Electron diffraction of foam-like clusters between xenon and helium in superfluid helium droplets.

We report electron diffraction results of xenon clusters formed in superfluid helium droplets, with droplet sizes in the range of 105-106 atoms/droplet and xenon clusters from a few to a few hundred atoms. Under four different experimental conditions, the diffraction profiles can be fitted using four atom pairs of Xe. For the two experiments performed with higher helium contributions, the fittings with one pair of Xe-He and three pairs of Xe-Xe distances are statistically preferred compared with four pairs of Xe-Xe distances, while the other two experiments exhibit the opposite preference. In addition to the shortest pair distances corresponding to the van der Waals distances of Xe-He and Xe-Xe, the longer distances are in the range of the different arrangements of Xe-He-Xe and Xe-He-He-Xe. The number of independent atom pairs is too many for the small xenon clusters and too few for the large clusters. We consider these results evidence of xenon foam structures, with helium atoms stuck between Xe atoms. This possibility is confirmed by helium time-dependent density functional calculations. When the impact parameter of the second xenon atom is a few Angstroms or longer, the second xenon atom fails to penetrate the solvation shell of the first atom, resulting in a dimer with a few He atoms in between the two Xe atoms. In addition, our results for larger droplets point toward a multi-center growth process of dopant atoms or molecules, which is in agreement with previous proposals from theoretical calculations and experimental results.

A Bayesian semi-parametric scalar-on-function regression with measurement error using instrumental variables.

Wearable devices such as the ActiGraph are now commonly used in research to monitor or track physical activity. This trend corresponds with the growing need to assess the relationships between physical activity and health outcomes, such as obesity, accurately. Device-based physical activity measures are best treated as functions when assessing their associations with scalar-valued outcomes such as body mass index. Scalar-on-function regression (SoFR) is a suitable regression model in this setting. Most estimation approaches in SoFR assume that the measurement error in functional covariates is white noise. Violating this assumption can lead to underestimating model parameters. There are limited approaches to correcting measurement errors for frequentist methods and none for Bayesian methods in this area. We present a non-parametric Bayesian measurement error-corrected SoFR model that relaxes all the constraining assumptions often involved with these models. Our estimation relies on an instrumental variable allowing a time-varying biasing factor, a significant departure from the current generalized method of moment (GMM) approach. Our proposed method also permits model-based grouping of the functional covariate following measurement error correction. This grouping of the measurement error-corrected functional covariate allows additional ease of interpretation of how the different groups differ. Our method is easy to implement, and we demonstrate its finite sample properties in extensive simulations. Finally, we applied our method to data from the National Health and Examination Survey to assess the relationship between wearable device-based measures of physical activity and body mass index in adults in the United States.

Preferences regarding COVID-19 vaccination among 12,000 adults in China: A cross-sectional discrete choice experiment.

Understanding public preferences concerning vaccination is critical to inform pandemic response strategies. To investigate Chinese adults' preferences regarding COVID-19 vaccine attributes, we conducted a cross-sectional online survey in 12,000 Chinese adults in June-July, 2021. Participants were requested to answer a series of discrete choice questions related to hypothetical COVID-19 vaccines. Using mixed logit models, our analysis revealed that participants had a higher preference for COVID-19 vaccines with longer duration of protection (coefficient: 1.272, 95% confidence interval [1.016 to 1.529]) and higher efficacy (coefficient: 1.063, [0.840, 1.287]). Conversely, participants demonstrated a lower preference associated with higher risk of rare but serious side-effects (coefficient: -1.158, [-1.359, -0.958]), oral administration (coefficient: -0.211, [-0.377, -0.046]), more doses (coefficient: -0.148, [-0.296, 0.000]) and imported origin (coefficient: -0.653, [-0.864, -0.443]). Moreover, preferences were heterogeneous by individual factors: highly educated participants were more sensitive to the negative vaccine attributes including price (coefficient -0.312, [-0.370, -0.253]) and imported vaccine (coefficient -0.941, [-1.186, -0.697]); there was also substantial heterogeneity in vaccine preferences with respect to age group, marital status, work status, income, chronic diagnosis history, COVID-19 vaccination history and geographic regions. As the first study of examining the public preferences for COVID-19 vaccine in China with a large nationwide sample of 12,000 adults, our results indicate that future vaccine should pose lower risk, possess longer protection period, have higher efficacy, be domestically produced, and have lower costs to increase the COVID-19 vaccination coverage. Our current study findings from this study provide insights and recommendations for not only COVID-19 vaccine design but also vaccine attribute preferences to increase vaccine uptake in potential future pandemics.

