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Article

Rapid and Sensitive Detection of Influenza B Virus Employing Nanocomposite Spheres Based on Ag-Doped ZnIn2S4 Quantum Dots

Jiangsu Province Hi-Tech Key Laboratory for Bio-Medical Research, School of Chemistry and Chemical Engineering, Southeast University, Nanjing 211189, China
*
Author to whom correspondence should be addressed.
Chemosensors 2024, 12(4), 68; https://doi.org/10.3390/chemosensors12040068
Submission received: 19 March 2024 / Revised: 16 April 2024 / Accepted: 17 April 2024 / Published: 19 April 2024
(This article belongs to the Special Issue Rapid Point-of-Care Testing Technology and Application)

Abstract

:
Lateral flow immunoassay (LFIA) technology serves a significant role as a simple and rapid biosensor in the detection of influenza viruses. The focus of this study is the development of a rapid and convenient screening method for influenza B virus (IBV) proteins using a fluorescence lateral flow biosensor based on Ag-doped ZnIn2S4 quantum dots (Ag: ZIS QDs) as signal reporters. These Ag: ZIS QDs-emitting orange fluorescence are loaded onto dendritic mesoporous silica nanoparticles (DMSNs) and are further coated with a layer of silica shell to form a core–shell structured composite nanomaterial (SiO2 @ Ag: ZIS QDs @ DMSNs). The orange fluorescence effectively eliminates the interference of blue background fluorescence, significantly enhancing the detection sensitivity. This technology demonstrates outstanding performance in the immediate detection of IBV, with a minimum detection limit of 1 ng/mL, compared to the traditional colloidal gold strip with a detection limit of 6 ng/mL. Furthermore, both intra-assay and inter-assay coefficients of variation (CV) are less than 9%. This method holds promise for wide application in early diagnosis, epidemiological investigation, and epidemic surveillance of IBV.

1. Introduction

Influenza B Virus (IBV) is a significant respiratory pathogen capable of inducing respiratory infection, ranging from mild symptoms to severe pneumonia. The global incidence of IBV cases remains consistently high throughout the year [1,2,3]. Hence, the rapid and precise detection of IBV is paramount for influenza prevention, early diagnosis, and timely treatment, as immediate virus detection can substantially mitigate transmission at the source [4,5]. Presently, the primary methods for detecting infectious disease pathogens involve nucleic acid and antigen testing [6]. Polymerase chain reaction (PCR), the most commonly utilized nucleic acid testing method, provides high sensitivity and specificity [7]. However, its implementation demands specialized personnel, dedicated equipment, and laboratory facilities, making it time-consuming and challenging to achieve rapid and real-time virus detection [8]. Antigen testing is an immunological analysis method grounded in the antigen–antibody reaction. Conventional antigen analysis techniques, such as enzyme-linked immunosorbent assay (ELISA) [9], entail intricate procedures, strict operational control, and relatively lower detection accuracy. Surface-enhanced Raman spectroscopy (SERS) [10] involves a lengthier detection period and substantial testing costs. In contrast, lateral flow immunoassay (LFIA) emerges as a simple, swift, sensitive, and cost-effective method, positioning it as one of the most widely employed point-of-care testing (POCT) sensors [11]. In IBV detection, LFIA exhibits the potential to furnish rapid and accurate outcomes by targeting the virus’s protein antigen [12]. The judicious selection of markers is pivotal in augmenting sensitivity in this context.
In recent years, colloidal gold test strips have become the predominant LFIA in the market, yielding visually discernible results [13,14,15,16]. However, significant batch-to-batch variations in colloidal gold products have led to a compromise in sensitivity. The physical adsorption method, often used in conjunction, frequently detaches antibodies from the gold particle surface, introducing instability to the labeled markers [17]. Quantum Dots (QDs) have emerged as innovative fluorescent labels in the biomedical field, presenting advantages such as narrow fluorescence emission peaks, extended lifetimes, and high fluorescence quantum yields, rendering them ideal biomarkers [18,19,20]. Integrating QDs with LFIA and utilizing them as labeled antibodies amplifies sensitivity and stability in detection and enables the simultaneous identification of multiple markers, facilitating multifactorial analysis [21,22,23,24,25]. However, in practical applications, quantum dots often encounter luminescence quenching effects induced by aggregation [26]. The construction of composite materials through integrating quantum dots with other functional materials, such as silica and polystyrene nanoparticles, enhances biocompatibility and fluorescence stability [27,28,29,30,31]. This strategy mitigates the quenching of QDs fluorescence while concurrently amplifying the signal, significantly enhancing detection sensitivity and specificity. Li et al. successfully established a highly sensitive immunoassay, termed quantum dot-linked immunosorbent assay (QLISA), for the detection of C-reactive protein (CRP) by surface-conjugating CdSe/ZnS core/shell QDs onto silica microspheres, achieving a low detection limit (LOD) of 0.32 ng/mL [28]. Additionally, Li et al. facilely loaded quantum dots onto the surface of polystyrene (PS) nanoparticles using polyelectrolytes and applied them in suspension chip detection for the H5N1 virus, demonstrating a sensitivity lower than 25 PFU/mL [30]. In comparison to dense silica and polystyrene spheres, dendritic mesoporous silica nanoparticles (DMSNs) possess expanded radial pore structures and an ultra-large specific surface area. Utilizing DMSNs as carriers not only enables the attachment of more quantum dots, ensuring stable luminescence, but also amplifies the signal [32,33].
Herein, we utilized orange fluorescent QDs loaded onto DMSNs (SiO2 @ Ag: ZIS QDs @ DMSNs) as the signal reporting entity. Harnessing the simplicity of a lateral flow detection platform, we designed a straightforward one-step fluorescent lateral flow biosensor to screen IBV proteins rapidly. The detection limit achieved was 1 ng/mL, representing a six-fold reduction compared to previously reported colloidal gold test strips [4]. This technology exhibits broad potential applications for the early diagnosis of IBV, epidemiological investigations, and pandemic monitoring. Moreover, the technology platform based on SiO2 @ Ag: ZIS QDs @ DMSNs demonstrates remarkable sensitivity, and can be readily applied to the routine diagnostic testing of acute infectious diseases (such as procalcitonin, HIV, syphilis, hepatitis, etc.) and common tumor markers (AFP, CA199, CEA, etc.). This is expected to make significant advancements in healthcare and epidemiology.

