Emergence of microfluidics for next generation biomedical devices

Preetam, Subham; Nahak, Bishal Kumar; Patra, Santanu; Toncu, Dana Cristina; Park, Sukho; Syväjärvi, Mikael; Orive, Gorka; Tiwari, Ashutosh

doi:10.1016/j.biosx.2022.100106

Cited by 62 publications

(52 citation statements)

References 176 publications

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“…Overall, all above science and technology will control the harmful effect of COVID‐19 pandemic more effectively if we adopt the well‐defined roadmap and sustainable prognosis model. From the last decades, nanomaterial‐based biosensors encourage to generate programmable bioelectronics, while digital technologies capable of emulating the delivery of public healthcare management 100 , 101 , 107 , 108 , 109 , 110 , 111 , 116 . Here, adaptation of intelligent technologies could immense boost up in the development of precision medicine to mass services.…”

Section: Future Prospectivementioning

confidence: 99%

Progress in COVID research and developments during pandemic

Shukla¹,

Patra²,

Das

et al. 2022

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The pandemic respiratory disease COVID‐19 has spread over the globe within a small span of time. Generally, there are two important points are being highlighted and considered towards the successful diagnosis and treatment process. The first point includes the reduction of the rate of infections and the next one is the decrease of the death rate. The major threat to public health globally progresses due to the absence of effective medication and widely accepted immunization for the COVID‐19. Whereas, understanding of host susceptibility, clinical features, adaptation of COVID‐19 to new environments, asymptomatic infection is difficult and challenging. Therefore, a rapid and an exact determination of pathogenic viruses play an important role in deciding treatments and preventing pandemic to save the people's lives. It is urgent to fix a standardized diagnostic approach for detecting the COVID‐19. Here, this systematic review describes all the current approaches using for screening and diagnosing the COVID‐19 infectious patient. The renaissance in pathogen due to host adaptability and new region, facing creates several obstacles in diagnosis, drug, and vaccine development process. The study shows that adaptation of accurate and affordable diagnostic tools based on candidate biomarkers using sensor and digital medicine technology can deliver effective diagnosis services at the mass level. Better prospects of public health management rely on diagnosis with high specificity and cost‐effective manner along with multidisciplinary research, specific policy, and technology adaptation. The proposed healthcare model with defined road map represents effective prognosis system.

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Section: Future Prospectivementioning

confidence: 99%

Progress in COVID research and developments during pandemic

Shukla¹,

Patra²,

Das

et al. 2022

VIEW

Self Cite

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“…The state-of-the-art multifunctional biomaterials, such as smart polymers, nanostructures, and interfaces, along with biodevices, incorporate therapeutic, molecular targeting, and diagnostic imaging capabilities . The emerging biomedical research on biosensor and bioelectronics has conceived ooportunities for next-generation healthcare devices. ,, The main goal of OoC devices is to work as a holistic platform of partial human organs for physiological monitoring of consequences and, subsequently, drug interactions. It is a physiological organ mimetic materials system that operates between the tissue interfaces and biosensing-based microfluidic chips in the microenvironment of the human body.…”

Section: Introductionmentioning

confidence: 99%

Advances in Organ-on-a-Chip Materials and Devices

Nahak¹,

Mishra²,

Preetam³

et al. 2022

ACS Appl. Bio Mater.

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The organ-on-a-chip (OoC) paves a way for biomedical applications ranging from preclinical to clinical translational precision. The current trends in the in vitro modeling is to reduce the complexity of human organ anatomy to the fundamental cellular microanatomy as an alternative of recreating the entire cell milieu that allows systematic analysis of medicinal absorption of compounds, metabolism, and mechanistic investigation. The OoC devices accurately represent human physiology in vitro; however, it is vital to choose the correct chip materials. The potential chip materials include inorganic, elastomeric, thermoplastic, natural, and hybrid materials. Despite the fact that polydimethylsiloxane is the most commonly utilized polymer for OoC and microphysiological systems, substitute materials have been continuously developed for its advanced applications. The evaluation of human physiological status can help to demonstrate using noninvasive OoC materials in real-time procedures. Therefore, this Review examines the materials used for fabricating OoC devices, the application-oriented pros and cons, possessions for device fabrication and biocompatibility, as well as their potential for downstream biochemical surface alteration and commercialization. The convergence of emerging approaches, such as advanced materials, artificial intelligence, machine learning, three-dimensional (3D) bioprinting, and genomics, have the potential to perform OoC technology at next generation. Thus, OoC technologies provide easy and precise methodologies in cost-effective clinical monitoring and treatment using standardized protocols, at even personalized levels. Because of the inherent utilization of the integrated materials, employing the OoC with biomedical approaches will be a promising methodology in the healthcare industry.

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“…On the other hand, the discipline of microfluidics has become more popular during the last years due to the micro-miniaturized analytical equipment for biological analysis, chemical sensing, genetic analysis, and metabolic monitoring and detection. The advantages of such miniaturized devices include small reagent volumes, fast response times, low costs, and the reduction or elimination of cross-contamination [ 15 ]. In this sense, planar technology, such as the one proposed in this work, could be more suitable for point-of-care applications, where specialists are more familiar with one-use devices that can be easily replaced [ 16 , 17 ].…”

Section: Introductionmentioning

confidence: 99%

Lossy Mode Resonance Based Microfluidic Platform Developed on Planar Waveguide for Biosensing Applications

et al. 2022

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The development of resonance phenomena-based optical biosensors has gained relevance in recent years due to the excellent optical fiber properties and progress in the research on materials and techniques that allow resonance generation. However, for lossy mode resonance (LMR)-based sensors, the optical fiber presents disadvantages, such as the need for splicing the sensor head and the complex polarization control. To avoid these issues, planar waveguides such as coverslips are easier to handle, cost-effective, and more robust structures. In this work, a microfluidic LMR-based planar waveguide platform was proposed, and its use for biosensing applications was evaluated by detecting anti-immunoglobulin G (anti-IgG). In order to generate the wavelength resonance, the sensor surface was coated with a titanium dioxide (TiO2) thin-film. IgG antibodies were immobilized by covalent binding, and the detection assay was carried out by injecting anti-IgG in PBS buffer solutions from 5 to 20 μg/mL. The LMR wavelength shifted to higher values when increasing the analyte concentration, which means that the proposed system was able to detect the IgG/anti-IgG binding. The calibration curve was built from the experimental data obtained in three repetitions of the assay. In this way, a prototype of an LMR-based biosensing microfluidic platform developed on planar substrates was obtained for the first time.

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Emergence of microfluidics for next generation biomedical devices

Cited by 62 publications

References 176 publications

Progress in COVID research and developments during pandemic

Progress in COVID research and developments during pandemic

Advances in Organ-on-a-Chip Materials and Devices

Lossy Mode Resonance Based Microfluidic Platform Developed on Planar Waveguide for Biosensing Applications

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