Prediction of Tactile Sensory Attributes of Facial Moisturizers by Rheology and Tribology

摩擦学 流变学 材料科学 复合材料 粘弹性 粘度
作者
Jonghun Lee,Joey Lu,Andrei Potanin,Christine Boyke
出处
期刊:Biotribology [Elsevier BV]
卷期号:28: 100201-100201 被引量:8
标识
DOI:10.1016/j.biotri.2021.100201
摘要

Twenty-three commercial samples of facial moisturizers were tested using rheological and tribological measurements and further compared to sensorial attributes as rated by descriptive panels. The correlation between panel ratings and mechanical properties of these products were studied and reported herein. As the panel evaluation proceeds from initial appearance, pick-up and rub-out to residue attributes, the sample thickness decreases from the centimeter scale to the micrometer scale. It was found that with this decrease, the dominating mechanical properties shift from rheological to tribological. Appearance and pick-up attributes seem to be governed by bulk rheology, while rub-out attributes are in a transient regime where both rheology and tribology are relevant. Besides, residue attributes are actually represented by the tribology of films. It is interpreted as evidence that the relevant mechanical properties pertain to film thickness. This conclusion is confirmed by stepwise multivariate linear regression analysis, which allows for the top two predictors to emerge: instantaneous viscosity maximum from rheology and coefficient of friction at a slow sliding speed from tribology.

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
传奇3应助Patrick采纳,获得10
刚刚
刚刚
刚刚
芒果完成签到,获得积分10
刚刚
MiRoRo发布了新的文献求助10
1秒前
1秒前
4秒前
Cbp发布了新的文献求助50
4秒前
pero发布了新的文献求助10
5秒前
5秒前
道中道完成签到,获得积分10
6秒前
牧青发布了新的文献求助150
7秒前
史先森完成签到,获得积分10
7秒前
大气的fgyyhjj完成签到,获得积分10
8秒前
pryturk完成签到,获得积分10
8秒前
Lny发布了新的文献求助20
9秒前
yyyych驳回了wanci应助
9秒前
宋宋发布了新的文献求助10
10秒前
Cpj145完成签到,获得积分10
11秒前
wanci应助明4采纳,获得10
12秒前
13秒前
Ageha发布了新的文献求助10
13秒前
钟贵泉完成签到,获得积分20
14秒前
烟花应助nono采纳,获得10
15秒前
Lz555完成签到 ,获得积分0
15秒前
Bingqing发布了新的文献求助10
18秒前
18秒前
sxy完成签到,获得积分10
19秒前
JamesPei应助长孙归尘采纳,获得10
19秒前
完美世界应助Ra1n采纳,获得10
19秒前
20秒前
邢一完成签到 ,获得积分10
21秒前
sica1102完成签到,获得积分10
21秒前
22秒前
22秒前
zgmhemtt完成签到 ,获得积分20
22秒前
所所应助sadascaqwqw采纳,获得10
22秒前
霸气傀斗完成签到 ,获得积分10
22秒前
张姐发布了新的文献求助10
23秒前
冷酷的狗发布了新的文献求助10
24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
Picture this! Including first nations fiction picture books in school library collections 1500
Signals, Systems, and Signal Processing 610
Unlocking Chemical Thinking: Reimagining Chemistry Teaching and Learning 555
CLSI M100 Performance Standards for Antimicrobial Susceptibility Testing 36th edition 400
How to Design and Conduct an Experiment and Write a Lab Report: Your Complete Guide to the Scientific Method (Step-by-Step Study Skills) 333
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 6363522
求助须知:如何正确求助?哪些是违规求助? 8177450
关于积分的说明 17232877
捐赠科研通 5418629
什么是DOI,文献DOI怎么找? 2867141
邀请新用户注册赠送积分活动 1844328
关于科研通互助平台的介绍 1691850