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204 results about "Colorimetric sensor" patented technology

CRISPR/Cas-driven DNA hydrogel colorimetric sensor as well as preparation method and application thereof

The invention discloses a CRISPR (clustered regularly interspaced short palindromic repeats)/Cas-driven DNA (deoxyribonucleic acid) hydrogel colorimetric sensor. The CRISPR/Cas-driven DNA hydrogel colorimetric sensor comprises DNA hydrogel and an sgRNA-Cas protein complex, wherein a metal organic framework material is embedded in the DNA hydrogel; the DNA hydrogel in the DNA hydrogel embedded with the metal organic framework material contains a DNA chain with a specific nucleotide sequence; and the sgRNA-Cas protein complex is formed by compounding Cas protein and sgRNA corresponding to the Cas protein, and a part of nucleotide sequence of the sgRNA is complementary with a nucleotide sequence of target DNA of a target object to be detected. According to the DNA hydrogel colorimetric sensor, the DNA hydrogel embedded with the metal organic framework material is introduced for signal amplification, a to-be-detected target does not need to be amplified or enriched, the sensitivity is high, and the accuracy is high. The invention further discloses a preparation method and application of the DNA hydrogel colorimetric sensor. The DNA hydrogel colorimetric sensor is easy to operate, short in time consumption, low in cost, high in sensitivity and accurate in detection result.
Owner:CENT SOUTH UNIV

Method for monitoring fermentation degree of black tea through hyperspectral coupled nanocrystallization colorimetric sensor

The invention relates to the technical field of tea quality monitoring, in particular to a method for monitoring the fermentation degree of black tea through a hyperspectral coupled nanocrystallization colorimetric sensor. Volatile substances in the fermentation process of black tea are captured by utilizing a nanocrystallization colorimetric sensing array, colorimetric array feature information is efficiently extracted by combining a hyperspectral image technology with dimension reduction algorithms such as principal component analysis and linear discriminant analysis, and an information fusion discrimination model with strong robustness and high accuracy is established by adopting algorithms such as partial least squares discrimination, multivariate linear discrimination, a support vector machine, an extreme learning machine, an artificial neural network and a deep belief network to realize rapid and accurate discrimination of the fermentation degree of black tea. The method has the characteristics that the analysis speed is high, the sensitivity is high, the cost is low, a sample does not need to be pretreated, and online nondestructive detection is facilitated.
Owner:ANHUI AGRICULTURAL UNIVERSITY
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