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[1] Application of benchtop NIR spectroscopy coupled with multivariate analysis for rapid prediction of antioxidant properties of walnut (Juglans regia)
[2] Simultaneous quantification of chemical constituents in matcha with visible-near infrared hyperspectral imaging technology
[3] Rapid prediction of caffeine in tea based on surface-enhanced Raman spectroscopy coupled multivariate calibration
[4] Development of a bimodal sensor based on upconversion nanoparticles and surface-enhanced Raman for the sensitive determination of dibutyl phthalate in food
[5] A highly sensitive detection of carbendazim pesticide in food based on the upconversion-MnO2 luminescent resonance energy transfer biosensor
[6] SERS Sensors Based on Aptamer-Gated Mesoporous Silica Nanoparticles for Quantitative Detection of Staphylococcus aureus with Signal Molecular Release
[7] Cysteamine-mediated upconversion sensor for lead ion detection in food
[8] Au@Ag nanoflowers based SERS coupled chemometric algorithms for determination of organochlorine pesticides in milk
[9] Highly specific and sensitive detection of aflatoxin B1 in food based on upconversion nanoparticles-black phosphorus nanosheets aptasensor
[10] A turn-on upconversion fluorescence sensor for acrylamide in potato chips based on fluorescence resonance energy transfer and thiol-ene Michael addition
[11] Measurement of total free amino acids content in black tea using electronic tongue technology coupled with chemometrics
[12] Lanthanide ion (Ln(3+))-based upconversion sensor for quantification of food contaminants: A review
[13] A novel hyperspectral microscope imaging technology for rapid evaluation of particle size distribution in matcha
[14] A highly sensitive upconversion nanoparticles-WS2 nanosheet sensing platform for Escherichia coli detection
[15] Assessment of matcha sensory quality using hyperspectral microscope imaging technology
total67 3/5
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