IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v13y2022i1d10.1038_s41467-022-34167-y.html
   My bibliography  Save this article

A robot-assisted acoustofluidic end effector

Author

Listed:
  • Jan Durrer

    (ETH Zurich)

  • Prajwal Agrawal

    (ETH Zurich)

  • Ali Ozgul

    (ETH Zurich)

  • Stephan C. F. Neuhauss

    (University of Zurich)

  • Nitesh Nama

    (University of Nebraska-Lincoln)

  • Daniel Ahmed

    (ETH Zurich)

Abstract

Liquid manipulation is the foundation of most laboratory processes. For macroscale liquid handling, both do-it-yourself and commercial robotic systems are available; however, for microscale, reagents are expensive and sample preparation is difficult. Over the last decade, lab-on-a-chip (LOC) systems have come to serve for microscale liquid manipulation; however, lacking automation and multi-functionality. Despite their potential synergies, each has grown separately and no suitable interface yet exists to link macro-level robotics with micro-level LOC or microfluidic devices. Here, we present a robot-assisted acoustofluidic end effector (RAEE) system, comprising a robotic arm and an acoustofluidic end effector, that combines robotics and microfluidic functionalities. We further carried out fluid pumping, particle and zebrafish embryo trapping, and mobile mixing of complex viscous liquids. Finally, we pre-programmed the RAEE to perform automated mixing of viscous liquids in well plates, illustrating its versatility for the automatic execution of chemical processes.

Suggested Citation

  • Jan Durrer & Prajwal Agrawal & Ali Ozgul & Stephan C. F. Neuhauss & Nitesh Nama & Daniel Ahmed, 2022. "A robot-assisted acoustofluidic end effector," Nature Communications, Nature, vol. 13(1), pages 1-13, December.
    • Handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34167-y
    DOI: 10.1038/s41467-022-34167-y
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-022-34167-y
    File Function: Abstract
    Download Restriction: no
    File URL: https://libkey.io/10.1038/s41467-022-34167-y?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    References listed on IDEAS

