Locomotion of Micromotors Due to Liposome Disintegration.

Synthetic micromotors are evaluated extensively in a range of biomedical, microscale transport, and environmental applications. Fundamental insight into micromotors that exhibit locomotion due to triggered disintegration of their associated liposomes is provided. Directed self-propulsion is observed when the lipid vesicles are solubilized using Triton X-100 (TX) and bile at sufficiently high concentrations. Directional motion, initiated by a propagating TX or bile gradient, is found when using a sufficiently high concentration of solubilization agents. On the other hand, a low bile concentration results in short-term reverse directional motion. The experimental and theoretical considerations offer valid fundamental understanding to complement the list of explored locomotion mechanisms for micromotors.

Digitalization of Colorimetric Sensor Technologies for Food Safety.

Colorimetric sensors play a crucial role in promoting on-site testing, enabling the detection and/or quantification of various analytes based on changes in color. These sensors offer several advantages, such as simplicity, cost-effectiveness, and visual readouts, making them suitable for a wide range of applications, including food safety and monitoring. A critical component in portable colorimetric sensors involves their integration with color models for effective analysis and interpretation of output signals. The most commonly used models include CIELAB (Commission Internationale de l'Eclairage), RGB (Red, Green, Blue), and HSV (Hue, Saturation, Value). This review outlines the use of color models via digitalization in sensing applications within the food safety and monitoring field. Additionally, challenges, future directions, and considerations are discussed, highlighting a significant gap in integrating a comparative analysis toward determining the color model that results in the highest sensor performance. The aim of this review is to underline the potential of this integration in mitigating the global impact of food spoilage and contamination on health and the economy, proposing a multidisciplinary approach to harness the full capabilities of colorimetric sensors in ensuring food safety.

UiO-66-NH2 Metal-Organic Framework for the Detection of Alzheimer's Biomarker Aß (1-42).

Neurodegenerative disorders pose a significant challenge to global healthcare, with Alzheimer's disease (AD) being one of the most prevalent forms. Early and accurate detection of amyloid-ß (Aß) (1-42) monomers, a key biomarker of AD pathology, is crucial for effective diagnosis and intervention of the disease. Current gold standard detection techniques for Aß include enzyme-linked immunosorbent assay and surface plasmon resonance. Although reliable, they are limited by their cost and time-consuming nature, thus restricting their point-of-care applicability. Here we present a sensitive and rapid colorimetric sensor for the detection of Aß (1-42) monomers within 5 min. This was achieved by harnessing the peroxidase-like activity of metal-loaded metal-organic frameworks (MOFs), specifically UiO-66-NH2, coupled with the strong affinity of Aß (1-42) to the MOFs. Various metal-loaded MOFs were synthesized and investigated, and platinum-loaded UiO-66-NH2 was identified as the optimal candidate for our purpose. The Pt-loaded UiO-66-NH2 sensor demonstrated detection limits of 2.76 and 4.65 nM Aß (1-42) monomers in water and cerebrospinal fluid, respectively, with a linear range from 0.75 to 25 nM (R2 = 0.9712), outperforming traditional detection techniques in terms of both detection time and complexity. Moreover, the assay was specific toward Aß (1-42) monomers when evaluated against interfering compounds. The rapid and cost-effective sensor may help circumvent the limitations of conventional detection methods, thus providing a promising avenue for early AD diagnosis and facilitating improved clinical outcomes.

Paper-based sensors for bacteria detection.

The detection of pathogenic bacteria is essential to prevent and treat infections and to provide food security. Current gold-standard detection techniques, such as culture-based assays and polymerase chain reaction, are time-consuming and require centralized laboratories. Therefore, efforts have focused on developing point-of-care devices that are fast, cheap, portable and do not require specialized training. Paper-based analytical devices meet these criteria and are particularly suitable to deployment in low-resource settings. In this Review, we highlight paper-based analytical devices with substantial point-of-care applicability for bacteria detection and discuss challenges and opportunities for future development.

Sensitivity and Selectivity Analysis of Fluorescent Probes for Hydrogen Sulfide Detection.

Hydrogen sulfide (H2 S) is a gasotransmitter known to regulate physiological and pathological processes. Abnormal H2 S levels have been associated with a range of conditions, including Parkinson's and Alzheimer's diseases, cardiovascular and renal diseases, bacterial and viral infections, as well as cancer. Therefore, fast and sensitive H2 S detection is of significant clinical importance. Fluorescent H2 S probes hold great potential among the currently developed detection methods because of their high sensitivity, selectivity, and biocompatibility. However, many proposed probes do not provide a gold standard for proper use and selection. Consequently, issues arise when applying the probes in different conditions. Therefore, we systematically evaluated four commercially available probes (WSP-1, WSP-5, CAY, and P3), considering their detection range, sensitivity, selectivity, and performance in different environments. Furthermore, their capacity for endogenous H2 S imaging in live cells was demonstrated.

Nanoparticle-based colorimetric sensors to detect neurodegenerative disease biomarkers.