2. Materials and Methods

2.1. Reagents

Indium (III) nitrate, cetyltrimethyl ammonium bromide (CTAB), sodium salicylate, ammonia, triethanolamine, sulfur powder, NaCl, Tween-20, γ-aminopropyltriethoxysilane (APTES), thioacetamide (TAA), succinic anhydride, Na2HPO4, NaH2PO4, tetraethyl orthosilicate (TEOS), concentrated hydrochloric acid (HCl), silver nitrate, polyvinyl pyrrolidone (PVP), L-cysteine, zinc acetate, N, N-Dimethylformamide (DMF), absolute ethanol, and NaOH were obtained from Sinopharm Chemical Reagent Co., Ltd. (Shanghai, China). All chemicals were used as received without purification. Bovine serum albumin (BSA) was sourced from Sangon Biotech Co., Ltd. (Shanghai, China). The absorbent pad, nitrocellulose (NC) membrane, sample pad, goat anti-mouse IgG antibody, Zika NS1 recombinant protein, HCG antigen, and polyvinyl chloride (PVC) substrate were acquired from Shanghai Jieyi Biotechnology Co., Ltd. (Shanghai, China). Prepare phosphate-buffered saline (PBS, 0.01 M, pH 7.4) using Na2HPO4 and NaH2PO4. Alpha-fetoprotein (AFP) antigen was purchased from Shanghai Linc-Bio Science Co., Ltd. (Shanghai, China). The Jiangsu Provincial Center for Disease Control and Prevention provides recombinant nucleoprotein of IBV and its matching labeled antibody and coated antibody. Chemical Co., Ltd. (Shanghai, China) supplied 1-(3-Dimethylaminopropyl)-3-ethylcarbodiimide hydrochloride (EDC).

2.2. Preparation of Ag-Doped ZnIn2S4 Quantum Dots (Ag: ZIS QDs)

The synthesis of Ag: ZIS QDs was carried out through a hydrothermal process [34]. A precursor solution was prepared by dissolving 226.3 mg of zinc acetate and 870.1 mg of indium (III) acetate in 70 mL of deionized water. Subsequently, 565.8 mg of silver nitrate was introduced into this solution to initiate the formation of Ag: ZIS QDs. Then, a solution containing 26.3 mg of L-cysteine was added with vigorous stirring, followed by the adjustment of the pH to 8.5 using a 1.0 M NaOH solution. Immediately after, an excess amount of TAA (1.05 g) was quickly mixed into the solution. The resulting mixture was sealed in a polytetrafluoroethylene-lined hydrothermal autoclave and heated to 110 °C for a duration of 4 h. After cooling back to room temperature, the Ag: ZIS QDs were separated by centrifugation at 10,000 rpm for 30 min. Subsequently, they were washed three times by centrifugation with a solution composed of water and ethanol in a 30:70 volume ratio. Finally, the purified QDs were dispersed in 50 mL of deionized water.

2.3. Preparation of SiO2 @ Ag:ZIS QDs @ DMSNs

The preparation of DMSNs and their surface modification was carried out using the previously reported method [35]. Specifically, 10 mg of prepared DMSNs was dispersed in 10 mL of ethanol. To this, 200 μL of ammonia solution and 40 μL of APTES were added to react with surface silanol groups, resulting in the DMSNs surface modification with -NH2 groups. The mixture was stirred at room temperature for 12 h. The resulting product was collected by centrifugation and washed three times with ethanol. Finally, the obtained amine-functionalized DMSNs were dispersed in 10 mL of deionized water. The aforementioned DMSNs were then dispersed in different volumes of Ag: ZIS QDs water solution and a 10 mg solution of EDC. The solution was stirred for 6 h, followed by centrifugation at 10,000 rpm for 5 min to remove unbound quantum dots. The Ag: ZIS QDs @ DMSNs nanospheres were washed twice with deionized water through centrifugation and dispersed in 10 mL of deionized water. Subsequently, the Ag: ZIS QDs @ DMSNs nanospheres were dispersed in 4 mL of ethanol, and 10 μL of TEOS was added, followed by stirring for 24 h. The SiO2 @ Ag: ZIS QDs @ DMSNs nanospheres were collected by centrifugation, washed three times with ethanol, and dispersed in 10 mL of ethanol.

2.4. Preparation of SiO2 @ Ag:ZIS QDs @ DMSNs-IVB Antibody

The procedure involved reacting a 10 mL ethanol solution of SiO2 @ Ag: ZIS QDs @ DMSNs (1 mg/mL) with 200 μL of ammonia solution and 40 μL of APTES. The mixture was stirred at room temperature for 6 h, followed by centrifugation at 8000 rpm for 5 min and washing with anhydrous ethanol twice to obtain SiO2 @ Ag: ZIS QDs @ DMSNs-NH2. The resulting product was then dispersed in 10 mL of DMF. Subsequently, 100 mg of succinic anhydride was added, and the mixture was stirred at room temperature for 4 h. After centrifugation and washing, carboxyl-terminated SiO2 @ Ag: ZIS QDs @ DMSNs were obtained. Following this, 0.25 mL of SiO2 @ Ag: ZIS QDs @DMSNs-COOH (1 mg/mL), 20 μL of EDC water solution (10 mg/mL), and IBV labeled antibody (IBV-Ab2, 10.4 mg/mL) were sequentially mixed thoroughly. The mixture was gently shaken at room temperature for 2 h. The resulting product was centrifuged and dispersed in 0.25 mL of 0.01 M PBS solution, stored at 4 °C.

