A detection method for Prorocentrum minimum by an aptamer-gold nanoparticles based colorimetric assay

Rapid and Visual Detection of Urinary Pathogens by Employing Bifunctional Deoxyribonucleic Acid Sensors and Aggregation of Gold Nanoparticles

A simple, rapid, and visual approach is developed to perform diagnosis of urinary tract infection (UTI) and antimicrobial susceptibility testing (AST) by employing smart bifunctional DNA (bfDNA) sensors, exonuclease III, concatermers of CuO nanoparticles (CuONPs), and gold NPs (AuNPs) aggregation [AuNPs agglutination (AA)], namely, the bfDEC-AA method. The bfDNA sensors serve as probes for identifying 16S rRNA genes of bacterium or 18S rRNA of fungus and as mediators connecting the concatermers of CuONPs. The AA as a signal source is triggered by Cu(I)-catalyzed azide-alkyne cycloaddition click chemistry. In this study, the urine samples are analyzed directly, eliminating the need for overnight incubation or bacterial isolation. A crucial color change from red to purple occurs at the UTI diagnostic threshold of 104 CFU mL-1; thus the results of UTI diagnosis can be qualitatively interpreted by the unaided eyes. Similarly, AST was performed visually under our optimal conditions. The color shift can also be quantified using a point-of-care (POC) device. UTI identification, bacteria strain identification, and AST were achieved within 55, 55, and 145 min for 96 samples, respectively. Here, 128 urine samples from suspected UTI patients were tested. Notably, the sensitivity and specificity of our method were 99% and 100% for Gram-negative bacteria (G-) infection, 100% and 100% for Gram-positive bacteria (G+) infection, and 98% and 100% for AST, respectively. Furthermore, the low cost of our POC device (US$156) is friendly to underdeveloped regions.

A Chromatography Test Strip of Exonuclease III-Amplified Aptamer for Rapid Identification of Prorocentrum minimum

Recently, the scale and frequency of harmful algae blooms (HABs) have gradually increased, posing a serious threat to human health, marine ecosystems and economic development. For early warning, a method is required that can quickly detect and monitor microalgae. It is proposed to use aptamer targeted to Prorocentrum minimum, along with exonuclease III (Exo III), gold nanoparticles, target single-stranded DNA and hairpin structure probe to construct a new method, i.e. aptamer-lateral flow dipstick (LFD) based on Exo III-assisted signal amplification assay (ALBEA). The key conditions, including signal amplification and LFD detection, are optimized. Under the optimal conditions, the detection limit of ALBEA was 1.25 cells mL-1. The cross-reactivity test showed no positive result except for P. minimum, indicating that the method is highly specific. The anti-interference test confirmed that the technique was not affected by the presence of other microalgae. The tested results of P. minimum cultured under different nutrient conditions and different growth stages demonstrated that the method is not affected by the cell state. Furthermore, the test results of simulated natural water samples further validated the practicality of the ALBEA. In conclusion, the established ALBEA offers a sensitive, specific and user-friendly tool, which can be used for the rapid detection of P. minimum and also provides a reference for the detection of other microalgae.

Nanozyme-catalyzed and zwitterion-modified swabs based for the detection of Listeria monocytogenes in complex matrices

In recent years, nanozymes have been widely used in the field of biosensing and food safety testing due to their advantages of low cost, high stability, easy modification and adjustable catalytic activity. However, how to reduce the signal interference generated by reducing substances, macromolecules and colored substances in the food matrix in nanozymes-based colorimetric sensing is still a major challenge. In this paper, using Listeria monocytogenes as a model analyte, sodium sulfonyl methacrylate (SBMA) polymers were modified onto cotton swabs by photothermal polymerization and combined with Listeria monocytogenes-specific aptamer (Apt1) to prepare swabs that can specifically capture and isolate Listeria monocytogenes from complex matrices (SBMA/Apt1 cotton swab). In addition, in combination with the inhibitory effect of the aptamer (Apt2) on the oxidase activity of Mn3O4 NPs, a colorimetric biosensor based on nanozymes that can quantitatively, sensitively, and specifically identify Listeria monocytogenes in food products was constructed. The results showed that the colorimetric signal of the method was linear with the concentration of Listeria monocytogenes in the range of 2.83-2.83 × 105 CFU/mL, and the limit of detection was 2.64 CFU/mL, which can be used for the detection of Listeria monocytogenes in complex environments and food samples.

