Theranostics 2022; 12(6):2801-2810. doi:10.7150/thno.70092 This issue Cite

Research Paper

Avoiding the self-nucleation interference: a pH-regulated gold in situ growth strategy to enable ultrasensitive immunochromatographic diagnostics

Hong Duan1*, Tongtong Ma1*, Xiaolin Huang1 Corresponding address, Bao Gao1, Lingyan Zheng2, Xirui Chen1, Yonghua Xiong1 Corresponding address, Xiaoyuan Chen3,4,5

1. State Key Laboratory of Food Science and Technology, School of Food Science and Technology, Nanchang University, Nanchang 330047, P. R. China
2. Beijing Engineering and Technology Research Center of Food Additives, Beijing Technology & Business University, Beijing 100048, P. R. China
3. Departments of Diagnostic Radiology, Surgery, Chemical and Biomolecular Engineering, and Biomedical Engineering, Yong Loo Lin School of Medicine and Faculty of Engineering, National University of Singapore, Singapore, 119074, Singapore
4. Clinical Imaging Research Centre, Centre for Translational Medicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117599, Singapore
5. Nanomedicine Translational Research Program, NUS Center for Nanomedicine, Yong Loo Lin School of Medicine, National University of Singapore, Singapore 117597, Singapore
*These authors contributed equally to this work.

Duan H, Ma T, Huang X, Gao B, Zheng L, Chen X, Xiong Y, Chen X. Avoiding the self-nucleation interference: a pH-regulated gold in situ growth strategy to enable ultrasensitive immunochromatographic diagnostics. Theranostics 2022; 12(6):2801-2810. doi:10.7150/thno.70092.
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Background: Gold nanoparticle-based immunochromatographic assay (AuNP-ICA) has insufficient sensitivity due to its inherent colorimetric signal intensity and low capture efficiency of AuNPs. The metal in situ growth is a common strategy to enhance the sensitivity of AuNP-ICA due to its superior signal amplification potential and simple operation. However, the detection distortion caused by metal self-nucleation during the growth process can seriously affect the accuracy and reproducibility of the strips.

Methods: We present a pH-regulated gold in situ growth (GISG) strategy to amplify the colorimetric signal and demonstrate its application in improving the performance of traditional AuNP-ICA. The controllable growth signal amplification is achieved by lowering the pH of the growth solution to weaken the reducibility of hydroxylamine (HA), thus urging the crystallization and growth of Au3+ on the AuNP surface instead of free reduction and self-nucleation. In addition, the mechanism of pH regulation on HA reducibility is elucidated by introducing an electron-donating or electron-withdrawing group to affect the electron density of hydroxyl group.

Results: The proposed GISG strategy shows improved sensitivity, low background, robust operation, and good reproducibility. The LOD values of the designed GISG-amplified AuNP-ICA are as low as 0.0198 ng mL-1 for hepatitis B surface antigen and 0.0125 ng mL-1 for HIV-1 capsid p24 antigen, which are lower by about 500- and 70-fold, respectively, than those of the unamplified AuNP-ICA.

Conclusions: This method is extended to enable ultrasensitive and rapid diagnosis of viral infections, and has potential as a general signal amplification platform to redefine immunochromatographic diagnostics.

Keywords: Immunochromatographic assay, Gold in situ growth, Hydroxylamine, Signal amplification


Gold nanoparticle-based immunochromatographic assay (AuNP-ICA) is one of the most popular point-of-care (POC) diagnostic devices, and has been widely used in various areas ranging from clinical diagnosis to food safety and environmental monitoring due to its simplicity, portability, low cost, and user-friendly features [1-8]. However, traditional AuNP-ICA has the sensitivity in the range of ng mL-1 to μg mL-1 because of the relatively weak colorimetric signal brightness of 20-40 nm AuNPs and low immunoreaction efficiency (≤ 5%) of AuNP probes on the test (T) line [9-12].The suboptimal sensitivity of conventional AuNP-ICA is approximately 1-2 orders of magnitude lower than that of laboratory-based immunoassays, such as enzyme-linked immunosorbent assay and chemiluminescent immunoassay [13-15], and is far below the concentration ranges of some clinically relevant analytes especially in the early and recurrent stages of the disease [16-18]. Therefore, the detection limit (LOD) of traditional AuNP-ICA needs to be lowered substantially to achieve comparable sensitivities to laboratory test methods, thus facilitating its further application in certain situations requiring high sensitivity.

