Response Surface Methodology (RSM) Optimization on Extraction and Antioxidant Activity Evaluation of Peptide From Enzymatic Hydrolysates of Housefly ( Musca domestica ) Larvae

化学 抗氧化剂 响应面法 DPPH 酶水解 水解物 水解 傅里叶变换红外光谱 色谱法 萃取(化学) Zeta电位 蛋白酶 家蝇 羟基自由基 生物化学 氨基酸 红外光谱学 粒径 中心组合设计
作者
Jingnan Miao,Chenglu Yu,Xianhe Cheng,Shumin Liu,Jiazhou Qiu
出处
期刊:Food Science and Nutrition [Wiley]
卷期号:13 (10): e71058-e71058 被引量:2
标识
DOI:10.1002/fsn3.71058
摘要

Response surface methodology (RSM) was applied to determine the optimal enzymatic hydrolysis conditions for obtaining antioxidant peptides from Musca domestica (MDPs). The results indicated that neutral protease was the most effective enzyme for producing MDPs. Under the optimized conditions (time: 3.2 h, temperature: 43.0°C, enzyme dosage: 5300.0 U/g, pH: 6.4), the DPPH radical scavenging rate of MDPs reached 70.9% ± 0.2%. The model demonstrated high reliability, as evidenced by the close agreement between experimental and predicted values, with R 2 adjusted and R 2 predicted both exceeding 0.9036. Subsequently, the particle size, zeta potentials, and structural features of MDPs were characterized using ultraviolet-visible (UV) spectroscopy, Fourier transform infrared spectroscopy (FT-IR), X-ray diffraction (XRD), and scanning electron microscopy (SEM). The analyses revealed statistically significant differences in the physicochemical properties among MDPs, MDPs> 10 kDa, and MDPs< 10 kDa. Furthermore, both MDPs> 10 kDa and MDPs< 10 kDa were rich in amino acids associated with antioxidant activity. Compared to MDPs> 10 kDa, the MDPs< 10 kDa exhibited superior antioxidant activities, including DPPH radical scavenging, hydroxyl radical scavenging, and reducing power. This study highlights the potential of M. domestica-derived peptides as natural antioxidants, supporting their future application in supplements, functional foods, and pharmaceuticals, and promoting the sustainable utilization of this resource.
最长约 10秒,即可获得该文献文件

科研通智能强力驱动
Strongly Powered by AbleSci AI
科研通是完全免费的文献互助平台,具备全网最快的应助速度,最高的求助完成率。 对每一个文献求助,科研通都将尽心尽力,给求助人一个满意的交代。
实时播报
刚刚
酷波er应助科研通管家采纳,获得10
刚刚
1秒前
StevenCai完成签到,获得积分10
1秒前
wang发布了新的文献求助10
3秒前
3秒前
3秒前
万能图书馆应助Yiyi采纳,获得10
4秒前
风中钥匙发布了新的文献求助10
4秒前
梅荣庆完成签到,获得积分10
4秒前
6秒前
7秒前
KobeLaoda发布了新的文献求助10
8秒前
9秒前
banfen完成签到,获得积分10
12秒前
lily完成签到 ,获得积分10
13秒前
努力发布了新的文献求助10
13秒前
小邢完成签到,获得积分10
13秒前
幽森之魅完成签到,获得积分10
13秒前
13秒前
14秒前
DizzyDwarf发布了新的文献求助20
15秒前
LILY完成签到,获得积分10
15秒前
ctttt发布了新的文献求助10
16秒前
17秒前
zt发布了新的文献求助10
18秒前
君君完成签到,获得积分10
20秒前
21秒前
Yiyi发布了新的文献求助10
21秒前
吴香琳完成签到,获得积分10
21秒前
pick完成签到,获得积分10
22秒前
顾矜应助小鲤鱼吃大菠萝采纳,获得10
22秒前
22秒前
浪浪山养鹅大王完成签到,获得积分10
23秒前
白猫潜逃发布了新的文献求助10
24秒前
风中钥匙完成签到,获得积分10
25秒前
害羞沅完成签到,获得积分20
26秒前
领导范儿应助考拉采纳,获得30
26秒前
26秒前
科研通AI6.3应助罗曼蒂克采纳,获得10
27秒前
高分求助中
Principles of Economics, 11th Edition 10000
University Physics with Modern Physics, 16th edition 10000
(应助此贴封号)【重要!!请各用户(尤其是新用户)详细阅读】【科研通的精品贴汇总】 10000
48V Low-voltage Power Distribution Network (PDN) Architecture Industry Report, 2024 800
ズームレンズの光学設計に関する研究 800
Fundamentals of Pharmaceutical and Biologics Regulations: A Global Perspective, Second Edition 700
Matrix Methods in Data Mining and Pattern Recognition Second Edition 610
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 工程类 有机化学 化学工程 生物化学 计算机科学 内科学 物理 复合材料 催化作用 细胞生物学 无机化学 光电子学 物理化学 电极 基因
热门帖子
关注 科研通微信公众号,转发送积分 7295303
求助须知:如何正确求助?哪些是违规求助? 8913759
关于积分的说明 18873715
捐赠科研通 6961564
什么是DOI,文献DOI怎么找? 3210209
关于科研通互助平台的介绍 2379497
邀请新用户注册赠送积分活动 2186486