[Correlation between ecological factors and effective component content, flower, and leaf traits of Epimedium pubescens].

No systematic research has been reported on the correlation between different ecological factors and the effective component content, flower, and leaf traits of Epimedium pubescens. In this study, 21 kinds of E. pubescens in different regions were investigated, and the content of two effective components of icariin(I) and Epimedin C(C), as well as six leaf traits and 12 flower traits were determined. The correlation between 11 ecological factors and the above traits in different regions for five consecutive years was explored. The results showed that no significant correlation was observed between the ecological factors and the total content of two effective components(I+C) of E. pubescens. Latitude and temperature(including annual average temperature, annual average minimum temperature, and soil temperature of each soil layer) were significantly positively and negatively correlated with the ratio of the content of the two effective components(C/I)(P<0.01), respectively. There was a significant correlation between ecological factors and flower traits, and the annual average soil temperature of each soil layer, annual average temperature, and annual average minimum temperature were significantly correlated with most flower traits in multiple years(P<0.01). However, a weak correlation between ecological factors and leaf traits was detected. A significant positive correlation of the annual average soil temperature of each soil layer and annual average humidity(P<0.01) with the width of nutrient leaf in only a few years was detected. Therefore, it was concluded that the total content of effective components of E. pubescens was determined by genetics, with a slight influence of ecological factors. The annual average temperature, annual average minimum temperature, and soil temperature of each soil layer were the ecological factors that had the most significant impact on flower traits, which showed significant differences in different regions, and similar results were not found in leaf traits. Overall, this study systematically conducted a correlation analysis between ecological factors and the effective components, as well as flower and leaf traits, providing guidance for the quality improvement, introduction, and domestication of E. pubescens.

[Temporal and Spatial Evolution and Prediction of Ecosystem Carbon Storage in Jiangxi Province Based on PLUS-InVEST Model].

Land-use changes are an important factor affecting the change in carbon storage in terrestrial ecosystems. Exploring the relationship between land-use changes and carbon storage provides reliable data support for optimizing regional land-use structure and maintaining regional carbon balance. Taking Jiangxi Province as an example, we first analyzed the land-use changes; then simulated the land-use pattern under three scenarios (i.e., natural development, ecological priority, and economic development scenarios) in 2030 based on the PLUS model; and finally estimated the carbon storage change in the past (i.e., 1990-2020) and future periods (i.e., three scenarios in 2030) using the InVEST model, analyzed the spatial-temporal characteristics, and proposed the corresponding suggestions. The results showed:① The carbon storage in Jiangxi Province showed a downward trend from 1990 to 2020, with a total reduction of 4.58×107 t. The increase in the water bodies and construction land and the decrease in cultivated land, woodland, grassland, and unused land was the major cause. ② The carbon storage under natural development, ecological priority, and economic development scenarios in Jiangxi Province in 2030 were 2.20×109, 2.24×109 and 2.19×109 t, respectively. ③ The carbon storage under the three scenarios showed similar spatial characteristics, wherein the high carbon storage was distributed in northern, northwest, and western regions, and the low carbon storage was distributed near the central region. These results can provide data support for future land spatial planning and improving the carbon storage of terrestrial ecosystems in Jiangxi Province.

Functional analysis of two mutation sites in the OCA2 gene.

