Optimizing the extract yield of bioactive compounds in Valeriana officinalis root: a D-optimal design.

IF 2 4区 生物学 Q3 BIOCHEMICAL RESEARCH METHODS Preparative Biochemistry & Biotechnology Pub Date : 2024-07-01 Epub Date: 2024-03-03 DOI:10.1080/10826068.2023.2297709
Arash Mokhtari, Mansoor Omidi, Morteza Ebrahimi, Houshang Alizadeh, Ahmad Sobhani, Pejman Azadi, Nafiseh Noormohammadi, Mozhdeh Shafaie
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Abstract

It is estimated that 80% of all synthetic drugs are derived from medicinal plants, and nowadays, many synthetic drugs are derived from medicinal plants. Valeriana officinalis can treat many diseases of the nervous system. A crucial aspect of valerian extract is that it inhibits the proliferation of breast cancer cells. To optimize the yield of bioactive compounds in the V. officinalis root extraction, a response surface methodology-based D-optimal design was used. To fulfill this aim, the effects of various factors such as solvent type and concentration, mixing temperature, ultrasound time, and drying method were examined. The optimal conditions for solvent percentages, mixing temperature, ultrasound time, solvent type, and drying methods were determined to be 94.88%, 25 °C, 48.95 min, methanol, and microwave, respectively, with a desirability of 0.921. The predicted valerenic acid, total phenols, total flavonoids, and antioxidant activity in V. officinalis extract were 1.19 (mg/g DW), 8.22 (mg/g DW), 5.27 (mg/g DW), and 92.64%, respectively. In optimal conditions, the extracted amounts of valerenic acid, total phenols, total flavonoids, and antioxidant activity were 2.07 mg/g DW, 7.96 mg/g DW, 5.52 mg/g DW, and 78.68%, respectively, which were consistent with the model predicted amounts (based on 95% prediction interval). This study could be useful as a model for demonstrating the efficacy of microwave drying to maximize the biochemical content of V. officinalis, as well as the antioxidant activity of the root extracts of V. officinalis on industrial scale.

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优化缬草根中生物活性化合物的提取率:D-优化设计。
据估计,80% 的合成药物都是从药用植物中提取的,如今,许多合成药物都是从药用植物中提取的。缬草可以治疗许多神经系统疾病。缬草提取物的一个重要方面是它能抑制乳腺癌细胞的增殖。为了优化缬草根提取物中生物活性化合物的产量,采用了基于响应面方法学的 D-优化设计。为实现这一目标,研究了溶剂类型和浓度、混合温度、超声时间和干燥方法等各种因素的影响。确定溶剂百分比、混合温度、超声时间、溶剂类型和干燥方法的最佳条件分别为 94.88%、25 °C、48.95 分钟、甲醇和微波,可取性为 0.921。缬草烯酸、总酚、总黄酮和抗氧化活性的预测值分别为 1.19(mg/g DW)、8.22(mg/g DW)、5.27(mg/g DW)和 92.64%。在最佳条件下,缬草烯酸、总酚、总黄酮和抗氧化活性的提取量分别为 2.07 mg/g DW、7.96 mg/g DW、5.52 mg/g DW 和 78.68%,与模型预测量一致(基于 95% 预测区间)。这项研究可以作为一个模型,用于证明微波干燥在工业规模上最大限度地提高V. officinalis生化含量以及V. officinalis根提取物抗氧化活性的有效性。
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来源期刊
Preparative Biochemistry & Biotechnology
Preparative Biochemistry & Biotechnology 工程技术-生化研究方法
CiteScore
4.90
自引率
3.40%
发文量
98
审稿时长
2 months
期刊介绍: Preparative Biochemistry & Biotechnology is an international forum for rapid dissemination of high quality research results dealing with all aspects of preparative techniques in biochemistry, biotechnology and other life science disciplines.
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