Upgrade to Pro
— share decks privately, control downloads, hide ads and more …
Speaker Deck
Features
Speaker Deck
PRO
Sign in
Sign up for free
Search
Search
on nanofluidics and why it is so great
Search
andreas manz
August 08, 2005
Research
0
92
on nanofluidics and why it is so great
... given jointly with Jan Eijkel at GRC, Oxford 2005.
andreas manz
August 08, 2005
Tweet
Share
More Decks by andreas manz
See All by andreas manz
biomimetics
amzamz
0
31
Human Document Project
amzamz
0
230
microfluidics vs. self-assembly
amzamz
0
260
Human Document Project - introduction, goals & a small project
amzamz
0
370
microfluidics & miniaturization for clinical diagnostics
amzamz
0
340
Human Document Project - introduction, goals & myself
amzamz
0
140
chip-based microfluidic methods for analytical chemistry
amzamz
0
120
chip technology, nanoliters and picoliters - miniaturization of (bio)analytical chemistry methods
amzamz
1
130
microfluidics based chemical separation and reaction schemes
amzamz
1
82
Other Decks in Research
See All in Research
Generative Models 2025
takahashihiroshi
25
14k
音声感情認識技術の進展と展望
nagase
0
320
単施設でできる臨床研究の考え方
shuntaros
0
3.1k
Combining Deep Learning and Street View Imagery to Map Smallholder Crop Types
satai
3
150
とあるSREの博士「過程」 / A Certain SRE’s Ph.D. Journey
yuukit
11
4.7k
VectorLLM: Human-like Extraction of Structured Building Contours via Multimodal LLMs
satai
4
380
「どう育てるか」より「どう働きたいか」〜スクラムマスターの最初の一歩〜
hirakawa51
0
990
Learning to (Learn at Test Time): RNNs with Expressive Hidden States
kurita
1
280
MetaEarth: A Generative Foundation Model for Global-Scale Remote Sensing Image Generation
satai
4
370
Vision and LanguageからのEmbodied AIとAI for Science
yushiku
PRO
1
570
機械学習と数理最適化の融合 (MOAI) による革新
mickey_kubo
1
400
Submeter-level land cover mapping of Japan
satai
3
470
Featured
See All Featured
Thoughts on Productivity
jonyablonski
72
4.9k
A better future with KSS
kneath
239
18k
YesSQL, Process and Tooling at Scale
rocio
174
15k
Bootstrapping a Software Product
garrettdimon
PRO
307
110k
Reflections from 52 weeks, 52 projects
jeffersonlam
355
21k
Testing 201, or: Great Expectations
jmmastey
46
7.7k
個人開発の失敗を避けるイケてる考え方 / tips for indie hackers
panda_program
116
20k
Measuring & Analyzing Core Web Vitals
bluesmoon
9
650
Code Review Best Practice
trishagee
72
19k
XXLCSS - How to scale CSS and keep your sanity
sugarenia
249
1.3M
ピンチをチャンスに:未来をつくるプロダクトロードマップ #pmconf2020
aki_iinuma
127
54k
How to Think Like a Performance Engineer
csswizardry
27
2.2k
Transcript
LATERNA MAGICA
REFE RENC E
LATERNA MAGICA
GLASS GLASS DEVICE
LATERNA MAGICA
THE OLDE BUNNY TRICK
MY LATEST AIR PUMP
THE OLDE BUNNY TRICK
THE OLDE BUNNY TRICK
microfluidics
Microf luidics
waves
None
None
On nanofluidics and why it’s so great S. Holmes, Baker
Street, London
DNA research confinement & reading Tegenfeldt 2004, Craighead group Kasianowicz
, 1996
Nanotechnology: spatial design instead of randomness Korda, 2002 Huang, 2004
Continuous flow!
Thermal ratchets: employ noise Koss, 2003 Bader, 2004 Separation speed
scales with 1/d2 !
Actin-myosin movement by ATP-biased Brownian motion (Kitamura 1999)
Rustom, 2004
Natura artis magistra (or: bottom-up and top-down) There’s plenty of
sophistication at the bottom
Bottom-up: Aquaporins specific transport
proton transport blocked Water dipole reorientation no dipole chain
no Grotthus proton conduction Tajkhorshid et al., Science, 296 (2002) 525
Aquaporin http://www.ks.uiuc.edu/Research/aquaporins/
Bottom-up: Na+ K+ ATPase active transport through cell wall
Separation!
• Na+/K+ separating force (Energy / distance ) : 1ATP
/ (membrane thickness) = 14 kT / 4 nm 14 pN • Pumps against E-field of 70 mV / 4 nm = 1.75e7 V/m • Electrophoresis: max. 2e5 V/m 0.03 pN on unit charge • Almost isothermal, ~ 100% efficiency • Energy dissipation only where needed
None
Combining top/down and bottom/up Cornell, 1997
Why nanofluidics is so great • Single molecule studies •
Freedom of nanoarchitecture instead of random separation structure – Sophisticated sieving (continuous flow), ratchets • From nature: active transport for separation – efficient – high separating field gradients – specific
Now, isn’t that great???
None