A fast and colorimetric sensor array for the discrimination of ribonucleotides in human urine samples by gold nanorods

Optical biosensor arrays based on nanozymes for environmental monitoring and food safety detection: principles, design, and applications

Typical biosensing platforms are based on the "lock-and-key" approach, providing high specificity and sensitivity for environmental and food safety monitoring. However, they are limited in their ability to detect multiple analytes simultaneously. With the use of pattern identification methods, biosensor arrays can detect faint fluctuations caused by multiple analytes with similar properties in complex systems. As a simple and efficient detection tool, optical biosensor arrays have become crucial for on-site and visible environmental and food safety monitoring. To enhance their practical applications, enzyme-like nanomaterial (nanozyme)-based biosensor arrays have been developed and integrated into optical biosensing platforms, leveraging their exposed active sites and tunable catalytic capabilities. For the development of an optical biosensor array, it is essential to incorporate multiple biosensing elements that can specifically interact with analytes to produce distinct "fingerprint" signals, enabling the differentiation of different targets via pattern identification. This review provides a comprehensive overview of nanozyme-based optical biosensor arrays for environmental and food safety monitoring. It explores the selective approaches of nanozyme-based colorimetric and fluorescent biosensor arrays, compares detection platforms utilizing nanozyme systems, and emphasizes the application of nanozyme-based optical biosensor arrays for environmental and food hazard monitoring. By evaluating current trends and summarizing both prospects and challenges, this review offers valuable guidance for the rational design of unique nanozyme-based optical biosensor arrays.

Gold Nanoparticles as Exquisite Colorimetric Transducers for Water Pollutant Detection

Gold nanoparticles (AuNPs) are useful nanomaterials as transducers for colorimetric sensors because of their high extinction coefficient and ability to change color depending on aggregation status. Therefore, over the past few decades, AuNP-based colorimetric sensors have been widely applied in several environmental and biological applications, including the detection of water pollutants. According to various studies, water pollutants are classified into heavy metals or cationic metal ions, toxins, and pesticides. Notably, many researchers have been interested in AuNP that detect water pollutants with high sensitivity and selectivity, while offering no adverse environmental issues in terms of AuNP use. This review provides a representative overview of AuNP-based colorimetric sensors for detecting several water pollutants. In particular, we emphasize the advantages of AuNP as colorimetric transducers for water pollutant detection in terms of their low toxicity, high stability, facile processability, and unique optical properties. Next, we discuss the status quo and future prospects of AuNP-based colorimetric sensors for the detection of water pollutants. We believe that this review will promote research and development of AuNP as next-generation colorimetric transducers for water pollutant detection.

Iridium(III) solvent complex-based electrogenerated chemiluminescence and photoluminescence sensor array for the discrimination of bases in oligonucleotides

Development of rapid and sensitive method for the discrimination of bases in oligonucleotides is of great importance in clinical diagnosis. Here, we demonstrate the first case of single iridium(III) solvent complex-based electrogenerated chemiluminescence (ECL) and photoluminescence (PL) sensor array for the discrimination of bases in oligonucleotides. One iridium (III) solvent complex ([Ir(ppy)₂(DMSO)Cl], ppy = 2-phenylpyridine, probe 1) was designed as both ECL and PL probe while five bases (guanine, adenine, cytosine, thymine and uracil) were chosen as analytes. Two-element sensor array was built for the discrimination of five bases based on the fingerprint response of probe 1 to bases via coordination interactions. The combination of unique ECL and PL variations with principal component analysis was applied for the quantitative analysis of five bases in a linear range of 1.0 μM-10 μM and for the effective discrimination of individual base, the mixture of bases and oligonucleotides. Moreover, the sensor array was successfully applied to discriminate different mismatched ss-DNAs from HIV gene (a fully-matched ss-DNA), even at single-base difference. This work demonstrates that the sensor array using single iridium (III) solvent complex is a promising approach for the discrimination of bases with good sensitivity and simpleness in clinical diagnosis.

