LitCovid-sentences  

PMC:7152911 / 77151-78595 JSONTXT 9 Projects

Annnotations TAB TSV DIC JSON TextAE Lectin_function

Id Subject Object Predicate Lexical cue
T629 0-24 Sentence denotes 3.1.1 Sample filtration
T630 25-149 Sentence denotes Generally, sample filtration relies on the principle of size discrepancy between the target pathogen and background species.
T631 150-271 Sentence denotes Membranes, fibers, and channels have been used in size-selective sample filtration processes for biosensing applications.
T632 272-435 Sentence denotes Biorecognition elements are commonly used to assist the separation process when the target species exhibits similar properties to background species or the matrix.
T633 436-622 Sentence denotes For example, biorecognition elements that exhibit affinity to a broad group of pathogens, such as lectins, have been used in pre-concentration steps for pathogen detection (Zourob et al.
T634 623-629 Sentence denotes 2008).
T635 630-872 Sentence denotes Bacteria typically exhibit a net negative charge at physiological pH (7.4) because of an abundance of lipopolysaccharides or teichoic acids on the cell membrane (Gram-negative bacteria and Gram-positive bacteria, respectively) (Silhavy et al.
T636 873-879 Sentence denotes 2010).
T637 880-1027 Sentence denotes This physical property of cell-based pathogens is leveraged in biofiltration processes, for example, using electropositive filters (Altintas et al.
T638 1028-1034 Sentence denotes 2015).
T639 1035-1238 Sentence denotes While the majority of the aforementioned separation processes involve manual handling steps, sample filtration processes are now being integrated with microfluidic-based biosensing platforms (Song et al.
T640 1239-1245 Sentence denotes 2013).
T641 1246-1444 Sentence denotes For example, Chand and Neethirajan incorporated an integrated sample filtration technique using silica microbeads for the detection of norovirus in spiked blood samples (Chand and Neethirajan 2017).