To analyse the genetic aetiology of a child with oculocutaneous albinism and to explore the effects of two mutation sites on the function of the OCA2 protein at the mRNA and protein levels via the use of recombinant carriers in vitro. Whole-exome sequencing (WES) and Sanger sequencing were used to analyse the pathogenic genes of the child and validate the mutations in the parents. pEGFP and phage vectors carrying wild-type and mutant OCA2 were constructed using the coding DNA sequence (CDS) of the whole gene-synthesized OCA2 as a template and transfected into HEK293T cells, after which expression analysis was performed. The child in this study was born with white skin, hair, eyelashes, and eyebrows and exhibited nystagmus. Genetic analysis indicated that the child carried two heterozygous mutations: c.1079C > T (p.Ser360Phe) of maternal origin and c.1095_1103delAGCACTGGC (p.Ala366_Ala368del) of paternal origin, conforming to an autosomal recessive inheritance pattern. In vitro analysis showed that the expression of the c.1079C > T (p.Ser360Phe) mutant did not significantly change at the mRNA level but did increase at the protein level, suggesting that the mutation may lead to enhanced protein stability, and the c.1095_1103delAGCACTGGC (p.Ala366_Ala368del) mutation resulted in the loss of three amino acids in exon 10, producing a truncated protein. In vitro expression analysis also revealed that the expression of the mutant gene was significantly downregulated at both the mRNA and protein levels, suggesting that the mutation can simultaneously produce truncated proteins and lead to protein degradation. This case study enriches the phenotypic spectrum of OCA2 gene disease. In vitro expression analysis confirmed that both mutations affect protein expression, providing a theoretical basis for analysing the pathogenicity of these two mutations.

Red fermented rice elution fractions inhibits cancer cell proliferation by regulating the FGFR1/PI3K/AKT signaling pathway.

This study aims to elucidate the potential targets and molecular mechanisms underlying the anticancer effects of Red fermented rice extract using molecular simulation techniques. The inhibitory effects of different elution fractions of Red fermented rice extract on A549 and MCF-7 cell proliferation were evaluated through CCK-8 assays. Liquid chromatography-mass spectrometry (LC-MS) was employed to elucidate the structural information of active components, while molecular simulation techniques aided in identifying target proteins based on small molecule structures. Protein immunoblotting was utilized to investigate the mechanisms of action of relevant targets. The study found that the petroleum ether-ethyl acetate and ethyl acetate elution fractions of Red fermented rice extract significantly inhibited A549 and MCF-7 cell proliferation, with stronger effects observed on A549 cells. LC-MS structural analysis identified 25 small molecule structures. Molecular simulations successfully revealed interaction between active elution fractions of Red fermented rice extract and the cancer-related protein FGFR1. Further investigation into the phosphorylation of FGFR1 and its downstream pathway targets PI3K/AKT demonstrated that the active elution fractions exerted their anticancer activity by inhibiting the phosphorylation of FGFR1, PI3K, and AKT proteins. This comprehensive study, integrating CCK-8 assays, LC-MS, molecular simulation techniques, and protein immunoblotting, provides a deep understanding of the anticancer mechanisms of Red fermented rice extract, guiding its further development and clinical application.

Managing extreme AI risks amid rapid progress.

Preparation requires technical research and development, as well as adaptive, proactive governance.

Complete genome sequence of Pseudomonas aeruginosa L3, a bacterium with Mn(II) oxidative property isolated from heavy metal-contaminated soils.

Pseudomonas aeruginosa L3, isolated from heavy metal-contaminated soils, possesses the ability of Mn(II) oxidation. To further enhance the understanding of genes involved in Mn(II) oxidation, the complete genome of this strain was sequenced and annotated, which has a total size of 6.39 Mb with a G + C content of 66.39%.

Surface Oxygen Defect Engineering of A2B2O7 Pyrochlore Semiconductors Boosts the Electrocatalytic Reduction of CO2-to-HCOOH.