Several available strategies, including using AuNPs with high colorimetric signal brightness as alternatives [10, 11, 19-21], enhancing the capture efficiency of AuNP probes at the T zone [22-25], and conducting the in-situ signal amplification of AuNPs by nanoparticle aggregation [26-28], enzymatic deposition [29, 30], and metal growth [31-34], have been presented to enhance the detection sensitivity of traditional AuNP-ICA. Among these strategies, the metal in situ growth (MISG) has obtained the most widespread use due to its superior signal amplification potential and simple operation [12, 35, 36]. The MISG strategy generally depends on the deposition of metal shell onto the surface of AuNPs to enlarge the size of AuNPs and amplify the colorimetric signal on the detection area. An ideal MISG strategy should ensure the crystallization and growth of metal ions on the surface of AuNP probes rather than self-nucleation, which is the biggest challenge encountered by traditional MISG techniques. The unwanted self-nucleation of metal ions can cause high background on the test strip, thereby resulting in low reproducibility and false-positive results. In a typical MISG process, metal ions, such as Au3+, Ag+, and Cu2+, are reduced to metal shells and then deposited on the surface of AuNPs in the presence of reducing agents [37]. The kinetics of nucleation and crystal growth of metal ions is determined by the reducing power of reductants. Currently, the reductants involved in MISG include hydroxylamine (HA) [38], hydroquinone [39, 40], and ascorbic acid [41]. HA is the most commonly used reducing agent for the gold in situ growth (GISG) strategy and has been reported to show 2-3 orders of magnitude improvement in the detection sensitivity compared with unamplified AuNP-ICA [31, 42]. Nevertheless, the traditional GISG strategy by using HA as a reductant suffers the huge risk of Au self-nucleation on the test strip owing to the superfluous reducibility of HA at high pH of 7.0 over the pKa of HA (5.80-5.90) [43]. Although this dilemma can be effectively alleviated by strictly controlling HA concentration and reducing time, this delicate operation remarkably limits its flexible use in practice.

The working principle of HA-mediated GISG depends on the oxidation-reduction reaction of HAuCl4 and NH2OH, i.e., 4HAuCl4 + 6NH2OH = 4Au(s) + 3N2O + 3H2O + 16HCl [44]. Considering the different reactivities of NH2OH and NH3OH+ to Au3+ the reaction kinetics of Au3+ with HA is expected to be sensitive to the solution pH because NH2OH and NH3OH+ are present in its aqueous solution [45]. From the kinetic viewpoint of redox reaction, the reduction efficiency of Au3+ to Au atoms by HA is remarkably reduced or even suppressed with decreased solution pH because the protonation of the amino group of HA results in increased NH3OH+ production with low reduction power. In addition, the protonation of HA at acidic pH can reduce the electron density between N and O atoms, resulting in difficult donation of electrons to Au3+ to promote its crystallization and further growth [46, 47]. Therefore, the regulation of HA reducibility by solution pH provides an opportunity to control the nucleation and growth kinetics of Au3+. Under an appropriate acidic pH, the spontaneous nucleation of Au3+ by HA is completely prevented. By contrast, Au crystallization and in situ growth on the surface of AuNP probes can be achieved with Au surface-synergized catalytic reduction attributed to the decreased free energy of redox reaction, thus favoring the robustness and reproducibility of GISG-based signal amplification.

Herein, we report an improved HA-mediated GISG signal amplification strategy to enhance the detection performance of ICA strip substantially. Figure 1A depicts the working mechanism of this GISG-amplified ICA method. In contrast to the traditional GISG method conducted at high pH (i.e., 7.0), our improved GISG technology is enabled by simply adjusting the solution pH to an acidic condition (i.e., 2.0) to suppress free reduction and self-nucleation of Au3+ and ensure gold crystallization and growth on the surface of AuNP probes with the aid of AuNP synergistic reduction (Figure 1B). This strategy can markedly enlarge the size of AuNPs accumulated on the T and control (C) lines by the antigen-antibody reaction to enhance colorimetric signal intensity with low and even “zero” background signals. The proposed GISG strategy is carried out at different pH values to explore the effect of solution pH on HA reducibility and Au3+ reaction kinetics. The nucleation and growth of Au3+ with and without AuNP probes are characterized by monitoring the consumption rate of Au3+ and the amount of gold crystallizations. Additionally, N-tert-butylhydroxylamine (N-HA) and N-hydroxyacetamide (A-HA) consisting of electron-donating (tertiary butyl) and electron-withdrawing (acetyl) groups, respectively, on the amino group, are selected as HA substitutes to investigate the reducing mechanism of HA by pH regulation. By combining with the ICA strip, the performance of the proposed pH-controlled GISG strategy in terms of sensitivity, background, selectivity, reproducibility, and practicality is characterized. Collectively, the improved GISG strategy provides unique superiorities over the conventional GISG method in ICA applications, including low background, robust operation, and good reproducibility and holds remarkable promise as a versatile signal amplification technology to drive the evolution and upgrade of AuNP-ICA.

 Figure 1 

(A) Schematic of the developed pH-regulated gold in situ growth-mediated signal amplification of strip nanobiosensor without any background. (B) Images of immunochromatographic test strips for AuNP growth at different pH values.

