Breast-conserving surgery versus modified radical mastectomy in T1-2N3M0 stage breast cancer: a propensity score matching analysis.

PURPOSE: Breast-conserving surgery (BCS) plus radiotherapy and mastectomy exhibit highly comparable prognoses for early-stage breast cancer; however, the safety of BCS for T1-2N3M0 breast cancer remains unclear. This study compared long-term survival for BCS versus (vs.) modified radical mastectomy (MRM) among patients with T1-2N3M0 breast cancer. METHODS: Data of patients with T1-2N3M0 breast cancer were extracted from the Surveillance, Epidemiology, and End Results database. Eligible patients were divided into 2 groups, BCS and MRM; Pearson's chi-squared test was used to estimate differences in clinicopathological features. Propensity score matching (PSM) was used to balance baseline characteristics. Univariate and multivariate analyses were performed to investigate the effects of surgical methods and other factors on breast cancer-specific survival (BCSS) and overall survival (OS). RESULTS: In total, 2124 patients were included; after PSM, 596 patients were allocated to each group. BCS exhibited the same 5-year BCSS (77.9% vs. 77.7%; P = 0.814) and OS (76.1% vs. 74.6%; P = 0.862) as MRM in the matched cohorts. Multivariate survival analysis revealed that BCS had the same BCSS and OS as MRM (hazard ratios [HR] 0.899 [95% confidence intervals (CI) 0.697-1.160], P = 0.413 and HR 0.858 [95% CI 0.675-1.089], P = 0.208, respectively); this was also seen in most subgroups. BCS demonstrated better BCSS (HR 0.558 [95% CI 0.335-0.929]; P = 0.025) and OS (HR 0.605 [95% CI 0.377-0.972]; P = 0.038) than MRM in those with the triple-negative subtype. CONCLUSIONS: BCS has the same long-term survival as MRM in T1-2N3M0 breast cancer and may be a better choice for triple-negative breast cancer.

Correlation of Serum Bilirubin with Clinical and Pathological Characteristics of Patients with IgA Nephropathy.

OBJECTIVE: To investigate the correlations of total bilirubin (TBIL), direct bilirubin (DBIL), and indirect bilirubin (IBIL) with various clinical indicators and pathological features of patients with IgA nephropathy (IgAN). METHODS: Patients diagnosed with IgAN were included and divided into low and high TBIL/DBIL/IBIL groups. Correlation analysis was performed to assess the relationships between the bilirubin indices and other clinical and pathological variables. Logistic regression was applied to identify the independent risk factors of mesangial cell proliferation (corresponding to M1 in the Oxford classification of IgAN). RESULTS: Totally 192 patients with IgAN were included, and the patient clinical indicators were compared between the different bilirubin subgroups. Compared to the groups with higher TBIL, DBIL, and IBIL levels, groups with lower values of these bilirubin indices exhibited a higher 24-hour urine protein (24hUP) concentration but a lower proportion of males as well as reduced total protein, albumin, haemoglobin, and glutamic-pyruvic transaminase levels (p < 0.05). Moreover, the low-DBIL group displayed higher total cholesterol, triglyceride, and low-density lipoprotein (LDL) concentrations (p < 0.05) than those in the high DBIL group. Spearman analysis further revealed that TBIL, DBIL, and IBIL were negatively correlated with 24hUP and positively correlated with haemoglobin, total protein, and albumin (p < 0.05). Additionally, DBIL exhibited negative correlations with total cholesterol, triglyceride, and LDL (p < 0.05). From a pathological perspective, M1 incidence was higher in the low TBIL and IBIL groups (both p < 0.05). Furthermore, the high IBIL group showed a lower occurrence of cellular/fibrocellular crescents (C1 (in at least one glomerulus) and C2 (in >25% of glomeruli) in the Oxford classification, p < 0.05). Lastly, the multivariate regression model suggested that IBIL was an independent protective factor for M1 (odds ratio = 0.563, 95% confidence interval = 0.344-0.921, p = 0.022). CONCLUSIONS: Patients with IgAN accompanied by low values of bilirubin indices exhibit worsened disease-related clinical indicators (24hUP, total protein, albumin, and haemoglobin levels). Reduced TBIL and IBIL concentrations are indicative of severe renal pathology, with IBIL being a protective factor against M1.

Sulfadiazine detection in aquatic products using upconversion nanosensor based on photo-induced electron transfer with imidazole ligands and copper ions.

