Literature DB >> 34664145

Fluorescent paper strip immunoassay with carbon nanodots@silica for determination of human serum amyloid A1.

Mulya Supianto1, Sang Hyuk Lee1, Sung Hwa Jhung1, Hazara Begum Mohammad2, Hung M Vu2, Min-Sik Kim2, Woo-Young Song3, Tae-Young Kim3, Hye Jin Lee4.   

Abstract

A fluorescent paper strip immunoassay in conjunction with carbon nanodots@silica (CND@SiO2) as a label was developed for the quantitative measurements of human serum amyloid A1 (hSAA1) in serum at clinically significant concentrations for lung cancer diagnosis. Monodispersed CND@SiO2 was prepared by cohydrolysis between silane-crosslinked carbon nanodots and silica precursors via the Ströber method and further attached covalently to anti-hSAA1 (14F8) monoclonal antibody [anti-hSAA1(14F8)] specific to the hSAA1 target. The hSAA1 concentrations were then determined by quantifying the blue fluorescence intensity upon 365 nm excitation of the captured hSAA1 with anti-hSAA1(14F8)-CND@SiO2 conjugates in the test line on a paper strip where anti-hSAA1 (10G1) monoclonal antibody was physisorbed. The developed fluorescent paper strip with CND@SiO2 can detect hSAA1 at concentrations ranging from 0.1 to 5 nM (R2 = 0.995), with a limit of detection of  0.258 nM in 10 mM phosphate buffer pH 7.4 containing human serum albumin. The performance of  recovery (90.98-109.17%) and repeatability (coefficients of variation < 8.46%) obtained was also acceptable for quantitative determinations. The platform was employed for direct determination of hSAA1 concentrations in undiluted serum samples from lung cancer patients (relative standard deviation (RSD) < 7.46%) and healthy humans (RSD < 3.96%). The results were compared with those obtained using a commercially available enzyme-linked immunosorbent assay alongside liquid chromatography with tandem mass spectrometry measurements.
© 2021. The Author(s), under exclusive licence to Springer-Verlag GmbH Austria, part of Springer Nature.

Entities:  

Keywords:  Carbon nanodots@silica; Fluorescent paper strip; Human serum amyloid A1; Lung cancer; Serum analysis

Mesh:

Substances:

Year:  2021        PMID: 34664145     DOI: 10.1007/s00604-021-05019-1

Source DB:  PubMed          Journal:  Mikrochim Acta        ISSN: 0026-3672            Impact factor:   5.833


  24 in total

1.  Quantification of SAA1 and SAA2 in lung cancer plasma using the isotype-specific PRM assays.

Authors:  Yeoun Jin Kim; Sebastien Gallien; Victoria El-Khoury; Panchali Goswami; Katriina Sertamo; Marc Schlesser; Guy Berchem; Bruno Domon
Journal:  Proteomics       Date:  2015-08-17       Impact factor: 3.984

Review 2.  The role of bronchoscopy in the diagnosis of early lung cancer: a review.

Authors:  Marco Andolfi; Rossella Potenza; Rosanna Capozzi; Valeria Liparulo; Francesco Puma; Kazuhiro Yasufuku
Journal:  J Thorac Dis       Date:  2016-11       Impact factor: 2.895

3.  A Hand-Held Point-of-Care Biosensor Device for Detection of Multiple Cancer and Cardiac Disease Biomarkers Using Interdigitated Capacitive Arrays.

Authors:  Omer Ceylan; Geetesh K Mishra; Melik Yazici; Anjum Qureshi; Javed H Niazi; Yasar Gurbuz
Journal:  IEEE Trans Biomed Circuits Syst       Date:  2018-12       Impact factor: 3.833

4.  Identification and validation of a potential lung cancer serum biomarker detected by matrix-assisted laser desorption/ionization-time of flight spectra analysis.

Authors:  Brandon A Howard; Michael Z Wang; Michael J Campa; Christina Corro; Michael C Fitzgerald; Edward F Patz
Journal:  Proteomics       Date:  2003-09       Impact factor: 3.984

5.  Prognostic value of combination of Cyfra 21-1, CEA and NSE in patients with advanced non-small cell lung cancer.

Authors:  Fabrice Barlési; Céline Gimenez; Jean-Philippe Torre; Christophe Doddoli; Julien Mancini; Laurent Greillier; François Roux; Jean-Pierre Kleisbauer
Journal:  Respir Med       Date:  2004-04       Impact factor: 3.415

6.  Serum protein profiling by SELDI mass spectrometry: detection of multiple variants of serum amyloid alpha in renal cancer patients.

Authors:  Jonathan Tolson; Ralf Bogumil; Elke Brunst; Hermann Beck; Raimund Elsner; Andreas Humeny; Hartmut Kratzin; Martin Deeg; Markus Kuczyk; Gerhard A Mueller; Claudia A Mueller; Thomas Flad
Journal:  Lab Invest       Date:  2004-07       Impact factor: 5.662

7.  Highly sensitive immunoassay of lung cancer marker carcinoembryonic antigen using surface-enhanced Raman scattering of hollow gold nanospheres.

Authors:  Hyangah Chon; Sangyeop Lee; Sang Wook Son; Chil Hwan Oh; Jaebum Choo
Journal:  Anal Chem       Date:  2009-04-15       Impact factor: 6.986

8.  Serum CA125 level is a good prognostic indicator in lung cancer.

Authors:  Y Kimura; T Fujii; K Hamamoto; N Miyagawa; M Kataoka; A Iio
Journal:  Br J Cancer       Date:  1990-10       Impact factor: 7.640

9.  Sensitivity and specificity of lung cancer screening using chest low-dose computed tomography.

Authors:  Y Toyoda; T Nakayama; Y Kusunoki; H Iso; T Suzuki
Journal:  Br J Cancer       Date:  2008-05-06       Impact factor: 7.640

Review 10.  Emerging non-invasive detection methodologies for lung cancer.

Authors:  Zhen Li; Jinian Shu; Bo Yang; Zuojian Zhang; Jingyun Huang; Yang Chen
Journal:  Oncol Lett       Date:  2020-03-12       Impact factor: 2.967

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