Abstract：
Lead pollution has remained a significant global concern for several decades due to its detrimental effects on the brain, heart, kidneys, lungs, and immune system across all age groups. Addressing the demand for detecting trace amounts of lead in food samples, we have developed a novel biosensor based on fluorescence resonance energy transfer (FRET) from fluorescein R6G to gold nanoclusters (AuNCs-CCY). By utilizing polypeptides as a template, we successfully synthesized AuNCs-CCY with an excitation spectrum that overlaps with the emission spectrum of R6G. Exploiting the fact that Pb2+ induces the aggregation of gold nanoclusters, leading to the separation of R6G from AuNCs-CCY and subsequent fluorescence recovery, we achieved the quantitative detection of Pb2+. Within the concentration range of 0.002-0.20 μM, a linear relationship was observed between the fluorescence enhancement value (F-F0) and Pb2+ concentration, characterized by the linear equation y = 2398.69x + 87.87 (R2 = 0.996). The limit of detection (LOD) for Pb2+ was determined to be 0.00079 μM (3σ/K). The recovery rate ranged from 96 % to 104 %, with a relative standard deviation (RSD) below 10 %. These findings demonstrate the potential application value of our biosensor, which offers a promising approach to address the urgent need for sensitive detection of heavy metal ions, specifically Pb2+, in food samples.
摘要：
由于铅污染对大脑的有害影响，几十年来一直是全球关注的焦点。心,肾脏，肺,和所有年龄组的免疫系统。解决检测食品样本中痕量铅的需求，我们已经开发了一种基于荧光共振能量转移（FRET）从荧光素R6G到金纳米簇（AuNCs-CCY）的新型生物传感器。通过利用多肽作为模板，我们成功合成了AuNCs-CCY，其激发光谱与R6G的发射光谱重叠。利用Pb2+诱导金纳米簇聚集的事实，导致R6G与AuNC-CCY的分离以及随后的荧光恢复，实现了Pb2+的定量检测。在0.002-0.20μM的浓度范围内，荧光增强值(F-F0)与Pb2+浓度呈线性关系,线性方程y=2398.69x+87.87(R2=0.996)。测定Pb2+的检测限(LOD)为0.00079μM(3σ/K)。回收率从96%到104%,相对标准偏差(RSD)低于10%。这些发现证明了我们的生物传感器的潜在应用价值，这提供了一种有希望的方法来解决对重金属离子的灵敏检测的迫切需要，特别是Pb2+，在食物样本中。
