智能手机比色分析在生物标志物检测中的应用
Application of Smartphone-Based Colorimetric Analysis in Biomarker Detection
DOI: 10.12677/acm.2025.152554, PDF,    科研立项经费支持
作者: 白 刚*：成都中医药大学医学与生命科学学院，四川 成都；余 华#：成都中医药大学附属医院普外科，四川 成都
关键词: 智能手机；比色分析；生物标志物；检测；Smartphone； Colorimetric Analysis； Biomarker； Detection
摘要: 智能手机比色分析是一种新兴的检测技术，结合了智能手机的便携性与比色分析的高灵敏度和低成本优势，在生物标志物检测中展现出重要应用价值。生物标志物广泛用于疾病的诊断、治疗效果评估及预后监测。近年来，研究表明，智能手机辅助比色分析技术能够实现多种生物标志物的快速、精准检测，尤其在资源有限地区和即时检测中具有独特优势。本文系统综述了智能手机比色分析技术在各种生物标志物检测中的最新研究进展，并探讨了其在医学诊断中的未来发展方向以及可能面临的挑战与解决策略。
Abstract: Smartphone-based colorimetric analysis is an emerging detection technology that combines the portability of smartphones with the high sensitivity and low-cost advantages of colorimetric analysis, demonstrating significant application value in biomarker detection. Biomarkers are widely used in disease diagnosis, therapeutic efficacy evaluation, and prognostic monitoring. Recent studies have shown that smartphone-assisted colorimetric analysis enables rapid and accurate detection of various biomarkers, offering unique advantages particularly in resource-limited settings and point-of-care testing. This paper systematically reviews the latest research progress of smartphone-based colorimetric analysis technology in the detection of various biomarkers, explores its future development directions in medical diagnostics, and discusses potential challenges and corresponding solutions.
文章引用：白刚, 余华. 智能手机比色分析在生物标志物检测中的应用[J]. 临床医学进展, 2025, 15(2): 1942-1951. https://doi.org/10.12677/acm.2025.152554

参考文献

[1] Zhou, Y., Tao, L., Qiu, J., Xu, J., Yang, X., Zhang, Y., et al. (2024) Tumor Biomarkers for Diagnosis, Prognosis and Targeted Therapy. Signal Transduction and Targeted Therapy, 9, Article No. 132. [Google Scholar] [CrossRef] [PubMed]
[2] Nair, M., Sandhu, S.S. and Sharma, A.K. (2018) Cancer Molecular Markers: A Guide to Cancer Detection and Management. Seminars in Cancer Biology, 52, 39-55. [Google Scholar] [CrossRef] [PubMed]
[3] Miyamura, S., Oe, R., Nakahara, T., Koresawa, H., Okada, S., Taue, S., et al. (2023) Rapid, High-Sensitivity Detection of Biomolecules Using Dual-Comb Biosensing. Scientific Reports, 13, Article No. 14541. [Google Scholar] [CrossRef] [PubMed]
[4] Swanson, D.M., Pearson, J.M. and Evans-Nguyen, T. (2021) Comparing ELISA and LC-MS-MS: A Simple, Targeted Postmortem Blood Screen. Journal of Analytical Toxicology, 46, 797-802. [Google Scholar] [CrossRef] [PubMed]
[5] Hosseini, S., Vázquez-Villegas, P., Rito-Palomares, M. and Martinez-Chapa, S.O. (2017) Advantages, Disadvantages and Modifications of Conventional Elisa. In: Springer Briefs in Applied Sciences and Technology, Springer, 67-115. [Google Scholar] [CrossRef] 
[6] Jin, Z., Yim, W., Retout, M., Housel, E., Zhong, W., Zhou, J., et al. (2024) Colorimetric Sensing for Translational Applications: From Colorants to Mechanisms. Chemical Society Reviews, 53, 7681-7741. [Google Scholar] [CrossRef] [PubMed]
[7] Pinheiro, T., Marques, A.C., Carvalho, P., Martins, R. and Fortunato, E. (2021) Paper Microfluidics and Tailored Gold Nanoparticles for Nonenzymatic, Colorimetric Multiplex Biomarker Detection. ACS Applied Materials & Interfaces, 13, 3576-3590. [Google Scholar] [CrossRef] [PubMed]
[8] Mazur, F., Han, Z., Tjandra, A.D. and Chandrawati, R. (2024) Digitalization of Colorimetric Sensor Technologies for Food Safety. Advanced Materials, 36, Article 240274. [Google Scholar] [CrossRef] [PubMed]
