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[1] Au@Ag nanoflowers based SERS coupled chemometric algorithms for determination of organochlorine pesticides in milk
[2] Upconversion Nanoprobes Based on a Horseradish Peroxidase-Regulated Dual-Mode Strategy for the Ultrasensitive Detection of Staphylococcus aureus in Meat
[3] Highly specific and sensitive detection of aflatoxin B1 in food based on upconversion nanoparticles-black phosphorus nanosheets aptasensor
[4] A SERS aptasensor based on AuNPs functionalized PDMS film for selective and sensitive detection of Staphylococcus aureus
[5] Rapid prediction of caffeine in tea based on surface-enhanced Raman spectroscopy coupled multivariate calibration
[6] SERS Sensors Based on Aptamer-Gated Mesoporous Silica Nanoparticles for Quantitative Detection of Staphylococcus aureus with Signal Molecular Release
[7] A feasibility of nondestructive rapid detection of total volatile basic nitrogen content in frozen pork based on portable near-infrared spectroscopy
[8] Cysteamine-mediated upconversion sensor for lead ion detection in food
[9] A highly sensitive detection of carbendazim pesticide in food based on the upconversion-MnO2 luminescent resonance energy transfer biosensor
[10] Lanthanide ion (Ln(3+))-based upconversion sensor for quantification of food contaminants: A review
[11] Measurement of total free amino acids content in black tea using electronic tongue technology coupled with chemometrics
[12] Near infrared chemo-responsive dye intermediaries spectra-based in-situ quantification of volatile organic compounds
[13] Rapid on-site identification of pesticide residues in tea by one-dimensional convolutional neural network coupled with surface-enhanced Raman scattering
[14] Detection of mites Tyrophagus putrescentiae and Cheyletus eruditus in flour using hyperspectral imaging system coupled with chemometrics
[15] A novel hyperspectral microscope imaging technology for rapid evaluation of particle size distribution in matcha
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