The Trade-Off Performance of Surface Plasmon Resonance Sensing Utilizing Thin Layer Oxide Under the Metal Layer

Prabowo, Briliant Adhi; Kurniawan, Erry Dwi; Liu, Kou−Chen; Purwidyantri, Agnes

doi:10.1109/icramet47453.2019.8980455

Cited by 2 publications

(2 citation statements)

References 20 publications

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“…Technology may allow a loglinear range, but depending on the device's intended use, the researcher may need to adjust several parameters (if possible) to obtain a narrower dynamic range. The use of different structures of sensing [77,81], diluted and label tailoring [82], varying the concentration of biorecognition elements [83], and the use of antibodies with different affinities [84] are some of the parameters that can be manipulated to achieve the pretended sensitivity and dynamic range. Several strategies for dynamic range enhancements are listed in Table 2.…”

Section: Dynamic Rangementioning

confidence: 99%

The Challenges of Developing Biosensors for Clinical Assessment: A Review

et al. 2021

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Emerging research in biosensors has attracted much attention worldwide, particularly in response to the recent pandemic outbreak of coronavirus disease 2019 (COVID-19). Nevertheless, initiating research in biosensing applied to the diagnosis of diseases is still challenging for researchers, be it in the preferences of biosensor platforms, selection of biomarkers, detection strategies, or other aspects (e.g., cutoff values) to fulfill the clinical purpose. There are two sides to the development of a diagnostic tool: the biosensor development side and the clinical side. From the development side, the research engineers seek the typical characteristics of a biosensor: sensitivity, selectivity, linearity, stability, and reproducibility. On the other side are the physicians that expect a diagnostic tool that provides fast acquisition of patient information to obtain an early diagnosis or an efficient patient stratification, which consequently allows for making assertive and efficient clinical decisions. The development of diagnostic devices always involves assay developer researchers working as pivots to bridge both sides whose role is to find detection strategies suitable to the clinical needs by understanding (1) the intended use of the technology and its basic principle and (2) the preferable type of test: qualitative or quantitative, sample matrix challenges, biomarker(s) threshold (cutoff value), and if the system requires a mono- or multiplex assay format. This review highlights the challenges for the development of biosensors for clinical assessment and its broad application in multidisciplinary fields. This review paper highlights the following biosensor technologies: magnetoresistive (MR)-based, transistor-based, quartz crystal microbalance (QCM), and optical-based biosensors. Its working mechanisms are discussed with their pros and cons. The article also gives an overview of the most critical parameters that are optimized by developing a diagnostic tool.

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Section: Dynamic Rangementioning

confidence: 99%

The Challenges of Developing Biosensors for Clinical Assessment: A Review

et al. 2021

Self Cite

View full text Add to dashboard Cite

show abstract

“…Technology may allow a loglinear range, but depending on the device's intended use, the researcher may need to adjust several parameters (if possible) to obtain a more narrow dynamic range. The use of different structures of sensing [77,81], diluted and label tailoring [82], varying the concentration of biorecognition elements [83],…”

Section: Dynamic Rangementioning

confidence: 99%

The challenges of developing biosensors for clinical assessment: a review

Prabowo¹

2021

Preprint

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Emerging research in biosensors has attracted much attention worldwide, particularly in re-sponse to the recent pandemic outbreak of coronavirus disease 2019 (COVID-19). Neverthe-less, initiating research in biosensing applied to the diagnostic of diseases is still challenging for researchers, either from the preferences of biosensor platforms, selection of biomarkers, detection strategies, and other aspects (e.g., cutoff values) to fulfill the clinical purpose. There are two sides to the development of a diagnostic tool: the biosensor development side and the clinical side. From the development side, the research engineers seek the typical characteristics of a biosensor: sensitivity, selectivity, linearity, stability, and reproducibility. On the other side are the physicians that expect a diagnostic tool that provides fast acquisition of patient in-formation to obtain an early diagnostic or an efficient patient stratification, which conse-quently allows making assertive and efficient clinical decisions. The development of diagnostic devices always involves assay developer researchers, working as pivots to bridge both sides, which role is to find detection strategies suitable to the clinical needs. First, by understanding the intended use of the technology and its basic principle; second, the preferable type of test: qualitative or quantitative, sample matrix challenges, biomarker(s) threshold (cutoff value), and if the system requires a mono or multiplex assay format. This review highlights the challenges for the development of biosensors for clinical assessment and its broad application in multidisciplinary fields. This review paper highlights the following biosensor technologies: magnetoresistive (MR)-based, transistor-based, quartz crystal microbalance (QCM), and op-tical-based biosensors. Its working mechanisms are discussed with their pros and cons. The article also gives an overview of the most critical parameters that are optimized by developing a diagnostic tool.

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The Trade-Off Performance of Surface Plasmon Resonance Sensing Utilizing Thin Layer Oxide Under the Metal Layer

Cited by 2 publications

References 20 publications

The Challenges of Developing Biosensors for Clinical Assessment: A Review

The Challenges of Developing Biosensors for Clinical Assessment: A Review

The challenges of developing biosensors for clinical assessment: a review

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