Carbon dot-graphene oxide-based luminescent nanosensor for creatinine detection in human urine

IF 5.3 2区化学 Q1 CHEMISTRY, ANALYTICAL Microchimica Acta Pub Date : 2024-11-16 DOI:10.1007/s00604-024-06838-8

Poornima Bhatt, Deepak Kukkar, Ashok Kumar Yadav

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Abstract

A fluorescence (FL)-based nanosensor has been devised for creatinine (CR) detection in human urine specimens. The proposed nanosensor utilized a nanocomposite (NC) of carbon dots (CDs) and graphene oxide (GO). The formation of CDs/GO NC reduced the CD FL emission (λ_excitation = 390 nm, λ_emission = 461 nm) by ~ 75%. With the introduction of CR to the NC, the CD emission intensity was reinstated by approximately 70%. The linear detection range for CR was 10⁻⁵ to 0.1 mg dL⁻¹ (R² = 0.998), with a limit of detection of 4.3 × 10⁻² mg dL⁻¹. Additionally, CDs/GO NC exhibited outstanding consistency and specificity in recognizing CR within urine specimens from both healthy individuals and patients suffering from chronic kidney disease (CKD). The Bland–Altman assessment (utilizing 25 human urine specimens) displayed remarkable consensus (R² = 0.995) among the FL approach and the benchmark Jaffe technique. This observation indicates the hands-on usefulness of the nanosensor for identifying CR in biological specimens.

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基于碳点-氧化石墨烯的发光纳米传感器用于检测人体尿液中的肌酐。

我们设计了一种基于荧光 (FL) 的纳米传感器，用于检测人体尿液标本中的肌酐 (CR)。拟议的纳米传感器采用了碳点（CD）和氧化石墨烯（GO）的纳米复合材料（NC）。CDs/GO NC 的形成将 CD FL 发射（λ激发 = 390 nm，λ发射 = 461 nm）降低了约 75%。在 NC 中引入 CR 后，CD 发射强度恢复了约 70%。CR 的线性检测范围为 10-5 至 0.1 mg dL-1（R2 = 0.998），检测限为 4.3 × 10-2 mg dL-1。此外，CDs/GO NC 在识别健康人和慢性肾病（CKD）患者尿液标本中的 CR 方面表现出卓越的一致性和特异性。布兰-阿尔特曼评估（利用 25 份人体尿液标本）显示，FL 方法与基准 Jaffe 技术之间具有显著的一致性（R2 = 0.995）。这一观察结果表明，纳米传感器在生物标本中识别 CR 方面具有实用性。

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来源期刊

Microchimica Acta 化学-分析化学

CiteScore

9.80

自引率

5.30%

发文量

410

审稿时长

2.7 months

期刊介绍： As a peer-reviewed journal for analytical sciences and technologies on the micro- and nanoscale, Microchimica Acta has established itself as a premier forum for truly novel approaches in chemical and biochemical analysis. Coverage includes methods and devices that provide expedient solutions to the most contemporary demands in this area. Examples are point-of-care technologies, wearable (bio)sensors, in-vivo-monitoring, micro/nanomotors and materials based on synthetic biology as well as biomedical imaging and targeting.