ACS Publications. Most Trusted. Most Cited. Most Read
Comparison of Bulk- vs Layer-by-Layer-Cured Stimuli-Responsive PNIPAM–Alginate Hydrogel Dynamic Viscoelastic Property Response via Embedded Sensors
My Activity

Figure 1Loading Img
    Article

    Comparison of Bulk- vs Layer-by-Layer-Cured Stimuli-Responsive PNIPAM–Alginate Hydrogel Dynamic Viscoelastic Property Response via Embedded Sensors
    Click to copy article linkArticle link copied!

    • Yang Liu
      Yang Liu
      Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
      Macromolecules Innovation Institute, Virginia Tech, Blacksburg, Virginia 24061, United States
      More by Yang Liu
    • Keturah Bethel
      Keturah Bethel
      Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina 29634, United States
    • Manjot Singh
      Manjot Singh
      Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
      More by Manjot Singh
    • Junru Zhang
      Junru Zhang
      Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
      More by Junru Zhang
    • Rana Ashkar
      Rana Ashkar
      Macromolecules Innovation Institute, Virginia Tech, Blacksburg, Virginia 24061, United States
      Department of Physics and Center for Soft Matter and Biological Physics, Virginia Tech, Blacksburg, Virginia 24061, United States
      More by Rana Ashkar
    • Eric M. Davis
      Eric M. Davis
      Department of Chemical and Biomolecular Engineering, Clemson University, Clemson, South Carolina 29634, United States
    • Blake N. Johnson*
      Blake N. Johnson
      Grado Department of Industrial and Systems Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
      Macromolecules Innovation Institute, Virginia Tech, Blacksburg, Virginia 24061, United States
      Department of Materials Science and Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
      Department of Chemical Engineering, Virginia Tech, Blacksburg, Virginia 24061, United States
      *Email: [email protected]. Phone: 540-231-0755. Fax: 540-231-3322.
    Other Access OptionsSupporting Information (1)

    ACS Applied Polymer Materials

    Cite this: ACS Appl. Polym. Mater. 2022, 4, 8, 5596–5607
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acsapm.2c00634
    Published July 17, 2022
    Copyright © 2022 American Chemical Society

    Abstract

    Click to copy section linkSection link copied!
    Abstract Image

    While stimuli-responsive hydrogels are now being widely investigated, such as for additive manufacturing applications, it remains a challenge to continuously monitor the dynamic response of their material properties to stimuli using traditional characterization methods. Here, we report that dynamic-mode piezoelectric milli-cantilever sensors enable real-time monitoring of the viscoelastic response of bulk- and layer-by-layer (LBL)-cured composite poly(N-isopropylacrylamide) (PNIPAM)–alginate hydrogel constructs to thermal changes across the 25–37 °C temperature range. Scanning electron microscopy and sensing studies revealed that the network structure and viscoelastic response of ionic–covalent entanglement composite PNIPAM–alginate hydrogel constructs are dependent on the hydrogel processing method. Composite PNIPAM–alginate constructs fabricated using LBL curing exhibited relatively increased responsiveness compared to bulk-cured constructs in terms of the magnitude of thermal stimulus-driven shear storage modulus change, suggesting opportunities for additive manufacturing applications. In summary, we show that sensors, in combination with traditional characterization methods, enable the study of dynamic process–structure–rheological property relations of stimuli-responsive soft materials and real-time monitoring of material rheological properties using a low-sample volume measurement format.

    Copyright © 2022 American Chemical Society

    Read this article

    To access this article, please review the available access options below.

    Get instant access

    Purchase Access

    Read this article for 48 hours. Check out below using your ACS ID or as a guest.

    Recommended

    Access through Your Institution

    You may have access to this article through your institution.

    Your institution does not have access to this content. Add or change your institution or let them know you’d like them to include access.

    Supporting Information

    Click to copy section linkSection link copied!

    The Supporting Information is available free of charge at https://pubs.acs.org/doi/10.1021/acsapm.2c00634.

    • Schematics of mold geometry, sensor resonant frequency, and quality factor data; sensor data associated with multiple temperature cycles; and SEM data of PNIPAM hydrogel samples (PDF)

    Terms & Conditions

    Most electronic Supporting Information files are available without a subscription to ACS Web Editions. Such files may be downloaded by article for research use (if there is a public use license linked to the relevant article, that license may permit other uses). Permission may be obtained from ACS for other uses through requests via the RightsLink permission system: http://pubs.acs.org/page/copyright/permissions.html.

    Cited By

    Click to copy section linkSection link copied!
    Citation Statements
    Explore this article's citation statements on scite.ai

    This article is cited by 4 publications.

    1. Yang Liu, Xubo Yue, Junru Zhang, Zhenghao Zhai, Ali Moammeri, Kevin J. Edgar, Albert S. Berahas, Raed Al Kontar, Blake N. Johnson. Scalable Accelerated Materials Discovery of Sustainable Polysaccharide-Based Hydrogels by Autonomous Experimentation and Collaborative Learning. ACS Applied Materials & Interfaces 2024, 16 (51) , 70310-70321. https://doi.org/10.1021/acsami.4c16614
    2. Yang Liu, Junru Zhang, Yujing Zhang, Hu Young Yoon, Xiaoting Jia, Maren Roman, Blake N. Johnson. Accelerated Engineering of Optimized Functional Composite Hydrogels via High-Throughput Experimentation. ACS Applied Materials & Interfaces 2023, 15 (45) , 52908-52920. https://doi.org/10.1021/acsami.3c11483
    3. Yuri Choi, Hye Yeon Koh, Jung Y. Han, Soonmin Seo. Synthesis of Hydrogel-Based Microgels and Nanogels Toward Therapeutic and Biomedical Applications. Applied Sciences 2025, 15 (3) , 1368. https://doi.org/10.3390/app15031368
    4. Zhenghao Zhai, Yang Zhou, Ishani Sarkar, Yang Liu, Yimin Yao, Junru Zhang, Michael J. Bortner, John B. Matson, Blake N. Johnson, Kevin J. Edgar. Synthesis and real-time characterization of self-healing, injectable, fast-gelling hydrogels based on alginate multi-reducing end polysaccharides (MREPs). Carbohydrate Polymers 2024, 338 , 122172. https://doi.org/10.1016/j.carbpol.2024.122172

    ACS Applied Polymer Materials

    Cite this: ACS Appl. Polym. Mater. 2022, 4, 8, 5596–5607
    Click to copy citationCitation copied!
    https://doi.org/10.1021/acsapm.2c00634
    Published July 17, 2022
    Copyright © 2022 American Chemical Society

    Article Views

    625

    Altmetric

    -

    Citations

    Learn about these metrics

    Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to reflect usage leading up to the last few days.

    Citations are the number of other articles citing this article, calculated by Crossref and updated daily. Find more information about Crossref citation counts.

    The Altmetric Attention Score is a quantitative measure of the attention that a research article has received online. Clicking on the donut icon will load a page at altmetric.com with additional details about the score and the social media presence for the given article. Find more information on the Altmetric Attention Score and how the score is calculated.