scholarly journals A high sensitivity method of closed-tube loop-mediated isothermal amplification developed for visual and rapid detection of cow milk adulteration

2021 ◽  
pp. 105214
Author(s):  
Yifan Wang ◽  
Zhezhe Yu ◽  
Yongfeng Liu
Heliyon ◽  
2018 ◽  
Vol 4 (3) ◽  
pp. e00561 ◽  
Author(s):  
Nguyen Bao Quoc ◽  
Nguyen Doan Nguyen Phuong ◽  
Nguyen Ngoc Bao Chau ◽  
Do Thi Phuong Linh

2022 ◽  
Vol 14 (11) ◽  
Author(s):  
Dong Chen ◽  
Fangju Tian ◽  
Wanyu Liu ◽  
Jingyi Yu ◽  
Dafeng Song

Background: Salmonella is one of the main foodborne bacterial pathogens, causing diseases and death. The study used reverse transcription loop-mediated isothermal amplification (RT-LAMP) to detect Salmonella. Objectives: To design six primers and detect Salmonella using RT-LAMP to facilitate the rapid detection of pathogenic bacteria in food. Methods: We designed six primers based on the gene coding sequences of inv A, specific to Salmonella. Each reaction solution contained 6.0 mM MgSO4, 1 M betaine, 1.6 mM dNTPs, 160 U/mL Bst DNA polymerase, 0.2 μM of both external primers, 0.8 μM of both internal primers, and 0.2 μM of both loop primers. The reaction temperature was 65°C. Results: Our amplified products were separated by 2% agarose gel electrophoresis. The detection limit was 10 CFU per reaction. Conclusions: RT-LAMP exhibited the same accuracy as the GB assay in detecting Salmonella in foods. RT-LAMP was highly specific and sensitive; hence, it may serve as an effective tool in detecting Salmonella.


2015 ◽  
Vol 53 (12) ◽  
pp. 3884-3887 ◽  
Author(s):  
Hongmei Bao ◽  
Xiaoxiao Feng ◽  
Yong Ma ◽  
Jianzhong Shi ◽  
Yuhui Zhao ◽  
...  

We developed hemagglutinin- and neuraminidase-specific one-step reverse transcription–loop-mediated isothermal amplification assays for detecting the H10N8 virus. The detection limit of the assays was 10 copies of H10N8 virus, and the assays did not amplify nonspecific RNA. The assays can detect H10N8 virus from chicken samples with high sensitivity and specificity, and they can serve as an effective tool for detecting and monitoring H10N8 virus in live poultry markets.


2021 ◽  
Vol 11 (1) ◽  
Author(s):  
Severino Jefferson Ribeiro da Silva ◽  
Keith Pardee ◽  
Udeni B. R. Balasuriya ◽  
Lindomar Pena

AbstractWe have previously developed and validated a one-step assay based on reverse transcription loop-mediated isothermal amplification (RT-LAMP) for rapid detection of the Zika virus (ZIKV) from mosquito samples. Patient diagnosis of ZIKV is currently carried out in centralized laboratories using the reverse transcription-quantitative polymerase chain reaction (RT-qPCR), which, while the gold standard molecular method, has several drawbacks for use in remote and low-resource settings, such as high cost and the need of specialized equipment. Point-of-care (POC) diagnostic platforms have the potential to overcome these limitations, especially in low-resource countries where ZIKV is endemic. With this in mind, here we optimized and validated our RT-LAMP assay for rapid detection of ZIKV from patient samples. We found that the assay detected ZIKV from diverse sample types (serum, urine, saliva, and semen) in as little as 20 min, without RNA extraction. The RT-LAMP assay was highly specific and up to 100 times more sensitive than RT-qPCR. We then validated the assay using 100 patient serum samples collected from suspected cases of arbovirus infection in the state of Pernambuco, which was at the epicenter of the last Zika epidemic. Analysis of the results, in comparison to RT-qPCR, found that the ZIKV RT-LAMP assay provided sensitivity of 100%, specificity of 93.75%, and an overall accuracy of 95.00%. Taken together, the RT-LAMP assay provides a straightforward and inexpensive alternative for the diagnosis of ZIKV from patients and has the potential to increase diagnostic capacity in ZIKV-affected areas, particularly in low and middle-income countries.


2017 ◽  
Vol 59 (4) ◽  
pp. 541-547 ◽  
Author(s):  
Hiroyasu Noguchi ◽  
Takashi Iwase ◽  
Daisuke Omagari ◽  
Masatake Asano ◽  
Ryota Nakamura ◽  
...  

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