Ultrasound assisted extraction of bioactive compounds from Nephelium lappaceum L. fruit peel using central composite face centered response surface design

Maran, J. Prakash; Manikandan, S.; Chinnappa, Nivetha; Dinesh, R.

doi:10.1016/j.arabjc.2013.02.007

Cited by 210 publications

(89 citation statements)

References 37 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…The quadratic model of percentage of lignin reduction had a predicted and adjusted R 2 values of 0.99 and 0.98, respectively. The predicted R 2 value was in agreement with the adjusted R 2 value, since the difference between two values was less than 0.02, indicating that the model developed will be able to give a reasonably good estimate of the response of the system [20]. …”

Section: Resultsmentioning

confidence: 79%

“…The coefficient of variance (CV) specifies the degree of precision for the treatments and expressed as percentage (%). The low values of CV% clearly indicated a very high degree of precision and a good reliability of the experimental values [20]. Percentage of lignin reduction resulted in a lower CV value of 1.92%, which showed that the model has high experimental reliability due to closeness of experimental and predicted values [24].…”

Section: Resultsmentioning

confidence: 99%

See 1 more Smart Citation

Delignification of corncob via combined hydrodynamic cavitation and enzymatic pretreatment: process optimization by response surface methodology

Thangavelu

Desikan

Taran

et al. 2018

Biotechnol Biofuels

View full text Add to dashboard Cite

BackgroundRenewable liquid biofuel production will reduce crude oil import of India. To displace the huge quantity of fossil fuels used for energy production, this research was focused on utilization of unexploited low-cost agricultural residues for biofuel production. Corncobs are a byproduct of corn processing industry, and till now it is not utilized for biofuel production, eventhough it has high lignocellulosic concent. In this study, combined hydrodynamic cavitation and enzymatic (HCE) method was evaluated as a pretreatment method of corncob for biofuel production. The most significant process parameters namely (i) enzyme loading (3–10 U g−1), (ii) biomass loading (2.5–5.0%), and (iii) duration (5–60 min) were optimized and their effects on combined HCE pretreatment of corncob was studied through response surface methodology for lignin reduction, hemicellulose reduction and cellulose increase.ResultsThe highest lignin reduction (47.4%) was obtained in orifice plate 1 (OP1) under the optimized conditions namely biomass loading at 5%, enzyme loading at 6.5 U g−1 of biomass, and reaction duration of 60 min. The above tested independent variables had a significant effect on lignin reduction. The cavitational yield and energy consumption under the above-mentioned optimized conditions for OP1 was 3.56 × 10−5 g J−1 and 1.35 MJ kg−1, respectively.ConclusionsIt is evident from the study that HCE is an effective technology and requires less energy (1.35 MJ kg−1) than other biomass pretreatment methods.Electronic supplementary materialThe online version of this article (10.1186/s13068-018-1204-y) contains supplementary material, which is available to authorized users.

show abstract

Section: Resultsmentioning

confidence: 79%

Section: Resultsmentioning

confidence: 99%

Delignification of corncob via combined hydrodynamic cavitation and enzymatic pretreatment: process optimization by response surface methodology

Thangavelu

Desikan

Taran

et al. 2018

Biotechnol Biofuels

View full text Add to dashboard Cite

show abstract

“…The accuracy of developed model was analyzed statistically. Different statistical parameters such as determination coefficient (R 2 ), adjusted determination co-efficient ( 2 a R ), predicted determination co-efficient ( 2 p R ), co-efficient of variance (CV %), predicted error of sum of square (PRESS) and adequate precision were employed in this study to analyze the adequacy of the developed model [9]. All the statistical analysis was carried out with the help of Stat ease Design Expert 8.0.7.1 statistical software package (Stat-Ease Inc., Minneapolis, USA).…”

Section: Experimental Design and Statistical Analysismentioning

confidence: 99%

Ultrasound assisted extraction of pectin from waste Artocarpus heterophyllus fruit peel

Moorthy¹,

Maran²,

Ilakya³

et al. 2017

Ultrasonics Sonochemistry

166

View full text Add to dashboard Cite

Four factors three level face centered central composite response surface design was employed in this study to investigate and optimize the effect of process variables (liquid-solid (LS) ratio (10:1-20:1ml/g), pH (1-2), sonication time (15-30min) and extraction temperature (50-70°C)) on the maximum extraction yield of pectin from waste Artocarpus heterophyllus (Jackfruit) peel by ultrasound assisted extraction method. Numerical optimization method was adapted in this study and the following optimal condition was obtained as follows: Liquid-solid ratio of 15:1ml/g, pH of 1.6, sonication time of 24min and temperature of 60°C. The optimal condition was validated through experiments and the observed value was interrelated with predicted value.

show abstract

“…The values of R 2 , adj‐R 2 and pre‐R 2 for astaxanthin efficiency were 0.996, 0.988 and 0.967, respectively, which exhibited a close agreement between the experimental and the theoretical values predicted by polynomial model (Prakash Maran et al . ). It indicated that the proposed regression model had adequately represented the real relationship among the parameters chosen.…”

Section: Resultsmentioning

confidence: 97%

Magnetic-Field-Assisted Extraction of Astaxanthin from H aematococcus pluvialis

Zhao

Liu

et al. 2015

Journal of Food Processing and Preservation

View full text Add to dashboard Cite

Magnetic-field-assisted extraction (MFAE) technique was employed to extract astaxanthin from Haematococcus pluvialis. The process for extraction of astaxanthin was optimized using response surface methodology, employing a three-level, three-variable Box-Behnken experimental design. The results showed that the optimum extraction conditions were as follows: liquid-solid ratio 77:1 (v/w), magnetic intensity 18 mT and extraction 50 min. Under the above mentioned conditions, the astaxanthin yield was 62. 72%. The experimental yield under optimal conditions was in good matching with the predictive yield. Magnetic intensity increased the efficiency of enzymatic treatment with higher extraction yield, which indicated that MFAE is a more efficient process as compared to other extractions. PRACTICAL APPLICATIONSMagnetic field extraction was applied as a novel separation technique, which had many advantages on the extraction of astaxanthin compared to the traditional extraction method, such as good stability. The knowledge provided by this work may promote the application of magnetic field extraction method in the food industry. In addition, the development results in creating environmentally friendly processes.

show abstract

Ultrasound assisted extraction of bioactive compounds from Nephelium lappaceum L. fruit peel using central composite face centered response surface design

Cited by 210 publications

References 37 publications

Delignification of corncob via combined hydrodynamic cavitation and enzymatic pretreatment: process optimization by response surface methodology

Delignification of corncob via combined hydrodynamic cavitation and enzymatic pretreatment: process optimization by response surface methodology

Ultrasound assisted extraction of pectin from waste Artocarpus heterophyllus fruit peel

Magnetic-Field-Assisted Extraction of Astaxanthin from H aematococcus pluvialis

Contact Info

Product

Resources

About