XRD data of raw lotus fibers and lotus fibers after being treated with hydrogen peroxide

XRD data of raw lotus fibers and lotus fibers after being treated with hydrogen peroxid

Supplementary Material for RSC Open Science 23.6.2017

Supplementary Material for RSC Open Science 23.6.201

Monodisperse Ag Nanoparticle-Decorated Bacterial Nanocellulose as Flexible Surface-Enhanced Raman Scattering Sensors for Trace Detection of Toxic Thiram

Surface-enhanced Raman spectroscopy (SERS) is becoming an attractive technique for applications in food safety detection, environmental monitoring, disease diagnosis, and molecular identification. However, SERS substrates often suffer from low sensitivity, poor signal homogeneity, and stability. Herein, solution-processable monodisperse Ag nanoparticles (M-AgNPs) with an average diameter of 66 nm are synthesized by a size-controllable seeded-growth method. Furthermore, the M-AgNPs were coated on the surface of bacterial nanocellulose (BNC) to form flexible monodisperse Ag nanoparticles@bacterial nanocellulose (M-Ag@BNC) SERS sensors by a simple vacuum-assisted filtration. The SERS performance of flexible M-Ag@BNC substrates with various M-Ag loadings is systematically investigated. Due to the highly homogeneous distribution of M-AgNPs, the optimal M-Ag-12@BNC SERS sensor exhibits high sensitivity with a detection sensitivity of 10–13 M for methylene blue, excellent reproducibility (relative standard deviation (RSD) = 4.48%), and prominent storage stability (over 20 days). Besides, the hydrophilic BNC with good permeability and adsorption properties can absorb target molecules in the high-density hot-spot regions to further enhance SERS performance. Finite-difference time domain (FDTD) is also used to simulate and verify the strong electric field distribution of a M-AgNP-based SERS sensor. Finally, the M-Ag-12@BNC SERS sensor is successfully applied to detect pesticide residues on irregular fruit surfaces by a simple and feasible paste-and-read method. The sensitivity of a flexible M-Ag@BNC SERS sensor for thiram is up to 10–8 M. The flexible, ultrasensitive, and stable M-Ag@BNC SERS sensor exhibits potential applications in trace identification of hazardous organic molecules

Monodisperse Ag Nanoparticle-Decorated Bacterial Nanocellulose as Flexible Surface-Enhanced Raman Scattering Sensors for Trace Detection of Toxic Thiram

Surface-enhanced Raman spectroscopy (SERS) is becoming an attractive technique for applications in food safety detection, environmental monitoring, disease diagnosis, and molecular identification. However, SERS substrates often suffer from low sensitivity, poor signal homogeneity, and stability. Herein, solution-processable monodisperse Ag nanoparticles (M-AgNPs) with an average diameter of 66 nm are synthesized by a size-controllable seeded-growth method. Furthermore, the M-AgNPs were coated on the surface of bacterial nanocellulose (BNC) to form flexible monodisperse Ag nanoparticles@bacterial nanocellulose (M-Ag@BNC) SERS sensors by a simple vacuum-assisted filtration. The SERS performance of flexible M-Ag@BNC substrates with various M-Ag loadings is systematically investigated. Due to the highly homogeneous distribution of M-AgNPs, the optimal M-Ag-12@BNC SERS sensor exhibits high sensitivity with a detection sensitivity of 10–13 M for methylene blue, excellent reproducibility (relative standard deviation (RSD) = 4.48%), and prominent storage stability (over 20 days). Besides, the hydrophilic BNC with good permeability and adsorption properties can absorb target molecules in the high-density hot-spot regions to further enhance SERS performance. Finite-difference time domain (FDTD) is also used to simulate and verify the strong electric field distribution of a M-AgNP-based SERS sensor. Finally, the M-Ag-12@BNC SERS sensor is successfully applied to detect pesticide residues on irregular fruit surfaces by a simple and feasible paste-and-read method. The sensitivity of a flexible M-Ag@BNC SERS sensor for thiram is up to 10–8 M. The flexible, ultrasensitive, and stable M-Ag@BNC SERS sensor exhibits potential applications in trace identification of hazardous organic molecules

Monodisperse Ag Nanoparticle-Decorated Bacterial Nanocellulose as Flexible Surface-Enhanced Raman Scattering Sensors for Trace Detection of Toxic Thiram

Surface-enhanced Raman spectroscopy (SERS) is becoming an attractive technique for applications in food safety detection, environmental monitoring, disease diagnosis, and molecular identification. However, SERS substrates often suffer from low sensitivity, poor signal homogeneity, and stability. Herein, solution-processable monodisperse Ag nanoparticles (M-AgNPs) with an average diameter of 66 nm are synthesized by a size-controllable seeded-growth method. Furthermore, the M-AgNPs were coated on the surface of bacterial nanocellulose (BNC) to form flexible monodisperse Ag nanoparticles@bacterial nanocellulose (M-Ag@BNC) SERS sensors by a simple vacuum-assisted filtration. The SERS performance of flexible M-Ag@BNC substrates with various M-Ag loadings is systematically investigated. Due to the highly homogeneous distribution of M-AgNPs, the optimal M-Ag-12@BNC SERS sensor exhibits high sensitivity with a detection sensitivity of 10–13 M for methylene blue, excellent reproducibility (relative standard deviation (RSD) = 4.48%), and prominent storage stability (over 20 days). Besides, the hydrophilic BNC with good permeability and adsorption properties can absorb target molecules in the high-density hot-spot regions to further enhance SERS performance. Finite-difference time domain (FDTD) is also used to simulate and verify the strong electric field distribution of a M-AgNP-based SERS sensor. Finally, the M-Ag-12@BNC SERS sensor is successfully applied to detect pesticide residues on irregular fruit surfaces by a simple and feasible paste-and-read method. The sensitivity of a flexible M-Ag@BNC SERS sensor for thiram is up to 10–8 M. The flexible, ultrasensitive, and stable M-Ag@BNC SERS sensor exhibits potential applications in trace identification of hazardous organic molecules

Measurement and Correlation of Solubility of Glutathione in Four Binary Solvents from 278.15 to 318.15 K

The solubilities of glutathione in four binary solvent mixtures (water + acetone, water + 1,4-dioxane, water + acetonitrile, and water + tetrahydrofuran) were measured using a dynamic laser monitoring method at temperatures ranging from 278.15 to 318.15 K. The molar fraction solubility of glutathione in the binary solvent increased with increasing water content and temperature. The modified Apelblat, CNIBS/R-K, Van’t Hoff–Jouyban–Acree, Apelblat–Jouyban–Acree, and NRTL were applied to calculate the solubility of glutathione in these mixtures. The relative average deviation and root-mean-square deviation indicated a good correlation between the experimental and model solubility data. In addition, the KAT-LSER model was used to evaluate the solvent effect in the solvent–solvent and solvent–solute interactions. The results showed that the nonspecific dipolarity/polarizability interactions between the solvent and the solute were the main influencing factors, followed by the hydrogen bonding interactions between the solvent and the solute