[9] Balbach, S., Jiang, N., Moreddu, R., Dong, X., Kurz, W., Wang, C., et al. (2021) Smartphone-Based Colorimetric Detection System for Portable Health Tracking. Analytical Methods, 13, 4361-4369. [Google Scholar] [CrossRef] [PubMed]
[10] Meng, R., Yu, Z., Fu, Q., Fan, Y., Fu, L., Ding, Z., et al. (2024) Smartphone-Based Colorimetric Detection Platform Using Color Correction Algorithms to Reduce External Interference. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy, 316, Article 124350. [Google Scholar] [CrossRef] [PubMed]
[11] Celikbas, E., Ceylan, A.E. and Timur, S. (2020) Paper-Based Colorimetric Spot Test Utilizing Smartphone Sensing for Detection of Biomarkers. Talanta, 208, Article 120446. [Google Scholar] [CrossRef] [PubMed]
[12] Krishnan, T., Wang, H. and Vo-Dinh, T. (2021) Smartphone-Based Device for Colorimetric Detection of Microrna Biomarkers Using Nanoparticle-Based Assay. Sensors, 21, Article 8044. [Google Scholar] [CrossRef] [PubMed]
[13] Park, J. (2024) Smartphone Based Lateral Flow Immunoassay Quantifications. Journal of Immunological Methods, 533, Article 113745. [Google Scholar] [CrossRef] [PubMed]
[14] Ramírez-Coronel, A.A., Alameri, A.A., Altalbawy, F., Sanaan Jabbar, H., Lateef Al-Awsi, G.R., Iswanto, A.H., et al. (2023) Smartphone-Facilitated Mobile Colorimetric Probes for Rapid Monitoring of Chemical Contaminations in Food: Advances and Outlook. Critical Reviews in Analytical Chemistry, 54, 2290-2308. [Google Scholar] [CrossRef] [PubMed]
[15] Cole, K. and Levine, B.S. (2020) Ultraviolet-Visible Spectrophotometry. In: Principles of Forensic Toxicology, Springer International Publishing, 127-134. [Google Scholar] [CrossRef] 
[16] Myers, F.B., Moffatt, B., El Khaja, R., Chatterjee, T., Marwaha, G., McGee, M., et al. (2022) A Robust, Low-Cost Instrument for Real-Time Colorimetric Isothermal Nucleic Acid Amplification. PLOS ONE, 17, e0256789. [Google Scholar] [CrossRef] [PubMed]
[17] Monogarova, O.V., Oskolok, K.V. and Apyari, V.V. (2018) Colorimetry in Chemical Analysis. Journal of Analytical Chemistry, 73, 1076-1084. [Google Scholar] [CrossRef] 
[18] Bao, X., Jiang, S., Wang, Y., Yu, M. and Han, J. (2018) A Remote Computing Based Point-of-Care Colorimetric Detection System with a Smartphone under Complex Ambient Light Conditions. The Analyst, 143, 1387-1395. [Google Scholar] [CrossRef] [PubMed]
[19] Cardozo, J.C., Barbosa Segundo, I.D., de Medeiros Leandro, M.E., Gondim, A.D., Cavalcanti, L.N., dos Santos, E.V., et al. (2024) Decentralized and Cost-Effective Colorimetry Analysis by Smartphone-Based Method Digital Image for Monitoring Electrochemical Elimination of Dye from Water Matrices. Journal of Solid State Electrochemistry, 29, 873-885. [Google Scholar] [CrossRef] 
[20] Ciaccheri, L., Adinolfi, B., Mencaglia, A.A. and Mignani, A.G. (2023) Colorimetry by a Smartphone. In: Lecture Notes in Electrical Engineering, Springer, 88-93. [Google Scholar] [CrossRef] 
[21] Coleman, B., Coarsey, C. and Asghar, W. (2019) Cell Phone Based Colorimetric Analysis for Point-of-Care Settings. The Analyst, 144, 1935-1947. [Google Scholar] [CrossRef] [PubMed]
[22] Feng, J., Jiang, H., Jin, Y., Rong, S., Wang, S., Wang, H., et al. (2023) A Device-Independent Method for the Colorimetric Quantification on Microfluidic Sensors Using a Color Adaptation Algorithm. Microchimica Acta, 190, Article No. 148. [Google Scholar] [CrossRef] [PubMed]
