Impregnation of dye-conjugated miniaturized system on paper strip for detection of biomarker in renal cancer

IF 1.6 4区工程技术 Q3 INSTRUMENTS & INSTRUMENTATION

Sensor Review Pub Date : 2022-10-05 DOI:10.1108/sr-02-2022-0055

Anjali Takke, P. Shende

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引用次数: 0

Abstract

Purpose The purpose of this study was to design a paper strip-based non-invasive urine analysis system for the qualitative detection of biomarker aquaporin-1 (AQP1) in renal cancer (RC). RC accounts for 3% of all cancers and 85% of all kidney tumors and mainly originates from the kidney cortex. In recent times, higher urine concentration of AQP1 in patients with RC was confirmed as a specific biomarker of the disease. Hence, the noninvasive, user-friendly and self-diagnostic method is required for the detection of aquaporin biomarkers in RC. Design/methodology/approach The present research work was focused on the development and characterization of a dye conjugated cyclodextrin-based miniaturized system for impregnation on Whatman filter paper to identify RC using AQP1 biomarker present in urine samples. Findings It was observed that the test strip dipped into the urine sample, and the yellow color intensity increased with a decrease in AQP1 concentration due to the transformation of the dye system of free basic form into bound acidic form. The Hue-Saturation-Value profiling was used to observe the effect of color change using a smartphone application. The paper strip-based urine analysis system is highly sensitive for the detection of AQP1 in the range of 10 to 1,000 ng. Originality/value The successful validation indicated that this biosensor is likely to contribute to the development of point-of-care, novel, personalized diagnostics and ensure prolonged survival of RC patients in the near future.

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用于肾癌生物标志物检测的染料共轭微型纸条浸渍系统

目的设计一种基于试纸条的无创尿液分析系统，用于癌症（RC）生物标志物水通道蛋白-1（AQP1）的定性检测。RC占所有癌症的3%，占所有肾脏肿瘤的85%，主要来源于肾皮质。近年来，RC患者尿液中AQP1浓度较高被证实是该疾病的一个特定生物标志物。因此，在RC中检测水通道蛋白生物标志物需要一种非侵入性、用户友好和自我诊断的方法。设计/方法/方法本研究工作的重点是开发和表征一种基于染料偶联环糊精的微型系统，用于在Whatman滤纸上浸渍，以使用尿液样本中存在的AQP1生物标志物来识别RC。结果观察到，试纸条浸入尿液样本中，由于游离碱性形式的染料系统转变为结合酸性形式，黄色强度随着AQP1浓度的降低而增加。使用智能手机应用程序使用色调饱和度值分析来观察颜色变化的影响。基于试纸条的尿液分析系统对10至1000范围内的AQP1检测高度敏感 ng.独创性/价值成功验证表明，该生物传感器可能有助于开发护理点、新型个性化诊断，并确保RC患者在不久的将来延长生存期。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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来源期刊

Sensor Review 工程技术-仪器仪表

CiteScore

3.40

自引率

6.20%

发文量

审稿时长

3.7 months

期刊介绍： Sensor Review publishes peer reviewed state-of-the-art articles and specially commissioned technology reviews. Each issue of this multidisciplinary journal includes high quality original content covering all aspects of sensors and their applications, and reflecting the most interesting and strategically important research and development activities from around the world. Because of this, readers can stay at the very forefront of high technology sensor developments. Emphasis is placed on detailed independent regular and review articles identifying the full range of sensors currently available for specific applications, as well as highlighting those areas of technology showing great potential for the future. The journal encourages authors to consider the practical and social implications of their articles. All articles undergo a rigorous double-blind peer review process which involves an initial assessment of suitability of an article for the journal followed by sending it to, at least two reviewers in the field if deemed suitable. Sensor Review’s coverage includes, but is not restricted to: Mechanical sensors – position, displacement, proximity, velocity, acceleration, vibration, force, torque, pressure, and flow sensors Electric and magnetic sensors – resistance, inductive, capacitive, piezoelectric, eddy-current, electromagnetic, photoelectric, and thermoelectric sensors Temperature sensors, infrared sensors, humidity sensors Optical, electro-optical and fibre-optic sensors and systems, photonic sensors Biosensors, wearable and implantable sensors and systems, immunosensors Gas and chemical sensors and systems, polymer sensors Acoustic and ultrasonic sensors Haptic sensors and devices Smart and intelligent sensors and systems Nanosensors, NEMS, MEMS, and BioMEMS Quantum sensors Sensor systems: sensor data fusion, signals, processing and interfacing, signal conditioning.