    as
    1. Quan Zhou & Veikko Sariola & Kourosh Latifi & Ville Liimatainen, 2016. "Controlling the motion of multiple objects on a Chladni plate," Nature Communications, Nature, vol. 7(1), pages 1-10, November.
    2. Chuyi Chen & Yuyang Gu & Julien Philippe & Peiran Zhang & Hunter Bachman & Jinxin Zhang & John Mai & Joseph Rufo & John F. Rawls & Erica E. Davis & Nicholas Katsanis & Tony Jun Huang, 2021. "Acoustofluidic rotational tweezing enables high-speed contactless morphological phenotyping of zebrafish larvae," Nature Communications, Nature, vol. 12(1), pages 1-13, December.
    3. Benjamin Burger & Phillip M. Maffettone & Vladimir V. Gusev & Catherine M. Aitchison & Yang Bai & Xiaoyan Wang & Xiaobo Li & Ben M. Alston & Buyi Li & Rob Clowes & Nicola Rankin & Brandon Harris & Rei, 2020. "A mobile robotic chemist," Nature, Nature, vol. 583(7815), pages 237-241, July.
    4. Cornel Dillinger & Nitesh Nama & Daniel Ahmed, 2021. "Ultrasound-activated ciliary bands for microrobotic systems inspired by starfish," Nature Communications, Nature, vol. 12(1), pages 1-11, December.
    5. Daniel Ahmed & Adem Ozcelik & Nagagireesh Bojanala & Nitesh Nama & Awani Upadhyay & Yuchao Chen & Wendy Hanna-Rose & Tony Jun Huang, 2016. "Rotational manipulation of single cells and organisms using acoustic waves," Nature Communications, Nature, vol. 7(1), pages 1-11, April.
    6. David J. Collins & Belinda Morahan & Jose Garcia-Bustos & Christian Doerig & Magdalena Plebanski & Adrian Neild, 2015. "Two-dimensional single-cell patterning with one cell per well driven by surface acoustic waves," Nature Communications, Nature, vol. 6(1), pages 1-11, December.
    7. Steven Peiran Zhang & James Lata & Chuyi Chen & John Mai & Feng Guo & Zhenhua Tian & Liqiang Ren & Zhangming Mao & Po-Hsun Huang & Peng Li & Shujie Yang & Tony Jun Huang, 2018. "Digital acoustofluidics enables contactless and programmable liquid handling," Nature Communications, Nature, vol. 9(1), pages 1-11, December.
    8. Michael Baudoin & Jean-Louis Thomas & Roudy Al Sahely & Jean-Claude Gerbedoen & Zhixiong Gong & Aude Sivery & Olivier Bou Matar & Nikolay Smagin & Peter Favreau & Alexis Vlandas, 2020. "Spatially selective manipulation of cells with single-beam acoustical tweezers," Nature Communications, Nature, vol. 11(1), pages 1-10, December.
    9. Zhengyi Yang & Katy L. H. Cole & Yongqiang Qiu & Ildikó M. L. Somorjai & Philip Wijesinghe & Jonathan Nylk & Sandy Cochran & Gabriel C. Spalding & David A. Lyons & Kishan Dholakia, 2019. "Light sheet microscopy with acoustic sample confinement," Nature Communications, Nature, vol. 10(1), pages 1-8, December.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Ruoqin Zhang & Xichuan Zhao & Jinzhi Li & Di Zhou & Honglian Guo & Zhi-yuan Li & Feng Li, 2024. "Programmable photoacoustic patterning of microparticles in air," Nature Communications, Nature, vol. 15(1), pages 1-8, December.
    2. Mia Kvåle Løvmo & Shiyu Deng & Simon Moser & Rainer Leitgeb & Wolfgang Drexler & Monika Ritsch-Marte, 2024. "Ultrasound-induced reorientation for multi-angle optical coherence tomography," Nature Communications, Nature, vol. 15(1), pages 1-12, December.
    3. Jakub Janiak & Yuyang Li & Yann Ferry & Alexander A. Doinikov & Daniel Ahmed, 2023. "Acoustic microbubble propulsion, train-like assembly and cargo transport," Nature Communications, Nature, vol. 14(1), pages 1-10, December.
    4. Zhiyuan Zhang & Alexander Sukhov & Jens Harting & Paolo Malgaretti & Daniel Ahmed, 2022. "Rolling microswarms along acoustic virtual walls," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    5. Susan Erikson, 2021. "COVID‐Apps: Misdirecting Public Health Attention in a Pandemic," Global Policy, London School of Economics and Political Science, vol. 12(S6), pages 97-100, July.
    6. Yifan Xie & Shuo Feng & Linxiao Deng & Aoran Cai & Liyu Gan & Zifan Jiang & Peng Yang & Guilin Ye & Zaiqing Liu & Li Wen & Qing Zhu & Wanjun Zhang & Zhanpeng Zhang & Jiahe Li & Zeyu Feng & Chutian Zha, 2023. "Inverse design of chiral functional films by a robotic AI-guided system," Nature Communications, Nature, vol. 14(1), pages 1-13, December.
