Back

Protocol for the Synthesis of Green Fluorescence Carbon Quantum Dots and Biological Application

Khatri, H.; Kumar, A.; Solanki, R.; Yadav, P.; Bhatia, D. D.; Yadav, A. K.

2025-10-30 bioengineering
10.1101/2025.10.28.685185 bioRxiv
Show abstract

Carbon quantum dots (CQDs) are materials that are made up of particles that are only a few n anometers wide. They have no dimensions and can change their fluorescence qualities. They are also verybiocompatible and have a lot of potential to change the chemistry of their surface. Their eco-friendly synthesis from precursors, like citric acid (CA) and ascorbic acid (AA), provides a sustainable approach to highly fluorescent nanomaterials with promising applications in bioimaging, drug delivery, and other biomedical fields. Green-emitting carbon quantum dots (GCQDs) were synthesized via a simple reflux approach using citric acid and ascorbic acid as biomolecular precursors in a solvent solution of ethanol-water (1:2). The obtained GCQDs solution was purified using a dialysis process. Besides this, pH maintenance, lyophilization, and further submission for detailed physicochemical evaluation and characterization are done. The spectroscopic analysis, including UV-visible spectroscopy, fluorescence spectroscopy, and FTIR, confirmed the presence of surface functional groups and strong fluorescence properties and quantum yield calculations of the synthesized GCQDs. Microscopic and structural analyses using XRD, AFM, and TEM revealed the nanoscale, predominantly spherical morphology of the synthesized GCQDs. In addition, in vitro biological evaluations such as MTT assay and cellular uptake analysis were undertaken to evaluate cytocompatibility and intracellular distribution. We study the endocytosis pathway of these GCQDs, with size variations ranging from 3 to 5 nm, in mouse tissue-derived primary cells, tissues, and zebrafish embryos. GCQDs were internalized into mouse kidney and liver primary cells through a clathrin-mediated pathway. The findings confirmed that the produced GCQDs exhibit good water solubility, favorable biocompatibility, and significant potential as candidates for biomedical imaging applications.

Matching journals

The top 9 journals account for 50% of the predicted probability mass.

1
Nanoscale Advances
13 papers in training set
Top 0.1%
10.3%
2
ACS Applied Materials & Interfaces
39 papers in training set
Top 0.1%
10.0%
3
Advanced Functional Materials
41 papers in training set
Top 0.3%
8.3%
4
Nano Letters
63 papers in training set
Top 0.4%
6.3%
5
PLOS ONE
4510 papers in training set
Top 39%
3.6%
6
ACS Applied Bio Materials
21 papers in training set
Top 0.1%
3.5%
7
Advanced Biology
29 papers in training set
Top 0.1%
3.5%
8
ACS Nano
99 papers in training set
Top 1%
3.5%
9
ACS Biomaterials Science & Engineering
37 papers in training set
Top 0.3%
3.0%
50% of probability mass above
10
Scientific Reports
3102 papers in training set
Top 46%
2.6%
11
ACS Omega
90 papers in training set
Top 0.9%
2.6%
12
RSC Advances
18 papers in training set
Top 0.5%
1.9%
13
Biomaterials Advances
20 papers in training set
Top 0.3%
1.7%
14
Bioactive Materials
18 papers in training set
Top 0.4%
1.7%
15
Chemical Communications
24 papers in training set
Top 0.5%
1.7%
16
Advanced Healthcare Materials
71 papers in training set
Top 1%
1.5%
17
International Journal of Molecular Sciences
453 papers in training set
Top 10%
1.3%
18
ACS Sensors
45 papers in training set
Top 0.9%
1.3%
19
Sensors
39 papers in training set
Top 1%
1.3%
20
Materials Today Bio
18 papers in training set
Top 0.3%
1.3%
21
ChemBioChem
50 papers in training set
Top 0.8%
1.2%
22
Chemical Engineering Journal
10 papers in training set
Top 0.4%
1.2%
23
Small
70 papers in training set
Top 0.8%
1.1%
24
Life Sciences
25 papers in training set
Top 1.0%
0.9%
25
Journal of Nanobiotechnology
10 papers in training set
Top 0.2%
0.9%
26
Algal Research
20 papers in training set
Top 0.3%
0.9%
27
Biosensors and Bioelectronics
52 papers in training set
Top 1%
0.9%
28
Journal of Controlled Release
39 papers in training set
Top 0.8%
0.9%
29
ACS Infectious Diseases
74 papers in training set
Top 1%
0.9%
30
Langmuir
31 papers in training set
Top 0.4%
0.9%