Amanda E. Sabaine, Ana C. H. Castro-Kochi, Rodrigo S. N. Mancini, Marcos R. A. Silva, Anderson F. Sepulveda, Jamille R. Oliveira, Cesar Remuzgo, Keity S. Santos, Vivian L. Oliveira, Leandro T. Kochi, Lauro T. Kubota, Mónica B. Mamián-López and Wendel A. Alves
{"title":"基于多肽的生物传感器用于SARS-CoV-2抗体变异特异性检测","authors":"Amanda E. Sabaine, Ana C. H. Castro-Kochi, Rodrigo S. N. Mancini, Marcos R. A. Silva, Anderson F. Sepulveda, Jamille R. Oliveira, Cesar Remuzgo, Keity S. Santos, Vivian L. Oliveira, Leandro T. Kochi, Lauro T. Kubota, Mónica B. Mamián-López and Wendel A. Alves","doi":"10.1039/D5MA00485C","DOIUrl":null,"url":null,"abstract":"<p >The pandemic has highlighted an urgent demand for reliable methods to track immunological responses against SARS-CoV-2, especially in vaccinated populations and recovered patients. In this study, we developed biosensors based on the immunodominant peptide P44 (sequence: TGKIADYNYKLPDDF), located in a mutation hotspot of the Spike protein's receptor-binding domain (RBD), to enable the ultrasensitive and specific detection of antibodies against SARS-CoV-2. Gold nanoparticles (AuNPs, ∼30 nm) were synthesized <em>via</em> the Turkevich method and functionalized with P44-WT (wild-type) and its mutated forms, P44-T (gamma) and P44-N (beta), using 4-mercaptobenzoic acid (MBA) as a stabilizer. Functionalization was confirmed by UV-vis spectroscopy and dynamic light scattering (DLS), which revealed shifts in the plasmonic band and increases in the hydrodynamic radius. The optical biosensor, based on surface-enhanced Raman spectroscopy (SERS), analyzed convalescent and control sera (<em>n</em> = 104) using partial least squares discriminant analysis (PLS-DA), achieving 100% sensitivity and 76% specificity. Complementary electrochemical impedance spectroscopy (EIS) on glassy carbon electrodes corroborated the peptide–antibody interaction, yielding detection limits of 0.43, 4.85, and 8.04 ng mL<small><sup>−1</sup></small> for P44-WT, P44-T, and P44-N, respectively. The platform demonstrated high specificity in complex serum matrices and was unaffected by nonspecific biofouling. Our findings underscore the importance of peptide selection and optimization in enhancing biosensor performance and demonstrate the adaptability of this methodology for detecting emerging infectious diseases.</p>","PeriodicalId":18242,"journal":{"name":"Materials Advances","volume":" 19","pages":" 7090-7103"},"PeriodicalIF":4.7000,"publicationDate":"2025-08-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://pubs.rsc.org/en/content/articlepdf/2025/ma/d5ma00485c?page=search","citationCount":"0","resultStr":"{\"title\":\"Peptide-based biosensors for variant-specific detection of SARS-CoV-2 antibodies†\",\"authors\":\"Amanda E. Sabaine, Ana C. H. Castro-Kochi, Rodrigo S. N. Mancini, Marcos R. A. Silva, Anderson F. Sepulveda, Jamille R. Oliveira, Cesar Remuzgo, Keity S. Santos, Vivian L. Oliveira, Leandro T. Kochi, Lauro T. Kubota, Mónica B. Mamián-López and Wendel A. Alves\",\"doi\":\"10.1039/D5MA00485C\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p >The pandemic has highlighted an urgent demand for reliable methods to track immunological responses against SARS-CoV-2, especially in vaccinated populations and recovered patients. In this study, we developed biosensors based on the immunodominant peptide P44 (sequence: TGKIADYNYKLPDDF), located in a mutation hotspot of the Spike protein's receptor-binding domain (RBD), to enable the ultrasensitive and specific detection of antibodies against SARS-CoV-2. Gold nanoparticles (AuNPs, ∼30 nm) were synthesized <em>via</em> the Turkevich method and functionalized with P44-WT (wild-type) and its mutated forms, P44-T (gamma) and P44-N (beta), using 4-mercaptobenzoic acid (MBA) as a stabilizer. Functionalization was confirmed by UV-vis spectroscopy and dynamic light scattering (DLS), which revealed shifts in the plasmonic band and increases in the hydrodynamic radius. The optical biosensor, based on