Contamination of aquatic products with sulfonamide antibiotics poses a threat to consumer health and can lead to the emergence of drug-resistant bacteria. Common methods to detect such compounds are slow and require expensive instruments. We developed a sensitive sulfadiazine (SDZ) detection method based on the photoinduced electron transfer between UCNPs and Cu2+. The surface-modified upconversion nanoparticles bind to Cu2+ by electrostatic adsorption, causing fluorescence quenching. The quenched fluorescence was subsequently recovered by the addition of imidazole and SDZ to the detection system, which formed a complex with Cu2+. The sensor showed excellent linearity over a wide concentration range (0.05-1000 ng/mL), had a low limit of detection (0.04 ng/mL), was selective, and was not affected by common substances present in aquatic media. This indicates that the sensor has great potential for application in the detection of SDZ residues in aquatic products.

The Role of Cuproptosis Key Factor FDX1 in Gastric Cancer.

BACKGROUND: Gastric cancer is a common malignant tumor of the digestive tract, both domestically and internationally. It has high incidence and mortality rates, posing a significant threat to human health. The levels of blood copper are elevated in patients with gastric cancer. However, the exact relationship between copper overload and the malignant phenotype of gastric cancer is still unclear. This study aims to investigate the role of the Cuproptosis-related factor FDX1 in the conversion of gastric cancer to a malignant phenotype. METHODS: Firstly, the relative mRNA and protein expression levels of FDX1 in gastric cancer were detected. Secondly, lentiviral transfection of gastric cancer cell lines was performed, and the effects of FDX1 functional intervention on the proliferation, invasion and migration of gastric cancer cells were assessed by CCK-8, colony formation, EdU proliferation, cell scratch and Transwell assays. Thirdly, the differential alteration of genes after overexpression of FDX1 was also analyzed by transcriptome sequencing. Finally, we assessed the tumour-forming capacity in vivo by the xenograft model. RESULTS: FDX1 is significantly upregulated in gastric cancer. The inhibition of FDX1 function results in the suppression of malignant phenotypic transformation in gastric cancer cells. Conversely, overexpression of FDX1 function leads to alterations in tumor-related signaling pathways and the tumor microenvironment. CONCLUSION: FDX1 plays a significant role in the malignant phenotypic transformation of gastric cancer cells. Further investigation into the regulatory mechanism of FDX1 in the malignant transformation of gastric cancer will enhance our understanding of the involvement of Cuproptosis in gastric cancer.

An electrochemiluminescent dual-signal immunosensor based on a Ru(bpy)32+-doped silica nanoparticle/copper nanocluster composite for okadaic acid detection.

In this study, a sensitive dual-signal electrochemiluminescence (ECL) immunosensor was developed for okadaic acid (OA) detection utilizing copper nanoclusters (CuNCs) and Ru(bpy)32+-doped silica nanoparticles (RuSiNPs). Interestingly, the CuNCs could simultaneously enhance both cathodic (-0.95 V) and anodic (+1.15 V) ECL signals of RuSiNPs, forming a dual-signal ECL sensing platform. Further, RuSiNPs@CuNCs were used as immunomarkers by covalently conjugating them with an anti-OA monoclonal antibody (mAb) to form probes. Finally, dual ECL signals of the immunosensor were fabricated and showed good linear relationships with OA concentrations in the range of 0.05-70 ng mL-1, having a median inhibitory concentration (IC50) of 1.972 ng mL-1 and a limit of detection of 0.039 ng mL-1. Moreover, the constant ratio of the cathodic and anodic ECL peaks achieved self-calibration of the detection signal and improved the reliability of the results. Finally, we successfully applied the ECL sensor to detect OA in spiked oyster samples.

The relationship between social withdrawal and problematic social media use in Chinese college students: a chain mediation of alexithymia and negative body image.

This study explores the relationship between social withdrawal and problematic social media use among college students, with a focus on the mediating roles of alexithymia and negative body image. Using the University Student Social Withdrawal Questionnaire, Social Media Addiction Scale, Toronto Alexithymia Scale, and Negative Body Image Scale, 2582 college students (33.46% male, average age = 19.46 years, SD = 2.23) were surveyed. Social withdrawal, alexithymia, negative body image, and problematic social media use were significantly correlated with each other. Social withdrawal positively predicted problematic social media use, and both alexithymia and negative body image played a chain mediating role between social withdrawal and problematic social media use. The findings indicate that individual social withdrawal is associated with college students' problematic use of social media. The results suggest that alexithymia and negative body image may mediate this association, highlighting a potential pathway through which social withdrawal influences social media use patterns.