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Results and Discussion

The HA-mediated GISG method was performed by mixing 0.02% HAuCl4 with a series of HA concentrations under different pH conditions to confirm the pH-regulated reducibility. The consumption of Au3+ was used to monitor the process of gold crystallization and growth because the Au3+ concentration in the growth solution sharply decreased with the reduction of Au3+ into AuNPs. The Au3+ concentration was determined by measuring the characteristic absorption peak of HAuCl4 at 314 nm in accordance with a previous report (Figure S1) [48]. Furthermore, the gold crystallization and growth were characterized by analyzing the light scattering intensity of growth solution via a dynamic light scattering (DLS) analyzer [49]. The AuNPs produced from gold nucleation growth generated evident light scattering signals, whereas the gold growth solution containing chloric acid and HA does not. Results (Figure 2A, lavender area) showed that the consumption rate of Au3+ was related to solution pH, HA concentration, and growth time. When the solution pH was higher than 3.0, an evident light scattering signal in the gold growth solution was detected, indicating the occurrence of Au self-nucleation. This light scattering signal was remarkably enhanced with increasing solution pH and HA concentration (Figure 2B, lavender area). Furthermore, when the solution pH was raised to 6.0, Au3+ was totally consumed even at an extremely low HA concentration of 2.5 mM (Figure 2C), indicating the enhanced reducibility of HA with increasing solution pH. However, when the solution pH was decreased to 2.0, the Au3+ consumption was remarkably suppressed (Figure 2A), and almost no gold self-nucleation was observed even at long gold growth time (5 min) and high HA concentration (60 mM, Figure 2C). Moreover, we found that about 15%-25% Au3+ consumption was determined at pH 2.0 when HA concentration was as high as 80 mM, whereas almost no gold self-nucleation was observed (Figure 2C). It is supposed that Au3+ was reduced by HA into the transition nonionic state (Au0), thereby resulting in low absorbance at 314 nm [50, 51]. A similar phenomenon was observed at pH 3.0 with HA concentration below 20 mM. In addition, we found that the consumption rates of Au3+ remarkably increased after the addition of AuNP probes (bovine serum albumin [BSA]-coated AuNPs, abbreviated as AuNP@BSA) in the gold growth solution (thin cyan area of Figures 2A and 2C), indicating that the presence of AuNPs could promote the reduction of Au3+ into Au atoms and eventually form gold shell on the surface of AuNP probes. This finding was consistent with that of a previous report. It should be noticed thatthe suppressed crystallization and growth of Au3+ could be rebooted at solution pH of 2.0 and HA concentration of 40-60 mM after the addition of AuNP probes in the growth solution (Figure 2C), thus amplifying the AuNP signal with the low and even “zero” background on the test strip. The nucleation and growth of Au3+ were further explored by recording the color variances of growth solution at different pH values and HA concentrations. The concentration of HAuCl4 in this reaction system was increased to 30 mM to show the color difference. Results (Figure 2D) showed that at solution pH of 2.0, the color of growth solution without AuNP probes remained unchanged even at a high HA concentration (i.e., 80 mM). By contrast, after the addition of AuNP probes, the color of growth solution gradually changed to brownish red with increasing HA concentration, and evident brownish red precipitates were observed at the bottom of the test tube at HA concentration higher than 20 mM. However, when the solution pH increased to 4.0, an apparent color change was observed at HA concentration larger than 20 mM even without the addition of AuNP probes, suggesting the evident self-nucleation of Au3+ in this reaction system.

To evaluate the specificity of the synergic catalysis, we further mixed polystyrene (PsNPs), silica (SiO2NPs), platinum (PtNPs), and silver (AgNPs) nanoparticles with the gold growth solution containing 0.5% HAuCl4 and 40 mM HA at pH 2.0. Results (Figure 2E) showed that the gold growth solutions containing PtNPs and AgNPs were brownish black, whereas those containing PsNPs and SiO2NPs remained yellow. These phenomena showed that the AuNPs, PtNPs, and AgNPs could promote the nucleation growth of Au3+, whereas nonmetal nanoparticles could not facilitate the crystallization of Au3+, which indicated that only the presence of noble metal nanomaterials could synergistically promote the crystallization and growth of gold by reducing the free energy of redox reaction. The above results further verified that HA reducibility could be precisely controlled by simply adjusting the solution pH and that the self-nucleation of Au3+ triggered by HA was effectively suppressed at pH 2.0. Interestingly, the reducibility of HA to mediate the gold crystallization and growth could be regained with the aid of noble metal surface-synergized catalysis.

 Figure 2 

(A) Consumption kinetic curves of Au3+ in a series of concentrations of HA at different pH values within 5 min (thin cyan: with AuNP, lavender: without AuNP). (B) Consumption of Au3+ at 5 min under different pH values and concentrations of HA. (C) Intensity of scattered light of AuNP growth (with or without AuNPs) at 5 min under different pH values and concentrations of HA. (D) AuNP growth at 5 min under different pH values and concentrations of HA (+: with AuNPs, -: without AuNPs). (E) AuNP growth in different nanospheres before and after adding HA for 10 min.

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 Figure 3 

(A) Electron densities of hydroxy for N-HA, HA, and A-HA. (B) Consumption kinetic curves of Au3+. (C) Light intensity and (D) AuNP growth after adding HA (ⅱ) and N-HA (ⅰ) or A-HA (ⅲ) under conditions of pH 4 and 40 mM for 5 min.