The electrocatalytic conversion of inert CO2 to value-added chemical fuels powered by renewable energy is one of the benchmark approaches to address excessive carbon emissions and achieve carbon-neutral energy restructuring. However, the adsorption/activation of supersymmetric CO2 is facing insurmountable challenges that constrain its industrial-scale applications. Here, this theory-guided study confronts these challenges by leveraging the synergies of bimetallic sites and defect engineering, where pyrochlore-type semiconductor A2B2O7 is employed as research platform and the conversion of CO2-to-HCOOH as the model reaction. Specifically, defect engineering intensified greatly the chemisorption-induced CO2 polarization via the bimetallic coordination, thermodynamically beneficial to the HCOOH production via the *HCO2 intermediate. The optimal V-BSO-430 electrocatalyst with abundant surface oxygen vacancies achieved a superior HCOOH yield of 116.7 mmol h-1 cm-2 at -1.2 VRHE, rivalling the incumbent similar reaction systems. Furthermore, the unique catalytic unit featured with a Bi1-Sn-Bi2 triangular structure, which is reconstructed by defect engineering, and altered the pathway of CO2 adsorption and activation to allow the preferential affinity of the suspended O atom in *HCO2 to H. As a result, V-BSO-430 gave an impressive FEHCOOH of 93% at -1.0 VRHE. This study held promises for inspiring the exploration of bimetallic materials from the massive semiconductor database.

The mechanism of Traditional Mongolian medicine Daruqi particles on inflammation.

Daruqi is a Traditional Mongolian medicine with anti-inflammatory, anti-bacterial, and immune-regulatory effects. However, the mechanisms of its activity were unclear. In the present study, we confirmed the anti-inflammation effect of Daruqi on inflammation induced by LPS using animal models. Then, THP-1 cells treated with LPS was used as a positive control to explore the effective component of Daruqi on inflammation. We identified that Oxymatrine was the essential effector of Daruqi. Furthermore, the mechanism of Oxymatrine on inflammation was verified through proteomics analyses and validation assays. Our results demonstrated that Oxymatrine significantly reduced the levels of inflammatory cytokine, including IL-8, IL-1α, and IL-1ß, in LPS induced THP-1 cells. Based on tandem mass tag -labeled quantitative proteomics, 428 differentially expressed proteins were screened, involved in TNF signaling pathway, Ferroptosis, IL-17 signaling pathway, etc. Among these differential expressed proteins (DEPs), 23 proteins were verified with parallel reaction monitoring analysis. The results showed that LPS treatment potentiated the protein level of PLEK, ACSL5 and CYBB, which could be reversed by Oxymatrine. By contrast, the protein expression of SPRYD4 and EMR2 was suppressed after LPS treatment, which could be rescued by Oxymatrine. In summary, Oxymatrine has excellent protective effects in LPS induced THP-1 cells. The five proteins, including PLEK, ACSL5, CYBB, SPRYD4 and EMR2, might serve as the targets of Oxymatrine, and as candidates regulating inflammation in future therapies.

Luteolin attenuates CCl4-induced hepatic injury by inhibiting ferroptosis via SLC7A11.

BACKGROUND: Luteolin (3,4,5,7-tetrahydroxy flavone) is reported to strongly protect from acute carbon tetrachloride (CCl4) -induced liver injury or fibrosis. Ferroptosis can be induced by hepatic injury, and contributes to liver fibrosis development. The exact functional mechanism underlying luteolin inhibition of hepatic injury and whether ferroptosis is involved are unclear. METHODS: Mice model and cell model of liver injury were constructed or induced to explore the effect and molecular mechanisms of Luteolin in the treatment of hepatic injury using CCl4. Cell Counting Kit-8 (CCK-8) and flow cytometry were used to evaluate HepG2 cell viability and apoptosis. The differential expressed genes involved in liver injury were scanned using RNA-seq and confirmed using functional study. Western blot was used to detect the indicators related to ferroptosis. RESULTS: Luteolin attenuated hepatic injury by alleviating cell morphology and decreasing serum aspartate aminotransferase (AST), alanine aminotransferase (ALT), and alkaline phosphatase (ALP) levels in vivo mice models, and increasing cell viability, downregulating arachidonate 12-lipoxygenase (ALOX12), cyclooxygenase-2 (COX-2) and P21 protein expression, suppressing apoptosis in vitro cell models. Luteolin also inhibited ferroptosis by stimulating glutathione peroxidase 4 (GPX4) and mitochondrial ferritin (FTMT) protein expression, increasing glutathione (GSH) content, and minimizing Fe2+ and malondialdehyde (MDA) levels. Solute carrier family 7a member 11 (SLC7A11) was identified to be a key regulatory gene that participated in luteolin attenuation of CCl4-induced hepatic injuries in HepG2 cells using Microarray assay. Functional study showed that SLC7A11 can alleviate hepatic injury and ferroptosis. CONCLUSION: Luteolin attenuated CCl4-induced hepatic injury by inhibiting ferroptosis via SLC7A11. SLC7A11 may serve as a novel alternative therapeutic target for hepatic injury.

