jilin province
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Author(s):  
Jiaqi Lan ◽  
Shuo Yang ◽  
Yu Wang ◽  
Nan Guo ◽  
Xu Liu ◽  
...  

In this study, we evaluated the microbial contamination status of cold dishes consumed by residents of Jilin Province and investigated to determine the incidence of four pathogenic bacteria in cold dishes. A total of 300 samples of cold dishes including meat, vegetable and mixed products, were collected from three different purchasing places: supermarkets, farmers' markets and mobile vendors. Live bacteria were isolated using conventional culture methods. After separation, a quick and easy polymerase chain reaction (PCR) was used to detect Listeria monocytogenes , Staphylococcus aureus , Enterotoxic Escherichia coli  and Salmonella . The results showed that the total number of microbial colonies in the vegetable samples exceeded the standard rate of 8%, and the total number of microbial colonies in the meat and mixed samples did not exceed the standard. The total microbial colony count exceeded the standard in all three different procurement sites, with the highest exceedance of 7.4% in the mobile vendor sites. The detection rates of Enterotoxigenic Escherichia coli , Staphylococcus aureus , L. monocytogenes  and Salmonella  among the four pathogenic bacteria detected in all samples were 4.3%, 3.3%; 3.0%; and 1.0%, respectively. This study can be used to qualitatively assess the microbiological quality associated with cold dishes. It provides data to support the detection of possible food safety problems.


2022 ◽  
Vol 18 (1) ◽  
Author(s):  
Xin-Tong Li ◽  
Lu Wang ◽  
Yuan Ding ◽  
Wu-Wen Sun

Abstract Background Limited information about Toxoplasma gondii infection in pet cats and their owners is available in China. Methods In this study, blood samples were randomly collected from 306 pet cats and 397 corresponding pet owners in Jilin province, northeastern China. Sera from the pet cats and the pet owners were tested for anti-T. gondii antibodies using an modified agglutination test (MAT) and an enzyme-linked immunosorbent assay (ELISA), respectively. Moreover, the risk factors for T. gondii infection in pet cats and corresponding pet owners were explored. Result In total, 62 sera out of 306 examined pet cats (20.3%) and 18.1% (72/397) pet cat owners were seropositive for T. gondii, respectively. The results of statistical analysis showed that both pet cats and their owners from rural area had significantly higher T. gondii seroprevalence than those from urban area (p < 0.001). Moreover, owners of pet cas who have the knowledge of zoonotic protozoan diseases had a significantly lower T. gondii seroprevalence than those without the knowledge of zoonotic protozoan diseases (p < 0.001). Conclusions The present results revealed that the seroprevalence of T. gondii infection are widespread in pet cats and their owners in Jilin province, northeastern China. Residence area and understanding knowledge of zoonotic protozoan diseases are considered to be raleted to the T. gondii infection. Hence, it is necessary to highlight the dangers and protection methods of zoonotic protozoan diseases caused by pet cats, especially in rural area.


2022 ◽  
Vol 355 ◽  
pp. 02032
Author(s):  
Weiwei Jiang ◽  
Zhiyu Song ◽  
Zhongyan Wang ◽  
Ping Guo

Although Jilin Province has abundant forest reserves and has a relatively large carbon neutral advantage compared to other provinces, the installed capacity of thermal power is still relatively high, and the installed capacity of renewable energy such as wind power, photovoltaic and hydropower is insufficient. This paper builds a carbon emission model for the power generation industry in Jilin Province based on the characteristics of the power generation industry in Jilin Province and years of field test experience.


GCdataPR ◽  
2021 ◽  
Author(s):  
Xiaoyi GUO ◽  
Zhen SUN ◽  
Jingying FU ◽  
Cunhua CHEN ◽  
Ruixiang SHI ◽  
...  
Keyword(s):  

GCdataPR ◽  
2021 ◽  
Author(s):  
Xiaoyi GUO ◽  
Haiqiang LIU ◽  
Jingying FU ◽  
Yunbo QIAO ◽  
Ruixiang SHI ◽  
...  
Keyword(s):  

GCdataPR ◽  
2021 ◽  
Author(s):  
Xiaoyi GUO ◽  
Yanming WANG ◽  
Jingying FU ◽  
Cunhua CHEN ◽  
Ruixiang SHI ◽  
...  
Keyword(s):  

GCdataPR ◽  
2021 ◽  
Author(s):  
Xiaoyi GUO ◽  
Shijun QIA ◽  
Jingying FU ◽  
Yunbo QIAO ◽  
Ruixiang SHI ◽  
...  
Keyword(s):  

GCdataPR ◽  
2021 ◽  
Author(s):  
Xiaoyi GUO ◽  
Nan ZHOU ◽  
Jingying FU ◽  
Cunhua CHEN ◽  
Ruixiang SHI ◽  
...  
Keyword(s):  

GCdataPR ◽  
2021 ◽  
Author(s):  
Xiaoyi GUO ◽  
Zhixin ZHANG ◽  
Jingying FU ◽  
Cunhua CHEN ◽  
Ruixiang SHI ◽  
...  
Keyword(s):  

GCdataPR ◽  
2021 ◽  
Author(s):  
Xiaoyi GUO ◽  
Haifeng SUN ◽  
Jingying FU ◽  
Yunbo QIAO ◽  
Ruixiang SHI ◽  
...  
Keyword(s):  

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