7 research outputs found
Precise Sorting of Gold Nanoparticles in a Flowing System
Precise sorting of gold nanoparticles
is important, but it still
remains a big challenge. Traditional methods such as centrifugation
can separate nanoparticles with a high throughput but at the cost
of low precision. Optical tweezers enable the precise manipulation
of a single nanoparticle in steady liquid environments. However, this
method may become problematic when dealing with a considerable amount
of nanoparticles in a flowing system due to the difficulties in balancing
the additional Stokes forces by the fast velocity of streams and in
controlling all dispersed nanoparticles with disorderly positions.
Here, we exploit optical and hydrodynamic forces to sort gold nanoparticles
in the flowing system, obtaining simultaneously high precision and
considerable throughput. This is accomplished by utilizing opposite
impinging streams to generate a stagnation point, near which the flow
velocity becomes very small to reduce the Stokes force and to prolong
the optical acting time. Nanoparticles of different sizes, confined
in a narrow region by the hydrodynamic focusing, can then be separated
by a laser beam of moderate power. Experimental demonstrations have
been presented by sorting gold nanoparticles with diameters of 50
nm from those of 100 nm, and 100 nm from 200 nm. The sorting fidelities
is ≥92% for the 50/100 nm combination and ≥86% for the
100/200 nm set, with a sorting throughput of 300 particles/min. Sorting
of gold nanoparticles with smaller heterogeneity (50 and 70 nm) has
also been realized with a lower throughput of <100 particles/min.
Our method can also be extended to separate nanoparticles of different
shapes and compositions, which shows its great promise in the fields
of plasmonics and nanophotonics
Precise Sorting of Gold Nanoparticles in a Flowing System
Precise sorting of gold nanoparticles
is important, but it still
remains a big challenge. Traditional methods such as centrifugation
can separate nanoparticles with a high throughput but at the cost
of low precision. Optical tweezers enable the precise manipulation
of a single nanoparticle in steady liquid environments. However, this
method may become problematic when dealing with a considerable amount
of nanoparticles in a flowing system due to the difficulties in balancing
the additional Stokes forces by the fast velocity of streams and in
controlling all dispersed nanoparticles with disorderly positions.
Here, we exploit optical and hydrodynamic forces to sort gold nanoparticles
in the flowing system, obtaining simultaneously high precision and
considerable throughput. This is accomplished by utilizing opposite
impinging streams to generate a stagnation point, near which the flow
velocity becomes very small to reduce the Stokes force and to prolong
the optical acting time. Nanoparticles of different sizes, confined
in a narrow region by the hydrodynamic focusing, can then be separated
by a laser beam of moderate power. Experimental demonstrations have
been presented by sorting gold nanoparticles with diameters of 50
nm from those of 100 nm, and 100 nm from 200 nm. The sorting fidelities
is ≥92% for the 50/100 nm combination and ≥86% for the
100/200 nm set, with a sorting throughput of 300 particles/min. Sorting
of gold nanoparticles with smaller heterogeneity (50 and 70 nm) has
also been realized with a lower throughput of <100 particles/min.
Our method can also be extended to separate nanoparticles of different
shapes and compositions, which shows its great promise in the fields
of plasmonics and nanophotonics
Additional file 3: Table S2. of A long non-coding RNA signature to improve prognosis prediction of gastric cancer
24-lncRNA signature related signaling pathways with positive and negative enrichment score ranked by enrichment score. (XLS 267Â kb
Additional file 2: Figure S1. of A long non-coding RNA signature to improve prognosis prediction of gastric cancer
Kaplan-Meier estimates of the disease free survival (DFS) of GEO patients using the 24-lncRNA signature, stratified by TNM stage. Entire GSE62254 set (N = 300) were first stratified by low TNM stage (I & II) and high TNM stage (III & IV). Kaplan-Meier plots were then used to visualize the survival probabilities for the high-risk versus low-risk group of patients determined on the basis of the median risk score from the GSE62254 set patients. (A) Kaplan-Meier curves for the entire GSE62254 set patients (N = 300); (B) Kaplan-Meier curves for patients with low TNM stage (N = 127); (C) Kaplan-Meier curves for patients with high TNM stage (N = 173). The tick marks on the Kaplan-Meier curves represent the censored subjects. The differences between the two curves were determined by the two-sided log-rank test. (EPS 1031 kb
Additional file 1: Table S1. of A long non-coding RNA signature to improve prognosis prediction of gastric cancer
Clinical characteristics of 492 gastric cancer patients involved in the study. (DOCX 15Â kb