RÉSUMÉ
The analysis of ammonia nitrogen in real water samples is challenging due to matrix interferences and difficulties for rapid on-site analysis.On the basis of the standard method,i.e.water quality-determination of ammonia nitrogen-salicylic acid spectrophotometry(HJ 536-2009),a simple device for online detecting ammonia nitrogen was developed using a sequential injection analysis(SIA)system in this work.The ammonia nitrogen transformation system,color reaction system,and detection system were built in compatible with the SIA system,respectively.In particular,the detection system was assembled by employing light-emitting diode as the light source,photodiode as the detector,and polyvinylchloride tube as the cuvette,thus significantly reducing the volume,energy consumption and fabricating cost of the detection system.As a result,the accurate analysis of ammonia nitrogen in complex water samples was achieved.A quantitative detection of ammonia nitrogen in water sample was obtained in 12 min,along with linear range extending to 1000 μmol/L,precisions(Relative standard deviation,RSD)of 4.3%(C=10 μmol/L,n=7)and 4.2%(C=500 μmol/L,n=7),and limit of detection(LOD)of 0.65 μmol/L(S/N=3,n=7).The results of interfering experiments showed that the detection of ammonia nitrogen by the developed device was not interfered by the common coexisting ions and components,therefore the environmental water could be directly analyzed,such as reservoir water,domestic sewage,sea water and leachate of waste landfill.The analytical results were consistent with those obtained by the environmental protection standard method(Water quality determination of ammonia nitrogen-salicylic acid spectrophotometry,HJ 536-2009).In addition,the spiking recoveries were in the range of 92.3%-98.1%,further confirming the accuracy and practicality of the developed device.
RÉSUMÉ
A new derivative of ordered mesoporous carbon (GSH-CMK-3) has been prepared by chemical modification and functionalization of ordered mesoporous carbon with glutathione. The composite was fully characterized by means of Fourier transforming infrared spectroscopy (FT-IR), scanning electron microscope (SEM) image and thermogravimetric analysis (TGA). GSH-CMK-3 showed favorable chemical stability, thermal stability and excellent adsorption performance toward Cd2+and a maximum adsorption capacity of 87.87 mg/g was achieved. The adsorption kinetic follows pseudo-second-order adsorption model. In a sequential injection mini-column separation system, 0. 006 mol/L sulfourea (in 0. 2 mol/L HNO3) was adopted as eluent and the elution efficiency was 96%. With a sample volume of 1000 μL and 50 μL of eluate, an enrichment factor of 17.3 was obtained. A procedure for on-line selective separation and preconcentration of trace Cd2+was developed by graphite furnace atomic absorption spectrometry. Along with a detection limit of 1.9 ng/L (n=7,3σ) and a linear range of 0.05-0.20 μg/L, a RSD of 2.9% (n=13,100 ng/L) was achieved. The method was validated by analyzing Cd2+in a certified reference material GBW08608.
RÉSUMÉ
Objective: To analyze the incidences of anxiety, depression in patients with chronic heart failure (CHF) and their correlations to quality of life and cognitive emotion regulation. Methods: The forms of short health survey item (SF-36), self-rating depression scale (SDS), self-rating anxiety scale (SAS) and cognitive emotion regulation questionnaire (CERQ) were used to conduct a survey in 200 CHF patients admitted in our hospital. Results: The incidences of anxiety and depression were 71.0％ and 64.5％ in CHF patients. NYHA grading, rational analysis, self-blame in cognitive emotion regulation and physical role, general health, emotional role in quality of life were the impact factors for anxiety. NYHA grading, rational analysis and catastrophizing, positive reappraisal in cognitive emotion regulation and general health, social functional role, physical role in quality of life were the impact factors for depression. Conclusion: The incidences of anxiety and depression were high in CHF patients; NYHA grading, quality of life and the cognitive emotion regulation were the impact factors for anxiety and depression occurrence in CHF patients.
RÉSUMÉ
Objective: To analyze the incidences of anxiety, depression in patients with chronic heart failure (CHF) and their correlations to quality of life and cognitive emotion regulation. Methods: The forms of short health survey item (SF-36), self-rating depression scale (SDS), self-rating anxiety scale (SAS) and cognitive emotion regulation questionnaire (CERQ) were used to conduct a survey in 200 CHF patients admitted in our hospital. Results: The incidences of anxiety and depression were 71.0％ and 64.5％ in CHF patients. NYHA grading, rational analysis, self-blame in cognitive emotion regulation and physical role, general health, emotional role in quality of life were the impact factors for anxiety. NYHA grading, rational analysis and catastrophizing, positive reappraisal in cognitive emotion regulation and general health, social functional role, physical role in quality of life were the impact factors for depression. Conclusion: The incidences of anxiety and depression were high in CHF patients; NYHA grading, quality of life and the cognitive emotion regulation were the impact factors for anxiety and depression occurrence in CHF patients.
RÉSUMÉ
To evaluate the efficacy of an ultrasound-based quantitative method to diagnose liver fibrosis using a rat model. Ultrasonography was performed on the livers of 90 Sprague-Dawley rats with or without thioacetamide-induced fibrosis. The liver capsule thickness and 13 texture parameters of gray level co-occurrence matrix were extracted from the standard sonograms. After sacrifice, severity of liver fibrosis (S0-S4 classification) was diagnosed by histopathology. Analysis of variance and correlation statistical tests were used to analyze the differences between groups and determine the relationships between each of the 14 quantitative ultrasound index points and the histological results, respectively. Discriminant analysis models were developed for quantitative diagnosis of liver fibrosis, and the leave-one-case-out method was used to verify the efficiency of models. All 14 indices were significantly correlated with the histological stages of fibrosis (P less than 0.05). The accuracy of the discriminant model for S0, S1, S2, S3 and S4 was 83.3%, 84.2%, 70.0%, 50.0% and 88.2%, respectively. In addition, 73.3% of cross-validated rats were accurately classified. Grouping S0 as no fibrosis, S1 as mild fibrosis, S2 with S3 as moderate to severe fibrosis and S4 as early cirrhosis increased the accuracy of the discriminant model for these four groups (respectively, 91.7%, 84.2%, 69.0% and 88.2%) and allowed for 78.9% of cross-validated rats to be correctly identified. Ultrasonography combined with texture analysis was a novel and accurate method to diagnose liver fibrosis in a rat model; further studies may provide insights into its applicability for quantitating liver fibrosis in other animal models or in clinic.