surface-enhanced Raman spectroscopy (SERS), analyzed convalescent and control sera (<em>n</em> = 104) using partial least squares discriminant analysis (PLS-DA), achieving 100% sensitivity and 76% specificity. Complementary electrochemical impedance spectroscopy (EIS) on glassy carbon electrodes corroborated the peptide–antibody interaction, yielding detection limits of 0.43, 4.85, and 8.04 ng mL<small><sup>−1</sup></small> for P44-WT, P44-T, and P44-N, respectively. The platform demonstrated high specificity in complex serum matrices and was unaffected by nonspecific biofouling. Our findings underscore the importance of peptide selection and optimization in enhancing biosensor performance and demonstrate the adaptability of this methodology for detecting emerging infectious diseases.</p>\",\"PeriodicalId\":18242,\"journal\":{\"name\":\"Materials Advances\",\"volume\":\" 19\",\"pages\":\" 7090-7103\"},\"PeriodicalIF\":4.7000,\"publicationDate\":\"2025-08-29\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://pubs.rsc.org/en/content/articlepdf/2025/ma/d5ma00485c?page=search\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Materials Advances\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://pubs.rsc.org/en/content/articlelanding/2025/ma/d5ma00485c\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q2\",\"JCRName\":\"MATERIALS SCIENCE, MULTIDISCIPLINARY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Materials Advances","FirstCategoryId":"1085","ListUrlMain":"https://pubs.rsc.org/en/content/articlelanding/2025/ma/d5ma00485c","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q2","JCRName":"MATERIALS SCIENCE, MULTIDISCIPLINARY","Score":null,"Total":0}
引用次数: 0
摘要
大流行突出表明,迫切需要可靠的方法来跟踪针对SARS-CoV-2的免疫反应,特别是在接种疫苗的人群和康复患者中。在这项研究中,我们开发了基于免疫优势肽P44(序列:TGKIADYNYKLPDDF)的生物传感器,该生物传感器位于Spike蛋白受体结合域(RBD)的突变热点,能够超灵敏和特异性检测SARS-CoV-2抗体。通过Turkevich方法合成金纳米颗粒(AuNPs, ~ 30 nm),并使用4-巯基苯甲酸(MBA)作为稳定剂,用P44-WT(野生型)及其突变形式P44-T (γ)和P44-N (β)进行功能化。通过紫外-可见光谱和动态光散射(DLS)证实了功能化,发现等离子体带发生了位移,流体动力半径增大。该光学生物传感器基于表面增强拉曼光谱(SERS),采用偏最小二乘判别分析(PLS-DA)对恢复期和对照血清(n = 104)进行分析,灵敏度为100%,特异性为76%。玻化碳电极上的互补电化学阻抗谱(EIS)证实了肽-抗体相互作用,P44-WT、P44-T和P44-N的检出限分别为0.43、4.85和8.04 ng mL−1。该平台在复杂的血清基质中显示出高特异性,并且不受非特异性生物污垢的影响。我们的研究结果强调了肽选择和优化在提高生物传感器性能方面的重要性,并证明了这种方法在检测新发传染病方面的适应性。
Peptide-based biosensors for variant-specific detection of SARS-CoV-2 antibodies†
The pandemic has highlighted an urgent demand for reliable methods to track immunological responses against SARS-CoV-2, especially in vaccinated populations and recovered patients. In this study, we developed biosensors based on the immunodominant peptide P44 (sequence: TGKIADYNYKLPDDF), located in a mutation hotspot of the Spike protein's receptor-binding domain (RBD), to enable the ultrasensitive and specific detection of antibodies against SARS-CoV-2. Gold nanoparticles (AuNPs, ∼30 nm) were synthesized via the Turkevich method and functionalized with P44-WT (wild-type) and its mutated forms, P44-T (gamma) and P44-N (beta), using 4-mercaptobenzoic acid (MBA) as a stabilizer. Functionalization was confirmed by UV-vis spectroscopy and dynamic light scattering (DLS), which revealed shifts in the plasmonic band and increases in the hydrodynamic radius. The optical biosensor, based on surface-enhanced Raman spectroscopy (SERS), analyzed convalescent and control sera (n = 104) using partial least squares discriminant analysis (PLS-DA), achieving 100% sensitivity and 76% specificity. Complementary electrochemical impedance spectroscopy (EIS) on glassy carbon electrodes corroborated the peptide–antibody interaction, yielding detection limits of 0.43, 4.85, and 8.04 ng mL−1 for P44-WT, P44-T, and P44-N, respectively. The platform demonstrated high specificity in complex serum matrices and was unaffected by nonspecific biofouling. Our findings underscore the importance of peptide selection and optimization in enhancing biosensor performance and demonstrate the adaptability of this methodology for detecting emerging infectious diseases.