Eu-doped carbon quantum dot as a selective probe for visualizing and monitoring sulfite in biological systems
Bo Kan
Li Li
Jiaoyu Hou3 - 1Department of Clinical Laboratory, The Second Hospital of Jilin University, Changchun, Jilin, China
- 2College of Chemistry, Jilin University, Changchun, Jilin, China
- 3Department of Geriatrics, The First Hospital of Jilin University, Changchun, Jilin, China
- 4Department of Ophthalmology, The Second Hospital of Jilin University, Changchun, Jilin, China
- 5Department of Emergency and Critical Care, The Second Hospital of Jilin University, Changchun, China
- 6Department of Anesthesiology, The Second Hospital of Jilin University, Changchun, Jilin, China
The detection of SO32− in complex environments and its visualization at the cellular level are critical for understanding its role in biological processes. In this study, we developed an Eu-doped long-wavelength fluorescent carbon quantum dot (CD2) and investigated the detection mechanism, interference effects and cellular imaging applications of the fluorescent probe CD2. The results show that the addition of SO32− induces an electronic rearrangement that restores CD2 to its original structure, leading to a rapid increase in fluorescence intensity. Selectivity experiments showed that CD2 has excellent selectivity to SO32−, with minimal interference from common anions. In addition, CD2 shows good biocompatibility for cellular imaging applications, as evidenced by the high cell viability observed in HeLa cells. Using confocal microscopy, we detected a significant enhancement of red fluorescence in HeLa cells after addition of exogenous SO32−, demonstrating the potential of CD2 as a probe for monitoring cellular SO32− levels. These findings highlight the promise of CD2 as a selective SO32− detection probe in complex environments and its utility in cellular imaging studies. Further studies are necessary to fully exploit the potential of CD2 in various biological and biomedical applications.
1 Introduction
The detection of intracellular sulfite ions (SO32−) is of great significance in the field of biomedical engineering (Tian et al., 2013; Wang et al., 2019; Li Q. et al., 2023). These ions play a critical role in various cellular processes and provide valuable insights into cell function and health. Accurate measurement of sulfite ions is crucial for disease diagnosis, drug development, and understanding the impact of environmental factors on cellular function (Maiti, 2022; Săcărescu et al., 2023).
Within cells, sulfite ions are generated through the oxidation of sulfur-containing amino acids, including cysteine and methionine. These ions are involved in critical intracellular processes such as protein folding, enzyme regulation, and antioxidant defense mechanisms (Buerman et al., 2021). By modulating cellular signaling pathways, sulfite ions influence gene expression and cellular responses to a wide range of stimuli.
Maintaining an appropriate balance of intracellular sulfite ions is essential for optimal cell health and functionality (Kimura et al., 2019). Imbalances in sulfite ion levels have been associated with the occurrence and progression of several diseases, including cardiovascular disorders, neurodegenerative diseases, and cancer (Zhang et al., 2004). Elevated sulfite concentrations can lead to oxidative stress and cell damage, as excess sulfite can react with reactive oxygen species (ROS) to form toxic compounds (Mitsuhashi et al., 2005). Conversely, abnormally low sulfite ion levels can disrupt cellular processes dependent on sulfite signaling, resulting in impaired antioxidant defenses and compromised cell function (Vincent et al., 2004).
Accurate measurement of intracellular sulfite ion concentrations is instrumental in biomedical research and applications. Sulfite ion detection enables the assessment of sulfite-related diseases, aids in diagnosis, and guides the development of targeted treatment approaches. Additionally, it provides a means to evaluate the impact of potential therapeutic compounds on sulfite-mediated signaling pathways, thereby contributing to advancements in drug development (Danışman et al., 2022; Guo et al., 2023).
Various techniques have been developed for the quantitative detection of intracellular sulfite ion levels (Zhang et al., 2016; Wang P. et al., 2021). Prominent examples include fluorescence-based detection methods (Fu et al., 2022), mass spectrometry analysis (Robbins et al., 2015), and electrochemical biosensors (Badihi-Mossberg et al., 2007). Fluorescent probes allow for real-time visualization and monitoring of sulfite ions within live cells, while mass spectrometry offers high sensitivity and accurate measurements. Electrochemical biosensors provide a simple and rapid detection method suitable for point-of-care applications.
