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Selective detection of folate and analogs employing highly luminescent manganese-nitrogen co-doped carbon quantum dots: a fluorimetric turn-off strategy

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Abstract

Facile detection of folate and analog by following the luminescence quenching of newly synthesized manganese-nitrogen co-doped carbon dots has been highlighted. Here, we devised, for the first time, water-dispersible manganese-nitrogen co-doped carbon dots from branched polyethyleneimine, manganese chloride, and citrate. The developed quantum dots emit bright blue fluorescence with a quantum yield of ~ 0.37. These show sensitive and selective fluorescence quenching by folates with a low limit of detection. The real samples with folate yield reproducible results, and coexistent molecules other than those belonging to the folate family did not cause any detectable change in the luminescence of quantum dots. Hence, the developed manganese-nitrogen co-doped carbon dots–based sensing strategy can offer a convenient and label-free protocol for the detection and quantification of folates in real samples and microorganisms.

Graphical Abstract

Highly luminescent Mn-, N-CQDs show fluorometric sensitivity toward folic acid in real food sample.

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All the data presented in this paper are complete set and these are not part of any other unpublished work.

Abbreviations

Mn-, N-CQDs:

Manganese-nitrogen co-doped carbon dots

PEI:

Branched polyethyleneimine

PL:

Photoluminescence

Mn:

Manganese

QY:

Quantum yield

CDs:

Carbon dots

FA:

Folate

MTX:

Methotrexate

UA:

Uric acid

Gus:

Guanosine

AA:

L-ascorbic acid

Glu:

Glutathione

Cys:

L-cystine

Try:

Tryptophan

OA:

Oxalic acid

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Acknowledgements

M. H. thanks IIT Kharagpur for financial support. H.S. thanks DST-INSPIRE for his fellowship. We thank Prof. N. Sarkar for help in DLS experiments and also Prof. N. D. Pradeep Singh for HPLC measurements.

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Singh, H., Halder, M. Selective detection of folate and analogs employing highly luminescent manganese-nitrogen co-doped carbon quantum dots: a fluorimetric turn-off strategy. J Nanopart Res 25, 92 (2023). https://doi.org/10.1007/s11051-023-05721-6

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