This paper presents a novel method of rapidly customizing microfluidic systems using a consumer-grade inkjet printer and a commercially available superhydrophobic spray. By casting polydimethylsiloxane (PDMS) on liquid templates that are defined by inkjet-printed hydrophilic patterns on superhydrophobically-coated PDMS substrates, microfluidic devices can be directly fabricated. Utilizing the interfacial properties of the superhydrophobic coating and the template liquid, the fabrication of microfluidics could be done with minimum effort and expertise, and unlike previously reported works, no mask and bonding process is necessary. As a proof of concept, we created different microfluidic devices for various applications, like gradient generation and pneumatic control of fluid. Appealing in its simplicity and rapidness, the newly proposed technique could provide an easy-to-use microfluidic platform for front-line researchers with different backgrounds to quickly customize microfluidic devices.
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http://dx.doi.org/10.1021/acsami.9b17071 | DOI Listing |
Anal Chem
January 2025
State Key Laboratory of Chemo/Biosensing and Chemometrics, College of Chemistry and Chemical Engineering, Key Laboratory for Bio-Nanotechnology and Molecular Engineering of Hunan Province, Hunan University, Changsha 410082, China.
To facilitate on-site detection by nonspecialists, there is a demand for the development of portable "sample-to-answer" devices capable of executing all procedures in an automated or easy-to-operate manner. Here, we developed an automated detection device that integrated a magnetofluidic manipulation system and a signal acquisition system. Both systems were controllable via a smartphone.
View Article and Find Full Text PDFAnnu Rev Chem Biomol Eng
January 2025
1Department of Chemical & Biomolecular Engineering, North Carolina State University, Raleigh, North Carolina, USA; email:
Understanding the molecular, cellular, and physiological components of neurodegenerative diseases (NDs) is paramount for developing accurate diagnostics and efficacious therapies. However, the complexity of ND pathology and the limitations associated with conventional analytical methods undermine research. Fortunately, microfluidic technology can facilitate discoveries through improved biomarker quantification, brain organoid culture, and small animal model manipulation.
View Article and Find Full Text PDFSci Adv
January 2025
Thomas Lord Department of Mechanical Engineering and Materials, Duke University, Durham, NC 27708, USA.
Precise and rapid disease detection is critical for controlling infectious diseases like COVID-19. Current technologies struggle to simultaneously identify viral RNAs and host immune antibodies due to limited integration of sample preparation and detection. Here, we present acoustofluidic integrated molecular diagnostics (AIMDx) on a chip, a platform enabling high-speed, sensitive detection of viral immunoglobulins [immunoglobulin A (IgA), IgG, and IgM] and nucleic acids.
View Article and Find Full Text PDFMicrosyst Nanoeng
January 2025
Biological Design Center, Boston University, Boston, MA, USA.
Droplet microfluidics enable high-throughput screening, sequencing, and formulation of biological and chemical systems at the microscale. Such devices are generally fabricated in a soft polymer such as polydimethylsiloxane (PDMS). However, developing design masks for PDMS devices can be a slow and expensive process, requiring an internal cleanroom facility or using an external vendor.
View Article and Find Full Text PDFLab Chip
January 2025
NASCENT Engineering Research Center, The University of Texas at Austin, Austin, Texas 78758, USA.
Despite being a high-resolution separation technique, deterministic lateral displacement (DLD) technology is facing multiple challenges with regard to design, manufacture, and operation of pertinent devices. This work specifically aims at alleviating difficulties associated with design and manufacture of DLD chips. The process of design and production of computer-aided design (CAD) mask layout files that are typically required for computational modeling analysis, optimization, as well as for manufacturing DLD-based micro/nanofluidic chips is complex, time-consuming, and often necessitates a high level of expertise in the field.
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