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      Multi-Optimization of Ultrasonic-Assisted Enzymatic Extraction of Atratylodes macrocephala Polysaccharides and Antioxidants Using Response Surface Methodology and Desirability Function Approach

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          Abstract

          Rhizoma Atractylodes macrocephala polysaccharides (RAMP) have been reported to have a variety of important biological activities. In this study, an ultrasonic-assisted enzymatic extraction (UAEE) was employed to obtain the highest extraction yield and strongest antioxidant activity of RAMP and optimized by a multi-response optimization process. A three-level four-factor Box-Behnken design (BBD) was performed as response surface methodology (RSM) with desirability function (DF) to attain the optimal extraction parameters. The DPPH scavenging percentage was used to represent the antioxidant ability of RAMP. The maximum D value (0.328), along with the maximum yield (59.92%) and DPPH scavenging percentage (13.28%) were achieved at 90.54 min, 57.99 °C, 1.95% cellulase and 225.29 W. These values were further validated and found to be in good agreement with the predicted values. Compared to the other extraction methods, both the yield and scavenging percentage of RAMP obtained by UAEE was favorable and the method appeared to be time-saving and of high efficiency. These results demostrated that UAEE is an appropriate and effective extraction technique. Moreover, RSM with DF approach has been proved to be adequate for the design and optimization of the extraction parameters for RAMP. This work has a wide range of implications for the design and operation of polysaccharide extraction processes.

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          Most cited references37

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          Experimental design and multiple response optimization. Using the desirability function in analytical methods development.

          A review about the application of response surface methodology (RSM) when several responses have to be simultaneously optimized in the field of analytical methods development is presented. Several critical issues like response transformation, multiple response optimization and modeling with least squares and artificial neural networks are discussed. Most recent analytical applications are presented in the context of analytLaboratorio de Control de Calidad de Medicamentos (LCCM), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, C.C. 242, S3000ZAA Santa Fe, ArgentinaLaboratorio de Control de Calidad de Medicamentos (LCCM), Facultad de Bioquímica y Ciencias Biológicas, Universidad Nacional del Litoral, C.C. 242, S3000ZAA Santa Fe, Argentinaical methods development, especially in multiple response optimization procedures using the desirability function.
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            Seaweed Hydrocolloid Production: An Update on Enzyme Assisted Extraction and Modification Technologies

            Agar, alginate, and carrageenans are high-value seaweed hydrocolloids, which are used as gelation and thickening agents in different food, pharmaceutical, and biotechnological applications. The annual global production of these hydrocolloids has recently reached 100,000 tons with a gross market value just above US$ 1.1 billion. The techno-functional properties of the seaweed polysaccharides depend strictly on their unique structural make-up, notably degree and position of sulfation and presence of anhydro-bridges. Classical extraction techniques include hot alkali treatments, but recent research has shown promising results with enzymes. Current methods mainly involve use of commercially available enzyme mixtures developed for terrestrial plant material processing. Application of seaweed polysaccharide targeted enzymes allows for selective extraction at mild conditions as well as tailor-made modifications of the hydrocolloids to obtain specific functionalities. This review provides an update of the detailed structural features of κ-, ι-, λ-carrageenans, agars, and alginate, and a thorough discussion of enzyme assisted extraction and processing techniques for these hydrocolloids.
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              Optimization of ultrasound-assisted extraction of anthocyanins in red raspberries and identification of anthocyanins in extract using high-performance liquid chromatography-mass spectrometry.

              Anthocyanins (Acys) are naturally occurring compounds that impart color to fruit, vegetables and plants. The extraction of Acys from red raspberry (Rubus idaeus L. var. Heritage) by ultrasound-assisted process (UAP) was studied. A central composite rotate design (CCRD) was used to obtain the optimal conditions of ultrasound-assisted extraction (UAE), and the effects of operating conditions, such as the ratio of solvents to materials, ultrasonic power and extraction time, on the extraction yield of Acys were studied through response surface methodology (RSM). The optimized conditions of UAE were as follows: ratio of solvents to materials was 4:1 (ml/g), extraction time was 200s, and ultrasonic power was 400 W. Under these conditions 34.5 mg of Acys from 100g of fresh fruits (T(Acy), expressed as cyanidin-3-glucoside), approximately 78.13% of the total red pigments, could be obtained by UAE. The Acys compositions of extracts were identified by high-performance liquid chromatography-mass spectrometry (HPLC-MS), 12 kinds of Acys had been detected and eight kinds of Acys were characterized. Result indicated that cyanidin-3-sophoroside, cyanidin-3-(2(G)-glucosylrutinoside), cyanidin-3-sambubioside, cyanidin-3-rutinoside, cyanidin-3-xylosylrutinoside, cyanidin-3-(2(G)-glucosylrutinoside), and cyanidin-3-rutinoside were main components in extracts. In addition, in comparison with the conventional solvent extraction, UAE is more efficient and rapid to extract Acys from red raspberry, due to the strong disruption of fruit tissue structure under ultrasonic acoustic cavitation, which had been observed with the scanning electron microscopy (SEM). However, the Acys compositions in extracts by both methods were similar, which were investigated using HPLC profile.
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                Author and article information

                Contributors
                Role: Academic Editor
                Journal
                Molecules
                Molecules
                molecules
                Molecules
                MDPI
                1420-3049
                11 December 2015
                December 2015
                : 20
                : 12
                : 22220-22235
                Affiliations
                [1 ]Development and Research Center of Official Silkworm Resources, Zhejiang Academy of Traditional Chinese Medicine, Hangzhou 310007, China; pjb0225@ 123456163.com (J.-B.P.); huyijuan604@ 123456163.com (Y.-J.H.); jian871211@ 123456sina.com (H.-J.Z.); Kenzei@ 123456163.com (J.Z.); jxlwq22@ 123456163.com (W.-Q.L.)
                [2 ]Key Laboratory of Research and Development of Chinese Medicine of Zhejiang Province, Hangzhou 310007, China
                [3 ]College of Pharmacy, Hunan Chinese Medical University, Changsha 410208, China; xiabohou@ 123456163.com
                [4 ]College of Life Science, Zhejiang Chinese Medical University, Hangzhou 310015, China; cj00123@ 123456zcmu.edu.cn
                Author notes
                [* ]Correspondence: xpan840520@ 123456163.com ; Tel.: +86-571-8884-9079 (ext. 123); Fax: +86-571-8884-5196
                [†]

                These authors contributed equally to this work.

                Article
                molecules-20-19837
                10.3390/molecules201219837
                6332337
                26690404
                e5791650-23ff-4224-93eb-2eeebccbb9e3
                © 2015 by the authors.

                Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons by Attribution (CC-BY) license ( http://creativecommons.org/licenses/by/4.0/).

                History
                : 14 October 2015
                : 04 December 2015
                Categories
                Article

                rhizoma atractylodes macrocephala polysaccharides,ultrasonic-assisted enzymatic extraction,response surface methodology,desirability function approach,antioxidant activity,multi-optimization

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