多巴胺能药物是调节血脑屏障两侧途径内脑和外周神经中多巴胺相关活性的化合物。它们的非典型水平可以导致多种神经系统疾病,其及时诊断不仅意味着停止疾病的发展,而且意味着克服它。一种银金属化金纳米棒(AuNRs)条件传感器阵列,旨在检测多巴胺能药物以评估神经系统疾病,在同步检测和鉴别苄丝肼(奔驰)方面产生了显著的结果,左旋多巴(L-DOPA),和卡比多巴(Carb)。该阵列由两种不同浓度的银离子组成,作为传感器元件(SE),产生了独特的特征,表明存在还原性目标分析物,由Au@Ag核壳的不一致形成引发,造成视觉和指纹比色模式。生成不同的响应是基于阵列的传感功能的关键,这有助于实现源自消光光谱中AuNRs纵向局部表面等离子体共振(LLSPR)的蓝移的光谱和颜色变化。此外,使用智能手机摄像头可以在广泛的集中范围内实现清晰的视觉辨别。通过线性判别分析(LDA)进行的模式识别强调了该传感器的鲁棒判别精度,通过偏最小二乘回归(PLSR)进行量化,肯定其实际应用的潜力。值得注意的是,该阵列在检测不同浓度的目标分析物方面表现出高灵敏度,甚至在商业药物样本中。传感器响应与奔驰浓度呈线性相关,L-DOPA,和Carb的范围分别为1.59至100.0,5.26至100.0和5.32至100.0μmolL-1,和奔驰的最低可检测浓度,L-DOPA,和Carb分别在0.53、1.75和1.77μmolL-1下测量。实现的机器学习授权的基于阵列的传感器代表了多巴胺能试剂追踪和裸眼检测的进步。
Dopaminergic agents are compounds that modulate dopamine-related activity in the brain and peripheral nerves within the pathways on both sides of the blood-brain barrier. Atypical levels of them can precipitate a multitude of neurological disorders, whose timely diagnosis signifies not only stopping the advancement of the illness but also surmounting it. A silver metallized gold nanorod (AuNRs) conditional sensor array, designed to detect dopaminergic agents for assessing nervous system disorders, yielded significant results in simultaneous detection and discrimination of Benserazide (Benz), Levodopa (L-DOPA), and Carbidopa (Carb). The array was composed of two different concentrations of silver ions as sensor elements (SEs), which generated unique signatures indicative of the presence of reductive target analytes, triggered by the incongruent formation of the Au@Ag core-shell, causing visual and fingerprint colorimetric patterns. Generating diverse responses is the key to the functionality of array-based sensing, which facilitated achieving spectral and color variation originating from the blue shift of AuNRs longitudinal localized surface plasmon resonance (LLSPR) in the extinction spectrum. Also, employing a smartphone camera enables clear visual discrimination across an extensive concentration span. Pattern recognition through linear discriminant analysis (LDA) underscored the robust discrimination accuracies of this sensor, along with quantification by means of partial least-squares regression (PLSR), affirming its potential for practical applications. Notably, the array demonstrated high sensitivity in detecting varied concentrations of target analytes, even in commercial drug samples. The sensor responses exhibited a linear correlation with the concentrations of Benz, L-DOPA, and Carb ranging from 1.59 to 100.0, 5.26 to 100.0, and 5.32 to 100.0 μmol L-1, respectively, and the minimum detectable concentrations for Benz, L-DOPA, and Carb were measured at 0.53, 1.75, and 1.77 μmol L-1, respectively. The implemented machine-learning-empowered array-based sensor represents advancements in dopaminergic agent tracing and naked eye detection.