Recent Progress in Sensor Arrays: From Construction Principles of Sensing Elements to Applications

The traditional sensors are designed based on the "lock-and-key" strategy with high selectivity and specificity for detecting specific analytes, which however are not suitable for detecting multiple analytes simultaneously. With the help of pattern recognition technologies, the sensor arrays excel in distinguishing subtle changes caused by multitarget analytes with similar structures in a complex system. To construct a sensor array, the multiple sensing elements are undoubtedly indispensable units that will selectively interact with targets to generate the unique "fingerprints" based on the distinct responses, enabling the identification among various analytes through pattern recognition methods. This comprehensive review mainly focuses on the construction strategies and principles of sensing elements, as well as the applications of sensor array for identification and detection of target analytes in a wide range of fields. Furthermore, the present challenges and further perspectives of sensor arrays are discussed in detail.

A facile way to construct sensor array library via supramolecular chemistry for discriminating complex systems

Differential sensing, which discriminates analytes via pattern recognition by sensor arrays, plays an important role in our understanding of many chemical and biological systems. However, it remains challenging to develop new methods to build a sensor unit library without incurring a high workload of synthesis. Herein, we propose a supramolecular approach to construct a sensor unit library by taking full advantage of recognition and assembly. Ten sensor arrays are developed by replacing the building block combinations, adjusting the ratio between system components, and changing the environment. Using proteins as model analytes, we examine the discriminative abilities of these supramolecular sensor arrays. Then the practical applicability for discriminating complex analytes is further demonstrated using honey as an example. This sensor array construction strategy is simple, tunable, and capable of developing many sensor units with as few syntheses as possible.

The Mechanism of Interaction Between Gold Nanoparticles and Human Dermal Fibroblasts Based on Integrative Analysis of Transcriptomics and Metabolomics Data

The aim of this paper was to combine transcriptomics and metabolomics to analyze the mechanism of gold nanoparticles (GNPs) on human dermal fibroblasts (HDFs). First, 20-nm GNPs were prepared, and the differentially expressed genes in HDFs were subsequently screened by transcriptome sequencing technology after 4, 8, and 24 h of treatment with GNPs. By comparing the metabolic pathways in which the metabolites obtained in a previous study were involved, the pathways involving both genes and metabolites were filtered, and the differentially expressed genes and metabolites with upstream and downstream relationships were screened out. The gene–metabolite–metabolic pathway network was further constructed, and the functions of metabolic pathways, genes and metabolites in the important network were analyzed and experimentally verified. The results of transcriptome sequencing experiments showed that 1904, 1216 and 489 genes were differentially expressed in HDFs after 4, 8 and 24 h of treatment with GNPs, and these genes were involved in 270, 235 and 163 biological pathways, respectively. Through the comparison and analysis of the metabolic pathways affected by the metabolites, 7, 3 and 2 metabolic pathways with genes and metabolites exhibiting upstream and downstream relationships were identified. Through analysis of the gene–metabolite–metabolic pathway network, 4 important metabolic pathways, 9 genes and 7 metabolites were identified. Combined with the results of verification experiments on oxidative stress, apoptosis, the cell cycle, the cytoskeleton and cell adhesion, it was found that GNPs regulated the synthesis of downstream metabolites through upstream genes in important metabolic pathways. GNPs inhibited oxidative stress and thus did not induce significant apoptosis, but they exerted effects on several cellular functions, including arresting the cell cycle and affecting the cytoskeleton and cell adhesion.

The Molecular Mechanism of Long Non-Coding RNA (LncRNA) Regulation of Notch Signaling in Glucose-Induced Apoptosis of Human Retinal Vascular Endothelial Cell

Diabetes, a global health concern, affects the health of more than 500 million adults. The absence of Notch protein can cause an imbalance in the retinal vascular environment and cause retinal vascular disease. Long noncoding RNA (lncRNA) is known to be involved in the regulation of many signaling pathways. We hope to understand the specific mechanism of apoptosis in retinal vascular endothelial cells (RVECs) by exploring the regulatory effect of lncRNA on the Notch pathway. In this study, we found that RVECs treated with glucose showed increased levels of Notch transcript and protein expression. The lentiviral interference with Notch RNAi reversed this response. When Notch activity decreased, oxidative stress also decreased, accompanied by increased levels of Caspase-9 and Caspase-3 and an increased rate of apoptosis. Therefore, we believe that Notch is involved in the development of diabetic retinopathy and loss of expression promotes apoptosis of human RVECs. By inhibiting the Notch pathway, lncRNA promotes apoptosis of human RVECs in a high-glucose environment.

