Finally, the sensor array was successfully utilized in the identification of bacteria in pure and mineral bottled water. The method is low-cost, simple, sensitive, visual, and has potential application in point-of-care testing of bacteria.
提出了一种比色传感器阵列,用于通过使用不同浓度的Cl作为传感元件以及三角形银纳米颗粒(T-AgNPs)作为单一传感纳米探针来超灵敏地检测和鉴定细菌。T-AgNPs很容易被Cl蚀刻。然而,在有细菌存在的情况下,蚀刻过程会受到阻碍。由于不同细菌与T-AgNPs的相互作用不同,它们对T-AgNPs具有不同的保护作用,导致Cl对T-AgNPs的蚀刻程度不同,从而产生视觉颜色变化。通过调节细菌对T-AgNPs的保护作用与使用不同浓度的Cl进行蚀刻之间的拮抗作用,不同细菌具有各自的颜色响应模式。结合线性判别分析(LDA)和正交偏最小二乘判别分析(OPLS-DA),可以鉴定细菌。该方法还用于细菌混合物的鉴定,对副溶血性弧菌检测显示出高灵敏度(OD = 1.0×10)。最后,该传感器阵列成功用于纯水中和矿泉水中细菌的鉴定。该方法成本低、操作简单、灵敏、可视化,在细菌即时检测中具有潜在应用价值。