Academic literature on the topic 'Ren jian jiao wang- li yi'

Graphene-based composites have received a great deal of attention in recent year because the presence of graphene can enhance the conductivity, strength of bulk materials and help create composites with superior qualities. Moreover, the incorporation of metal oxide nanoparticles such as Fe3O4 can improve the catalytic efficiency of composite material. In this work, we have synthesized a composite material with the combination of reduced graphene oxide (rGO), and Fe3O4 modified tissue-paper (mGO-PP) via a simple hydrothermal method, which improved the removal efficiency of the of methylene blue (MB) in water. MB blue is used as the model of contaminant to evaluate the catalytic efficiency of synthesized material by using a Fenton-like reaction. The obtained materials were characterized by SEM, XRD. The removal of materials with methylene blue is investigated by UV-VIS spectroscopy, and the result shows that mGO-PP composite is the potential composite for the color removed which has the removal efficiency reaching 65% in acetate buffer pH = 3 with the optimal time is 7 h. Keywords Graphene-based composite, methylene blue, Fenton-like reaction. References [1] Ma Joshi, Rue Bansal, Reng Purwar, Colour removal from textile effluents, Indian Journal of Fibre & Textile Research, 29 (2004) 239-259 http://nopr.niscair.res.in/handle/123456789/24631.[2] Kannan Nagar, Sundaram Mariappan, Kinetics and mechanism of removal of methylene blue by adsorption on various carbons-a comparative study, Dyes and pigments, 51 (2001) 25-40 https://doi.org/10.1016/S0143-7208(01)00056-0.[3] K Rastogi, J. N Sahu, B. C Meikap, M. N Biswas, Removal of methylene blue from wastewater using fly ash as an adsorbent by hydrocyclone, Journal of hazardous materials, 158 (2008) 531-540.https://doi.org/10.1016/j.jhazmat.2008.01. 105.[4] Qin Qingdong, Ma Jun, Liu Ke, Adsorption of anionic dyes on ammonium-functionalized MCM-41, Journal of Hazardous Materials, 162 (2009) 133-139 https://doi.org/10.1016/j.jhazmat. 2008.05.016.[5] Mui Muruganandham, Rps Suri, Sh Jafari, Mao Sillanpää, Lee Gang-Juan, Jaj Wu, Muo Swaminathan, Recent developments in homogeneous advanced oxidation processes for water and wastewater treatment, International Journal of Photoenergy, 2014 (2014). http://dx. doi.org/10.1155/2014/821674.[6] Herney Ramirez, Vicente Miguel , Madeira Luis Heterogeneous photo-Fenton oxidation with pillared clay-based catalysts for wastewater treatment: a review, Applied Catalysis B: Environmental, 98 (2010) 10-26 https://doi.org/ 10.1016/j.apcatb.2010.05.004.[7] Guo Rong, Jiao Tifeng, Li Ruifei, Chen Yan, Guo Wanchun, Zhang Lexin, Zhou Jingxin, Zhang Qingrui, Peng Qiuming, Sandwiched Fe3O4/carboxylate graphene oxide nanostructures constructed by layer-by-layer assembly for highly efficient and magnetically recyclable dye removal, ACS Sustainable Chemistry & Engineering, 6 (2017) 1279-1288 https://doi.org/10.1021/acssuschemeng.7b03635.