Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy

UV–Visible spectrum,Fluorescence spectrum ,The relative viscosities,CD spectra ,

The raw data and data process of this paper.

DFT calculations on molecular orbitals and vibrations of FG and F2G.

these data show optical properties of Nano-phosphors such as Diffuse reflectance spectral studies and calculate band gap, also show Photo-luminescence studies

The spectra data, models and the prediction results. The files should be open with Unscrambler X 10.4 software.

The basic data content of the article.

The public NIR testing data were from the appendix of the published articles [1,2]. [1] R. Zhang, Y.Y. Chen, Z.B. Wang, K.W. Li, A novel ensemble L1 regularization based variable selection framework with an application in near infrared spectroscopy, Chemometr Intell Lab 163 (2017) 7-15. [2] J.H. Kalivas, Two data sets of near infrared spectra, Chemometr Intell Lab 37(2) (1997) 255-259. ① This data set consists of 80 samples of corn measured on 3 different NIR spectrometers, we anlysis one NIR spectrometer: m5spec. The wavelength range is 1100-2498nm at 2 nm intervals (700 channels). The moisture, oil, protein and starch values for each of the samples is also included. A number of NBS glass standards were also measured on each instrument. The data was originally taken at Cargill. Many thanks for Mike Blackburn for letting us distribute it. ② NIR spectra and octane numbers of 60 gasoline samples NIR: NIR spectra, measured in 2 nm intervals from 900 nm to 1700 nm octane: octane numbers spectra: a dataset array containing variables for NIR and octane

This dataset contains all the spectra used in "Direct comparison of different protocols to obtain Surface enhanced Raman spectra of human serum ". Data are available in a compressed folder ("Dataset serum spectra") containing all the 75 TXT files (1 file=1 spectrum) of the same serum sample analyzed with the 5 protocols presented in the article. The script employed for loading, preprocessing, and analyzing the dataset is named "Script for spectra analysis." Furthermore, the DOCX file ("Instructions") provides details concerning the metadata embedded within the title of each TXT file.

Dataset consists of raw NIR and MIR spectra of whole hazelnuts (with skin). Data correspond to the values of 302 authentic and traceable hazelnut samples of Tonda di Giffoni cultivar and other cultivars, from various geographical origins and harvest years, obtained in the framework of the TRACENUTS, PID2020-117701RB-I00.

The potential of tannic acid (TA) as a graphene oxide (GO) dispersant in water has been investigated for the first time. Transmission electron microscopy (TEM) was used to visualize the degree of GO exfoliation in the dispersions. To further assess TA dispersant capability, a fluorescent biomolecule, riboflavin, has been selected. GO and TA cause a quenching effect on riboflavin fluorescence, which depends on the GO and TA concentration, the GO/TA weight ratio and the final centrifugation step that was found to be crucial. Multiple regression analysis has been used to determine the quenching constants for TA and GO simultaneously. The GO-riboflavin interaction weakens upon centrifugation. This step, traditionally used to remove the nanomaterial aggregates, should be avoided to obtain a high GO concentration in the dispersions. This study paves the way towards the use of environmentally friendly dispersant agents instead of conventional organic solvents or synthetic surfactants to attain high-quality dispersions of carbon nanomaterials in water.