[23] Liu, J., Geng, Q. and Geng, Z. (2024) A Route to the Colorimetric Detection of Alpha-Fetoprotein Based on a Smartphone. Micromachines, 15, Article 1116. [Google Scholar] [CrossRef] [PubMed]
[24] Wang, Y., Gao, W., Feng, B., Shen, H., Chen, X. and Yu, S. (2024) Surface Protein Analysis of Breast Cancer Exosomes Using Visualized Strategy on Centrifugal Disk Chip. International Journal of Biological Macromolecules, 280, Article 135651. [Google Scholar] [CrossRef] [PubMed]
[25] Liu, J., Li, Z., Zhang, J., Wang, G. and Su, X. (2022) A Dual-Signal Fluorometric-Colorimetric Sensing Platform and Visual Detection with a Smartphone for the Determination of Β-Galactosidase Activity Based on Fluorescence Silicon Nanoparticles. Talanta, 240, Article 123165. [Google Scholar] [CrossRef] [PubMed]
[26] Liu, P., Sun, Q., Gai, Z., Yang, F. and Yang, Y. (2024) Dual-Mode Fluorescence and Colorimetric Smartphone-Based Sensing Platform with Oxidation-Induced Self-Assembled Nanoflowers for Sarcosine Detection. Analytica Chimica Acta, 1306, Article 342586. [Google Scholar] [CrossRef] [PubMed]
[27] Liu, X., Fang, Y., Liu, J., Chen, X., Teng, F. and Li, C. (2024) Nanozyme-Based Pump-Free Microfluidic Chip for Colorectal Cancer Diagnosis via Circulating Cancer Stem Cell Detection. ACS Sensors, 9, 5090-5098. [Google Scholar] [CrossRef] [PubMed]
[28] Mojumdar, A., B S, U. and Packirisamy, G. (2024) A Simple and Effective Method for Smartphone-Based Detection of Polyamines in Oral Cancer. Biomedical Materials, 19, Article 045044. [Google Scholar] [CrossRef] [PubMed]
[29] Liu, H., Tian, Y., Xue, C., Niu, Q., Chen, C. and Yan, X. (2022) Analysis of Extracellular Vesicle DNA at the Single-Vesicle Level by Nano-Flow Cytometry. Journal of Extracellular Vesicles, 11, e12206. [Google Scholar] [CrossRef] [PubMed]
[30] Odiwuor, N., Li, J., He, P., Wang, N., Murtaza, A., Jiang, M., et al. (2025) Facilitating Self-Testing with a Fast, Accurate, and Simplified Shelf-Stable Colorimetric LAMP System for Mpox and Sars-Cov-2 Detection. Talanta, 283, Article 127119. [Google Scholar] [CrossRef] [PubMed]
[31] Li, Q., Li, J., Yang, D., Xiang, C. and Yang, Y. (2025) Dual-Mode Colorimetric-Fluorescence Biosensor for Endotoxin Detection Based on Cs@Fe,Cu/CDs-MnO2 Nanomaterials. Talanta, 285, Article 127330. [Google Scholar] [CrossRef] [PubMed]
[32] Zhou, X., Wu, H., Chen, X., Li, W., Zhang, J., Wang, M., et al. (2024) Glucose-Metabolism-Triggered Colorimetric Sensor Array for Point-of-Care Differentiation and Antibiotic Susceptibility Testing of Bacteria. Food Chemistry, 438, Article 137983. [Google Scholar] [CrossRef] [PubMed]
[33] Duan, H., Qi, W., Wang, S., Zheng, L., Yuan, J. and Lin, J. (2022) Sample-in-Answer-out Colorimetric Detection of Salmonella Typhimurium Using Non-Enzymatic Cascade Amplification. Analytica Chimica Acta, 1218, Article 339850. [Google Scholar] [CrossRef] [PubMed]
[34] Celik, C., Demir, N.Y., Duman, M., Ildiz, N. and Ocsoy, I. (2023) Red Cabbage Extract-Mediated Colorimetric Sensor for Swift, Sensitive and Economic Detection of Urease-Positive Bacteria by Naked Eye and Smartphone Platform. Scientific Reports, 13, Article No. 2056. [Google Scholar] [CrossRef] [PubMed]
[35] Deng, R., Chao, X., Li, H., Li, X., Yang, Z. and Yu, H. (2023) Smartphone-Based Microplate Reader for High-Throughput Quantitation of Disease Markers in Serum. The Analyst, 148, 735-741. [Google Scholar] [CrossRef] [PubMed]