[8] Sun Chao, Yang Sheng-Tao, Gao Zhenjie, Yang Shengnan, Yilihamu Ailimire, Ma Qiang, Zhao Ru-Song, Xue Fumin, Fe3O4/TiO2/reduced graphene oxide composites as highly efficient Fenton-like catalyst for the decoloration of methylene blue, Materials Chemistry and Physics, 223 (2019) 751-757 https://doi.org/ 10.1016/j.matchemphys.2018.11.056.[9] Guo Hui, Ma Xinfeng, Wang Chubei, Zhou Jianwei, Huang Jianxin, Wang Zijin, Sulfhydryl-Functionalized Reduced Graphene Oxide and Adsorption of Methylene Blue, Environmental Engineering Science, 36 (2019) 81-89 https://doi. org/10.1089/ees.2018.0157.[10] Zhao Lianqin, Yang Sheng-Tao, Feng Shicheng, Ma Qiang, Peng Xiaoling, Wu Deyi, Preparation and application of carboxylated graphene oxide sponge in dye removal, International journal of environmental research and public health, 14 (2017) 1301 https://doi.org/10.3390/ijerph14111301.[11] Yu Dandan, Wang Hua, Yang Jie, Niu Zhiqiang, Lu Huiting, Yang Yun, Cheng Liwei, Guo Lin, Dye wastewater cleanup by graphene composite paper for tailorable supercapacitors, ACS applied materials & interfaces, 9 (2017) 21298-21306 https://doi.org/10.1021/acsami.7b05318.[12] Wang Hou, Yuan Xingzhong, Wu Yan, Huang Huajun, Peng Xin, Zeng Guangming, Zhong Hua, Liang Jie, Ren MiaoMiao, Graphene-based materials: fabrication, characterization and application for the decontamination of wastewater and wastegas and hydrogen storage/generation, Advances in Colloid and Interface Science, 195 (2013) 19-40 https://doi. org/10.1016/j.cis.2013.03.009.[13] Marcano Daniela C, Kosynkin Dmitry V, Berlin Jacob M, Sinitskii Alexander, Sun Zhengzong, Slesarev Alexander, Alemany Lawrence B, Lu Wei, Tour James M, Improved synthesis of graphene oxide, ACS nano, 4 (2010) 4806-4814 https://doi.org/10.1021/nn1006368.[14] Zhang Jiali, Yang Haijun, Shen Guangxia, Cheng Ping, Zhang Jingyan, Guo Shouwu, Reduction of graphene oxide via L-ascorbic acid, Chemical Communications, 46 (2010) 1112-1114 http://doi. org/10.1039/B917705A [15] Gong Ming, Zhou Wu, Tsai Mon-Che, Zhou Jigang, Guan Mingyun, Lin Meng-Chang, Zhang Bo, Hu Yongfeng, Wang Di-Yan, Yang Jiang, Nanoscale nickel oxide/nickel heterostructures for active hydrogen evolution electrocatalysis, Nature communications, 5 (2014) 4695 https:// doi.org/10.1038/ncomms5695.[16] Wu Zhong-Shuai, Yang Shubin, Sun Yi, Parvez Khaled, Feng Xinliang, Müllen Klaus, 3D nitrogen-doped graphene aerogel-supported Fe3O4 nanoparticles as efficient electrocatalysts for the oxygen reduction reaction, Journal of the American Chemical Society, 134 (2012) 9082-9085 https://doi.org/10.1021/ja3030565.[17] Nguyen Son Truong, Nguyen Hoa Tien, Rinaldi Ali, Nguyen Nam Van, Fan Zeng, Duong Hai Minh, Morphology control and thermal stability of binderless-graphene aerogels from graphite for energy storage applications, Colloids and Surfaces A: Physicochemical and Engineering Aspects, 414 (2012) 352-358 https://doi.org/ 10.1016/j.colsurfa.2012.08.048.[18] Deng Yang, Englehardt James D, Treatment of landfill leachate by the Fenton process, Water research, 40 (2006) 3683-3694 https://doi.org/ 10.1016/j.watres.2006.08.009.