2.5. Detection of SiO2 @ Ag:ZIS QDs @ DMSNs-LFIA

The sample pad was treated with a mixed solution containing 0.1% Tween-20, 1% BSA, and 4% NaCl, followed by air-drying at room temperature. Using a line pen, IBV capture antibody (IBV-Ab1, 2 mg/mL) and goat anti-mouse IgG antibody (2 mg/mL) were, respectively, applied to the test and control line on the NC membrane, followed by air-drying at room temperature. Subsequently, the absorbent pad, NC membrane, and pre-treated sample pad were adhered to a PVC backing card, cut into 4 mm wide strips, and stored at 4 °C in the dark. The Antigen-IBV standard solution was diluted to different concentrations with 0.01 M PBS solution. Then, 10 μL SiO2 @ Ag: ZIS QDs @ DMSNs-antibody (IBV-Ab2) was mixed with 30 μL of the Antigen-IBV standard solution of different concentrations, and the mixture was dropped onto the sample pad. After a 10 min incubation period, fluorescent images of the test paper were captured using a Huawei smartphone under a 365 nm UV lamp. The fluorescence intensity of the control and test lines was analyzed using ImageJ software (ImageJ 1.53t).

3. Results and Discussion

3.1. Characterization of SiO2 @ Ag:ZIS QDs @ DMSNs

Figure 1 illustrates the complete process of preparing Ag: ZIS QDs @ DMSNs nanocomposite materials. Preliminary analysis of the microstructure of the products at each stage was conducted using Transmission Electron Microscopy (TEM) and Scanning Electron Microscopy (SEM). Figure 2a and Figure S1a present the TEM images of DMSNs, showing particle sizes ranging from 220 to 250 nm with large pore sizes, indicating the excellent loading capacity of DMSNs. Figure 2b and Figure S1b depict the TEM images of Ag: ZIS QDs @ DMSNs nanocomposite materials, clearly revealing the firm attachment of Ag: ZIS QDs to DMSNs, demonstrating the successful preparation of the composite material. The TEM images in Figure 2c and Figure S1c clearly illustrate the successful encapsulation of SiO2 on the surface of Ag: ZIS QDs @ DMSNs, preventing the detachment of Ag: ZIS QDs and resulting in a decrease in the fluorescence intensity of the composite material, while simultaneously enhancing its stability in acidic and alkaline environments. EDS elemental mapping indicates that Ag: ZIS QDs @ DMSNs are composed of Si, O, Ag, Zn, In, and S elements (Figure 2d–i and Figure S1d), confirming the successful loading of QDs. Elemental mapping shows the distribution of Zn (green), In (purple), S (orange), and Ag (yellow) elements around the Si (blue) and O (red) atomic cores.
The high-resolution transmission electron microscopy (HRTEM) image of Ag-ZIS quantum dots is depicted in Figure 3a, clearly revealing their uniform size distribution within the range of 5–10 nm and indicating the absence of aggregation. Additionally, Figure 3b shows an obvious lattice fringe, with an arrow pointing to a lattice spacing of 0.325 nm, precisely aligned with the (102) crystal lattice plane of hexagonal ZnIn2S4 [36].
We conducted a comprehensive analysis of the composition of SiO2 @ Ag: ZIS QDs @ DMSNs using X-ray diffraction (XRD), Fourier-transform infrared (FT-IR) spectroscopy, ultraviolet-visible absorption (UV-vis), and fluorescence spectroscopy. Figure 4a presents the XRD spectra of DMSNs and SiO2 @ Ag: ZIS QDs @ DMSNs. The diffraction broad peak observed at 22° for DMSNs aligns with the diffraction peak of the SiO2 standard card (ICDD JCPDS card No. 39-1425), confirming the successful preparation of DMSNs. The XRD pattern of SiO2 @ Ag: ZIS QDs @DMSNs exhibits characteristic peaks corresponding to the (101) crystal plane of SiO2 and the (008), (112), and (203) crystal planes of hexagonal ZnIn2S4, matching with the diffraction peaks of the ZnIn2S4 standard card (ICDD JCPDS card No. 72-0773), further confirming the successful loading of Ag: ZIS QDs [36]. Figure 4b presents the FT-IR spectra, showing the stretching characteristic peak of Si-O-Si at 1088 cm−1 and peaks at 955 and 794 cm−1 corresponding to the Si-O-H feature peaks. For SiO2 @ Ag: ZIS QDs @ DMSNs, features such as O-H (3430 cm−1), -CH2 (2918, 2850 cm−1), C-O (1657 cm−1), C-C (1564 cm−1), and C-H (1383 cm−1) are observed, while the Si-CH2 (806 cm−1) characteristic peak disappears. This may be attributed to the forming of SiO2 film on the surface of Ag: ZIS QDs @ DMSNs, causing the disappearance of the Si-CH2. Additionally, the robust and broad absorption band in the 900–1300 cm−1 range is attributed to C-C, Si-O, and C-O/C-N. The broadening of the peaks in this range is due to the formation of hydrogen bonds between SiO2 @ Ag: ZIS QDs @ DMSNs molecules. The UV-Vis absorption spectra in Figure 4c show an absorption peak at approximately 290 nm for SiO2 @ Ag: ZIS QDs @ DMSNs with concentrations of 0.1 mg/mL, further confirming the successful loading of QDs. Figure 4d shows the fluorescence spectrum of SiO2 @ Ag: ZIS QDs @ DMSNs, exhibiting an emission wavelength of 600 nm under the optimal excitation wavelength of 300 nm. DMSNs themselves are non-fluorescent, and the successful loading of QDs imparts fluorescence to the composite material, making it suitable for applications in the field of immunochromatographic analysis. The zeta potential is an independent method to evaluate the stability of nanoparticles (Figure 4e). The zeta potential of DMSNs indicates a negative surface charge of −21.89 mV. The presence of quantum dots on the silica spheres causes a change in the zeta potential to −19.37 mV, suggesting relative instability of Ag: ZIS QDs @ DMSNs. This could be due to hindered loading efficiency, likely caused by spatial hindrance. Carboxylation reactions of hydrophilic quantum dots with residual amino groups on the surface of DMSNs reduce the zeta potential of Ag: ZIS QDs @ DMSNs. The zeta potential of SiO2 @ Ag: ZIS QDs @ DMSNs is −21.18 mV, almost identical to that of the silica spheres, indicating successful encapsulation with an outer silica layer. The zeta potential of amine-functionalized SiO2 @ Ag: ZIS QDs @ DMSNs is 14.11 mV, while carboxyl-functionalized SiO2 @ Ag: ZIS QDs @ DMSNs has a zeta potential of −37.09 mV, demonstrating that hydrophilic layer encapsulation significantly improves the stability of SiO2 @ Ag: ZIS QDs @ DMSNs in water.

