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- 저자 : Shasha He (검색결과 2 건)
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NiO/Ti3C2Tx MXene nanocomposites sensor for ammonia gas detection at room temperature
Jiacheng Yang,Yingang Gui,Yunfeng Wang,Shasha He 한국공업화학회 2023 Journal of Industrial and Engineering Chemistry Vol.119 No.-
Poultry feeding will lead to a large amount of ammonia(NH3) emissions, which will seriously affect thequality of meat. Herein, we report a resistive sensor based on NiO/Ti3C2Tx sensitive nanocompositesfor NH3 detection in a natural environment. The nanocomposites were prepared by modifying twodimensional(2D) Ti3C2Tx MXene with nickel oxide (NiO) nanoparticles (NPs) by a simple ultrasonicself-assembly method. The results show that the NiO/Ti3C2Tx MXene nanocomposite sensor exhibits ahigh sensitivity of 6.13 % to 50 ppm NH3 at room temperature (RT), which is 8.7 times higher than thatof the pure Ti3C2Tx MXene sensor. In other words, the addition of NiO NPs can significantly enhance thegas-sensing response of pure Ti3C2Tx MXene to NH3 at RT. Meanwhile, the response and recovery timewere also effectively improved (63 s/19 s) due to the addition of NiO NPs. Furthermore, the responseof the nanocomposite sensor to volatile organic compounds (VOCs) was investigated, and the resultsshowed its prospective and high selectivity. On the other hand, the nanocomposite sensor exhibits goodrepeatability and long-term stability. Finally, a possible sensing mechanism is proposed to improve sensorperformance.
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Fan Jiayao,Xu Huiqing,Liu Bing,Jing Fangyuan,He Qingfang,Zheng Shasha,Shi Haining,Jiao Lefei,Fan Chunhong 한국유전학회 2022 Genes & Genomics Vol.44 No.7
Background: TP73-AS1 is a novel antisense long noncoding RNA and plays an important role in cell proliferation and cancer development. However, the link between TP73-AS1 and colorectal cancer (CRC) has not yet been reported. Objective: To explore the association of genetic variants in TP73-AS1 and its expression with CRC susceptibility and prognosis. Methods: A case-control study (including 507 CRC cases and 503 controls) and bioinformatics analysis were conducted. Results: rs9800 polymorphism was significantly related to higher risk in CRC [adjusted odds ratio (AOR) = 1.33, 95% confidence interval (CI) = 1.02-1.75, P = 0.034 in heterozygote codominant model]. There was no difference between TP73-AS1 polymorphisms and different tumor node metastasis (TNM) stages in the adjusted model. Moreover, TP73-AS1 expression level was positively related to different TNM stages. After adjusted for age, gender and TNM, higher TP73-AS1 expression levels were related to shorter recurrence-free survival time [hazard ratio (HR) = 1.66, 95% CI = 1.02-2.71, P = 0.043]. Conclusion: TP73-AS1 polymorphisms and expression may be associated with susceptibility and prognosis of CRC.
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