Chemometric Strategies for Spectroscopy-Based Food Authentication
| Autor: | Federico Marini, Raffaele Vitale, Alessandra Biancolillo, Cyril Ruckebusch |
|---|---|
| Jazyk: | angličtina |
| Rok vydání: | 2020 |
| Předmět: |
spectroscopy
Computer science media_common.quotation_subject Context (language use) 02 engineering and technology lcsh:Technology 01 natural sciences lcsh:Chemistry Chemometrics Analysis of multivariate designed data Calibration Classification Curve resolution Data exploration Data fusion Food authentication Spectroscopy General Materials Science Quality (business) analysis of multivariate designed data lcsh:QH301-705.5 Instrumentation Spectroscopy instrumentation media_common Fluid Flow and Transfer Processes data fusion lcsh:T Process Chemistry and Technology 010401 analytical chemistry SIGNAL (programming language) General Engineering food authentication 021001 nanoscience & nanotechnology Sensor fusion chemometrics calibration Data science lcsh:QC1-999 Authentication (law) 0104 chemical sciences Computer Science Applications lcsh:Biology (General) lcsh:QD1-999 classification lcsh:TA1-2040 data exploration curve resolution lcsh:Engineering (General). Civil engineering (General) 0210 nano-technology lcsh:Physics |
| Zdroj: | Applied Sciences, Vol 10, Iss 6544, p 6544 (2020) |
| Popis: | In the last decades, spectroscopic techniques have played an increasingly crucial role in analytical chemistry, due to the numerous advantages they offer. Several of these techniques (e.g., Near-InfraRed—NIR—or Fourier Transform InfraRed—FT-IR—spectroscopy) are considered particularly valuable because, by means of suitable equipment, they enable a fast and non-destructive sample characterization. This aspect, together with the possibility of easily developing devices for on- and in-line applications, has recently favored the diffusion of such approaches especially in the context of foodstuff quality control. Nevertheless, the complex nature of the signal yielded by spectroscopy instrumentation (regardless of the spectral range investigated) inevitably calls for the use of multivariate chemometric strategies for its accurate assessment and interpretation. This review aims at providing a comprehensive overview of some of the chemometric tools most commonly exploited for spectroscopy-based foodstuff analysis and authentication. More in detail, three different scenarios will be surveyed here: data exploration, calibration and classification. The main methodologies suited to addressing each one of these different tasks will be outlined and examples illustrating their use will be provided alongside their description. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
|