PATENT CLAIM ANALYSIS

Application Number: 16162669
Application Type: Utility
Filing Date: 2018-10
Publication Date: 2019-02
Patent Classification: ["424", "405000"]

Abstract:
The present disclosure relates to methods for forming an antimicrobial nanostructure and antimicrobial articles. The methods may include: providing a master template of a layout of the antimicrobial nanostructure on a silicon substrate, depositing a silicon nitride layer on a top surface of the silicon substrate, forming a patterned lithographic resist mask layer on a top surface of the silicon nitride layer, generating certain silicon pillars according to the patterned lithographic resist mask using a resist and reactive ion etching, forming certain lateral silicon nanospikes on the silicon pillars by performing metal assisted chemical etching (MacEtch), and removing the silicon nitride layer and bonding a top cover glass on the silicon pillars to form the antimicrobial nanostructure having lateral silicon nanospikes. The antimicrobial article may include a component of an electronic device, a biomedical article, a household product, a food grade article, a transportation component, or a public building component.

Claim (Index 12):
The article of  claim 1 , wherein a density of the lateral silicon nanospikes is in a range from about 100 to about 500 per square microns.

Metadata:
- Claim Count in Document: 50.0
- Percentile: 97.0
- Lexical Diversity: 2.24324
- Patent Class: 424.0
- Transitional Phrase Type: none
- Component Type: 0
- Foreign Priority: False
- Related Applications: ['15632947', '15091074', '14973984', '12158553', '13045150']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.7565791923973355
- 35 USC 102 Novelty (BERT): 0.5652819889807499
- Combined Prediction Score: 0.737449472055677
- Mean Citation Score: 295.3766940000001
- Max Citation Score: 472.32303
- Similarity Product: 344.93635891978744

Labels:
- Claim Label 101: 1
- Claim Label 102: 1
- Claim Label 103: 1
- Claim Label 112: 1
- Combined Label: 1
- Label 101 Adjusted: 1

Dataset: test