DOI:
10.1039/D5LP00287G
(Paper)
RSC Appl. Polym., 2026, Advance Article
Harnessing 1,8-Naphthalimide based amide capped with Pluronic F127 micelles for the detection of chlorpyrifos methyl and erythrosine B
Received
15th September 2025
, Accepted 2nd January 2026
First published on 21st January 2026
Abstract
Considering the detrimental effects of chlorpyrifos methyl (CPS methyl) and erythrosine B on living organisms, it is crucial to detect their presence even at trace levels. For this, a binary ensemble, NPOH@PF127, was developed by encapsulating the 1,8-naphthalimide-based amide NPOH in the hydrophobic core of micelles of the block copolymer Pluronic F127. Structural and chemical properties of this binary ensemble were scrupulously investigated using various analytical techniques such as DLS, HRTEM, EDX, elemental mapping, SAED, PXRD, FT-IR spectroscopy, TGA, DSC, DTG, XPS and optical spectroscopy. The sensor exhibited significant enhancement and quenching of fluorescence intensity upon interaction with CPS methyl (LOD = 1.28 µM) and erythrosine B (LOD = 0.18 µM), respectively, with corresponding linear detection ranges of 4.22–1500 µM and 0.59–138 µM. Moreover, NPOH@PF127 accurately detected CPS methyl and erythrosine B in grape juice and watermelon juice, with excellent recoveries in the range of 96% to 110%. Given the high stability, quick response, high sensitivity and selectivity of NPOH@PF127, it can be utilized for making portable test kits and thus contribute to refined environmental and food safety monitoring.
1. Introduction
Organophosphorus pesticides, esters of phosphoric acid derivatives, have been designated as pivotal crop defensive agents due to their high efficacy for pest control; however, their overuse has become a serious global concern in recent years due to their severe harmful effects on the human health and environment because of their ability to leave residues and contaminants on various agricultural products they are being sprayed or sprinkled upon.1 CPS methyl is an extensively used non-systemic organophosphate pesticide, which is effective against bollworm, leafhopper, aphid, mite and a variety of other pests.2 CPS methyl has been classified as a class II moderate toxicity pesticide by the World Health Organization (WHO) and is found in one-third of conventionally grown citrus fruits.2 Long-term exposure of food commodities to CPS methyl may lead to increased chances of their entry into the food chain and thus cause serious ailments in living organisms.3 In humans, CPS methyl undergoes complexation with the active site of the neuroenzyme acetylcholinesterase, leading to inhibition in its activity in erythrocytes and the brain, causing adverse effects on the nervous system. Other detrimental effects caused by CPS methyl include oxidative stress, cardiovascular diseases, endocrine disruption, hematological malignancies, histopathological aberrations, immunotoxicity, genotoxicity and developmental and behavioural anomalies.4 Considering its high toxicity, many governments have made efforts to limit its application in farming by assigning a maximum residue limit (MRL).5
It is an age-old practice to add food colorants to food products in order to make them visually appealing to customers. The origin of food colorants can be natural or synthetic; however, synthetic colorants are preferred over the natural ones as the former are easy to synthesize, cost-effective, highly stable and offer potent tinting.6 Erythrosine B (2-(6-hydroxy-2,4,5,7-tetraiodo-3-oxo-xanthen-9-yl) benzoic acid), a pink polyiodinated xanthene dye, is globally added to food products, pharmaceuticals and cosmetics as it has high antioxidant potential and stability and low cost.7 However, due to its polyhalogenated structure, immoderate consumption of erythrosine B causes many health risks such as behavioural disturbances, allergies, renal disorders, thyroid disorders, asthma, bronchitis, hemolytic disorder, anemia, cancer, DNA damage and neurotoxicity in humans and animals. Moreover, the health issues are more pronounced in children as their bodies are weaker as compared to adults.8 Keeping in mind the adverse effects of the excessive use of erythrosine B, the Food and Drug Administration (FDA) has restricted its consumption to an acceptable daily intake (ADI) of 0.0–0.1 mg per kg body weight per day.9
Bearing in mind the notorious effects of CPS methyl and erythrosine B on living beings, it is essential to detect them even at minute levels. Already existing techniques for their detection include chromatographic techniques, such as high-performance liquid chromatography (HPLC), gas chromatography (GC), and other techniques like surface enhanced Raman spectroscopy (SERS), electrochemical method, photoelectrochemical method, immunosensor method, ion mobility spectroscopy, mass spectrometry, nuclear quadruple resonance spectroscopy, capillary electrophoresis (CE) and solid phase extraction (SPE).10–21 Undoubtedly, these techniques may achieve high detection sensitivities, but these generally involve bulky instrumentation, exorbitant methodologies, multiple sample processing steps, professional operators and longer analysis time. These shortcomings make them difficult to meet the high-throughput, rapid and on-site detection requirements.22 Optical spectroscopic techniques, such as UV-vis and fluorescence spectroscopy, are beneficial over the aforementioned techniques as these are comparatively simple to operate, cost-effective and offer rapid visual response with high sensitivity and selectivity.23–25
Many optical sensors, such as organic compounds, molecularly imprinted polymers, metal nanoparticles, carbon dots, and organic nanoparticles, have been employed for the detection of organophosphate pesticides; however, a very limited number of optical chemosensors have been reported for the sensing of erythrosine B.26–29 Among these, organic compound-based sensors are of significant importance as they are structurally versatile and it is easier to modify their photophysical properties by slight structural changes.30 But the major issue associated with organic compound-based sensors is their limited applicability in aqueous medium (a prerequisite for real sample analysis) due to their hydrophobic nature.31 Some of the efforts by various researchers over the years to enhance the hydrophilicity of organic compounds include encapsulation of organic compounds in the hydrophobic core of micelles of suitable materials, such as surfactants and polymers, formation of small molecule-based organic nanoparticles and silica cross-linked micellar nanoparticles.32–35 Among the various materials used for the encapsulation of organic compounds, Pluronic F127 (PF127), a Food and Drug Administration (FDA) approved non-ionic block copolymer, has garnered significant attention as it is non-toxic, non-irritant, biocompatible, thermo reversible and cost effective.36 PF127 is a triblock copolymer consisting of hydrophobic polypropylene oxide (PPO) as the central unit and hydrophilic polyethylene oxide (PEO) as two terminal units.37 In aqueous environments, PF127 spontaneously forms nanoscale micelles, with the hydrophobic PPO segments creating the inner core for loading hydrophobic molecules, while the hydrophilic PEO chains stabilize the outer shell and prevent micelle coalescence.38 Apart from improving solubility, encapsulating sensors in PF127 micelles offers several advantages over their free forms. The micellar environment supports hydrophobic probes by preventing aggregation, enhancing colloidal stability, protecting against premature degradation to improve photostability, and reducing cytotoxicity for safer biological use.39–41 Moreover, the nanoscale micellar structure provides a high surface-to-volume ratio, improved diffusion kinetics, and a confined hydrophobic core, facilitating efficient probe–analyte interactions, reducing background interference, and enhancing sensitivity, reproducibility, and overall sensor performance compared to free systems. Additionally, the small size of nanoscale micelles and the stealth properties of the PEO corona prolong the circulation time and allow passive tumor targeting via the enhanced permeability and retention effect, making encapsulated sensors more suitable for bioimaging and in vivo sensing applications.42–44 Collectively, these features make PF127-encapsulated sensors more sensitive, stable, and versatile than their free molecular counterparts.
