Data/hora: 13/06/2024 01:12:14

Provedor de dados: | 21
País: | Germany
Título: | DEVELOPMENT OF PREDICTIVE MODELS FOR QUALITY CONTROL OF CARROTS DURING DRYING
Autores: | Chiara, Di Pietro; Riccardo, Massantini; Roberto, Moscetti.
Data: | 2016-10
Ano: | 2016
Palavras-chave: | "Organics" in general; Food systems.
Resumo: | This thesis research project is aimed at setting up prediction models based on NIR spectroscopy, for quality control of organic carrot discs (Daucus carota L., var. Romance) during hot-air drying process (horizontal flow) up to 8 h. Hot-water blanching was tested at 95°C for 1.5 min, as pre-treatment to control the occurrence of enzymatic browning during drying. Hot-water blanching had a positive impact on the appearance of the carrot discs.  PLS regression showed good performances for the prediction of aw (RMSE = 0.04; R2 = 0.96), moisture (RMSE = 0.04; R2 = 0.98), SSC (RMSE = 4.32-4.40 °Brix; R2 =0.88), carotenoids (RMSE = 21.75-23.10; R2 = 0.96) and changes in color (RMSE = 1.40-1.46; R2 = 0.85-0.86) during drying. Also PLSDA classification showed very good metrics (total accuracy 92.38%) in recognising 3-drying steps, both for control and hot-water blanched samples. Features selection by iPLS and iPLSDA algorithms showed results better/equal than models based on full spectrum. For these results, the implementation of low-cost NIR sensors on drier device, seems feasible.
Tipo: | Thesis
Idioma: | Inglês

Identificador:

http://orgprints.org/34384/1/Document_4.pdf

Chiara, Di Pietro; Riccardo, Massantini and Roberto, Moscetti   (2016) DEVELOPMENT OF PREDICTIVE MODELS FOR QUALITY CONTROL OF CARROTS DURING DRYING.    Masters thesis, University of Tuscia (Italy) , Department for Innovation in Biological, Agro-food and Forest systems.  .   [Unpublished]

Relação: | http://orgprints.org/34384/
Formato: | application/pdf
Fonte: | cc_by