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RESULTS

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Overview

Our team designed an ​​integrated four-in-one nanoflower system​​ for ultra-sensitive, rapid, and low-cost bacterial detection. This platform combines ​​specific recognition, catalytic signal generation, and dual signal amplification​​ within a single nanostructure, enabling highly efficient pathogen identification. Our experimental part can mainly be divided into two parts:
The first part is the preparation of Phage-derived Binding Proteins (PBP) through molecular biology.
The second part is the preparation and performance testing of the four-in-one nano flowers.

PBP preparation
We obtained the amino acid sequences of TFP, gp17 and BSCBS from GenBank, detailed information is shown in Table 1.
Table 1 Information of three PBP.
Name Source Genbank
TFP tail fiber protein [Escherichia phage T7] NP_042005.1
gp17 tail fiber protein [Enterobacteria phage T3] NP_523342.1
BSCBD Bacillus phage B103 NP_690649.1
After sending the genes to GenScript Company for synthesis, we obtained a strain containing the target gene. In order to obtain a large amount of target proteins, we cloned the target gene into the plasmid vector of pET28a, which is a prokaryotic expression vector featuring a T7 promoter (for IPTG-inducible strong expression) and a C-terminal His-tag (for affinity purification). Thus, we constructed three recombinant plasmids (Figure 1).

Figure 1
Figure 1 Structure diagram of plasmids of (A)pET28a-TFP, (B) pET28a-gp17 and (C) pET28a-BSCBD.

Plasmid Construction
The insert fragments (TFP, gp17 and BSCBD) were amplified by PCR from their respective plasmids using gene-specific primers. All samples were separated on a 1% agarose gel stained with YeaGreen nucleic acid dye. Electrophoresis was performed at 180 V for 15 minutes. The gel confirms the successful amplification of target genes. The PCR products for TFP, gp17 and BSCBD are single, sharp bands at the correct sizes, indicating high purity and specificity of amplification (Figure 2).

Figure 2
Figure 2 Agarose gel electrophoresis of TFP, gp17, BSCBD and plasmid vector.

Using Gibson Assembly, the purified target genes and linearized vector were ligated with 2× CloneExpress Mix in a stoichiometrically optimized system to facilitate homologous recombination. Subsequent colony PCR tests were conducted on the transformed organisms, as shown in Figure 3, which revealed the presence of expected amplification products (TFP: 1995 bp; gp17: 2010 bp; BSCBD: 1125 bp). Finally, Sanger sequencing demonstrated that the cloned fragments were 100% consistent with the target sequence, thereby confirming the accuracy of the plasmid assembly (Figure 3C).

Figure 3
Figure 3 Transformation of plasmids pET28a-TFP, pET28a-gp17 and pET28a-BSCBD.
(A)Transformation result; (B) Colony PCR verification; (C) Sequencing result.

Protein expression and purification
The sequence-verified recombinant plasmids pET28a-BSCBD was then transformed into chemically competent E. coli BL21(DE3) cells via heat shock method. After colony PCR verification, positive transformants were cultured for protein expression. The protein expression was induced with 0.1 mM IPTG at 25°C overnight. Cells were harvested by centrifugation, lysed by sonication, and the soluble and insoluble fractions were separated. His-tagged proteins were purified using Ni-NTA affinity chromatography. Samples were analyzed by 12% SDS-PAGE followed by Coomassie Blue staining. The results demonstrate successful expression of TFP (Theoretical molecular weight: 65.4 kDa), and gp17 (Theoretical molecular weight: 65.8 kDa). The presence of strong induced bands confirms IPTG-induced expression in the precipitation (Figure 4). The purified recombinant proteins (TFP/gp17) were then subjected to dialysis-assisted refolding to obtain soluble, functional proteins. However, the SDS-PAGE result showed that no target band of BSCBD was observed (Theoretical molecular weight: 33.1 kDa).

The failure of BSCBD expression in E. coli is likely attributable to lysin-induced host cell toxicity and insufficient control of premature expression during the pre-induction phase. Lysins, such as BSCBD, are designed to hydrolyze bacterial cell walls. When produced intracellularly in E. coli, even low levels of leakage expression can compromise cell wall integrity, leading to reduced viability, poor growth, and ultimately failed protein production [1].