In this study, we propose a novel approach for sulfite ion detection by synthesizing long-wavelength emission fluorescence carbon quantum dots (CD1). These CD1 dots, derived from pyridoxine (vitamin B6) as the carbon source and doped with Eu3+, possess exceptional properties such as low toxicity, high biocompatibility, and intense fluorescence (Li et al., 2021; Wareing et al., 2021; Ðorđević et al., 2022). To achieve sulfite ion detection, the CD1 dots are subjected to surface modification with pyruvic acid, which quenches their fluorescence through the photoinduced electron transfer (PET) effect (Sun et al., 2019; Allen et al., 2022), rendering them non-fluorescent (hereafter referred to as CD2). Upon reaction with sulfite ions, the removal of pyruvic acid from the surface of CD2 leads to a considerable fluorescence enhancement (Deng et al., 2019; Li W.-B. et al., 2023), enabling highly sensitive detection of sulfite ions (Scheme 1).
SCHEME 1. The demonstration diagram of the preparation of carbon dots and the process of SO32− detection.
Accurate measurement of sulfite ions is vitally important for disease diagnosis, drug development, and understanding the influence of environmental factors on cellular function. The proposed synthesis of long-wavelength emission fluorescence carbon quantum dots, coupled with surface modification, presents a promising approach for achieving sensitive and reliable detection of sulfite ions.
2 Materials and methods
2.1 Materials and instrumentation
Pyridoxine, EuCl3, Na2SO3 and other compounds were unpurified using commercially available standard chemicals. Deionized water used in the experiments was prepared in the laboratory.
Transmission electron microscopy (TEM) and high-resolution TEM (HRTEM) images of the CDs were recorded using a JEOL-2100F. Fourier transform infrared spectra (FTIR) were obtained using a Nicolet IS-10 FTIR spectrophotometer (Thermo Fisher Scientific). Fourier transform infrared spectra (FTIR) were obtained using a Nicolet IS-10 FTIR spectrophotometer (Thermo Fisher). X-ray photoelectron spectroscopy (XPS) was performed using an X-ray photoelectron spectrometer (AXIS ULTRA DLD). UV-vis absorption spectra were tested on an Agilent Cary 300 Scan. The zeta potential and hydrodynamic size of the samples were determined using a Zetasizer Nano ZS-90 analyzer (Malvern Instruments). Absolute QY and lifetimes were determined using a FLS1000 instrument (Edinburgh Instruments). Fluorescence spectra were obtained using an F97 Pro fluorescence spectrophotometer. Cells were imaged using a Leica TCS-SP8 confocal microscope.
2.2 Preparation of the CD1 and CD2
0.5 g of pyridoxine and 0.1 g of EuCl3 were dissolved in 40 mL of deionized water and sonicated for 10 min, then the solution was transferred to a 100 mL Teflon-lined stainless-steel autoclave. CD1 solution was obtained after cooling. To the CD1 solution 0.3 g of pyruvic acid was added, stirred well and returned to the reactor for secondary heating for 4 h (130°C). After cooling to room temperature, the reaction product was eluted with a mixture of dichloromethane and methanol (10:1) to give a bright red liquid CD2, which was dried by rotary evaporator. The dried solid was stored at 4°C in a dark place for future characterization and use.
2.3 Detection of SO32-
The fluorescence spectra of the samples were recorded after adding different concentrations of SO32− (1–25 μM) to the CD2 solution at 20 μg/mL.
2.4 Cytotoxicity assays and cell targeting
The cytotoxicity of CD2 was tested using WST-1. HeLa cells were cultured in 96-well plates at 104 cells per well. The culture medium consisted of 10% FBS, 100 U/mL penicillin-streptomycin solution and 90% RPMI 1640 medium. After 24 h of incubation, the medium was removed, fresh complete medium containing different concentrations of CD2 (dissolved in DMSO, 5 mg/mL) was added, and the cells were incubated for another 24 h. Finally, the medium was removed, and the cells were rinsed three times with PBS, and the viability of the cells was assessed by the WST-1 assay. Absorption was recorded for all plates using a microplate reader with a wavelength of 450 nm.
To assess the ability of CD2 to detect intracellular SO32−, HeLa cells were seeded into 35-mm glass-bottomed Petri dishes and cultured at 37°C in a humidified environment with 5% CO2. After 24 h of incubation, the initial medium was removed, and then 20 μg/mL of CD2 was added with 2 mL of fresh medium for another 6 h. An additional 25 μM of SO32− was added to the control experiments. Then, after rinsing the cells three times with PBS, the fluorescence images of the samples were observed using a laser fluorescence confocal microscope.