3.2. Optimization of the Preparation of Ag: ZIS QDs @ DMSNs

Due to the novelty of the Ag: ZIS QDs @ DMSNs composite material being the first successful preparation of Ag: ZIS QDs combined with DMSNs, it is necessary to explore the impact of the amount of Ag: ZIS QDs on the fluorescence intensity and investigate the optimal ratio of Ag: ZIS QDs to DMSNs. Different volumes (30, 50, 60, 70, 80 μL) of Ag: ZIS QDs aqueous solution add 10 mg of DMSNs, and the fluorescence intensity of the resulting composite materials is shown in Figure S2. The results indicate that the fluorescence intensity of Ag: ZIS QDs @ DMSNs is maximized when adding 50 μL of Ag: ZIS QDs aqueous solution. The fluorescence intensity decreases when the amount of Ag: ZIS QDs is below or above 50 μL. When the addition amount of quantum dots exceeds 50 μL, adhesion is likely to occur between composite nanospheres, leading to the aggregation of nanospheres and thus their inability to be applied in LFIA. Therefore, centrifugation and screening are performed after adhesion occurs, resulting in a decrease in fluorescence intensity. Therefore, the group with the most vigorous fluorescence intensity was selected as the signaling material to achieve susceptible and rapid detection of IBV. As shown in Figure S2, SiO2 @ Ag: ZIS QDs @ DMSNs exhibits bright orange fluorescence under 365 nm ultraviolet light, demonstrating excellent water solubility and providing a stable foundation for subsequent detection. The orange fluorescence helps eliminate interference caused by the blue fluorescence background. Thus, from the perspective of fluorescence color, using SiO2 @ Ag: ZIS QDs @ DMSNs as a signaling material significantly enhances detection sensitivity. To further explore the stability of SiO2 @ Ag: ZIS QDs @ DMSNs composite material, we assessed its signal intensity stability at different pH values (ranging from 2 to 12). As shown in Figures S3 and S4, SiO2 @ Ag: ZIS QDs @ DMSNs exhibits good stability in acidic and alkaline solutions, whereas Ag: ZIS QDs @ DMSNs shows poor acid-alkali resistance. This significant improvement in pH stability is attributed to the unique surface characteristics of the silica shell. Additionally, we evaluated the signal intensity stability of SiO2 @ Ag: ZIS QDs @ DMSNs under long-term storage conditions. The results indicate that the fluorescence intensity of SiO2 @ Ag: ZIS QDs @ DMSNs is hardly affected by time, meeting the requirements of LFIA (Figure S5).

3.3. Rapid and Sensitive Detection of IBV Using LFIA Test Strips Based on SiO2 @ Ag: ZIS QDs @ DMSNs

The detection principle is based on a direct detection format using the sandwich immunoassay, where the target antigen is captured between the capture antibody on the detector and the test system. The process begins with binding the fluorescent signal moiety to the target IBV protein. An immune complex is formed after the conjugate interacts with the target antigen. This immune complex flows through the NC membrane due to capillary force, and it is captured at the T line position and composed of captured mAbB molecules. The formation of the sandwich complex causes particle aggregation at the T line, enabling the observation of the fluorescent detection signal. Excess and unbound conjugates then migrate past the C line, where goat anti-mouse IgG antibodies capture them to validate the accuracy of the device’s operation. This three-layered sandwich immunoassay provides a direct and efficient method for detecting the target protein in the context of IBV, enhancing the sensitivity and specificity of the diagnostic system [37].
Based on the excellent fluorescent properties, stability, and dispersibility of SiO2 @ Ag: ZIS QDs @ DMSNs, we employed them as fluorescent signal molecules, coupled with IBV-Ab2, for the specific detection of IBV antigen in LFIA format. As shown in Figure 5a, in the presence of the target analyte (IBV), the sandwich immune reaction selectively captures the SiO2 @ Ag: ZIS QDs @ DMSNs antibody conjugate on the test line, generating a positive fluorescent signal. Conversely, the absence of SiO2 @ Ag: ZIS QDs @ DMSNs fluorescence on the test line indicates the absence of the target antigen in the sample, resulting in a negative result. In both cases (presence and absence of antigen), the goat anti-mouse IgG antibody that is immobilized on the control line binds to the anti-IVB-Ab2 that is conjugated to the SiO2 @ Ag: ZIS QDs @ DMSNs. The test strips were visualized using a 365 nm UV lamp. The quantitative concentration of the analyte in the sample was further determined by calculating the ratio of the fluorescence intensity of the test line to the control line (T/C).
Different concentrations (0, 1, 5, 10, 20, 40 ng/mL) of IBV antigen standard solutions were analyzed using SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA to assess sensitivity. The results of the test paper were analyzed using a Huawei smartphone, as shown in Figure 5b. All control lines on the test strips exhibited fluorescent signals, indicating the validity of the test results. The results demonstrated an LOD of approximately 1 ng/mL for IBV. SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA fully utilized the high orange fluorescence intensity of Ag: ZIS QDs, effectively lowering the detection limit. The signal intensity of the T and C lines was quantified using ImageJ software. The relationship between the brightness of the T line analyzed by ImageJ software and IBV concentration was represented by y = 0.104x − 0.131 (R2 = 0.981), as shown in Figure 5c.
In addition, we conducted a thorough investigation on the stability of SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA. By placing the labeled antibody conjugate for different durations and then applying it to the test strip for testing, we found that its biological activity did not decrease significantly. As shown in Figure S6, even after a period of storage, the labeled antibody conjugate can still maintain good fluorescence signals and detection performance. This result fully demonstrates that the SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA test strip has excellent stability and can maintain stable detection performance under different conditions.
Evaluating the intra- and inter-assay CV is fundamental for accurately identifying the target analyte using SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA. The precision of SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA was assessed using a standard solution containing 100 ng/mL IBV antigen. Intra- and inter-batch measurements were performed in quintuplicate. As shown in Table S1, both intra and inter-assay CVs were below 9%, indicating that SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA exhibited highly satisfactory accuracy. Additionally, the specificity of SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA was validated by assessing three biomarkers, Zika virus (ZIKA), alpha-fetoprotein (AFP), and human chorionic gonadotropin (HCG), at a concentration of 1 μg/mL. As depicted in Figure 6, except for IBV, no orange fluorescence was observed on the test line for the other three biomarkers, demonstrating the excellent selectivity of SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA. Furthermore, Table S2 presents a comparative analysis of the analytical performance of diverse methods for IBV detection. SiO2 @ Ag: ZIS QDs @DMSNs-LFIA offers the advantages of rapidity and convenience. When compared to fluorescence sensing methods, SiO2 @ Ag: ZIS QDs @DMSNs-LFIA exhibits a lower LOD than colloidal gold test strip, and is more portable and cost-effective, thus demonstrating excellent application value.

