Magnetic lateral flow immunoassay test strip development – Considerations for proof of concept evaluation

Methods ◽  
2017 ◽  
Vol 116 ◽  
pp. 132-140 ◽  
Author(s):  
R. Connolly ◽  
R. O' Kennedy
Author(s):  
Cheng Liu ◽  
Shuiqin Fang ◽  
Yachen Tian ◽  
Youxue Wu ◽  
Meijiao Wu ◽  
...  

Escherichia coli O157:H7 ( E. coli O157:H7) is a dangerous foodborne pathogen, mainly found in beef, milk, fruits, and their products, causing harm to human health or even death. Therefore, the detection of E. coli O157:H7 in food is particularly important. In this paper, we report a lateral flow immunoassay strip (LFIS) based on aggregation-induced emission (AIE) material labeling antigen as a fluorescent probe for the rapid detection of E. coli O157:H7. The detection sensitivity of the strip is 105 CFU/mL, which is 10 times higher than that of the colloidal gold test strip. This method has good specificity and stability and can be used to detect about 250 CFU of E. coli O157:H7 successfully in 25 g or 25 mL of beef, jelly, and milk. AIE-LFIS might be valuable in monitoring food pathogens for rapid detection.


BMJ Open ◽  
2020 ◽  
Vol 10 (11) ◽  
pp. e036298
Author(s):  
Victoria Lyon ◽  
Monica Zigman Suchsland ◽  
Monique Chilver ◽  
Nigel Stocks ◽  
Barry Lutz ◽  
...  

IntroductionDiagnostic tests for influenza in Australia are currently only authorised for use in clinical settings. At-home diagnostic testing for influenza could reduce the need for patient contact with healthcare services, which potentially could contribute to symptomatic improvement and reduced spread of influenza. We aim to determine the accuracy of an app-guided nasal self-swab combined with a lateral flow immunoassay for influenza conducted by individuals with influenza-like illness (ILI).Methods and analysisAdults (≥18 years) presenting with ILI will be recruited by general practitioners (GP) participating in Australian Sentinel Practices Research Network. Eligible participants will have a nasal swab obtained by their GP for verification of influenza A/B status using reverse transcription polymerase chain reaction (RT-PCR) test at an accredited laboratory. Participants will receive an influenza test kit and will download an app that collects self-reported symptoms and influenza risk factors, then instructs them in obtaining a low-nasal self-swab, running a QuickVue influenza A+B lateral flow immunoassay (Quidel Corporation) and interpreting the results. Participants will also interpret an enhanced image of the test strip in the app. The primary outcome will be the accuracy of participants’ test interpretation compared with the laboratory RT-PCR reference standard. Secondary analyses will include accuracy of the enhanced test strip image, accuracy of an automatic test strip reader algorithm and validation of prediction rules for influenza based on self-reported symptoms. A post-test survey will be used to obtain participant feedback on self-test procedures.Ethics and disseminationThe study was approved by the Human Research and Ethic Committee (HREC) at the University of Adelaide (H-2019-116). Protocol details and any amendments will be reported to https://www.tga.gov.au/. Results will be published in the peer-reviewed literature, and shared with stakeholders in the primary care and diagnostics communities.Trial registration numberAustralia New Zealand Clinical Trial Registry (U1111-1237-0688).


2018 ◽  
Vol 54 (4A) ◽  
pp. 323
Author(s):  
Truong Quoc Phong

Nanotechnology is one of the fastest growing technologies in this era. Gold nanoparticle (AuNP) based immunoassays have been performed on the basis of antigen-antibody interaction using AuNP antibody conjugates. Lateral flow immunoassays(LFA) which are also based on AuNP antibody conjugates are useful innovation in nanotechnology and widely applied in medicine and research fields. However, there are some limitations of the present LFA kits such as sensitivity and stability. In the study, we showed the result of covalent conjugation of anti-rotavirus antibody and AuNP for generating a lateral flow immunoassay strip to detect rotavirus in fecal samples. The suitable conditions for coating polyethylene glycol (PEG) on the surface of AuNP were 10.0 mM PEG for 3 hours at room temperature (25 oC). Optimized conditions for covalent conjugation of antibody and AuNP were pH 4.0, 0.1 mg antibody/conjugate, 0.01 mM reactant EDC/NHS [1-ethyl-3-(3-dimethylaminopropyl) carbodiimide hydrochloride/(N-hydroxy sulfosuccinimide]. The coupling reaction was carried out at room temperature for 90 min. The conjugate pad, antibody immobilized nitrocellulose membrane strip were created with investigated conditions for generating an LFA test strip. The limit of detection of LFA test strip was determined by 1.6 × 105 virus particles/ml, three times lower than that of Rotaclone kit (UK). The generated strip could be used to detect rotavirus in fecal sample of patient. 