In this work, a 1,8-naphthalimide-based amide (NPOH) was synthesized considering the well-known photophysical advantages of the 1,8-naphthalimide core, including red/infrared emission, large Stokes shift, high quantum yield, and strong two-photon absorption cross-section.45 To overcome its intrinsic hydrophobicity, a binary ensemble, NPOH@PF127, was fabricated by encapsulating NPOH within the hydrophobic core of PF127 micelles. This hybrid design combines the tunable fluorescence and sensing versatility of naphthalimide dyes with the biocompatibility, aqueous solubilization, and self-assembly properties of PF127. Unlike conventional 1,8-naphthalimide sensors used mainly in homogeneous media or polymer matrices, the PF127 micellar environment enhances solubility, stability, and microenvironment-induced modulation of fluorescence.45 Conversely, while PF127 is widely employed for solubilization and drug delivery, it inherently lacks sensing capability; loading NPOH introduces strong, responsive fluorescence into the platform. As a result, the NPOH@PF127 ensemble exhibits improved optical performance, high sensitivity and selectivity, and reliable operation in aqueous media, enabling effective differential sensing of CPS methyl and erythrosine B in grape and watermelon juices, respectively. This synergistic integration offers sensing advantages unattainable with either component alone and represents a hybrid approach for real sample analysis.
2. Experimental
2.1. Materials
All chemicals, such as 4-bromo-1,8-naphthalic anhydride, N-butyl amine, ethylene diamine, 1-hydroxy-2-naphthoic acid, 1-[bis(dimethylamino)methylene]-1H-1,2,3-triazolo[4,5-b]pyridinium 3-oxide hexafluorophosphate (HATU), Pluronic F-127 (PF127), 4-(2-hydroxyethyl)piperazine-1-ethanesulfonic acid (HEPES), chloroform, dichloromethane (DCM), anhydrous sodium sulfate, ethanol (EtOH), methanol, dimethyl sulfoxide (DMSO), acetonitrile (ACN), pyridine, CPS methyl, glufosinate, glyphosate, imidacloprid, malathion, paraquat, thiomethoxam, diethyl chlorophosphate (DCP), diethyl cyanophosphonate (DCNP), triphosgene, erythrosine B, Allura red, amaranth, methylene blue, methyl orange, glucose, sucrose, lactose, maltose, citric acid, ascorbic acid, sodium chloride (NaCl), salts of metal ions and anions viz. Cd2+, Co2+, Mn2+, Pb2+, Cr3+, HSO4−, ClO4−, H2PO4−, SO42−, F−, Cl−, Br− and I−, were purchased from commercial suppliers and were used without any further purification.
2.2. Methods
High-resolution transmission electron microscopy (HRTEM). For recording HRTEM images, elemental mapping and selected area electron diffraction (SAED) patterns, the HRTEM-Hitachi H7500 electron microscope was employed. Samples were drop-cast on carbon-coated copper grids and air-dried prior to imaging.
Energy dispersive X-ray (EDX) spectroscopy. EDX spectroscopy was recorded using a FESEM-Hitachi SU8010 at an accelerating voltage of 15 kV. For EDX measurements, samples were mounted on an aluminium SEM stub using double-sided carbon adhesive tape, followed by gold sputter-coating prior to analysis.
Dynamic light scattering (DLS). To obtain the hydrodynamic diameter, DLS measurements were performed on a Malvern Zetasizer (Ver. 7.11) at 25 °C using water as the dispersion medium, and samples were filtered through a 0.2 µm syringe filter before measurement. Each sample was analyzed in triplicate to ensure reproducibility.
Nuclear magnetic resonance (NMR) and Fourier transform infrared (FT-IR) spectroscopies. 1H and 13C NMR spectra were recorded on a Bruker AVANCE NEO 500 MHz spectrometer using DMSO-d6 or CDCl3 as a solvent, depending on the solubility of the compounds. Chemical shifts are reported in ppm relative to TMS, and spectra were acquired at 298 K. FT-IR spectra were obtained using a Bruker Alpha FT-IR spectrophotometer in the ATR mode with a spectral range of 4000–400 cm−1.
Mass spectrometry. High-resolution mass spectrometry (HRMS) and liquid chromatography-mass spectrometry (LC-MS) analyses were performed on a SYNAPT XS instrument operated in ESI (positive) mode.
X-ray diffraction studies. Powder X-ray diffraction (PXRD) patterns were acquired on an Empyrean diffractometer (Malvern Panalytical) using Cu-Kα radiation (λ = 1.5406 Å), operated at 40 kV and 40 mA, with a scan rate of 0.02° s−1 over the 2θ range of 5–80°.
Thermal studies. Thermogravimetric analysis (TGA), differential thermogravimetric analysis (DTG) and differential scanning calorimetry (DSC) were conducted using an SDT Q600 V20.9 Build 20 instrument under nitrogen atmosphere (flow rate: 50 mL min−1) at a heating rate of 10 °C min−1 from 25 to 800 °C.
X-ray photoelectron spectroscopy (XPS) measurements. X-ray photoelectron spectroscopy (XPS) measurements were carried out on a Nexsa Base Thermo Fisher Scientific instrument using monochromatic Al Kα radiation (1486.6 eV). All spectra were charge-corrected using the C 1s peak at 284.8 eV.
Optical studies. UV–vis absorption spectra were recorded using a JASCO UV-750 spectrophotometer with samples prepared in aqueous medium using quartz cuvettes (1 cm path length) at 25 °C. Fluorescence spectra were recorded on a Hitachi F-7000 spectrofluorometer equipped with a 220–240 V xenon lamp, with excitation and emission slit widths typically set to 5 and 10 nm, respectively.
Fluorescence lifetime studies. Fluorescence lifetime measurements were performed using an Edinburgh FLS-1000-XS-T spectrometer. Samples were measured in a standard holder suitable for liquid samples, and lifetime data were acquired using time-correlated single photon counting (TCSPC) mode and processed using the instrument's software.
2.3. Synthesis of NPOH
Compounds 2 and 3 were synthesized as per the previously reported methodologies,46,47 with modifications shown in Scheme 1. Methods for the synthesis of 1 and 2, their characterization data and spectra (1H NMR, 13C NMR and LCMS) are given in SI as Fig. S1–S6.
 |
| | Scheme 1 Protocol for the synthesis of NPOH. | |
Synthesis of N-(2-((2-butyl-1,3-dioxo-2,3-dihydro-1H-benzo[de]isoquinolin-6-yl)amino)ethyl)-1-hydroxy-2-naphthamide, NPOH. A mixture of 1-hydroxy-2-naphthoic acid (0.3 g, 1.6 mmol) and HATU (0.7 g, 1.9 mmol) in pyridine (10 mL) was stirred at 0 °C for 30 min. Further, compound 3 (0.5 g, 1.6 mmol) was added to the reaction mixture, and stirring was carried out at room temperature. After completion of the reaction (24 h), the reaction mixture was poured into water and extracted with chloroform (3 × 100 mL). The organic layer was dried over anhydrous sodium sulfate and concentrated under reduced pressure. The crude product thus obtained was washed with methanol to get the pure product, NPOH. Yellow solid; 87% yield; m.p. (°C) = 390–394; 1H NMR (500 MHz, DMSO-d6) δ ppm: 14.46 (s, 1H, –OH), 9.22 (s, 1H, –NH amide), 8.65 (d, 1H, Ar–H, J = 8.0 Hz), 8.44 (d, 1H, Ar–H, J = 6.95 Hz), 8.31–8.26 (m, 2H, Ar–H), 7.95 (s, 1H, –NH), 7.86 (d, 1H, Ar–H, J = 8.1 Hz), 7.83 (d, 1H, Ar–H, J = 8.9 Hz), 7.70 (t, 1H, Ar–H, J1 = 7.95 Hz, J2 = 7.75 Hz), 7.63 (t, 1H, Ar–H, J1 = 7.0 Hz, J2 = 7.55 Hz), 7.55 (t, 1H, Ar–H, J1 = 7.5 Hz, J2 = 7.3 Hz), 7.38 (d, 1H, Ar–H, J = 10.75 Hz), 6.96 (d, 1H, Ar–H, J = 8.6 Hz), 4.01 (t, 2H, –CH2, J1 = 7.35 Hz, J2 = 7.45 Hz), 3.68 (s, 4H, 2 × –CH2), 1.62–1.56 (m, 2H, –CH2), 1.37–1.30 (m, 2H, –CH2), 0.92 (t, 3H, –CH3, J1 = 7.35 Hz, J2 = 7.4 Hz); 13C NMR (500 MHz, DMSO-d6) δ ppm: 170.81, 163.61, 162.79, 150.43, 135.71, 134.01, 129.30, 128.71, 128.36, 127.32, 125.62, 124.29, 122.91, 121.91, 120.14, 107.89, 106.93, 103.68, 29.71, 19.71, 13.63; FT-IR (cm−1): 3461 (νO–H str.), 3334 (νN–H str.), 3038 (νC–H str., aromatic), 2933 (ν
C–H str.), 2840 (νC–H str., aliphatic), 1755 (νC
O str.), 1657 (νC
N str.), 1344 (νC–N str.); HRMS: m/z calculated for C29H27N3O4 [M+] = 481.55, found = 482.20 [M + H+]. 1H NMR, 13C NMR, FT-IR and HR-MS spectra of NPOH have been displayed in Fig. S7–S10.
