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Photothermal biosensors with advantages of speed and high sensitivity offer alternative and reliable solutions for real-time clinical diagnosis, food safety testing and environmental monitoring. Although metallic nanoparticles are usually used for photothermal biosensors, their poor photothermal stability and potential toxicity hinder clinical applications. Taking advantage of the low cytotoxicity and remarkable photothermal effect under the low laser power of polypyrrole-based organic nanoparticles, we developed a novel photothermal biosensor with a temperature and pressure dual readout. After the formation of immunoassay sandwich structures, polypyrrole as the photothermal agent is synthesized

In this study, catalase-linked immunosorbent pressure assay with a gas-generation reaction was established for quantitative detection of disease biomarker C-reactive protein (CRP) by a portable pressuremeter. The pressure-based detection system recognizes, transduces, and amplifies the target signal to a convenient target-correlated pressure signal reading in a closed chamber. Biotin molecules were modified on the surface of catalase in order to incorporate catalase into the pressure immunoassay by the streptavidin-biotin interaction. To improve the assay performance, the modification ratios of biotin molecules to catalase, and the concentrations of capture and detection antibodies were further optimized. The catalase-linked immunosorbent pressure assay allows portable and quantitation analysis of CRP with a limit of detection of 1.8 nM, which can satisfy the clinical needs for determining the risk of cardiovascular disease. The catalase-linked immunosorbent pressure assay also shows superior specificity and good accuracy. Compared to the previously reported assay catalyzed by PtNP nanozyme, catalase is not easily deactivated during storage and operation. With the merits of enzymatic efficiency, biocompatibility, low non-specific adsorption and facile modification, catalase can be reasonably used for reproducible, stable, simple quantitative detection of disease markers using a portable pressure-based assay in resource-limited settings.

Gas generation-based measurement is an attractive alternative approach for POC (Point-of-care) testing, which relies on the amount of generated gas to detect the corresponding target concentrations. In gas generation-based POC testing, the integration of a target recognition component and a catalyzed gas-generating reaction initiated by the target introduction can lead to greatly amplified signals, which can be highly sensitive measured via distance readout or simple hand-held devices. More importantly, numerous gas-generating reactions are environment-friendly since their products such as oxygen and nitrogen are nontoxic and odourless, which makes gas generation-based POC testing safe and secure for inexperienced staff. Researchers have demonstrated that gas generation-based measurements enable the rapid and highly sensitive POC detection of a variety of analytes. In this review, we focus on the recent developments in gas generation-based POC testing systems. The common types of gas-generating reactions are first listed and the translation of gas signals to different signal readouts for POC testing are then summarized, including distance readouts and hand-held devices. Moreover, we introduce gas bubbles as actuators to power microfluidic devices. We finally provide the applications and future perspective of gas generation-based POC testing systems.

As the basic units of life, cells present dramatic heterogeneity which, although crucial to an organism's behavior, is undetected by bulk analysis. Recently, much attention has been paid to reveal cellular types and states at the single-cell level including genome, transcriptome, epigenome or proteome-based on sequencing and immunological methods, etc. Among these approaches, transcriptomic analysis provides knowledge of the molecular linkages between genetic information and the proteome, leading to a comprehensive understanding of biological processes and diseases. Compared to single-dimensional inspection, multi-dimensional analysis combines the transcriptome with other "omics" to enable a comprehensive understanding of single-cell processes and functions. Moreover, compared to separate observations or single snapshots, spatial dimension and lineage time tracing can provide a more multifaceted understanding of the micro-environment and dynamic processes. In this review, we will introduce current transcriptomic analysis methods, as well as their combination with other omics methods including genomic, proteomic, and epigenetic approaches. Multi-dimensional analysis using these approaches for spatial positioning and lineage tracing applications will be reviewed. The future perspectives of single-cell multi-omics analysis based on the transcriptome will also be discussed.

Glioma is a cancer derived from transformed glial cells, which are often invasive and display a heterogeneous cell population. Currently, no trustworthy biomarkers for the detection and risk stratification of glioma have been discovered. The objective of the present research was to select DNA aptamers to facilitate early diagnosis and effective therapy of glioma. Using cell-SELEX, three aptamers (WYZ-37, WYZ-41, WYZ-50), which can specifically recognize the molecular differences between target cells T98G and negative cells SVGp12, were identified. The best binding sequences WYZ-41 and WYZ-50 were optimized in length, resulting in aptamer sequences WYZ-41a and WYZ-50a. The Kd values of the aptamers WYZ-41a and WYZ-50a against the target cell line were found to be 1.0 ± 0.2 nM and 2.8 ± 0.6 nM, respectively, which are better than the Kds for full-length aptamers WYZ-41 and WYZ-50. Flow cytometry analysis results show that the aptamers WYZ-41a and WYZ-50a do not influence each other in mutual binding, and that they effectively detect the target even in complex mixtures, such as undiluted fetal bovine serum (FBS) and cerebral spinal fluid (CSF), indicating that aptamers WYZ-41a and WYZ-50a have excellent potential as aptamer pairs to improve the accuracy of glioma diagnosis.

We would like to take this opportunity to thank all of Analyst’s reviewers, and in particular highlight the Outstanding Reviewers for the journal in 2016, as selected by the editorial team for their significant contribution to Analyst. Starting this year, we will be announcing our Outstanding Reviewers annually and each will receive a certificate to give recognition for their contribution. This new initiative will be featured across many of the journals published by the Royal Society of Chemistry. The reviewers have been chosen based on the number, timeliness and quality of the reports completed over the last 12 months.