1.Aeromonas immobilized on chitosan for treating high-oil wastewater from kitchens.
Jin QU ; Yinyan CHEN ; Ruojin ZHAO ; Yiyi LI ; Peng JIN ; Zhanwang ZHENG
Chinese Journal of Biotechnology 2021;37(2):615-624
To effectively solve the serious impact of high oil in the kitchen wastewater on the downstream treatment process, an excellent oil-degrading strain Aeromonas allosaccarophila CY-01 was immobilized to prepare Chitosan-Aeromonas pellets (CH-CY01) by using chitosan as a carrier. Oil degradation condition and efficiency of CH-CY01 pellets were assessed. The growth of immobilized CH-CY01 was almost unaffected, and the maximum degradation rate of soybean oil was 89.7%. Especially at 0.5% NaCl concentration, oil degradation efficiency of CH-CY01 was increased by 20% compared with free cells. In the presence of a surfactant (sodium dodecylbenzene sulfonate) at 1 mg/L, the degradation efficiency of oil by CH-CY01 was increased by 40%. Moreover, using the high-oil catering wastewater as the substrate, more than 80% of the solid oil was degraded with 1% (V/V) CH-CY01 pellets treatment for 7 days, significantly higher than that of free cells. In summary, immobilized CH-CY01 significantly improved the efficiency of oil degradation.
Aeromonas
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Chitosan
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Surface-Active Agents
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Waste Water
2.Retrospective cohort study on the factors influencing poor prognosis in young and middle-aged patients with pulmonary tuberculosis
Shuangliang LI ; Yan TAO ; Ronghui HE ; Changyan ZHANG
Journal of Public Health and Preventive Medicine 2024;35(2):137-140
Objective To conduct a retrospective cohort study on the influencing factors of poor prognosis of young and middle-aged patients with pulmonary tuberculosis. Methods Selecting 426 young and middle-aged patients who were diagnosed with pulmonary tuberculosis in our hospital from January to December 2018 as the research subjects. Collecting the social demography information of all patients and the information of potential factors affecting the prognosis (allergy history, smoking history, drinking history, BMI level, disease information, treatment information, etc.) and discussing the factors affecting the prognosis of young and middle-aged pulmonary tuberculosis patients and their effects. Results The average age of 426 patients was (41.93±5.17) years old, the average BMI of them was (21.97±3.15) kg/m2, and an average course of disease of them was (2.76±0.99) years. There was no significant difference in the basic sexual information between men and women. In this study, a total of 128 patients with poor prognosis were retrospectively followed up, including 90 males and 38 females. The detection rate of males was significantly higher than that of females (χ2=16.976, P<0.05). The detection rate of poor prognosis was lower in patients with lower BMI levels (F=12.774, P<0.001) and longer disease course (F=3.704, P<0.001). In addition, the proportion of patients with poor prognosis who had a history of smoking (χ2=18.850, P<0.001) and had comorbidities was higher (χ2=38.924, P<0.001), and the proportion of patients with ≥ 3 lung field lesions (χ2=127.207, P<0.001) and those with pulmonary cavities (χ2=32.566, P<0.001) were also higher, with statistically significant differences compared to those with good prognosis. Among those with poor prognosis, the proportion of regular treatment was lower (χ2=16.715, P<0.001), and the proportion of adverse reactions was higher (χ2=17.315, P<0.001). At the same time, a total of 128 cases with poor prognosis were retrospectively followed up in this study, and the incidence of poor prognosis was higher in males than in females (χ2=16.976,P<0.05) . At the same time , research has shown that the detection rate of poor prognosis has a potential positive correlation with lower BMI, longer disease duration, smoking history, comorbidities, ≥ 3 lung field lesions, and the presence of pulmonary cavities, while there is a potential negative correlation with regular treatment, both P<0.05. In the study, univariate regression equations were used to discuss the impact of potential factors on adverse prognosis. It can be seen that male, emaciated body type, disease course ≥ 5 years, smoking history, number of lung field lesions ≥ 3, pulmonary cavities, and comorbidities are potential risk factors, with HR>1 and P<0.05; Regular treatment suggests a potential protective factor, with an HR of 0.341 and P<0.05. Multivariate regression analysis further suggests that male, emaciated body type, smoking history, pulmonary cavities, and comorbidities are potential risk factors, with HR>1 and P<0.05; Regular treatment still showed potential protective factors, with an HR of 0.408, P<0.05. Conclusion: Male, emaciated body type, disease course ≥ 5 years, smoking history, number of lung field lesions ≥ 3, presence of pulmonary cavities and comorbidities are potential risk factors, while regular treatment suggests potential protective factors. Conclusion More targeted disease control and management should be implemented for middle-aged and young patients with pulmonary tuberculosis based on the aforementioned influencing factors to improve their prognosis.