Figure 4
Figure 4 SDS-PAGE Analysis of Recombinant Protein Expression and Purification.
M: Marker, S: Supernatant, P: Precipitate, FL: Flow liquid, W: Wash, E: Elution

Synthesis and performance test of four-in-one nanoflowers

Nanoflowers preparation
After successfully obtaining the TFP and gp17 proteins targeting E. coli, we will prepare four-in-one nano-flowers for subsequent bacterial detection. This four-in-one nano flower is mainly composed of the following components:
Phage-derived Binding Proteins (PBPs): Engineered TFP and gp17 proteins provide species-specific bacterial recognition.
Horseradish Peroxidase (HRP): Catalyzes 3,3',5,5'-Tetramethylbenzidine (TMB) oxidation for visible signal generation.
Gold-Platinum Nanozyme (AuPt): Enhances catalytic activity with peroxidase-like properties.
Calcium Phosphate Matrix (CaHPO4): Forms 3D nanoflowers structure providing high surface area.
The preparation of the four-in-one nanoflower mainly consists of three steps. The first step is to synthesize AuPt nanoparticles. The second step is to prepare a calcium-based nano-flower scaffold (i.e., a three-in-one nanoflower). The third step is to adsorb AuPt nanoparticles onto the nanoized scaffold through electrostatic adsorption, thereby obtaining a four-in-one nano-flower (Figure 5). For the detailed preparation method, please refer to the Experiment page.

Figure 5
Figure 5 The preparation process and detection principle of the four-in-one nano flower [2].

Nanoflowers Characterization
The synthesized ​​four-in-one nanoflowers​​ were subjected to detailed microstructural and compositional characterization using ​​transmission electron microscopy (TEM)​​. TEM analysis confirmed the successful formation and uniform dispersion of ​​gold-platinum (AuPt) nanozyme particles across the nanoflower scaffold. These metallic nanoparticles were consistently anchored across the calcium phosphate-based matrix via ​​electrostatic adsorption and surface complexation. This homogeneous distribution is critical for maximizing catalytic accessibility and enhancing signal amplification efficiency in subsequent biosensing applications.

Figure 6
Figure 6 Transmission Electron Microscopy Characterization of HRP-PBP-CaHPO₄@AuPt

Catalytic Performance Testing
After successfully obtaining the four-in-one nanoflowers, we measured and compared their catalytic performance. The experimental results indicated that, compared to individual AuPt nanoparticles and the three-in-one nanoflowers (HRP-PBP-CaHPO₄), the four-in-one nanoflowers (HRP-PBP-CaHPO₄@AuPt) exhibited the highest catalytic performance (Figure 7). This is attributed to the surface of the four-in-one nanoflowers being able to adsorb a large number of AuPt nanoparticles, endowing them with a dual signal amplification function. This also suggests that we can potentially use trace amounts of the four-in-one nanoflowers to achieve significant detection results.

Figure 7
Figure 7 Catalytic performance of AuPt NPs, Three-in-one NFs and Four-in-one NFs of (B) TFP and (C) gp17.

Optimization of reaction conditions
The catalytic activity of the synthesized TFP-nanoflowers and gp17-nanoflowers was then assessed under varying conditions to determine optimal performance. For time optimization, reactions were conducted at fixed temperature (25°C) with TMB/H₂O₂ substrate, and absorbance at 650 nm was measured at different time points (5, 10, 15, 20, 25, 30 min). For temperature optimization, reactions were carried out for a fixed duration (30min) at different temperatures (4°C, 25°C, 30°C, 37°C, 50°C). All measurements were performed in triplicate. The results demonstrate that both nanoflower constructs maintain optimal catalytic activity at physiological temperature (37°C) with reaction completion within 20-30 minutes (Figure 8). These optimized conditions will be applied in subsequent bacterial detection assays to ensure maximum sensitivity and reliability.