Childhood maltreatment, shame, and self-esteem: an exploratory analysis of influencing factors on criminal behavior in juvenile female offenders.

OBJECTIVE: This study aimed to investigate the relationships between childhood maltreatment, shame, and self-esteem among juvenile female offenders and to explore the potential influencing factors on their criminal behavior. METHODS: Using a stratified cluster sampling method, 1,227 juvenile female offenders from 11 provinces in China were surveyed using the Childhood Trauma Questionnaire (CTQ), Self-Esteem Scale (SES), and a self-developed Shame Questionnaire for Juvenile Offenders. Data were analyzed using descriptive statistics, correlation analysis, chi-square tests, t-tests, and structural equation modeling with mediation analysis. RESULTS: (1) Childhood maltreatment have a significant potential influencing factors on criminal behavior; (2) Childhood maltreatment was positively correlated with self-esteem(ß = 0.351, p < 0.001); (3) shame (ß = 0.042, p < 0.001) mediate the relationship between Childhood maltreatment and self-esteem (childhood maltreatment → shame → self-esteem (95% Cl: 0.033, 0.052)). CONCLUSION: This study demonstrates that childhood maltreatment is a significant predictor of criminal behavior among juvenile female offenders. childhood maltreatment can directly influence of self-esteem, which can also affect juvenile female offenders'self-esteem indirectly through shame. The findings suggest that shame are important variables that mediate the effect of the juvenile female offenders'childhood maltreatment on their self-esteem.

Population pharmacokinetics of daptomycin in critically ill patients receiving extracorporeal membrane oxygenation.

BACKGROUND: Daptomycin is widely used in critically ill patients for Gram-positive bacterial infections. Extracorporeal membrane oxygenation (ECMO) is increasingly used in this population and can potentially alter the pharmacokinetic (PK) behaviour of antibiotics. However, the effect of ECMO has not been evaluated in daptomycin. Our study aims to explore the effect of ECMO on daptomycin in critically ill patients through population pharmacokinetic (PopPK) analysis and to determine optimal dosage regimens based on both efficacy and safety considerations. METHODS: A prospective, open-label PK study was carried out in critically ill patients with or without ECMO. The total concentration of daptomycin was determined by UPLC-MS/MS. NONMEM was used for PopPK analysis and Monte Carlo simulations. RESULTS: Two hundred and ninety-three plasma samples were collected from 36 critically ill patients, 24 of whom received ECMO support. A two-compartment model with first-order elimination can best describe the PK of daptomycin. Creatinine clearance (CLCR) significantly affects the clearance of daptomycin while ECMO has no significant effect on the PK parameters. Monte Carlo simulations showed that, when the MICs for bacteria are  ≥1 mg/L, the currently recommended dosage regimen is insufficient for critically ill patients with CLCR > 30 mL/min. Our simulations suggest 10 mg/kg for patients with CLCR between 30 and 90 mL/min, and 12 mg/kg for patients with CLCR higher than 90 mL/min. CONCLUSIONS: This is the first PopPK model of daptomycin in ECMO patients. Optimal dosage regimens considering efficacy, safety, and pathogens were provided for critical patients based on pharmacokinetic-pharmacodynamic analysis.

Comprehensive analysis of human monocyte subsets using full-spectrum flow cytometry and hierarchical marker clustering.

Introduction: Exploring monocytes' roles within the tumor microenvironment is crucial for crafting targeted cancer treatments. Methods: This study unveils a novel methodology utilizing four 20-color flow cytometry panels for comprehensive peripheral immune system phenotyping, specifically targeting classical, intermediate, and non-classical monocyte subsets. Results: By applying advanced dimensionality reduction techniques like t-distributed stochastic neighbor embedding (tSNE) and FlowSom analysis, we performed an extensive profiling of monocytes, assessing 50 unique cell surface markers related to a wide range of immunological functions, including activation, differentiation, and immune checkpoint regulation. Discussion: This in-depth approach significantly refines the identification of monocyte subsets, directly supporting the development of personalized immunotherapies and enhancing diagnostic precision. Our pioneering panel for monocyte phenotyping marks a substantial leap in understanding monocyte biology, with profound implications for the accuracy of disease diagnostics and the success of checkpoint-inhibitor therapies. Key findings include revealing distinct marker expression patterns linked to tumor progression and providing new avenues for targeted therapeutic interventions.

Nomogram for Risk of Secondary Venous Thromboembolism in Stroke Patients: A Study Based on the MIMIC-IV Database.