2.4. Synthesis of NPOH@PF127
A mixture of NPOH (2 mg) and PF127 (80 mg) in 10 mL DCM was sonicated for 20 min, followed by solvent evaporation under reduced pressure. The product so obtained was dried in a desiccator for 12 h, hydrated with 10 mL deionized water and sonicated for 20 min (Fig. 1). The solution was then filtered through a 0.2 µm filter to remove unloaded NPOH.37 The NPOH@PF127 dispersed in HEPES buffer (10 mM, pH = 7.0) or freeze-dried solid was used for further characterization and application. HEPES buffer, which is effective in providing stable conditions in the near neutral pH range (7.0–7.2), was selected owing to its non-toxic nature, robust pH stability at working concentrations and chemically inert environment. In contrast to PBS, HEPES exhibits markedly lower ionic interference, minimal background fluorescence and enhanced nanomaterial stability, thereby offering clear advantages for sensitive optical and nanomaterial-based sensing.48–50
 |
| | Fig. 1 Protocol for the synthesis of NPOH@PF127. | |
2.5. Preparation of samples
A 0.01 M stock solution of NPOH in DMSO and 0.01 M stock solutions of CPS methyl, glufosinate, glyphosate, imidacloprid, malathion, paraquat, and thiamethoxam were prepared in EtOH. 0.1 M stock solutions of DCP, DCNP, triphosgene and tetrabutylammonium salts of anions (HSO4−, ClO4−, H2PO4−, SO42−, F−, Cl−, Br−, and I−) were prepared using ACN. 5 mM stock solutions of food dyes (erythrosine B, Allura red, amaranth, methylene blue, methyl orange), 0.1 M stock solutions of metal ions (Cd2+, Co2+, Mn2+, Pb2+, and Cr3+), sugars (glucose, sucrose, lactose, and maltose), citric acid and ascorbic acid were prepared in deionized water. Aliquots of these analytes were added to the 2 mL solution of NPOH@PF127, and spectroscopic scans were recorded.
2.6. Real sample analysis
To evaluate the practical utility of the proposed sensor NPOH@PF127, it was utilized for the detection of CPS methyl and erythrosine B in grape juice and watermelon juice. The juice was extracted from the pulp of fresh grapes and watermelon samples, followed by centrifugation to remove the coarse pulp and insoluble matter. The juices were then diluted 10 times with deionized water to reduce matrix complexity, decrease viscosity and minimise interference from endogenous pigments and polyphenols. The diluted samples were then adjusted to pH 7.0 to match the optimised sensing conditions of NPOH@PF127 and subsequently filtered through a 0.22 µm membrane to eliminate residual particulates. The filtered grape and watermelon juice samples were spiked with CPS methyl (50, 800, 1500 µM) and erythrosine B (4, 15, 60 µM), respectively. Then, 50 µL aliquots of these samples were used for further analysis. Background fluorescence was evaluated using unspiked juice blanks, which showed negligible emission in the detection window of NPOH@PF127, indicating that endogenous juice components did not interfere with the probe's fluorescence response. These steps ensured efficient suppression of matrix effects and enabled reliable quantification of CPS methyl and erythrosine B in fruit juice samples. To calculate percent recovery values, the following formula was used.
3. Results and discussion
3.1. Characterization of NPOH@PF127
The dimensions and morphological features of NPOH@PF127 were examined using DLS and HRTEM techniques. From DLS results (Fig. S11), the hydrodynamic radius of NPOH@PF127 was found to be 24.24 nm. HRTEM images (inset (Fig. 2b)) clearly showed the NPOH molecules encapsulated inside the core of spherical micelles formed by the PF127 polymer. The average particle size of the prepared binary ensemble was determined from the HRTEM micrograph (Fig. 2a) using ImageJ software and was found to be 11.05 ± 2.21 nm, along with the presence of lattice fringes of 0.33 nm over its surface (Fig. 2c). The particles appeared to be monodispersed and spherical in shape, showing no visible agglomeration. Particle diameters were measured from the HRTEM images using ImageJ software, where the scale bar was used to calibrate the pixel-to-nanometer conversion and the diameters of 24 individual particles were averaged to obtain the mean particle size using the following formula:
 |
| | Fig. 2 (a–c) HRTEM images, (d) SAED pattern, (e) EDX spectra, and (f–i) elemental mapping of NPOH@PF127; inset (a): size distribution graphs of the counts obtained from the HRTEM image (a); inset (b): HRTEM image of a single particle of NPOH@PF127. | |
The observed difference between the sizes obtained from DLS and TEM measurements may be attributed to the fact that DLS measures the hydrodynamic diameter of particles in aqueous solution, including the solvation shell, any adsorbed PF127 polymer or other surface layers and potential small aggregates, whereas TEM measures the physical core size after drying, under high vacuum.51,52 The elemental composition of NPOH@PF127 was determined using EDX analysis (Fig. 2e), which revealed the presence of C, N and O with the atomic percentages of 67.65%, 31.22% and 1.13%, respectively. Further, elemental mapping results (Fig. 2f–i) also demonstrated the uniform distribution of all the aforementioned required elements with carbon, nitrogen and oxygen shown in pink, red and green colors, respectively.