3 Results and discussion
3.1 Preparation and characterization of the CDs
CD1 was synthesized through a hydrothermal reaction using VB6 as the carbon source and Eu3+ as the dopant. CD1 possesses hydroxyl groups on its surface, which can be easily reacted with pyruvic acid through a two-step hydrothermal process. By utilizing the photoinduced electron transfer (PET) effect, the fluorescence of CD1 can be quenched. TEM analysis (Figure 1A) revealed that CD1 exhibited a regular spherical structure with a uniform size and single dispersion in water. The individual particle diameter was determined to be approximately 8 nm, which was further confirmed by DLS measurements (Figure 1B).
FIGURE 1. (A) TEM picture of CD1; (B) DLS particle size distribution; (C) IR spectra; (D) XPS analysis; (E) EDS elemental analysis.
The infrared spectrum of CD1 (Figure 1C) exhibited several characteristic peaks. The peak at around 750 cm−1 originated from the stretching vibration of Eu-O bonds, indicating the successful doping of Eu3+ into the CD1 structure. The peak at 1,240 cm−1 represented the stretching vibration of C=O and N-C=O bonds, while the peak at 1,396 cm−1 was attributed to the stretching vibration of C-N bonds and the bending vibration of N-O bonds. The peak at 1716 cm−1 indicated the presence of the C=C-CO bending vibration, suggesting the existence of conjugated olefin or aromatic ketone structures in CD1. The peak at 2,992 cm−1 represented the stretching vibration of C-H bonds and alkynyl groups. The peak at 3,423 cm−1 corresponded to the stretching vibration of O-H and N-H bonds, indicating the presence of hydroxyl and amino groups in CD1. X-ray photoelectron spectroscopy (XPS) analysis (Figure 1D) confirmed that CD1 primarily consisted of carbon (C), nitrogen (N), and oxygen (O), with a small amount of Eu (atomic percentage of 0.22%). Furthermore, energy-dispersive X-ray spectroscopy (EDS) elemental analysis (Figure 1E) provided additional confirmation that CD1 was composed of C, N, O, and Eu elements.
Overall, the results demonstrate the successful synthesis of CD1 with a well-defined structure and composition. The incorporation of Eu3+ as a dopant and the surface modification with pyruvic acid provide CD1 with favorable properties for sulfite ion detection.
3.2 Optical properties of carbon dots
The optical properties of the carbon dots are depicted in Figure 2. CD1 shows absorption throughout the visible light range, with a shoulder peak around 470 nm. Its emission peak is located at 650 nm, with an optimal excitation peak at 580 nm. In contrast, CD2 exhibits nearly no fluorescence, with emission intensity even less than 1/50th of CD1’s. Thus, CD1 displays bright red fluorescence under excitation, while CD2 exhibits minimal fluorescence (shown in the top left corner of the image). This indicates that the reaction of pyruvic acid with CD1 through the secondary hydrothermal process leads to the quenching of its fluorescence.
FIGURE 2. Absorption (black line), excitation (blue line) and emission (red line) spectra of CD1; emission (green line) of CD2.
The significant contrast in fluorescence between CD1 and CD2 provides the basis for the detection of sulfite ions. The presence of sulfite ions can cause the removal of pyruvic acid from the surface of CD2, restoring its fluorescence. This fluorescence enhancement can be utilized for sensitive and selective detection of sulfite ions. The changes in the optical properties of the carbon dots upon interaction with sulfite ions will allow for the quantification of sulfite ion concentrations in various biological and environmental samples.
3.3 Detection of SO32- in solution
The fluorescence-quenched CD2 has been utilized for highly sensitive detection of SO32−. A certain concentration of CD2 aqueous solution (20 μg/mL) was prepared, and different concentrations of SO32− (ranging from 1–25 µM) were added. As the concentration of SO32−- increased, the fluorescence intensity of the solution rapidly intensified. Even with the addition of 5 µM SO32−, the fluorescence intensity increased by more than six times. When 25 µM SO32− was added, the intensity increase slowed down, eventually reaching over 30 times the initial intensity (Figure 3A).