4. Conclusions

In summary, we have developed a SiO2 @ Ag: ZIS QDs @DMSNs-based LFIA that is simple, sensitive, and specific. This innovative material exhibits orange fluorescence, which could effectively mitigate background fluorescence interference commonly encountered in test strips. The developed sensor facilitates rapid detection, is capable of delivering results within a brief period of 10 min, and is characterized by its ease of operation, demanding a minimal sample volume of just 30 μL. Furthermore, the biosensor demonstrates a detection limit for IBV of 1 ng/mL, significantly surpassing conventional colloidal gold strips. The resultant sensor enables rapid detection and is user-friendly, requiring only 30 μL of sample. Furthermore, the biosensor demonstrates a detection limit for IBV of 1 ng/mL, significantly surpassing conventional colloidal gold strips. Our research not only advances influenza detection, but also lays the groundwork for the development of highly sensitive and adaptable diagnostic tools.

Supplementary Materials

The following supporting information can be downloaded at https://www.mdpi.com/article/10.3390/chemosensors12040068/s1, Figure S1. (a) TEM images of DMSNs and the corresponding particle size distribution (inset); (b) TEM image of Ag: ZIS QDs @ DMSNs; (c) TEM image of SiO2 @ Ag: ZIS QDs @ DMSNs; (d) EDS mapping images of SiO2 @ Ag: ZIS QDs @ DMSNs; Figure S2: The effect of QDs addition amount on the fluorescence properties of SiO2 @ Ag: ZIS QDs @ DMSNs (the inset is the fluorescence photos of SiO2 @ Ag: ZIS QDs @ DMSNs); Figure S3: Photos of Ag: ZIS QDs @ DMSNs aqueous solutions at different pH values under a 365 nm fluorescent lamp; Figure S4: Photos of SiO2 @ Ag: ZIS QDs @ DMSNs aqueous solutions at different pH values under a 365 nm fluorescent lamp; Figure S5: Fluorescence signal intensity of SiO2 @ Ag: ZIS QDs @ DMSNs under long-term storage; Figure S6: Study on the Stability of SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA; Table S1: The results of the CV of SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA (IBV); Table S2: Summary of IBV detection with some different detection methods. Reference [38] is cited in the Supplementary Materials

Author Contributions

Conceptualization, S.-N.D.; Methodology, J.-X.H. and S.-N.D.; Validation, J.-X.H.; Investigation, J.-X.H., L.-B.Z. and S.-T.W.; Resources, S.-N.D.; Data Curation, J.-X.H.; Writing—Original Draft Preparation, J.-X.H.; Writing—Review and Editing, J.-X.H., L.-B.Z., S.-T.W. and S.-N.D.; Visualization, J.-X.H.; Supervision, S.-N.D.; Project Administration, S.-N.D.; Funding Acquisition, S.-N.D. All authors have read and agreed to the published version of the manuscript.

Funding

This work was supported by the National Natural Science Foundation of China (21575022), and the National Key Research and Development Program of China (2017YFA0700404).

