Qualitative pattern recognition methods find important applications in the chemometric sector to extract structured information from complex experimental data. Two main strategies can be distinguished: unsupervised analysis, aimed at investigating on the presence of groupings within the samples analysed, and supervised analysis, aimed at...
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2021 (v1)PublicationUploaded on: April 14, 2023
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2022 (v1)Publication
Water activity is an important phenomenon not yet explained in terms of water molecular structure. This paper aims to find the relationship between the water activity and water molecular structure of the rice germ, based on its spectral pattern which can be measured using non-destructive technology. Aquaphotomics near-infrared spectroscopy was...
Uploaded on: April 14, 2023 -
2021 (v1)Publication
Cheese represents one of the most complex food matrices, for the high number of factors contributing to the chemical composition, and so its evaluation represents an important analytical challenge. The present study describes an innovative and non-destructive analytical approach, based on hyperspectral imaging in the near-infrared region...
Uploaded on: March 27, 2023 -
2023 (v1)Publication
In the present feasibility study, excitation-emission fluorescence spectroscopy has been investigated, as a rapid and accurate analytical method for the development of a tentative model for the early screening of prostate cancer directly through urine analysis in order to provide reliable results while improving patient compliance. Sixty-nine...
Uploaded on: November 25, 2023 -
2020 (v1)Publication
In the present study, a chemometric strategy was deployed for comparing the analytical performances of quartz cuvettes and disposable glass vials in the analysis of olive oil by near infrared spectroscopy (NIRS). Nowadays, laboratories that perform 'highly frequent' analysis on extra virgin olive oil (EVOO) by NIRS usually employ quartz...
Uploaded on: April 14, 2023