Research Center for Analytical Sciences, Department of Chemistry, College of Sciences, Northeastern University, Box 332, Shenyang, 110819, China.
Mikrochim Acta. 2019 Jul 6;186(8):513. doi: 10.1007/s00604-019-3602-7.
A colorimetric array is described for the sensitive discrimination of proteins and microorganisms. Carbon dots (CDs) were prepared from citric acid and one of the amino acids glycine, lysine, serine or aspartic acid. They act as stabilizers for gold nanoparticles (AuNPs). The interactions between target protein and the CD/AuNPs induce a different aggregation behavior. This provides the basis for colorimetric discrimination of protein species and results in color changes from red/purple to purple/blue. Specific response patterns are analyzed by linear discriminant analysis. Twelve kinds of proteins with different pI and molecular weight were visually discriminated at nanomolar concentration levels. Alternatively, discrimination can be performed by measurement of the ration of absorbance at 525 nm and 620 nm. The discrimination sensitivity is as low as 2 nM. The method can differentiate between BSA and HSA. Twelve proteins were successfully distinguished in (spiked) urine samples. The discrimination accuracy is 100% at the 500 nM protein concentration level. In addition, different strains of microorganisms (E. coli O157:H7, E.coli ER2738, P. aeruginosa CICC10204; P. aeruginosa CICC21954; B.subtilis CICC10071; B.subtilis CICC10275) can be discriminated successfully via this array. Graphical abstract A CD/AuNPs-based colorimetric array sensor is proposed for the discrimination of protein, offering a discrimination sensitivity low down to 2 nM. The accurate differentiations of microorganisms originated from same species are achieved.
一种用于灵敏区分蛋白质和微生物的比色阵列被描述。碳点(CDs)由柠檬酸和一种氨基酸甘氨酸、赖氨酸、丝氨酸或天冬氨酸制备。它们作为金纳米粒子(AuNPs)的稳定剂。目标蛋白与 CD/AuNPs 之间的相互作用导致不同的聚集行为。这为蛋白质种类的比色区分提供了基础,并导致颜色从红色/紫色变为紫色/蓝色。通过线性判别分析分析特定的响应模式。在纳摩尔浓度水平下,12 种具有不同等电点和分子量的蛋白质可以通过肉眼区分。或者,可以通过测量 525nm 和 620nm 处吸光度的比值来进行区分。区分灵敏度低至 2nm。该方法可以区分 BSA 和 HSA。在(加标)尿液样本中成功区分了 12 种蛋白质。在 500nm 蛋白质浓度水平下,区分准确率为 100%。此外,通过该阵列可以成功区分不同来源的微生物(E. coli O157:H7、E.coli ER2738、P. aeruginosa CICC10204、P. aeruginosa CICC21954、B.subtilis CICC10071、B.subtilis CICC10275)。