Microfluidic Devices for Automated Remote Analytics
Kannan Deepa
Microfluidic devices are finding widespread applications in automated remote analytics due to their rapid and precise handling of small volumes of fluids at microscale dimensions. These compact systems integrate sample preparation, chemical or biological analysis, and data transmission, enabling real-time monitoring in remote, on site, and resource-limited environments. Their advantages include low reagent consumption, fast response times, portability, and compatibility with wireless technologies. Microfluidic devices are used in healthcare diagnostics, environmental monitoring, and food safety sensing, to name a few. Recent advancements in microfabrication, biosensor integration, and Artificial Intelligence-assisted data interpretation have significantly enhanced the performance and reliability of these systems. By minimizing the need for manual intervention and centralized laboratories, microfluidic platforms facilitate decentralized analysis and continuous monitoring, making them a promising solution for various field-deployable analytical tasks.
Keywords
Microfluidics, Microchannels, Lab-on-a-chip, Sensors, Point-of-Care Diagnostics, Environmental Sensors
Published online 6/15/2026, 15 pages
Citation: Kannan Deepa, Microfluidic Devices for Automated Remote Analytics, Materials Research Foundations, Vol. 191, pp 396-410, 2026
DOI: https://doi.org/10.21741/9781644904213-13
Part of the book on Microfluidics
References
[1] B. Alhalaili, I. N. Popescu, C.O. Rusanescu, R. Vidu, Microfluidic devices and microfluidics-integrated electrochemical and optical (bio)sensors for pollution analysis: A review, Sustain. 14 (2022) 12844. https://doi.org/10.3390/su141912844
[2] C. Sonnichsen, D. Atamanchuk, A. Hendricks, S. Morgan, J. Smith, I. Grundke, E. Luy, V. J. Sieben, An automated microfluidic analyzer for in situ monitoring of total alkalinity, ACS Sensors 8 (2023) 344-352. https://doi.org/10.1021/acssensors.2c02343
[3] S. Apoorva, N. T. Nguyen, K. R. Sreejith, Recent developments and future perspectives of microfluidics and smart technologies in wearable devices, Lab Chip 24 (2024) 1833-1866. https://doi.org/10.1039/D4LC00089G
[4] J. R. Mejía-Salazar, K. R. Cruz, E.M.M. Vásques, O. N. de Oliveira, Microfluidic point-of-care devices: New trends and future prospects for ehealth diagnostics, Sensors 20 (2020) 1951. https://doi.org/10.3390/s20071951
[5] J. Zheng, T. Cole, Y. Zhang, J. Kim, S.Y. Tang, Exploiting machine learning for bestowing intelligence to microfluidics, Biosens. Bioelectron. 194 (2021) 113666. https://doi.org/10.1016/j.bios.2021.113666
[6] R. Natu, L. Herbertson, G. Sena, K. Strachan, S. Guha, A systematic analysis of recent technology trends of microfluidic medical devices in the United States, Micromachines 14 (2023) 1293. https://doi.org/10.3390/mi14071293
[7] P.P. Behera, N. Kumar, M. Kumari, S. Kumar, P. K. Mondal, R. K. Arun, Integrated microfluidic devices for point-of-care detection of bio-analytes and disease, Sensors and Diagnostics 2 (2023) 1437-1459. https://doi.org/10.1039/D3SD00170A
[8] Y. Zhu, X. Meng, Y. Chen, J. Li, H. Shao, Y. Lu, L. Pan, Y. Xu, J. Cheng, Self-served and fully automated biochemical detection of finger-prick blood at home using a portable microfluidic analyzer, Sensors Actuators, B Chem. 303 (2020) 127235. https://doi.org/10.1016/j.snb.2019.127235
[9] H. Jeon, D.H. Lee, B. Jundi, M. Pinilla-Vera, R.M. Baron, B.D. Levy, J. Voldman, J. Han, Fully automated, sample-to-answer leukocyte functional assessment platform for continuous sepsis monitoring via microliters of blood, ACS Sensors 6 (2021) 2747-2756. https://doi.org/10.1021/acssensors.1c00887