[36] Yeasmin, S., Ammanath, G., Ali, Y., Boehm, B.O., Yildiz, U.H., Palaniappan, A., et al. (2020) Colorimetric Urinalysis for On-Site Detection of Metabolic Biomarkers. ACS Applied Materials & Interfaces, 12, 31270-31281. [Google Scholar] [CrossRef] [PubMed]
[37] Cai, Z., Jiang, M., Chuang, Y. and Kuo, J. (2024) Paper-Based Microfluidic Analytical Device Patterned by Label Printer for Point-of-Care Blood Glucose and Hematocrit Detection Using 3D-Printed Smartphone Cassette. Sensors, 24, Article 4792. [Google Scholar] [CrossRef] [PubMed]
[38] Flaucher, M., Nissen, M., Jaeger, K.M., Titzmann, A., Pontones, C., Huebner, H., et al. (2022) Smartphone-Based Colorimetric Analysis of Urine Test Strips for At-Home Prenatal Care. IEEE Journal of Translational Engineering in Health and Medicine, 10, 1-9. [Google Scholar] [CrossRef] [PubMed]
[39] Li, S., Chen, Z., Yang, F. and Yue, W. (2023) Self-Template Sacrifice and in Situ Oxidation of a Constructed Hollow MnO2 Nanozymes for Smartphone-Assisted Colorimetric Detection of Liver Function Biomarkers. Analytica Chimica Acta, 1278, Article 341744. [Google Scholar] [CrossRef] [PubMed]
[40] Ulloa-Gomez, A.M., Agredo, A., Lucas, A., Somvanshi, S.B. and Stanciu, L. (2023) Smartphone-Based Colorimetric Detection of Cardiac Troponin T via Label-Free Aptasensing. Biosensors and Bioelectronics, 222, Article 114938. [Google Scholar] [CrossRef] [PubMed]
[41] Yuan, K., Sun, Y., Liang, F., Pan, F., Hu, M., Hua, F., et al. (2022) Tyndall-Effect-Based Colorimetric Assay with Colloidal Silver Nanoparticles for Quantitative Point-of-Care Detection of Creatinine Using a Laser Pointer Pen and a Smartphone. RSC Advances, 12, 23379-23386. [Google Scholar] [CrossRef] [PubMed]
[42] Chen, M., Yang, Y., Chen, Q., Tang, L., Liu, J., Sun, Y., et al. (2024) Pt, p-Codoped Carbon Nitride Nanoenzymes for Fluorescence and Colorimetric Dual-Mode Detection of Cholesterol. Analytica Chimica Acta, 1297, Article 342351. [Google Scholar] [CrossRef] [PubMed]
[43] Chunta, S., Jarujamrus, P., Prakobkij, A., Khongwichit, S., Ditcharoen, N., Pencharee, S., et al. (2024) Point-of-Care Blood Tests Using a Smartphone-Based Colorimetric Analyzer for Health Check-Up. Microchimica Acta, 191, Article No. 402. [Google Scholar] [CrossRef] [PubMed]
[44] Azizi, N., Hallaj, T. and Samadi, N. (2021) A Turn Off-On Fluorometric and Paper-Based Colorimetric Dual-Mode Sensor for Isoniazid Detection. Luminescence, 37, 153-160. [Google Scholar] [CrossRef] [PubMed]
[45] Abd el-Aziz, M.O., Nadim, A.H., Monir, H.H., Nebsen, M. and Younis, S.E. (2023) Smartphone Based Colorimetric Point-of-Care Sensor for Abused Drugs: Case of Baclofen Determination in Urine. BMC Chemistry, 17, Article No. 179. [Google Scholar] [CrossRef] [PubMed]
[46] Tan, P., Chen, Y., Chang, H., Liu, T., Wang, J., Lu, Z., et al. (2024) Deep Learning Assisted Logic Gates for Real-Time Identification of Natural Tetracycline Antibiotics. Food Chemistry, 454, Article 139705. [Google Scholar] [CrossRef] [PubMed]
[47] Woodburn, E.V., Long, K.D. and Cunningham, B.T. (2019) Analysis of Paper-Based Colorimetric Assays with a Smartphone Spectrometer. IEEE Sensors Journal, 19, 508-514. [Google Scholar] [CrossRef] [PubMed]
[48] Mutlu, A.Y., Kılıç, V., Özdemir, G.K., Bayram, A., Horzum, N. and Solmaz, M.E. (2017) Smartphone-Based Colorimetric Detection via Machine Learning. The Analyst, 142, 2434-2441. [Google Scholar] [CrossRef] [PubMed]

为你推荐