Today, the incidence of type 2 diabetes mellitus is increasing rapidly on global. This disease is shown with many complications that significantly affect public health. One of them is kidney complications, which have a high incidence among diabetic patients in Vietnam (25.6-33.1%). Age, history of hypertension, and dyslipidemia are considered to be the main risk factors for diabetic nephropathy. Thus, early detection of these factors for kidney damage is significant for diagnosing, monitoring, treatment, and prognosis of diabetic patients. Our descriptive, cross-sectional study conducting on 120 diabetic patients at E Hospital has observed that blood cholesterol levels, HbA1c levels were independently related to eGFR decline below 60 mL/min/1.73m2. From those data, an equation to predict the risk of diabetic kidney disease was estimated as p = with k = Keyword: Type 2 diabetes, Diabetic nephropathy, Risk factor Today, the incidence of type 2 diabetes mellitus is increasing rapidly on global. This disease is shown with many complications that significantly affect public health. One of them is kidney complications, which have a high incidence among diabetic patients in Vietnam (25.6-33.1%). Age, history of hypertension, and dyslipidemia are considered to be the main risk factors for diabetic nephropathy. Thus, early detection of these factors for kidney damage is significant for diagnosing, monitoring, treatment, and prognosis of diabetic patients. Our descriptive, cross-sectional study conducting on 120 diabetic patients at E Hospital has observed that blood cholesterol levels, HbA1c levels were independently related to eGFR decline below 60 mL/min/1.73m2. From those data, an equation to predict the risk of diabetic kidney disease was estimated as p = with k = Keyword Type 2 diabetes, Diabetic nephropathy, Risk factor. References [1] N. H. Cho, J. Kirigia, J. C. Mnanya, K. Ogurstova, L. Guraiguata, W. Rathmann, G. Roglic, N. Forouhi, R. Dajani, A. Esteghmati, E. Boyko, L. Hambleton, O. L. M. Neto, P. A. Montoya, S. Joshi, J. Chan, J. Shaw, T.A. Samuels, M. Pavkov, A. Reja, IDF Diabetes Atlas Eight Edition, International Diabete Federation, England, 2017.[2] N. T. Khue, Diabetes – General Endocrinology, Ho Chi Minh Publisher, Ho Chi Minh city, 2003 (in Vietnamese). [3] H. H. Kiem, Clinical Nephrology, Medical Publishing House, Hanoi, 2010 (in Vietnamese). [4] T. H. Quang, Practice Diabetes - Endocrine Disease, Medical Publishing House Hanoi, Hanoi, 2010 (in Vietnamese). [5] D. T. M. Hao, T. T. A. Thu, Diabetic Kidney Disease: Attention Problems, Vietnam Journal of Diabetes and Endocrinology, Vol. 38, 2020, pp. 12-17 (in Vietnamese), https://doi.org/10.47122/vjde.2020.38.2. [6] K. Tziomalos, A. Vasilios G, Diabetic Nephropathy: New Risk Factors and Improvements in Diagnosis, The Review of Diabetic Studies: RDS, Vol. 12, No. 1-2, 2015, pp. 110-118, https://doi.org/10.1900/RDS.2015.12.110.[7] American Diabetes Association, 2. Classification and Diagnosis of Diabetes: Standards of Medical Care in Diabetes-2020, Journal Diabetes Care, Vol. 43, No. 1, 2020, pp. S14, https://doi.org/10.2337/dc20-S002.[8] A. S. Levey, J. Coresh, E. Balk, A. T. Kausz, A. Levin, M. W. Steffes, R. J. Hogg, R. D. Perrone, J. Lau, G. Eknoyan, National Kidney Foundation Practice Guidelines for Chronic Kidney Disease: Evaluation, Classification, and Stratification, Ann Intern Med, Vol. 139, 2003, pp. 137-147, https://doi.org/10.7326/0003-4819-139-2-200307150-00013.