A Fully Elastic Wearable Electrochemical Sweat Detection System of Tree-Bionic Microfluidic Structure for Real-Time Monitoring.

Fresh sweat contains a diverse range of physiological indicators that can effectively reflect changes in the body. However, existing wearable sweat detection systems face challenges in efficiently collecting and detecting fresh sweat in real-time. Additionally, they often lack the necessary deformation capabilities, resulting in discomfort for the wearer. Here, a fully elastic wearable electrochemical sweat detection system is developed that integrates a sweat-collecting microfluidic chip, a multi-parameter electrochemical sensor, a micro-heater, and a sweat detection elastic circuit board system. The unique tree-bionic structure of the microfluidic chip significantly enhances the efficiency of fresh sweat collection and discharge, enabling real-time detection by the electrochemical sensors. The sweat multi-parameter electrochemical sensor offers high-precision and high-sensitivity measurements of sodium ions, potassium ions, lactate, and glucose. The electronic system is built on an elastic circuit board that matches perfectly to wrinkled skin, ensuring improved wearing comfort and enabling multi-channel data sampling, processing, and wireless transmission. This state-of-the-art system represents a significant advancement in the field of elastic wearable sweat detection and holds promising potential for extending its capabilities to the detection of other sweat markers or various wearable applications.

Erythrocyte Membrane Camouflaged Nanotheranostics for Optical Molecular Imaging-Escorted Self-Oxygenation Photodynamic Therapy.

Hypoxic tumor microenvironment (TME) hampers the application of oxygen (O2 )-dependent photodynamic therapy (PDT) in solid tumors. To address this problem, a biomimetic nanotheranostics (named MMCC@EM) is developed for optical molecular imaging-escorted self-oxygenation PDT. MMCC@EM is synthesized by encapsulating chlorin e6 (Ce6) and catalase (CAT) in metal-organic framework (MOF) nanoparticles with erythrocyte membrane (EM) camouflage. Based on the biomimetic properties of EM, MMCC@EM efficiently accumulates in tumor tissues. The enriched MMCC@EM achieves TME-activatable drug release, thereby releasing CAT and Ce6, and this process can be monitored through fluorescence (FL) imaging. In addition, endogenous hydrogen peroxide (H2 O2 ) will be decomposed by CAT to produce O2 , which can be reflected by the measurement of intratumoral oxygen concentration using photoacoustic (PA) imaging. Such self-oxygenation nanotheranostics effectively mitigate tumor hypoxia and improve the generation of singlet oxygen (1 O2 ). The 1 O2 disrupts mitochondrial function and triggers caspase-3-mediated cellular apoptosis. Furthermore, MMCC@EM triggers immunogenic cell death (ICD) effect, leading to an increased infiltration of cytotoxic T lymphocytes (CTLs) into tumor tissues. As a result, MMCC@EM exhibits good therapeutic effects in 4T1-tumor bearing mice under the navigation of FL/PA duplex imaging.

Tryptophan catabolism via the kynurenine pathway regulates infection and inflammation: from mechanisms to biomarkers and therapies.

BACKGROUND: L-Tryptophan (L-Trp), an essential amino acid, is the only amino acid whose level is regulated specifically by immune signals. Most proportions of Trp are catabolized via the kynurenine (Kyn) pathway (KP) which has evolved to align the food availability and environmental stimulation with the host pathophysiology and behavior. Especially, the KP plays an indispensable role in balancing the immune activation and tolerance in response to pathogens. SCOPE OF REVIEW: In this review, we elucidate the underlying immunological regulatory network of Trp and its KP-dependent catabolites in the pathophysiological conditions by participating in multiple signaling pathways. Furthermore, the KP-based regulatory roles, biomarkers, and therapeutic strategies in pathologically immune disorders are summarized covering from acute to chronic infection and inflammation. MAJOR CONCLUSIONS: The immunosuppressive effects dominate the functions of KP induced-Trp depletion and KP-produced metabolites during infection and inflammation. However, the extending minor branches from the KP are not confined to the immune tolerance, instead they go forward to various functions according to the specific condition. Nevertheless, persistent efforts should be made before the clinical use of KP-based strategies to monitor and cure infectious and inflammatory diseases.