From Lab to Life: Self-Powered Sweat Sensors and Their Future in Personal Health Monitoring

The rapid development of wearable sweat sensors has demonstrated their potential for continuous, non-invasive disease diagnosis and health monitoring. Emerging energy harvesters capable of converting various environmental energy sources-biomechanical, thermal, biochemical, and solar-into electrical energy are revolutionizing power solutions for wearable devices. Based on self-powered technology, the integration of the energy harvesters with wearable sweat sensors can drive the device for biosensing, signal processing, and data transmission. As a result, self-powered sweat sensors are able to operate continuously without external power or charging, greatly facilitating the development of wearable electronics and personalized healthcare. This review focuses on the recent advances in self-powered sweat sensors for personalized healthcare, covering sweat sensors, energy harvesters, energy management, and applications. The review begins with the foundations of wearable sweat sensors, providing an overview of their detection methods, materials, and wearable devices. Then, the working mechanism, structure, and a characteristic of different types of energy harvesters are discussed. The features and challenges of different energy harvesters in energy supply and energy management of sweat sensors are emphasized. The review concludes with a look at the future prospects of self-powered sweat sensors, outlining the trajectory of the field and its potential to flourish.

Enhanced detection of acetamiprid via a gold nanoparticle-based colorimetric aptasensor integrated with a hybridization chain reaction

This study presents a novel colorimetric aptasensor, which seamlessly integrates gold nanoparticles (AuNPs) with the amplification potential of the hybridization chain reaction (HCR) for enhanced detection of acetamiprid. The aptamer, hybridized with a partially complementary strand that is covalently linked to AuNPs, serves as the recognition element for acetamiprid. The free end sequence of the aptamer, distal from the AuNP surface, functions as the initiating strand for the HCR, triggering the amplification process. In the absence of acetamiprid, the HCR efficiently occurs, conferring robust salt tolerance to the AuNPs and maintaining their characteristic red coloration. However, in the presence of acetamiprid, the aptamer preferentially binds to its target, disrupting the double-stranded structure and leading to the dissociation of the aptamer from the AuNPs. This dissociation results in a decrease in the HCR product, subsequently diminishing the salt tolerance of AuNPs and triggering a colorimetric transition from red to gray. This integration enhances sensitivity to 3.14 nM. Additionally, carbon quantum dots (CQDs) transduce colorimetric signals to fluorescent ones, further boosting the sensitivity to 0.24 nM. The aptasensor exhibits excellent selectivity and robustness. Real-world testing on tomato, peach, and lettuce shows recoveries of 98.50% to 100.36% with low standard deviations, validating its utility for pesticide residue analysis and food safety. This study provides a powerful tool for rapid and accurate pesticide detection, crucial for food safety.

Detection ofmiRNA-378based on a catalytic hairpin self-assembly reaction combined with gold nanoparticle colorimetry

Recent studies have shown that abnormalmiRNA-378expression is a rule, rather than an exception, in cervical cancer and can be used as a diagnostic and prognostic biomarker to assess tumor initiation. In this study, we developed a general, sensitive strategy for detectingmiRNA-378using catalytic hairpin self-assembly (CHA) combined with gold nanoparticles (AuNP) colorimetry. The presence ofmiRNA-378triggers the repeated self-assembly of two designed hairpin DNAs (H1 and H2) into dsDNA polymers, which leads to changes in the surface plasmon resonance absorption band and the macroscopic color of the AuNP colloids due to the formation of nanoparticle-DNA conjugates. This experimental phenomenon can be observed by ultraviolet-visible spectrometry or even with the naked eye. Using this method,miRNA-378could be quantitatively detected at the picomolar level (as low as 20.7 pM). Compared with traditional methods, such as quantitative polymerase chain reaction and RNA blotting, this strategy has a simple operation, low cost, and high sensitivity and selectivity, and thus, exhibits significant potential for miRNA detection.

