Evidence map›Paper›PMID 37840076›Full record

ArticleScientific reports2023

Highly nonlinear optic nucleic acid thin-solid film to generate short pulse laser.

Marjan Ghasemi, Pulak Chandra Debnath, Byungjoo Kim, Marzieh Pournoury, Reza Khazaeinezhad, Sahar Hosseinzadeh Kassani, Dong-Il Yeom, Kyunghwan Oh

Abstract read
In one paragraph

Article in Scientific reports, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

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Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Marjan Ghasemi *Photonic Device Physics Laboratory, Department of Physics, Yonsei University, 50 Yonsei-ro Seodaemun-gu, Seoul, 120-749, South Korea.
Pulak Chandra Debnath *Department of Physics and Energy Systems Research, Ajou University, Suwon, 443-749, South Korea.
Byungjoo KimDepartment of Laser and Electron Beam Technologies, Korea Institute of Machinery and Materials (KIMM), 156, Gajeongbuk-ro, Yuseong-gu, Daejeon, 34103, Republic of Korea.
Marzieh PournouryDepartment of Electrical and Electronic Engineering, Yonsei University, Seoul, 03722, South Korea.
Reza KhazaeinezhadBeckman Laser Institute, University of California, Irvine, Irvine, CA, 92697, USA.
Sahar Hosseinzadeh KassaniBeckman Laser Institute, University of California, Irvine, Irvine, CA, 92697, USA.
Dong-Il YeomDepartment of Physics and Energy Systems Research, Ajou University, Suwon, 443-749, South Korea.
Kyunghwan OhPhotonic Device Physics Laboratory, Department of Physics, Yonsei University, 50 Yonsei-ro Seodaemun-gu, Seoul, 120-749, South Korea. koh@yonsei.ac.kr.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Using aqueous precursors, we report successfully fabricating thin-solid films of two nucleic acids, ribonucleic acid (RNA) and deoxyribonucleic acid (DNA). We investigated the potential of these films deposited on a fiber optic platform as all-fiber integrated saturable absorbers (SAs) for ultrafast nonlinear optics. RNA-SA performances were comparable to those of DNA-SA in terms of its nonlinear transmission, modulation depth, and saturation intensity. Upon insertion of these devices into an Erbium-doped fiber ring-laser cavity, both RNA and DNA SAs enabled efficient passive Q-switching operation. RNA-SA application further facilitated robust mode-locking and generated a transform-limited soliton pulse, exhibiting a pulse duration of 633 femtoseconds. A detailed analysis of these pulsed laser characteristics compared RNA and DNA fiber optic SAs with other nonlinear optic materials. The findings of this research establish the feasibility of utilizing RNA as a saturable absorber in ultrafast laser systems with an equal or higher potential as DNA, which presents novel possibilities for the nonlinear photonic applications of nucleic acid thin solid films.

Indexed as

Nucleic AcidsDNALasersMotion PicturesRNADNANucleic AcidsRNA

Identifiers

PMID37840076
PMCPMC10577146

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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.