A simultaneous strategy with multiple-signal amplification and self-calibration for ultrasensitive assay of miRNA-21 based on 3D MNPs-IL-rGO-AuNPs

A multifunctional biosensor for linked monitoring of inflammation indicators in hypertension drug evaluation and companion diagnostics

Hypertension, often called the "silent killer", is a prevalent chronic disease closely linked to inflammation. However, most current methods monitor only single indicator, providing a limited view of inflammation in hypertension progression. To address this, we developed a multifunctional biosensor featuring a dual target linked monitoring (DTLM) Probe for the simultaneous detection of IL-6 and CRP, two key inflammatory markers in hypertension progression. The DTLM Probe, based on NH2-UiO-66@AuNPs with mutually non-interfering signal chains, was optimized for high performance in tracking both indicators simultaneously. The dual outputs operate independently, enabling IL-6 and CRP to be detected together or individually within a single sample injection. Under optimized conditions, the biosensor demonstrated excellent specificity and sensitivity, with detection limits of 355 fg/mL for IL-6 and 367 fg/mL for CRP. Applied to a rat model, the biosensor effectively explored the anti-inflammatory effects of Qishenyiqi, a traditional Chinese medicine, assessing its efficacy in reducing hypertensive heart damage. Additionally, it distinguished IL-6 and CRP levels between healthy and hypertensive individuals, capturing subtle changes after treatments. This ensured targeted anti-inflammatory therapies for patients who would benefit most. This biosensor provides a powerful and versatile platform for dual markers tracking, supporting both drug evaluation and companion diagnostics for tailor treatments in hypertension management.

Recent progress on biosensors for detection of circulating miRNA biomarkers

Circulating miRNAs are a class of non-coding endogenous RNAs found in body fluids which typically consist of 19-24 nucleotides in length. The abnormal expression of miRNAs has been demonstrated to be associated with severe human diseases. Aiming to provide valuable insights for the further development of reliable miRNA detectors for disease early diagnosis and treatment, this work systematically summarizes the latest advancements in signal amplification strategies for miRNA analysis, based on nanomaterials, nucleic acids, enzymes, and CRISPR/Cas system. The emerging techniques for detecting circulating miRNAs in human body fluids over the past decade are highlighted, including electrochemical, optical, and dual-mode biosensors. Furthermore, the challenges of trace miRNA detection in complex samples and the development prospects of miRNA biosensors are also discussed.

Bimodal In Situ Analyzer for Circular RNA in Extracellular Vesicles Combined with Machine Learning for Accurate Gastric Cancer Detection

Circular RNAs in extracellular vesicles (EV-circRNAs) are gaining recognition as potential biomarkers for the diagnosis of gastric cancer (GC). Most current research is focused on identifying new biomarkers and their functional significance in disease regulation. However, the practical application of EV-circRNAs in the early diagnosis of GC is yet to be thoroughly explored due to the low accuracy of EV-circRNAs analysis. In this study, a hybridization chain reaction system based on rectangular DNA framework guidance and constructing a bimodal EV-circRNA in situ analyzer (BEISA) is developed. The analyzer can provide dual signal outputs in the fluorescence and electrochemical modes, enabling a self-correcting detection mechanism that significantly improves the accuracy of the assay. It has a broad detection range and an extremely low limit of detection. In a clinical cohort study, the BEISA used four circRNAs as biomarkers, combining them with machine learning for multiparametric analysis, which effectively differentiated between healthy donors and patients with early-stage GC. It is believed that the BEISA, in conjunction with machine learning technology, provides an efficient, sensitive, and reliable tool for EV-circRNA analysis, aiding in the early diagnosis of GC.