FIGURE 3. (A) Fluorescent spectra of the CD2 solution with the addition of different concentrations of SO32− at an excitation wavelength of 580 nm. (B) Time-dependent fluorescence intensity spectra of CD2 (20 μg/mL) at 650 nm in the presence of SO32− (25 µM). (C) The linear relationship between (F0/F—1) and the concentration of SO32− over the range of 1–25 µM. (D) The fluorescence intensity of CD2 (20 μg/mL) at 650 nm in the absence and presence of SO32− (25 µM) in various pH conditions (3.0–10.0). Incubation temperature: 37°C.
The fluorescence of the CD2 solution enhanced almost instantaneously upon the addition of SO32−, reaching stability within 2 min (Figure 3B). This indicates the high sensitivity of CD2 to SO32− and its potential as a rapid detection probe. Figure 3C displays the relationship between SO32− concentration and the fluorescence intensity of the CD2 solution. It shows good linearity within the range of 1–20 µM (R2 = 0.998), following equation F/F0—1 = 0.429 + 1.968x, where F represents the fluorescence intensity of the CD2 solution after the addition of SO32−, and F0 represents the initial fluorescence intensity of the CD2 solution.
To determine the limit of detection (LOD), the equation LOD = 3σ/S was used, in which σ is the standard deviation of the fluorescence intensity of the CD2 solution without the addition of SO32−, and S is the slope of the fitting line. Based on this calculation, the LOD was estimated to be approximately 0.15 µM, which is lower than both electrochemical and colorimetric methods, and at the same level as other fluorescent probes (Table 1). And the limit of quantification (LOQ) was calculated as 0.5 µM.
TABLE 1. Comparison with existing SO32− detection methods.
Meanwhile, the effect of pH on the detection process was considered. The probe CD2 itself is almost non-fluorescent at different pH values, and the detection of sulfites remains stable in the pH range of 7.0–10.0 (Figure 3D). The pH values of human sulfite metabolism sites are mainly between 7.0 and 8.5 (e.g., brain 7.1, heart 7.0–7.4, bile 7.8, liver 7.2, blood 7.3–7.45, pancreatic secretion 8.0–8.3, and bone 7.4) (Hashim et al., 2011; Yue et al., 2017), and therefore, CD2 is almost sufficient for the detection.
These results suggest that the quenching and recovery of fluorescence in CD2 can be effectively applied for the sensitive and selective detection of sulfite ions in solution. The high sensitivity, rapid response, and low limit of detection make CD2 a promising candidate for sulfite ion detection in various applications.
3.4 Mechanisms for the detection of SO32-
To gain insight into the detection mechanism of SO32−, we conducted tests on the particle size (Figures 4A, B) and surface potential (Figure 4C) of the solution before and after the reaction. Upon the addition of SO32−, the particle size of CD2 decreased from approximately 18 nm to around 10 nm, which is close to the average particle size of CD1. Additionally, the surface potential increased from +0.69 mV to +3.58 mV. These observations provide valuable information for proposing a possible detection mechanism for SO32− (Figure 4D).
FIGURE 4. (A) Particle size of CD2 before addition of SO32−; (B) Particle size of CD2 after addition of SO32−; (C) Zeta potential of CD2 before and after addition of SO32−; (D) Predicted detection mechanism.
In the two-step hydrothermal method, pyruvic acid is chemically modified onto the surface of CD1 through an ester linkage, resulting in the formation of CD2. The fluorescence of CD2 is quenched due to the photoinduced electron transfer (PET) effect. Upon the addition of SO32− to the CD2 solution, the oxygen atom in SO32− interacts with the aldehyde group of pyruvic acid. This interaction leads to electron rearrangement and the formation of a transition state involving the oxygen atom on the carbonyl carbon of the ester moiety. Finally, the transition state decomposes, breaking the ester bond and generating a sulfonate-substituted furanone derivative. As a result, CD2 is restored to the structure of CD1, and the fluorescence intensity rapidly increases.
Further investigations are necessary to fully understand the detailed mechanism of SO32− detection using CD2. Nevertheless, these preliminary findings provide important insights and a plausible explanation for the observed fluorescence enhancement upon the addition of SO32− in the CD2 solution.
3.5 Interference experiments
To assess the interference of other ions in the detection process of SO32−, we conducted experiments to test the effects of commonly encountered anions, such as Cl−, I−, NO3−, HCO3−, SO42−, AcO−, CN−, and H2PO4−, on the fluorescence of the CD2 solution. Figure 5 illustrates the results obtained.
