Ultrasensitive detection of SARS-CoV-2 nucleocapsid protein using large gold nanoparticle-enhanced surface plasmon resonance

Yano, Taka-aki; Kajisa, Taira; Ono, Masayuki; Miyasaka, Yoshiya; Hasegawa, Yoshinori; Saito, Atsushi; Otsuka, Kunihiro; Sakane, Ayuko; Sasaki, Takuya; Yasutomo, Koji; Hamajima, Rina; Kanai, Yuta; Kobayashi, Takeshi; Matsuura, Yoshiharu; Itonaga, Makoto; Yasui, Takeshi

doi:10.1038/s41598-022-05036-x

Cited by 63 publications

(45 citation statements)

References 19 publications

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“…The STAT-DNA visualization technique does not require sophisticated instrumentation, immobilization techniques, or transduction technology, such as surface plasmon resonance (SPR) [ 31 ], electrochemical transduction [ 24 ], and surface-enhanced Raman scattering (SERS)-based biosensors [ 32 ].…”

Section: Discussionmentioning

confidence: 99%

Nanoparticle-Based Visual Detection of Amplified DNA for Diagnosis of Hepatitis C Virus

Kim

et al. 2022

Biosensors

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Rapid, simple, and inexpensive diagnostic point-of-care tests (POCTs) are essential for controlling infectious diseases in resource-limited settings. In this study, we developed a new detection system based on nanoparticle–DNA aggregation (STat aggregation of tagged DNA, STAT-DNA) to yield a visual change that can be easily detected by the naked eye. This simplified optical detection system was applied to detect hepatitis C virus (HCV). Reverse transcription-polymerase chain reaction (RT-PCR) was performed using primers labeled with biotin and digoxigenin. Streptavidin-coated magnetic particles (1 μm) and anti-digoxigenin antibody-coated polystyrene particles (250–350 nm) were added to form aggregates. The limit of detection (LoD) and analytical specificity were analyzed. The STAT-DNA results were compared with those of the standard real-time PCR assay using serum samples from 54 patients with hepatitis C. We achieved visualization of amplified DNA with the naked eye by adding nanoparticles to the PCR mixture without employing centrifugal force, probe addition, incubation, or dilution. The LoD of STAT-DNA was at least 101 IU/mL. STAT-DNA did not show cross-reactivity with eight viral pathogens. The detection using STAT-DNA was consistent with that using standard real-time PCR.

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Section: Discussionmentioning

confidence: 99%

Nanoparticle-Based Visual Detection of Amplified DNA for Diagnosis of Hepatitis C Virus

Kim

et al. 2022

Biosensors

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“…Hence, several research groups have been working to fabricate the biosensors to detect the SARS-CoV-2 in the early stage of COVID-19. The spike protein [2] , [3] , [4] , [5] , nucleocapsid protein [6] , [7] , [8] , a short fragment of its gene [9] , [10] , [11] , and receptor-binding domain (RBD) [12] , [13] , [14] of the SARS-CoV-2 are the common biomarkers that were detected in the real samples to diagnose the COVID-19.…”

Section: Introductionmentioning

confidence: 99%

An electrochemical membrane-based aptasensor for detection of severe acute respiratory syndrome coronavirus-2 receptor-binding domain

Tabrizi

Acedo

2022

Applied Surface Science

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“…Recently, some studies have applied surface plasmon resonance (SPR) and low-cost local surface plasmon resonance (LSPR) to the rapid detection of SARS-CoV-2 particles [10][11][12][13][14][15]. However, these methods also have limitations in application.…”

Section: Introductionmentioning

confidence: 99%

“…However, these methods also have limitations in application. For example, virus detection based on SPR usually requires sophisticated and expensive optomechanical systems to monitor the changes in the refraction angle produced by molecular interactions, which limits its large-scale application [15]. Moreover, conventional LSPR devices only extract the global changes in the entire or partial surface optical signal, since most of them only extract simple spectral signals, such as changes in the phase or intensity of spectral peaks, which conceals and ignores substantial rich information regarding the temporal and spatial distribution of the signal changes during detection [10][11][12][13][14].…”

Section: Introductionmentioning

confidence: 99%

Applying Machine Learning with Localized Surface Plasmon Resonance Sensors to Detect SARS-CoV-2 Particles

et al. 2022

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The sudden outbreak of COVID-19 rapidly developed into a global pandemic, which caused tens of millions of infections and millions of deaths. Although SARS-CoV-2 is known to cause COVID-19, effective approaches to detect SARS-CoV-2 using a convenient, rapid, accurate, and low-cost method are lacking. To date, most of the diagnostic methods for patients with early infections are limited to the detection of viral nucleic acids via polymerase chain reaction (PCR), or antigens, using an enzyme-linked immunosorbent assay or a chemiluminescence immunoassay. This study developed a novel method that uses localized surface plasmon resonance (LSPR) sensors, optical imaging, and artificial intelligence methods to directly detect the SARS-CoV-2 virus particles without any sample preparation. The virus concentration can be qualitatively and quantitatively detected in the range of 125.28 to 106 vp/mL through a few steps within 12 min with a limit of detection (LOD) of 100 vp/mL. The accuracy of the SARS-CoV-2 positive or negative assessment was found to be greater than 97%, and this was demonstrated by establishing a regression machine learning model for the virus concentration prediction (R2 > 0.95).

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Ultrasensitive detection of SARS-CoV-2 nucleocapsid protein using large gold nanoparticle-enhanced surface plasmon resonance

Cited by 63 publications

References 19 publications

Nanoparticle-Based Visual Detection of Amplified DNA for Diagnosis of Hepatitis C Virus

Nanoparticle-Based Visual Detection of Amplified DNA for Diagnosis of Hepatitis C Virus

An electrochemical membrane-based aptasensor for detection of severe acute respiratory syndrome coronavirus-2 receptor-binding domain

Applying Machine Learning with Localized Surface Plasmon Resonance Sensors to Detect SARS-CoV-2 Particles

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