Nucleus-Targeted Nanoparticles Induce Autophagy of Vascular Endothelial Cells in Cervical Spondylosis of Vertebral Artery Type Through PI3K/Akt/mTOR Signaling Pathway

Nanoparticles are characterized by their large surface area per unit and high dispersion, with excellent affinity and adhesion to the tissue, which help them to contact drugs with tissues. However, the relationship between nuclear-targeted nanoparticles and PI3K/Akt/mTOR pathway, as well as their roles in cervical spondylosis of vertebral artery type (CSA) remain unclear. bEnd.3 cells were in this study exposed to nuclear-targeted nanoparticles, followed by determination of cell biological processes. The role of nuclear-targeted nanoparticles in CSA in relation to PI3K/Akt/mTOR pathway was then analyzed through detection of autophagy-related proteins pathway-related proteins. Nuclear-targeted nanoparticles led to reduced bEnd.3 cell proliferation with IC50 at indicated time points shown as (12.8±0.67), (8.8±0.43), and (4.6±0.42) μmol/L, respectively. Nuclear-targeted nanoparticles blocked bEnd.3 cells in G2/M phase, and induced apoptosis. In addition, nuclear-targeted nanoparticles inhibited the PI3K/Akt/mTOR pathway in the bEnd.3 cells, as evidenced by reduced PI3K, Akt and mTOR levels. Nuclear-targeted nanoparticles decreased the expression of Beclin-1, LC3, p62, Cathepsin D, and ATG5, and increased expression of GSK-3 and Bcl-2. Our present study demonstrated that the nucleartargeted nanoparticles could regulate the growth of bEnd.3 cells in CSA and promote autophagy of cells through blockage of the PI3K/Akt/mTOR signaling pathway.

Visualized Genotyping from "Sample to Results" Within 25 Minutes by Coupling Recombinase Polymerase Amplification (RPA) With Allele-Specific Invasive Reaction Assisted Gold Nanoparticle Probes Assembling

A simple and rapid genotyping method with less-instrumentation is essential for realizing point-of-care detection of personalized medicine-related gene biomarkers. Herein, we developed a rapid and visualized genotyping method by coupling recombinase polymerase amplification (RPA) with allele-specific invader reaction assisted gold nanoparticle probes assembling. In the method, the DNA targets were firstly amplified by using RPA, which is a rapid isothermal amplification technology. Then an allele-specific invasion reaction was performed to recognize the single nucleotide polymorphisms (SNPs) site in the amplicons, to produce signal molecules that caused discoloration of gold nanoparticle probes. As a result, genotyping was achieved by observing the color change of the reaction by using naked eye without the requirement for any expensive instrument. In order to achieve rapid genotyping detection, the genomic DNA from oral swab lysate samples were used for the RPA templates amplification. In this way, a visualized genotyping from "samples to results" within 25 min was realized. Two clopidogrel related SNPs CYP2C19*2 and CYP2C19*3 of 56 clinical samples were correctly genotyped by using this rapid visualized genotyping assay. In addition, the feasibility for this pathogen genotyping method was also verified by detecting plasmid DNA containing three SARS-COV-2 gene mutation sites, indicating that this method has the potential for clinical sample detection.