Enhancing quality evaluation in traditional Chinese medicine: Utilizing dual wavelength fusion fingerprint, electrochemical fingerprint, and DSC fingerprint.

Developing a reliable and effective quality evaluation system for traditional Chinese medicine (TCM) is both challenging and crucial for its advancement. This study employs fingerprinting techniques to establish precise and comprehensive quality control for TCM, taking Xuezhikang capsules as an example and aiming to facilitate the internationalization of TCM. The "double wavelength absorption coefficient ratio fingerprint" and "Reliability theory" are developed to determine the fingerprint peak purity and fingerprint reliability respectively. Subsequently, the dual-wavelength fusion fingerprint was obtained to avoid the limitations of a single wavelength. In addition, an electrochemical fingerprint (ECFP) was obtained to assess the similarity of electroactive components in the sample, and the Differential Scanning Calorimetry quantized fingerprint (DSC QFP) was introduced for thermal analysis. Fingerprint-efficacy correlations between PL-EC* and dual-wavelength fusion fingerprint (DWFFP) provided valuable insights that there are 76.6 % of the fingerprint compounds exhibited electroactivity. Finally, samples were classified into grades 1∼3 by combining DWFFP, ECFP and DSC QFP through the mean method, meeting the evaluation standard (SL-M > 0.9, PL-M between 80 % and 120 %). This study provides valuable information for ensuring the quality of TCM products, which represents a significant step forward in enhancing the reliability and authenticity of TCM products.

Single-cell sequencing analysis confirms the association of ANRIL with the increased smooth muscle cell proliferation and migration gene signatures in pulmonary artery hypertension in silico.

PURPOSE: Smooth muscle cell (SMC) dysregulation is part of the pathological basis of pulmonary artery hypertension (PAH). We aimed to explore the heterogeneity of SMCs in PAH. METHODS: The profile GSE210248 was obtained from NCBI Gene Expression Omnibus, containing the scRNA-seq data of pulmonary arteries (PA) from three patients with PAH and three healthy donors. After quality control, normalization, and dimension reduction, cell clustering analysis was performed. Differential expression analysis and functional enrichment analysis were carried out successively in smooth muscle cells (SMCs). The enrichment scores of cell cycle and cell migration gene sets in SMCs were calculated. Then, the Spearman correlation coefficients between antisense non-coding RNA in the INK4 locus (ANRIL) expression and two gene sets were computed. RESULTS: Eight cell clusters were identified in PA from samples. The proportion of SMCs was increased in PAH samples. SMCs were divided into five subclusters with diverse biological functions. Muscle contraction-related SMC1 was decreased, while extracellular matrix organization-related SMC2, immune and inflammatory response-related SMC4 and SMC5 were increased in PAH samples compared with healthy donors. The enrichment scores of cell cycle and cell migration gene sets in SMCs were higher in PAH samples than in donors. ANRIL was down-regulated significantly in PAH samples and was negatively related to the scores of two gene sets. CONCLUSION: SMCs exhibited significant heterogeneity in PAH. The altered abilities of SMC proliferation and migration in PAH were associated with ANRIL expression.