Foods ◽  
2019 ◽  
Vol 9 (1) ◽  
pp. 27 ◽  
Author(s):  
Jiali Li ◽  
Biao Ma ◽  
Jiehong Fang ◽  
Antong Zhi ◽  
Erjing Chen ◽  
...  

Salmonella can cause serious foodborne diseases. We have developed a lateral flow immunoassay combined with recombinase polymerase amplification (LFD-RPA) for detection of Salmonella in food. The conserved fragment (fimY) was selected as the target gene. Under an optimal condition (37 °C, 10 min), the sensitivity was 12 colony-forming units (CFU)/mL in a pure culture. Testing with 16 non-Salmonella strains as controls revealed that LFD-RPA was specific to the fimY gene of Salmonella. The established assay could detect Salmonella at concentrations as low as 1.29 × 102 CFU/mL in artificially contaminated samples. This detection was at a slightly higher level than that for a pure bacterial culture. Combined with the test strip reader, the LFD-RPA is a feasible method for quantitative detection of Salmonella based on the test line intensity, which was the ratio for the test line and control line of the reflected light. The method could be a potential point-of-care test in limited resource areas and provides a new approach and technical support for the diagnosis of food safety.


PLoS ONE ◽  
2021 ◽  
Vol 16 (7) ◽  
pp. e0254486
Author(s):  
Pang-Yen Chen ◽  
Cheng-Hao Ko ◽  
C. Jason Wang ◽  
Chien-Wei Chen ◽  
Wei-Huai Chiu ◽  
...  

The coronavirus disease (COVID-19) is the global public health challenge currently persisting at a grand scale. A method that meets the rapid quantitative detection of antibodies to assess the body’s immune response from natural COVID-19 illness or vaccines’ effects is urgently needed. In the present study, an attempt was made to integrate a newly designed spectrometer to the COVID-19 test strip procedure; this augmentation provides the quantitative capacity to a lateral flow immunoassay (LFIA). Optical interpretation of results by quantitative α index, rather than visual qualification, can be done quickly, in 5–10 minutes. The developed product was compared with several other serological IgM/IgG antibody reagents on the market by recruiting 111 participants suspected of having COVID-19 infection from March to May 2020 in a hospital. Taking RT-PCR as the diagnostic gold standard, the quantitative spectral LIFA platform could correctly detect all 12 COVID-19 patients. Concerning RT-PCR negative patients, all three antibody testing methods found positive cases. The optical-based platform exhibited the ability of early detection of immunoglobulins of RT-PCR negative patients. There was an apparent trend that elevation of IgM levels in the acute phase of infection; then IgG levels rose later. It exhibited the risk of a false-negative diagnosis of RT-PCR in COVID-19 testing. The significant detection ability of this new optical-based platform demonstrated clinical potential.


Sensors ◽  
2018 ◽  
Vol 18 (11) ◽  
pp. 3975 ◽  
Author(s):  
Shyatesa Razo ◽  
Vasily Panferov ◽  
Irina Safenkova ◽  
Yuri Varitsev ◽  
Anatoly Zherdev ◽  
...  

A simple approach was proposed to decrease the detection limit of sandwich lateral flow immunoassay (LFIA) by changing the conditions for binding between a polyvalent antigen and a conjugate of gold nanoparticles (GNPs) with antibodies. In this study, the potato virus Y (PVY) was used as the polyvalent antigen, which affects economically important plants in the Solanaceae family. The obtained polyclonal antibodies that are specific to PVY were characterized using a sandwich enzyme-linked immunosorbent assay (ELISA) and surface plasmon resonance (SPR). For LFIA, the antibodies were conjugated with GNPs with a diameter of 17.4 ± 1.0 nm. We conducted LFIAs using GNP conjugates in a dried state on the test strip and after pre-incubation with a sample. Pre-incubating the GNP conjugates and sample for 30 s was found to decrease the detection limit by 60-fold from 330 ng∙mL−1 to 5.4 ng∙mL−1 in comparison with conventional LFIA. The developed method was successfully tested for its ability to detect PVY in infected and uninfected potato leaves. The quantitative results of the proposed LFIA with pre-incubation were confirmed by ELISA, and resulted in a correlation coefficient of 0.891. The proposed approach is rapid, simple, and preserves the main advantages of LFIA as a non-laboratory diagnostic method.