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this study are available on request from the corresponding author.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Su, S.; Chaves, S.S.; Perez, A.; D’Mello, T.; Kirley, P.D.; Yousey-Hindes, K.; Farley, M.M.; Harris, M.; Sharangpani, R.; Lynfield, R.; et al. Comparing clinical characteristics between hospitalized adults with laboratory-confirmed influenza A and B virus infection. Clin. Infect. Dis. 2014, 59, 252–255. [Google Scholar] [CrossRef] [PubMed]
  2. Chan, P.K.S.; Chan, M.C.W.; Cheung, J.L.K.; Lee, N.; Leung, T.F.; Yeung, A.C.M.; Wong, M.C.S.; Ngai, K.L.K.; Nelson, E.A.S.; Hui, D.S.C. Influenza B lineage circulation and hospitalization rates in a subtropical city, Hong Kong, 2000–2010. Clin. Infect. Dis. 2013, 56, 677–684. [Google Scholar] [CrossRef] [PubMed]
  3. Paddock, C.D.; Liu, L.; Denison, A.M.; Bartlett, J.H.; Holman, R.C.; Deleon-Carnes, M.; Emery, S.L.; Drew, C.P.; Shieh, W.J.; Uyeki, T.M.; et al. Myocardial injury and bacterial pneumonia contribute to the pathogenesis of fatal influenza B virus infection. J. Infect. Dis. 2012, 205, 895–905. [Google Scholar] [CrossRef] [PubMed]
  4. Liang, J.; Wu, L.; Wang, Y.; Liang, W.; Hao, Y.; Tan, M.; He, G.; Lv, D.; Wang, Z.; Zeng, T.; et al. SERS/photothermal-based dual-modal lateral flow immunoassays for sensitive and simultaneous antigen detection of respiratory viral infections. Sensors Actuators B Chem. 2023, 389, 133875. [Google Scholar] [CrossRef]
  5. Duev-Cohen, A.; Isaacson, B.; Berhani, O.; Charpak-Amikam, Y.; Friedman, N.; Drori, Y.; Mandelboim, M.; Mandelboim, O. Altered NKp46 recognition and elimination of influenza B viruses. Viruses 2021, 13, 34. [Google Scholar] [CrossRef] [PubMed]
  6. Asif, M.; Xu, Y.; Xiao, F.; Sun, Y. Diagnosis of COVID-19, vitality of emerging technologies and preventive measures. Chem. Eng. J. 2021, 423, 130189. [Google Scholar] [CrossRef] [PubMed]
  7. Han, M.S.; Byun, J.H.; Cho, Y.; Rim, J.H. RT-PCR for SARS-CoV-2: Quantitative versus qualitative. Lancet Infect. Dis. 2021, 21, 165. [Google Scholar] [CrossRef] [PubMed]
  8. Madadelahi, M.; Agarwal, R.; Martinez-Chapa, S.O.; Madou, M.J. A roadmap to high-speed polymerase chain reaction (PCR): COVID-19 as a technology accelerator. Biosens. Bioelectron. 2024, 246, 115830. [Google Scholar] [CrossRef]
  9. Baldofski, S.; Hoffmann, H.; Lehmann, A.; Breitfeld, S.; Garbe, L.A.; Schneider, R.J. Enzyme-linked immunosorbent assay (ELISA) for the anthropogenic marker is lithocholic acid in water. J. Environ. Manag. 2016, 182, 612–619. [Google Scholar] [CrossRef]
  10. Zhang, Y.; Zhao, S.; Zheng, J.; He, L. Surface-enhanced Raman spectroscopy (SERS) combined techniques for high-performance detection and characterization. TrAC Trends Anal. Chem. 2017, 90, 1–13. [Google Scholar] [CrossRef]
  11. Hu, J.X.; Ding, S.N. In situ synthesis of highly fluorescent, phosphorus-doping carbon-dot-functionalized, dendritic silica nanoparticles applied for multi-component lateral flow immunoassay. Sensors 2023, 24, 19. [Google Scholar] [CrossRef] [PubMed]
  12. Zong, H.; Zhang, S.; Shang, X.; Jiang, H.; Zhao, Z.; Chen, S.; Wang, X.; Wang, Y.; Jiang, Y.; Li, X.; et al. Development of an AlphaLISA assay for sensitive and accurate detection of influenza B virus. Front. Med. 2023, 10, 1155551. [Google Scholar] [CrossRef]
  13. Wu, W.; Li, M.; Chen, M.; Li, L.; Wang, R.; Chen, H.; Chen, F.; Mi, Q.; Liang, W.; Chen, H. Development of a colloidal gold immunochromatographic strip for rapid detection of Streptococcus agalactiae in tilapia. Biosens. Bioelectron. 2017, 91, 66–69. [Google Scholar] [CrossRef] [PubMed]
  14. Wu, Y.; Wu, M.; Liu, C.; Tian, Y.; Fang, S.; Yang, H.; Li, B.; Liu, Q. Colloidal gold immunochromatographic test strips for broad-spectrum detection of Salmonella. Food Control 2021, 126, 108052. [Google Scholar] [CrossRef]
  15. Yao, Y.; Zou, M.; Wu, H.; Ma, S.; Gu, X.; Zhou, M.; Zhao, F.; Abudushalamua, G.; Xiao, F.; Chen, Y.; et al. A colloidal gold test strip based on catalytic hairpin assembly for the clinical detection of influenza a virus nucleic acid. Talanta 2023, 265, 124855. [Google Scholar] [CrossRef]
  16. Wang, Y.; Wang, T.; Wang, M.; Wang, J.; Xu, Z.; Zhang, H. Photothermal card reader assay using the commercial colloidal gold test strip for the rapid quantitative detection of food hazards. Mikrochim. Acta 2022, 189, 112. [Google Scholar] [CrossRef]
  17. Huang, D.; Lin, B.; Song, Y.; Guan, Z.; Cheng, J.; Zhu, Z.; Yang, C. Staining traditional colloidal gold test strips with Pt nanoshell enables quantitative point-of-care testing with simple and portable pressure meter readout. ACS Appl. Mater. Interfaces 2019, 11, 1800–1806. [Google Scholar] [CrossRef]