Integrated Smart Gas Tracking Device with Artificially Tailored Selectivity for Real-Time Monitoring Food Freshness.

The real-time monitoring of food freshness in refrigerators is of significant importance in detecting potential food spoiling and preventing serious health issues. One method that is commonly reported and has received substantial attention is the discrimination of food freshness via the tracking of volatile molecules. Nevertheless, the ambient environment of low temperature (normally below 4 °C) and high humidity (90% R.H.), as well as poor selectivity in sensing gas species remain the challenge. In this research, an integrated smart gas-tracking device is designed and fabricated. By applying pump voltage on the yttria-stabilized zirconia (YSZ) membrane, the oxygen concentration in the testing chamber can be manually tailored. Due to the working principle of the sensor following the mixed potential behavior, distinct differences in sensitivity and selectivity are observed for the sensor that operated at different oxygen concentrations. Typically, the sensor gives satisfactory selectivity to H2S, NH3, and C2H5OH at the oxygen concentrations of 10%, 30%, and 40%, respectively. In addition, an acceptable response/recovery rate (within 24 s) is also confirmed. Finally, a refrigerator prototype that includes the smart gas sensor is built, and satisfactory performance in discriminating food freshness status of fresh or semi-fresh is verified for the proposed refrigerator prototype. In conclusion, these aforementioned promising results suggest that the proposed integrated smart gas sensor could be a potential candidate for alarming food spoilage.

Magnetic frequency mixing technological advances for the practical improvement of point-of-care testing.

Nanomaterials, especially superparamagnetic nanomaterials, have recently played essential roles in point-of-care testing due to their intrinsic magnetic, electrochemical, and optical properties. The inherent superparamagnetism of magnetic nanoparticles makes them highly sensitive for quantitative detection. Among the various magnetic detection technologies, frequency mixing technology (FMT) technology is an emerging detection technique in the nanomedical field. FMT sensors have high potential for development in the field of biomedical quantitative detection due to their simple structure, and they are not limited to the materials used. In particular, they can be applied for large-scale disease screening, early tumor marker detection, and low-dose drug detection. This review summarizes the principles of FMT and recent advances in the fields of immunoadsorption, lateral flow assay detection, magnetic imaging, and magnetic nanoparticles recognition. The advantages and limitations of FMT sensors for robust, ultrasensitive biosensing are highlighted. Finally, the future requirements and challenges in the development of this technology are described. This review provides further insights for researchers to inspire the future development of FMT by integration into biosensing and devices with a broad field of applications in analytical sensing and clinical usage.

Nanozyme enhanced magnetic immunoassay for dual-mode detection of gastrin-17.

In this study, we developed a novel magnetic lateral flow assay based on iron oxide decorated with platinum probes (Fe3O4@Pt) for dual-mode detection of gastrin-17 (G-17), which is one of the main biomarkers for early gastric cancer diagnosis. The probe material exhibits both magnetic properties and peroxidase activity. The peroxidase activity enhances the intensity of the brownish coloring of the Fe3O4@Pt probes on the test strip, with a limit of detection of 10 pg mL-1 using the naked eye, which is remarkable for colorimetric lateral flow assays. The magnetic property allows the simple separation and enrichment of the sample, and the signal can be read using a magnetic assay reader for quantitative detection. The linear range for G-17 using the magnetic signal was determined as 10 pg mL-1 to 2200 pg mL-1, and the calculated limit of detection was as low as 3.365 pg mL-1, thereby covering the reference range for G-17. Serum samples were used to validate the test strip, which exhibited high sensitivity, high specificity, and consistency with the results obtained by the enzyme-linked immunosorbent assay method. The entire inspection process using this method can produce results within 35 min and it is simple to operate without requiring strict experimental conditions. This dual-mode lateral flow test strip provides a simple, rapid, and quantitative strategy for detecting G-17, and it may also be valuable in other portable diagnostic applications.

Rapid segmentation and sensitive analysis of CRP with paper-based microfluidic device using machine learning.

