Process optimization for extraction of bioactive compounds from taro (Colocasia esculenta), using RSM and ANFIS modeling

Kumar, Vivek; Sharma, Harish Kumar

doi:10.1007/s11694-016-9440-y

Cited by 35 publications

(37 citation statements)

References 37 publications

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“…The H-ORAC (Hydroxyl Radical Antioxidant Capacity), ABTS (2,2′-Azino-bis[3-ethylbenzothiazoline-6-sulfonic acid] diammonium salt), FRAP (ferric reducing antioxidant power), and DPPH (2,2′-diphenyl-1-picrylhydrazyl radical assay) methods have been applied to evaluate the TAC of taro extracts or taro-food derivatives. Flavonoids, tannins, saponins, alkaloids, carotenoids, phenols, vitamins, and fatty acids seem to contribute to overall taro antioxidant capacity ( Table 3 ) [ 13 , 52 , 53 , 69 , 70 , 71 , 72 , 73 , 74 , 75 , 76 , 77 , 78 , 79 , 80 , 81 , 82 , 83 ].…”

Section: Bioactive Compounds and Pharmacological Properties Of Tarmentioning

confidence: 99%

“…Few studies go beyond TAC determination and phytochemical group characterization to identify specific compounds within the aforementioned class, and at what concentrations, in taro [ 69 , 70 , 74 , 76 , 78 , 80 ]. The taro matrix presents a complex set of antioxidants and, although they have been identified and measured, it is hard to forecast which role a single compound will play on the human body.…”

Section: Bioactive Compounds and Pharmacological Properties Of Tarmentioning

confidence: 99%

“…Chlorogenic acid, catechin, epicatechin, epigallocatechin, pro-anthocyanidins, and gallic acid have been identified in taro by thin-layer chromatography (TLC) and high-performance liquid chromatography (HPLC) [ 69 ]. Polyphenols represented by 1-O-feruloyl-D-glucoside; 3, 5-DiCQ acid; vitexin; isovitexin; cyanidin-3-glucoside; luteolin-7-O-ruti-noside; vicenin-2; caffeic acid; cyanidin-3-rhamnoside; chlorogenic acid; quercetin and hyperoside were identified by LC-MS (liquid chromatography-mass spectrometry) [ 76 ].…”

Section: Bioactive Compounds and Pharmacological Properties Of Tarmentioning

confidence: 99%

See 2 more Smart Citations

Anticancer and Immunomodulatory Benefits of Taro (Colocasia esculenta) Corms, an Underexploited Tuber Crop

Pereira

Mattos

Corrêa

et al. 2020

IJMS

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Taro corms contain valuable bioactive molecules effective against cancer and cancer-related risk factors, such as carcinogens and biological agents, several pathophysiological conditions, including oxidative stress and inflammation, while controlling metabolic dysfunctions and boosting the immunological response. Such broad effects are achieved by the taro health-influencing compounds displaying antitumoral, antimutagenic, immunomodulatory, anti-inflammatory, antioxidant, anti-hyperglycemic, and anti-hyperlipidemic activities. Taro bioactivities are attributed to the combination of tarin, taro-4-I polysaccharide, taro polysaccharides 1 and 2 (TPS-1 and TPS-2), A-1/B-2 α-amylase inhibitors, monogalactosyldiacylglycerols (MGDGs), digalactosyldiacylglycerols (DGDGs), polyphenols, and nonphenolic antioxidants. Most of these compounds have been purified and successfully challenged in vitro and in vivo, proving their involvement in the aforementioned activities. Although these health-promoting effects have been recognized since ancient times, as well as other valuable features of taro for food profit, such as hypo-allergenicity, gluten-free, and carbohydrates with medium-glycemic index, taro crop remains underexploited. The popularization of taro intake should be considered a dietary intervention strategy to be applied to improve the overall health status of the organism and as supportive therapy to manage tumorigenesis.