    7. Xiaodong Jiao & Jin Tao & Hao Sun & Qinglin Sun, 2022. "Kinematic Modes Identification and Its Intelligent Control of Micro-Nano Particle Manipulated by Acoustic Signal," Mathematics, MDPI, vol. 10(21), pages 1-13, November.
    8. Amanda A. Volk & Robert W. Epps & Daniel T. Yonemoto & Benjamin S. Masters & Felix N. Castellano & Kristofer G. Reyes & Milad Abolhasani, 2023. "AlphaFlow: autonomous discovery and optimization of multi-step chemistry using a self-driven fluidic lab guided by reinforcement learning," Nature Communications, Nature, vol. 14(1), pages 1-16, December.
    9. Ye Yang & Yaozhang Yang & Dingyuan Liu & Yuanyuan Wang & Minqiao Lu & Qi Zhang & Jiqing Huang & Yongchuan Li & Teng Ma & Fei Yan & Hairong Zheng, 2023. "In-vivo programmable acoustic manipulation of genetically engineered bacteria," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    10. Jiyu Cui & Fang Wu & Wen Zhang & Lifeng Yang & Jianbo Hu & Yin Fang & Peng Ye & Qiang Zhang & Xian Suo & Yiming Mo & Xili Cui & Huajun Chen & Huabin Xing, 2023. "Direct prediction of gas adsorption via spatial atom interaction learning," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    11. Zi-Jing Zhang & Shu-Wen Li & João C. A. Oliveira & Yanjun Li & Xinran Chen & Shuo-Qing Zhang & Li-Cheng Xu & Torben Rogge & Xin Hong & Lutz Ackermann, 2023. "Data-driven design of new chiral carboxylic acid for construction of indoles with C-central and C–N axial chirality via cobalt catalysis," Nature Communications, Nature, vol. 14(1), pages 1-9, December.
    12. Bin Ouyang & Yan Zeng, 2024. "The rise of high-entropy battery materials," Nature Communications, Nature, vol. 15(1), pages 1-5, December.
    13. Wenhao Gao & Priyanka Raghavan & Connor W. Coley, 2022. "Autonomous platforms for data-driven organic synthesis," Nature Communications, Nature, vol. 13(1), pages 1-4, December.
    14. Matthew Stein & Sam Keller & Yujie Luo & Ognjen Ilic, 2022. "Shaping contactless radiation forces through anomalous acoustic scattering," Nature Communications, Nature, vol. 13(1), pages 1-8, December.
    15. Gazendra Shakya & Tao Yang & Yu Gao & Apresio K. Fajrial & Baowen Li & Massimo Ruzzene & Mark A. Borden & Xiaoyun Ding, 2022. "Acoustically manipulating internal structure of disk-in-sphere endoskeletal droplets," Nature Communications, Nature, vol. 13(1), pages 1-9, December.
    16. Alexia Campo Fonseca & Chaim Glück & Jeanne Droux & Yann Ferry & Carole Frei & Susanne Wegener & Bruno Weber & Mohamad El Amki & Daniel Ahmed, 2023. "Ultrasound trapping and navigation of microrobots in the mouse brain vasculature," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
    17. Hao Xu & Jinglong Lin & Dongxiao Zhang & Fanyang Mo, 2023. "Retention time prediction for chromatographic enantioseparation by quantile geometry-enhanced graph neural network," Nature Communications, Nature, vol. 14(1), pages 1-15, December.
    18. Jiawei Sun & Bin Yang & Nektarios Koukourakis & Jochen Guck & Juergen W. Czarske, 2024. "AI-driven projection tomography with multicore fibre-optic cell rotation," Nature Communications, Nature, vol. 15(1), pages 1-11, December.
    19. Benjamin P. MacLeod & Fraser G. L. Parlane & Connor C. Rupnow & Kevan E. Dettelbach & Michael S. Elliott & Thomas D. Morrissey & Ted H. Haley & Oleksii Proskurin & Michael B. Rooney & Nina Taherimakhs, 2022. "A self-driving laboratory advances the Pareto front for material properties," Nature Communications, Nature, vol. 13(1), pages 1-10, December.
    20. Cornel Dillinger & Nitesh Nama & Daniel Ahmed, 2021. "Ultrasound-activated ciliary bands for microrobotic systems inspired by starfish," Nature Communications, Nature, vol. 12(1), pages 1-11, December.

    More about this item

    Statistics

    Access and download statistics

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:nat:natcom:v:13:y:2022:i:1:d:10.1038_s41467-022-34167-y. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.nature.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.