Multianalyte, dipstick-type, nanoparticle-based DNA biosensor for visual genotyping of single-nucleotide polymorphisms

Litos, Ioannis; Ioannou, Penelope C.; Christopoulos, Theodore K.; Traeger-Synodinos, Joanne; Kanavakis, Emmanuel

doi:10.1016/j.bios.2009.03.010

Cited by 53 publications

(31 citation statements)

References 14 publications

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“…AuNPs exhibit strong surface plasmon resonance (SPR) that depends on the size of AuNPs and the relative distance between AuNPs [9–11]. We can find nanobiosensors for the specific detection of biologically-relevant molecules like enzymes [12] nucleic acids [13] and proteins [14]. Magnetic nanoparticles (MNPs) have found a lot of applications in immunoanalysis, immobilization, and purification of enzymes, DNA and proteins, and anti-tumor drug transportation and in the conception of biosensors [15–17].…”

Section: Introductionmentioning

confidence: 99%

Enhanced Response of a Proteinase K-Based Conductometric Biosensor Using Nanoparticles

Nouira

Maaref

Elaissari

et al. 2014

Sensors

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Proteinases are involved in a multitude of important physiological processes, such as protein metabolism. For this reason, a conductometric enzyme biosensor based on proteinase K was developed using two types of nanoparticles (gold and magnetic). The enzyme was directly adsorbed on negatively charged nanoparticles and then deposited and cross-linked on a planar interdigitated electrode (IDE). The biosensor was characterized with bovine serum albumin (BSA) as a standard protein. Higher sensitivity was obtained using gold nanoparticles. The linear range for BSA determination was then from 0.5 to 10 mg/L with a maximum response of 154 μs. These results are greater than that found without any nanoparticles (maximum response of 10 μs). The limit of detection (LOD) was 0.3 mg/L. An inter-sensor reproducibility of 3.5% was obtained.

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Section: Introductionmentioning

confidence: 99%

Enhanced Response of a Proteinase K-Based Conductometric Biosensor Using Nanoparticles

Nouira

Maaref

Elaissari

et al. 2014

Sensors

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“…With the development of genetic therapy, clinical diagnosis and molecular biology, SNP is regarded as not only a genetic marker in the study of cancer-related drug metabolism or reactivity, but also a fundamental tool in the identification of inherited disease-causing genes (Imyanitov et al, 2004;McCarthy and Hilfiker, 2000;Sidransky, 2002;Sauna, 2007). Therefore, great efforts have been devoted to developing technique methods for screening SNP, such as allele specific oligonucleotide hybridization (Ding et al, 2010;Liu et al, 2005;Liu and Lin, 2007), endonuclease digestion (Gaylord et al, 2005;Li and Liu, 2009), primer extension (Duan et al, 2009a;Litos et al, 2009;Nelson et al, 1996), oligonucleotide ligation (Huh et al, 2009;Lowe et al, 2010;Xue et al, 2009), nonenzymatic ligation (Xu et al, 2001), DNA-specific redox indicators and conjugated mediators (Drummond et al, 2003;Kelley et al, 1999), in combination with fluorescence (FL) (Duan et al, 2007;Guo et al, 2010;Liu et al, 2009;Wang and Liu, 2007), electrochemistry (Kerman et al, 2004;, chemiluminescence (Liu et al, 2006), colorimetry (He et al, 2010a,b;Lee et al, 2010), and mass spectrometry (Mattes and Seitz, 2001) as signal readout.…”

Section: Introductionmentioning

confidence: 99%

A graphene-based platform for single nucleotide polymorphism (SNP) genotyping

Liu

Zhao

Chen

et al. 2011

Biosensors and Bioelectronics

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“…In NALFIA, nucleic acids can be captured on the lateral flow test strips either in an antibody-independent or antibody-dependent manner [11, 12]. In the first one, a hybridization step is required upon running the sample through the membrane [11–15]. The second and simpler approach uses immobilised antibodies to directly recognise specific tag-labelled amplicons [11, 12, 16, 17].…”

Section: Introductionmentioning

confidence: 99%

Carbon nanoparticles in lateral flow methods to detect genes encoding virulence factors of Shiga toxin-producing Escherichia coli

et al. 2010

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The use of carbon nanoparticles is shown for the detection and identification of different Shiga toxin-producing Escherichia coli virulence factors (vt1, vt2, eae and ehxA) and a 16S control (specific for E. coli) based on the use of lateral flow strips (nucleic acid lateral flow immunoassay, NALFIA). Prior to the detection with NALFIA, a rapid amplification method with tagged primers was applied. In the evaluation of the optimised NALFIA strips, no cross-reactivity was found for any of the antibodies used. The limit of detection was higher than for quantitative PCR (q-PCR), in most cases between 104 and 105 colony forming units/mL or 0.1–0.9 ng/μL DNA. NALFIA strips were applied to 48 isolates from cattle faeces, and results were compared to those achieved by q-PCR. E. coli virulence factors identified by NALFIA were in very good agreement with those observed in q-PCR, showing in most cases sensitivity and specificity values of 1.0 and an almost perfect agreement between both methods (kappa coefficient larger than 0.9). The results demonstrate that the screening method developed is reliable, cost-effective and user-friendly, and that the procedure is fast as the total time required is <1 h, which includes amplification.FigureResults achieved with multi-analyte NALFIA for E. coli virulence factors. First strip: blank; second to sixth strip: each of the STEC factors; seventh strip: all factorsElectronic supplementary materialThe online version of this article (doi:10.1007/s00216-010-4334-z) contains supplementary material, which is available to authorized users.

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Multianalyte, dipstick-type, nanoparticle-based DNA biosensor for visual genotyping of single-nucleotide polymorphisms

Cited by 53 publications

References 14 publications

Enhanced Response of a Proteinase K-Based Conductometric Biosensor Using Nanoparticles

Enhanced Response of a Proteinase K-Based Conductometric Biosensor Using Nanoparticles

A graphene-based platform for single nucleotide polymorphism (SNP) genotyping

Carbon nanoparticles in lateral flow methods to detect genes encoding virulence factors of Shiga toxin-producing Escherichia coli

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