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Section: Bioactive Compounds and Pharmacological Properties Of Tarmentioning

confidence: 99%

Section: Bioactive Compounds and Pharmacological Properties Of Tarmentioning

confidence: 99%

Section: Bioactive Compounds and Pharmacological Properties Of Tarmentioning

confidence: 99%

See 1 more Smart Citation

Anticancer and Immunomodulatory Benefits of Taro (Colocasia esculenta) Corms, an Underexploited Tuber Crop

Pereira

Mattos

Corrêa

et al. 2020

IJMS

View full text Add to dashboard Cite

show abstract

“…However, black-box modelling techniques such as soft-computing models namely, artificial neural network (ANN), adaptive neuro-fuzzy inference system (ANFIS), genetic algorithm (GA), support vector machine (SVM) and response surface methodology (RSM), map input variables with process responses without the prior knowledge of the process physics. Previous researchers analysed and predicted phenolic extract production from various plant materials through ANFIS modelling technique ( Tao et al., 2017 ; Kumar and Sharma, 2017 ; Baskararaj et al., 2019 ; Kunjiappan et al., 2020 ). Fuzzy inference system and neural network are integrated as robust ANFIS modelling technique that is capable of analysing complex and vague chemical process system.…”

Section: Introductionmentioning

confidence: 99%

Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia root

Oke

Okolo

Adeyi

et al. 2021

Heliyon

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Nauclea latifolia root (NLR) extract is one of phytochemicals used to treat various ailments in most of developing countries. This investigation focuses on modelling, optimization and computer-aided simulation of phenolic solidliquid extraction from NLR. The extraction experiments were conducted at extraction temperature (ET: 33.79-76.21 C), process time (PT: 2.79-4.21 h) and solid-liquid ratio (SLC: 0.007929-0.018355 g/ml). Regression models (RM) were developed, using Response Surface Methodology (RSM) in Design Expert software, for predicting and optimizing total phenolic content (TPC) and total flavonoid content (TFC) and also compared with adaptive neuro-fuzzy inference system (ANFIS) modelling in Matlab environment. Aspen Batch Process Developer (ABPD) V10 was used to simulate phenolic extract production and perform material balance of the process. Both Coefficients of determination (R 2 ) of RSM (TFC: 0.9996, TPC: 0.9932) and ANFIS models (TFC: 0.99998, TPC: 0.9982) were compared and predicted satisfactorily. Optimization results show: ET (2.79 h), PT (38.8 C), SLC (0.0198 g/ml), TFC (25.92 25.92 μg RE/g) and TPC (8.47 mg GAE/g). The phenolic extraction base case simulation results gave batch throughput, annual throughput, number of batches per year 0.0089 g/batch, 0.139 g/year and 1019 batches, respectively. The ABPD predicted TPC and experimental TPC results were compared and gave mean relative deviation error of 3.75%. Thus, ABPD simulation model is reasonably reliable for the scale-up design engineering of the phenolic extract production from NLR.

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“…Response surface methodology (RSM), first introduced by Box [2], is an effective statistical method which can optimize complex processes. There are several recent studies that have used RSM to identify optimized conditions for the extraction of bioactive compounds from different sources [3][4][5][6]. The main advantage of RSM is the reduced number of experimental trials needed to evaluate multiple parameters and their interactions, which makes it less labor-intensive and time-consuming than other approaches [7].…”

Section: Introductionmentioning

confidence: 99%

Preparation of Oligosaccharides by Degradation of Polysaccharides from Chinese Jujube and Its Biological Activity

Wang

Liu

et al. 2018

International Journal of Polymer Science

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This study examined the degradation of polysaccharides to oligosaccharides in Chinese jujube fruits. Using a response surface model, the degradation conditions of polysaccharides under acid hydrolysis and enzymatic hydrolysis were optimized in laboratory conditions. A degradation rate of 66.9% was obtained under optimum acid hydrolysis conditions: 0.6 mol/L hydrochloric acid, 3% substrate concentration, and 1 h reaction time. A degradation rate of 41.4% was obtained under optimum enzyme hydrolysis conditions: 4.0 mL cellulose solution (10 mg/mL), 0.3 mL substrate solution (20 mg/mL), 0.7 mL citric acid buffer solution (pH 5), and 7.3 h reaction time. Using the stimulation effect for strain J-4 intestinal probiotic proliferation, the biological activity of oligosaccharides was determined. The results showed that the oligosaccharides from enzyme hydrolysis encouraged intestinal probiotic proliferation.

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Process optimization for extraction of bioactive compounds from taro (Colocasia esculenta), using RSM and ANFIS modeling

Cited by 35 publications

References 37 publications

Anticancer and Immunomodulatory Benefits of Taro (Colocasia esculenta) Corms, an Underexploited Tuber Crop

Anticancer and Immunomodulatory Benefits of Taro (Colocasia esculenta) Corms, an Underexploited Tuber Crop

Black-box modelling, bi-objective optimization and ASPEN batch simulation of phenolic compound extraction from Nauclea latifolia root

Preparation of Oligosaccharides by Degradation of Polysaccharides from Chinese Jujube and Its Biological Activity

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