In the selected-area electron diffraction (SAED) pattern (Fig. 2d) of NPOH@PF127, diffraction spots were observed, which gave a hint towards its crystalline nature, which corroborated well with XRD results. The highly crystalline nature of NPOH@PF127 was confirmed by the intense diffraction peaks at 2θ = 19.20° and 23.32°, which corresponded to the (220) and (311) lattice planes of the PEO block in Pluronic F127 (Fig. S12).53 Moreover, it is worth mentioning that the diffractograms of NPOH, PF127 and NPOH@PF127 (Fig. S12) showed highly crystalline patterns, and the diffractogram of NPOH@PF127 was found to be exactly similar to PF127, indicating complete encapsulation of NPOH inside PF127 micelles.37,54
Further, FT-IR spectra of NPOH, PF127 and NPOH@PF127 were recorded. As shown in Fig. S13a, in the FT-IR spectrum of NPOH, absorption peaks were observed at 1344, 1657, 1755, 2840, 2933, 3038, 3334 and 3439 cm−1, due to stretching vibrations of C–N, C
N, C
O, C–H aliphatic,
C–H, C–H aromatic, N–H and O–H groups, respectively. In the FT-IR spectrum of PF127 (Fig. S13b), characteristic absorption peaks due to stretching vibrations of C–O, C–O–C, C–H–C and C–H appeared at 1101, 1279, 1458 and 2878 cm−1, respectively, and the absorption peak due to bending vibrations of O–H appeared at 1342 cm−1. From the comparison of the FT-IR spectra of NPOH, PF127 and NPOH@PF127 (Fig. S13), it was found that the FT-IR spectrum of NPOH@PF127 is similar to that of free PF127, indicating that NPOH molecules are encapsulated in the hydrophobic core of PF127 micelles through physical interactions.54
To further explore the chemical composition of NPOH and NPOH@PF127, their XPS spectra were obtained. As shown in Fig. 3a and e, signals corresponding to binding energies of C 1s, N 1s and O 1s were observed in the survey spectra of both NPOH and NPOH@PF127. In the high-resolution deconvoluted XPS spectrum of C 1s of NPOH (Fig. 3b), binding energy peaks at 284.68, 286.26 and 288.76 eV confirmed the presence of C–C/C
C, C–O/C–N and C
O, respectively.55 The presence of NH in NPOH was ascertained by the presence of the binding energy peak at 399.62 eV (Fig. 3c) in the core level spectra of N 1s.55 The high-resolution spectra of O 1s of NPOH (Fig. 3d) displayed a binding energy peak at 532.53 eV corresponding to C–OH.55 Similar peaks were observed in the high-resolution deconvoluted spectra of C 1s, N 1s and O 1s of NPOH@PF127 (Fig. 3f–h) except for the disappearance of the binding energy peak corresponding to C
O, which may be due to its involvement in interaction with PF127. Moreover, considerable differences in the intensity of binding energy peaks of C–O/C–N, N–H, and C–OH in NPOH and NPOH@PF127 also pointed to their involvement in chemical interactions between NPOH and NPOH@PF127.56
 |
| | Fig. 3 XPS survey scan of (a) NPOH and (e) NPOH@PF127. Deconvoluted spectra of C (1s), N (1s) and O (1s) for NPOH (b–d) and NPOH@PF127 (f–h). | |
Further, from XPS analysis, the elemental composition of NPOH was found to be C (85.5%), N (0.67%) and O (13.83%), whereas NPOH@PF127 displayed C (83.7%), N (0.2%) and O (16.1%). Thus, the encapsulation of NPOH in PF127 micelles increased the content of surface atomic oxygen from 13.83% to 16.1%, indicating enrichment of the ether (–C–O–) groups of PF127 at the outermost surface. Decrement in the atomic nitrogen percentage from 0.67% to 0.2% pointed towards the encapsulation of nitrogen-containing NPOH within the hydrophobic core of micelles formed by PF127.
To evaluate thermal stability and confirm the formation of the binary ensemble NPOH@PF127, comparison of TGA, DTG and DSC curves of NPOH, PF127 and NPOH@PF127 was carried out (Fig. S14). As shown in Fig. S14a, in the case of NPOH@PF127, a weight loss of 11.18% occurred in the temperature range of 30–313 °C, while for PF127 and NPOH, the weight loss was found to be only 2.15% and 0.53%, respectively. In the temperature range of 313–800 °C, the weight loss for NPOH, PF127 and NPOH@PF127 was found to be 108.9%, 97.01% and 96.76%, respectively, which indicated higher thermal stability of NPOH@PF127 than the individual components.57 From the DTG curves (Fig. S14b), maximum weight loss in the case of NPOH, PF127 and NPOH@PF127 occurred at 372.21–393.68 °C, 401.85 °C and 406.61 °C, respectively. Thus, the decomposition temperature of NPOH@PF127 was found to be higher than both individual components, which again indicated higher stability of NPOH@PF127.58 In the DSC curves (Fig. S14c), endothermic peaks at 303.03 °C, 300.83 °C and 306.44 °C refer to the temperature at which the dehydration of NPOH, PF127 and NPOH@PF127 occurs while the endothermic peaks at 387.65 °C, 403.03 °C and 410.12 °C indicate their melting temperatures. Thus, amongst all, the highest melting temperature was observed for NPOH@PF127, indicating its high stability.59,60 Additionally, the difference in the thermal stability of NPOH@PF127 in comparison to the individual components validated the successful formation of the binary ensemble.
3.2. Optical studies of NPOH and NPOH@PF127
UV-vis and fluorescence spectroscopic techniques were employed to evaluate the optical properties of NPOH and NPOH@PF127. The UV-vis absorption spectrum of NPOH (8 µM) in HEPES buffer (10 mM, pH = 7.0) displayed two absorption bands, one high-energy band at 357 nm and another low-energy band at 455 nm (Fig. 4a).61 The absorption peak at 357 nm was assigned to the π → π* transition of the aromatic ring, whereas the band observed at 455 nm was attributed to the intramolecular charge-transfer (ICT) transition from the aromatic ring to the 1,8-naphthalimide moiety.62 In aqueous medium, NPOH exhibited comparatively lower absorption intensity, which can be attributed to extensive hydrogen bonding with water molecules and the formation of π–π stacked aggregates, both of which induce hypochromism and spectral broadening.63,64 Upon comparison of the UV-vis absorption spectrum of NPOH@PF127 (NPOH = 8 µM, PF127 = 12 µM) with NPOH (8 µM) in HEPES buffer (10 mM, pH = 7.0), it was found that in the case of NPOH@PF127, there was considerable enhancement in the intensity of both the absorption bands, along with their splitting in two bands and new bands appeared at 446, 424, 356 and 343 nm (Fig. 4a). This enhancement arises from the efficient solubilization of NPOH within the hydrophobic core of PF127, which minimizes water-induced hydrogen bonding and effective suppression of π–π aggregation, thereby stabilizing NPOH in a monomeric state. The micellar microenvironment thus facilitates more efficient π → π* electronic transitions and sharper n → π* features due to reduced polarity and restricted non-radiative interactions. Overall, the stronger and better-defined absorption bands of NPOH@PF127 confirm the successful encapsulation and creation of a more favorable photophysical environment for the dye.65,66
 |
| | Fig. 4 (a) UV-vis absorption spectra and (b) fluorescence emission spectra of NPOH and NPOH@PF127. | |
To further support the encapsulation of NPOH in polymeric micelles, fluorescence spectroscopic measurements were carried out. Upon excitation at 450 nm, NPOH (60 µM) in HEPES buffer (10 mM, pH = 7.0) showed only faint fluorescence with a low-intensity emission peak at 542 nm, which might be due to the aggregation-caused quenching (ACQ) effect of the aggregates of NPOH molecules formed in the aqueous medium.67
Meanwhile, in the emission spectrum of NPOH@PF127 (NPOH = 60 µM, PF127 = 90 µM), a blue-shifted (18 nm) and intense emission peak was observed at 524 nm, indicating its highly emissive nature (Fig. 4b). This change may be attributed to changes in the microenvironment and aggregation states upon the encapsulation of NPOH molecules in polymeric micelles.68 Upon incorporation into PF127 micelles, the probe experiences a more ordered and less polar microenvironment that restricts intermolecular interactions and suppresses aggregation. This microencapsulation effectively isolates individual NPOH molecules, resulting in sharper absorption features and enhanced fluorescence intensity. Further, the fluorescence decay profiles of free NPOH and its binary ensemble NPOH@PF127 were recorded, and the corresponding decay curves are presented in Fig. S15. Upon the encapsulation of NPOH into PF127 micelles, the fluorescence lifetime increased from 5.45 to 5.53 ns. This slight enhancement may be ascribed to the more restricted, hydrophobic microenvironment offered by the micellar core, which shields the fluorophore from external quenchers. Such confinement limits rotational and vibrational freedom, thereby reducing non-radiative relaxation pathways and resulting in a marginally prolonged excited-state lifetime.69 Moreover, the synthesized binary ensemble was found to be highly stable as the UV-vis absorption and fluorescence spectra of NPOH@PF127 did not show any change in the presence of different concentrations of NaCl (20 μM to 200 μM) and at different time intervals (15 min to 8 h), as shown in Fig. S16 and S17.
