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Full-Text Articles in Life Sciences
Research Progress Of Triplex Nucleic Acid In Food Safety Detection, Sun Hai-Yan, Lei Yan-Li, Chen Wei-Ju, Quan Ke
Research Progress Of Triplex Nucleic Acid In Food Safety Detection, Sun Hai-Yan, Lei Yan-Li, Chen Wei-Ju, Quan Ke
Food and Machinery
This paper reviews the structure and stability of triplex nucleic acid, the progress of triplex nucleic acid-based fluorescence, electrochemical, colorimetric platform in detecting food borne hazards, and discusses the challenges and future development prospect of triplex nucleic acid-based detection technology in food safety field.
Progress In Food Safety Rapid Analysis Based On Deoxyribozyme, Zeng Yu, Chen Wei-Ju, Quan Ke, Lei Yan-Li
Progress In Food Safety Rapid Analysis Based On Deoxyribozyme, Zeng Yu, Chen Wei-Ju, Quan Ke, Lei Yan-Li
Food and Machinery
The article expounds the structure and activity of DNAzyme, and reviews the application progress of DNAzymes in the detection of heavy metal ions, pathogenic bacteria, microbial toxin and other illegal chemical components in food. The challenges faced by DNAzymes in the actual detection of food harmful substances are analyzed and summarized, and future development prospect in rapid and on-site detection are prospected.
Development Of Rapid Detection Technique For Potassium Content In Cigarette Paper, Chen Peng-Fei, Wang Si-Lu, Yu Sai-Bo, Peng Xing, Huang Jia-Ying, Xiao Yang, Xiao Zhong-Liang, Cao Zhong
Development Of Rapid Detection Technique For Potassium Content In Cigarette Paper, Chen Peng-Fei, Wang Si-Lu, Yu Sai-Bo, Peng Xing, Huang Jia-Ying, Xiao Yang, Xiao Zhong-Liang, Cao Zhong
Food and Machinery
Objective:A method for simple and rapid determination of potassium content in cigarette paper will be built for workshops of cigarette factory.Methods:An ion-selective electrode method was used by comparing with the pretreatment methods for cigarette paper samples and potential response behaviors of potassium ion-selective electrodes in different buffer solutions.Results: The potassium ion selective electrode possessed excellent response performance for K+in lithium acetate buffer solution (0.1 mol/L, pH 7.0) with a linear response range of 1.0×10-5~1.0×10-2mol/L, a slope of 55.79 mV/dec(25 ℃), and a lower limit of detection of 2.14×10-6mol/L. The average relative standard deviations of the K+selective …
Rapid Determination Of Erythrosine In Beverages By Uplc, Xie Sai
Rapid Determination Of Erythrosine In Beverages By Uplc, Xie Sai
Food and Machinery
Objective:In order to develop a method, an easy handling of samples and accurate and rapid detection of erythrosine by ultra-high performance liquid chromatography (UPLC) was established.Methods:The analysis was as follows: chromatographic column of ACQUITY UPLC BEH C18(100 mm×2.1 mm,1.7 μm), diode array detector with detection wavelength at 530 nm, column temperature at 40 ℃, mobile phase with acetonitrile and0.02 mol/Lammonium acetate solution (acetic acid to adjust pH 6.25), gradient elution including acetonitrile 0 min-5%, 2 min-25%, 3 min-45%,6 min-70%, 6.5 min-5% and 8 min-5%, flow rate at0.3 mL/min, and with injection volume of 5 μL. …
Research On Rapid Prediction Model Of Rice Moisture Content Based On Near Infrared Spectroscopy, Lu Du, Tang Jian-Bo, Jiang Tai-Ling, Chen Zhong-Ai, Pan Mu
Research On Rapid Prediction Model Of Rice Moisture Content Based On Near Infrared Spectroscopy, Lu Du, Tang Jian-Bo, Jiang Tai-Ling, Chen Zhong-Ai, Pan Mu
Food and Machinery
Objective:In order to established a non-destructive, rapid and efficient method for detecting the moisture content of rice. Methods:This study, 161 rice samples were collected from 5 different regions were studied by near infrared spectroscopy combined with stoichiometry. By eliminating abnormal spectra and preprocessing the spectra, the prediction model of rice moisture content was established by partial least squares regression. Results:15 abnormal spectrum samples were eliminated using the method of principal component analysis combined with mahalanobis distance. The best spectral pretreatment was to eliminate the constant offset. The prediction model R2CAL established in the training set was 0.994 …