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Two structural analogs, namely, N-HA and A-HA (Figure 3A), were designed as HA alternatives to investigate the nucleation and growth of Au3+ and further clarify the mechanism of HA-mediated GISG method. N-HA and A-HA contained electron-donating (tertiary butyl) and electron-withdrawing (acetyl) groups, respectively, on the amino group. The introduction of a tert-butyl or acetyl group could change the electron density of hydroxyl groups and result in increased or decreased reducibility. The two analogs were used as reducing reagents to mediate the gold crystallization and growth at pH 4.0 and verify this hypothesis. For comparison, HA was used as control group. Figure 3B indicates that regardless of the presence of AuNP probes, the consumption of Au3+ was distinctly promoted by N-HA but suppressed by A-HA. These results were confirmed by determining the light scattering intensity of the gold growth solution (Figure 3C). Figure 3D shows that regardless of the presence of existing AuNP probes, the color intensities of growth solutions with different reducing agents followed the order: growth solution with N-HA as reducing reagent > growth solution with HA as reducing reagent > growth solution with A-HA as reducing reagent. After the addition of AuNP probes, the light scattering intensity of N-HA-mediated GISG method showed a significant decrease with prolonged reduction time to 3 min (Figure 3B). The possible reason was that the overgrowth of AuNPs with a large size was prone to precipitation due to its poor colloidal stability. These results demonstrated that the reducibility of HA was determined by the electron density of hydroxyl group, thus providing an opportunity to control the nucleation and growth of gold precisely.

Subsequently, the pH-regulated GISG strategy was further verified on the strip by spraying AuNP@BSA on the nitrocellulose (NC) membrane as T line. The GISG strategy was executed by immersing the NC membrane in a premixed growth solution containing 1% HAuCl4 and a series of HA concentrations (2.5, 5, 10, 20, 40, and 80 mM) with pH values at 1.0, 2.0, 3.0, 4.0, and 5.0. After incubation for 30 min, the membrane was scanned using a commercial colloidal gold strip reader. The optical density of the T line (ODT) and the background signal of the NC membrane were used to characterize the signal amplification and self-nucleation, respectively. As shown in Figure 4A, at each studied pH of the solution, the T line color and ODT increased remarkably as the HA concentration rose, indicating that the high concentration of HA contributed to the crystallization and growth of gold. Moreover, we found that the generation of background signal at the NC membrane was closely related to the pH of growth solution. At solution pH of 1.0-2.0, the background color of the NC membrane had negligible change even at HA concentration as high as 80 mM compared with that of the untreated NC membrane (Figure 4A), and this finding was further confirmed by the low and constant noise signal recorded by the strip reader. However, by increasing the solution pH to 3.0, the background color of NC membrane gradually changed into weak brown-red with increased noise signal. Additionally, the background color and noise continued to increase with further increase in solution pH especially with increasing HA concentration. For example, at solution pH of 4.0 and HA concentration of 40 mM, the color of the NC membrane further deepened with many randomly distributed brown-red stains (Figure 4A), thus resulting in evident background color and signal interference for reducing the signal-to-noise ratio and producing false-positive results. These observations further proved that the self-nucleation of Au3+ on the test strip could be effectively suppressed by lowering the pH of the growth solution below 2.0, which was attributed to the intrinsic weak reducibility of HA at low pH. This result was consistent with that obtained by the test tube experiment.

 Figure 4 

(A) Images and gray values of immunochromatographic test strips for AuNP growth by prespraying the C and T lines with the color of the small gold particle invisible under the conditions of different pH values and continuously reduced concentration of HA. (B) SEM images of 5 min growth after subjecting different pH values and 40 mM HA to the original pre-sprayed immunochromatographic test strips with small-diameter AuNP. Here, two typical pH values of 2 and 5 are selected.

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The nucleation and growth of Au3+ on the NC membrane was further characterized by observing the T, C, and blank (B) zones of the strip via scanning electron microscopy (SEM) after conducting the GISG process at pH 2.0 and 5.0. T and C lines were sprayed with 20 pmol L-1 AuNP@BSA and 1 mg mL-1 BSA solution, respectively. Figure 4B showed that the strip without executing the GISG strategy only exhibited small-sized AuNPs evenly dispersed on the T zone (marked with red ring). Moreover, no AuNP was observed at B and C zones. After performing the GISG method at pH 2.0 and 5.0, a mass of AuNPs was found to aggregate on the T line, and the size of AuNPs was significantly enlarged from 20 nm to 100 nm. These phenomena suggested that the GISG-based signal amplification was derived from the enlargement of AuNP size. Notably, no AuNP was observed at the B and C zones after executing the GISG strategy at pH 2.0, whereas numerous AuNPs were found on these areas at pH 5. These findings further verified that the low pH of growth solution for the GISG (e.g., 2.0) could totally suppress the self-nucleation of Au3+ on the strip, thus ensuring low background, good robustness, and high reproducibility.