Self-powered chip based on exonuclease-driven amplification for portable cancer biomarker detection

Currently, sensitive detection of microRNA (miRNA) in clinical diagnosis remains a challenge consideration of its extremely similar sequences and low concentration characteristics. In this work, a signal-enhanced biosensor constructed for ultra-sensitive miRNA detection based on two-dimensional (2D) transition metal sulfide materials and target induced -DNAzyme cycle and exonuclide-assisted cascade signal amplification strategy. As expected, miRNA-21 concentration has a good linear relationship with open circuit voltage of self-powered biosensor in the range of 1 fM-100 pM, and the detection limit is low as 0.03 fM. The results indicate that 2D materials have great potential in the construction of electrochemical sensors due to their large active surface area, high electron mobility and excellent electrocatalytic performance. In addition, the DNAzyme triggerd by chain substitution reaction can specifically identify the target and amplify the detection signal cyclically. Finally, the self-powered sensing platform with commercial chips, ensuring stable performance and minimal signal fluctuations during long-term continuous monitoring, enabling portable and real-time target monitoring.

Robust nCuO modulated by defect engineering enhanced photoelectrochemical biosensor for the detection of miRNA-21

Traditional p-type CuO (pCuO), valued for its tunable band gap and p-type conductivity, has been widely used in photoelectrochemical biosensors. However, its weak conductivity leads to unsatisfied photoelectrochemical signals and limits its use in in situ vulcanization reactions. We synthesized n-type CuO (nCuO) with abundant oxygen vacancies through a simple chemical reduction for the first time, which was applied as efficient photoactive material. The resulting nCuO exhibits superior photoelectrochemical performance than pCuO, thanks to enhanced carrier separation facilitated by the oxygen vacancies. Upon miRNA-21 introduction, H₂S was generated, which can react with Cu(II) to form nCuO-pCuS heterojunction on the electrode. Inspiringly, the current increase of nCuO is 2.3 times higher than the pCuO after vulcanization reaction due to the built-in electric field of the nCuO-pCuS heterojunction can promote efficient carrier separation. Under optimal conditions, the biosensor offers excellent analytical performance, with a wide linear range (0.004-400 pM) and a detection limit of 1.8 fM. The integration of oxygen defect engineering and target-triggered vulcanization presents a new strategy for designing high-performance photoelectrochemical biosensors.

Self-generated single-drop microextraction enhanced aggregation-induced emission strategy based on magnetic metal-organic framework for microRNA-21 detection

Lung cancer is one of the most common malignancies with low prevention efficiency and high mortality, so prevention and early detection are very important. In this work, we propose a magnetic metal-organic skeleton nanomaterial bound to biological nucleic acid chains in a spatially confined magnetic single-drop microextraction (SDME) system to enhance the aggregation-induced emission (AIE) effect for fluorescence detection of miRNA-21 associated with lung cancer. DNA/MOF network structure was formed, and loaded with an AIE material, 4',4''',4''''',4'''''''-(ethene-1,1,2,2-tetrayl) tetrakis-([1,1-biphenyl]-3-carboxylic acid) (H4ETTC), by DNA amplification reaction. From a serum sample, the structure was then spontaneously collected, forming a single drop at the end of a magnetic rod in less than 10 s by utilizing a magnetic SDME process. In this self-generated single drop, the structure was aggregated and the fluorescence signal of H4ETTC was enhanced. Direct detection by fluorescence spectrophotometry was enabled. The limit of detection of miRNA-21 was 0.194 fM, and the linear range of miRNA-21 was 1 fM to 100 nM, respectively. The method was applied to the fluorescence detection of miRNA in human serum samples. The relative recoveries were 98.4 %-104.5 %.

