DNA nanostructure-assisted detection of carcinoembryonic antigen with a solid-state nanopore

Tian, Rong; Weng, Ting; Chen, Shanchuan; Wu, Jerry J.; Yin, Bohua; Ma, Wenhao; Liang, Liyuan; Xie, Wanyi; Wang, Yunjiao; Zeng, Xiaoqing; Yin, Yiming; Wang, Deqiang

doi:10.1016/j.bioelechem.2022.108284

Cited by 3 publications

(1 citation statement)

References 37 publications

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“…Carcinoembryonic antigen (CEA) as a biomarker can be used as an indicator of various cancers [ 1 ]. The identification of CEA levels can aid in early cancer diagnosis or complement histopathological assessments.…”

Section: Introductionmentioning

confidence: 99%

Three-dimensional DNA nanomachine biosensor coupled with CRISPR Cas12a cascade amplification for ultrasensitive detection of carcinoembryonic antigen

Yao,

Liu,

Ding

et al. 2024

J Nanobiotechnol

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The detection of carcinoembryonic antigen (CEA) holds significant importance in the early diagnosis of cancer. However, current methods are hindered by limited accessibility and specificity. This study proposes a rapid and convenient Cas12a-based assay for the direct detection of CEA in clinical serum samples, aiming to address these limitations. The protocol involves a rolling machine operation, followed by a 5-min Cas12a-mediated cleavage process. The assay demonstrates the capability to detect human serum with high anti-interference performance and a detection limit as low as 0.2 ng/mL. The entire testing procedure can be accomplished in 75 min without centrifugation steps, and successfully reduced the limit of detection of traditional DNA walking machine by 50 folds. Overall, the testing procedure can be easily implemented in clinical settings. Graphical Abstract

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Section: Introductionmentioning

confidence: 99%

Three-dimensional DNA nanomachine biosensor coupled with CRISPR Cas12a cascade amplification for ultrasensitive detection of carcinoembryonic antigen

Yao,

Liu,

Ding

et al. 2024

J Nanobiotechnol

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Protein nanopore-based sensors for public health analyte detection

Zhang,

Hu,

Liu

et al. 2024

J. Mater. Chem. B

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Emerging Nanomaterials Biosensors in Breathalyzers for Detection of COVID-19: Future Prospects

Rajendrasozhan,

Sherwani,

Ahmed

et al. 2023

Inorganics

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In recent times, the global landscape of disease detection and monitoring has been profoundly influenced by the convergence of nanotechnology and biosensing techniques. Biosensors have enormous potential to monitor human health, with flexible or wearable variants, through monitoring of biomarkers in clinical and biological behaviors and applications related to health and disease, with increasing biorecognition, sensitivity, selectivity, and accuracy. The emergence of nanomaterial-based biosensors has ushered in a new era of rapid and sensitive diagnostic tools, offering unparalleled capabilities in the realm of disease identification. Even after the declaration of the end of the COVID-19 pandemic, the demand for efficient and accessible diagnostic methodologies has grown exponentially. In response, the integration of nanomaterial biosensors into breathalyzer devices has gained considerable attention as a promising avenue for low-cost, non-invasive, and early detection of COVID-19. This review delves into the forefront of scientific advancements, exploring the potential of emerging nanomaterial biosensors within breathalyzers to revolutionize the landscape of COVID-19 detection, providing a comprehensive overview of their principles, applications, and implications.

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DNA nanostructure-assisted detection of carcinoembryonic antigen with a solid-state nanopore

Cited by 3 publications

References 37 publications

Three-dimensional DNA nanomachine biosensor coupled with CRISPR Cas12a cascade amplification for ultrasensitive detection of carcinoembryonic antigen

Three-dimensional DNA nanomachine biosensor coupled with CRISPR Cas12a cascade amplification for ultrasensitive detection of carcinoembryonic antigen

Protein nanopore-based sensors for public health analyte detection

Emerging Nanomaterials Biosensors in Breathalyzers for Detection of COVID-19: Future Prospects

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