[10] W. Yu, H. Lin, Y. Wang, X. He, N. Chen, K. Sun, D. Lo, B. Cheng, C. Yeung, J. Tan, D. Di Carlo, S. Emaminejad, A ferrobotic system for automated microfluidic logistics, Sci. Robot. 5 (2020) 1-12. https://doi.org/10.1126/scirobotics.aba4411
[11] J. Peng, C. Chan, S. Zhang, A.A. Sklavounos, M.E. Olson, E.Y. Scott, Y. Hu, V. Rajesh, B.B. Li, M.D. Chamberlain, S. Zhang, H. Peng, A.R. Wheeler, All-in-one digital microfluidics pipeline for proteomic sample preparation and analysis, Chem. Sci. 14 (2023) 2887-2900. https://doi.org/10.1039/D3SC00560G
[12] W. Al-Faqheri, F. Ibrahim, T.H.G. Thio, M.M. Aeinehvand, H. Arof, M. Madou, Development of novel passive check valves for the microfluidic CD platform, Sensors Actuators, A Phys. 222 (2015) 245-254. https://doi.org/10.1016/j.sna.2014.12.018
[13] S. Smith, D. Mager, A. Perebikovsky, E. Shamloo, D. Kinahan, R. Mishra, S.M. Torres Delgado, H. Kido, S. Saha, J. Ducrée, M. Madou, K. Land, J.G. Korvink, CD-based microfluidics for primary care in extreme point-of-care settings, 7 (2016) 22. https://doi.org/10.3390/mi7020022
[14] H.J. Woo, S.H. Kim, H.J. Kang, S.H. Lee, S.J. Lee, J.M. Kim, O. Gurel, S.Y. Kim, H.R. Roh, J. Lee, Y. Park, H.Y. Shin, Y. Il Shin, S.M. Lee, S.Y. Oh, Y.Z. Kim, J. Il Chae, S. Lee, M.H. Hong, B.C. Cho, E.S. Lee, K. Pantel, H.R. Kim, M.S. Kim, Continuous centrifugal microfluidics (CCM) isolates heterogeneous circulating tumor cells via full automation, Theranostics 12 (2022) 3676-3689. https://doi.org/10.7150/thno.72511
[15] J.N. Klatt, I. Schwarz, T. Hutzenlaub, R. Zengerle, F. Schwemmer, D. Kosse, J. Vincent, M. Scaer, K. Franaszczuk, D. Wadsworth, N. Paust, Miniaturization, parallelization, and automation of endotoxin detection by centrifugal microfluidics, Anal. Chem. 93 (2021) 8508-8516. https://doi.org/10.1021/acs.analchem.1c01041
[16] M. Cóndor, T. Rüberg, C. Borau, J. Piles, J.M. García-Aznar, A web-based application for automated quantification of chemical gradients induced in microfluidic devices, Comput. Biol. Med. 95 (2018) 118-128. https://doi.org/10.1016/j.compbiomed.2018.02.001
[17] P. Aryal, C. Hefner, B. Martinez, C.S. Henry, Microfluidics in environmental analysis: advancements, challenges, and future prospects for rapid and efficient monitoring, Lab Chip 24 (2024) 1175-1206. https://doi.org/10.1039/D3LC00871A
[18] S. Dudala, S.K. Dubey, S. Goel, Fully integrated, automated, and smartphone enabled point-of-source portable platform with microfluidic device for nitrite detection, IEEE Trans. Biomed. Circuits Syst. 13 (2019) 1518-1524. https://doi.org/10.1109/TBCAS.2019.2939658
[19] R. Pol, F. Céspedes, D. Gabriel, M. Baeza, Fully integrated screen-printed sulfide-selective sensor on a 3D-printed potentiometric microfluidic platform, Sensors Actuators, B Chem. 290 (2019) 364-370. https://doi.org/10.1016/j.snb.2019.03.132
[20] Nuriman, B. Kuswandi, W. Verboom, Optical fiber chemical sensing of Hg(II) ions in aqueous samples using a microfluidic device containing a selective tripodal chromoionophore-PVC film, Sensors Actuators, B Chem. 157 (2011) 438-443. https://doi.org/10.1016/j.snb.2011.04.084
[21] F.E. Legiret, V.J. Sieben, E.M.S. Woodward, S.K. Abi Kaed Bey, M.C. Mowlem, D.P. Connelly, E.P. Achterberg, A high performance microfluidic analyser for phosphate measurements in marine waters using the vanadomolybdate method, Talanta 116 (2013) 382-387. https://doi.org/10.1016/j.talanta.2013.05.004