Microfluidic paper-based analytical devices (µPADs) have been widely used in point-of-care testing owing to their simple operation, low volume of the sample required, and the lack of the need for an external force. To obtain accurate semi-quantitative or quantitative results, µPADs need to respond to the challenges posed by differences in reaction conditions. In this paper, multi-layer µPADs are fabricated by the imprinting method for the colorimetric detection of C-reactive protein (CRP). Different lighting conditions and shooting angles of scenes are simulated in image acquisition, and the detection-related performance of µPADs is improved by using a machine learning algorithm. The You Only Look Once (YOLO) model is used to identify the areas of reaction in µPADs. This model can observe an image only once to predict the objects present in it and their locations. The YOLO model trained in this study was able to identify all the reaction areas quickly without incurring any error. These reaction areas were categorized by classification algorithms to determine the risk level of CRP concentration. Multi-layer perceptron, convolutional neural network, and residual network algorithms were used for the classification tasks, where the latter yielded the highest accuracy of 96%. It has a promising application prospect in fast recognition and analysis of µPADs.

Point-of-care biochemical assays using electrochemical technologies: approaches, applications, and opportunities.

Against the backdrop of hidden symptoms of diseases and limited medical resources of their investigation, in vitro diagnosis has become a popular mode of real-time healthcare monitoring. Electrochemical biosensors have considerable potential for use in wearable products since they can consistently monitor the physiological information of the patient. This review classifies and briefly compares commonly available electrochemical biosensors and the techniques of detection used. Following this, the authors focus on recent studies and applications of various types of sensors based on a variety of methods to detect common compounds and cancer biomarkers in humans. The primary gaps in research are discussed and strategies for improvement are proposed along the dimensions of hardware and software. The work here provides new guidelines for advanced research on and a wider scope of applications of electrochemical biosensors to in vitro diagnosis.

Electrochemical Cytosensor Based on a Gold Nanostar-Decorated Graphene Oxide Platform for Gastric Cancer Cell Detection.

Effectively capturing and sensitively detecting cancer cells are critical to clinical diagnosis and cancer therapy. In this work, we prepared gold nanostar-decorated graphene oxide (GO-AuNSs) nanocomposites using a ultraviolet (UV)-induced strategy, and then modified them with a layer of bio-complex rBSA-FA (coupled reduced bovine serum albumin with folic acid) to generate GO-AuNSs@rBSA-FA nanocomposites. Herein, the application of GO and AuNSs not only strengthened the conductivity of the sensing platform but also guaranteed nanocomposites with biocompatible performance. Moreover, the adopted rBSA-FA layer could effectively enhance the stability and specificity towards gastric cancer cells (MGC-803). According to a systemic construction procedure, a novel electrochemical cytosensor based on GO-AuNSs@rBSA-FA was fabricated for MGC-803 cell detection. With the assistance of cyclic voltammetry (CV) and differential pulse voltammetry (DPV), the cytosensor reached a detection limit of 100 cell/mL in a wide linear range of 3 × 102~7 × 106 cell/mL towards MGC-803 cells. The good electrochemical characteristics for the cancer cell analysis indicate a promising prospect of this electrochemical cytosensor in clinical cancer diagnosis.

Integrating Epigenetic Modulators in Nanofibers for Synergistic Gastric Cancer Therapy via Epigenetic Reprogramming.

Epigenetic dysregulations resulting from the defects of epigenetic regulators are often reversible in tumorigenesis, making them promising cancer therapeutic targets. However, the limited specificity of action, short-term stability, and low retention of the epigenetic drugs greatly impede their clinical efficacy against solid tumors. Herein a method of combinatorial delivery of epigenetic modulatory drugs via a molecular self-assembly strategy was developed using inhibitors of DNA methyltransferases and histone deacetylases. The drug-drug conjugates can self-assemble into nanofibers with enhanced chemical stability. The nanofibers synergistically regulate aberrant DNA methylation and histone deacetylation, subsequently reprogram the gene expression profiles, and finally inhibit gastric cancer cell proliferation and promote cell apoptosis. The superior in vivo therapeutic efficacy of the nanofibers could be ascribed to the prolonged retention and accumulation in tumors and the minimized off-target effects. Therefore, this design of epigenetic-drug-based nanofiber formulation may provide a valuable paradigm for cancer therapy through epigenetic reprogramming.

