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Resumen
The accurate and effective detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential to preventing the spread of infectious diseases and ensuring human health. Herein, a nanobody-displayed whole-cell biosensor was developed for colorimetric detection of SARS-CoV-2 spike proteins. Serving as bioreceptors, yeast surfaces were genetically engineered to display SARS-CoV-2 binding of llama-derived single-domain antibodies [ver mas...]
dc.contributor.authorHe, Yawen
dc.contributor.authorXu, Zhiyuan
dc.contributor.authorKasputis, Tom
dc.contributor.authorZhao, Xue
dc.contributor.authorIbañez, Itati
dc.contributor.authorPavan, Florencia
dc.contributor.authorBok, Marina
dc.contributor.authorMalito, Juan Pablo
dc.contributor.authorParreño, Gladys Viviana
dc.contributor.authorYuan, Lijuan
dc.contributor.authorWright, R. Clay
dc.contributor.authorChen, Juhong
dc.date.accessioned2023-09-15T10:55:41Z
dc.date.available2023-09-15T10:55:41Z
dc.date.issued2023-08
dc.identifier.issn1944-8252
dc.identifier.otherhttps://doi.org/10.1021/acsami.3c05900
dc.identifier.urihttp://hdl.handle.net/20.500.12123/15222
dc.identifier.urihttps://pubs.acs.org/doi/10.1021/acsami.3c05900
dc.description.abstractThe accurate and effective detection of severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is essential to preventing the spread of infectious diseases and ensuring human health. Herein, a nanobody-displayed whole-cell biosensor was developed for colorimetric detection of SARS-CoV-2 spike proteins. Serving as bioreceptors, yeast surfaces were genetically engineered to display SARS-CoV-2 binding of llama-derived single-domain antibodies (nanobodies) with high capture efficiency, facilitating the concentration and purification of SARS-CoV-2. Gold nanoparticles (AuNPs) employed as signal transductions were functionalized with horseradish peroxidase (HRP) and anti-SARS monoclonal antibodies to enhance the detection sensitivity. In the presence of SARS-CoV-2 spike proteins, the sandwiched binding will be formed by linking engineered yeast, SARS-CoV-2 spike proteins, and reporter AuNPs. The colorimetric signal was generated by the enzymatic reaction of HRP and its corresponding colorimetric substrate/chromogen system. At the optimal conditions, the developed whole-cell biosensor enables the sensitive detection of SARS-CoV-2 spike proteins in a linear range from 0.01 to 1 μg/mL with a limit of detection (LOD) of 0.037 μg/mL (about 4 × 108 virion particles/mL). Furthermore, the whole-cell biosensor was demonstrated to detect the spike protein of different SARS-CoV-2 variants in human serum, providing new possibilities for the detection of future SARS-CoV-2 variants.eng
dc.formatapplication/pdfes_AR
dc.language.isoenges_AR
dc.publisherAmerican Chemical Societyes_AR
dc.rightsinfo:eu-repo/semantics/restrictedAccesses_AR
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/es_AR
dc.sourceACS Applied Materials & Interfaces 15 : 37184-37192 (Agosto 2023)es_AR
dc.subjectBiosensorseng
dc.subjectBiosensoreses_AR
dc.subjectColorimetryeng
dc.subjectColorimetríaes_AR
dc.subjectSevere Acute Respiratory Syndrome Coronavirus 2eng
dc.subjectCoronavirus del Síndrome Respiratorio Agudo Grave 2es_AR
dc.subject.otherNanobodyeng
dc.subject.otherNanocuerpoes_AR
dc.subject.otherSARS-CoV-2es_AR
dc.titleDevelopment of nanobody-displayed whole-cell biosensors for the colorimetric detection of SARS-CoV‑2es_AR
dc.typeinfo:ar-repo/semantics/artículoes_AR
dc.typeinfo:eu-repo/semantics/articlees_AR
dc.typeinfo:eu-repo/semantics/publishedVersiones_AR
dc.rights.licenseCreative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0)es_AR
dc.description.origenInstituto de Virologíaes_AR
dc.description.filFil: He, Yawen. Virginia Tech. Department of Biological Systems Engineering; Estados Unidoses_AR
dc.description.filFil: Xu, Zhiyuan. Virginia Tech. Department of Biological Systems Engineering; Estados Unidoses_AR
dc.description.filFil: Kasputis, Tom. Virginia Tech. Department of Biological Systems Engineering; Estados Unidoses_AR
dc.description.filFil: Zhao, Xue. Virginia Tech. Department of Biological Systems Engineering; Estados Unidoses_AR
dc.description.filFil: Ibañez, Itati. Universidad de Buenos Aires. Instituto de Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE); Argentinaes_AR
dc.description.filFil: Ibañez, Itati. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Pavan, Florencia. Universidad de Buenos Aires. Instituto de Química Física de los Materiales, Medio Ambiente y Energía (INQUIMAE); Argentinaes_AR
dc.description.filFil: Pavan, Florencia. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Bok, Marina. Instituto Nacional de Tecnología Agropecuaria (INTA). INCUINTA. Instituto de Virología e Innovaciones Tecnologicas; Argentinaes_AR
dc.description.filFil: Bok, Marina. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Malito, Juan Pablo. Instituto Nacional de Tecnología Agropecuaria (INTA). INCUINTA. Instituto de Virología e Innovaciones Tecnologicas; Argentinaes_AR
dc.description.filFil: Malito, Juan Pablo. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Parreño, Gladys Viviana. Instituto Nacional de Tecnología Agropecuaria (INTA). INCUINTA. Instituto de Virologia e Innovaciones Tecnologicas (IVIT); Argentinaes_AR
dc.description.filFil: Parreño, Gladys Viviana. Consejo Nacional de Investigaciones Científicas y Técnicas; Argentinaes_AR
dc.description.filFil: Parreño, Gladys Viviana. Virginia-Maryland College of Veterinary Medicine. Department of Biomedical Sciences and Pathobiology; Estados Unidoses_AR
dc.description.filFil: Yuan, Lijuan. Virginia-Maryland College of Veterinary Medicine. Department of Biomedical Sciences and Pathobiology; Estados Unidoses_AR
dc.description.filFil: Wright, R. Clay. Virginia Tech. Department of Biological Systems Engineering; Estados Unidoses_AR
dc.description.filFil: Chen, Juhong. Virginia Tech. Department of Biological Systems Engineering; Estados Unidoses_AR
dc.subtypecientifico


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