Simultaneous Detection of Inflammatory Biomarkers by SERS Nanotag-Based Lateral Flow Assay with Portable Cloud Raman Spectrometer
Inflammatory biomarkers are closely related to infectious diseases. However, traditional clinical tests of laboratory inspection are unable to achieve rapid and accurate detection of these biomarkers on-site due to shortcomings such as complex experimental operation, expensive equipment, and long te...
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MDPI AG
2021-06-01
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| Series: | Nanomaterials |
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| Online Access: | https://www.mdpi.com/2079-4991/11/6/1496 |
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| author | Yang Li Xiaojia Liu Jiuchuan Guo Yueting Zhang Jinhong Guo Xinggui Wu Bo Wang Xing Ma |
| author_facet | Yang Li Xiaojia Liu Jiuchuan Guo Yueting Zhang Jinhong Guo Xinggui Wu Bo Wang Xing Ma |
| author_sort | Yang Li |
| collection | DOAJ |
| description | Inflammatory biomarkers are closely related to infectious diseases. However, traditional clinical tests of laboratory inspection are unable to achieve rapid and accurate detection of these biomarkers on-site due to shortcomings such as complex experimental operation, expensive equipment, and long test time. Herein, we proposed a lateral flow assay (LFA) strip based on surface-enhanced Raman scattering (SERS) nanotags (SERS-LFA strips) for the simultaneous and quantitative detection of dual infection biomarkers, serum amyloid A (SAA) and C-reactive protein (CRP), respectively. In practice, mesoporous silica (mSiO<sub>2</sub>)-coated Au nanoparticles (Au NPs) were used as the SERS substrate. Mercaptobenzoic acid (MBA) was embedded in the internal gap between Au NPs and the mSiO<sub>2</sub> shell to prepare Au<sup>MBA</sup>@mSiO<sub>2</sub> NPs, onto which SAA and CRP antibodies were modified to prepare two Au<sup>MBA</sup>@mSiO<sub>2</sub> SERS nanotags. The Raman intensities of the test and control lines were simultaneously identified for the qualitative detection of SAA and CRP, with limits of detection (LODs) as low as 0.1 and 0.05 ng/mL for SAA and CRP, respectively. Finally, aiming at point-of-care testing (POCT) applications, we used a smartphone-based portable Raman spectrometer to quantitatively analyze the SERS-LFA strips. The Raman signal could still be accurately detected when the concentration of SAA and CRP was 10 ng/mL, which is lower than the LOD required in clinical practice for most diseases. Therefore, taking into account its simple operation and short analysis time, by using a portable Raman spectrometer which can be equipped with a 5G cloud-based healthcare management system, the current strategy based on SERS-LFA provides the potential for the quick and on-site diagnosis of infectious diseases such as sepsis, which is of great significance for medical guidance on the treatment of widely spread infection-related diseases in remote areas that lack well-developed medical resources. |
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| language | English |
| last_indexed | 2024-03-10T10:42:17Z |
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| spelling | doaj.art-b971d20e855342a59cac002c2813ec2a2023-11-21T22:54:51ZengMDPI AGNanomaterials2079-49912021-06-01116149610.3390/nano11061496Simultaneous Detection of Inflammatory Biomarkers by SERS Nanotag-Based Lateral Flow Assay with Portable Cloud Raman SpectrometerYang Li0Xiaojia Liu1Jiuchuan Guo2Yueting Zhang3Jinhong Guo4Xinggui Wu5Bo Wang6Xing Ma7School of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaSauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, ChinaSchool of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaSchool of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaSchool of Communication and Information Engineering, University of Electronic Science and Technology of China, Chengdu 611731, ChinaCloudMinds Inc., Shenzhen Bay Science and Technology Ecological Park, Shenzhen 100022, ChinaSchool of Materials Engineering, Shanghai