Given its unique advantages over the traditional GISG technique, the signal amplification performance of our proposed pH-regulated GISG method was further evaluated. Several key parameters that affected the signal amplification intensity, including the concentrations of HAuCl4 and HA and the reduction reaction time, were optimized at growth solution pH of 2.0. The difference in ODT (ΔODT) before and after the GISG treatment was used to achieve optimum growth conditions. The results in Figures S2A-C indicated that the optimum combinations were as follows: HAuCl4 and HA concentrations of 0.5% and 40 mM, respectively, and reaction time of 10 min, thus enabling maximal signals on the T line. The robustness of this GISG strategy was evaluated by soaking the strip in the growth solution for 2 h, and results in Figures S3A-B showed negligible signal changes in the OD values on the B and C areas (sprayed with BSA solution). The signal amplification potential of our developed GISG method was determined by spraying a series of AuNP@BSA within the concentration range of 0-1200 pM on the strip as T line and with 1200 pM AuNP@BSA as C line. Figures 5A-B displayed that with or without GISG treatment, the T line color and ODT of the strip gradually reduced as the AuNP@BSA concentration decreased, indicating that the GISG process did not affect the concentration-response relationship. However, the lowest response concentration of AuNP@BSA after growth was significantly decreased to 0.009 pM, which showed approximately 8333-fold improvement compared with that of the unamplified strip (75 pM). This result displayed ultrahigh signal amplification capability of the designed GISG method. The reproducibility of this pH-regulated GISG method was monitored by recording the OD values on the C line (ODC) of 20 test strips before and after growth. Figure 5C shows a remarkable increase in ODC from 507.5 ± 12.18 to 1382.2 ± 12.44 after GISG amplification with a variance coefficient (CV) of 0.9%. This low CV was comparable to that obtained before amplification (2.4%), implying the good reproducibility of our reported GISG strategy. The universality of the developed GISG method was characterized by spraying other types of signal labels, including PsNPs@BSA, SiO2NPs@BSA, PtNPs@BSA, and AgNPs@BSA, on the NC membrane as T lines. Figure S4 reveals that only the test strips immobilized with PtNPs@BSA and AgNPs@BSA produced significant signal increments on the T line, indicating excellent selectivity of the proposed GISG strategy for enhancing the signal and detection sensitivity of noble metal nanoparticle-based test strips. These results confirmed that the pH-regulated GISG strategy had many advantages in terms of signal amplification, reproducibility, universality, and selectivity and showed remarkable potential for enhancing the sensitivity of conventional AuNP-ICA.

 Figure 5 

(A) Images of original small-diameter AuNP and AuNP growth on strips for 12 min under the conditions of pH 2, 40 mM HA, and 0.5% HAuCl4. (B) Amplification curves of ODT value after AuNP growth. (C) ODC values before and after AuNP growth.

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Given its high signal amplification ability, the pH-regulated GISG method was further configured into the AuNP-ICA platform to improve the detection of hepatitis B surface antigen (HBsAg), the well-accepted serologic marker for the POC diagnosis of hepatitis B virus infection [52]. The development and optimization of AuNP-ICA included pH (Figure S5A) and amounts of anti-HBsAg mAbs for the preparation of AuNP probes (Figure S5B). The quantitative detection of HBsAg by using AuNP-ICA was performed by running a series of HBsAg solutions with concentrations ranging from 0 ng mL-1 to 5000 ng mL-1. Figures 6A-B show that the LOD of unamplified AuNP-ICA for HBsAg detection was 9.75 ng mL-1. After growth amplification, the LOD was down to 0.0198 ng mL-1, which was a 500-fold enhancement in sensitivity compared with that of unamplified AuNP-ICA. The amplified AuNP-ICA exhibited a good dynamic detection range from 0.039 ng mL-1 to 625 ng mL-1. The selectivity of AuNP-ICA was evaluated by determining six other serum biomarkers (1000 ng mL-1), namely, carcinoembryonic antigen, hepatitis C surface antigen, procalcitonin (PCT), alpha fetoprotein (AFP), prostate-specific antigen (PSA), and C-reactive protein (CRP). Figure 6C shows that the strips before and after growth amplification could selectively respond to HBsAg even at a 10-fold lower concentration over other serum biomarkers, confirming high selectivity of the proposed GISG method for HBsAg without any false-positive result. The precision and accuracy of the proposed amplified AuNP-ICA were estimated by determining the recoveries and CV of five spiked serum samples. As shown in Table S1, the average recoveries ranged from 82% to 120%, and CV values were 0.7% to 13.2%, indicating the acceptability of using the proposed GISG amplification strategy for the accurate and sensitive quantitative detection of HBsAg. The reliability of this amplified approach was further validated through a commercial chemiluminescence immunoassay kit by simultaneously analyzing 28 actual clinical serum samples (Figure 6D).

 Figure 6 

(A) Images of immunochromatographic strips for HBsAg detection before and after growth under the conditions of pH 2, 40 mM HA, and 0.5% HAuCl4. (B) Detection curves for HBsAg detection before and after growth. (C) Selectivity evaluation of the proposed method by determining signal responses against several common protein biomarkers in serum, including HBsAg (100 ng mL-1) and other nontargets, i.e., CEA, HCV, PCT, AFP, BSA, PSA, and CRP, at 1 μg mL-1. (D)Correlation analysis of the measured HBsAg concentrations between this proposed method and the clinically used HBsAg chemiluminescence assay kits in 28 human serum samples with target concentrations ranging from 0 ng mL-1 to 119.2 ng mL-1. (E) Images of immunochromatographic strips for P24 detection before and after growth under the conditions of pH 2, 40 mM HA, and 0.5% HAuCl4. (F) Detection curves for P24 detection before and after growth.

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The pH-regulated GISG method was further extended to enhance the POC testing of the HIV-1 capsid p24 antigen, the earliest biomarker after acute HIV infection to verify its universality. The early and sensitive detection of the p24 antigen could largely shorten the diagnostic window of HIV infection to promote timely intervention and interrupt virus transmission [53]. The detection of the p24 antigen by integrating the pH-regulated GISG amplification with the AuNP-ICA was evaluated (Figures 6E-F), thereby resulting in LOD of 12.5 pg mL-1. This LOD was about 72-fold enhancement in sensitivity the unamplified AuNP-ICA (900 pg mL-1) under the developed conditions (Figure S6A-B). Notably, the whole assay time for running the strip and performing the GISG procedure was only 20 min, which was still suitable for POC applications. These results corroborated the feasibility for the real-world applications of the designed pH-regulated GISG strategy.


