Multicolorimetric Sensor Array Based on Silver Metallization of Gold Nanorods for Discriminating Dopaminergic Agents.

IF 4.1 3区 医学 Q2 BIOCHEMISTRY & MOLECULAR BIOLOGY
ACS Chemical Neuroscience Pub Date : 2024-10-02 Epub Date: 2024-08-19 DOI:10.1021/acschemneuro.4c00420
Reza Koohsar, Afsaneh Orouji, Mohammad Reza Hormozi-Nezhad
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引用次数: 0

Abstract

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.

Abstract Image

基于银金属化金纳米棒的多色度传感器阵列,用于鉴别多巴胺能药物。
多巴胺能药物是一种化合物,可调节血脑屏障两侧通路中大脑和周围神经中与多巴胺有关的活动。多巴胺能药物的非典型水平可诱发多种神经系统疾病,及时诊断不仅能阻止病情发展,还能战胜疾病。银金属化金纳米棒(AuNRs)条件传感器阵列设计用于检测评估神经系统疾病的多巴胺能药物,在同时检测和区分苄丝肼(Benz)、左旋多巴(L-DOPA)和卡比多巴(Carb)方面取得了显著效果。该阵列由两种不同浓度的银离子作为传感元件(SE)组成,在 Au@Ag 核壳形成不一致时,会产生独特的信号,表明存在还原性目标分析物,从而形成视觉和指纹比色模式。产生不同的响应是阵列式传感功能的关键,这有助于实现光谱和颜色的变化,而光谱和颜色的变化源于消光光谱中 AuNRs 纵向局部表面等离子体共振(LLSPR)的蓝移。此外,利用智能手机摄像头还能在广泛的浓度范围内进行清晰的视觉分辨。通过线性判别分析(LDA)进行模式识别,以及通过偏最小二乘回归(PLSR)进行量化,突出了该传感器强大的判别精度,肯定了其在实际应用中的潜力。值得注意的是,该阵列在检测不同浓度的目标分析物时表现出极高的灵敏度,甚至在商用药物样品中也不例外。传感器的响应与 Benz、L-DOPA 和 Carb 的浓度呈线性相关,范围分别为 1.59 至 100.0、5.26 至 100.0 和 5.32 至 100.0 μmol L-1,Benz、L-DOPA 和 Carb 的最低检测浓度分别为 0.53、1.75 和 1.77 μmol L-1。这种基于机器学习的阵列传感器代表了多巴胺能药剂追踪和肉眼检测技术的进步。
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来源期刊
ACS Chemical Neuroscience
ACS Chemical Neuroscience BIOCHEMISTRY & MOLECULAR BIOLOGY-CHEMISTRY, MEDICINAL
CiteScore
9.20
自引率
4.00%
发文量
323
审稿时长
1 months
期刊介绍: ACS Chemical Neuroscience publishes high-quality research articles and reviews that showcase chemical, quantitative biological, biophysical and bioengineering approaches to the understanding of the nervous system and to the development of new treatments for neurological disorders. Research in the journal focuses on aspects of chemical neurobiology and bio-neurochemistry such as the following: Neurotransmitters and receptors Neuropharmaceuticals and therapeutics Neural development—Plasticity, and degeneration Chemical, physical, and computational methods in neuroscience Neuronal diseases—basis, detection, and treatment Mechanism of aging, learning, memory and behavior Pain and sensory processing Neurotoxins Neuroscience-inspired bioengineering Development of methods in chemical neurobiology Neuroimaging agents and technologies Animal models for central nervous system diseases Behavioral research
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