Effective Management of Polycythemia Vera With Ropeginterferon Alfa-2b Treatment.

Background: Polycythemia vera (PV) is a myeloproliferative neoplasm. Ropeginterferon alfa-2b is a new-generation polyethylene glycol-conjugated proline-interferon. It is approved for the treatment of PV at a starting dose of 100 µg (50 µg for patients receiving hydroxyurea (HU)) and dose titrations up to 500 µg by 50 µg increments. The study was aimed at assessing its efficacy and safety at a higher starting dose and simpler intra-patient dose escalation. Methods: Forty-nine patients with PV having HU intolerance from major hospitals in China were treated biweekly with an initial dose of 250 µg, followed by 350 µg and 500 µg thereafter if tolerated. Complete hematological response (CHR) was assessed every 12 weeks based on the European LeukemiaNet criteria. The primary endpoint was the CHR rate at week 24. The secondary endpoints included CHR rates at weeks 12, 36 and 52, changes of JAK2V617F allelic burden, time to first CHR, and safety assessments. Results: The CHR rates were 61.2%, 69.4% and 71.4% at weeks 24, 36, and 52, respectively. Mean allele burden of the driver mutation JAK2V617F declined from 58.5% at baseline to 30.1% at 52 weeks. Both CHR and JAK2V617F allele burden reduction showed consistent increases over the 52 weeks of the treatment. Twenty-nine patients (63.0%) achieved partial molecular response (PMR) and two achieved complete molecular response (CMR). The time to CHR was rapid and median time was 5.6 months according to central lab results. The CHRs were durable and median CHR duration time was not reached at week 52. Mean spleen index reduced from 55.6 cm2 at baseline to 50.2 cm2 at week 52. Adverse events (AEs) were mostly mild or moderate. Most common AEs were reversible alanine aminotransferase and aspartate aminotransferase increases, which were not associated with significant elevations in bilirubin levels or jaundice. There were no grade 4 or 5 AEs. Grade 3 AEs were reversible and manageable. Only one AE led to discontinuation. No incidence of thromboembolic events was observed. Conclusion: The 250-350-500 µg dosing regimen was well tolerated and effectively induced CHR and MR and managed spleen size increase. Our findings demonstrate that ropeginterferon alfa-2b at this dosing regimen can provide an effective management of PV and support using this dosing regimen as a treatment option.

Computerized tomography-guided therapeutic percutaneous puncture catheter drainage-combined with somatostatin for severe acute pancreatitis: An analysis of efficacy and safety.

BACKGROUND: Severe acute pancreatitis (SAP), a condition with rapid onset, critical condition and unsatisfactory prognosis, poses a certain threat to human health, warranting optimization of relevant treatment plans to improve treatment efficacy. AIM: To evaluate the efficacy and safety of computerized tomography-guided therapeutic percutaneous puncture catheter drainage (CT-TPPCD) combined with somatostatin (SS) in the treatment of SAP. METHODS: Forty-two SAP patients admitted to The Second Affiliated Hospital of Fujian Medical University from June 2020 to June 2023 were selected. On the basis of routine treatment, 20 patients received SS therapy (control group) and 22 patients were given CT-TPPCD plus SS intervention (research group). The efficacy, safety (pancreatic fistula, intra-abdominal hemorrhage, sepsis, and organ dysfunction syndrome), abdominal bloating and pain relief time, bowel recovery time, hospital stay, inflammatory indicators (C-reactive protein, interleukin-6, and procalcitonin), and Acute Physiology and Chronic Health Evaluation (APACHE) II score of both groups were evaluated for comparison. RESULTS: Compared with the control group, the research group had a markedly higher total effective rate, faster abdominal bloating and pain relief and bowel recovery, shorter hospital length of stay, fewer complications, and lower posttreatment inflammatory indices and APACHE-II scores. CONCLUSION: CT-TPPCD in combination with SS is effective for SAP patients, which can reduce complications, accelerate symptom resolution, inhibit inflammation, and improve patient condition, with promising prospects for clinical promotion.

