The extraction efficiency enhancement of polyphenols from Ulmus pumila L. barks by trienzyme-assisted extraction

Zhihao, Zhou; Shao, Hongjun; Han, Xiao; Kaijie, Wang; Gong, Cuiping; Yang, Xingbin

doi:10.1016/j.indcrop.2016.12.060

Cited by 46 publications

(37 citation statements)

References 45 publications

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“…Moreover, lack‐of‐fit were insignificant for the models fitted to all response variables (Table ), indicating the adequacy and goodness of the fitted model for prediction of response variables (Ghitescu et al, ). The coefficient of variance (CV), as a measure of the dispersion degree of data, was low enough for the model as fitted to each response variable, especially for TEY (3.48%) and TPC (4.5%), and supported the good fit of the mathematical model to estimate the response variables as stated in the literature (Zhou et al, ). In terms of uncoded factors, the second‐order polynomial Equation (), () and () created using the statistical software were used to describe the relationship between TEY, TPC, IC 50 and three extraction variables, including extraction time ( A ), extraction temperature ( B ), L/S ratio ( C ), respectively.

Total extraction yield = - 2.12 + 3.02 \times 10^{- 3} A - 0.02 B + 1.38 C - 3.85 \times 10^{- 5} A B + 2.08 \times 10^{- 4} A C + 2.17 \times 10^{- 3} B C - 6.10 \times 10^{- 6} A^{2} + 2.91 \times 10^{- 5} B^{2} - 0.03 C^{2}

…”

Section: Resultssupporting

confidence: 62%

“…Regarding R 2 of the fitted models ( for the models fitted to all response variables (Table 3), indicating the adequacy and goodness of the fitted model for prediction of response variables (Ghitescu et al, 2015). The coefficient of variance (CV), as a measure of the dispersion degree of data, was low enough for the model as fitted to each response variable, especially for TEY (3.48%) and TPC (4.5%), and supported the good fit of the mathematical model to estimate the response variables as stated in the literature (Zhou et al, 2017). In terms of uncoded factors, the second-order polynomial Equation (1), (2) and (3)…”

Section: Modeling Of the Heat-assisted Extraction Processsupporting

confidence: 70%

“…Moreover, the values of R 2 -adj and R 2 -pred had a difference less than 0.2, indicating the high correlation between the observed and predicted values. The CV for TEY (2.48%), TPC (2.02%), and IC 50 (5.80) was low, confirming the precision and reliable fit of the mathematical model to estimate the response variables (Zhou et al, 2017). In our study, RSM was applied to analyze the variations in response variables (TPC, TEY, and IC 50 ) against the independent variables, including sonication time (X 1 ), sonication power (X 2 ), and ethanol concentration (X 3 ), during the UAE process, as follows.…”

Section: Modeling Of the Uae Processmentioning

confidence: 74%

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Optimization of heat- and ultrasound-assisted extraction of polyphenols from dried rosemary leaves using response surface methodology

Hosseini

Bolourian

Hamgini

et al. 2018

J Food Process Preserv

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The conditions used in heat‐ and ultrasound‐assisted extraction (HAE and UAE, respectively) of polyphenols from rosemary leaves were optimized using response surface methodology. The optimum HAE conditions included an extraction time of 132.80 min, temperature of 70°C, and 20:1 liquid‐to‐solid ratio, resulting in the maximum total extraction yield (TEY, 17.80%) or total polyphenol content (TPC, 147.56 mg GAE/g of extract DW), and minimum IC50 (994.68 μg/ml); the maximum TEY (20.82%) or TPC (185.16 mg GAE/g of extract DW), and minimum IC50 (805.84 μg/ml) in the UAE process were obtained using optimum conditions, including time of 12.60 min, power of 200 W, and ethanol concentration of 56.26%. The lowest IC50 (787.70 μg/ml) was recorded using a solvent mixture of water and ethanol (56%) in the HAE procedure similar to the amount determined for the BHT antioxidant (714.79 μg/ml), thus confirming the efficiency of the extraction procedure. Practical applications The antioxidant properties of rosemary leaves are well characterized; hence, this plant’s extract is approved as the only accepted natural food antioxidant in the EU. Generally, the extraction of active compounds from rosemary leaves is performed by the HAE method. However, it is recommended to use sustainable technologies, such as UAE. The optimization of both conventional and UAE of polyphenols from rosemary leaves has not been studied in the literature. Therefore, the purpose of the present study was to introduce the optimal conditions of the HAE and UAE methods required to obtain maximum extraction efficiency of polyphenol compounds from rosemary leaves, and then was to compare possible procedures so that a comprehensive method to be developed.