FIGURE 5. Change in fluorescence intensity of CD2 solution after addition of interfering substances.
Upon adding 25 μM of Na+, K+, NH4+, Cl−, I−, NO3−, HCO3−, SO42−, and H2PO4− individually, the fluorescence intensity of the CD2 solution remained almost unchanged. Most of common cations and anions do not interfere with the detection, consistent with other research (Wang K. et al., 2021). Only CN− and AcO− caused a slight increase in fluorescence intensity, approximately three times higher. However, when comparing this increase to the 30-fold amplification observed with SO32−, it is negligible.
These findings indicate that CD2 exhibits exceptional selectivity for SO32−. The lack of interference from commonly encountered anions suggests that the detection of SO32− in complex environments holds promising potential for various applications.
3.6 Toxicity assays and cellular imaging applications of CD2
To assess the feasibility of using CD2 for cell imaging, a cell viability assay was conducted using the WST-1 reagent. The results demonstrated that the cell viability of HeLa cells remained above 90% when different concentrations of CD2 (ranging from 0 to 100 μg/mL) were added. This indicates that CD2 exhibits good biocompatibility for cell imaging purposes.
Subsequently, the potential application of CD2 in cell imaging was further explored using a Leica SP8 confocal microscope. The fluorescence changes of CD2 were studied at the cellular level by introducing exogenous SO32− into HeLa cells. Figure 6 illustrates the results obtained. As shown, a significant enhancement of red fluorescence was observed in HeLa cells following the addition of 20 μM of SO32−. This observation suggests that CD2 can effectively detect the level of SO32− in HeLa cells and has the potential to serve as a probe for cellular imaging applications.
FIGURE 6. Changes in fluorescence intensity of HeLa cells before and after addition of SO32− (scale bar: 25 μm).
These findings demonstrate the potential of CD2 for cellular imaging and highlight its ability to detect and monitor the levels of SO32− in living cells.
4 Conclusion
In conclusion, our study investigated the detection mechanism, interference effects, and potential applications of CD2 in the detection of SO32−. The results indicated that CD2 exhibits a promising detection mechanism, where the addition of SO32− leads to electron rearrangement and the restoration of CD2 to its original structure, resulting in a rapid increase in fluorescence intensity. Furthermore, CD2 demonstrated excellent selectivity for SO32−, as evidenced by minimal interference from commonly encountered anions.
To assess the biocompatibility of CD2 for cellular imaging applications, a cell viability assay exhibited high cell viability when different concentrations of CD2 were added to HeLa cells. This indicates that CD2 has good biocompatibility for cell imaging. Moreover, cellular imaging experiments using CD2 revealed its ability to detect and monitor the levels of SO32− in living cells, as manifested by a significant enhancement of red fluorescence upon the addition of exogenous SO32− to HeLa cells.
Overall, these findings suggest that CD2 holds promise as a probe for the detection of SO32− in complex environments and its application in cellular imaging. Further studies are warranted to explore the full potential and specific mechanisms of CD2 in various applications.
Data availability statement
The original contributions presented in the study are included in the article/supplementary material, further inquiries can be directed to the corresponding author.
Author contributions
BK: Conceptualization, Formal Analysis, Investigation, Methodology, Writing–original draft, Writing–review and editing. LL: Conceptualization, Formal Analysis, Writing–review and editing. JH: Conceptualization, Data curation, Formal Analysis, Writing–original draft. SL: Data curation, Formal Analysis, Software, Writing–original draft. ZT: Data curation, Investigation, Software, Writing–original draft. QS: Conceptualization, Funding acquisition, Writing–review and editing.
Funding
The authors declare that no financial support was received for the research, authorship, and/or publication of this article.