An oriented self-assembly biosensor with built-in error-checking for precise midkine detection in cancer diagnosis and prognosis evaluation

Midkine (MDK) is a neurotrophic growth factor highly expressed during embryogenesis, currently recognized as a multifaceted factor in cancer progression and drug resistance. MDK has demonstrated greater accuracy than existing biomarkers. Serum MDK is a valuable indicator for the non-invasive early detection of tumors. It dynamically changes following surgical tumor excision and prior to recurrence, facilitating prognosis and treatment response evaluation. However, existing methods struggle to achieve the sensitivity required for clinical applications. Herein, we developed a triple-mode biosensor with oriented self-construction and built-in error-checking for rapid, sensitive, and convenient MDK detection. The sensor construction adhered to the principle of achieving oriented and strong covalent connections to ensure high sensitivity. Biosynthesized quantum dots (BQDs) were introduced to orient antibodies, enhancing the exploration of active binding sites and significantly increasing antibody-capturing ability. To further enhance sensitivity and signal amplification, Au@Pt nanorods-Ab2 (MF-Probe) were used as multifunctional probes, incorporating an error-checking mechanism to minimize false results. Detection was feasible using an electrochemical workstation, a microplate reader, and even a mobile phone. The sensor exhibited a wide linear range from 5 fg/mL to 100 ng/mL and a low limit of detection (LOD) of 1.620 fg/mL. It accurately distinguished MDK levels in the serum of healthy donors and cancer patients. Compared to existing ELISA kits, it exhibited a lower LOD and a more sensitive response to trace MDK, suggesting it is a promising tool for cancer diagnosis and prognostic evaluation.

Sensitive and accurate photoluminescent-multiphonon resonant Raman scattering dual-mode detection of microRNA-21 via catalytic hairpin assembly amplification and magnetic assistance

A novel dual-mode detection method for microRNA-21 was developed. Photoluminescent (PL) and multiphonon resonant Raman scattering (MRRS) techniques were combined by using ZnTe nanoparticles as signal probes for reliable detection. The catalytic hairpin assembly (CHA) strategy was integrated with superparamagnetic Fe3O4 nanoparticle clusters (NCs) to enhance sensitivity. A remarkable detection sensitivity was achieved, with an ultralow limit of detection (LOD) of 310 aM for PL and 460 aM for MRRS. A wide detection range spanning from 500 aM to 100 nM for PL and 500 aM to 10 nM for MRRS was demonstrated, showcasing the versatility and efficacy of the method. Comparing to current methods and our previous work, both sensitivity and detection range showed significant advancements. The consistency between the detection results of PL and MRRS modes highlights the reliability and robustness of our method, offering compelling internal validation. This work not only opens new avenues for achieving sensitive and accurate detection of miRNAs, but also shows significant promise for advancing diagnostic applications in disease management.

Miniaturized thermal purge-and-trap device combined with self-calibration colorimetric/SERS dual-model optical sensors for highly rapid and selective detection of sulfur dioxide in wine

Herein, the miniaturized thermal purge-and-trap (MTPT) device combined with self-calibration colorimetric/surface-enhanced Raman spectroscopy (SERS) dual-model optical sensors were designed for effective analysis of sulfur dioxide (SO2) in wine. The SO2 can be rapidly separated from wine and enriched by MTPT device, ensuring colorimetric/SERS dual-model optical sensing based on Karl Fischer reaction. The high separation efficiency of miniaturized MTPT device combined with self-calibration of dual-model optical sensors significantly alleviate matrix interference and improve the detection accuracy. The satisfactory linear range of 0.1-200.0 mg/L and 0.1-500.0 mg/L with limit of detection of 0.03 mg/L can be obtained. Finally, the MTPT-colorimetric/SERS method was applied to determine the content of SO2 in different kinds of wine to verify the practicality. These results provide an ideal strategy in construction of MTPT device combined with self-calibration dual-model optical sensors for quantification of gaseous hazards in complex food samples with high rapidity, anti-interference and accuracy.

