Matches in SemOpenAlex for { <https://semopenalex.org/work/W4210862015> ?p ?o ?g. }
- W4210862015 endingPage "132318" @default.
- W4210862015 startingPage "132318" @default.
- W4210862015 abstract "The Horsemeat Scandal makes people pay more attention to the meat authenticity. However, expensive equipment, complicated operations, and professional personnel of current methods limit their field testing. In this study, CRISPR/Cas12a combined with recombinase polymerase amplification was used to establish a sensitive and rapid detection method for pig-derived component. The detection limit can reach to 10-3 ng for pig DNA and be completed within 30 min. Beef and pork binary mixture models under different processing conditions of raw meat, boiled, and high-pressure were tested. Combining with two different DNA extraction methods, the detection limits of pork are as low as 0.1% and 0.001% (w/w), respectively. After 125 commercial products are tested, the results are completely consistent with the Chinese national standard real-time PCR method. This method not only has better detectability, but also can quickly and conveniently realize the visual identification of pig-derived ingredients, thus is suitable for on-site detection." @default.
- W4210862015 created "2022-02-09" @default.
- W4210862015 creator A5005467119 @default.
- W4210862015 creator A5018244700 @default.
- W4210862015 creator A5031397812 @default.
- W4210862015 creator A5031899206 @default.
- W4210862015 creator A5034126930 @default.
- W4210862015 creator A5038332090 @default.
- W4210862015 creator A5050178149 @default.
- W4210862015 creator A5065821678 @default.
- W4210862015 creator A5066425552 @default.
- W4210862015 date "2022-07-30" @default.
- W4210862015 modified "2023-10-18" @default.
- W4210862015 title "Alkaline lysis-recombinase polymerase amplification combined with CRISPR/Cas12a assay for the ultrafast visual identification of pork in meat products." @default.
- W4210862015 cites W1965661608 @default.
- W4210862015 cites W1977418426 @default.
- W4210862015 cites W1997993483 @default.
- W4210862015 cites W2015636195 @default.
- W4210862015 cites W2020501634 @default.
- W4210862015 cites W2055394621 @default.
- W4210862015 cites W2124388447 @default.
- W4210862015 cites W2278643120 @default.
- W4210862015 cites W2292746877 @default.
- W4210862015 cites W2337996915 @default.
- W4210862015 cites W2346028445 @default.
- W4210862015 cites W2514985375 @default.
- W4210862015 cites W2519023046 @default.
- W4210862015 cites W2606915822 @default.
- W4210862015 cites W2741978449 @default.
- W4210862015 cites W2766965536 @default.
- W4210862015 cites W2785904295 @default.
- W4210862015 cites W2787024379 @default.
- W4210862015 cites W2790313560 @default.
- W4210862015 cites W2793115223 @default.
- W4210862015 cites W2801783434 @default.
- W4210862015 cites W2899053130 @default.
- W4210862015 cites W2899689487 @default.
- W4210862015 cites W2901102877 @default.
- W4210862015 cites W2953034551 @default.
- W4210862015 cites W2989839883 @default.
- W4210862015 cites W2999824979 @default.
- W4210862015 cites W3004733308 @default.
- W4210862015 cites W3004806486 @default.
- W4210862015 cites W3005733211 @default.
- W4210862015 cites W3012815342 @default.
- W4210862015 cites W3015576210 @default.
- W4210862015 cites W3035322821 @default.
- W4210862015 cites W3042243693 @default.
- W4210862015 cites W3087541931 @default.
- W4210862015 cites W3091240218 @default.
- W4210862015 cites W3093322893 @default.
- W4210862015 cites W3135756098 @default.
- W4210862015 cites W3152165805 @default.
- W4210862015 cites W3162451617 @default.
- W4210862015 doi "https://doi.org/10.1016/j.foodchem.2022.132318" @default.
- W4210862015 hasPubMedId "https://pubmed.ncbi.nlm.nih.gov/35168043" @default.
- W4210862015 hasPublicationYear "2022" @default.
- W4210862015 type Work @default.
- W4210862015 citedByCount "23" @default.
- W4210862015 countsByYear W42108620152022 @default.
- W4210862015 countsByYear W42108620152023 @default.
- W4210862015 crossrefType "journal-article" @default.
- W4210862015 hasAuthorship W4210862015A5005467119 @default.
- W4210862015 hasAuthorship W4210862015A5018244700 @default.
- W4210862015 hasAuthorship W4210862015A5031397812 @default.
- W4210862015 hasAuthorship W4210862015A5031899206 @default.
- W4210862015 hasAuthorship W4210862015A5034126930 @default.
- W4210862015 hasAuthorship W4210862015A5038332090 @default.
- W4210862015 hasAuthorship W4210862015A5050178149 @default.
- W4210862015 hasAuthorship W4210862015A5065821678 @default.
- W4210862015 hasAuthorship W4210862015A5066425552 @default.
- W4210862015 hasConcept C104317684 @default.
- W4210862015 hasConcept C116834253 @default.
- W4210862015 hasConcept C119128265 @default.
- W4210862015 hasConcept C139713532 @default.
- W4210862015 hasConcept C185592680 @default.
- W4210862015 hasConcept C31903555 @default.
- W4210862015 hasConcept C43617362 @default.
- W4210862015 hasConcept C49105822 @default.
- W4210862015 hasConcept C54355233 @default.
- W4210862015 hasConcept C59822182 @default.
- W4210862015 hasConcept C70721500 @default.
- W4210862015 hasConcept C78063203 @default.
- W4210862015 hasConcept C86803240 @default.
- W4210862015 hasConcept C98108389 @default.
- W4210862015 hasConceptScore W4210862015C104317684 @default.
- W4210862015 hasConceptScore W4210862015C116834253 @default.
- W4210862015 hasConceptScore W4210862015C119128265 @default.
- W4210862015 hasConceptScore W4210862015C139713532 @default.
- W4210862015 hasConceptScore W4210862015C185592680 @default.
- W4210862015 hasConceptScore W4210862015C31903555 @default.
- W4210862015 hasConceptScore W4210862015C43617362 @default.
- W4210862015 hasConceptScore W4210862015C49105822 @default.
- W4210862015 hasConceptScore W4210862015C54355233 @default.
- W4210862015 hasConceptScore W4210862015C59822182 @default.
- W4210862015 hasConceptScore W4210862015C70721500 @default.
- W4210862015 hasConceptScore W4210862015C78063203 @default.
- W4210862015 hasConceptScore W4210862015C86803240 @default.