University of Engineering Science, Shanghai 201620, ChinaSauvage Laboratory for Smart Materials, School of Materials Science and Engineering, Harbin Institute of Technology (Shenzhen), Shenzhen 518055, ChinaInflammatory biomarkers are closely related to infectious diseases. However, traditional clinical tests of laboratory inspection are unable to achieve rapid and accurate detection of these biomarkers on-site due to shortcomings such as complex experimental operation, expensive equipment, and long test time. Herein, we proposed a lateral flow assay (LFA) strip based on surface-enhanced Raman scattering (SERS) nanotags (SERS-LFA strips) for the simultaneous and quantitative detection of dual infection biomarkers, serum amyloid A (SAA) and C-reactive protein (CRP), respectively. In practice, mesoporous silica (mSiO<sub>2</sub>)-coated Au nanoparticles (Au NPs) were used as the SERS substrate. Mercaptobenzoic acid (MBA) was embedded in the internal gap between Au NPs and the mSiO<sub>2</sub> shell to prepare Au<sup>MBA</sup>@mSiO<sub>2</sub> NPs, onto which SAA and CRP antibodies were modified to prepare two Au<sup>MBA</sup>@mSiO<sub>2</sub> SERS nanotags. The Raman intensities of the test and control lines were simultaneously identified for the qualitative detection of SAA and CRP, with limits of detection (LODs) as low as 0.1 and 0.05 ng/mL for SAA and CRP, respectively. Finally, aiming at point-of-care testing (POCT) applications, we used a smartphone-based portable Raman spectrometer to quantitatively analyze the SERS-LFA strips. The Raman signal could still be accurately detected when the concentration of SAA and CRP was 10 ng/mL, which is lower than the LOD required in clinical practice for most diseases. Therefore, taking into account its simple operation and short analysis time, by using a portable Raman spectrometer which can be equipped with a 5G cloud-based healthcare management system, the current strategy based on SERS-LFA provides the potential for the quick and on-site diagnosis of infectious diseases such as sepsis, which is of great significance for medical guidance on the treatment of widely spread infection-related diseases in remote areas that lack well-developed medical resources.https://www.mdpi.com/2079-4991/11/6/1496lateral flow assay (LFA) stripsurface-enhanced Raman scattering (SERS)point-of-care testing (POCT)inflammatory biomarkerscore-shell nanoparticlesportable cloud Raman spectrometer |
| spellingShingle | Yang Li Xiaojia Liu Jiuchuan Guo Yueting Zhang Jinhong Guo Xinggui Wu Bo Wang Xing Ma Simultaneous Detection of Inflammatory Biomarkers by SERS Nanotag-Based Lateral Flow Assay with Portable Cloud Raman Spectrometer Nanomaterials lateral flow assay (LFA) strip surface-enhanced Raman scattering (SERS) point-of-care testing (POCT) inflammatory biomarkers core-shell nanoparticles portable cloud Raman spectrometer |
| title | Simultaneous Detection of Inflammatory Biomarkers by SERS Nanotag-Based Lateral Flow Assay with Portable Cloud Raman Spectrometer |
| title_full | Simultaneous Detection of Inflammatory Biomarkers by SERS Nanotag-Based Lateral Flow Assay with Portable Cloud Raman Spectrometer |
| title_fullStr | Simultaneous Detection of Inflammatory Biomarkers by SERS Nanotag-Based Lateral Flow Assay with Portable Cloud Raman Spectrometer |
| title_full_unstemmed | Simultaneous Detection of Inflammatory Biomarkers by SERS Nanotag-Based Lateral Flow Assay with Portable Cloud Raman Spectrometer |
| title_short | Simultaneous Detection of Inflammatory Biomarkers by SERS Nanotag-Based Lateral Flow Assay with Portable Cloud Raman Spectrometer |
| title_sort | simultaneous detection of inflammatory biomarkers by sers nanotag based lateral flow assay with portable cloud raman spectrometer |
| topic | lateral flow assay (LFA) strip surface-enhanced Raman scattering (SERS) point-of-care testing (POCT) inflammatory biomarkers core-shell nanoparticles portable cloud Raman spectrometer |
| url | https://www.mdpi.com/2079-4991/11/6/1496 |
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