8 research outputs found

    TẠO DÒNG CÁC GEN MÃ HÓA CHITINASE 42 kDa CỦA Trichoderma asperellum VÀO VECTOR BIỂU HIỆN THỰC VẬT pMYV719 ĐỂ PHỤC VỤ CHUYỂN GEN

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    In this study, chitinase genes containing a signal peptide sequence, such as Chi42, syncodChi42-1 and syncodChi42-2, were cloned in the plant expression vector pMYV719 and successfully transferred into Agrobacterium tumefaciens LBA 4404. Among them, Chi42 is a wild-type gene of Trichoderma asperellum SH16. Both genes syncodChi42-1 and syncodChi42-2 are derived from Chi42, which was optimized for codon usage for plant expression. Agrobacterium bacteria-harbouring pMYV719/chitinase vector was used for genetic transformation into peanuts (Arachis hypogaea L.) to enhance resistance to phytopathogenic fungi in further studies.Trong nghiên cứu này, các gen chitinase mang trình tự peptide tín hiệu như Chi42, syncodChi42-1 và syncodChi42-2 đã được tạo dòng trong vector biểu hiện thực vật pMYV719 và biến nạp thành công vào vi khuẩn Agrobacterium tumefaciens LBA 4404. Trong đó, gen Chi42 là kiểu gen hoang dại từ chủng nấm Trichoderma asperellum SH16. Hai gen syncodChi42-1 và syncodChi42-2 có nguồn gốc từ gen Chi42 đã được tối ưu hóa bộ ba sử dụng để biểu hiện thực vật. Vi khuẩn A. tumefaciens mang các gen chitinase được sử dụng để chuyển gen vào cây lạc (Arachis hypogaea L.) trong các nghiên cứu tiếp theo để cải thiện khả năng kháng nấm bệnh của chúng

    Improved expression of catechol 1,2-dioxygenase gene from Burkholderia cepacia in Escherichia coli

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    Catechol 1,2-dioxygenase (CAT1) is a key enzyme for the ortho-cleavage pathway involved in the degradation of dibenzofuran, a dioxin derivative, which is a highly toxic environmental pollutant. The present study aims to investigate appropriate culture conditions for enhancing the expression of the cat1 gene encoding CAT1 enzyme from Burkholderia cepacia DF4 in Escherichia coli M15. The optimized culture conditions for gene expression are cell density at the time of induction, shaking speed, induction temperature, induction time, and inducer concentration. The highest level for CAT1 was obtained at the IPTG concentration of 1.2 mM, 10 hours after induction at 35 °C, shaking speed 200 rpm with cell density at OD600 0.7

    Medical-Waste Chain: A Medical Waste Collection, Classification and Treatment Management by Blockchain Technology

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    To prevent the spread of the COVID-19 pandemic, 2019 has seen unprecedented demand for medical equipment and supplies. However, the problem of waste treatment has not yet been given due attention, i.e., the traditional waste treatment process is done independently, and it is not easy to share the necessary information. Especially during the COVID-19 pandemic, the interaction between parties is minimized to limit infections. To evaluate the current system at medical centers, we also refer to the traditional waste treatment processes of four hospitals in Can Tho and Ho Chi Minh cities (Vietnam). Almost all hospitals are handled independently, lacking any interaction between the stakeholders. In this article, we propose a decentralized blockchain-based system for automating waste treatment processes for medical equipment and supplies after usage among the relevant parties, named Medical-Waste Chain. It consists of four components: medical equipment and supplies, waste centers, recycling plants, and sorting factories. Medical-Waste Chain integrates blockchain-based Hyperledger Fabric technology with decentralized storage of medical equipment and supply information, and securely shares related data with stakeholders. We present the system design, along with the interactions among the stakeholders, to ensure the minimization of medical waste generation. We evaluate the performance of the proposed solution using system-wide timing and latency analysis based on the Hyperledger Caliper engine. Our system is developed based on the hybrid-blockchain system, so it is fully scalable for both on-chain and off-chain-based extensions. Moreover, the participants do not need to pay any fees to use and upgrade the system. To encourage future use of Medical-Waste Chain, we also share a proof-of-concept on our Github repository

    Medical-Waste Chain: A Medical Waste Collection, Classification and Treatment Management by Blockchain Technology

    Get PDF
    To prevent the spread of the COVID-19 pandemic, 2019 has seen unprecedented demand for medical equipment and supplies. However, the problem of waste treatment has not yet been given due attention, i.e., the traditional waste treatment process is done independently, and it is not easy to share the necessary information. Especially during the COVID-19 pandemic, the interaction between parties is minimized to limit infections. To evaluate the current system at medical centers, we also refer to the traditional waste treatment processes of four hospitals in Can Tho and Ho Chi Minh cities (Vietnam). Almost all hospitals are handled independently, lacking any interaction between the stakeholders. In this article, we propose a decentralized blockchain-based system for automating waste treatment processes for medical equipment and supplies after usage among the relevant parties, named Medical-Waste Chain. It consists of four components: medical equipment and supplies, waste centers, recycling plants, and sorting factories. Medical-Waste Chain integrates blockchain-based Hyperledger Fabric technology with decentralized storage of medical equipment and supply information, and securely shares related data with stakeholders. We present the system design, along with the interactions among the stakeholders, to ensure the minimization of medical waste generation. We evaluate the performance of the proposed solution using system-wide timing and latency analysis based on the Hyperledger Caliper engine. Our system is developed based on the hybrid-blockchain system, so it is fully scalable for both on-chain and off-chain-based extensions. Moreover, the participants do not need to pay any fees to use and upgrade the system. To encourage future use of Medical-Waste Chain, we also share a proof-of-concept on our Github repository
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