Characterizing Fluorescence Emissions of Hairpin DNA-Templated Silver Nanoclusters by cDNA Hybridization

Stem-loop hairpin DNA probes have high hybridization specificity and unique selectivity to target molecules such as DNA and small molecules. DNA-templated silver nanoclusters (DNA-AgNCs) has been widely used to detect biomolecules of interest due to the photostable, bright, and efficient methods. In this study, we measured fluorescence emission of hairpin DNA upon hybridization with cDNA and mutant cDNA (cDNA-1) or mutant cDNA containing mismatched bases in the stem region (cDNA-2). Fluorescence intensity of hairpin DNA-AgNCs in the presence of cDNA was 1.80 times higher than that of hairpin DNA-AgNCs alone, but decreased to 66% in the presence of cDNA-1 containing mismatched base corresponding to the hairpin stem region. This study demonstrated that fluorescence intensities of hairpin DNA-AgNCs were dependent on hybridization with either wild-type and mutant cDNAs.

A Hairpin DNA-Based Piezoelectric E-Nose: Exploring the Performances of Heptamer Loops for the Detection of Volatile Organic Compounds

A hairpin DNA (hpDNA) piezoelectric gas sensors array with heptamer loops as sensing elements was designed, realized, and challenged with pure volatile organic compounds VOCs and real samples (beer). The virtual binding versus five chemical classes (alcohols, aldehydes, esters, hydrocarbons, and ketones) of the entire combinatorial library of heptamer loops (16,384 elements) was studied by molecular modelling. Six heptamer loops, having the largest variance in binding the chemical classes, were selected to build the array. The six gas sensors were realized by immobilizing onto gold nanoparticles (AuNPs) via a thiol spacer the hpDNA constituted by the heptamer loops and the same double helix stem of four base pairs (GAAG at 5′ and CTTC at 3′ end). The HpDNA-AuNP was used to modify the surface of 20 MHz quartz crystal microbalances (QCMs). The realized E-nose was able to clearly discriminate among 15 pure VOCs of different chemical classes, as demonstrated by hierarchical cluster analysis. The analysis of real beer samples during fermentation was also carried out. In such a challenging matrix consisting of 23 different VOCs, the hpDNA E-nose with heptamer loops was able to discriminate among different fermentation times with high success rate. Class assignment using the Bayes theorem gave an excellent 98% correct beer samples classification in cross-validation.

Ratiometric fluorescence analysis for miR-141 detection with hairpin DNA-templated silver nanoclusters

MicroRNAs (miRNAs) are important biomarkers for diseases diagnosis and prognosis. Accurate and robust detection of miRNAs greatly facilitates the early diagnosis and progress assessment of certain cancers. The current miRNAs...