Abstract
The open array chip is an incredibly valuable tool for analyzing single molecule levels. Its efficiency, speed, compatibility, and precision make it an essential part of this process. However, efficient sample addition has become a significant challenge in the development of open array chips due to the coupling of the solid-liquid interface and the need for high-precision control. To address this challenge, we have developed an integrated adding sample device using technology of generates and detects controllable droplets array based on an open array chip with a biomimetic structure. This device combines a microfluidic chip, image detection, and smear speed regulation. We have studied the factors that affect the efficiency of sample loading, such as the number, speed and fluctuation of smears, and microwell size. The experiments have shown that the open array chip with the microwell’s diameter of 350 µm can generate arrays of ~470/cm2 ~8 nL droplets, significantly reducing controlled speed fluctuation errors by7.24% and volume fluctuation errors by 24% compared to traditional manual ways. The device has also displayed excellent performance on chips with microwell diameters of 120, 350, 700, and 1300 µm, respectively, with a notable first-time success rate of up to 91% on chips with microwell diameters of 120 µm.
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References
Du, G., Fang, Q., den Toonder, J.M.J.: Microfluidics for cell-based high throughput screening platforms—a review. Anal. Chim. Acta 903, 36–50 (2016)
Zhou, W.M., et al.: Microfluidics applications for high-throughput single cell sequencing. J. Nanobiotechnol. 19(1), 312 (2021)
Klein, A.M., et al.: Droplet barcoding for single-cell transcriptomics applied to embryonic stem cells. Cell 161, 1187–1201 (2015)
Cui, X., et al.: A fluorescent microbead-based microfluidic immunoassay chip for immune cell cytokine secretion quantification. Lab Chip 18(3), 522–531 (2018)
Källberg, J., Xiao, W., Van Assche, D., Baret, J., Taly, V.: Frontiers in single cell analysis: multimodal technologies and their clinical perspectives. Lab Chip 22, 243–2422 (2022)
Xu, J.G., Huang, M.S., Wang, H.F., Fang, Q.: Forming a large-scale droplet array in a microcage array chip for high-throughput screening. Anal. Chem. 91(16), 10757–10763 (2019)
Yin, K., et al.: Femtosecond laser thermal accumulation-triggered micro-/nanostructures with patternable and controllable wettability towards liquid manipulating. Nanomicro Lett. 14(1), 97 (2022)
Wu, D., et al.: 3D microfluidic cloth-based analytical devices on a single piece of cloth by one-step laser hydrophilicity modification. Lab Chip 21(24), 4805–4813 (2021)
Rezaei, M., Radfar, P., Winter, M., McClements, L., Thierry, B., Warkiani, M.E.: Simple-to-operate approach for single cell analysis using a hydrophobic surface and nanosized droplets. Anal. Chem. 93(10), 4584–4592 (2021)
Zhou, Y., et al.: Single-cell sorting using integrated pneumatic valve droplet microfluidic chip. Talanta 253, 124044 (2023)
Easley, C.J., et al.: A fully integrated microfluidic genetic analysis system with sample-in-answer-out capability. Proc. Natl. Acad. Sci. U.S.A. 103, 19272–19277 (2006)
Dangla, R., Kayi, S.C., Baroud, C.N.: Droplet microfluidics driven by gradients of confinement. Proc. Natl. Acad. Sci. U.S.A. 110, 853–858 (2013)
He, Y., Lu, Z., Fan, H., Zhang, T.: A photofabricated honeycomb micropillar array for loss-free trapping of microfluidic droplets and application to digital PCR. Lab Chip 21, 3933–3941 (2021)
Lin, H.Y., et al.: Highly efficient self-assembly of metallacages and their supramolecular catalysis behaviors in microdroplets. Angew. Chem. Int. Ed. Engl. 23, e202301900 (2023)
Gao, Y., et al.: An enzyme-loaded metal-organic framework-assisted microfluidic platform enables single-cell metabolite analysis. Angew. Chem. Int. Ed. Engl. 5, e202302000 (2023)
Du, L., Liu, H., Zhou, J.: Picoliter droplet array based on bioinspired microholes for in situ single-cell analysis. Microsyst. Nanoeng. 6, 33 (2020)
Du, L., Riaud, A., Zhou, J.: Smearing observation of picoliter droplets pinning on bio-inspired negative lotus leaf replicas. IEEE Trans. Nanotechnol. 19, 102–106 (2020)
Du, L., Wei, Y., Riaud, A., Zhou, J.: Anti-lotus leaf effect: smearing millions of picoliter droplets on bio-inspired artificial lotus leaf. In: IEEE 19th International Conference on Nanotechnology (IEEE-NANO), Macao, China, pp. 223–226 (2019)
Rong, N., Chen, K., Shao, J., Ouyang, Q., Luo, C.: A 3D scalable chamber-array chip for digital LAMP. Anal. Chem. 95(20), 7830–7838 (2023)
Lin, D., et al.: One-step fabrication of droplet arrays using a biomimetic structural chip. ACS Appl. Mater. Interfaces 15(13), 17413–17420 (2023)
Liu, M., Wang, S., Jiang, L.: Nature-inspired superwettability systems. Nat. Rev. Mater. 2, 17036 (2017)
Ren, W.: Wetting transition on patterned surfaces: transition states and energy barriers. Langmuir 30, 2879–2885 (2014)
Xin, B., Hao, J.: Reversibly switchable wettability. Chem. Soc. Rev. 39, 769–782 (2010)
Xue, Y., Chu, S., Lv, P., Duan, H.: Importance of hierarchical structures in wetting stability on submersed superhydrophobic surfaces. Langmuir 28, 9440–9450 (2012)
Yoshimitsu, Z., Nakajima, A., Watanabe, T., Hashimoto, K.: Effects of surface structure on the hydrophobicity and sliding behavior of water droplets. Langmuir 18, 5818–5822 (2002)
Acknowledgements
This work was supported by the National Science Foundation of China under Grant No. 62104148 and No. 61874033, and the State Key Laboratory of ASIC and Systems, Fudan University under Grant No. 2021KF001 and No. 2021MS001.
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Zhou, Z., Wang, J., Li, Y., Zhou, J., Du, L. (2023). Integrated Device for Controllable Droplet Generation and Detection on Open Array Chip. In: Yang, H., et al. Intelligent Robotics and Applications. ICIRA 2023. Lecture Notes in Computer Science(), vol 14274. Springer, Singapore. https://doi.org/10.1007/978-981-99-6501-4_35
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DOI: https://doi.org/10.1007/978-981-99-6501-4_35
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