This study aims to identify risk factors for secondary venous thromboembolism (VTE) in stroke patients and establish a nomogram, an accurate predictor of probability of VTE occurrence during hospitalization in stroke patients. Medical Information Mart for Intensive Care IV (MIMIC-IV) database of critical care medicine was utilized to retrieve information of stroke patients admitted to the hospital between 2008 and 2019. Patients were randomly allocated into train set and test set at 7:3. Univariate and multivariate logistic regression analyses were used to identify independent risk factors for secondary VTE in stroke patients. A predictive nomogram model was constructed, and the predictive ability of the nomogram was evaluated using receiver operating characteristic (ROC) curves, calibration curves, and decision curve analysis (DCA). This study included 266 stroke patients, with 26 patients suffering secondary VTE after stroke. A nomogram for predicting risk of secondary VTE in stroke patients was built according to pulmonary infection, partial thromboplastin time (PTT), log-formed D-dimer, and mean corpuscular hemoglobin (MCH). Area under the curve (AUC) of the predictive model nomogram was 0.880 and 0.878 in the train and test sets, respectively. The calibration curve was near the diagonal, and DCA curve presented positive net benefit. This indicates the model's good predictive performance and clinical utility. The nomogram effectively predicts the risk probability of secondary VTE in stroke patients, aiding clinicians in early identification and personalized treatment of stroke patients at risk of developing secondary VTE.

Item performance of the scale for the assessment and rating of ataxia in rare and ultra-rare genetic ataxias.

The Scale for the Assessment and Rating of Ataxia (SARA) is widely used for assessing the severity and progression of genetic cerebellar ataxias. SARA is now considered a primary end point in several ataxia treatment trials, but its underlying composite item measurement model has not yet been tested. This work aimed to evaluate the composite properties of SARA and its items using item response theory (IRT) and to demonstrate its applicability across even ultra-rare genetic ataxias. Leveraging SARA subscores data from 1932 visits from 990 patients of the Autosomal Recessive Cerebellar Ataxias (ARCA) registry, we assessed the performance of SARA using IRT methodology. The item characteristics were evaluated over the ataxia severity range of the entire ataxia population as well as the assessment validity across 115 genetic ARCA subpopulations. A unidimensional IRT model was able to describe SARA item data, indicating that SARA captures one single latent variable. All items had high discrimination values (1.5-2.9) indicating the effectiveness of the SARA in differentiating between subjects with different disease statuses. Each item contributed between 7% and 28% of the total assessment informativeness. There was no evidence for differences between the 115 genetic ARCA subpopulations in SARA applicability. These results show the good discrimination ability of SARA with all of its items adding informational value. The IRT framework provides a thorough description of SARA on the item level, and facilitates its utilization as a clinical outcome assessment in upcoming longitudinal natural history or treatment trials, across a large number of ataxias, including ultra-rare ones.

Ratiometric fluorescence method comprising carbon dots and rhodamine 6G encapsulated in metal-organic framework microcubes for curcumin detection.

A ratiometric fluorescence method comprising carbon dots (CDs) and rhodamine 6G (Rh-6G) encapsulated in the microcubes of metal-organic framework (MOF-5) is introduced for the sensitive detection of curcumin (Cur) in condiments. CDs@MOF-5@Rh-6G, synthesized by the adsorption of Rh-6G on MOF-5 embedded with CDs, showed two distinct emission peaks at 435 and 560 nm under excitation at 335 nm, and could be used for Cur detection by ratiometric fluorescence. In the presence of Cur, the fluorescence of the CDs at 435 nm (F435) was quenched by Cur owing to internal filtering and dynamic quenching effects, whereas the emission of Rh-6G at 560 nm (F560) remained unchanged (335 nm is the excitation wavelength, 435 and 560 nm are the emission wavelengths, in which F435/F560 values are used as the output results). Under optimal conditions, a linear relationship was observed between the Cur concentration (in the range 0.1-5 µmol/L) and F435/F560 value for CDs@MOF-5@Rh-6G, with a detection limit of 15 nmol/L. Notably, the proposed method could accurately detect Cur in mustard, curry, and red pepper powders. Therefore, this study could improve the quality control of food and facilitate the development of sensitive ratiometric fluorescence probes.

Balanced Solution versus Normal Saline in Predicted Severe Acute Pancreatitis: A Stepped Wedge Cluster Randomized Trial.