Predictors of Myelosuppression for Patients with Head and Neck Squamous Cell Carcinoma After Induction Chemotherapy.

Background: Induction chemotherapy (ICT) has become an initial treatment for head and neck squamous cell carcinoma (HNSCC). However, myelosuppression, an unavoidable side effect of ICT, significantly impacts follow-up treatment and prognosis. The main objective of this study is to identify the risk factors and predictors of myelosuppression and its different severity after ICT for ICT. Methods: We retrospectively reviewed medical records of 102 patients with hypopharyngeal cancer or oropharyngeal cancer who received initial ICT from 2013 to 2022. Univariate and multivariate logistic regression analyses were performed to identify risk factors for myelosuppression. Receiver-operating characteristic (ROC) curves were generated using the results of multiple logistic regression analysis to identify data with the highest sensitivity and lowest false-negative rate. Results: Pretreatment lymphocyte count (PLC) and the pretreatment platelet count (PPC) were identified as independent risk factors of myelosuppression (P < .05). Pretreatment hemoglobin count (PHC) was an independent risk factor for predicting myelosuppression in patients with grades III to IV disease. Patients with myelosuppression after ICT are more sensitive to chemotherapy. Conclusions: The PLC and PPC predicted myelosuppression in patients with HNSCC-administered ICT, and the PHC predicted grades III to IV myelosuppression. Myelosuppressed patients were more chemosensitive after ICT.

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

MicroRNA-21 (miRNA-21) is a significant biomarker for the development and progression of diverse cancers but is present in relatively low concentrations. Detecting such low-abundance molecules accurately can be challenging, especially in early-stage cancers where the concentration may be even lower. Herein, a self-calibration biosensing platform based on 3D novel MNPs-IL-rGO-AuNPs nanocomposites was successfully established for the ultrasensitive detection of miRNA-21. Duplex-specific nuclease (DSN) was introduced to recognize perfectly matched duplexes and trigger target recycling, enhancing the specificity and sensitivity of the biosensor. DSN-assisted target recycling, in conjunction with magnetic separation enrichment and high-performance MNPs-IL-rGO-AuNPs, collectively formed a multiple-signal amplification strategy. The obtained biosensor could output dual signals in both electrochemical and fluorescent modes, enabling self-correcting detection to enhance the accuracy. The obtained dual-mode biosensor prepared exhibited a wide detection range from 5 fM to 100 nM with a remarkably low LOD of 1.601 fM. It accomplished the sensitive evaluation of miRNA-21 in total RNA extracted from various human cancer cell lines and normal cell lines. Additionally, the greatly satisfactory outcomes in the analysis of human serum samples suggested that the proposed biosensor was a powerful screening candidate in early clinical diagnosis of cancer.

Quality assessment of Red Yeast Rice by fingerprint and fingerprint-effect relationship combined with antioxidant activity.

Red Yeast Rice (RYR) is an important functional food ingredient that plays a critical role in promoting dietary guidance and maintaining health. To ensure its quality, four key compounds were quantified, and both HPLC fingerprint and electrochemical fingerprint (ECFP) were applied to assess quality. Additionally, 2,2'-azino-bis (3-ethylbenzothiazoline-6-sulfonic acid) (ABTS+•) scavenging test and ECFP were applied to assay the total antioxidant activity, with ascorbic acid as the positive control. The results showed that the holistic quality of samples was divided into 4 grades based on HPLC fingerprint analysis by the comprehensive linear quantitative fingerprint method. Additionally, the area of the total peak (Atp) in ECFP was found to be linearly correlated with the antioxidant activity (R > 0.99). A further fingerprint-efficacy relationship analysis determined the significant contributions to the antioxidant activity of peaks 20-Daidzein, 21-Glycitein, and 24-Genistein. Overall, this study suggested a comprehensive and reliable approach to the quality assessment of RYR.