2021
DOI: 10.1111/jfpp.15258
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Drying kinetics of basil seed mucilage in an infrared dryer: Application of GA‐ANN and ANFIS for the prediction of drying time and moisture ratio

Abstract: Basil (Ocimum basilicum L.) is the mucilaginous native plant and its seeds have a high amount of mucilage (gums) with outstanding useful characteristics that are comparable with marketable industrial gums. BSM is a gum extracted from this seeds using water extraction (Salehi, 2019; Zameni et al., 2015). Major properties of BSM as a new source of gum have been newly reported (Salehi, 2020a).

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Cited by 42 publications
(30 citation statements)
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“…Basil (Ocimum basilicum L.) is the mucilaginous native plant, and its seeds have a high amount of mucilage (gums) with outstanding useful properties that are comparable with marketable food gums (Amini et al, 2021). Basil seeds gum (BSG) is a mucilage extracted from basil seeds using cold water extraction (Zameni et al, 2015).…”
Section: Fakhreddin Salehi Maryam Satorabimentioning
confidence: 99%
See 1 more Smart Citation
“…Basil (Ocimum basilicum L.) is the mucilaginous native plant, and its seeds have a high amount of mucilage (gums) with outstanding useful properties that are comparable with marketable food gums (Amini et al, 2021). Basil seeds gum (BSG) is a mucilage extracted from basil seeds using cold water extraction (Zameni et al, 2015).…”
Section: Fakhreddin Salehi Maryam Satorabimentioning
confidence: 99%
“…Subsequently, the pure basil seeds were immersed in water for 20 min at a seed/water portion of 1:20 at 25 °C. The extracted mucilage was separated from the inflated seeds using an extractor (Bellanzo BFP-1540 Juicer, China) with a rotating disc that scratched the mucilage layer on the seed surface (Amini et al, 2021;Salehi and Satorabi, 2021). The initial MC of the BSG was 99.4% (wet basis).…”
Section: Gum Extractionmentioning
confidence: 99%
“…The performance of artificial neural networks (ANNs) and adaptive neuro-fuzzy inference system (ANFIS) as an analytical alternative to conventional modeling techniques was reported by some researchers (Amini et al, 2021;Bahramparvar et al, 2014;Zhang et al, 2014). Salehi (2020c) reported that these approaches are able to estimate drying kinetics of various fruits and vegetables with high precision.…”
Section: Introductionmentioning
confidence: 99%
“…The main strength of ANFIS models is that they are universal approximators with the ability to solicit interpretable If-Then rules. One approach to the derivation of the fuzzy rule base is to use the self-learning features of ANN, to define the membership functions (MFs) based on input-output data (Amini et al, 2021;Ramzi et al, 2015;Salehi, 2020c). Fuzzy clustering technique is the strategy used to identify the MF by organizing data samples into clusters so that the data samples within clusters have the most similarity to each other.…”
Section: Introductionmentioning
confidence: 99%
“…However, it involves high energy costs, high dryer temperature and long drying time. In order to solve this disadvantage, new drying technologies, have been assessed recently (Amini et al, 2021;Salehi, 2020cSalehi, , 2020bSatorabi et al, 2021). One of these recent developments is based on heat pump (HP) technology, which permits an adequate energy management of the process (Castell-Palou and Simal, 2011;Singh et al, 2020a).…”
Section: Introductionmentioning
confidence: 99%