Spatiotemporal Control of Molecular Cascade Reactions by a Reconfigurable DNA Origami Domino Array.

Inspired by efficient biomolecular reactions in the cell, versatile DNA nanostructures have been explored for manipulating the spatial position and regulating reactions at the molecular level. Spatially controlled arrangement of molecules on the artificial scaffolds generally leads to enhanced reaction activities. Especially, the rich toolset of dynamic DNA nanostructures provides a potential route towards more sophisticated and vigorous regulation of molecular reactions. Herein, a reconfigurable DNA origami domino array (DODA) as a dynamic scaffold was adopted in this work for temporal-controlled and switchable molecular cascade reactions. Dynamic regulation of the assembly of G-quadruplex, hybridization of parallel-stranded duplex and assembly of binary DNAzyme were demonstrated. Molecular cascade reactions on the triggered reconfiguration of DODAs were realized, resulting in more complex, dynamic, and switchable control over the reactions.

Multifunctional Nano-Sunflowers with Color-Magnetic-Raman Properties for Multimodal Lateral Flow Immunoassay.

Multimodal lateral flow immunoassay (LFIA) has shown promise for improving both the flexibility and practicability of point-of-care test. We report here a facile, in situ growth method for preparing multifunctional core-shell-shell nano-sunflowers with a unique combination of color-magnetic-Raman properties. The use of Fe3O4 nanobeads with high saturation magnetization as the magnetic core allowed for robust magnetic signal strength-even after successive coatings of polydopamine and gold nanoparticles (Au NPs). Carefully selected 4-mercaptobenzonitrile molecules not only contributed to the growth of the Au NP shell but also generated a strong, surface-enhanced Raman scattering signal. The resulting nanomaterials were successfully used in the construction of multimodal LFIA with one qualitative and two alternative quantitative detection modes of different sensitivity levels. The limit of detection for the paradigm target-human chorionic gonadotropin-was 10 mIU/mL in color mode, 1.2 mIU/mL in magnetic mode, and 0.2 mIU/mL in Raman mode.

A HiPAD Integrated with rGO/MWCNTs Nano-Circuit Heater for Visual Point-of-Care Testing of SARS-CoV-2.

Nowadays, the main obstacle for further miniaturization and integration of nucleic acids point-of-care testing devices is the lack of low-cost and high-performance heating materials for supporting reliable nucleic acids amplification. Herein, reduced graphene oxide hybridized multi-walled carbon nanotubes nano-circuit integrated into an ingenious paper-based heater is developed, which is integrated into a paper-based analytical device (named HiPAD). The coronavirus disease 2019 (COVID-19) pandemic caused by severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) is still raging across the world. As a proof of concept, the HiPAD is utilized to visually detect the SARS-CoV-2 N gene using colored loop-mediated isothermal amplification reaction. This HiPAD costing a few dollars has comparable detection performance to traditional nucleic acids amplifier costing thousands of dollars. The detection range is from 25 to 2.5 × 1010 copies mL-1 in 45 min. The detection limit of 25 copies mL-1 is 40 times more sensitive than 1000 copies mL-1 in conventional real-time PCR instruments. The disposable paper-based chip could also avoid potential secondary transmission of COVID-19 by convenient incineration to guarantee biosafety. The HiPAD or easily expanded M-HiPAD (for multiplex detection) has great potential for pathogen diagnostics in resource-limited settings.

Rapid developments in lateral flow immunoassay for nucleic acid detection.

