Department of Chemistry, Capital Normal University, Beijing, 100048, China.
College of Chemical and Environmental Engineering, Shandong University of Science and Technology, Qingdao, 266590, China.
Anal Chim Acta. 2019 Mar 21;1051:147-152. doi: 10.1016/j.aca.2018.11.019. Epub 2018 Nov 12.
In medicine, the detection and identification of biothiols have received increasing attention due to their crucial roles in life activities. Hence, we present a facile, rapid, and effective method for identification of five kinds of biothiols including glutathione (GSH), l-cysteine (Cys), dithiothreitol (DTT), 2-mercaptoethanol (MCE), and 3-mercaptopropionic acid (MPA). The proposed sensor array is fabricated based on single-stranded poly (thymine/cytosine)-templated fluorescent copper nanoparticles (CuNPs), which are controlled through thymine-Hg-thymine (T-Hg-T) and cytosine-Ag-cytosine (CAgC) coordination. The results show that single-stranded poly T and poly C are used as a highly efficient template, and ascorbic acid acts as a reductant to form CuNPs. Owing to the different thiol binding affinity between Hg (pK = 3.90) and Ag (pK = 5.50), the sensor array produces a unique pattern of fluorescence variations when it interacts with the five biothiols. Linear discriminant analysis (LDA) is applied to analyze the fluorescence pattern and generated a clustering map for a clear identification of the five biothiols. By employing this "turn-on" sensor array, five thiols were successfully discirminated at the 50 nM level in buffer solution and serum samples.
在医学领域,由于生物硫醇在生命活动中的关键作用,它们的检测和鉴定受到了越来越多的关注。因此,我们提出了一种简便、快速、有效的方法来鉴定包括谷胱甘肽(GSH)、半胱氨酸(Cys)、二硫苏糖醇(DTT)、2-巯基乙醇(MCE)和 3-巯基丙酸(MPA)在内的五种生物硫醇。所提出的传感器阵列是基于单链聚(胸腺嘧啶/胞嘧啶)模板荧光铜纳米粒子(CuNPs)构建的,该纳米粒子通过胸腺嘧啶-Hg-胸腺嘧啶(T-Hg-T)和胞嘧啶-Ag-胞嘧啶(CAgC)配位进行控制。结果表明,单链聚 T 和聚 C 被用作高效模板,抗坏血酸作为还原剂形成 CuNPs。由于 Hg(pK = 3.90)和 Ag(pK = 5.50)之间的巯基结合亲和力不同,当传感器阵列与五种生物硫醇相互作用时,会产生独特的荧光变化模式。线性判别分析(LDA)用于分析荧光模式,并生成聚类图,以清楚地区分五种生物硫醇。通过使用这种“开启”传感器阵列,在缓冲溶液和血清样本中成功地在 50 nM 水平下区分了五种硫醇。