智能手机技术在生物传感器领域是当前有利的趋势之一，因为利用智能手机可以更方便和快速地进行疾病的诊断。另一方面，检测循环肿瘤细胞 (CTCs) 是近期癌症早期诊断的一种方法。本文介绍了一种新的智能手机辅助实验室管路装置，利用基于金纳米簇 (GNCs) 的翁抑素传感器，检测MUC1过度表达的肿瘤细胞株。具体地，商业聚氨酯泡沫首先被氧化石墨烯 (GO) 涂层以增加其表面积（达到8.45倍）和提高其润湿性，然后将表面改性为MUC1翁抑素-GNCs，通过一种开关式检测系统提供所需的灵敏度和特异性。该传感器首先通过分光光度法进行优化，随后通过实验室管路系统的红色强度评价发现，在250-20,000细胞/mL的范围内检测MUC1过度表达的肿瘤细胞株的能力很高，检测限为221细胞/mL。此外，开发的生物传感器相对于阴性对照细胞株（HEK293和L929），表现出了良好的选择性和针对阳性对照细胞株（MCF-7和HT-29），具有良好的一致性，与光谱仪器等参考方法的结果相吻合。最终，本研究的成果为点-of-care检测领域提供了新的视角，并可以在未来的生物传感器中得到考虑。版权所有©2023 Elsevier B.V.。

Developing smartphone technology for point-of-care diagnosis is one of the current favorable trends in the field of biosensors. In fact, using smartphones can provide better accessibility and facility for rapid diagnosis of diseases. On the other hand, the detection of circulating tumor cells (CTCs) is one of the recent methods for the early diagnosis of cancer. Here, a new smartphone-assisted lab-in-a-tube device is introduced for the detection of Mucin 1 (MUC1) overexpressed tumor-derived cell lines using gold nanoclusters (GNCs)-based aptasensor. Accordingly, commercial polyurethane (PU) foam was first coated with graphene oxide (GO) to increase its surface area (8.45-fold), and improve its wettability. The surface of the resulting three-dimensional PU-GO (3DPU-GO) platform was then modified by MUC1 aptamer-GNCs to provide the required sensitivity and specificity through a turn "on/off" detection system. The proposed biosensor was first optimized with a spectrophotometer method. Afterward, findings were evaluated based on the red color intensity of the lab-in-a-tube system; and indicated the high ability of the biosensor for detection of MUC1-overexpressed tumor cell lines in the range of 250-20,000 cells mL-1 with a limit of detection of 221 cells mL-1. In addition, the developed biosensor showed a decent selectivity against positive-control cell lines (MCF-7, and HT-29) in comparison to negative-control cell lines (HEK293, and L929). Notably, the results represented good accordance with reference methods including spectroscopy devices. Ultimately, the results of this work bring a new perspective to the field of point-of-care detection and can be considered in future biosensors.Copyright © 2023 Elsevier B.V. All rights reserved.