[9] D. S. Freedman, M. Horlick, G. S. Berenson, A Comparison of The Slaughter Skinfold-thickness Equations and BMI in Predicting Body Fatness and Cardiovascular Disease Risk Factor Levels in Children, The American Journal of Clinical Nutrition, Vol. 98, No. 6, 2013, pp. 1417-1424, https://doi.org/10.3945/ajcn.113.065961.[10] National Heart, Lung and Blood Institutes, National Cholesterol Education Program: ATP III Guidelines at-a-glance Quick Desk Reference, https://www.nhlbi.nih.gov/files/docs/guidelines/atglance.pdf, (accessed on: 5th April 2021).[11] K. Eckardt, B. Kasiske, D. Wheeler, K. Uhlig, D. Miskulin, A. Earley, S. Haynes, J. Lamont, KDIGO 2012 Clinical Practice Guideline for the Evaluation and Management of Chronic Kidney Disease: Definition and Classification of CKD, Kidney International Supplements, Vol. 3, 2013, pp. 5-14, https://doi.org/10.1038/kisup.2012.77.[12] I. H. Boer, M. L. Caramori, J. C. N. Chan, H. J. L. Heerspink, C. Hurst, K. Khunti, A. Liew, E. D. Michos, S. D. navaneethan, P. Rossing, W. A. Olowu, T. Sadusky, N. Tandon, K. R. Tuttle, C. Wanner, K. G. Wilkens, S. Zoungas, KDIGO 2020 Clinical Practice Guideline for Diabetes Management in Chronic Kidney Disease, Kidney international, Vol. 98, No. 4S, 2020, pp. S1-S115, http://dx.doi.org/10.1016/j.kint.2020.06.019.[13] B. T. T. Huong, N. T. Giang, Values of Cystatin C in Early Diagnosis of Renal Disease in Patients with Typ 2 Diabetes in Thai Nguyen National Hospital, Vietnam Medical Journal, Vol. 498, No. 2, 2021, pp. 13-17 (in Vietnamese).[14] L. X. Truong, N. D. Tai, T. Q. P. Linh, T. T. Nhung, The Prevalence of The Positive Microalbumin Urine in The Type 2 Diabetic Patients at District 2 Hospital, Y Hoc TP. Ho Chi Minh, Vol. 22, No. 2, 2018, pp. 139-143 (in Vietnamese).[15] S. Yi, S. Park, Y. Lee, H Park, B. Balkau, J. Yi, Association Between Fasting Glucose and All-cause Mortality According to Sex and Age: A Prospective Cohort Study, Scientific Reports, Vol. 7, No. 1, 2017, pp. 1-9, https://doi.org/10.1038/s41598-017-08498-6.[16] R. Gupta, M. Sharma, N. K. Goyal, P. S. Lodha, K. K. Sharma, Gender Differences in 7 Years Trends in Cholesterol Lipoproteins and Lipids in India: Insights From A Hospital Database, Indian Journal of Endocrinology Metabolism, Vol. 20, No. 2, 2016, pp. 211-8, https://doi.org/10.4103/2230-8210.176362.[17] X. Zhang, Z. Meng, X. Li, M. Liu, X. Ren, M. Zhu, Q. He, Q Zhang, K. Song, Q. Jia, C. Zhang, X Wang, X. Liu, The Association Between Total Bilirubin and Serum Triglyceride in Both Sexes in Chinese, Lipids In Health and Disease, Vol. 17, No. 1, 2017, pp. 1-8, https://doi.org/10.1186/s12944-018-0857-7.[18] S. Palazhy, V. Viswanathan, Lipid Abnormalities in Type 2 Diabetes Mellitus Patients with Overt Nephropathy, Diabetes Metabolism Journal, Vol. 41, No. 2, 2017, pp. 128-134, https://doi.org/ 10.4093/dmj.2017.41.2.128.[19] R. I. Papacocea, D. Timofte, M. Tanasescu, A. Balcangiu stroescu, D. G. Balan, A. Tulin, O. Stiru, I. A. Vacaroiu, A. Mihai, C. C. Popa, C. Cosconel, M. Enyedi, D. Miricescu, L. Raducu, D. Ionescu, Kidney Aging Process and The Management of The Elderly Patient with Renal Impairment, Experimental and Therapeutic Medicine, Vol. 21, 2021, pp. 266, https://doi.org/10.3892/etm.2021.9697.