Figure 8
Figure 8 Optimization of reaction conditions of (A, B) HRP-TFP-CaHPO4@AuPt, and (C, D) HRP-gp17-CaHPO4@AuPt

Bacterial detection performance test
Subsequently, serial dilutions of E. coli (ranging from 10¹ to 104CFU/mL) were prepared and detected using four different detection systems for each protein construct (TFP and gp17). The detection results showed that the four-component nanoflower systems (HRP-PBP-CaHPO₄-AuPt NPs) demonstrate significantly enhanced detection sensitivity compared to three-component and control systems. The incorporation of AuPt nanoparticles provides synergistic catalytic amplification, greatly improving the detection limit and dynamic range. The performance trends of TFP and gp17 are similar, indicating that this nano-flower-like structure has extremely high sensitivity in bacterial detection (Figure 9). Compared with the four-component nano-flower of gp17, TFP has a higher detection signal value. We have verified this on the Model page. The results show that TFP has a higher affinity than gp17, enabling it to bind to more E. coli during the detection process, thereby achieving a better detection outcome.

Figure 9
Figure 9 Bacterial Test Results of (A) HRP-TFP-CaHPO4@AuPt, and (B) HRP-gp17-CaHPO4@AuPt

We performed linear regression analysis on bacterial concentration versus B/R ratio and found a good linear relationship for both quadruple-combination nanoflowers within the detection range of 10¹–10⁴ CFU/mL (R² values of 0.9434 and 0.9286, respectively), as shown in Figure 10. These standard curves can serve as a reference for us in the subsequent detection of unknown concentrations of bacteria.

Figure 10
Figure 10 The linear curve between B/R ratio and E. coli concentration of (A) HRP-TFP-CaHPO4@AuPt, and (B) HRP-gp17-CaHPO4@AuPt

Additionally, we calculated the LOD and RSD values, with results shown in the table below. The LOD values for both quadruple-combination nanoflowers ranged from 10.1 to 19.4 CFU/mL. Within the detection range of 10¹ to 10⁴ CFU/mL, the RSD values were 3.07–5.23% and 3.54–6.51%, respectively, indicating satisfactory reproducibility and repeatability (Table 2).

Table 2 The calculation results of LOD and RSD.
LOD (CFU/mL) RSD (%)
HRP-TFP-CaHPO₄@AuPt 19.4 3.07-5.23
HRP-gp17-CaHPO₄@AuPt 10.1 3.54-6.51
Specificity Test
To test the specificity of the four-in-one nano-flower, we introduced different types of strains (B. subtilis and E. coli). Test results indicated that both types of quadruple-combination nanoflowers produce only weak signal values (B/R < 1) for B. subtilis, while exhibiting high signal values (B/R = 3~4) for E. coli (Figure 11). Furthermore, in a mixed culture of B. subtilis and E. coli, the nanoflowers maintain high signal values, demonstrating that their detection performance remains unaffected in the presence of different bacterial species.

Figure 11
Figure 11 Detection specificity of (A) HRP-TFP-CaHPO4@AuPt and (B) HRP-gp17-CaHPO4@AuPt.
BS: B. subtilis; EC: E. coli; EC+BS: E. coli and B. subtilis mixture

Detection of real samples
In order to test whether the four-in-one nano flowers can perform detection in complex environments, we conducted tests on real samples. We employed HRP-TFP-CaHPO₄@AuPt to detect E. coli in real samples. The results demonstrated successful detection of bacteria in milk (milky white) and tea (light brown). Signal intensity increased proportionally with bacterial concentration, indicating that our detection method reliably avoids interference from sample coloration and exhibits both reliability and universality (Figure 12).

Figure 12
Figure 12 Real sample testing of HRP-TFP-CaHPO4@AuPt.(A) milk, (B) tea.

Storage stability test
Finally, we conducted an investigation into the storage stability of the four-in-one nano flowers in room temperature (25 ℃)). The findings indicated that the reduction in enzyme activity of the HRP-PBP-CaHPO4@AuPt nanoflowers was significantly less in comparison to that of free HRP and HRP-PBP-CaHPO4 nanoflowers (Figure 13). These results suggested that the prepared HRP-PBP-CaHPO4@AuPt nanoflowers exhibited great resistance to high temperature and storage ability at room temperature because of the exceptional stability of AuPt.

Figure 13
Figure 13 Storage stability in PBS at room temperature of HRP-PBP-CaHPO4@AuPt nanoflowers.

