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[1] Ratiometric upconversion fluorometric turn-off nanosensor for quantification of furfural in foods
[2] Development of a fluorescence sensing platform for specific and sensitive detection of pathogenic bacteria in food samples
[3] Physicochemical indicators coupled with multivariate analysis for comprehensive evaluation of matcha sensory quality
[4] SERS Sensors Based on Aptamer-Gated Mesoporous Silica Nanoparticles for Quantitative Detection of Staphylococcus aureus with Signal Molecular Release
[5] Cysteamine-mediated upconversion sensor for lead ion detection in food
[6] Application of benchtop NIR spectroscopy coupled with multivariate analysis for rapid prediction of antioxidant properties of walnut (Juglans regia)
[7] Upconversion nanoparticles-based FRET system for sensitive detection of Staphylococcus aureus
[8] Upconversion Nanoprobes Based on a Horseradish Peroxidase-Regulated Dual-Mode Strategy for the Ultrasensitive Detection of Staphylococcus aureus in Meat
[9] Highly specific and sensitive detection of aflatoxin B1 in food based on upconversion nanoparticles-black phosphorus nanosheets aptasensor
[10] Lanthanide ion (Ln(3+))-based upconversion sensor for quantification of food contaminants: A review
[11] Development of a bimodal sensor based on upconversion nanoparticles and surface-enhanced Raman for the sensitive determination of dibutyl phthalate in food
[12] A highly sensitive detection of carbendazim pesticide in food based on the upconversion-MnO2 luminescent resonance energy transfer biosensor
[13] A turn-on upconversion fluorescence sensor for acrylamide in potato chips based on fluorescence resonance energy transfer and thiol-ene Michael addition
[14] Simultaneous quantification of chemical constituents in matcha with visible-near infrared hyperspectral imaging technology
[15] 新工科背景下《食品无损检测技术》课程教学改革探索
total74 3/5
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