  18. Moon, H.; Lee, C.; Lee, W.; Kim, J.; Chae, H. Stability of quantum dots, quantum dot films, and quantum dot light-emitting diodes for display applications. Adv. Mater. 2019, 31, 14. [Google Scholar] [CrossRef]
  19. Foubert, A.; Beloglazova, N.V.; De Saeger, S. Comparative study of colloidal gold and quantum dots as labels for multiplex screening tests for multi-mycotoxin detection. Anal. Chim. Acta 2017, 955, 48–57. [Google Scholar] [CrossRef]
  20. Jang, G.; Jo, D.Y.; Ma, S.; Lee, J.; Son, J.; Lee, C.U.; Jeong, W.; Yang, S.; Park, J.H.; Yang, H.; et al. Core-shell perovskite quantum dots for highly selective room-temperature spin light-emitting diodes. Adv. Mater. 2024, 36, e2309335. [Google Scholar] [CrossRef]
  21. Fang, B.; Xiong, Q.; Duan, H.; Xiong, Y.; Lai, W. Tailored quantum dots for enhancing sensing performance of lateral flow immunoassay. TrAC Trends Anal. Chem. 2022, 157, 116754. [Google Scholar] [CrossRef]
  22. Gao, F.; Liu, C.; Yao, Y.; Lei, C.; Li, S.; Yuan, L.; Song, H.; Yang, Y.; Wan, J.; Yu, C. Quantum dots’ size matters for balancing their quantity and quality in label materials to improve lateral flow immunoassay performance for C-reactive protein determination. Biosens. Bioelectron. 2022, 199, 113892. [Google Scholar] [CrossRef] [PubMed]
  23. Chen, J.; Jiang, J.; Liang, J.; Wu, H.; Chen, L.; Xu, Z.; Lei, H.; Li, X. Bifunctional magnetic ZnCdSe/ZnS quantum dots nanocomposite-based lateral flow immunoassay for ultrasensitive detection of streptomycin and dihydrostreptomycin in milk, muscle, liver, kidney, and honey. Food Chem. 2023, 406, 135022. [Google Scholar] [CrossRef] [PubMed]
  24. Li, H.; Dong, B.; Dou, L.; Yu, W.; Yu, X.; Wen, K.; Ke, Y.; Shen, J.; Wang, Z. Fluorescent lateral flow immunoassay for highly sensitive detection of eight anticoagulant rodenticides based on cadmium-free quantum dot-encapsulated nanospheres. Sens. Actuators B Chem. 2020, 324, 128771. [Google Scholar] [CrossRef]
  25. Rong, Z.; Bai, Z.; Li, J.; Tang, H.; Shen, T.; Wang, Q.; Wang, C.; Xiao, R.; Wang, S. Dual-color magnetic-quantum dot nanobeads as versatile fluorescent probes in test strip for simultaneous point-of-care detection of free and complexed prostate-specific antigen. Biosens. Bioelectron. 2019, 145, 111719. [Google Scholar] [CrossRef] [PubMed]
  26. Wang, N.; Liu, Z.X.; Li, R.S.; Zhang, H.Z.; Huang, C.Z.; Wang, J. The aggregation-induced emission quenching of graphene quantum dots for visualizing the dynamic invasions of cobalt(ii) into living cells. J. Mater. Chem. B 2017, 5, 6394–6399. [Google Scholar] [CrossRef] [PubMed]
  27. Kim, K.S.; Zakia, M.; Yoon, J.; Yoo, S.I. Metal-enhanced fluorescence in polymer composite films with Au @ Ag@SiO2 nanoparticles and InP@ZnS quantum dots. RSC Adv. 2018, 9, 224–233. [Google Scholar] [CrossRef] [PubMed]
  28. Li, J.; Lv, Y.; Li, N.; Wu, R.; Xing, M.; Shen, H.; Li, L.S.; Chen, X. Robust synthesis of bright multiple quantum dot-embedded nanobeads and its application to quantitative immunoassay. Chem. Eng. J. 2019, 361, 499–507. [Google Scholar] [CrossRef]
  29. Ezhov, A.A.; Karpov, O.N.; Merekalov, A.S.; Abramchuk, S.S.; Bondarenko, G.N.; Talroze, R.V. Quantum dots—Polymer composites and the influence of gold nanoparticles on photoluminescence of polymer composite films. J. Lumin. 2020, 220, 116992. [Google Scholar] [CrossRef]
  30. Li, C.; Zou, Z.; Liu, H.; Jin, Y.; Li, G.; Yuan, C.; Xiao, Z.; Jin, M. Synthesis of polystyrene-based fluorescent quantum dots nanolabel and its performance in H5N1 virus and SARS-CoV-2 antibody sensing. Talanta 2021, 225, 122064. [Google Scholar] [CrossRef]
  31. Wang, C.; Yang, X.; Zheng, S.; Cheng, X.; Xiao, R.; Li, Q.; Wang, W.; Liu, X.; Wang, S. Development of an ultrasensitive fluorescent immunochromatographic assay based on multilayer quantum dot nanobead for simultaneous detection of SARS-CoV-2 antigen and influenza A virus. Sens. Actuators B Chem. 2021, 345, 130372. [Google Scholar] [CrossRef]
  32. Liu, H.; Cao, J.; Ding, S.N. Simultaneous detection of two ovarian cancer biomarkers in human serums with biotin-enriched dendritic mesoporous silica nanoparticles-labeled multiplex lateral flow immunoassay. Sens. Actuators B Chem. 2022, 371, 132597. [Google Scholar] [CrossRef]
  33. Gao, F.; Lei, C.; Liu, Y.; Song, H.; Kong, Y.Q.; Wan, J.J.; Yu, C.Z. Rational design of dendritic mesoporous silica nanoparticles’ surface chemistry for quantum dot enrichment and an ultrasensitive lateral flow immunoassay. ACS Appl. Mater. Interfaces 2021, 13, 21507–21515. [Google Scholar] [CrossRef]
  34. Zhu, L.B.; Ding, S.N. Enhancing the photocatalytic performance of antibiotics using a Z-Scheme heterojunction of 0D ZnIn2S4 quantum dots and 3D hierarchical inverse opal TiO2. Molecules 2023, 28, 7174. [Google Scholar] [CrossRef]
