Directional anchoring patterned liquid-infused superamphiphobic surfaces for high-throughput droplet manipulation

吞吐量 纳米技术 锚固 材料科学 化学 计算机科学 工程类 结构工程 电信 无线
作者
Weijian Liu,Xiao Luo,Changhao Chen,Guochen Jiang,Xinyu Hu,Hongjun Zhang,Minlin Zhong
出处
期刊:Lab on a Chip [Royal Society of Chemistry]
卷期号:21 (7): 1373-1384 被引量:19
标识
DOI:10.1039/d0lc01037e
摘要

High-throughput experiments involving isolated droplets based on patterned superwettable surfaces are important for various applications related to biology, chemistry, and medicine, and they have attracted a large amount of interest. This paper provides a directional anchoring liquid-infused superamphiphobic surface (DAS), via combining concepts based on the droplet-anchoring behavior of beetle backs with patterned wettability, the directional adhesion of butterfly wings, and the slippery liquid-infused surfaces (SLISs) of pitcher plants. Regularly arranged ">"-shaped SLIS patterns were created on a superamphiphobic (SAM) background through ultrafast-laser-based technology. Improved directional anchoring abilities with a sliding angle difference of 77° were achieved; this is the largest sliding angle difference in a one-dimensional direction achieved using an artificial surface, to the best of the authors' knowledge. Thanks to the directional anchoring abilities, the DAS coupled droplet 'anchoring' and 'releasing' abilities. Furthermore, a high-throughput droplet manipulation device was designed, on which a micro-droplet array with a large number of droplets can be 'captured', 'transferred', or 'released' in a single step. With the addition of lubricant, the DAS can work continuously for even more than 30 cycles without cross-contamination between different droplets. The DAS also shows good stability under an ambient atmosphere and can maintain its functionality when manipulating corrosive droplets. The DAS and corresponding high-throughput droplet manipulation method are excellent candidates for practical applications.
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
万能图书馆应助侯天宇采纳,获得10
1秒前
1秒前
2秒前
coral发布了新的文献求助10
2秒前
2秒前
3秒前
3秒前
4秒前
桐桐应助美丽天宇采纳,获得10
6秒前
7秒前
CodeCraft应助神经外科王采纳,获得10
7秒前
7秒前
科研通AI6.4应助子车采蓝采纳,获得10
7秒前
8秒前
8秒前
10秒前
隗思睿发布了新的文献求助10
11秒前
chem-wang发布了新的文献求助10
11秒前
12秒前
闪闪机器猫应助一7采纳,获得10
12秒前
asdfasdfasd发布了新的文献求助10
12秒前
13秒前
灰灰完成签到 ,获得积分10
13秒前
我头铁哇完成签到,获得积分10
14秒前
王小海111完成签到 ,获得积分10
14秒前
zhangjianan发布了新的文献求助10
14秒前
打怪完成签到,获得积分10
15秒前
嘻嘻哈哈完成签到,获得积分20
15秒前
15秒前
NexusExplorer应助认真的诗槐采纳,获得10
16秒前
16秒前
16秒前
16秒前
东大小黄狗丶完成签到,获得积分10
17秒前
小卢完成签到,获得积分20
17秒前
宋思博发布了新的文献求助10
17秒前
会飞的小鱼关注了科研通微信公众号
18秒前
乐观发布了新的文献求助10
18秒前
传奇3应助超级绮波采纳,获得10
18秒前
19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
Rosenblum, Global Change Biology 800
Essentials of Carbohydrate Chemistry and Biochemistry, 4th Edition 800
Organizational Behavior 510
Management and the Arts 510
Matrix Methods in Data Mining and Pattern Recognition Second Edition 510
Physiologic specialization in Peronospora manshurica 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 计算机科学 化学工程 工程类 有机化学 物理 复合材料 生物化学 内科学 细胞生物学 基因 遗传学 免疫学 冶金 光电子学 癌症研究
热门帖子
关注 科研通微信公众号,转发送积分 7777040
求助须知:如何正确求助?哪些是违规求助? 9318227
关于积分的说明 20362977
捐赠科研通 7364139
什么是DOI,文献DOI怎么找? 3318830
关于科研通互助平台的介绍 2466494
邀请新用户注册赠送积分活动 2334013