Development of a one-step analysis method for several amino acids using a microfluidic paper-based analytical device

Kugimiya, Akimitsu; Wakimoto, Sho; Kohda, Jiro; Nakano, Yasuhisa; Takano, Yu

doi:10.1038/s41598-022-07408-9

Cited by 8 publications

(4 citation statements)

References 27 publications

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“…More recently, Kugimiya et al [ 427 ] developed a laminated paper-based analytical device (LPAD), exploiting an aminoacyl-tRNA synthetase (aaRS) analysis system, to measure histidine, tryptophan, glycine, and lysine levels ( Figure 20 ). It included a sample spot connected to four enzymatic reaction areas, each containing a specific tRNA synthetase for one amino acid type and four detection areas.…”

Section: Biomedical Applicationsmentioning

confidence: 99%

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Biomedical Applications of Microfluidic Devices: A Review

et al. 2022

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Both passive and active microfluidic chips are used in many biomedical and chemical applications to support fluid mixing, particle manipulations, and signal detection. Passive microfluidic devices are geometry-dependent, and their uses are rather limited. Active microfluidic devices include sensors or detectors that transduce chemical, biological, and physical changes into electrical or optical signals. Also, they are transduction devices that detect biological and chemical changes in biomedical applications, and they are highly versatile microfluidic tools for disease diagnosis and organ modeling. This review provides a comprehensive overview of the significant advances that have been made in the development of microfluidics devices. We will discuss the function of microfluidic devices as micromixers or as sorters of cells and substances (e.g., microfiltration, flow or displacement, and trapping). Microfluidic devices are fabricated using a range of techniques, including molding, etching, three-dimensional printing, and nanofabrication. Their broad utility lies in the detection of diagnostic biomarkers and organ-on-chip approaches that permit disease modeling in cancer, as well as uses in neurological, cardiovascular, hepatic, and pulmonary diseases. Biosensor applications allow for point-of-care testing, using assays based on enzymes, nanozymes, antibodies, or nucleic acids (DNA or RNA). An anticipated development in the field includes the optimization of techniques for the fabrication of microfluidic devices using biocompatible materials. These developments will increase biomedical versatility, reduce diagnostic costs, and accelerate diagnosis time of microfluidics technology.

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Section: Biomedical Applicationsmentioning

confidence: 99%

“…The paper properties and dimensions of channels between detection and reaction areas specify the incubation time for the reaction mixture. Reprinted with permission from [ 427 ] (open access).…”

Section: Figurementioning

confidence: 99%

Biomedical Applications of Microfluidic Devices: A Review

et al. 2022

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“…These distinctive features make μPADs particularly appealing for POC testing in resource-limited and less-industrialized regions. Several reports have demonstrated the efficacy of μPADs in detecting a broad range of analytes, yielding promising results. − …”

Section: Introductionmentioning

confidence: 99%

Dual Chromatic Laser-Printed Microfluidic Paper-Based Analytical Device (μPAD) for the Detection of Atrazine in Water

Moulahoum

2023

ACS Omega

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Water pollution caused by pesticides is a significant threat to the environment and human health. Silver and gold nanoparticle (AgNPs, AuNPs)-based biosensors are affordable tools, ideal for environmental monitoring. Microfluidic paper-based devices (μPADs) are a promising approach for on-site testing, but few studies have explored the use of laser printing (LP) for μPAD-based biosensors. This study investigates the feasibility of using laser printing to fabricate paper-based biosensors for pesticide detection in water samples. The μPAD was designed and optimized by using different filter paper porosities, patterns, and channel thicknesses. The developed LP-μPAD was used to sense the pesticide atrazine in water through colorimetric assessments using a smartphoneassisted image analysis. The analytical assessment showed a limit of detection (LOD) of 3.5 and 10.9 μM for AgNPs and AuNPs, respectively. The sensor had high repeatability and reproducibility. The LP-μPAD also demonstrated good recovery and functionality in simulated contaminated water. Furthermore, the detection of pesticides was found to be specific under the influence of interferents, such as NaCl and pH levels. By combining laser printing and nanoparticles, the proposed sensor could contribute to developing effective and low-cost solutions for monitoring water quality that are widely accessible.

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“…Paper-based analytical devices (PADs) are another good example of point-of-care diagnostics. They have evolved over the past decade due to properties such as low cost, biocompatibility, simple design and usage, and flexibility in pursuing affordable disposable testing units 4 – 6 . While sample analysis can be done in a few minutes, these devices have a relatively high limit of detection (LOD > µM), demanding amplification and cultivation time (usually several hours) for highly sensitive nucleic acid analysis.…”

Section: Introductionmentioning

confidence: 99%

Machine learning at the edge for AI-enabled multiplexed pathogen detection

Ganjalizadeh

Meena

Stott

et al. 2023

Sci Rep

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Multiplexed detection of biomarkers in real-time is crucial for sensitive and accurate diagnosis at the point of use. This scenario poses tremendous challenges for detection and identification of signals of varying shape and quality at the edge of the signal-to-noise limit. Here, we demonstrate a robust target identification scheme that utilizes a Deep Neural Network (DNN) for multiplex detection of single particles and molecular biomarkers. The model combines fast wavelet particle detection with Short-Time Fourier Transform analysis, followed by DNN identification on an AI-specific edge device (Google Coral Dev board). The approach is validated using multi-spot optical excitation of Klebsiella Pneumoniae bacterial nucleic acids flowing through an optofluidic waveguide chip that produces fluorescence signals of varying amplitude, duration, and quality. Amplification-free 3× multiplexing in real-time is demonstrated with excellent specificity, sensitivity, and a classification accuracy of 99.8%. These results show that a minimalistic DNN design optimized for mobile devices provides a robust framework for accurate pathogen detection using compact, low-cost diagnostic devices.

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Development of a one-step analysis method for several amino acids using a microfluidic paper-based analytical device

Cited by 8 publications

References 27 publications

Biomedical Applications of Microfluidic Devices: A Review

Biomedical Applications of Microfluidic Devices: A Review

Dual Chromatic Laser-Printed Microfluidic Paper-Based Analytical Device (μPAD) for the Detection of Atrazine in Water

Machine learning at the edge for AI-enabled multiplexed pathogen detection

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