We successfully demonstrate the use of pH-regulated GISG strategy as a controlled signal amplification technology for in vitro diagnostic assays by suppressing the gold self-nucleation to achieve the low and even “zero” background, sensitivity, and reproducibility. We further clarify the mechanism of pH to regulate the gold growth by affecting the electron density of the hydroxyl group to vary HA reducibility. Given its advantages of high sensitivity, “zero” background, robust operation, and good reproducibility, this system is configured into a sandwich AuNP-ICA format to achieve the ultrasensitive immunochromatographic diagnostics of viral infections. The LOD values of the designed GISG-amplified AuNP-ICA are as low as 0.0198 ng mL-1 for HBsAg and 0.0125 ng mL-1 for p24, which are lower by about 500- and 70-fold, respectively, than those of the unamplified AuNP-ICA. Moreover, these LOD values are comparable with those of routinely used laboratory diagnostic techniques, but the speed and portability are not compromised. The incorporation of pH-regulated GISG technology into paper-based lateral flow microfluidics can provide a sensitive and robust POC tool for the in vitro diagnostics of diseases and has the potential to redefine immunochromatographic diagnostics.

Supplementary Material

Supplementary methods, figures, and table.



This study was supported by the National Natural Science Foundation, China (32160599, 32001788, and 32172296), the Jiangxi Provincial Natural Science Foundation (20212ACB205011 and 20202ACB215004), the Scientific Research Foundation of Education Department of Jiangxi Province (GJJ200221), the National University of Singapore Start-up Grant (NUHSRO/2020/133/Startup/08), NUS School of Medicine Nanomedicine Translational Research Programme (NUHSRO/2021/034/TRP/09/Nanomedicine), and the National Medical Council Center Grant (NMRC CG21APR1005).

Competing Interests

The authors have declared that no competing interest exists.


1. Yang T, Duncan TV. Challenges and potential solutions for nanosensors intended for use with foods. Nat Nanotechnol. 2021;16:251-265

2. Bosch I, de Puig H, Hiley M, Carré-Camps M, Perdomo-Celis F, Narváez Carlos F. et al. Rapid antigen tests for dengue virus serotypes and Zika virus in patient serum. Sci Transl Med. 2017;9:eaan1589

3. Miller BS, Bezinge L, Gliddon HD, Huang D, Dold G, Gray ER. et al. Spin-enhanced nanodiamond biosensing for ultrasensitive diagnostics. Nature. 2020;587:588-593

4. Feng S, Caire R, Cortazar B, Turan M, Wong A, Ozcan A. Immunochromatographic diagnostic test analysis using google glass. ACS Nano. 2014;8:3069-3079

5. Wang J, Jiang C, Jin J, Huang L, Yu W, Su B. et al. Ratiometric fluorescent lateral flow immunoassay for point-of-care testing of acute myocardial infarction. Angew Chem Int Ed. 2021;60:13042-13049

6. Parolo C, Merkoçi A. Paper-based nanobiosensors for diagnostics. Chem Soc Rev. 2013;42:450-457

7. Yang M, Zhang W, Yang J, Hu B, Cao F, Zheng W. et al. Skiving stacked sheets of paper into test paper for rapid and multiplexed assay. Sci Adv. 2017;3:eaao4862

8. Tao D, McGill B, Hamerly T, Kobayashi T, Khare P, Dziedzic A. et al. A saliva-based rapid test to quantify the infectious subclinical malaria parasite reservoir. Sci Transl Med. 2019;11:eaan4479

9. Qin Z, Chan WCW, Boulware DR, Akkin T, Butler EK, Bischof JC. Significantly improved analytical sensitivity of lateral flow immunoassays by using thermal contrast. Angew Chem Int Ed. 2012;51:4358-4361

10. Zhan L, Guo S-z, Song F, Gong Y, Xu F, Boulware DR. et al. The role of nanoparticle design in determining analytical performance of lateral flow immunoassays. Nano Lett. 2017;17:7207-7212

11. Chen X, Leng Y, Hao L, Duan H, Yuan J, Zhang W. et al. Self-assembled colloidal gold superparticles to enhance the sensitivity of lateral flow immunoassays with sandwich format. Theranostics. 2020;10:3737-3748

12. Zhou Y, Chen Y, Liu Y, Fang H, Huang X, Leng Y. et al. Controlled copper in situ growth-amplified lateral flow sensors for sensitive, reliable, and field-deployable infectious disease diagnostics. Biosens Bioelectron. 2021;171:112753

13. GeurtsvanKessel CH, Okba NMA, Igloi Z, Bogers S, Embregts CWE, Laksono BM. et al. An evaluation of COVID-19 serological assays informs future diagnostics and exposure assessment. Nat. Commun. 2020;11:3436

14. Zhang H, Liu Y, Liu D, Zeng Q, Li L, Zhou Q. et al. Time of day influences immune response to an inactivated vaccine against SARS-CoV-2. Cell Res. 2021;31:1215-1217