[22] P. Giménez-Gómez, A. Baldi, C. Ayora, C. Fernández-Sánchez, Automated determination of As(III) in waters with an electrochemical sensor integrated into a modular microfluidic system, ACS Sensors 4 (2019) 3156-3165. https://doi.org/10.1021/acssensors.9b01286
[23] J.A. Hondred, Z.T. Johnson, J.C. Claussen, Nanoporous gold peel-and-stick biosensors created with etching inkjet maskless lithography for electrochemical pesticide monitoring with microfluidics, J. Mater. Chem. C 8 (2020) 11376-11388. https://doi.org/10.1039/D0TC01423K
[24] N. Sethu, P. Premchandra, S.B. Kolhe, M.B. Kulkarni, R. Vyas, An integrated microfluidic device driven by an automated system for precise detection of antibiotics in water, Sensors Actuators A Phys. 388 (2025) 116474. https://doi.org/10.1016/j.sna.2025.116474
[25] H. Gao, C. Yan, W. Wu, J. Li, Application of microfluidic chip technology in food safety sensing, Sensors 20 (2020) 1792. https://doi.org/10.3390/s20061792
[26] G.E. De-La-Torre, Microplastics: an emerging threat to food security and human health, J. Food Sci. Technol. 57 (2020) 1601-1608. https://doi.org/10.1007/s13197-019-04138-1
[27] L. Guo, J. Feng, Z. Fang, J. Xu, X. Lu, Application of microfluidic “lab-on-a-chip” for the detection of mycotoxins in foods, Trends Food Sci. Technol. 46 (2015) 252-263. https://doi.org/10.1016/j.tifs.2015.09.005
[28] X. Han, Y. Liu, J. Yin, M. Yue, Y. Mu, Microfluidic devices for multiplexed detection of foodborne pathogens, Food Res. Int. 143 (2021) 110246. https://doi.org/10.1016/j.foodres.2021.110246
[29] Y. Man, M. Ban, A. Li, X. Jin, Y. Du, L. Pan, A microfluidic colorimetric biosensor for in-field detection of Salmonella in fresh-cut vegetables using thiolated polystyrene microspheres, hose-based microvalve and smartphone imaging APP, Food Chem. 354 (2021) 129578. https://doi.org/10.1016/j.foodchem.2021.129578
[30] S. Wang, L. Zheng, G. Cai, N. Liu, M. Liao, Y. Li, X. Zhang, J. Lin, A microfluidic biosensor for online and sensitive detection of Salmonella typhimurium using fluorescence labeling and smartphone video processing, Biosens. Bioelectron. 140 (2019) 111333. https://doi.org/10.1016/j.bios.2019.111333
[31] C.S. Carrell, R.M. Wydallis, M. Bontha, K.E. Boehle, J.R. Beveridge, B.J. Geiss, C.S. Henry, Rotary manifold for automating a paper-based: Salmonella immunoassay, RSC Adv. 9 (2019) 29078-29086. https://doi.org/10.1039/C9RA07106G
[32] L. Ma, M. Petersen, Identification and antimicrobial susceptibility testing of campylobacter using a microfluidic lab-on-a-chip device, Appl. Environ. Microbiol. 86 (2020) 1-15. https://doi.org/10.1128/AEM.00096-20
[33] Y. Jiang, Z. Qiu, T. Le, S. Zou, X. Cao, Developing a dual-RCA microfluidic platform for sensitive E. coli O157:H7 whole-cell detections, Anal. Chim. Acta 1127 (2020) 79-88. https://doi.org/10.1016/j.aca.2020.06.046
[34] S. Lin, W.L.J. Hasi, X. Lin, S.Q.G.W. Han, X.T. Lou, F. Yang, D.Y. Lin, Z.W. Lu, Rapid and sensitive SERS method for determination of Rhodamine B in chili powder with paper-based substrates, Anal. Methods 7 (2015) 5289-5294. https://doi.org/10.1039/C5AY00028A
[35] C. Chen, L. Zhao, H. Zhang, X. Shen, Y. Zhu, H. Chen, Novel wax valves to improve distance-based analyte detection in paper microfluidics, Anal. Chem. 91 (2019) 5169-5175. https://doi.org/10.1021/acs.analchem.8b05764
[36] G. Antonelli, J. Filippi, M. D’Orazio, G. Curci, P. Casti, A. Mencattini, E. Martinelli, Integrating machine learning and biosensors in microfluidic devices: A review, Biosens. Bioelectron. 263 (2024) 116632. https://doi.org/10.1016/j.bios.2024.116632
