Optimization of Ultrasound-Assisted Protein Extraction from Khai-Nam (Wofflia globosa) Using Response Surface Methodology

萃取(化学) 超声波 响应面法 曲面(拓扑) 计算机科学 色谱法 化学 数学 声学 物理 机器学习 几何学
作者
Suphat Phongthai,Jakkrawut Maitip,Woranika Promsart,Wararak Junla,Sunisa Ungwiwatkul
出处
期刊: [Chiang Mai University]
卷期号:24 (2) 被引量:1
标识
DOI:10.12982/nlsc.2025.021
摘要

Khai-Nam (Wolffia globosa), a water meal or duckweed, is an aquatic angiosperm commonly dwell in Thailand and neighboring ASEAN countries. With its potential to provide up to 40% (w/w) of protein, Khai-Nam emerges as a promising alternative source of plant-based protein. This research aims to investigate the optimal condition of protein extraction from Khai-Nam by ultrasound-assisted extraction (UAE) method by the response surface methodology (RSM) with analytical Box-Behnken design (BBD). The experiments exhibited that these three factors affected yield of protein extraction. The optimum conditions for extracting protein were a solid-liquid ratio of 0.1:10 g/mL, ultrasound amplitudes of 100% and extraction time of 30 min; after the experiments performed under these conditions, the maximum protein yield was found to be 39.65% w/w, which is similar to the predicted value. The major amino acids in the Khai-Nam protein concentrate (KNPC) were glutamate, aspartate and leucine. Moreover, the water and oil absorption capacity of the KNPC were 6.41 ± 1.89 g water/g protein and 5.68 ± 0.09 g oil/g protein, respectively. In contrast, the maximum foamability, foaming stability, emulsifying activity, and emulsion stability were 292 ± 28.85%, 88.49 ± 0.78%, 100 ± 0.00%, and 90.83 ± 1.18%, respectively. This study suggests that Khai-Nam protein extracted with ultrasound could be a hopeful and viable alternative protein source in food systems, thereby offering a practical solution to the enhancing demand for plant-based proteins.

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
1秒前
1秒前
bingbing发布了新的文献求助10
2秒前
3秒前
4秒前
华仔的应助被科研通管家采纳,获得10
4秒前
深情安青的应助被科研通管家采纳,获得10
4秒前
深情安青的应助被13508104971采纳,获得10
4秒前
Wissenheimer的应助被科研通管家采纳,获得10
4秒前
松大宝完成签到,获得积分10
4秒前
Lucas的应助被科研通管家采纳,获得10
4秒前
daomaihu发布了新的文献求助100
4秒前
半序发布了新的文献求助10
4秒前
爱学习的应助被科研通管家采纳,获得10
4秒前
Ava的应助被科研通管家采纳,获得10
4秒前
5秒前
脑洞疼的应助被科研通管家采纳,获得10
5秒前
NexusExplorer的应助被科研通管家采纳,获得10
5秒前
香蕉觅云的应助被科研通管家采纳,获得30
5秒前
5秒前
null的应助被科研通管家采纳,获得10
5秒前
脑洞疼的应助被科研通管家采纳,获得10
5秒前
5秒前
大模型的应助被科研通管家采纳,获得10
6秒前
打打的应助被科研通管家采纳,获得10
6秒前
爆米花的应助被聪明机器猫采纳,获得10
6秒前
脑洞疼的应助被科研通管家采纳,获得10
6秒前
陈预立发布了新的文献求助30
6秒前
小二郎的应助被科研通管家采纳,获得10
6秒前
领导范儿的应助被科研通管家采纳,获得10
6秒前
章鱼发布了新的文献求助10
6秒前
6秒前
SciGPT的应助被科研通管家采纳,获得10
6秒前
6秒前
虎溜溜溜发布了新的文献求助100
6秒前
7秒前
7秒前
Orange的应助被科研通管家采纳,获得10
7秒前
Maestro_S的应助被科研通管家采纳,获得10
7秒前
酷波er的应助被科研通管家采纳,获得10
7秒前
高分求助中
(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
拉伸高分子熔体中缠结行为的模拟和小角中子散射研究 1080
Encyclopedia of Modern Artificial Intelligence 1000
Особенности технологий и методов информационно-психологических войн СССР с Великобританией и США в период 1939-1953 гг 1000
Analyses de reconnaissances de dettes passées devant les échevins d'Ypres (1249-1291) 600
Cellulose and Cellulose Derivatives: Synthesis, Modification and Applications 600
Entre Praga y Madrid : los contactos checoslovaco-españoles (1948-1977) 600
热门求助领域 (近24小时)
化学 材料科学 医学 生物 纳米技术 计算机科学 工程类 有机化学 化学工程 生物化学 物理 复合材料 内科学 催化作用 光电子学 人工智能 细胞生物学 无机化学 物理化学 数学
热门帖子
关注 科研通微信公众号,转发送积分 8146122
求助须知:如何正确求助?哪些是违规求助? 9544786
关于积分的说明 21665662
捐赠科研通 7732162
什么是DOI,文献DOI怎么找? 3422931
关于科研通互助平台的介绍 2547978
邀请新用户注册赠送积分活动 2465872