Data/hora: 12/06/2024 16:58:22

Provedor de dados: 	21	
País: 	Germany	
Título: 	DEVELOPMENT OF PREDICTIVE MODELS FOR QUALITY CONTROL OF GALA APPLES DURING DRYING	
Autores: 	Mirko, Grilli; 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 apple wedges (Malus domestica B., var. Gala) during hot-air drying process (horizontal flow) up to 8 h. Hot-water and microwave blanching were both tested at 95°C for 5 min and 850 W for 45 sec, respectively, as pre-treatments to control the occurrence of enzymatic browning during drying. However, hot-water blanching had a negative impact on the appearance of the apple wedges, which were subjected to non-enzymatic discoloration (e.g. Maillard’s reaction).  PLS regression showed good performances for the prediction of aw (RMSE = 0.03-0.04; R2 = 0.97-0.98), moisture (RMSE = 0.04-0.05; R2 = 0.97-0.98), SSC (RMSE = 4.54-4.99 °Brix; R2 = 0.96-0.97) and changes in chroma (RMSE = 2.31-2.75; R2 = 0.81-0.86) during drying. Also PLSDA classification showed very good metrics (total accuracy &gt; 95%) in recognising 3-drying steps, both for control and microwave-treated 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/34386/1/Document_5.pdf

Mirko, Grilli; Riccardo, Massantini and Roberto, Moscetti   (2016) DEVELOPMENT OF PREDICTIVE MODELS FOR QUALITY CONTROL OF GALA APPLES DURING DRYING.    Masters thesis, University of Tuscia (Italy) , Department for Innovation in Biological, Agro-food and Forest systems.  .   [Unpublished]	
Relação: 	http://orgprints.org/34386/	
Formato: 	application/pdf	
Fonte: 	cc_by