Zobrazeno 1 - 10
of 1 649
pro vyhledávání: '"on-site detection"'
Autor:
Yilin Wang, Fuchang Yu, Kaihui Zhang, Ke Shi, Yuancai Chen, Junqiang Li, Xiaoying Li, Longxian Zhang
Publikováno v:
BMC Veterinary Research, Vol 20, Iss 1, Pp 1-10 (2024)
Abstract Enterocytozoon bieneusi is a common species of microsporidia that infects humans and animals. Current methods for detecting E. bieneusi infections have trade-offs in sensitivity, specificity, simplicity, cost and speed and are thus unaccepta
Externí odkaz:
https://doaj.org/article/4ec0b518aefc44f8a3a4c3df405a643b
Autor:
Yilin Wang, Fuchang Yu, Yin Fu, Qian Zhang, Jinfeng Zhao, Ziyang Qin, Ke Shi, Yayun Wu, Junqiang Li, Xiaoying Li, Longxian Zhang
Publikováno v:
Parasites & Vectors, Vol 17, Iss 1, Pp 1-13 (2024)
Abstract Background Giardia duodenalis is a common enteric protozoan parasite that is categorized into eight assemblages (A–H). In particular, assemblages A and B are zoonotic, capable of infecting both humans and animals worldwide, resulting in si
Externí odkaz:
https://doaj.org/article/07bb0e89392b4d3d8a0ae8a60a8c2549
Autor:
Soobin Han, Ji Hong Kim, Vivek Kumar Gupta, Ju Eun Bae, Chae Hwan Cho, Hanseung Kim, Yonghyeon Park, Mi‐Hwa Oh, Jong Pil Park Professor, Yun Suk Huh
Publikováno v:
Food Frontiers, Vol 5, Iss 6, Pp 2591-2604 (2024)
Abstract The globalization of food distribution has made it necessary to ensure the delivery of fresh food to the consumers. Protein‐rich foods produce a significant amount of tyramine when spoiled. Therefore, it was envisaged to develop localized
Externí odkaz:
https://doaj.org/article/7facf9a096ae4f22b7d4db500d4d6d3e
Publikováno v:
Journal of Computer Applications in Archaeology, Vol 7, Iss 1, Pp 262–282-262–282 (2024)
Automating the detection and classification of archaeological features in remotely sensed imagery poses significant challenges due to image variability and the heterogeneity of archaeological objects, which traditional object-based solutions have str
Externí odkaz:
https://doaj.org/article/66ceba88fb4f43d1b974da3ab40d230e
Autor:
Rui Tian, Feng Xie, Yuqing Liu, Guangjin Liu, Qingxia Li, Jinxiu Wang, Hongjian Zhang, Lei Dai, Wei Zhang
Publikováno v:
Frontiers in Veterinary Science, Vol 11 (2024)
AimsClostridium perfringens is one of the major anaerobic pathogen causing food poisoning and animal enteritis. With the rise of antibiotic resistance and the restrictions of the use of antibiotic growth promoting agents (AGPs) in farming, Clostridiu
Externí odkaz:
https://doaj.org/article/6307d0bd9ece40e0ba9eb00d807f82c8
Publikováno v:
Food Chemistry: Molecular Sciences, Vol 8, Iss , Pp 100206- (2024)
Honey adulteration with exogenous syrup has become a common phenomenon, and current detection techniques that require large instruments are cumbersome and time-consuming. In this study, a simple and efficient method was developed by integrating the r
Externí odkaz:
https://doaj.org/article/112a7bbf108b4c8f912a18e121de070e
Autor:
Tang, Qing 1, Chen, Hanren 1, Diao, Bihong, Qin, Zuoyan, Shao, Huaze, Zhang, Runhui, Liu, Lihong ⁎
Publikováno v:
In Chemical Engineering Journal 1 November 2024 499
Publikováno v:
In Journal of Food Composition and Analysis March 2025 139
Autor:
Jinbin Wang, Yu Wang, Xiuwen Hu, Yifan Chen, Wei Jiang, Xiaofeng Liu, Juan Liu, Lemei Zhu, Haijuan Zeng, Hua Liu
Publikováno v:
Food Science and Human Wellness, Vol 13, Iss 1, Pp 183-190 (2024)
Traditional transgenic detection methods require high test conditions and struggle to be both sensitive and efficient. In this study, a one-tube dual recombinase polymerase amplification (RPA) reaction system for CP4-EPSPS and Cry1Ab/Ac was proposed
Externí odkaz:
https://doaj.org/article/426fff0968964f8a966c686448b16199
Publikováno v:
Foods, Vol 13, Iss 23, p 3816 (2024)
The self-quenching fluorogenic probe facilitates precise identification of LAMP (loop-mediated isothermal amplification) amplicons, unaffected by non-specific products resulting from primer dimers. However, low quenching efficiency by surrounding nuc
Externí odkaz:
https://doaj.org/article/4acd1c2b34244f73988d82b82e5a1ebc