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• W2607159483 abstract "Because traditional detection of genetically modified organisms (GMOs) has the disadvantages of being costly, time consuming, and awkward to perform, a novel method for the detection of GMOs based on terahertz spectroscopy combined with chemometrics methods is proposed. In this work, terahertz spectrum data of a genetically modified sugar beet and its parents are pretreated by using principal component analysis and then using the weighted discriminant analysis model, which is an improved discriminant analysis that applys a weighted algorithm to the detection of a genetically modified sugar beet and its parents. It is found from the experimental results that the samples are expressed by the zonation of saline minerals. By analyzing this phenomenon, it is easy to identify these genetically modified sugar beets. By combining terahertz spectroscopy with chemometrics methods, this paper provides a precise, fast, convenient, and nondestructive method for the detection of GMOs." @default.
• W2607159483 created "2017-04-28" @default.
• W2607159483 creator A5075662908 @default.
• W2607159483 date "2016-10-01" @default.
• W2607159483 modified "2023-09-24" @default.
• W2607159483 title "Terahertz spectroscopy detection of genetically modified sugar beets containing the Xa21 gene based on chemometrics methods" @default.
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• W2607159483 doi "https://doi.org/10.1364/jot.83.000627" @default.
• W2607159483 hasPublicationYear "2016" @default.
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