3.3. Detection of CPS methyl using NPOH@PF127
The synthesized binary ensemble NPOH@PF127 was utilized for the detection of perilous CPS methyl using optical spectroscopic techniques. As already discussed, NPOH@PF127 displayed absorption bands at 446, 424, 356 and 343 nm in the UV-vis absorption spectrum. Upon the addition of 100 eq. of CPS methyl to the solution of NPOH@PF127 (NPOH = 8 µM, PF127 = 12 µM) in HEPES buffer (10 mM, pH = 7.0), no notable change was observed in the absorption spectrum of NPOH@PF127 (Fig. S18). Further, UV-vis titrations of NPOH@PF127 were performed with the progressive addition of increasing concentrations of CPS methyl, and the corresponding spectral changes are presented in Fig. S19. However, not much change was observed in the UV-vis spectrum of NPOH@PF127 even after the addition of 300 eq. of CPS methyl.
In the emission spectrum, the emission peak at 524 nm due to NPOH@PF127 was blue-shifted to 507 nm, along with a significant enhancement in intensity upon the addition of 100 eq. of CPS methyl to the solution of NPOH@PF127 (NPOH = 20 µM, PF127 = 30 µM) in HEPES buffer (10 mM, pH = 7.0) (Fig. 5). Further, to analyze the quantitative sensitivity of NPOH@PF127 towards CPS methyl, fluorescence spectroscopic titrations were performed by sequential addition of increasing amounts of CPS methyl. As shown in Fig. 6, upon incremental addition of CPS methyl to the solution of NPOH@PF127 (NPOH = 20 µM, PF127 = 30 µM) in HEPES buffer (10 mM, pH = 7.0), a corresponding enhancement in emission intensity, along with a blue shift, was observed, and finally, saturation was observed at 1500 µM of CPS methyl. On applying the Benesi–Hildebrand equation to the fluorescence spectral titration data, the binding constant between NPOH@PF127 and CPS methyl was calculated to be 7.19 × 103 M−1.57,70
 |
| | Fig. 5 Fluorescence emission spectrum of NPOH@PF127 in the presence of CPS methyl. | |
 |
| | Fig. 6 (a) Fluorescence spectra of NPOH@PF127 at various concentrations of CPS methyl. (b) Plot of the fluorescence intensity of NPOH@PF127 at 524 and 507 nm versus the concentration of added CPS methyl. | |
The limit of detection (LOD) value of NPOH@PF127 towards CPS methyl calculated using the formula LOD = 3σ/s (‘σ’ is the standard deviation of measurements obtained from seven blank replicates and ‘s’ is the slope of the standard calibration curve of fluorescence spectral titration data) was found to be 1.28 µM.71,72 Moreover, the linear detection range of the proposed sensor NPOH@PF127 towards CPS methyl was found to be 4.22–1500 µM, which is defined as the concentration interval extending from the limit of quantification (LOQ = 3.3 × LOD) up to the point at which the maximum change in the emission spectrum was observed.
Real samples are complex and contain a variety of other substances, along with the analyte of interest; therefore, for any sensing system to be efficient, it should be able to detect a particular analyte in the presence of various possible interferents. To check the selectivity of NPOH@PF127 towards CPS methyl, interference from various other pollutants (glufosinate, glyphosate, imidacloprid, malathion, paraquat, thiamethoxam, DCP, DCNP, triphosgene, Cd2+, Mn2+, Pb2+, Co2+, Cr3+, F−, Cl−, Br−, I−, ClO4−, H2PO4−, HSO4− and SO42−) was assessed by observing changes in the emission spectrum of NPOH@PF127 in the presence of the aforementioned possible interferents both in the presence and absence of CPS methyl. Fig. 7 reveals that none of the interferents caused discernible changes in the emission spectrum of NPOH@PF127, indicating the high selectivity of NPOH@PF127 towards CPS methyl.
 |
| | Fig. 7 Fluorescence interference graph of NPOH@PF127 and NPOH@PF127 + CPS methyl in the presence of various possible interferents. | |
3.4. Detection of erythrosine B using NPOH@PF127
UV-vis and fluorescence spectroscopic techniques were utilized to evaluate the sensing potential of NPOH@PF127 towards erythrosine B. The addition of erythrosine B to the solution of NPOH@PF127 (NPOH = 8 µM, PF127 = 12 µM) in HEPES buffer (10 mM, pH = 7.0) led to the enhancement in intensity of absorption bands at 446, 424, 356 and 343 nm and a new band appeared around 525 nm due to the own absorption of erythrosine B (Fig. S20). Further, UV-vis titrations of NPOH@PF127 were carried out with increasing amounts of erythrosine B, and the results are displayed in Fig. S21. In the emission spectrum, significant quenching in emission intensity at 524 nm, along with appearance of new peak at 567 nm corresponding to the emission of erythrosine B itself, was observed upon the addition of erythrosine B to the solution of NPOH@PF127 (NPOH = 60 µM, PF127 = 90 µM) in HEPES buffer (10 mM, pH = 7.0) (Fig. 8). Further, the emission spectrum of NPOH@PF127 was recorded with continual addition of rising concentrations of erythrosine B. Continuous addition of erythrosine B to the solution of NPOH@PF127 led to a gradual decrease in emission intensity and finally saturation was observed at 138 µM of erythrosine B (Fig. 9).
 |
| | Fig. 8 Emission spectrum of NPOH@PF127 in the presence of erythrosine B; inset: fluorescence color change of NPOH@PF127 in the presence of erythrosine B. | |
 |
| | Fig. 9 (a) Fluorescence spectra of NPOH@PF127 at various concentrations of erythrosine B. (b) Plot of the fluorescence intensity of NPOH@PF127 at 524 nm versus the concentration of added erythrosine B. | |
The Benesi–Hildebrand equation57,70 was applied to fluorescence spectral titration data to calculate the binding constant between NPOH@PF127, which was found to be 5.06 × 104 M−1. The LOD value and linear detection range of NPOH@PF127 towards erythrosine B were determined to be 0.18 µM and 0.59–138 µM, respectively.71,72
To ensure the applicability of NPOH@PF127 in real samples, the selectivity of NPOH@PF127 towards erythrosine B in the presence of various possible interferents needs to be assessed. Therefore, anti-interference experiments were conducted to evaluate the sensing potential of NPOH@PF127 towards other food dyes, food additives, various metal ions and anions. Consequently, emission spectra of NPOH@PF127 in the presence of food dyes (Allura red, amaranth, methylene blue, methyl orange), food additives (glucose, sucrose, maltose, lactose, citric acid, ascorbic acid), metal ions (Cd2+, Mn2+, Pb2+, Co2+, and Cr3+) and anions (F−, Cl−, Br−, I−, ClO4−, H2PO4−, HSO4−, and SO42−) were recorded both in the absence and presence of erythrosine B (Fig. 10). None of these interferents interfered in the sensing of erythrosine B as indicated by no noticeable changes in the emission spectrum of NPOH@PF127 and NPOH@PF127 + erythrosine B in the presence of these interferents. Thus, anti-interference experiments revealed the highly selective nature of NPOH@PF127 towards erythrosine B and indicate its effectiveness in real-world samples.