Recently, lateral flow assay (LFA) for nucleic acid detection has drawn increasing attention in the point-of-care testing fields. Due to its rapidity, easy implementation, and low equipment requirement, it is well suited for use in rapid diagnosis, food authentication, and environmental monitoring under source-limited conditions. This review will discuss two main research directions of lateral flow nucleic acid tests. The first one is the incorporation of isothermal amplification methods with LFA, which ensures an ultra-high testing sensitivity under non-laboratory conditions. The two most commonly used methodologies will be discussed, namely Loop-mediated Isothermal Amplification (LAMP) and Recombinase Polymerase Amplification (RPA), and some novel methods with special properties will also be introduced. The second research direction is the development of novel labeling materials. It endeavors to increase the sensitivity and quantifiability of LFA testing, where signals can be read and analyzed by portable devices. These methods are compared in terms of limits of detection, detection times, and quantifiabilities. It is anticipated that future research on lateral flow nucleic acid tests will focus on the integration of the whole testing process into a microfluidic system and the combination with molecular diagnostic tools such as clustered regularly interspaced short palindromic repeats to facilitate a rapid and accurate test.

Recent developments in sensors for wearable device applications.

Wearable devices are a new means of human-computer interaction with different functions, underlying principles, and forms. They have been widely used in the medical and health fields, in applications including physiological signal monitoring; sports; and environmental detection, while subtly affecting people's lives and work. Wearable sensors as functional components of wearable devices have become a research focus. In this review, we systematically summarize recent progress in the development of wearable sensors and related devices. Wearable sensors in medical health applications, according to the principle of measurement, are divided into physical and chemical quantity detection. These sensors can monitor and measure specific parameters, thereby enabling continuously improvements in the quality and feasibility of medical treatment. Through the detection of human movement, such as breathing, heartbeat, or bending, wearable sensors can evaluate body movement and monitor an individual's physical performance and health status. Wearable devices detecting aspects of the environment while maintaining high adaptability to the human body can be used to evaluate environmental quality and obtain more accurate environmental information. The ultimate goal of this review is to provide new insights and directions for the future development and broader application of wearable devices in various fields.Graphical abstract.

Strategies for the detection of target analytes using microfluidic paper-based analytical devices.

Microfluidic paper-based analytical devices (µPADs) have developed rapidly in recent years, because of their advantages, such as small sample volume, rapid detection rates, low cost, and portability. Due to these characteristics, they can be used for in vitro diagnostics in the laboratory, or in the field, for a variety of applications, including food evaluation, disease screening, environmental monitoring, and drug testing. This review will present various detection methods employed by µPADs and their respective applications for the detection of target analytes. These include colorimetry, electrochemistry, chemiluminescence (CL), electrochemiluminescence (ECL), and fluorescence-based methodologies. At the same time, the choice of labeling material and the design of microfluidic channels are also important for detection results. The construction of novel nanocomponents and different smart structures of paper-based devices have improved the performance of µPADs and we will also highlight some of these in this manuscript. Additionally, some key challenges and future prospects for the use of µPADs are briefly discussed.

Au-siRNA@ aptamer nanocages as a high-efficiency drug and gene delivery system for targeted lung cancer therapy.

BACKGROUND: Gene and chemical therapy has become one of the rising stars in the field of molecular medicine during the last two decades. However, there are still numerous challenges in the development of efficient, targeted, and safe delivery systems that can avoid siRNA degradation and reduce the toxicity and adverse effects of chemotherapy medicine. RESULTS: In this paper, a highly efficient AS1411 aptamer modified, dsDNA and MMP-2 cleavable peptide-fabricated gold nanocage vehicle, which could load doxorubicin hydrochloride (DOX) and siRNAs to achieve a combination of tumor responsive genetic therapy, chemotherapy, and photothermal treatment is presented. Our results show that this combined treatment achieved targeted gene silencing and tumor inhibition. After nearly one month of treatment with DOX-loaded Au-siRNA-PAA-AS1411 nanoparticles with one dose every three days in mice, a synergistic effect promoting the eradication of long-lived tumors was observed along with an increased survival rate of mice. The combined genetic, chemotherapeutic, and photothermal treatment group exhibited more than 90% tumor inhibition ratio (tumor signal) and a ~ 67% survival rate compared with a 30% tumor inhibition ratio and a 0% survival rate in the passive genetic treatment group. CONCLUSIONS: The development of nanocarriers with double-stranded DNA and MMP-2 cleavable peptides provides a new strategy for the combined delivery of gene and chemotherapy medicine. Au-siRNA-PAA-AS1411 exerts high anticancer activities on lung cancer, indicating immense potentials for clinical application.

