Upconversion nanoparticles-based lateral flow immunoassay for point-of-care diagnosis of periodontitis

被引:43
|
作者
He, Wanghong [1 ,2 ,3 ]
You, Minli [2 ,3 ]
Li, Zedong [2 ,3 ]
Cao, Lei [2 ,3 ]
Xu, Feng [2 ,3 ]
Li, Fei [2 ,3 ]
Li, Ang [1 ]
机构
[1] Xi An Jiao Tong Univ, Coll Stomatol, Key Lab Shaanxi Prov Craniofacial Precis Med Res, Xian 710049, Peoples R China
[2] Xi An Jiao Tong Univ, Sch Life Sci & Technol, Key Lab Biomed Informat Engn, Minist Educ, Xian 710049, Peoples R China
[3] Xi An Jiao Tong Univ, Bioinspired Engn & Biomech Ctr BEBC, Xian 710049, Peoples R China
基金
中国博士后科学基金;
关键词
Periodontitis diagnosis; Point-of-care testing (POCT); Lateral flow immunoassay; Gingival crevicular fluid (GCF); Upconversion nanoparticles; GINGIVAL CREVICULAR FLUID; DISEASE; BIOMARKERS; MMP-8; SALIVA; ASSAY; FLUORESCENCE; PLATFORM; DEVICE; PAPER;
D O I
10.1016/j.snb.2021.129673
中图分类号
O65 [分析化学];
学科分类号
070302 ; 081704 ;
摘要
Multiplex and rapid detection of biomarkers in gingival crevicular fluid (GCF) is critical to achieve accurate and timely diagnosis of periodontitis severity and progression. Aiming at providing a point-of-care testing (POCT) platform for clinical diagnosis of periodontitis at chair side, we developed a disk-like lateral flow immunoassay strip (LFIS) using green core-shell upconversion nanoparticles (G-UCNPs) as luminescence probe to simultaneously detect three periodontitis biomarkers in GCF, i.e., matrix metalloproteinases-8 (MMP-8), interleukin-1 beta (IL-1?) and tumor necrosis factor-alpha (TNF-?). The developed G-UCNPs-LFIS platform achieved highly sensitive detection of the three biomarkers in standard solutions with detection limits of 5.455, 0.054 and 4.439 ng/mL, respectively, and exhibited high detection specificity in spiked GCF. A high and stable recovery rate of the three biomarkers rate was also obtained in spiked artificial saliva. Furthermore, the simultaneous detection of the three biomarkers was successfully performed in clinical GCF samples for the first time. And the results showed a relative high correlation index (0.995 for MMP-8 detection, 0.976 for IL-1? detection, 0.977 for TNF-? detection) compared with those obtained using the clinical detection methods, verifying the diagnosis accuracy of the developed G-UCNPs-LFIS. Additionally, the total time to accomplish the detection only took 30 min once, enabling users to timely monitor their periodontitis conditions. We thus envision the great promise of the developed G-UCNPs-LFIS platform for accurate and timely diagnosis of periodontitis in clinic.
引用
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页数:10
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