[20] R. D. Lindeman, Overview: Renal Physiology and Pathophysiology of Aging, Am J Kidney Dis, Vol. 16, 1990, pp. 275–282, https://doi.org/10.1016/s0272-6386(12)80002-3.[21] G. Zoppini, G. Targher, M. Chonchol, V. Ortalda, C. Negri, V. Stoicio, E. Bonora, Predictors of Estimated GFR Decline in Patients With Type 2 Diabetes and Preserved Kidney Function, Clinical Journal of the American Society of Nephrology, Vol. 7, No. 3, 2012, pp. 401-408, https://doi.org/10.2215/CJN.07650711.[22] R. Trevisan, A. R. Dodesini, G. Lepore, Lipids and Renal Disease, Journal of the American Society of Nephrology, Vol. 17, No. 2-4, 2006, pp. S145-S147. https://doi.org/10.1681/ASN.2005121320.[23] V. T. Samuel, G. I. Shulman, Mechanisms for Insulin Resistance: Common Threads and Missing Links, Cell, Vol. 148, No. 5, 2012, pp. 852-871, https://doi.org/10.1016/j.cell.2012.02.017.[24] W. Patricia, D. Gloria Michelle, F. Alessia, Systemic and Renal Lipids in Kidney Disease Development and Progression, American Journal of Physiology-Renal Physiology, Vol. 310, No. 6, 2016, pp. F433-F445, https://doi.org/ 10.1152/ajprenal.00375.2015.[25] F. M. Sacks, M. P. Hermans, P. Fioretto, P. Valensi, T. Davis, E. Horton, C. Wanner, K. A. Rubeaan, I. Barzon, L. Bishop, E. Bonora, P. Bunnag, L. Chuang, C. Deerochanawong, R. Goldenberg, B. Harshfiled, C. Hernandez, S. H. Botein, H. Itoh, W. Jia, Y. Jiang, T. Kadowaki, N. Laranjo, L. Leiter, T. Miwwa, M. Odawara, K. Ohashi, A. Ohno, C. Pan, J. Pan, J. P. Botet, Z. Reiner, C. M. Rotella, R. Simo, M. Tanaka, E. T. Reiner, D. T. Barima, G. Zoppini, V. J. Carey, Association between Plasma Triglycerides and High-density Lipoprotein Cholesterol and Microvascular Kidney Disease and Retinopathy in Type 2 Diabetes Mellitus: A Global Case–control Study In 13 Countries, Circulation. Vol. 129, No. 9, 2014, pp. 999-1008, https://doi.org/10.1161/CIRCULATIONAHA.113.002529.[26] Y. Wang, X. Qiu, L. Lv, C. Wang, Z. Ye, S. Li, Q. Liu, T. Lou, X. Liu, Correlation Between Serum Lipid Levels and Measured Glomerular Filtration Rate In Chinese Patients With Chronic Kidney Disease, PLoS One, Vol. 11, No. 10, 2016, pp. e0163767, https://doi.org/10.1371/journal.pone.0163767.[27] N. J. Radcliffe, J. Seah, M. Clarke, R. J. Maclsaac, G. Jerrums, E. I. Ekinci, Clinical Predictive Factors in Diabetic Kidney Disease Progression, Journal of Diabetes Investigation, Vol. 8, No. 1, 2017, pp. 6-18, https://doi.org/10.1111/jdi.12533.[28] D. D. Miao, E. C. Pan, Q. Zhang, Z. M. Sun, Y. Qin, M. Wu, Development and Validation of A Model for Predicting Diabetic Nephropathy in Chinese People, Biomedical and Environmental Sciences, Vol. 30, No. 2, 2017, pp. 106-112, https://doi.org/10.3967/bes2017.014.[29] R. G. Nelson, M. E. Grams, S. H. Ballew, Y. Sang, F. Azizi, S. J. Chadban, L. Chaker, S. C. Dunning, C. Fox, Y. Hirakawa, K. Iseki, J. Ix, T. H. Jafar, A. Kottgen, D. M. J. Naimark, T. Ohjubo, G. J. Prescott, C. M. Bebholz, C. Sabanayagam, T. Sairenchi, B. Schottker, Y. Shibagaki, M. Tonelli, L. Zhang, R. T. Gansevoort, K. Matsushita, M. Woodward, J. Coresh, V. Shalev, Development of Risk Prediction Equations For Incident Chronic Kidney Disease, Jama, Vol. 322, No. 21, 2019, pp. 2104-2114, https://doi.org/10.1001/jama.2019.17379.