A bare-eye based one-step signal amplified semiquantitative immunochromatographic assay for the detection of imidacloprid in Chinese cabbage samples

Fang, Qingkui; Wang, Limin; Cheng, Qi; Cai, Jia; Wang, Yulong; Yang, Mingming; Hua, Xiude; Liu, Fengquan

doi:10.1016/j.aca.2015.04.047

Cited by 45 publications

(18 citation statements)

References 35 publications

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“…Compared to optical methods however EC is rarely used for non-expert sensors while colorimetric are gaining traction due to easy visual interpretation of the results generated. Cholinesterase inhibition assays in dipstick format (Badawy and El-Aswad, 2014) (Apilux et al, 2015) or immunochromatographic assays (Fang et al, 2015) for pesticides are good examples despite the fact they lack quantification. This could be altered if a smartphone camera is used as a detector which has been the case for both pesticides (Comina et al, 2016) and mycotoxins (Machado et al, 2018).…”

Section: Sensors/methods Investigated Using Test Classificationmentioning

confidence: 99%

The end user sensor tree: An end-user friendly sensor database

Nelis

Tsagkaris

Zhao

et al. 2019

Biosensors and Bioelectronics

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Detailed knowledge regarding sensor based technologies for the detection of food contamination often remains concealed within scientific journals or divided between numerous commercial kits which prevents optimal connectivity between companies and end-users. To overcome this barrier The End user Sensor Tree (TEST) has been developed. TEST is a comprehensive, interactive platform including over 900 sensor based methods, retrieved from the scientific literature and commercial market, for aquatictoxins, mycotoxins, pesticides and microorganism detection. Key analytical parameters are recorded in excel files while a novel classification system is used which provides, tailor-made, experts' feedback using an online decision tree and database introduced here. Additionally, a critical comparison of reviewed sensors is presented alongside a global perspective on research pioneers and commercially available products. The lack of commercial uptake of the academically popular electrochemical and nanomaterial based sensors, as well as multiplexing platforms became very apparent and reasons for this anomaly are discussed.

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Section: Sensors/methods Investigated Using Test Classificationmentioning

confidence: 99%

The end user sensor tree: An end-user friendly sensor database

Nelis

Tsagkaris

Zhao

et al. 2019

Biosensors and Bioelectronics

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“…In summary, this work presents the sensitive Bic-ELISA method for detecting acetamiprid pesticides in pollen samples based on a heterogeneous coating antigen and biotinylated anti-acetamiprid mAb (BAb). Because heterology can significantly improve the sensitivity of the immunoassay [41], the affinity of streptavidin and biotin (the affinity constant is 10 15 L/mol) was higher than that of antigen and antibody (the affinity constant is 10 5−11 L/mol) [24]. Under the optimized the H2-OVA and BAb concentration, the ionic strength and pH of the Bic-ELISA system, the LOD of the Bic-ELISA was 0.17 ng/mL, and the linear range was 0.25–25 ng/mL.…”

Section: Discussionmentioning

confidence: 99%

“…These residual analysis methods have superior sensitivity and reliability. However, in experiments, the pretreatment of samples takes a long time and incurs significant costs, requires professional personnel to perform, involves expensive instrumentation, and is not conducive to market and field testing [22,23,24]. Therefore, we urgently need to develop a rapid, easy and high-throughput analysis technology for field detection.…”

Section: Introductionmentioning

confidence: 99%

Quantitative Determination of Acetamiprid in Pollen Based on a Sensitive Enzyme-Linked Immunosorbent Assay

Fang

Hua

et al. 2019

Molecules

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A sensitive biotinylated indirect competitive enzyme-linked immunosorbent assay (Bic-ELISA) was developed to detect acetamiprid pesticides in pollen, based on the heterogeneous coating antigen and biotinylated anti-acetamiprid monoclonal antibody. Under optimized experimental conditions, the detection limit for the Bic-ELISA was 0.17 ng/mL and the linear range was 0.25–25 ng/mL. The cross-reactivities could be regarded as negligible for the biotinylated antibodies with their analogues except for thiacloprid (1.66%). Analyte recoveries for extracts of spiked pollen (camellia pollen, lotus pollen, rape pollen) ranged from 81.1% to 108.0%, with intra-day relative standard deviations (RSDs) of 4.8% to 10.9%, and the average reproducibility was 85.4% to 110.9% with inter-assay and inter-assay RSDs of 6.1% to 11.7%. The results of Bic-ELISA methods for the Taobao’s website samples were largely consistent with HPLC-MS/MS. Therefore, the established Bic-ELISA methods would be conducive to the monitoring of acetamiprid in pollen.

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“…The proposed strategy was further applied to our all‐in‐one prototype, integrated sample‐to‐result test strip that involves paper‐based RNA extraction, reverse transcription‐loop mediated isothermal amplification (RT‐LAMP) and lateral flow detection, to sensitively detect dengue viral RNA in clinical blood samples. In addition, semi‐quantification was achieved by creating multiple test zones on nitrocellulose membrane of the integrated test strip, suggesting that the number of visible test zones is directly proportional to the target concentration, which could potentially facilitate appropriate clinical management at the POC. The proposed strategy enables highly sensitive and accurate detection of various targets for a diverse range of POC applications.…”

Section: Introductionmentioning

confidence: 99%

Lateral Flow Assay Based on Paper–Hydrogel Hybrid Material for Sensitive Point‐of‐Care Detection of Dengue Virus

Choi

Yong

Tang

et al. 2016

Adv Healthcare Materials

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Paper-based devices have been broadly used for the point-of-care detection of dengue viral nucleic acids due to their simplicity, cost-effectiveness, and readily observable colorimetric readout. However, their moderate sensitivity and functionality have limited their applications. Despite the abovementioned advantages, paper substrates are lacking in their ability to control fluid flow, in contrast to the flow control enabled by polymer substrates (e.g., agarose) with readily tunable pore size and porosity. Herein, taking the benefits from both materials, the authors propose a strategy to create a hybrid substrate by incorporating agarose into the test strip to achieve flow control for optimal biomolecule interactions. As compared to the unmodified test strip, this strategy allows sensitive detection of targets with an approximately tenfold signal improvement. Additionally, the authors showcase the potential of functionality improvement by creating multiple test zones for semi-quantification of targets, suggesting that the number of visible test zones is directly proportional to the target concentration. The authors further demonstrate the potential of their proposed strategy for clinical assessment by applying it to their prototype sample-to-result test strip to sensitively and semi-quantitatively detect dengue viral RNA from the clinical blood samples. This proposed strategy holds significant promise for detecting various targets for diverse future applications.

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A bare-eye based one-step signal amplified semiquantitative immunochromatographic assay for the detection of imidacloprid in Chinese cabbage samples

Cited by 45 publications

References 35 publications

The end user sensor tree: An end-user friendly sensor database

The end user sensor tree: An end-user friendly sensor database

Quantitative Determination of Acetamiprid in Pollen Based on a Sensitive Enzyme-Linked Immunosorbent Assay

Lateral Flow Assay Based on Paper–Hydrogel Hybrid Material for Sensitive Point‐of‐Care Detection of Dengue Virus

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