Publication details

Pokročilé nanočásticové značky pro imunochromatografická stanovení

Title in English Advanced Nanoparticle-Based Labels for Lateral Flow Immunoassays
Authors

KOPECKÝ Martin FARKA Zdeněk

Year of publication 2026
Type Paper in proceedings
Conference Czech Chemical Society Symposium Series
MU Faculty or unit

Faculty of Science

Citation
web https://www.ccsss.cz/index.php/ccsss/article/view/34
Doi https://doi.org/10.54779/ccsss20260330
Keywords diagnostic strip; photon-upconversion nanoparticle; immunoassay; human serum albumin; piezoelectric dispenser; prostate-specific antigen; gold nanoparticle
Description Lateral flow immunoassays (LFIAs) are among the most common tools used in point-of-care testing. However, conventional gold nanoparticle labels often lack the sensitivity needed to detect low-abundance biomarkers. To overcome this limitation, new nanomaterials have been developed to improve LFIA performance, but comparative evaluation of individual labels is lacking. Therefore, this study provides a systematic comparison of standard gold nanoparticles, gold nanoshells (AuNSs), and photon-upconversion nanoparticles (UCNPs) with different surface chemistries. The best-performing labels, AuNSs and polyacrylic acid-modified Tm-doped UCNPs (PAA-Tm UCNPs), were then used to detect human serum albumin (HSA) in urine and prostate-specific antigen (PSA) in serum. These analytes serve as biomarkers for kidney damage and prostate cancer, respectively. AuNSs showed high sensitivity in buffer tests; however, their performance in serum was affected by aggregation, resulting in highly variable recoveries of 30–216% for PSA-spiked serum. Conversely, PAA-Tm UCNPs exhibited high colloidal stability and maintained strong analytical performance in biological samples. The optimized UCNP-based LFIA achieved limits of detection of 63 pg mL-1 for HSA in urine and 34 pg mL-1 for PSA in serum. Additionally, the UCNP platform enabled PSA quantitation with high trueness, yielding recoveries of 82–119% in spiked serum. These findings emphasize the importance of label selection and surface-engineering strategy in developing more reliable clinical diagnostic tests.

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