 |
| | Fig. 10 Fluorescence interference graph of NPOH@PF127 and NPOH@PF127 + erythrosine B in the presence of various possible interferents. | |
3.5. Mechanism
As already discussed, a significant enhancement in the emission intensity of NPOH@PF127 was observed in the presence of CPS methyl. To understand the mechanism of interaction between NPOH@PF127 and CPS methyl, FT-IR spectroscopy was utilized. However, the FT-IR spectrum of NPOH@PF127 + CPS methyl was found to be quite similar to that of NPOH@PF127, indicating that no chemical interaction occurred on the surface of NPOH@PF127 micelles (Fig. S22). Thus, the molecular interactions between NPOH@PF127 and CPS methyl, causing changes in the emission spectrum of NPOH@PF127 in the presence of CPS methyl, must have occurred within the micelles, involving NPOH and CPS methyl. Inside the polymeric micelles, oxygen atoms of CPS methyl might have interacted with the –NH and –OH hydrogens of NPOH via hydrogen bonding, which is supported by the observed increase in intensity and slight shift in the FT-IR bands corresponding to the O–H and N–H functional groups of NPOH upon the addition of CPS methyl (Fig. S23, Fig. 11).3 Enhancement observed in the emission spectrum of NPOH@PF127 in the presence of CPS methyl may be attributed to the hydrogen bonding-induced rigidity, leading to a reduction in the non-radiative decay and improved micellar microenvironment around NPOH.73–75
 |
| | Fig. 11 Illustration of the plausible detection mechanism of CPS methyl and erythrosine B by NPOH@PF127. | |
In the presence of erythrosine B, significant quenching was observed in the emission spectrum of NPOH@PF127. Usually, three types of mechanisms are considered responsible that cause quenching in the emission spectrum, including molecular interactions, inner filter effect (IFE) and fluorescence resonance energy transfer (FRET).67,76 To gain insights into the molecular interactions between NPOH@PF127 and erythrosine B, the FT-IR spectrum of NPOH@PF127 + erythrosine B was compared with the FT-IR spectrum of NPOH@PF127 alone, and it was found that both FT-IR spectra were completely identical; thus, no information about molecular interactions could be extracted with the help of FT-IR spectroscopy. Further, in FRET and IFE processes, upon excitation, the donor fluorophore exchanges energy with the acceptor chromophore with the same energy in resonance. For the FRET process to occur, the main criterion is the significant overlap between the emission spectrum of the fluorophore and the absorption spectrum of the acceptor.76 In the present case, significant overlap exists between the emission spectrum of NPOH@PF127 and the absorption spectrum of erythrosine B (Fig. S24), which is an ideal condition for the FRET mechanism to occur; thus the FRET mechanism might be held responsible for the quenching observed in the emission intensity of NPOH@PF127 in the presence of erythrosine B. To validate the proposed mechanism, the fluorescence decay curves of NPOH@PF127 and NPOH@PF127 + erythrosine B were recorded, and the results are presented in Fig. S25. A significant decrease in the fluorescence lifetime of NPOH@PF127 from 5.53 ns to 1.98 ns in the presence of erythrosine B confirmed the occurrence of a FRET mechanism responsible for the observed quenching in fluorescence intensity.77 Other reasons responsible for the observed quenching in the emission intensity of NPOH@PF127 in the presence of erythrosine B may include heavy-atom-induced intersystem crossing (ISC) due to the presence of four iodine atoms in erythrosine B and possible electron transfer, all of which create highly efficient non-radiative decay pathways.78,79
Further, as shown in Fig. 3, S26 & S27, the difference in the intensity of the binding energy peaks corresponding to C–C/C
C, C–O/C–N, N–H and C–OH indicated that these functional groups in NPOH@PF127 might have chemically interacted with CPS methyl.80 Moreover, the presence of various functional groups corresponding to CPS methyl and erythrosine B in XPS (Fig. S26 & S27) and EDX spectra (Fig. S28) of NPOH@PF127 + CPS methyl and NPOH@PF127 + erythrosine B also supported chemical interactions among NPOH@PF127 and both analytes.
4. Analysis of real samples
Fluorescence spectroscopy was utilized for the detection of CPS methyl and erythrosine B in grape and watermelon juices using NPOH@PF127. Samples of grape and watermelon juices were prepared as per the procedure mentioned in the experimental section. The results of CPS methyl spiked (50, 800, 1500 µM) in grape juice and erythrosine B spiked (4, 15, 60 µM) in watermelon juice are displayed in Tables 1 and 2, respectively. For both samples, analysis was carried out in triplicate, and excellent recoveries in the range of 96 to 110% were obtained with RSD values less than 5%. The standard deviation (SD) values calculated from the concentrations of analytes found in grape juice and watermelon juice are also displayed in Tables 1 and 2, respectively.
Table 1 Determination of CPS methyl in grape juice using NPOH@PF127
| Sample name |
Added (µM) |
Found (µM) |
Recovery (%) |
SD (µM) |
RSD (%) |
| R1 |
R2 |
R3 |
R1 |
R2 |
R3 |
| Grape juice |
50 |
51.5 |
48.0 |
52.15 |
103.0 |
96.0 |
104.3 |
2.23 |
4.41 |
| 800 |
805.6 |
808.0 |
816.0 |
100.7 |
101.0 |
102.0 |
5.45 |
0.67 |
| 1500 |
1510.4 |
1513.5 |
1515.0 |
100.69 |
100.9 |
101.0 |
2.37 |
0.15 |
Table 2 Determination of erythrosine B in watermelon juice using NPOH@PF127
| Sample name |
Added (µM) |
Found (µM) |
Recovery (%) |
SD (µM) |
RSD (%) |
| R1 |
R2 |
R3 |
R1 |
R2 |
R3 |
| Watermelon juice |
5 |
5.1 |
4.8 |
5.3 |
102.0 |
96.62 |
105.0 |
0.21 |
4.20 |
| 15 |
16.3 |
16.1 |
16.5 |
109.0 |
107.0 |
110.0 |
0.23 |
1.41 |
| 60 |
65.3 |
60.4 |
60.2 |
108.8 |
100.7 |
100.4 |
2.86 |
4.61 |
5. Comparison of the present sensor system, NPOH@PF127, with other reported sensors for CPS methyl and erythrosine B
The performance of the present sensor system, NPOH@PF127, was compared with other reported sensors in terms of the method of detection, concentration range, and LOD values for the sensing of CPS methyl and erythrosine B, and the results are summarized in Table S1. Compared to these literature reports, the present sensor system, NPOH@PF127, exhibited superior performance in terms of higher sensitivity for erythrosine B, enabled simultaneous detection of two analytes and wide detection window in terms of concentration.
6. Conclusion
In summary, we present a novel amide-functionalized NPOH fluorophore and its PF127-based micellar ensemble. The developed binary ensemble, NPOH@PF127, exhibited enhanced aqueous solubility and distinct fluorescence responsiveness. The probe shows clear spectral modulation toward CPS methyl and erythrosine B, governed by specific interaction pathways and FRET-assisted signalling, enabling reliable performance in real food matrices. The principal novelty of this work lies in encapsulating a 1,8-naphthalimide-derived amide sensor (NPOH) within a biocompatible micellar carrier (PF127) to achieve efficient signalling behaviour in aqueous media. Owing to its modular design, photostability and favourable dispersibility, the NPOH@PF127 platform holds strong potential for future translation into practical formats, such as portable fluorescence strips, microfluidic sensing chips, and continuous monitoring setups for quality control environments in the food and beverage sector.
Author contributions
Nisha Jain: Conceptualization, data curation, formal analysis, visualization, writing – original draft. Navneet Kaur: Methodology, writing – review & editing, supervision, project administration.
