Rapid Fingerprinting of Urinary Volatile Metabolites and Point-of-Care Diagnosis of Phenylketonuria on a Patterned Nanorod Sensor Array with Multiplexed Surface-Enhanced Raman Scattering Readouts

IF 6.7 1区 化学 Q1 CHEMISTRY, ANALYTICAL
Zheng Li, Xiaohui Lu, Zhiyang Zhang, Shuoyang Yan, Yunli Yang
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Abstract

Phenylketonuria (PKU) is one of the most common genetic metabolic diseases, especially among newborns. Traditional clinical examination of newborn blood samples for PKU is invasive, laborious, and limited to hospitals and healthcare facilities. We reported herein a SERS-based sensor array with three thiophenolic nanoreceptors built on a patterned nanorod vertical array for rapid and inexpensive detection of characteristic volatile biomarkers indicative of PKU in the urine and accurate classification of newborn baby patients all performed on a hand-held SERS spectrophotometer. The well-ordered array was generated from the volatility-driven assembly of gold nanorods (AuNRs) into an upright and closely packed hexagonal configuration. The uniformly distributed nanowells between AuNRs offered an intense and aspect-ratio-dependent plasmonic field for the molecular enhancement of SERS outputs. The SERS-based detector was integrated into a test chip for regular monitoring of volatile phenylketone bodies in the spiked solution or patients’ urine within 5 min, allowing the quantification of a wide variety of normal or abnormal metabolites at their physiologically relevant concentration range. The detection limits for common biomarkers of PKU, including phenylpyruvic acid, 4-hydroxyphenylacetic acid, and phenylacetic acid, were at a few μM and well below the diagnostic thresholds. Moreover, the volatile headspace mixtures from a given urine sample could be fingerprinted by the sensor array and discriminated using machine-learning algorithms. Ultimately, the discrimination of baby patients among 26 cases of mild and classic PKU phenotypes and 17 cases of healthy volunteers could be realized with an overall accuracy of 97%. This hand-held SERS platform plays a pivotal role in advancing healthcare applications in quick screening of neonatal PKU through a facile urinary vapor test.

Abstract Image

利用多路复用表面增强拉曼散射读数的图案化纳米棒传感器阵列实现尿液挥发性代谢物的快速指纹识别和苯丙酮尿症的床旁诊断
苯丙酮尿症(PKU)是最常见的遗传代谢疾病之一,尤其是在新生儿中。传统的新生儿血液样本 PKU 临床检查具有创伤性、费力,而且仅限于医院和医疗机构。我们在此报告了一种基于 SERS 的传感器阵列,该阵列在图案化纳米棒垂直阵列上构建了三个噻吩酚类纳米感受器,可快速、廉价地检测尿液中指示 PKU 的特征挥发性生物标记物,并对新生儿患者进行准确分类,所有这些操作均可在手持式 SERS 分光光度计上完成。金纳米棒(AuNRs)在挥发性的驱动下组装成直立且紧密排列的六角形结构,从而产生了井然有序的阵列。AuNRs 之间均匀分布的纳米孔为 SERS 输出的分子增强提供了一个高强度且与纵横比相关的等离子场。将基于 SERS 的检测器集成到测试芯片中,可在 5 分钟内定期监测加标溶液或患者尿液中的挥发性苯基酮体,从而在生理相关浓度范围内定量检测各种正常或异常代谢物。PKU 常见生物标志物(包括苯丙酮酸、4-羟基苯乙酸和苯乙酸)的检测限为几微米,远低于诊断阈值。此外,传感器阵列还能对特定尿样的顶空挥发性混合物进行指纹识别,并利用机器学习算法进行判别。最终,在 26 例轻度和典型 PKU 表型患者和 17 例健康志愿者中,婴儿患者的鉴别准确率达到了 97%。这种手持式 SERS 平台在通过简便的尿液蒸气测试快速筛查新生儿 PKU 的医疗应用中发挥了关键作用。
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来源期刊
Analytical Chemistry
Analytical Chemistry 化学-分析化学
CiteScore
12.10
自引率
12.20%
发文量
1949
审稿时长
1.4 months
期刊介绍: Analytical Chemistry, a peer-reviewed research journal, focuses on disseminating new and original knowledge across all branches of analytical chemistry. Fundamental articles may explore general principles of chemical measurement science and need not directly address existing or potential analytical methodology. They can be entirely theoretical or report experimental results. Contributions may cover various phases of analytical operations, including sampling, bioanalysis, electrochemistry, mass spectrometry, microscale and nanoscale systems, environmental analysis, separations, spectroscopy, chemical reactions and selectivity, instrumentation, imaging, surface analysis, and data processing. Papers discussing known analytical methods should present a significant, original application of the method, a notable improvement, or results on an important analyte.
文献相关原料
公司名称
产品信息
麦克林
4-Mercaptobenzoic acid (4-MBA)
麦克林
4-Aminothiophenol (4-ATP)
麦克林
Ethanol
麦克林
Silver nitrate (AgNO3)
麦克林
Sodium chloride (NaCl)
麦克林
Potassium sulfate (K2SO4)
阿拉丁
Phenylacetic acid
阿拉丁
4-Hydroxyphenylacetic acid
阿拉丁
Phenylpyruvic acid
阿拉丁
Phenylalanine (Phe)
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