Proximity-Induced Pattern Operations in Reconfigurable DNA Origami Domino Array.

Molecular patterns with nanoscale precision have been used to mimic complex molecular networks. One key challenge in molecular patterns is to perform active pattern operations in controllable systems to fully imitate their complex dynamic behaviors. Here, we present a reconfigurable DNA origami domino array-based dynamic pattern operation (DODA DPO) system to perform proximity-induced molecular control for complex pattern operations. The activatable platform of reconfigurable DODA endows a spontaneous cascade of stacking conformational transformation from the "before" to the "after" conformation by a set of "trigger" DNA strands. The conformational transformation further brings the operational pattern units into close proximity to undergo DNA strand displacement cascades to accomplish three different pattern operations of "writing", "erasing", and "shifting". Our results also demonstrate the reconfigurable DODA DPO system provides a useful basis to study various molecular control analysis in a fully programmable and controllable fashion.

Progress in Microfluidics-Based Exosome Separation and Detection Technologies for Diagnostic Applications.

Exosomes are secreted by most cell types and circulate in body fluids. Recent studies have revealed that exosomes play a significant role in intercellular communication and are closely associated with the pathogenesis of disease. Therefore, exosomes are considered promising biomarkers for disease diagnosis. However, exosomes are always mixed with other components of body fluids. Consequently, separation methods for exosomes that allow high-purity and high-throughput separation with a high recovery rate and detection techniques for exosomes that are rapid, highly sensitive, highly specific, and have a low detection limit are indispensable for diagnostic applications. For decades, many exosome separation and detection techniques have been developed to achieve the aforementioned goals. However, in most cases, these two techniques are performed separately, which increases operation complexity, time consumption, and cost. The emergence of microfluidics offers a promising way to integrate exosome separation and detection functions into a single chip. Herein, an overview of conventional and microfluidics-based techniques for exosome separation and detection is presented. Moreover, the advantages and drawbacks of these techniques are compared.

A dual signal amplification strategy for the highly sensitive fluorescence detection of nucleic acids.

The development of convenient sensing probes and strategies for the highly sensitive and specific detection of biomolecules is greatly significant for the diagnosis of diseases. Herein, a dual signal amplification strategy comprising target-triggered recycling and duplex-specific nuclease (DSN)-mediated amplifications was designed and proposed for a highly sensitive fluorescence assay of nucleic acids. In this strategy, three special hairpin structured single-stranded DNAs (i.e., H1, H2 and H3) were designed, and target-triggered recycling was operated on H1-modified AuNPs (i.e., AuNP-H1 probes) in the presence of target DNA, H2 and H3 to form trefoil DNAs on AuNPs (i.e., AuNP-trefoil). DSN was then incubated with AuNP-trefoil to cleave the double-stranded trefoil DNAs, causing the ROX molecules labelled on H2 and H3 to fall off the AuNPs, which resulted in the recovery of the previous AuNP-quenched fluorescence signal of ROX. The sensing mechanism was confirmed by polyacrylamide gel electrophoresis and fluorescence characterizations, and the sensing strategy was optimized from several aspects, such as the MCH blocking time of the AuNP-H1 probes (20 min) and the concentration (0.3 U) and immobilization time (15 min) of DSN. The practicability of the probes and the dual signal amplification strategy was investigated by a fluorescence assay of target DNA in human serum. A good linear calibration curve from 50 fM to 100 pM was obtained with a low detection limit of 47.68 fM. The sensing strategy showed good specificity, which could efficiently distinguish the target DNA from the single-base mismatched (SM) and completely unmatched (UM) DNAs. The recovery values ranging from 91.85% to 106.3% with the relative standard deviations (RSD) less than 7.30% also illustrated the good reliability of the proposed sensing probes and strategy. The AuNP-H1 probes and dual signal amplification strategy provide highly effective diagnostic agents and method for the analysis of disease-related nucleic acid biomarkers at the molecular level for early disease detection.