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        Study on Mg^(2+) removal from ammonium dihydrogen phosphate solution by solvent extraction with di-2-ethylhexyl phosphoric acid

        JianHong Luo,Jun Li,Kun Zhou,Yang Jin 한국화학공학회 2011 Korean Journal of Chemical Engineering Vol.28 No.4

        The extraction of Mg^(2+) from ammonium dihydrogen phosphate (MAP) solution by extractant (D2EHPA)and its mixture, including acidic extractant (HEHPEHE), alkaline extractant (TOA) and neutral extractant (TBP) respectively,is investigated. The good extraction selectivity of Mg^(2+) with D2EHPA from ammonium dihydrogen phosphate solution is verified, which is found to be associated with the cation exchange and chelation capability of D2EHPA on the basis of its molecular structure. The related thermodynamic data are also obtained in terms of experimental results as follows: the extraction enthalpy is 2.659×10^(−2) (J·mol^(−1)·K^(−1)), the free energy is 1.501×10^3 (J·mol^(−1)) and the entropy is 4.441 (J·mol^(−1)). Meanwhile, the major influencing factors, such as the initial pH, the initial concentration of extractant,phase ratio and the extraction temperature on the extraction ratios of Mg^(2+), are studied, and the optimal process conditions are obtained. As shown in the extraction experiments for practical MAP solution, superior grade MAP can be obtained by three levels of extraction under optimal condition.

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        Study on the removal of chromium(III) from leather waste by a two-step method

        Li Wang,Jun Liu,Yang Jin,Ming Chen,JianHong Luo,Xinhua Zhu,Yuqiang Zhang 한국공업화학회 2019 Journal of Industrial and Engineering Chemistry Vol.79 No.-

        The removal of chromium(III) from leather solid waste was carried out by two steps: the leaching stepand the ion exchange step. Orthogonal method was applied to the leaching process with H2SO4 asleaching agent and the leaching rate was nearly 100%. The adsorption and desorption of Cr3+ with 732#cation exchange resins were investigated in the ion exchange process. The effects of the resin types,temperature, rotating speed, liquid-solid ratio, initial Cr3+ concentration and time were investigated andthe optimum conditions were as follows: 732#, 333 K, 120 r/min, 20 ml/g, 280 ppm and 5 h. The removalefficiency of Cr3+ from leather hydrolysate was over 95% under optimized conditions. The desorptionefficiency of Cr3+ from loaded resins was almost 99% by three times cross-flow with Na2SO4 solution. There-adsorption of Cr3+ could achieve 95% by regenerated resins. The adsorption isotherms, kinetics andthermodynamics of Cr3+ onto 732# resins were investigated. The adsorption process appeared to followLangmuir isotherm model and the pseudo-second-order kinetic model. 4H0 = 33,816.03 kJ/mol and4S0 = 141.35 J/(mol K) were calculated. The two-step method was proved to be a sustainable andeconomic method for separating chromium from leather waste.

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        Development and Validation of a Nomogram Prediction Model for Endometrial Malignancy in Patients with Abnormal Uterine Bleeding

        Hengchao Ruan,Suhan Chen,Jingyi Li,Linjuan Ma,Jie Luo,Yizhou Huang,Qian Ying,Jianhong Zhou 연세대학교의과대학 2023 Yonsei medical journal Vol.64 No.3

        Purpose: This study aimed to identify the risk factors and sonographic variables that could be integrated into a predictive model for endometrial cancer (EC) and atypical endometrial hyperplasia (AEH) in women with abnormal uterine bleeding (AUB). Materials and Methods: This retrospective study included 1837 patients who presented with AUB and underwent endometrial sampling. Multivariable logistic regression was developed based on clinical and sonographic covariates [endometrial thickness (ET), resistance index (RI) of the endometrial vasculature] assessed for their association with EC/AEH in the development group (n=1369), and a predictive nomogram was proposed. The model was validated in 468 patients. Results: Histological examination revealed 167 patients (12.2%) with EC or AEH in the development group. Using multivariable logistic regression, the following variables were incorporated in the prediction of endometrial malignancy: metabolic diseases [odds ratio (OR)=7.764, 95% confidence intervals (CI) 5.042–11.955], family history (OR=3.555, 95% CI 1.055–11.971), age ≥40 years (OR=3.195, 95% CI 1.878–5.435), RI ≤0.5 (OR=8.733, 95% CI 4.311–17.692), and ET ≥10 mm (OR=8.479, 95% CI 5.440–13.216). A nomogram was created using these five variables with an area under the curve of 0.837 (95% CI 0.800–0.874). The calibration curve showed good agreement between the observed and predicted occurrences. For the validation group, the model provided acceptable discrimination and calibration. Conclusion: The proposed nomogram model showed moderate prediction accuracy in the differentiation between benign and malignant endometrial lesions among women with AUB.

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