Pteridines are important low molecular weight biomarkers used in the diagnostics of inflammation, oxidative stress, phenylketonuria, cancer, etc. In this experimental study, we present a simple and selective approach to determine pteridines (pterin, leucopterin and folic acid) and nucleobase guanine concentration using luminescent gold clusters stabilized by aromatic amino acids. We synthesized several new gold clusters (AA-Au NCs) stabilized by various aromatic amino acids - 3,4-dihydroxy-L-phenylalanine (DOPA), L-tryptophan (Trp), L-tyrosine (Tyr) and L-phenylalanine (Phe), emitting in the violet-green spectral range. Their luminescence appeared to be sensitive to the presence of pterin, leucopterin, folic acid and guanine depending on the stabilizing matrix. Thus, a facile and cost-effective approach for the detection of pteridines is proposed. AA-Au NC-based sensors work according to "turn-off" and "turn-on" mechanisms. The possible physical origins of their luminescence quenching and enhancement are discussed.
The nanoparticle-enhanced laser-induced breakdown spectroscopy (NELIBS) technique has attracted much attention because of its significant spectral enhancement as well as the reduction of spectral noise. More NELIBS studies have focused on the effect of nanoparticles on spectral intensity and the optimization of experiments. NELIBS has not been studied for the detection of cement raw material components and the repeatability of quantitative analysis. In this paper, the effect of NELIBS on the spectral quality as well as the repeatability of the quantitative analysis of cement raw materials is investigated. The effects of different AuNP sizes and volumes on LIBS brought about by pre-ablation were compared and modeled for quantitative analysis. The results showed that the signal-to-noise ratio (SNR) of NELIBS spectra after pre-ablation was improved from 2.72 to 7.81, and the relative standard deviations (RSDs) of CaO, SiO2, Al2O3, and Fe2O3 in cement raw materials were reduced by 47%, 30%, 31%, and 33%, respectively. In summary, this paper provides a comprehensive discussion and comparison of AuNPs versus LIBS for quantitative analysis of cement raw material components, and also provides a new solution for quantitative analysis of cement raw materials.
Protein S-acylation is an important lipid modification and plays a series of biological functions. As a classic proteomic method for S-acylated proteome analysis, the acyl-biotin exchange and its derivative methods are known to be very labour-intensive and time-consuming all the time, and will result in significant sample loss. Multiple methanol-chloroform precipitations are involved in order to remove the substances that would interfere with enrichment and identification including detergents, the residual reduction and alkylation reagents. Here, we developed a rapid and convenient method for S-acylation proteomics by combining a dissolvable tube gel and the classic ABE method, a Dissolvable Gel based One-Tube sample Treatment method (DGOTT) method. The protein fixation rate, impact of the gel size on analysis performance and feasibility for analyzing complex samples were evaluated. This method enabled the alkylation and chemical substitution reactions to be conducted in a single EP tube, and convenient removal of interferents through gel washing, which could obviously simplify operations and shorten the sample treatment duration. Finally, we identified a total of 1625 potential S-acylated proteins from 800 μg of mouse brain cerebral cortex proteins. We believe that our method could offer potential for high-throughput analysis of protein S-acylation.
Hepatitis B virus (HBV) acts as a severe public health threat, causing chronic liver diseases. Although the quantified evaluation of HBV infection can be obtained by estimating the capacity of the HBV DNA genome, it still lacks an effective and robust detection method without using enzymes or chemical labeling. Herein, we have designed a binary split fluorescent DNA aptasensor (bsFDA) by rationally splitting the lettuce aptamer into two functional DNA short chains and utilizing the HBV DNA segment complementary sequences (HDs). In this strategy, the bsFDA has been investigated to specifically recognize the HDs, forming a triplex DNA with the lettuce aptamer structure. Meanwhile, the turn-on fluorescence of bsFDA is obtained upon formation of a fluorescent complex between DFHO and the triplex DNA structure, allowing the enzyme-free, label-free, fast-responsive, and reliable fluorescence readout for detecting HDs and the potential HDs mutants. Moreover, bsFDA has been applied for spiked HDs analysis in different real matrixes, including human serum and cell lysate. The satisfactory recovery rates and reproducibility of the bsFDA reveal its potential detection efficacy for HDs analysis in biological samples. Overall, bsFDA holds great potential in developing functionalized aptasensors and realizing viral genome analysis in biological research.
Taking into account the drug resistance of antibiotics, teicoplanin has been banned in the veterinary field. Also, it brings threat to people's health when they eat foods containing teicoplanin residue. In addition, the abuse of teicoplanin in humans and food animals also poses a potential risk to water. Therefore, it is crucial to purify teicoplanin from food before quantifying its amount. In this study, researchers employed boronate affinity-based controlled oriented surface imprinting technique to produce molecularly imprinted polymers (MIPs) for the isolation of teicoplanin. The 3-fluoro-4-formylphenylboronic acid-functionalized silica nanoparticle substrate was first used as the supporting material for immobilizing teicoplanin. Next, the substrate surface was coated with an imprinting coating whose thickness could be controlled, produced through the self-copolymerization of dopamine and m-aminophenylboronic acid (APBA) in water. After the template was removed, 3D cavities that matched the template were created in the imprinting layer. The prepared teicoplanin-imprinted silica nanoparticles exhibited several significant satisfactory results such as good specificity, high binding capacity (46.9 ± 2.3 mg g-1), moderate binding constant ((5.46 ± 0.18) × 10-5 M-1), fast kinetics (8 min) and low binding pH (pH 5.0) toward teicoplanin. The teicoplanin-imprinted silica nanoparticles could still be reused after seven cycles of adsorption-desorption, which indicated a high chemical stability. In addition, recoveries of the proposed method for teicoplanin at three spiked levels in milk and water ranged from 91.8 to 105.6% and 92.3 to 97.4%, respectively. The teicoplanin-imprinted silica nanoparticles are capable of identifying the target teicoplanin in real samples in a simple, fast, selective and efficient manner.