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Record W2606901414 · doi:10.11159/icnnfc17.111

Mechanical Cell Disruption Using Hierarchical Micro-Nano Structureson Nanoporous Alumina Filter

2017· article· en· W2606901414 on OpenAlexvenueno aff
Yong‐Hun Lee, Eui Don Han, Yong Min Park, Byeong Hee Kim, Young Ho Seo

Bibliographic record

VenueProceedings of the World Congress on Recent Advances in Nanotechnology · 2017
Typearticle
Languageen
FieldMaterials Science
TopicAnodic Oxide Films and Nanostructures
Canadian institutionsnot available
FundersNational Research Foundation of KoreaNational Research Foundation
KeywordsNanoporousMaterials scienceNano-NanotechnologyFilter (signal processing)Composite materialComputer science

Abstract

fetched live from OpenAlex

Cell disruption is essential process in molecular biology and biomedical engineering for investigation of DNA, RNA, virus and protein in cell. Generally, there are some methods for cell disruption or cell lysis such as chemical, electrical and mechanical method. [1, 2] Chemical cell lysis is method that dissolve cell envelope and nucleus using cell lysis buffer and lysate from this process contains lysis buffer which couldn't know the composition. Electrical and mechanical cell disruption methods required external equipment and shows low cell disruption efficiency. Especially, mechanical cell disruption is easy and quick method and studied using microstructures for increment of cell disruption efficiency. Hierarchical micro-nano structures on nanoporous alumina filter was fabricated aluminium wet etching process and multi-step anodic aluminium oxidation process. Pure aluminium sheet (5N, 1mm thickness) was mechanical and electro-polished for mirror-like surface. Next, aluminium sheet was dipped in aluminium etchant of CuCl 2 base for fabrication of micro-structures. During aluminium etching process, micro-structures were formed by chipping off a grain boundary of aluminium. Multi-step anodic aluminium oxidation process was carried out for fabrication of nano-structures and filter body. Aluminium that formed micro-structures on surface was anodized twice in 0.3M phosphoric acid aqueous solution of -5C under 180V. Formed nanoporous alumina structure was expanded by wet etching process for forming of spike-like nanostructure shape in 0.1M phosphoric acid aqueous solution of 35C. 3 rd anodic aluminium oxidation process was carried out for fabrication of filter body under same condition mentioned above for 40hours. Finally, aluminium was removed and barrier layer of nanoporous alumina was opened by wet etching process. For mechanical cell disruption, NIH3T3 fibroblast cells (1 10 6 cells/ml) in PBS (phosphate buffered saline) were injected through hierarchical micro-nano structures on nanoporous alumina filter which assembled with commercial filter holder by air pressure (5bar). Cell disruption efficiency was evaluated by quantification of DNA and protein in lysate. Concentration of DNA and protein were quantified using DNA isolation kit (DNeasy, Quiagen) and Bradford assay, respectively. According to results, 5.1 1.3 g/ml of DNA and 46 11 g/ml of protein were detected from lysate. In cell disruption process using hierarchical micro-nano structure on nanoporous alumina filter, cell envelope and nucleus were teared by micro-structures and un-teared nucleus by micro-structure was disrupted by nano-structures. This results shows cell envelop disruption of 32 % and cell nucleus disruption of 92 % compared to theoretical value. [7,

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame machine prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. The Gemma side is a direct model label for every work in the frame, read from the title-only record. The Codex side is a classifier learned from the 10,348 direct Codex labels and calibrated to design-weighted sample rates; fields without enough sample support carry no Codex call. Candidate is the union of the two sides; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: metacan-v3-hybrid-931329e0061cValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.001
Threshold uncertainty score0.004

Distilled classifier scores by category (both heads)

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0010.001

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.012
GPT teacher head0.275
Teacher spread0.263 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one source (direct Gemma or distilled Codex), not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

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Citations0
Published2017
Admission routes1
Has abstractyes

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