Conflict of interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Publisher’s note
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References
Allen, A. R., Noten, E. A., and Stephenson, C. R. J. (2022). Aryl transfer strategies mediated by photoinduced electron transfer. Chem. Rev. 122 (2), 2695–2751. doi:10.1021/acs.chemrev.1c00388
Badihi-Mossberg, M., Buchner, V., and Rishpon, J. (2007). Electrochemical biosensors for pollutants in the environment. Electroanal. Environ. 19 (19-20), 2015–2028. doi:10.1002/elan.200703946
Buerman, E. C., Worobo, R. W., and Padilla-Zakour, O. I. (2021). High pressure processing of heat and pressure resistant fungi as affected by pH, water activity, sulfites, and dimethyl dicarbonate in a diluted apple juice concentrate. Food Control. 120, 107551. doi:10.1016/j.foodcont.2020.107551
Dadamos, T. R. L., and Teixeira, M. F. S. (2009). Electrochemical sensor for sulfite determination based on a nanostructured copper-salen film modified electrode. Electrochimica Acta 54 (19), 4552–4558. doi:10.1016/j.electacta.2009.03.045
Danışman, B., Akçay, G., Gökçek-Saraç, Ç., Kantar, D., Aslan, M., and Derin, N. (2022). The role of acetylcholine on the effects of different doses of sulfite in learning and memory. Neurochem. Res. 47 (11), 3331–3343. doi:10.1007/s11064-022-03684-z
Deng, K., Wang, L., Xia, Q., Liu, R., and Qu, J. (2019). A turn-on fluorescent chemosensor based on aggregation-induced emission for cyanide detection and its bioimaging applications. Sensors Actuators B Chem. 296, 126645. doi:10.1016/j.snb.2019.126645
Ðorđević, L., Arcudi, F., Cacioppo, M., and Prato, M. (2022). A multifunctional chemical toolbox to engineer carbon dots for biomedical and energy applications. Nat. Nanotechnol. 17 (2), 112–130. doi:10.1038/s41565-021-01051-7
Fu, Y., Zhang, X., Liu, J., Qian, G., Xu, Z. P., and Zhang, R. (2022). Fluorescence detection and imaging of intracellular sulphite using a remote light activatable photochromic nanoprobe. J. Mater. Chem. B 10 (17), 3366–3374. doi:10.1039/D2TB00021K
Guo, J., Wang, W., Xie, S., Zhang, Y., Li, J., Xu, J., et al. (2023). Performance and mechanism of sulfite mediated oxidation of organic contaminants using iron(III) titanium oxide as catalyst. J. Environ. Chem. Eng. 11 (5), 110449. doi:10.1016/j.jece.2023.110449
Hashim, A. I., Zhang, X., Wojtkowiak, J. W., Martinez, G. V., and Gillies, R. J. (2011). Imaging pH and metastasis. Imaging P. H. metastasis 24 (6), 582–591. doi:10.1002/nbm.1644
Kimura, Y., Shibuya, N., and Kimura, H. (2019). Sulfite protects neurons from oxidative stress. Br. J. Pharmacol. 176 (4), 571–582. doi:10.1111/bph.14373
Li, Q., Yan, S., Song, H., Su, Y., Sun, M., and Lv, Y. (2023a). A simple and stable chemiluminescence resonance energy transfer system based on Ce(IV)-MOFs for detection of sulfite. Sensors Actuators B Chem. 376, 132990. doi:10.1016/j.snb.2022.132990
Li, S., Li, L., Tu, H., Zhang, H., Silvester, D. S., Banks, C. E., et al. (2021). The development of carbon dots: from the perspective of materials chemistry. Mater. Today 51, 188–207. doi:10.1016/j.mattod.2021.07.028
Li, W.-B., Wu, Y., Zhong, X.-F., Chen, X.-H., Liang, G., Ye, J.-W., et al. (2023b). Fluorescence enhancement of a metal-organic framework for ultra-efficient detection of trace benzene vapor. Angew. Chem. Int. Ed. Engl. 62 (24), e202303500. doi:10.1002/anie.202303500
Lu, W., Shu, J., Wang, Z., Huang, N., and Song, W. (2015). The intrinsic oxidase-like activity of Ag2O nanoparticles and its application for colorimetric detection of sulfite. Mater. Lett. 154, 33–36. doi:10.1016/j.matlet.2015.04.051
Maiti, B. K. (2022). Cross-talk between (Hydrogen)Sulfite and metalloproteins: impact on human health. Impact Hum. Health 28 (23), e202104342. doi:10.1002/chem.202104342
