journal article·2025-10-03Open access

Nitrogen-Doped Carbon Quantum Dot Nanoparticle Fluorescent Probes for Quantification of Ni(II) in Environmental Water Samples Collected using an Unmanned Aerial Vehicle

João Paulo de Almeida, Jackson Rodrigo Silva, José Roberto Sabino-Júnior, Vinícius A. Carvalho, Willian Toito Suarez, Miguel M. Erenas, Luis Fermin Capitán-Vallvey, Severino Carlos Oliveira, Vagner Bezerra dos Santos

ACS Applied Nano Materials· Volume 8· Issue 39

Abstract

High Resolution Image Download MS PowerPoint Slide In this work, an innovative and low-cost method was developed to quantify Ni(II) ions in environmental water samples based on fluorescence digital images from quantum dots using a smartphone as a detector. The method is based on the fluorescence quenching of nitrogen-doped carbon dots (N,C-QDs) when nickel reacts with dimethylglyoxime. The fluorescence emission from nanoparticles is captured by a smartphone coupled to a portable UV-LED chamber. An analytical curve was developed to detect Ni(II), and a concentration range from 10.9 to 275.0 μg L –1 with detection and quantification limits of 2.7 and 8.3 μg L –1, respectively. Thus, the method attempted the recommended values of Ni(II) according to agencies such USEPA (100 μg L –1 ), WHO (70 μg L –1 ), EFSA (20 μg L –1 ), and CONAMA (25 μg L –1 ) for fresh waters. Moreover, to evaluate the accuracy and precision of the proposed method, a reference method based on inductively coupled plasma-optical emission spectrometry was used for comparison purposes. The results obtained by both methods showed no differences at a 95% confidence level ( n = 3) when employing the F-test and T-test statistical methods. Furthermore, the fluorescence digital image-based (FDIB) method was highly selective for Ni(II) ions with an interference response lower than 5.0%, and it presented a good recovery from 93.6 to 109.0%. Moreover, aiming to develop a high-level automation method for environmental monitoring, an adapted unmanned aerial vehicle (UAV) controlled by a smartphone via Wi-Fi, equipped with a micropump and a miniaturized solenoid valve powered by a solar energy system, was developed. This innovation reduced collection time, allowed access to hard-to-reach locations, and reduced sampling costs by using renewable energy, thus being environmentally friendly. This new analytical method using N,C-QDs-FDIB-UAV proposed for monitoring Ni(II) in environmental water samples offers numerous advantages, such as high sensitivity, selectivity supplied by nanoparticle probe together the portability, low cost, autonomous, and an eco-friendly methodology obtained from the UAV system.
Source: openalex_inverted_index · Quality: baseline

Research context

OpenAlex topics: Carbon and Quantum Dots Applications · Mercury impact and mitigation studies · Advanced biosensing and bioanalysis techniques

SciVX discovery tags are terminology-based. OpenAlex topics are source-provided classifications.

Affiliations

LIA3-Applied Analytical Instrumentation Laboratory, Department of Fundamental Chemistry, Federal University of Pernambuco, Av. Journalist Anibal Fernandes, S/N, University City, Recife, PE 50740-560, Brazil

Department of Chemistry, Federal University of Viçosa, Av. Peter Henry Rolfs S/N, Viçosa, MG 36570-000, Brazil

Department of Analytical Chemistry, ECSens, University of Granada, Av. del Hospicio, 1, Albaicín, Granada 18012, Spain

Department of Chemistry, Federal Rural University of Pernambuco, Dom Manuel de Medeiros Street, S/N, Two Brothers, Recife, PE 52171-900, Brazil

Funding

Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco · Conselho Nacional de Desenvolvimento Científico e Tecnológico · Coordenação de Aperfeiçoamento de Pessoal de Nível Superior

References (70)

