Kinetic modelling of anthocyanins and vitamin C degradation in a maqui-citrus beverage during storage for different sweeteners and pasteurization treatments

巴氏杀菌 食品科学 保质期 化学 三氯蔗糖 降级(电信) 动力学 计算机科学 量子力学 电信 物理
作者
Diego Hernández-Prieto,Francisco J. Salar,Alberto Garre,Pablo Salvador Fernández Escámez,Cristina García‐Viguera,Jesús M. Frías
出处
期刊:Lebensmittel-Wissenschaft & Technologie [Elsevier BV]
卷期号:199: 116082-116082 被引量:2
标识
DOI:10.1016/j.lwt.2024.116082
摘要

Kinetic models to describe the degradation of anthocyanins (first-order model) and vitamin C (system of ordinary differential equations) in a novel beverage, has been used as a tool to identify the most relevant variables for the degradation kinetics and to support shelf-life estimation. The models were based on an empirical dataset, accounting for the effect of a prior processing treatment (HHP at 400 MPa- 180s; HHP at 600 MPa-180s; thermal treatment at 85ºC for 15s), storage temperature (4 or 20ºC), and the use of two different sweeteners (sucralose or stevia). Using model selection (based on AIC), we conclude that the degradation kinetics depends on a complex combination of process and product parameters. A strong temperature dependence on anthocyanins and vitamin C was observed during pasteurization. Products treated by HHP resulted in higher vitamin C concentrations during storage than those thermally treated. Finally, an interaction with the sweetener resulted in a slight stabilization of bioactive compounds. In conclusion, this study demonstrates the the complexity of the degradation process of bioactive compounds in these beverages, advocating that nonlinear kinetic models serve as a tool to identify the most relevant parameters, ultimately supporting product formulation and shelf life estimation
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
2秒前
3秒前
xue完成签到,获得积分20
5秒前
wdq完成签到,获得积分10
5秒前
影子完成签到,获得积分10
5秒前
5秒前
林珍发布了新的文献求助10
5秒前
板烧鸡腿堡完成签到,获得积分20
6秒前
QiruiBo发布了新的文献求助30
6秒前
6秒前
6秒前
紫菱发布了新的文献求助10
7秒前
YQQ完成签到,获得积分10
8秒前
9秒前
wuwu发布了新的文献求助10
10秒前
11秒前
12秒前
怡然的绿蕊完成签到,获得积分10
12秒前
潜水的桃发布了新的文献求助10
13秒前
zhang发布了新的文献求助10
13秒前
15秒前
ccc发布了新的文献求助10
16秒前
123发布了新的文献求助10
17秒前
all发布了新的文献求助10
19秒前
20秒前
Jasper应助zhang采纳,获得10
20秒前
完美世界应助sss采纳,获得10
20秒前
20秒前
研友_VZG7GZ应助wuyanchi采纳,获得10
22秒前
24秒前
努力学习中应助轻风叶爽采纳,获得20
25秒前
MikiWu发布了新的文献求助10
25秒前
29秒前
31秒前
35秒前
35秒前
sss完成签到,获得积分10
35秒前
xy_009721完成签到,获得积分10
36秒前
李健应助clvn采纳,获得20
37秒前
JACk完成签到 ,获得积分10
38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
PowerCascade: A Synthetic Dataset for Cascading Failure Analysis in Power Systems 2000
Various Faces of Animal Metaphor in English and Polish 800
Signals, Systems, and Signal Processing 610
An Introduction to Medicinal Chemistry 第六版习题答案 600
On the Dragon Seas, a sailor's adventures in the far east 500
Yangtze Reminiscences. Some Notes And Recollections Of Service With The China Navigation Company Ltd., 1925-1939 500
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 物理 内科学 复合材料 催化作用 物理化学 光电子学 电极 细胞生物学 基因 无机化学
热门帖子
关注 科研通微信公众号,转发送积分 6347345
求助须知:如何正确求助?哪些是违规求助? 8162070
关于积分的说明 17168960
捐赠科研通 5403513
什么是DOI,文献DOI怎么找? 2861465
邀请新用户注册赠送积分活动 1839278
关于科研通互助平台的介绍 1688579