15. Huang X, Song J, Yung BC, Huang X, Xiong Y, Chen X. Ratiometric optical nanoprobes enable accurate molecular detection and imaging. Chem Soc Rev. 2018;47:2873-2920

16. Zhang X, Lou X, Xia F. Advances in the detection of telomerase activity using isothermal amplification. Theranostics. 2017;7:1847-1862

17. Belushkin A, Yesilkoy F, Altug H. Nanoparticle-enhanced plasmonic biosensor for digital biomarker detection in a microarray. ACS Nano. 2018;12:4453-4461

18. van Gool AJ, Bietrix F, Caldenhoven E, Zatloukal K, Scherer A, Litton J-E. et al. Bridging the translational innovation gap through good biomarker practice. Nat Rev Drug Discovery. 2017;16:587-588

19. Hao L, Chen J, Chen X, Ma T, Cai X, Duan H. et al. A novel magneto-gold nanohybrid-enhanced lateral flow immunoassay for ultrasensitive and rapid detection of ochratoxin A in grape juice. Food Chem. 2021;336:127710

20. Hao L, Leng Y, Zeng L, Chen X, Chen J, Duan H. et al. Core-shell-heterostructured magnetic-plasmonic nanoassemblies with highly retained magnetic-plasmonic activities for ultrasensitive bioanalysis in complex matrix. Adv Sci. 2020;7:1902433

21. Soh JH, Chan H-M, Ying JY. Strategies for developing sensitive and specific nanoparticle-based lateral flow assays as point-of-care diagnostic device. Nano Today. 2020;30:100831

22. Gasperino D, Baughman T, Hsieh HV, Bell D, Weigl BH. Improving lateral flow assay performance using computational modeling. Annu Rev Anal Chem. 2018;11:219-244

23. Choi JR, Yong KW, Tang R, Gong Y, Wen T, Yang H. et al. Lateral flow assay based on paper-hydrogel hybrid material for sensitive point-of-care detection of dengue virus. Adv Healthcare Mater. 2017;6:1600920

24. Liu L, Yang D, Liu G. Signal amplification strategies for paper-based analytical devices. Biosens Bioelectron. 2019;136:60-75

25. Moghadam BY, Connelly KT, Posner JD. Two orders of magnitude improvement in detection limit of lateral flow assays using isotachophoresis. Anal Chem. 2015;87:1009-1017

26. Hu J, Wang L, Li F, Han YL, Lin M, Lu TJ. et al. Oligonucleotide-linked gold nanoparticle aggregates for enhanced sensitivity in lateral flow assays. Lab Chip. 2013;13:4352-4357

27. Choi DH, Lee SK, Oh YK, Bae BW, Lee SD, Kim S. et al. A dual gold nanoparticle conjugate-based lateral flow assay (LFA) method for the analysis of troponin I. Biosens Bioelectron. 2010;25:1999-2002

28. Huang X, Zhou Y, Ding L, Yu G, Leng Y, Lai W. et al. Supramolecular recognition-mediated layer-by-layer self-assembled gold nanoparticles for customized sensitivity in paper-based strip nanobiosensors. Small. 2019;15:1903861

29. Gao Z, Ye H, Tang D, Tao J, Habibi S, Minerick A. et al. Platinum-decorated gold nanoparticles with dual functionalities for ultrasensitive colorimetric in vitro diagnostics. Nano Lett. 2017;17:5572-5579

30. Loynachan CN, Thomas MR, Gray ER, Richards DA, Kim J, Miller BS. et al. Platinum nanocatalyst amplification: redefining the gold standard for lateral flow immunoassays with ultrabroad dynamic range. ACS Nano. 2018;12:279-288

31. Bu T, Huang Q, Yan L, Huang L, Zhang M, Yang Q. et al. Ultra technically-simple and sensitive detection for Salmonella Enteritidis by immunochromatographic assay based on gold growth. Food Control. 2018;84:536-543

32. Fu E, Liang T, Houghtaling J, Ramachandran S, Ramsey SA, Lutz B. et al. Enhanced sensitivity of lateral flow tests using a two-dimensional paper network format. Anal Chem. 2011;83:7941-7946

33. Sau TK, Rogach AL, Jäckel F, Klar TA, Feldmann J. Properties and applications of colloidal nonspherical noble metal nanoparticles. Adv Mater. 2010;22:1805-1825

34. Wang D, He S, Wang X, Yan Y, Liu J, Wu S. et al. Rapid lateral flow immunoassay for the fluorescence detection of SARS-CoV-2 RNA. Nat Biomed Eng. 2020;4:1150-1158

35. Fu J, Zhou Y, Huang X, Zhang W, Wu Y, Fang H. et al. Dramatically enhanced immunochromatographic assay using cascade signal amplification for ultrasensitive detection of Escherichia coli O157:H7 in milk. J Agric Food Chem. 2020;68:1118-1125

36. Broger T, Sossen B, du Toit E, Kerkhoff AD, Schutz C, Ivanova Reipold E. et al. Novel lipoarabinomannan point-of-care tuberculosis test for people with HIV: a diagnostic accuracy study. Lancet Infect. Dis. 2019;19:852-861

37. Zhou Y, Ding L, Wu Y, Huang X, Lai W, Xiong Y. Emerging strategies to develop sensitive AuNP-based ICTS nanosensors. TrAC, Trends Anal Chem. 2019;112:147-160

