IDEAS home Printed from https://ideas.repec.org/a/nat/natcom/v14y2023i1d10.1038_s41467-023-39574-3.html
   My bibliography  Save this article

Machining water through laser cutting of nanoparticle-encased water pancakes

Author

Listed:
  • Jicheng Niu

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Wenjing Liu

    (Northwestern Polytechnical University)

  • Jasmine Xinze Li

    (Xi’an Jiaotong University)

  • Xianglong Pang

    (Northwestern Polytechnical University)

  • Yulin Liu

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Chao Zhang

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Keyang Yue

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Yulin Zhou

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Feng Xu

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

  • Xiaoguang Li

    (Northwestern Polytechnical University)

  • Fei Li

    (Xi’an Jiaotong University
    Xi’an Jiaotong University)

Abstract

Due to the inherent disorder and fluidity of water, precise machining of water through laser cutting are challenging. Herein we report a strategy that realizes the laser cutting machining of water through constructing hydrophobic silica nanoparticle-encased water pancakes with sub-millimeter depth. Through theoretical analysis, numerical simulation, and experimental studies, the developed process of nanoparticle-encased water pancake laser cutting and the parameters that affect cutting accuracy are verified and elucidated. We demonstrate that laser-fabricated water patterns can form diverse self-supporting chips (SSCs) with openness, transparency, breathability, liquid morphology, and liquid flow control properties. Applications of laser-fabricated SSCs to various fields, including chemical synthesis, biochemical sensing, liquid metal manipulation, patterned hydrogel synthesis, and drug screening, are also conceptually demonstrated. This work provides a strategy for precisely machining water using laser cutting, addressing existing laser machining challenges and holding significance for widespread fields involving fluid patterning and flow control in biological, chemical, materials and biomedical research.

Suggested Citation

  • Jicheng Niu & Wenjing Liu & Jasmine Xinze Li & Xianglong Pang & Yulin Liu & Chao Zhang & Keyang Yue & Yulin Zhou & Feng Xu & Xiaoguang Li & Fei Li, 2023. "Machining water through laser cutting of nanoparticle-encased water pancakes," Nature Communications, Nature, vol. 14(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:14:y:2023:i:1:d:10.1038_s41467-023-39574-3
    DOI: 10.1038/s41467-023-39574-3
    as

    Download full text from publisher

    File URL: https://www.nature.com/articles/s41467-023-39574-3
    File Function: Abstract
    Download Restriction: no

    File URL: https://libkey.io/10.1038/s41467-023-39574-3?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. Svetlana A. Chechetka & Yue Yu & Xu Zhen & Manojit Pramanik & Kanyi Pu & Eijiro Miyako, 2017. "Light-driven liquid metal nanotransformers for biomedical theranostics," Nature Communications, Nature, vol. 8(1), pages 1-19, August.
    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. Matthew Wei Ming Tan & Hyunwoo Bark & Gurunathan Thangavel & Xuefei Gong & Pooi See Lee, 2022. "Photothermal modulated dielectric elastomer actuator for resilient soft robots," Nature Communications, Nature, vol. 13(1), pages 1-11, December.
    2. FuYao Sun & LongFei Liu & Tong Liu & XueBin Wang & Qi Qi & ZuSheng Hang & Kai Chen & JianHua Xu & JiaJun Fu, 2023. "Vascular smooth muscle-inspired architecture enables soft yet tough self-healing materials for durable capacitive strain-sensor," Nature Communications, Nature, vol. 14(1), pages 1-12, 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:14:y:2023:i:1:d:10.1038_s41467-023-39574-3. 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.