Data availability
The data supporting this article have been included as part of the supplementary information (SI). Supplementary information is available. See DOI: https://doi.org/10.1039/d5lp00287g.
Conflicts of interest
The authors declare no competing interests.
Acknowledgements
The authors are grateful to DST INSPIRE (IF200020) for the financial assistance and are greatly thankful to SAIF, Panjab University, Chandigarh, for DLS, HRTEM, FESEM, PXRD, NMR and mass spectral studies.
References
- Z.-H. Xu, J. Liu, B. Li, J.-K. Wang, X. Zeng, Z.-J. Chen, S. Hongsibsong, W. Huang, H.-T. Lei, Y. M. Sun and Z.-L. Xu, Biosensors, 2022, 12, 1006 CrossRef CAS PubMed.
- G. L. Tadesse and T. Kasa, Adv. Life Sci. Technol., 2017, 55, 13–22 Search PubMed.
- M. Kumar, A. Dhiman, G. Singh, N. Kaur and N. Singh, Anal. Chim. Acta, 2025, 1336, 343488 CrossRef CAS PubMed.
- X. Hua, G. Qian, J. Yang, B. Hu, J. Fan, N. Qin, G. Li, Y. Wang and F. Liu, Biosens. Bioelectron., 2010, 26, 189–194 CrossRef CAS PubMed.
- G. Qian, L. Wang, Y. Wu, Q. Zhang, Q. Sun, Y. Liu and F. Liu, Food Chem., 2009, 117, 364–370 CrossRef CAS.
- S. I. S. Al-Hawary, A. O. Bali, S. Askar, H. A. Lafta, Z. J. Kadhim, B. Kholdorov, Y. Riadi, R. Solanki, Q. I. Kadhem and Y. F. Mustafa, Microchem. J., 2023, 189, 108540 CrossRef.
- W. Ahmad, E. H. Aljuhani, H. Alwael, E. A. Assirey, H. M. Nassef and M. S. El-Shahawi, J. Food Compos. Anal., 2023, 117, 105110 CrossRef CAS.
- S. Firdoushi, A. H. M. T. Ahmed, I. Bhattacharjee, S. Dasgupta, H. Ghosh, D. Biswas, R. Bandyopadhyay and B. Tudu, Food Hum., 2025, 4, 100586 CrossRef.
- G. E. Uwaya and K. Bisetty, Inorg. Chem. Commun., 2025, 178, 114512 CrossRef CAS.
- C. Zhang, Y. J. Wu, S. F. Jin and H. Yang, Anal. Methods, 2013, 5, 3089–3095 RSC.
- E. Anli, N. Vural, H. Vural and Y. Gucer, J. Inst. Brew., 2007, 113, 213–218 CrossRef CAS.
- H. Li, M. M. Hassan, Z. He, S. A. Haruna, Q. Chen and Z. Ding, LWT–Food Sci. Technol., 2022, 167, 113804 Search PubMed.
- M. D. Carlo, M. Mascini, A. Pepe, D. Compagnone and M. Mascini, J. Agric. Food Chem., 2002, 50, 7206–7210 CrossRef PubMed.
- H. Li, J. Li, Q. Xu and X. Hu, Anal. Chem., 2011, 83, 9681–9686 CrossRef CAS PubMed.
- W. Wei, X. Zong, X. Wang, L. Yin, Y. Pu and S. Liu, Food Chem., 2012, 135, 888–892 CrossRef CAS PubMed.
- K. Tuovinen, M. Kolehmainen and H. Paakkanen, Anal. Chim. Acta, 2001, 429, 257–268 CrossRef CAS.
- S. N. Sinha, R. Pal, A. Dewan, M. M. Mansuri and H. N. Saiyed, Int. J. Mass Spectrom., 2006, 253, 48–57 CrossRef CAS.
- D. B. Roll and F. J. Biros, Anal. Chem., 1969, 41, 407–411 CrossRef CAS PubMed.
- Q. Chen and Y. Fung, Electrophoresis, 2010, 31, 3107–3114 CrossRef CAS PubMed.
- M. A. Martínez, S. Ballesteros, C. S. de la Torre, A. Sanchiz, E. Almarza and A. García-Aguilera, J. Anal. Toxicol., 2004, 28, 609–615 CrossRef PubMed.
- J. F. Liu, T. Wen, N. B. Li and H. Q. Luo, Sens. Actuators, B, 2011, 160, 1128–1135 CrossRef CAS.
- Y.-Y. Ma, Z.-J. Wang and D.-J. Qian, Talanta, 2021, 230, 122311 CrossRef CAS PubMed.
- X. Chen, J. Xu, L. Zhang, N. Bi, J. Gou, Y. Li, T. Zhao and L. Jia, Food Chem., 2024, 439, 138095 CrossRef CAS PubMed.
- M. Li, L. Jia, X. Chen, Y. Li, D. Zhao, L. Zhang, T. Zhao and J. Xu, Sens. Actuators, B, 2024, 407, 135491 CrossRef CAS.
- J. Xu, S. Guo, L. Jia, T. Zhu, X. Chen and T. Zhao, Chem. Eng. J., 2021, 416, 127741 CrossRef CAS.
- T. Yang, S. Feng, Y. Lu, C. Yin and J. Wang, J. Sep. Sci., 2016, 39, 2388–2395 CrossRef CAS PubMed.
- R. Kaur and N. Kaur, Dyes Pigm., 2017, 139, 310–317 CrossRef CAS.
- X. Yue, C. Zhu, R. Gu, J. Hu, Y. Xu, S. Ye and J. Zhu, Foods, 2022, 11, 3336 CrossRef CAS PubMed.
- R. Chadha, A. Das, J. Lobo, V. O. Meenu, A. Paul, A. Ballal and N. Maiti, Colloids Surf., A, 2022, 641, 128558 CrossRef CAS.
- S. Wang, Y. Kang, L. Wang, H. Zhang, Y. Wang and Y. Wang, Sens. Actuators, B, 2013, 182, 467–481 CrossRef CAS.
- W. Li, H. Zhou, M. A. H. Nawaz, N. Niu, N. Yang, J. Ren and C. Yu, Anal. Methods, 2020, 12, 5353–5359 RSC.
- N. Kaur, R. Kaur, R. Kaur and S. Rana, Inorg. Chem. Commun., 2021, 129, 108648 CrossRef CAS.
- F. Gai, M. Fan, X. Yang, C. Hao, Y. Ao, C. Duan, Y. Liu and Q. Huo, J. Colloid Interface Sci., 2018, 519, 224–231 CrossRef CAS PubMed.
- F. Gai, L. Yin, M. Fan, L. Li, J. Grahn, Y. Ao, X. Yang, X. Wu, Y. Liu and Q. Huo, J. Colloid Interface Sci., 2018, 514, 357–363 CrossRef CAS PubMed.
- F. Gai, L. Li, Y. Yu, Z. Han, L. Jin, Y. Ao, Y. Liu and Q. Huo, J. Colloid Interface Sci., 2018, 529, 531–537 CrossRef CAS PubMed.
- A. R. Alzahrani, Green Process. Synth., 2023, 12, 20230126 CrossRef CAS.
- N. Molupe, B. Babu, D. O. Oluwole, E. Prinsloo, L. Gai, Z. Shen, J. Mack and T. Nyokong, J. Porphyrins Phthalocyanines, 2020, 24, 973–984 CrossRef CAS.
- X. Xie, G. Mistlberger and E. Bakker, Anal. Chem., 2013, 85, 9932–9938 CrossRef CAS PubMed.
- B. Pucelik, L. G. Arnaut, G. Stochel and J. M. Dąbrowski, ACS Appl. Mater. Interfaces, 2016, 8, 22039–22055 Search PubMed.
