A 2D transition metal carbide MXene-based SPR biosensor for ultrasensitive carcinoembryonic antigen detection

Wu, Qiong; Li, Ningbo; Wang, Ying; Liu, Ying; Xu, Yanchao; Wei, Shuting; Wu, Jiandong; Jia, Guangri; Fang, Xuedong; Chen, Fangfang; Cui, Xiaoqiang

doi:10.1016/j.bios.2019.111697

Cited by 152 publications

(81 citation statements)

References 57 publications

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“…The label consisted of polyclonal detection antibodies (Ab 2 ) immobilised on a nanocomposite of multi-walled carbon nanotubes (MWCNT), PDA and AgNPs (MWPAg) with mean particle size of 30 nm. The sensor provided a linear response against the logarithm of CEA concentration from 200 aM to 20 nM and the LOD was 70 aM [71] which showed a higher sensitivity than several contemporary SPR-based CEA sensors [73,74]. [71].…”

Section: Surface Plasmon Resonance Sensors For Biomedical Diagnosticsmentioning

confidence: 91%

“…This trend was also observed when the sensing buffer was replaced with serum. Carcinoembryogenic antigen (CEA) is another prominent cancer biomarker explored using SPR sensors [70][71][72]. Li's group established the merits of streptavidin modified 10 nm large AuNPs as signal enhancers for SPR-based CEA detection by comparing the performance of a direct assay, a sandwich assay without AuNPs and streptavidin functionalised AuNPs enhances sandwich immunoassay [72].…”

Section: Surface Plasmon Resonance Sensors For Biomedical Diagnosticsmentioning

confidence: 99%

“…The LOD reduced 4.2-fold when the direct format was replaced with the sandwich format and 13.8-fold when the sandwich assay also included the modified AuNPs. Wu et al also reported an SPR sensor for CEA determination utilising MXene, a neoteric material consisting of layers of transition metal nitrides, carbides, carbonitrides, etc which has a thickness of a few atoms [71]. As illustrated in Figure 5, the device consisted of ultrathin Ti 3 C 2 -MXene (thickness = 2 nm) nanosheets which served as a binding substrate for AuNPs (size = 40 nm).…”

Section: Surface Plasmon Resonance Sensors For Biomedical Diagnosticsmentioning

confidence: 99%

“…The sensor provided a linear response against the logarithm of CEA concentration from 200 aM to 20 nM and the LOD was 70 aM [71] which showed a higher sensitivity than several contemporary SPR-based CEA sensors [73,74]. [71]. Reproduced with permission from [71].…”

Section: Surface Plasmon Resonance Sensors For Biomedical Diagnosticsmentioning

confidence: 99%

“…Hence, AgNPs are subjected to functionalisation prior to their application in sensor development [91]. Due to higher stability as well as a superior capability to undergo functionalisation with various biomolecules, AuNPs are emerging as the material of choice to develop LSPR transducers [84,92,93] even though the magnitude of their [71]. Reproduced with permission from [71].…”

Section: Localised Surface Plasmon Resonance Sensors For Biomedical Dmentioning

confidence: 99%

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Recent Progress in Optical Sensors for Biomedical Diagnostics

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2020

Micromachines

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In recent years, several types of optical sensors have been probed for their aptitude in healthcare biosensing, making their applications in biomedical diagnostics a rapidly evolving subject. Optical sensors show versatility amongst different receptor types and even permit the integration of different detection mechanisms. Such conjugated sensing platforms facilitate the exploitation of their neoteric synergistic characteristics for sensor fabrication. This paper covers nearly 250 research articles since 2016 representing the emerging interest in rapid, reproducible and ultrasensitive assays in clinical analysis. Therefore, we present an elaborate review of biomedical diagnostics with the help of optical sensors working on varied principles such as surface plasmon resonance, localised surface plasmon resonance, evanescent wave fluorescence, bioluminescence and several others. These sensors are capable of investigating toxins, proteins, pathogens, disease biomarkers and whole cells in varied sensing media ranging from water to buffer to more complex environments such as serum, blood or urine. Hence, the recent trends discussed in this review hold enormous potential for the widespread use of optical sensors in early-stage disease prediction and point-of-care testing devices.

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