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Total extraction yield = - 2.12 + 3.02 \times 10^{- 3} A - 0.02 B + 1.38 C - 3.85 \times 10^{- 5} A B + 2.08 \times 10^{- 4} A C + 2.17 \times 10^{- 3} B C - 6.10 \times 10^{- 6} A^{2} + 2.91 \times 10^{- 5} B^{2} - 0.03 C^{2}

…”

Section: Resultssupporting

confidence: 62%

Section: Modeling Of the Heat-assisted Extraction Processsupporting

confidence: 70%

Section: Modeling Of the Uae Processmentioning

confidence: 74%

See 1 more Smart Citation

Optimization of heat- and ultrasound-assisted extraction of polyphenols from dried rosemary leaves using response surface methodology

Hosseini

Bolourian

Hamgini

et al. 2018

J Food Process Preserv

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show abstract

“…The extrac- Heleno et al (2016) also indicated that ultrasound-assisted extraction during 15 min proved to be as efficient in yielding ergosterol as the Soxhlet extraction for 4 hr. Similar extraction tendency was also observed in other natural products such as polyphenolics, oils, and essential oils (Belwal, et al, 2018;Zhou, et al, 2017). The results obtained in the present study further confirmed that UAE possess the competitive advantages of saving time, energy, and amount of solvent than the conventional counterparts such as Soxhlet extraction.…”

Section: Verification Of the Predicted Model And Extraction Efficiencysupporting

confidence: 87%

Valorization of spent shiitake substrate for recovery of antitumor fungal sterols by ultrasound-assisted extraction

Wang

Cheng²,

Wang

et al. 2018

J Food Biochem

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The ongoing expansion of mushroom industries has generated enormous spent mushroom substrate with the potential for production of valuable chemicals. This study aimed to investigate ultrasound‐assisted extraction (UAE) of fungal sterols from spent shiitake (Lentinula edodes) substrate (SSS) by response surface methodology. The results showed that three variables, including ultrasonic power, extraction time, and liquid–solid ratio, had considerable influence on the extraction efficiency of total fungal sterols with liquid–solid ratio being highly significant for the process. The optimal UAE conditions included liquid–solid ratio 22 mL/g, ultrasonic power 432 W, and extraction time 16 min for the maximum recovery of fungal sterols (151.62 mg ergosterol equivalents/100 g dry weight) from SSS. Further GC‐MS analysis indicated that the extracts yielded under the optimal conditions contained ergosterol, ergosta‐7,22‐dienol, and β‐sitosterol, in which ergosterol was the most abundant mycosterol. The extracts also showed a comparable antitumor effect against three cancer cell lines. Practical applications Spent mushroom substrate, a major by‐product of mushroom industries, remains a big challenge for the profitability of mushroom industries. Our results indicated that spent shiitake substrate can be valorized by UAE for production of fungal sterols.

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“…Cellulase, hemicellulase and pectinase can degrade cell walls and intercellular substance. The principle of enzyme-assisted extraction is to select enzymes that can act on plant cells and damage the dense structure of the cell wall, causing local changes such as loosening, expansion and collapse of the cell wall and intercellular structure, facilitating the extraction of the target components [87][88][89][90][91][92]. Enzymatic extraction can not only improve the extraction rate of active ingredients but also shorten the extraction time.…”

Section: Extraction Of Plant Polyphenolmentioning

confidence: 99%

Extraction and Electrochemical Analysis of Polyphenols in Plant Samples

Zhou¹

2019

International Journal of Electrochemical Science

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Plant polyphenols are polyphenolic secondary metabolites that widely exists in plants and are mainly found in the skin, root, leaf and fruit. Plant polyphenols are natural antioxidants and are the most powerful free radical scavengers known. Therefore, the extraction and analysis of these polyphenols has attracted considerable attention. In this review, the extraction of plant polyphenols is discussed. Then, we focus on methods for the analysis and determination of plant polyphenols with a specific focus on analysis and detection methods based on electrochemical sensing.

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The extraction efficiency enhancement of polyphenols from Ulmus pumila L. barks by trienzyme-assisted extraction

Cited by 46 publications

References 45 publications

Optimization of heat- and ultrasound-assisted extraction of polyphenols from dried rosemary leaves using response surface methodology

Optimization of heat- and ultrasound-assisted extraction of polyphenols from dried rosemary leaves using response surface methodology

Valorization of spent shiitake substrate for recovery of antitumor fungal sterols by ultrasound-assisted extraction

Extraction and Electrochemical Analysis of Polyphenols in Plant Samples

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