Simultaneous detection of multiple microRNAs based on fluorescence resonance energy transfer under a single excitation wavelength

MicroRNAs (miRNAs) play a key role in physiological processes, and their dysregulation is closely related to various human diseases. Simultaneous detection of multiple miRNAs is pivotal to cancer diagnosis at an early stage. However, most multicomponent analyses generally involve multiple excitation wavelengths, which are complicated and often challenging to simultaneously acquire multiple detection signals. In this study, a convenient and sensitive sensor was developed to simultaneously detection of multiple miRNAs under a single excitation wavelength through the fluorescence resonance energy transfer between the carbon dots (CDs)/quantum dots (QDs) and graphene oxide (GO). A hybridization chain reaction (HCR) was triggered by miRNA-141 and miRNA-21, resulting in the high sensitivity with a limit of detection (LOD) of 50 pM (3σ/k) for miRNA-141 and 60 pM (3σ/k) for miRNA-21. This simultaneous assay also showed excellent specificity discrimination against the mismatch. Furthermore, our proposed method successfully detected miRNA-21 and miRNA-141 in human serum samples at a same time, indicating its diagnostic potential in a clinical setting.

An advanced 3D DNA nanoplatform for spatiotemporally confined enhanced dual-mode biosensing MicroRNA in cancer cell

Dual-mode signal output platforms have demonstrated considerable promise due to their improved anti-interference capability and inherent signal self-correction. Nevertheless, traditional discrete-distributed signal probes often encounter significant drawbacks, including limited mass transfer efficiency, diminished signal strength, and instability in intricate biochemical environments. In response to these challenges, a scalable and hyper-compacted 3D DNA nanoplatform resembling "periodic focusing heliostat" has been developed for synergistically enhanced fluorescence (FL) and surface-enhanced Raman spectroscopy (SERS) biosensing of miRNA in cancer cells. Our approach utilized a distinctive assembly strategy integrating gold nanostars (GNS) as fundamental "heliostat units" linked by palindromic DNA sequences to facilitate each other hand-in-hand cascade alignment and condensed into large scale nanostructures. This configuration was further augmented by the incorporation of gold nanoparticles (GNP) via strong Au-S bonds, resulting in a sturdy framework for improved signal transduction. The initiation of this assembly process was mediated by the hybridization of dsDNA to miRNA-21, which served as a primer for polymerization and nicking reactions, thus generating a multifunctional T2 probe. This probe is intricately designed with three distinct parts: a 3'-palindromic end for structural integrity, a central region for capturing SERS-active probes (Cy3-P2), and a 5'-segment for attaching fluorescence reporters. Upon integration T2 into the GNS-based heliostat unit, it promotes palindromic arm-induced aggregation and plasma exciton coupling between plasma nanoparticles and signal transduction tags. This clustered arrangement creates a high-density "hot spot" array that maximizes the local electromagnetic fields necessary for enhanced SERS and FL response. This superstructure supports enhanced aggregation-induced signal amplification for both SERS and FL, offering exceptional sensitivity with LOD as low as 0.0306 pM and 0.409 pM. The efficacy of this method was demonstrated in the evaluation of miRNA-21 in various cancer cell lines.

Energy difference-driven ROS reduction for electrochemical tracking crop growth sensitized with electron-migration nanostructures

Aiming for sustainable crop productivity under changing climate conditions, it is essential to develop handy models for in-situ monitoring of reactive oxygen species (ROS). Herein, this work reports a simple electrochemical sensing toward hydrogen peroxide (H2O2) for tracking crop growth status sensitized with electron-migration nanostructure. To be specific, Cu-based metal-organic frameworks (MOFs) with high HOMO energy level are designed for H2O2 reduction on account of Cu(I)/Cu(II) redox switchability. Importantly, the sensing performance is improved by electrochemically reduced graphene oxide (GO) with ready to use feature. To overcome the shortcomings of traditional liquid electrolytes, conductive hydrogel as semi-solid electrolyte exhibits the adhesive property to the cut plant petiole surface. Benefitting from the preferred composite models and conductive hydrogel, the electrochemical sensing toward H2O2 with high sensitivity and good anti-interference against the coexistent molecules, well qualified for acquiring plant growth status.