2010
DOI: 10.1007/s12562-010-0281-z
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Quantification of relative flying fish paste content in the processed seafood ago-noyaki using real-time PCR

Abstract: Real-time polymerase chain reaction (PCR) analysis of the 3 0 -portion of the mitochondrial 16S RNA gene (rDNA) coding sequence was used to determine flying fish paste in ago-noyaki. We quantified the amount of flying fish paste in ago-noyaki samples using flying fishspecific primers (Tobi16SF3/Tobi16SR) and universal primers (Univ16SF2/Univ16SR2). Using real-time PCR of standard ago-noyaki, a standard equation was obtained (y = 1.08x -3.20; R 2 = 0.977). This equation was then used to estimate the relative fl… Show more

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Cited by 5 publications
(6 citation statements)
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“…However, the results presented here show that it is possible to quantify similar percentages of target species present in food model samples with lower SEs (see Table 3) than described by these authors. These results are consistent with previous reports (Nagase et al 2010;Prado, Boix & Holst, 2012), which support the use of particular species to determine the quantities of the genus, in this case, Merluccius spp. These authors employed a binary mixture composed of a target species at various percentages and one non-target species as a standard curve, obtaining quantification results in accordance with the expected levels.…”
Section: Quantification Of Merluccius Spp In Food Model Samplessupporting
confidence: 93%
See 1 more Smart Citation
“…However, the results presented here show that it is possible to quantify similar percentages of target species present in food model samples with lower SEs (see Table 3) than described by these authors. These results are consistent with previous reports (Nagase et al 2010;Prado, Boix & Holst, 2012), which support the use of particular species to determine the quantities of the genus, in this case, Merluccius spp. These authors employed a binary mixture composed of a target species at various percentages and one non-target species as a standard curve, obtaining quantification results in accordance with the expected levels.…”
Section: Quantification Of Merluccius Spp In Food Model Samplessupporting
confidence: 93%
“…In contrast, reports of species quantification in fish products using real-time PCR are still rare, and only a few works have been published, mainly focused on relative quantification in food model samples (Hird et al 2005;López & Pardo 2005;Nagase et al 2010;Benedetto, Abete, & Squadrone 2011).…”
Section: Introductionmentioning
confidence: 99%
“…Floren et al, 2015;Thomas et al, 2016;Ushio et al, 2018). Quantifying input biomass from DNA analysed in fish products is an emerging area of research and has a large unexplored potential in comparison to traditional visual identification, especially in samples where the morphological characteristics are sparse or absent (Nagase et al, 2010;Bojolly et al, 2017;Sánchez et al, 2019). Further, DNA, particularly mitochondrial DNA (mtDNA), has been found suitable for species detection and quantification even when products are highly processed (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…Further, DNA, particularly mitochondrial DNA (mtDNA), has been found suitable for species detection and quantification even when products are highly processed (e.g. Nagase et al, 2010;Wen et al, 2015;Piskata et al, 2017). Quantitative real-time PCR (qPCR) is the gold standard of DNA quantification and has been utilized in food fraud detection of raw and processed meat for over a decade (e.g.…”
Section: Introductionmentioning
confidence: 99%
“…DNA based methods tend to be more favorite due to their superior discrimination abilities. In particular, Real-time PCR has become routine in fish species identification because of the specificity and the sensitivity (Hellberg et al, 2011;Herrero, Madrinan, Vieites, & Espineira, 2010;Hird et al, 2005;Lopez & Pardo, 2005;Nagase et al, 2009;Sanchez, Quinteiro, Rey-Mendez, Perez-Martin, & Sotelo, 2009).…”
Section: Introductionmentioning
confidence: 99%