38. Li J, Zou M, Chen Y, Xue Q, Zhang F, Li B. et al. Gold immunochromatographic strips for enhanced detection of Avian influenza and Newcastle disease viruses. Anal Chim Acta. 2013;782:54-58

39. Rodríguez MO, Covián LB, García AC, Blanco-López MC. Silver and gold enhancement methods for lateral flow immunoassays. Talanta. 2016;148:272-278

40. Panferov VG, Safenkova IV, Varitsev YA, Drenova NV, Kornev KP, Zherdev AV. et al. Development of the sensitive lateral flow immunoassay with silver enhancement for the detection of Ralstonia solanacearum in potato tubers. Talanta. 2016;152:521-530

41. Tian M, Lei L, Xie W, Yang Q, Li CM, Liu Y. Copper deposition-induced efficient signal amplification for ultrasensitive lateral flow immunoassay. Sens Actuators, B. 2019;282:96-103

42. Ma Z, Sui S-F. Naked-eye sensitive detection of immunoglubulin G by enlargement of Au nanoparticles in vitro. Angew Chem Int Ed. 2002;41:2176-2179

43. Bui M-PN, Pham X-H, Han KN, Li CA, Lee EK, Chang HJ. et al. Electrochemical sensing of hydroxylamine by gold nanoparticles on single-walled carbon nanotube films. Electrochem Commun. 2010;12:250-253

44. Zhao Y, Gui L, Chen Z. Colorimetric detection of Hg2+ based on target-mediated growth of gold nanoparticles. Sens Actuators, B. 2017;241:262-267

45. Turkevich J, Stevenson PC, Hillier J. The formation of colloidal gold. J Phys Chem. 1953;57:670-673

46. Wang Z, Bharathi MS, Hariharaputran R, Xing H, Tang L, Li J. et al. pH-dependent evolution of five-star gold nanostructures: an experimental and computational study. ACS Nano. 2013;7:2258-2265

47. Zhao L, Ji X, Sun X, Li J, Yang W, Peng X. Formation and stability of gold nanoflowers by the seeding approach: the effect of intraparticle ripening. J Phys Chem. 2009;113:16645-16651

48. Ji X, Song X, Li J, Bai Y, Yang W, Peng X. Size control of gold nanocrystals in citrate reduction: the third role of citrate. J Am Chem Soc. 2007;129:13939-13948

49. Chunhachaichana C, Srichana T. Efficiency of sildenafil encapsulation in poloxamer micelles. J Dispersion Sci Technol. 2019;40:1461-1468

50. Karpenko A, Leppelt R, Plzak V, Behm RJ. The role of cationic Au3+ and nonionic Au0 species in the low-temperature water-gas shift reaction on Au/CeO2 catalysts. J Catal. 2007;252:231-42

51. Wan H, Liu Z, He Q, Wei D, Mahmud S, Liu H. Bioreduction (AuIII to Au0) and stabilization of gold nanocatalyst using Kappa carrageenan for degradation of azo dyes. Int J Biol Macromol. 2021;176:282-290

52. Zhang J-F, Xiong H-L, Cao J-L, Wang S-J, Guo X-R, Lin B-Y. et al. A cell-penetrating whole molecule antibody targeting intracellular HBx suppresses hepatitis B virus via TRIM21-dependent pathway. Theranostics. 2018;8:549-562

53. Zhou J, Lazar D, Li H, Xia X, Satheesan S, Charlins P. et al. Receptor-targeted aptamer-siRNA conjugate-directed transcriptional regulation of HIV-1. Theranostics. 2018;8:1575-1590

Author contact

Corresponding address Corresponding author: Dr. Xiaolin Huang and Dr. Yonghua Xiong E-mail: hxl19880503com (X. H.); yhxiongchencom (Y. X.)

Received 2021-12-15
Accepted 2022-2-27
Published 2022-3-14

Citation styles

Duan, H., Ma, T., Huang, X., Gao, B., Zheng, L., Chen, X., Xiong, Y., Chen, X. (2022). Avoiding the self-nucleation interference: a pH-regulated gold in situ growth strategy to enable ultrasensitive immunochromatographic diagnostics. Theranostics, 12(6), 2801-2810.

Duan, H.; Ma, T.; Huang, X.; Gao, B.; Zheng, L.; Chen, X.; Xiong, Y.; Chen, X. Avoiding the self-nucleation interference: a pH-regulated gold in situ growth strategy to enable ultrasensitive immunochromatographic diagnostics. Theranostics 2022, 12 (6), 2801-2810. DOI: 10.7150/thno.70092.

Duan H, Ma T, Huang X, Gao B, Zheng L, Chen X, Xiong Y, Chen X. Avoiding the self-nucleation interference: a pH-regulated gold in situ growth strategy to enable ultrasensitive immunochromatographic diagnostics. Theranostics 2022; 12(6):2801-2810. doi:10.7150/thno.70092.

Duan H, Ma T, Huang X, Gao B, Zheng L, Chen X, Xiong Y, Chen X. 2022. Avoiding the self-nucleation interference: a pH-regulated gold in situ growth strategy to enable ultrasensitive immunochromatographic diagnostics. Theranostics. 12(6):2801-2810.

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