Fos-Related Antigen 1 May Cause Wnt-Fzd Signaling Pathway-Related Nephroblastoma in Children

This study aimed to investigate the role of the primary Fos-related antigen 1 (Fosl-1) oncogene in nephroblastoma by studying 60 childhood nephroblastoma and 58 paraneoplastic carcinoma cases. The Fosl-1 expression was detected using immunohistochemistry. In vitro culture of nephroblastoma cells was performed by viral transfection to establish Fosl-1 overexpression and gene knockout models. Flow cytometry and nano-PCR were used to detect apoptosis and mRNA expression in related pathway genes. Immunohistochemical results showed that the positive expression of Fosl-1 in the nuclei of nephroblastoma tissue was 78%, among which metastasis rate was 61.7%; correspondingly, it was 8%, and 100% in adjacent tissues. The qPCR results indicated that MMP9, Wnt1, and Fzd1 were significantly upregulated after Fosl-1 overexpression compared with the normal embryonic tissue cells, control, and gene knockout groups (P <0.05). Fosl-1 could cause the occurrence, development, and metastasis of childhood nephroblastoma through wingless/int1/Frizzled-related signaling pathways.

Effect of Polysaccharide Sulfate-Loaded Poly(lactic-co-glycolic acid) Nanoparticles on Coronary Microvascular Dysfunction of Diabetic Cardiomyopathy

Diabetic cardiomyopathy (DCM) mainly results from development of coronary microcirculatory dysfunction (CMD). Polysaccharide sulfate (PSS), as one heparin drug, has a variety of biological activities. This study examined the efficacy of a new type of PSS-loaded poly lactic-co-glycolic acid (PLGA) nanoparticles (PSS-NPs) on DCM, in finding a theoretical basis for CMD treatment. After establishment of DCM model, the animals were administrated with PSS, PSS-NPs, normal saline or poly(ethylene glycol)1 (PEG1) through intraperitoneal injection. 8 weeks after injection of streptozotocin (STZ), heart function of rats was assessed by echocardiography. The rat tissues were collected and detected by histological analysis. Quantitative reverse transcription PCR (RT-qPCR) and Western blot analyses determined the levels of malondialdehyde (MDA), glutathione (GSH), superoxide dismutase (SOD), and pro-inflammatory factors. PSS-NPs had a good protective effect on cardiac insufficiency in rats. Administration of PSS-NPs prolonged survival state, and enhanced cardiac function, thereby alleviating the symptoms, and inducing formation of micro vessels. Importantly, it improved the symptoms of DCM patients and their quality of life. Moreover, pro-inflammatory factor levels decreased upon the treatment, accompanied with inactivation of NF-κB signaling pathways, thereby improving DCM. This study demonstrated that the PSS-NPs significantly relieved DCM and restored cardiac function in rats through NF-κB signaling pathways, providing a theoretical basis for development of PSS-NPs, and new treatment ideas for CMD of DCM.

Prostate-Specific Membrane Antigen-1-Mediated Au@SiO₂@Au Core-Shell Nanoparticles: Targeting Prostate Cancer to Enhance Photothermal Therapy and Fluorescence Imaging

The advantages of deep tissue penetration and the high spatial accuracy of photothermal therapy have been widely studied. Gold, as a photothermal material, has received particular attention. Different sizes and shapes of gold have been studied and characterized for their varying photothermal properties. The core-shell structure of gold nanoparticles and silica enhances the photothermal conversion through the coupling effect between gold clusters on the material's surface. With excellent photothermal conversion performance, the core-shell nanoparticles can quickly reach 40 °C in 200 s under the irradiation of 808 nm, 1.5 W·cm^-2. The highest conversion temperature of these nanoparticles is 56 °C, and the photothermal conversion rate is 45%. In vitro cell experiments displayed that NPs with targeted function can efficiently aggregate in prostate cancer cells and effectively kill cells. In vitro experiments showed that the tumor cells of mice after photothermal treatment completely disappeared after 15 days, which fully demonstrated the potential of the nanoparticles for targeted photothermal therapy.

Detection of Chymotrypsin Using Peptide Sensor Based on Graphene Oxide Modified with Sulfhydryl Group and Gold Nanoparticles

In this study, GO modified with sulfhydryl group was prepared by thiolation on the surface of GO, which makes a meaningful material. GO with sulfhydryl group combined with gold nanoparticles,...

