Evidence map›Paper›PMID 39145785›Full record

ArticleMikrochimica acta2024

Full-color biomass carbon dots for high-level information encryption and multi-color light emitting diode applications.

Shipeng Wang, Shenghui Li, Yuxuan He, Shanrong Wang, Qian Cheng, Yu Li

Abstract read
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In one paragraph

Article in Mikrochimica acta, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
–field-weighted citation impact
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

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

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

2 citing papers in PubMed.

  1. Review
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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

6 authors.

Shipeng Wang *Key Laboratory of Bio-based Materials Science & Technology (Northeast Forestry University), Ministry of Education, Harbin, 150040, China.
Shenghui Li *Key Laboratory of Bio-based Materials Science & Technology (Northeast Forestry University), Ministry of Education, Harbin, 150040, China.
Yuxuan HeKey Laboratory of Bio-based Materials Science & Technology (Northeast Forestry University), Ministry of Education, Harbin, 150040, China.
Shanrong WangHeilongjiang Red Cross Sengong General Hospital, Harbin, 150040, China.
Qian ChengKey Laboratory of Bio-based Materials Science & Technology (Northeast Forestry University), Ministry of Education, Harbin, 150040, China. chengqian66@163.com.
Yu LiCollege of Science, Northeast Forestry University, Harbin, 150040, China. liyu87043@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Six biomass carbon dots (BCDs) with adjustable emission from 450 to 680 nm under a single wavelength excitation were successfully synthesized from spinach via solvent control strategy. The obtained BCDs show blue, green, yellow, violet, pink, and red emission with high photoluminescence quantum yield (PLQY = 12.68 ~ 30.77%). Detailed characterizations disclose that the tunable-emission mechanism is caused by the synergistic effect of carbon conjugate and surface oxidation degree. Meanwhile, full-color photoluminescence BCDs/PVP powder and BCDs/PVP/PVA films were fabricated by utilizing the prepared BCDs combined with polyvinylpyrrolidone (PVP) and polyvinyl alcohol (PVA), respectively, which presented excellent high-level information encryption application. Importantly, multi-color and white light-emitting diode (LED) with Commission Internationale de L' Eclairage (CIE) of blue (0.25, 0.29); green (0.25, 0.31); yellow (0.42, 0.45); red (0.52, 0.31); and white (0.32, 0.31) were achieved by only using our prepared BCDs. This work provides a valuable strategy of preparing multi-color BCDs using readily available biomass materials and paves a way for high-level information encryption and LED applications.

Indexed as

Anti-counterfeitingBiomass carbon dotsLight-emitting diodesMulti-color emission

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Registered trials

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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.