
Sensing and Bio-Sensing Research, Journal Year: 2024, Volume and Issue: unknown, P. 100716 - 100716
Published: Nov. 1, 2024
Sensing and Bio-Sensing Research, Journal Year: 2024, Volume and Issue: unknown, P. 100716 - 100716
Published: Nov. 1, 2024
Optics Express, Journal Year: 2022, Volume and Issue: 30(11), P. 19805 - 19805
Published: April 18, 2022
In this work, we demonstrate a spot-welding method for fabrication of all-silica fiber components. A CO2 laser was used to locally sinter sub-micron silica powders, enabling rigid bonding optical glass substrates. The achieved without inducing any transmission losses. components showed no sign deterioration or structural change when heated up 1100 °C. These single material assemblies are therefore well suited use in harsh environments where high stability and robustness is required.
Language: Английский
Citations
3SID Symposium Digest of Technical Papers, Journal Year: 2022, Volume and Issue: 53(S1), P. 438 - 440
Published: Oct. 1, 2022
Digital microfluidics have great advantages in improving droplets throughput and miniaturizing analytical systems. platform can bring new opportunities for chemical biological analysis. Here we present an active‐matrix digital applications high‐throughput micro‐droplets manipulation. The microfluidic chip was fabricated by amorphous silicon thin‐film transistor technology. electrode array consists of 65536 electrodes, which possesses the ability to manipulate thousands independent simultaneously. This work paves ways conducting low‐cost
Language: Английский
Citations
3Micromachines, Journal Year: 2022, Volume and Issue: 13(11), P. 1823 - 1823
Published: Oct. 25, 2022
Droplet microfluidics utilize a monodisperse water-in-oil emulsion, with an expanding toolbox offering wide variety of operations on range droplet sizes at high throughput. However, translation these capabilities into applications for non-expert laboratories to fully harness the inherent potential microscale manipulations is woefully trailing behind. One major obstacle that microfluidic setups often rely custom fabricated devices, costly liquid actuators, and are not easily set up operated by non-specialists. This impedes wider adoption technologies in, e.g., life sciences. Here, we demonstrate easy-to-use minimal production setup small footprint, built exclusively from inexpensive commercially sourced parts, powered controlled laptop. We characterize components system droplets ranging in volume 3 21 nL single device. Furthermore, describe dynamic tuning composition. Finally, droplet-templated cell spheroids primary cells, where mobility simplicity enables its use within biosafety cabinet. Taken together, believe this ideal drive broad technology.
Language: Английский
Citations
3ACS Applied Materials & Interfaces, Journal Year: 2024, Volume and Issue: 16(46), P. 63723 - 63734
Published: Nov. 7, 2024
Classifications of fluids using miniaturized sensors are substantial importance for various fields application. Modified with functional nanomaterials, a moisture-enabled electricity generation (MEG) device can execute dual-purpose operation as both self-powered framework and fluid detection platform. In this study, novel intelligent self-sustained sensing approach was implemented by integrating MEG deep learning in microfluidics. Following multilayer design, the including three individual units power generation/fluid classification fabricated study nonwoven fabrics, hydroxylated carbon nanotubes, poly(vinyl alcohol)-mixed gels, indium tin bismuth liquid alloy. A composite configuration utilizing hydrophobic microfluidic channels hydrophilic porous substrates conducive to self-regulation on-chip flow. As generator, capable maintaining continuous stable output at least 6 h. sensor, synchronously measured voltage (V), current (C), resistance (R) signals functions time, whose transitions were completed relays. These serve straightforward indicators presence, such distinctive "fingerprint". After normalization Fourier transform raw V/C/R signals, lightweight model (wide-kernel convolutional neural network, WDCNN) employed classifying pure water, kiwifruit, clementine, lemon juices. particular, accuracy sample distinction WDCNN 100% within 15 s. The proposed integration MEG, microfluidics, provides paradigm development sustainable environmental perception, well new prospects innovations analytical science smart instruments.
Language: Английский
Citations
0Sensing and Bio-Sensing Research, Journal Year: 2024, Volume and Issue: unknown, P. 100716 - 100716
Published: Nov. 1, 2024
Citations
0