  35. Xu, L.D.; Zhu, J.; Ding, S.N. Highly-fluorescent carbon dots grown onto dendritic silica nanospheres for anthrax protective antigen detection. Anal. Methods 2022, 14, 1836–1840. [Google Scholar] [CrossRef]
  36. Valdman, L.; Mazánek, V.; Marvan, P.; Serra, M.; Arenal, R.; Sofer, Z. Layered ZnIn2S4 single crystals for ultrasensitive and wearable photodetectors. Adv. Opt. Mater. 2021, 9, 2100845. [Google Scholar] [CrossRef]
  37. Yin, X.; Liu, S.; Kukkar, D.; Wang, J.; Zhang, D.; Kim, K.-H. Performance enhancement of the lateral flow immunoassay by use of composite nanoparticles as signal labels. TrAC Trends Anal. Chem. 2024, 170, 117441. [Google Scholar] [CrossRef]
  38. Raji, M.A.; Aloraij, Y.; Alhamlan, F.; Suaifan, G.; Weber, K.; Cialla-May, D.; Popp, J.; Zourob, M. Development of rapid colorimetric assay for the detection of Influenza A and B viruses. Talanta 2021, 221, 121468. [Google Scholar] [CrossRef]
Figure 1. Synthesis process diagram of SiO2 @ Ag: ZIS QDs @ DMSNs.
Figure 1. Synthesis process diagram of SiO2 @ Ag: ZIS QDs @ DMSNs.
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Figure 2. (a) TEM images of DMSNs; (b) TEM image of Ag: ZIS QDs @ DMSNs; (c) TEM image of SiO2 @ Ag: ZIS QDs @ DMSNs; (di) EDS mapping images of SiO2 @ Ag: ZIS QDs @ DMSNs.
Figure 2. (a) TEM images of DMSNs; (b) TEM image of Ag: ZIS QDs @ DMSNs; (c) TEM image of SiO2 @ Ag: ZIS QDs @ DMSNs; (di) EDS mapping images of SiO2 @ Ag: ZIS QDs @ DMSNs.
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Figure 3. (a) TEM image of Ag: ZIS QDs and the corresponding particle size distribution (inset); (b) the lattice stripe image of Ag: ZIS QDs.
Figure 3. (a) TEM image of Ag: ZIS QDs and the corresponding particle size distribution (inset); (b) the lattice stripe image of Ag: ZIS QDs.
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Figure 4. (a) XRD of DMSNs and SiO2 @ Ag: ZIS QDs @ DMSNs; (b) FT-IR spectra of DMSNs and SiO2 @ Ag: ZIS QDs @ DMSNs; (c) UV-vis absorption spectra of SiO2 @ Ag: ZIS QDs @ DMSNs; (d) fluorescence emission spectra and excitation spectra of SiO2 @ Ag: ZIS QDs @ DMSNs; (e) ζ-potential of DMSNs, DMSNs-NH2, SiO2 @ Ag: ZIS QDs @ DMSNs, SiO2 @ Ag: ZIS QDs @ DMSNs-NH2, and SiO2 @ Ag: ZIS QDs @ DMSNs-COOH.
Figure 4. (a) XRD of DMSNs and SiO2 @ Ag: ZIS QDs @ DMSNs; (b) FT-IR spectra of DMSNs and SiO2 @ Ag: ZIS QDs @ DMSNs; (c) UV-vis absorption spectra of SiO2 @ Ag: ZIS QDs @ DMSNs; (d) fluorescence emission spectra and excitation spectra of SiO2 @ Ag: ZIS QDs @ DMSNs; (e) ζ-potential of DMSNs, DMSNs-NH2, SiO2 @ Ag: ZIS QDs @ DMSNs, SiO2 @ Ag: ZIS QDs @ DMSNs-NH2, and SiO2 @ Ag: ZIS QDs @ DMSNs-COOH.
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Figure 5. (a) The detection process of IBV using SiO2 @ Ag: ZIS QDs @ DMSNs; (b) the picture of the SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA detecting different concentrations of IBV solutions; (c) linear response of the SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA to IBV detection, with a concentration range of 40 ng/mL−1 ng/mL.
Figure 5. (a) The detection process of IBV using SiO2 @ Ag: ZIS QDs @ DMSNs; (b) the picture of the SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA detecting different concentrations of IBV solutions; (c) linear response of the SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA to IBV detection, with a concentration range of 40 ng/mL−1 ng/mL.
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Figure 6. Study on the specificity of SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA test strip to different interfering proteins.
Figure 6. Study on the specificity of SiO2 @ Ag: ZIS QDs @ DMSNs-LFIA test strip to different interfering proteins.
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Hu, J.-X.; Zhu, L.-B.; Wu, S.-T.; Ding, S.-N. Rapid and Sensitive Detection of Influenza B Virus Employing Nanocomposite Spheres Based on Ag-Doped ZnIn2S4 Quantum Dots. Chemosensors 2024, 12, 68. https://doi.org/10.3390/chemosensors12040068

AMA Style

Hu J-X, Zhu L-B, Wu S-T, Ding S-N. Rapid and Sensitive Detection of Influenza B Virus Employing Nanocomposite Spheres Based on Ag-Doped ZnIn2S4 Quantum Dots. Chemosensors. 2024; 12(4):68. https://doi.org/10.3390/chemosensors12040068

Chicago/Turabian Style

Hu, Jia-Xuan, Li-Bang Zhu, Sheng-Tong Wu, and Shou-Nian Ding. 2024. "Rapid and Sensitive Detection of Influenza B Virus Employing Nanocomposite Spheres Based on Ag-Doped ZnIn2S4 Quantum Dots" Chemosensors 12, no. 4: 68. https://doi.org/10.3390/chemosensors12040068

APA Style

Hu, J. -X., Zhu, L. -B., Wu, S. -T., & Ding, S. -N. (2024). Rapid and Sensitive Detection of Influenza B Virus Employing Nanocomposite Spheres Based on Ag-Doped ZnIn2S4 Quantum Dots. Chemosensors, 12(4), 68. https://doi.org/10.3390/chemosensors12040068

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