Sequential Determination of Cd, Co, Cu, Fe, Mg, Mn, Ni, Pb, and Zn in Powdered Refreshments by FS-F AAS After a Simple Sample Treatment

Label-free competitive time-resolved fluorescent aptasensor for the detection of Pb2+ using ssDNA-sensitized fluorescence of Tb3+ ions

Lead (Pb2+) is one of the most toxic heavy metals, and its environmental pollution and serious damages is a global concern. Therefore, it is necessary to develop effective sensing methods. This study describes a new strategy for the design of label-free competitive time-resolved fluorescent (TRF) aptasensor for detecting Pb2+ ions. The sensing principle of this aptasensor is the competition between Pb2+ and Tb3+ ions to bind to the guanine/thymine-rich sequence (lead aptamer) and the sensitized luminescence of Tb3+ by this sequence. The developed TRF aptasensor demonstrated a good linear detection range from 2.5 nM to 150 nM and a limit of detection (LOD) of 645 pM. In addition, the proposed TRF aptasensor has a high selectivity towards Pb2+, and it has also been successfully utilized to detect this ion in milk and human serum samples. This TRF aptasensor offers advantages such as short analysis time, simple operation, low cost, being label-free, and surpassing the interference of background fluorescence of biological samples due to its TRF characteristic. In this paper, we propose a Tb3+/guanine/thymine-rich sequence system for designing different aptasensors against diverse targets by applying a proper guanine-rich sequence.

A convenient fluorescent/electrochemical dual-mode biosensor for accurate detection of Pb2+ based on DNAzyme cycle

The presence of heavy metals in the ecological environment is a serious threat to human health. Therefore, it is very important to establish a simple and sensitive method for the detection of heavy metals. Currently, most of the methods are single-channel sensing, and these methods are prone to false-positive signals, which reduces the accuracy. In this work, Pb²⁺-DNAzyme was immobilized on magnetic beads (MBs) using a linkage of biotin and streptavidin and successfully applied to the construction of a fluorescent/electrochemical dual-mode (DM) biosensor. The supernatant after magnetic separation formed a double strand on the electrode, which was combined with methylene blue (MB) for electrochemical detection (EC). At the same time, FAM-d was added to the precipitate, and after magnetic separation, the supernatant was subjected to fluorescent detection (FL). Under optimal conditions, the signal response of the constructed dual-mode biosensor showed a good linear relationship with the concentration of Pb²⁺. The DNAzyme-based dual-mode biosensor achieved sensitive and selective detection of Pb²⁺ with good accuracy and reliability, opening a new way for the development of biosensing strategies for the detection of Pb²⁺. More importantly, the sensor has high sensitivity and accuracy for the detection of Pb²⁺ in actual sample analysis.

An efficient electrochemical biosensor for the detection of heavy metal lead in food based on magnetic separation strategy and Y-DNA structure

Herein, an electrochemical biosensor was developed based on a magnetic separation strategy for the sensitive detection of the heavy metal Pb²⁺. The specific binding of Pb²⁺ and the aptamer (Apt) is used to trigger the release of the complementary chain (cDNA) on the magnetic bead system. The cDNA completes base complementary pairing with hairpins HP1 and HP2 at the electrode to form a Y-DNA structure. Then, the Y-DNA runs continuously with the assistance of the signal tag methylene blue (MB) and the current signal increases. However, in the absence of Pb²⁺, cDNA cannot be released and the Y-DNA structure cannot be formed on the electrode, resulting in a relatively low current signal. Under the optimal experimental conditions, the reduced peak current difference (ΔI) showed a good linear relationship with lg C_Pb²⁺ between 0.1 and 1000 nM, with a detection limit of 5.9 pM. In addition, the stability, reproducibility and detection capability of the sensors were investigated with satisfactory results.

Characterization of the spatial and temporal distribution of lead around a battery industrial park by LA-SPAMS

A convenient technique for direct solids analysis, laser ablation single particle aerosol mass spectrometry (LA-SPAMS), was used to investigate lead and other components in soil and bark samples from around a battery industrial park. In total, over 50,000 particles ranging in size from 0.2 to 2 μm were sampled and approximately 15-35% of the particles were analyzed for chemical composition. The mean mass spectrum results showed that the intensity of lead varied widely among sampling points, reaching the highest intensity in the topsoil and bark at sampling point 4, located closest to the core factory. Based on the neural network algorithm of adaptive resonance theory (ART-2a), the topsoil and bark samples were classified into five categories: crustal composition (Ca⁺, silicates, aluminates, etc.), elemental carbon (C₂^-, C₃^-, C₄^-, etc.), organic carbon (CN^-, levoglucosan, etc.), secondary inorganic sources (phosphates, nitrates, sulfates), and heavy metals (Pb⁺, Zn⁺, Cu⁺), with the proportion of Pb varying from 0.020 to 0.25% and 0.030-9.41% in topsoil and bark samples, respectively, while the proportion of Cu and Zn in topsoil and bark samples did not differ as greatly as Pb. In addition, the particle number concentrations of lead particles in topsoil and bark ranged from 0.14 to 3.48% and 0.36-37.93%, respectively. The concentrations of Pb in topsoil and bark samples measured by ICP-OES varied from 71 to 791 ppm and 172-2595 ppm, respectively. Overall, both the lead content in topsoil samples measured by LA-SPAMS and ICP-OES reached maximum values at sampling points 4 and 5, respectively, indicating moderate pollution with Pb at these two sites. This convenient LA-SPAMS method not only accurately detects the composition of solid samples, the mixing state of particulate matter, and the analytical component sources, but also omits tedious pretreatment steps, reduces the use of organic solvents, and shortens the detection time of solid samples, thereby providing an attractive method for soil environmental quality monitoring.