OBJECTIVE: To compare the effect of balanced multielectrolyte solutions(BMES) versus normal saline(NS) for intravenous fluid on chloride levels and clinical outcomes.in patients with predicted severe acute pancreatitis (pSAP). SUMMARY BACKGROUND DATA: Isotonic crystalloids are recommended for initial fluid therapy in acute pancreatitis, but whether the use of BMES in preference to NS confers clinical benefits is unknown. METHODS: In this multicenter, stepped-wedge, cluster-randomized trial, we enrolled patients with pSAP (APACHE II score ≥8 and C-reactive protein >150 mg/L) admitted within 72 hours of the advent of symptoms. The study sites were randomly assigned to staggered start dates for one-way crossover from the NS phase (NS for intravenous fluid) to the BMES phase(Sterofudin for intravenous fluid). The primary endpoint was the serum chloride concentration on trial day3. Secondary endpoints included a composite of clinical and laboratory measures. RESULTS: Overall, 259 patients were enrolled from eleven sites to receive NS(n=147) or BMES(n=112). On trial day3, the mean chloride level was significantly lower in patients who received BMES(101.8 mmol/L(SD4.8) versus 105.8 mmol/L(SD5.9), difference -4.3 mmol/L [95%CI -5.6 to -3.0 mmol/L];P<0.001). For secondary endpoints, patients who received BMES had less systemic inflammatory response syndrome(19/112,17.0% versus 43/147,29.3%, P=0.024) and increased organ failure-free days (3.9 d(SD2.7) versus 3.5days(SD2.7), P<0.001) by trial day7. They also spent more time alive and out of ICU(26.4 d(SD5.2) versus 25.0days(SD6.4), P=0.009) and hospital(19.8 d(SD6.1) versus16.3days(SD7.2), P<0.001) by trial day30. CONCLUSIONS: Among patients with pSAP, using BMES in preference to NS resulted in a significantly more physiological serum chloride level, which was associated with multiple clinical benefits(Trial registration number: ChiCTR2100044432).

Upconversion fluorescence nanosensor based on enzymatic inhibited and copper-triggered o-phenylenediamine oxidation for the detection of dimethoate pesticides.

Pesticide residues in agricultural products pose a significant threat to human health. Herein, a sensitive fluorescence method employing upconversion nanoparticles was developed for detecting organophosphorus pesticides (OPs) based on the principle of enzyme inhibition and copper-triggered o-phenylenediamine (OPD) oxidation. Copper ions (Cu2+) oxidized the colorless OPD to a yellow 2,3-diaminophenazine (oxOPD). The yellow solution oxOPD quenched the fluorescence of upconversion nanoparticles due to the fluorescence resonance energy transfer. The high affinity of Cu2+ for thiocholine reduced the level of oxOPD, resulting in almost no fluorescence quenching. The addition of dimethoate led to the inhibition of acetylcholinesterase activity and thus prevented the formation of thiocholine. Subsequently, Cu2+ oxidized OPD to form oxOPD, which attenuated the fluorescence signal of the system. The detection system has a good linear range of 0.01 ng/mL to 50 ng/mL with a detection limit of 0.008 ng/mL, providing promising applications for rapid detection of dimethoate.

Optofluidic crystallithography for directed growth of single-crystalline halide perovskites.

Crystallization is a fundamental phenomenon which describes how the atomic building blocks such as atoms and molecules are arranged into ordered or quasi-ordered structure and form solid-state materials. While numerous studies have focused on the nucleation behavior, the precise and spatiotemporal control of growth kinetics, which dictates the defect density, the micromorphology, as well as the properties of the grown materials, remains elusive so far. Herein, we propose an optical strategy, termed optofluidic crystallithography (OCL), to solve this fundamental problem. Taking halide perovskites as an example, we use a laser beam to manipulate the molecular motion in the native precursor environment and create inhomogeneous spatial distribution of the molecular species. Harnessing the coordinated effect of laser-controlled local supersaturation and interfacial energy, we precisely steer the ionic reaction at the growth interface and directly print arbitrary single crystals of halide perovskites of high surface quality, crystallinity, and uniformity at a high printing speed of 102 µm s-1. The OCL technique can be potentially extended to the fabrication of single-crystal structures beyond halide perovskites, once crystallization can be triggered under the laser-directed local supersaturation.

Silane Doping for Efficient Flexible Perovskite Solar Cells with Improved Defect Passivation and Device Stability.

