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[1] 新工科背景下《食品无损检测技术》课程教学改革探索
[2] Lanthanide ion (Ln(3+))-based upconversion sensor for quantification of food contaminants: A review
[3] Development of a bimodal sensor based on upconversion nanoparticles and surface-enhanced Raman for the sensitive determination of dibutyl phthalate in food
[4] Simultaneous quantification of chemical constituents in matcha with visible-near infrared hyperspectral imaging technology
[5] A SERS aptasensor based on AuNPs functionalized PDMS film for selective and sensitive detection of Staphylococcus aureus
[6] Highly specific and sensitive detection of aflatoxin B1 in food based on upconversion nanoparticles-black phosphorus nanosheets aptasensor
[7] Au@Ag nanoflowers based SERS coupled chemometric algorithms for determination of organochlorine pesticides in milk
[8] Upconversion Nanoprobes Based on a Horseradish Peroxidase-Regulated Dual-Mode Strategy for the Ultrasensitive Detection of Staphylococcus aureus in Meat
[9] Rapid prediction of caffeine in tea based on surface-enhanced Raman spectroscopy coupled multivariate calibration
[10] Measurement of total free amino acids content in black tea using electronic tongue technology coupled with chemometrics
[11] A highly sensitive upconversion nanoparticles-WS2 nanosheet sensing platform for Escherichia coli detection
[12] Design of Physicochemical Factors for Regulating the Retention Mechanism of 4-Aminothiophenol in Surface-Enhanced Raman Scattering toward Nitrite Sensing
[13] Rapid on-site identification of pesticide residues in tea by one-dimensional convolutional neural network coupled with surface-enhanced Raman scattering
[14] A feasibility of nondestructive rapid detection of total volatile basic nitrogen content in frozen pork based on portable near-infrared spectroscopy
[15] Detection of mites Tyrophagus putrescentiae and Cheyletus eruditus in flour using hyperspectral imaging system coupled with chemometrics
total80 4/6
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