- V. P. Torchilin, Pharm. Res., 2006, 24, 1–16 CrossRef PubMed.
- X. Ye, J. Zhang, H. Chen, X. Wang and F. Huang, ACS Appl. Mater. Interfaces, 2014, 6, 5113–5121 CrossRef CAS PubMed.
- Z. Wei, J. Hao, S. Yuan, Y. Li, W. Juan, X. Sha and X. Fang, Int. J. Pharm., 2009, 376, 176–185 CrossRef CAS PubMed.
- N. U. Khaliq, J. Lee, S. Kim, D. Sung and H. Kim, Pharmaceutics, 2023, 15, 2102 CrossRef CAS PubMed.
- S. M. Tawfik, S. Azizov, M. R. Elmasry, M. Sharipov and Y. I. Lee, Nanomaterials, 2021, 11, 70 CrossRef CAS PubMed.
- N. Jain and N. Kaur, Coord. Chem. Rev., 2022, 459, 214454 CrossRef CAS.
- X. Li, Y. Zhou, Y. Zhang and Y. A. Son, Mol. Cryst. Liq. Cryst., 2015, 622, 84–93 CrossRef CAS.
- J.-C. Qin, J. Yan, B.-D. Wang and Z.-Y. Yang, Tetrahedron Lett., 2016, 57, 1935–1939 CrossRef CAS.
- M. Mehta, W. Skinner, B. Gardner, S. Mosca, F. Palombo, P. Matousek and N. Stone, ACS Omega, 2025, 10, 4588–4598 CrossRef CAS PubMed.
- X. Wang, Y. Wang, L. Yin, Q. Zhang and S. Wang, RSC Adv., 2022, 12, 10395–10400 RSC.
- M. I. Henderson, Y. Eygeris, A. Jozic, M. Herrera and G. Sahay, Mol. Pharmaceutics, 2022, 19, 4275–4285 CrossRef CAS PubMed.
- E. V. Kuznetsova, N. M. Kuznetsov, K. T. Kalinin, P. V. Lebedev-Stepanov, A. A. Novikov and S. N. Chvalun, Colloid J., 2025, 84, 704–714 CrossRef.
- J. K. Lim, S. P. Yeap, H. X. Che and S. C. Low, Nanoscale Res. Lett., 2013, 8, 381 CrossRef PubMed.
- R.-S. Juang, K.-S. Wang, Y.-W. Cheng, W.-E. Wu, Y.-H. Lin, R.-J. Jeng, L.-Y. Huang, M.-C. Yang, S.-H. Liu and T.-Y. Liu, Spectrochim. Acta, Part A, 2022, 279, 121475 CrossRef CAS PubMed.
- N. Akhlaghi and G. Najafpour-Darzi, J. Mol. Liq., 2024, 400, 124489 CrossRef CAS.
- Y. Wang, L. Nie, Y. Hua, L. Gong, X. Qiu and H. Guo, Spectrochim. Acta, Part A, 2023, 292, 122431 CrossRef CAS PubMed.
- Jyoti, Deepeka, P. Kaur, V. Kumar, K. Tikoo, S. Rana and S. Singhal, Anal. Chim. Acta, 2023, 1240, 340753 CrossRef CAS PubMed.
- N. Jain and N. Kaur, Food Chem., 2025, 485, 144546 CrossRef CAS PubMed.
- J. Cao, Z. Cheng, L. Kang, M. Chu, D. Wu, M. Li, S. Xie and R. Wen, Mater. Lett., 2017, 207, 190–194 CrossRef CAS.
- C. Shen, J. Zhu, J. Song, J. Wang, B. Shen, H. Yuan and X. Li, Drug Dev. Ind. Pharm., 2020, 46, 1100–1107 CrossRef CAS PubMed.
- M. Akrami-Hasan-Kohal, A. Chouchou, S. Blanquer and T. Sharkawi, Int. J. Pharm.: X, 2024, 7, 100230 CAS.
- P. Gu, X. Xu, F. Zhou, T. Zhao, G. Ye, G. Liu, Q. Xu, J. Ge, Q. Xu and J. Lu, Chin. J. Chem., 2014, 32, 205–211 Search PubMed.
- P. Gu, X. Xu, F. Zhou, T. Zhao, G. Ye, G. Liu, Q. Xu, J. Ge, Q. Xu and J. Lu, Chin. J. Chem., 2014, 32, 205–211 CrossRef CAS.
- K. Gayen, S. Paul, S. Hazra and A. Banerjee, Langmuir, 2021, 37, 9577–9587 CrossRef CAS PubMed.
- S. Dhar, D. K. Rana and S. C. Bhattacharya, Colloids Surf., A, 2012, 402, 117–126 CrossRef CAS.
- S. Sreejith, J. Joseph, M. Lin, N. V. Menon, P. Borah, H. J. Ng, Y. X. Loong, Y. Kang, S. W.-K. Yu and Y. Zhao, ACS Nano, 2015, 9, 5695–5704 CrossRef CAS PubMed.
- W.-C. Wu, C.-Y. Chen, Y. Tian, S.-H. Jang, Y. Hong, Y. Liu, R. Hu, B. Z. Tang, Y.-T. Lee, C.-T. Chen, W.-C. Chen and A. K. Y. Jen, Adv. Funct. Mater., 2010, 20, 1413–1423 CrossRef CAS.
- Y. Bo, J. Fan, S. Yan, M. Ding, J. Liu, J. Peng and L. Ding, Sens. Actuators, B, 2019, 295, 168–178 CrossRef CAS.
- N. Jain and N. Kaur, Colloids Surf., A, 2024, 693, 134092 CrossRef CAS.
- Y. Lu, P. Jabbari, A. Mukhamedshin and A. V. Zvyagin, Adv. Drug Delivery Rev., 2025, 218, 115521 CrossRef CAS PubMed.
- H. A. Benesi and J. H. Hildebrand, J. Am. Chem. Soc., 1949, 71, 2703–2707 CrossRef CAS.
- D. Kumar and N. Kaur, Carbohydr. Polym. Technol. Appl., 2024, 7, 100500 CAS.
- G. L. Long, Anal. Chem., 1983, 55, 712A–724A CrossRef CAS.
- Z. Zhang, Y. Zhang, P. Jiang, G. Lu, Z. Chen, H. Yu and Y. Qi, Chem. – Eur. J., 2025, 31, e202404484 CrossRef CAS PubMed.
- H.-Y. Zhang, M. Zhang, H. Zhuo, H.-Y. Yang, B. Han, Y.-H. Zheng, H. Wang, H. Lin, S.-L. Tao, C.-J. Zheng and X.-H. Zhang, Chem. Sci., 2024, 15, 14651–14659 RSC.
- F. Ma, G. Zhao, Y. Zheng, F. He, K. Hasrat and Z. Qi, ACS Appl. Mater. Interfaces, 2020, 12, 1179–1189 CrossRef CAS PubMed.
- K. Shanmugaraj and S. A. John, New J. Chem., 2018, 42, 7223–7229 RSC.
- K. Anusuyadevi and S. Velmathi, Anal. Chim. Acta, 2023, 1239, 340678 CrossRef CAS PubMed.
- N. Ibrayev, E. Seliverstova, R. Valiev, A. Aymagambetova and D. Sundholm, Phys. Chem. Chem. Phys., 2024, 26, 25986–25993 RSC.
- A. Mukherjee, J. Feist and K. Börjesson, J. Am. Chem. Soc., 2023, 145, 5155–5162 CrossRef CAS PubMed.
- C. Xu, J. Wang, L. Wan, J. Lina and X. Wang, J. Mater. Chem., 2011, 21, 10463–10471 RSC.
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