PATENT CLAIM ANALYSIS

Application Number: 16288589
Application Type: Utility
Filing Date: 2019-02
Publication Date: 2019-06
Patent Classification: ["252", "184000"]

Abstract:
An alumina-based adsorbent and method of making exhibiting high affinity and capacity towards fluoride ions and oxyanions of phosphorus and arsenic in a broad pH range and presence of large excess of competitive ions. Alumina based adsorbent is a mixed oxide of alumina existing in tetra-, penta-, and octahedral coordination at specific ratio, and oxides of polyvalent metals of elements titanium, zirconium, tin, cerium, lanthanum, iron, or combinations thereof. The alumina based adsorbent may be used for selective removal of fluoride ion and oxyanions of phosphorus and arsenic from drinking water, industrial streams and wastes, in medicine and food industry.

Claim (Index 26):
A method of making an alumina titania mixed oxide adsorbent comprising:\n forming a metal containing solution by mixing Al 2 (SO 4 )3*18H 2 O, 15.0 wt % titanyl sulfate solution on TiO 2 , and deionized water; adding simultaneously said metal containing solution and 25 wt % solution of NaOH with water at a predetermined flow rate, allowing for a constant pH level; aging a precipitate of said alumina titania mixed oxide in mother-liquor at ambient temperature; separating said precipitate from said mother-liquor by filtration; washing said precipitate with deionized water to form a wet cake; and drying said wet cake.

Metadata:
- Claim Count in Document: 35.0
- Percentile: 99.0
- Lexical Diversity: 1.58333
- Patent Class: 252.0
- Transitional Phrase Type: open
- Component Type: 1
- Foreign Priority: False
- Related Applications: ['15820633', '16287597', '14943580', '14637786', '15869410']

Analysis Scores:
- 35 USC 101 Eligibility (BERT): 0.8429586756702157
- 35 USC 102 Novelty (BERT): 0.5835705335877879
- Combined Prediction Score: 0.8170198614619729
- Mean Citation Score: 395.739706
- Max Citation Score: 494.31134
- Similarity Product: 475.9654864467967

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