Alginic acid-functionalized silver nanoparticles: A rapid monitoring tool for detecting the technology-critical element tellurium

The increasing global demand for tellurium, driven by its critical role in alloys, photovoltaic devices, and electronics, has raised concerns about its environmental pollution and neurotoxicity. In response, the potential of alginic acid (AA), a renewable, low-cost, and sustainable biopolymer, was explored for the biosynthesis of ultra-small silver nanoparticles (AgNPs) and their application in the detection of tellurium (Te(IV)). The effect of key synthesis parameters on desired physicochemical properties and yield of AgNPs was established to ensure high specificity and sensitivity towards Te(IV). The purified AgNPs with AA surface ligands were utilized to demonstrate a ratiometric absorbance sensor that exhibits excellent linearity and nanomolar-level affinity. This approach achieved a high correlation coefficient of ∼ 0.982, with a low detection limit of about 22 nM. Further investigations into the effect of pH, ionic strength, and organic molecules were conducted to elucidate detection performance and molecular understanding. The detection mechanism relies on the coordination between Te(IV) ions and the carboxylate groups of AA, which initiates aggregation-induced plasmon coupling in adjacent AgNPs. The capability of this analytical method to monitor Te(IV) in real-world water samples features its rapidity, user-friendliness, and suitability for point-of-care monitoring, making it a promising alternative to more complex techniques.

A multiple signal amplification photoelectrochemical biosensor based on biotin-avidin system for kanamycin sensing in fish and milk via synergism of g-C3N4 and Ru@SiO2

BACKGROUND

The residues of kanamycin can accumulate in the human body for a long time and pose serious health risks, including hearing loss, kidney poisoning, and drug allergic reactions. Therefore, it is crucial to develop a rapid, highly sensitive, and low-cost method for detecting kanamycin residues in foods. However, the current methods have limitations such as low sensitivity, expensive instruments, and multiple steps, which make them impractical for use in resource-limited environments and emergencies. In this study, the creation of a multiple-signal amplification photoelectrochemical biosensor to address these aforementioned issues is discussed.

RESULTS

Herein, we proposed a multiple signal amplification photoelectrochemical (PEC) biosensor based on carboxylated g-C3N4 and avidin functionalized Ru@SiO2 for the ultrasensitive detection of kanamycin. The carboxylated g-C3N4 was a highly efficient photoactive substance for amplifying photoelectric signals and a substrate for aptamer immobilization. The DOS and PDOS of g-C3N4 were studied by simulation, and the sensing mechanism of the probe at the molecular level was revealed. Meanwhile, using Ru@SiO2 as a signal amplifying unit, through the cooperative work between Ru@SiO2 and g-C3N4, the photoelectric signal could be double amplified to produce an excellent photocurrent response. Under optimized conditions, the photocurrent response of the PEC biosensor to kanamycin was obtained at concentrations from 0.1 nM to 1000 nM with a lower detection limit of 4.1052 × 10-11 mol L-1. This protocol demonstrates high sensitivity, brilliant specific recognition ability, excellent reproducibility, and acceptable stability.

SIGNIFICANCE

The first combination of g-C3N4 and avidin-Ru@SiO2 as photocurrent materials greatly enhanced the sensitivity of the PEC biosensors. Moreover, the specificity and sensitivity of the PEC biosensor were further improved through the specific interaction between kanamycin and aptamer. The photoelectric conversion mechanism based on g-C3N4 and two pathways for enhancing the photocurrent by Ru(byp)32+ were proposed. Through simulations of the DOS and PDOS of g-C3N4, the sensing mechanism of the probe at the molecular level was revealed. Under the optimum conditions, the PEC biosensor exhibited a wide linear concentration range and a low detection limit.