[37] A.E. Ongaro, Z. Ndlovu, E. Sollier, C. Otieno, P. Ondoa, A. Street, M. Kersaudy-Kerhoas, Engineering a sustainable future for point-of-care diagnostics and single-use microfluidic devices, Lab Chip 22 (2022) 3122-3137. https://doi.org/10.1039/D2LC00380E
[38] C.M. Raju, D.P. Elpa, P.L. Urban, Automation and computerization of (bio)sensing Systems, ACS Sensors 9 (2024) 1033-1048. https://doi.org/10.1021/acssensors.3c01887
[39] D. McIntyre, A. Lashkaripour, P. Fordyce, D. Densmore, Machine learning for microfluidic design and control, Lab Chip 22 (2022) 2925-2937. https://doi.org/10.1039/D2LC00254J
[40] Pal, S.K. Dubey, S. Goel, IoT enabled microfluidic colorimetric detection platform for continuous monitoring of nitrite and phosphate in soil, Comput. Electron. Agric. 195 (2022) 106856. https://doi.org/10.1016/j.compag.2022.106856
[41] L.B. Baker, J.B. Model, K.A. Barnes, M.L. Anderson, S.P. Lee, K.A. Lee, S.D. Brown, A.J. Reimel, T.J. Roberts, R.P. Nuccio, J.L. Bonsignore, C.T. Ungaro, J.M. Carter, W. Li, M.S. Seib, J.T. Reeder, A.J. Aranyosi, J.A. Rogers, R. Ghaffari, Skin-interfaced microfluidic system with personalized sweating rate and sweat chloride analytics for sports science applications, Sci. Adv. 6 (2020) 17-19. https://doi.org/10.1126/sciadv.abe3929
[42] L.B. Baker, M.S. Seib, K.A. Barnes, S.D. Brown, M.A. King, P.J.D. De Chavez, S. Qu, J. Archer, A.S. Wolfe, J.R. Stofan, J.M. Carter, D.E. Wright, J. Wallace, D.S. Yang, S. Liu, J. Anderson, T. Fort, W. Li, J.A. Wright, S.P. Lee, J.B. Model, J.A. Rogers, A.J. Aranyosi, R. Ghaffari, Skin-interfaced microfluidic system with machine learning-enabled image processing of sweat biomarkers in remote settings, Adv. Mater. Technol. 7 (2022) 2200249. https://doi.org/10.1002/admt.202200249
[43] R.M. Camarillo-Escobedo, J.L. Flores-Nuñez, G. Garcia-Torales, E. Hernandez-Campos, J.M. Camarillo-Escobedo, 3D printed opto-microfluidic autonomous analyzer for photometric applications, Sensors Actuators A Phys. 337 (2022) 113425. https://doi.org/10.1016/j.sna.2022.113425
[44] T. Xia, Y.Q. Fu, N. Jin, P. Chazot, P. Angelov, R. Jiang, AI-enabled microscopic blood analysis for microfluidic COVID-19 hematology, Proc. – 2020 5th Int. Conf. Comput. Intell. Appl. ICCIA 2020 (2020) 98-102. https://doi.org/10.1109/ICCIA49625.2020.00026
[45] J. Zheng, T. Cole, Y. Zhang, N. Bayinqiaoge, D. Yuan, S.Y. Tang, An automated and intelligent microfluidic platform for microalgae detection and monitoring, Lab Chip 24 (2023) 244-253. https://doi.org/10.1039/D3LC00851G
[46] S. Krishnan, A. Giwa, Advances in real-time water quality monitoring using triboelectric nanosensors, J. Mater. Chem. A 13 (2025) 11134-11158. https://doi.org/10.1039/D4TA08871A
[47] N. Sultana, S. Gunning, S.J. Furst, K.P. Garrard, T.A. Dow, N.R. Vinueza, Direct analysis of textile dyes from trace fibers by automated microfluidics extraction system coupled with Q-TOF mass spectrometer for forensic applications, Forensic Sci. Int. 289 (2018) 67-74. https://doi.org/10.1016/j.forsciint.2018.05.020
[48] S. Lee, A.J. Aranyosi, M.D. Wong, J.H. Hong, J. Lowe, C. Chan, D. Garlock, S. Shaw, P.D. Beattie, Z. Kratochvil, N. Kubasti, K. Seagers, R. Ghaffari, C.D. Swanson, Flexible opto-electronics enabled microfluidics systems with cloud connectivity for point-of-care micronutrient analysis, Biosens. Bioelectron. 78 (2016) 290-299. https://doi.org/10.1016/j.bios.2015.11.060
[49] R.C. Lagoy, D.R. Albrecht, Automated fluid delivery from multiwell plates to microfluidic devices for high-throughput experiments and microscopy, Sci. Rep. 8 (2018) 6217. https://doi.org/10.1038/s41598-018-24504-x
