Back

Metal-Assisted and Microwave-Accelerated Germination

ASLAN, K.; STEVENSON, M.; GUY, J.; BONYI, E.; MOHAMMED, M.; OZTURK, B.; DRAKE, K.; MCLEAN, F.; SOUFFRANT, A.; BIGIO, A.

2019-08-22 bioengineering
10.1101/743252 bioRxiv
Show abstract

We report the proof-of-principle demonstration of a methodology, called Metal-Assisted and Microwave-Accelerated Germination, to modulate the germination of plant seeds and growth of plants using gold nanoparticles (Au NPs) and microwave heating. As a model plant seed, basil seeds were heated in a solution of 20 nm Au NPs using a microwave waveguide fiber connected to a solid-state microwave operating at 8 GHz at 20 W, which resulted in the development of longer basil gum as observed by optical microscopy. In control experiments, Au NPs or microwave heating was omitted to establish a baseline growth level under standard experimental conditions (no microwave heating or no Au NPs). Our results also show that hydroponic growth and soil growth of basil plants can be delayed with the use of 20 nm Au NPs at room temperature without microwave heating. The combined use of 20 nm Au NPs and microwave heating at 10 W for 6 minutes results in accelerated growth prolonged life of basil plants.

Matching journals

The top 11 journals account for 50% of the predicted probability mass.

1
Scientific Reports
○ 3612 papers in training set
Top 3%
11.8%
Similar papers in this journal
2
ACS Applied Materials & Interfaces
● 39 papers in training set
Top 0.1%
6.2%
Similar papers in this journal
3
PLOS ONE
● 5266 papers in training set
Top 27%
5.4%
Similar papers in this journal
4
ACS Applied Bio Materials
● 24 papers in training set
Top 0.1%
4.3%
Similar papers in this journal
5
Advanced Functional Materials
○ 46 papers in training set
Top 0.3%
4.3%
Similar papers in this journal
6
ACS Nano
● 113 papers in training set
Top 0.6%
3.4%
7
Biosensors and Bioelectronics
○ 57 papers in training set
Top 0.3%
3.4%
8
Nano Letters
● 71 papers in training set
Top 0.4%
3.2%
9
Nanoscale Advances
● 15 papers in training set
Top 0.1%
3.2%
10
ACS Omega
● 105 papers in training set
Top 0.6%
3.2%
11
Small
○ 78 papers in training set
Top 0.5%
3.1%
50% of probability mass above
12
Langmuir
● 36 papers in training set
Top 0.2%
2.6%
13
International Journal of Molecular Sciences
○ 494 papers in training set
Top 5%
2.4%
14
Advanced Materials Interfaces
○ 10 papers in training set
Top 0.1%
2.4%
15
Chemical Engineering Journal
○ 11 papers in training set
Top 0.1%
2.1%
16
Advanced Science
○ 286 papers in training set
Top 4%
1.9%
17
Biomaterials Advances
○ 22 papers in training set
Top 0.3%
1.9%
18
Analytical Chemistry
● 218 papers in training set
Top 1%
1.9%
19
Journal of Colloid and Interface Science
○ 12 papers in training set
Top 0.1%
1.5%
20
Nature Communications
○ 5641 papers in training set
Top 48%
1.3%
21
RSC Advances
● 22 papers in training set
Top 0.6%
1.1%
22
Nanoscale
● 42 papers in training set
Top 0.5%
1.1%
23
Advanced Healthcare Materials
○ 85 papers in training set
Top 1%
1.1%
24
Materials Today Bio
○ 20 papers in training set
Top 0.6%
1.0%
25
ACS Biomaterials Science & Engineering
● 37 papers in training set
Top 0.8%
0.9%
26
Small Methods
○ 29 papers in training set
Top 0.6%
0.9%
27
iScience
○ 1154 papers in training set
Top 33%
0.9%
28
Analytica Chimica Acta
○ 17 papers in training set
Top 0.4%
0.8%
29
NAR Molecular Medicine
◐ 22 papers in training set
Top 0.3%
0.8%
30
Journal of Biomechanical Engineering
● 20 papers in training set
Top 0.6%
0.8%

"Similar papers" are the closest papers from that journal in the model's embedding space. They show what the match is built on, but the ranking comes mostly from a classifier over the whole training set, not from these examples alone.