2016 ◽  
Vol 72 (8) ◽  
pp. 494-497
Author(s):  
Chuang Xu ◽  
Wei Yang ◽  
Cheng Xia ◽  
Ling Wu ◽  
Hongyou Zhang

The routine monitoring of progesterone, a hormone that plays important roles during pregnancy, has become increasingly important in dairy cows. In this study, 11α-OH-progesterone-hemisuccinate-BSA was used to immunize Balb/c mice for the preparation of mouse anti-progesterone monoclonal antibodies (mAbs). A competitive lateral flow immunoassay for progesterone was developed with the use of purified mAbs. Standard progesterone solutions or milk samples containing different concentrations of progesterone were added to the sample pad of the test strip. A bright or weak test line represented progesterone levels <3 ng> </tr> <tr> <td class="keywords">Key words: progesterone; lateral flow immunoassay; pregnancy diagnosis; dairy cows</td> </tr> </tbody>


2018 ◽  
Vol 56 (4A) ◽  
pp. 190 ◽  
Author(s):  
Truong Quoc Phong ◽  
Ngọc Thị Phạm ◽  
Huong Dieu Nguyen ◽  
Anh Thi Ngoc Nguyen

Aflatoxins are secondary metabolites mostly produced by Aspergillus flavus and Aspergillus parasiticus and found in agricultural foodstuff such as maize grains, peanuts, animal feeds,... These are toxic and cancerous agents for humans and animals. Among them, aflatoxin B1 is the most consideration due to its highest toxicity and presence in samples. Several methods were developed to detect aflatoxin in food, feed and other foodstuffs such as chromatographic methods (TLC, HPTLC, HPLC), LC-MS/MS, FTIR, RIA, ELISA, SPR, electrochemical, and immunodipstick. Among them only immunodipstick method is compatible for field usage. Therefore, aim of the present study is to determine optimal condition for conjugation of aflatoxin B1 (AFB1) with bovine serum albumin (BSA) to develop a lateral flow immunoassay test strip for detection of aflatoxin B1. Optimal conditions for generating mediate compound of aflatoxin B1 – CMO was investigated: AFB1:CMO ratio of 1:2, reflux temperature of 100oC for 2 hours. Concentration of aflatoxin B1 in reaction was 0.27 µg/µl. Conjugation of AFB1 with CMO was confirmed by thin layer chromatography, HPLC and FT-IR methods. Furthermore, optimal conditions for conjugation of mediate AFB1-CMO derivative with BSA were also investigated. Ratio of AFB1-CMO with BSA was determined as 40:1 and equal to predicted theoretical ratio. Efficient conjugation conditions were 25oC for 2 hours in bicarbonate buffer pH 9.5. Generated conjugate of AFB1-BSA was successfully applied to construct a lateral flow immunoassay test strip for detection of aflatoxin B1


Author(s):  
Fabian Joeres ◽  
Tonia Mielke ◽  
Christian Hansen

Abstract Purpose Resection site repair during laparoscopic oncological surgery (e.g. laparoscopic partial nephrectomy) poses some unique challenges and opportunities for augmented reality (AR) navigation support. This work introduces an AR registration workflow that addresses the time pressure that is present during resection site repair. Methods We propose a two-step registration process: the AR content is registered as accurately as possible prior to the tumour resection (the primary registration). This accurate registration is used to apply artificial fiducials to the physical organ and the virtual model. After the resection, these fiducials can be used for rapid re-registration (the secondary registration). We tested this pipeline in a simulated-use study with $$N=18$$ N = 18 participants. We compared the registration accuracy and speed for our method and for landmark-based registration as a reference. Results Acquisition of and, thereby, registration with the artificial fiducials were significantly faster than the initial use of anatomical landmarks. Our method also had a trend to be more accurate in cases in which the primary registration was successful. The accuracy loss between the elaborate primary registration and the rapid secondary registration could be quantified with a mean target registration error increase of 2.35 mm. Conclusion This work introduces a registration pipeline for AR navigation support during laparoscopic resection site repair and provides a successful proof-of-concept evaluation thereof. Our results indicate that the concept is better suited than landmark-based registration during this phase, but further work is required to demonstrate clinical suitability and applicability.


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