Show source-provided references
1. 10.1016/j.comptc.2017.05.02210.1016/j.comptc.2017.05.022 ↗
2. 10.1111/ejss.1320310.1111/ejss.13203 ↗
3. 10.1177/096032711666665010.1177/0960327116666650 ↗
4. 10.1007/978-981-16-7152-4_1810.1007/978-981-16-7152-4_18 ↗
5. 10.1007/s10534-014-9791-y10.1007/s10534-014-9791-y ↗
6. CONAMA. National Environmental Council https://conama.mma.gov.br/?option=com_sisconama&task=arquivo.download&id=450
7. WHO Nickel in Drinking-water; World Health Organization https://cdn.who.int/media/docs/default-source/wash-documents/wash-chemicals/nickel-background-document.pdf?sfvrsn=90644b9f_9
8. EFSA Update of the risk assessment of nickel in food and drinking water; European Food Safety Authority https://efsa.onlinelibrary.wiley.com/doi/10.2903/j.efsa.2020.6268
9. USEPA. (U.S. Environmental Protection Agency) Development, Environmental Criteria and Assessment office. Ambient Water Quality Value for Protection of Sources of Potable Water. https://www.epa.gov/sites/default/files/2015-06/documents
10. 10.1016/S0039-9140(02)00639-210.1016/S0039-9140(02)00639-2 ↗
11. 10.1039/c3ay40350e10.1039/c3ay40350e ↗
12. 10.1016/S0039-9140(00)00552-X10.1016/S0039-9140(00)00552-X ↗
13. 10.1039/D2AY00678B10.1039/D2AY00678B ↗
14. 10.1016/j.carbon.2020.11.03010.1016/j.carbon.2020.11.030 ↗
15. 10.1016/j.cartre.2023.10027610.1016/j.cartre.2023.100276 ↗
16. 10.1016/j.microc.2022.10750010.1016/j.microc.2022.107500 ↗
17. 10.3390/ma1404072910.3390/ma14040729 ↗
18. 10.1016/S1872-5805(22)60644-910.1016/S1872-5805(22)60644-9 ↗
19. 10.1063/5.004032210.1063/5.0040322 ↗
20. 10.1016/j.jece.2022.10741310.1016/j.jece.2022.107413 ↗
21. 10.1021/acsabm.0c0092310.1021/acsabm.0c00923 ↗
22. 10.1039/C9TC01640F10.1039/C9TC01640F ↗
23. 10.1016/j.snb.2018.07.07310.1016/j.snb.2018.07.073 ↗
24. 10.1016/j.microc.2022.10758510.1016/j.microc.2022.107585 ↗
25. 10.1002/anbr.20200004210.1002/anbr.202000042 ↗
26. 10.3389/fchem.2021.66916910.3389/fchem.2021.669169 ↗
27. 10.1021/acsami.5b1016010.1021/acsami.5b10160 ↗
28. 10.1016/j.nanoso.2021.10070610.1016/j.nanoso.2021.100706 ↗
29. 10.1016/j.talanta.2021.12264610.1016/j.talanta.2021.122646 ↗
30. 10.1007/s10895-024-04062-410.1007/s10895-024-04062-4 ↗
31. 10.1016/j.carbon.2016.01.02910.1016/j.carbon.2016.01.029 ↗
32. 10.1016/j.microc.2021.10639110.1016/j.microc.2021.106391 ↗
33. 10.1016/j.microc.2024.11122810.1016/j.microc.2024.111228 ↗
34. 10.1016/j.microc.2020.10498610.1016/j.microc.2020.104986 ↗
35. 10.1039/D4SD00196F10.1039/D4SD00196F ↗
36. 10.1039/D0AN00750A10.1039/D0AN00750A ↗
37. 10.1016/j.microc.2023.10850810.1016/j.microc.2023.108508 ↗
38. 10.1016/j.foodcont.2021.10795610.1016/j.foodcont.2021.107956 ↗
39. 10.1039/C8AY01973H10.1039/C8AY01973H ↗
40. 10.1039/C5AY01372K10.1039/C5AY01372K ↗
41. 10.1002/jctb.761810.1002/jctb.7618 ↗
42. 10.1016/j.foodchem.2020.12780010.1016/j.foodchem.2020.127800 ↗
43. 10.1016/j.marpolbul.2025.11816410.1016/j.marpolbul.2025.118164 ↗
44. 10.1016/j.scitotenv.2022.15387510.1016/j.scitotenv.2022.153875 ↗
45. 10.1080/17480930.2018.154952610.1080/17480930.2018.1549526 ↗
46. 10.1016/j.talo.2022.10013210.1016/j.talo.2022.100132 ↗
47. 10.1039/D3AY01088K10.1039/D3AY01088K ↗
48. 10.21577/0100-4042.2017089210.21577/0100-4042.20170892 ↗
49. 10.1016/j.nantod.2015.09.00210.1016/j.nantod.2015.09.002 ↗
50. 10.3390/nano1321286910.3390/nano13212869 ↗
51. 10.1016/j.snb.2018.08.08910.1016/j.snb.2018.08.089 ↗
52. 10.1007/s10895-021-02852-810.1007/s10895-021-02852-8 ↗
53. 10.1016/j.inoche.2025.11420610.1016/j.inoche.2025.114206 ↗
54. 10.1016/j.rio.2024.10060610.1016/j.rio.2024.100606 ↗
55. 10.1016/j.snb.2017.08.13010.1016/j.snb.2017.08.130 ↗
56. 10.1016/j.diamond.2025.11256410.1016/j.diamond.2025.112564 ↗
57. 10.1007/s10230-016-0402-810.1007/s10230-016-0402-8 ↗
58. 10.1016/j.aca.2021.33897710.1016/j.aca.2021.338977 ↗
59. 10.1016/j.jtemin.2024.10013010.1016/j.jtemin.2024.100130 ↗
60. 10.1016/0022-1902(65)80208-110.1016/0022-1902(65)80208-1 ↗
61. 10.1007/s12633-020-00814-610.1007/s12633-020-00814-6 ↗
62. 10.1016/j.jphotochem.2021.11332310.1016/j.jphotochem.2021.113323 ↗
63. 10.1016/j.talanta.2014.04.08510.1016/j.talanta.2014.04.085 ↗
64. 10.1021/acsanm.5c0087210.1021/acsanm.5c00872 ↗
65. 10.1016/j.molliq.2025.12735110.1016/j.molliq.2025.127351 ↗
66. 10.1021/acsomega.1c0019010.1021/acsomega.1c00190 ↗
67. 10.1016/j.ica.2017.05.02410.1016/j.ica.2017.05.024 ↗
68. 10.1007/s00216-019-02032-510.1007/s00216-019-02032-5 ↗
69. 10.1021/acs.analchem.0c0188710.1021/acs.analchem.0c01887 ↗
70. 10.1002/cbdv.20240324810.1002/cbdv.202403248 ↗