In this work, doping 3-amino-propyl triethoxysilane (APTES) into a perovskite precursor is proven to be an effective strategy, which can passivate crystal defects, control the crystallization rate, and improve the morphology. APTES can form oligomers through hydrolysis and a condensation reaction, thus blocking the invasion of external water molecules. In addition, the lone pair electrons on the N atom in the amino group of APTES form a coordination bond with perovskite by sharing the empty 6p orbital on Pb2+, which can effectively passivate the defects of the film and realize a highly uniform and dense perovskite film with preferential crystal growth orientation. The film exhibits high (110) crystal plane orientation and long carrier lifetime and mobility, which improves the performance of flexible perovskite solar cells. Using this approach, the champion device presents an optimal power conversion efficiency of 19.84% with much promoted air stability. Moreover, the efficiency of flexible devices does not decrease after maximum power point irradiation for 360 s.

A Sporadic Family of Lipoid Proteinosis with Novel ECM1 Gene Mutations.

Lipoid proteinosis (LP) is an uncommon, autosomal recessive genetic disorder. Multigene panel testing was conducted to confirm the diagnosis of a sporadic family with suspected LP. In the proband, we identified two mutations of ECMI and provided genetic evidence for informed genetic counselling.

Sulfasalazine-induced drug reaction with eosinophilia and systemic symptoms (DRESS) coinfected with COVID-19 complicated by hemophagocytic lymphohistiocytosis: a case report.

Drug Reaction with Eosinophilia and Systemic Symptoms (DRESS) is characterized by a widespread maculopapular rash, lymphadenopathy, fever, and multisystem involvement. Conversely, hemophagocytic lymphohistiocytosis (HLH) is an infrequent yet critical condition presenting with fever, hepatosplenomegaly, cytopenias, coagulation abnormalities, and elevated inflammatory markers. The overlapping clinical and laboratory features between DRESS and HLH poses a significant diagnostic challenge. Secondary HLH (sHLH) typically occurs in adults triggered by viral infections, malignancies, rheumatologic diseases, or immune deficiencies. Recently, COVID-19 has also been identified as one of the triggers for sHLH. Herein, we present a case of Sulfasalazine-induced DRESS coinfected with COVID-19 that subsequently progressed into HLH. Our patient exhibited common hepatorenal and splenic involvement along with rare cholecystitis and appendicitis. However, a significant improvement was observed upon the addition of etoposide and azathioprine. We hypothesize that excessive activation of the immune system and cytokine storm due to DRESS combined with COVID-19 infection led to more extensive systemic damage resulting in HLH development. This highlights the potential for severe consequences when DRESS coincides with HLH during a COVID-19 infection.

Crosstalk between metabolism and cell death in tumorigenesis.

It is generally recognized that tumor cells proliferate more rapidly than normal cells. Due to such an abnormally rapid proliferation rate, cancer cells constantly encounter the limits of insufficient oxygen and nutrient supplies. To satisfy their growth needs and resist adverse environmental events, tumor cells modify the metabolic pathways to produce both extra energies and substances required for rapid growth. Realizing the metabolic characters special for tumor cells will be helpful for eliminating them during therapy. Cell death is a hot topic of long-term study and targeting cell death is one of the most effective ways to repress tumor growth. Many studies have successfully demonstrated that metabolism is inextricably linked to cell death of cancer cells. Here we summarize the recently identified metabolic characters that specifically impact on different types of cell deaths and discuss their roles in tumorigenesis.

Anchoring CeF3 nanoparticles on porous carbon nanofibers as self-supporting electrodes for highly sensitive detection of nitrite.

Designing a working electrode is crucial for the reliable electrochemistry detection, which is applied to detect toxic and harmful substances sensitively and rapidly. Here we report the polytetrafluoroethylene decomposition-assisted electrospinning, a combination method for creating nanopore and synthesizing CeF3, to prepare the self-supporting electrode of CeF3 nanoparticles-anchored on porous carbon nanofibers (CeF3/PCNFs) for highly sensitive nitrite detection. The CeF3/PCNFs exhibits remarkable electroactivity toward nitrite detection, featuring a wide concentration range (0.5 µM-6 mM), low detection limit (10 nm) and high sensitivity (2093 µA mM-1 cm-2). It also exhibits excellent selectivity, stability and reproducibility, and powerful reliability for nitrite detection in saliva, pickles, sausages, chips, river water and tap water. This study provides a facile strategy to prepare the metal fluoride-based self-supporting electrode, which overcomes the disadvantages of chemically modified electrodes unstable and poorly reproducible, and is significant for clinical diagnosis, food safety and environmental monitoring.