Mitsuhashi, H., Yamashita, S., Ikeuchi, H., Kuroiwa, T., Kaneko, Y., Hiromura, K., et al. (2005). Oxidative stress-dependent conversion of hydrogen sulfide to sulfite by activated neutrophils. Shock 24 (6), 529–534. doi:10.1097/01.shk.0000183393.83272.de
Robbins, K. S., Shah, R., MacMahon, S., and de Jager, L. S. (2015). Development of a liquid chromatography–tandem mass spectrometry method for the determination of sulfite in food. J. Agric. Food Chem. 63 (21), 5126–5132. doi:10.1021/jf505525z
Săcărescu, L., Chibac-Scutaru, A.-L., Roman, G., Săcărescu, G., and Simionescu, M. (2023). Selective detection of metal ions, sulfites and glutathione with fluorescent pyrazolines: a review. Environ. Chem. Lett. 21 (1), 561–596. doi:10.1007/s10311-022-01508-8
Sun, W., Li, M., Fan, J., and Peng, X. (2019). Activity-based sensing and theranostic probes based on photoinduced electron transfer. Accounts Chem. Res. 52 (10), 2818–2831. doi:10.1021/acs.accounts.9b00340
Tian, H., Qian, J., Sun, Q., Bai, H., and Zhang, W. (2013). Colorimetric and ratiometric fluorescent detection of sulfite in water via cationic surfactant-promoted addition of sulfite to α,β-unsaturated ketone. Anal. Chim. Acta 788, 165–170. doi:10.1016/j.aca.2013.06.020
Venkatachalam, K., Asaithambi, G., Rajasekaran, D., and Periasamy, V. (2020). A novel ratiometric fluorescent probe for “naked-eye” detection of sulfite ion: applications in detection of biological SO32− ions in food and live cells. Spectrochimica Acta Part A Mol. Biomol. Spectrosc. 228, 117788. doi:10.1016/j.saa.2019.117788
Vincent, A. S., Lim, B. G., Tan, J., Whiteman, M., Cheung, N. S., Halliwell, B., et al. (2004). Sulfite-mediated oxidative stress in kidney cells. Kidney Int. 65 (2), 393–402. doi:10.1111/j.1523-1755.2004.00391.x
Wang, K., Wang, W., Chen, S.-Y., Guo, J.-C., Li, J.-H., Yang, Y.-S., et al. (2021a). A novel Near-Infrared rhodamine-derivated turn-on fluorescence probe for sensing SO32− detection and their bio-imaging in vitro and in vivo. Dyes Pigments 188, 109229. doi:10.1016/j.dyepig.2021.109229
Wang, K.-N., Zhu, Y., Xing, M., Cao, D., Guan, R., Zhao, S., et al. (2019). Two-photon fluorescence probes for mitochondria imaging and detection of sulfite/bisulfite in living cells. Sensors Actuators B Chem. 295, 215–222. doi:10.1016/j.snb.2019.05.077
Wang, P., Zhang, Y., Liu, Y., Pang, X., Liu, P., Dong, W.-F., et al. (2021b). Starch-based carbon dots for nitrite and sulfite detection. Front. Chem. 9, 782238. doi:10.3389/fchem.2021.782238
Wareing, T. C., Gentile, P., and Phan, A. N. (2021). Biomass-based carbon dots: current development and future perspectives. ACS Nano 15 (10), 15471–15501. doi:10.1021/acsnano.1c03886
Yue, Y., Huo, F., Lee, S., Yin, C., and Yoon, J. (2017). A review: the trend of progress about pH probes in cell application in recent years. Analyst 142 (1), 30–41. doi:10.1039/C6AN01942K
Zhang, L.-J., Wang, Z.-Y., Cao, X.-J., Liu, J.-T., and Zhao, B.-X. (2016). An effective ICT-based and ratiometric fluorescent probe for sensing sulfite. Sensors Actuators B Chem. 236, 741–748. doi:10.1016/j.snb.2016.06.055
Keywords: fluorescent probe, selectivity, cellular imaging, sulfite detection, biocompatibility
Citation: Kan B, Li L, Hou J, Liu S, Tian Z and Sun Q (2023) Eu-doped carbon quantum dot as a selective probe for visualizing and monitoring sulfite in biological systems. Front. Bioeng. Biotechnol. 11:1292136. doi: 10.3389/fbioe.2023.1292136
Received: 11 September 2023; Accepted: 27 November 2023;
Published: 08 December 2023.
Edited by:
Yizhong Huang, Nanyang Technological University, SingaporeReviewed by:
Helena Maria Rodrigues Gonçalves, Chemistry and Technology Network (REQUIMTE), PortugalForough Ghasemi, Agricultural Biotechnology Research Institute of Iran, Iran
Copyright © 2023 Kan, Li, Hou, Liu, Tian and Sun. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.
*Correspondence: Qianchuang Sun, sunqianchuang@jlu.edu.cn