Neurodegenerative disorders (NDDs) are progressive, incurable health conditions that primarily affect brain cells, and result in loss of brain mass and impaired function. Current sensing technologies for NDD detection are limited by high cost, long sample preparation, and/or require skilled personnel. To overcome these limitations, optical sensors, specifically colorimetric sensors, have garnered increasing attention towards the development of a cost-effective, simple, and rapid alternative approach. In this review, we evaluate colorimetric sensing strategies of NDD biomarkers (e.g. proteins, neurotransmitters, bio-thiols, and sulfide), address the limitations and challenges of optical sensor technologies, and provide our outlook on the future of this field.

Modulating nitric oxide-generating activity of zinc oxide by morphology control and surface modification.

Zinc oxide (ZnO) has emerged as a promising material for nitric oxide (NO) delivery owing to its intrinsic enzyme-mimicking activities to catalyze NO prodrugs S-nitrosoglutathione (GSNO) and ß-gal-NONOate for NO generation. The catalytic performance of enzyme mimics is strongly dependent on their size, shape, and surface chemistry; however, no studies have evaluated the influence of the aforementioned factors on the NO-generating activity of ZnO. Understanding these factors will provide an opportunity to tune NO generation profiles to accommodate diverse biomedical applications. In this paper, for the first time, we demonstrate that the activity of ZnO towards catalytic NO generation is shape-dependent, resulting from the different crystal growth directions of these particles. We modified the surfaces of ZnO particles with zeolitic imidazolate framework (ZIF-8) by in situ synthesis and observed that ZnO/ZIF-8 retained 60% of its NO-generating potency. The newly formed ZnO/ZIF-8 particles were shown to catalytically decompose both endogenous (GSNO) and exogenous (ß-gal-NONOate and S-nitroso-N-acetylpenicillamine (SNAP)) prodrugs to generate NO at physiological conditions. In addition, we design the first platform that combines NO-generating and superoxide radical scavenging properties by encapsulating a natural enzyme, superoxidase dismutase (SOD), into ZnO/ZIF-8 particles, which holds great promise towards combinatorial therapy.

Peptide-Mediated Liposome Fusion as a Tool for the Detection of Matrix Metalloproteinases.

Biological cells continue to inspire the development of technologies toward rapid, sensitive, and selective detection of analytes. Membrane fusion is a key biological event in living cells that involves a highly selective recognition mechanism controlled by different functional proteins. Herein, liposome-liposome fusion mediated by coiled-coil forming peptides JR2EC and JR2KC to mimic biological membrane fusion is reported. The liposome fusion event is monitored through fluorescence generation and this mechanism forms the basis of a detection assay for matrix metalloproteinases (MMPs), which are key homeostatic proteases. Using this approach, a limit of detection of 0.35 µg mL-1 MMP-7 in biological samples is obtained, and this assay does not require washing, separation, or amplification steps. The developed tool could be extended for the detection of other proteolytic enzymes of the MMP family (diagnostic or prognostic markers) and has the potential for screening of peptide libraries against a target of interest.

Peptide-induced super-assembly of biocatalytic metal-organic frameworks for programmed enzyme cascades.

Despite the promise of metal-organic frameworks (MOFs) as functional matrices for enzyme stabilization, the development of a stimulus-responsive approach to induce a multi-enzyme cascade reaction in MOFs remains a critical challenge. Here, a novel method using peptide-induced super-assembly of MOFs is developed for programmed enzyme cascade reactions on demand. The super-assembled MOF particles containing different enzymes show remarkable 7.3-fold and 4.4-fold catalytic activity enhancements for the two-enzyme and three-enzyme cascade reactions, respectively, as compared with the unassembled MOF nanoparticles. Further digestion of the coiled-coil forming peptides on the MOF surfaces leads to the MOF superstructure disassembly and the programmed enzyme cascade reaction being "switched-off". Research on these stimuli-responsive materials with controllable and predictable biocatalytic functions/properties provide a concept to facilitate the fabrication of next-generation smart materials based on precision chemistry.

Liposomes and lipid bilayers in biosensors.

Biosensors for the rapid, specific, and sensitive detection of analytes play a vital role in healthcare, drug discovery, food safety, and environmental monitoring. Although a number of sensing concepts and devices have been developed, many longstanding challenges to obtain inexpensive, easy-to-use, and reliable sensor platforms remain largely unmet. Nanomaterials offer exciting possibilities for enhancing the assay sensitivity and for lowering the detection limits down to single-molecule resolution. In this review, we present an overview of liposomes and lipid bilayers in biosensing applications. Lipid assemblies in the form of spherical liposomes or two-dimensional planar membranes have been widely used in the design of biosensing assays; in particular, we highlight a number of recent promising developments of biosensors based on liposomes in suspension, liposome arrays, and lipid bilayers arrays. Assay sensitivity and specificity are discussed, advantages and drawbacks are reviewed, and possible further developments are outlined.