Size-dependent light scattering of CoOOH nanoflakes for convenient and sensitive detection of alkaline phosphatase in human serum

As a natural enzyme, alkaline phosphatase (ALP) plays an essential role in clinicopathological examinations and biomedical research, and is capable of hydrolyzing the phosphate group of l-ascorbic acid-2-phosphate (AAP) to yield l-ascorbic acid (L-AA). L-AA reduced cobalt oxyhydroxide (CoOOH) nanoflakes to Co²⁺ , leading to a smaller size and weaker light scattering, which could be monitored by electron microscopic images and optical spectra. The indirect detection of ALP was achieved by the reduced light scattering signal of CoOOH nanoflakes. Under optimal conditions, the decrease in scattering intensity was proportional to the ALP concentration over the range 0.1-160 U/L and the detection limit was 0.034 U/L (3σ/k). Compared with other assays, this proposed light scattering method was more convenient and economic for ALP sensing. The method was successfully applied to ALP analysis in human serum samples, and was similar to the results obtained by commercial kits.

Citrate-Stabilized Gold Nanorods-Directed Osteogenic Differentiation of Multiple Cells

Objective

Gold nanorods (AuNRs) show great potential for versatile biomedical applications, such as stem cell therapy and bone tissue engineering. However, as an indispensable shape-directing agent for the growth of AuNRs, cetyltrimethylammonium bromide (CTAB) is not optimal for biological studies because it forms a cytotoxic bilayer on the AuNR surface, which interferes with the interactions with biological cells.

Methods

Citrate-stabilized AuNRs with various aspect-ratios (Cit-NRI, Cit-NRII, and Cit-NRIII) were prepared by the combination of end-selective etching and poly(sodium 4-styrenesulfonate)-assisted ligand exchange method. Their effects on osteogenic differentiation of the pre-osteoblastic cell line (MC3T3-E1), rat bone marrow mesenchymal stem cells (rBMSCs), and human periodontal ligament progenitor cells (PDLPs) have been investigated. Potential signaling pathway of citrate-stabilized AuNRs-induced osteogenic effects was also investigated.

Results

The experimental results showed that citrate-stabilized AuNRs have superior biocompatibility and undergo aspect-ratio-dependent osteogenic differentiation via expression of osteogenic marker genes, alkaline phosphatase (ALP) activity and formation of mineralized nodule. Furthermore, Wnt/β-catenin signaling pathway might provide a potential explanation for the citrate-stabilized AuNRs-mediated osteogenic differentiation.

Conclusion

These findings revealed that citrate-stabilized AuNRs with great biocompatibility could regulate the osteogenic differentiation of multiple cell types through Wnt/β-catenin signaling pathway, which promote innovative AuNRs in the field of tissue engineering and other biomedical applications.

Fe–N/C single-atom nanozyme-based colorimetric sensor array for discriminating multiple biological antioxidants

Fe–C/N single-atom nanozyme with oxidase-like activity was applied to constructed a triple-channel colorimetric sensor array for discriminating l-Cys, GSH, UA, AA and MT.

A novel acid-sensitive quantum dot sensor array for the identification of Chinese baijiu

The organic acid content plays important roles in the flavor and taste of Chinese baijiu. Developing a detection and discrimination technique for organic acids and employing it as a basis in baijiu classification has great practical significance. We employed 3 kinds of acid-sensitive quantum dots (QDs) to construct a fluorescence sensor array for the detection and identification of organic acids in baijiu. We report the first directional use of array sensing detection technology for the evaluation of organic acids in baijiu. Linear discriminant analysis (LDA) was successfully employed to evaluate the ability of the as-developed sensor array to classify organic acids. The Euclidean distance analysis was introduced to prove the provided sensor array possesses good quantitative detection. On this basis, our sensor array was successfully applied to distinguish 16 kinds of baijiu samples. The results were supported by principal component analysis (PCA), LDA, and systematic cluster analysis (HCA). Furthermore, Pearson correlation results indicated a strong correlation between the detection results and the organic acids in baijiu. This simple and accurate method shows potential for quality control and detection in baijiu factories and markets.