Discussion

In this project, we successfully obtained four-in-one nanoflowers and conducted a detailed study on its detection performance. Compared with the traditional colorimetric method, this method has the following advantages (Table 3):
Short detection time: The entire detection process (bacterial binding + display) takes no more than 30 minutes.
High detection sensitivity: Even at low concentrations (as low as 10 CFU/mL), it can detect the signal value.
High detection specificity: It can also identify the target bacteria in complex matrices, avoiding false positives caused by environmental factors.
User-friendly: This detection method can be combined with a mini program in the future. Just by taking a photo with a mobile phone, it can intelligently analyze the RGB values and output the bacterial concentration.

Table 3 Different type of colorimetric methods for E. coli detection.
Methods Device Structure LOD (CFU/mL) Time Linear range Ref
Phage-activated DNAzyme hydrogel sensor Naked-eye detection, Smartphone 10 CFU/mL Not mentioned 10¹–10⁷ CFU/mL [4]
Phage lysis of β-gal/pH-CuO₂ nanoenzyme cascade Smartphone, Microplate reader 15 CFU/mL >30 min 10¹–10⁷ CFU/mL [5]
Click-chemistry-mediated nanozyme colorimetric method Microplate reader 5 CFU/mL 20 min 5–10⁶ CFU/mL [6]
Loop-mediated isothermal amplification colorimetric dual DNAzyme reaction Naked-eye detection, Smartphone, LAMP 100 CFU/mL 1.5 h 10¹–10⁹ CFU/mL [7]
LAMP colorimetric method based on FTA card Naked-eye detection, LAMP, FTA Card 25 CFU/mL 35 min Not mentioned [8]
Four-in-one Dual-Signal Amplifying Nanoflowers Naked-eye detection, Smartphone 10-20 CFU/mL 30 min 10¹–104 CFU/mL Our project
LAMP: A colorimetric loop-mediated isothermal amplification

Future plan

1.Increase the soluble expression of TFP and gp17
Although we successfully obtained two peptide-binding proteins that can bind to Escherichia coli, namely TFP and gp17, both of these proteins are expressed in an insoluble aggregate form. Therefore, additional denaturation and refolding steps are required to restore them to a soluble and functionally active form. This process involves dissolving the aggregate proteins using a strong denaturant (8M urea), and then gradually removing the denaturant under controlled buffer conditions to facilitate their proper folding. To improve the solubility and yield of functional folded proteins in future cycles, we propose the following evidence-based strategies:
Introduce Fusion Tags to Prevent Aggregation
Fuse the target proteins with ​​solubility-enhancing partners​​ such as ​​MBP (Maltose-Binding Protein)​​ or ​​SUMO (Small Ubiquitin-like Modifier)​​. These tags serve as ​​chaperone-like carriers​​ that improve proper folding, enhance stability, and maintain solubility during expression. MBP is particularly effective due to its high solubility and ability to promote correct folding in fusion constructs, as demonstrated in numerous recombinant protein production systems [3].
Optimize Induction Conditions for Proper Folding
Lower induction temperature​​ and ​​reduce IPTG concentration​​ to slow down protein synthesis rates. This minimizes misfolding and aggregation by allowing the cellular chaperone machinery more time to assist in proper folding.
These strategies are widely adopted in recombinant protein production to shift the equilibrium from inclusion body formation toward soluble expression, thereby reducing dependency on costly and inefficient refolding procedures.

2.Improve the expression strategy of BSCBD
The failure of BSCBD expression in E. coli is likely attributable to ​​lysin-induced host cell toxicity​​ and ​​insufficient control of premature expression​​ during the pre-induction phase. Lysins, such as BSCBD, are designed to hydrolyze bacterial cell walls. When produced intracellularly in E. coli, even low levels of leakage expression can compromise cell wall integrity, leading to reduced viability, poor growth, and ultimately failed protein production. This aligns with the observation that phage lysins often accumulate and damage E. coli's own cell walls when expressed recombinantly, resulting in bacterial death and low yields [3].
To address this, we propose employing ​​specialized E. coli strains equipped with tighter transcriptional control mechanisms​​, such as ​​BL21(DE3) pLysS or BL21(DE3) pLysE​​. These strains carry the ​​pLys plasmid​​ encoding T7 lysozyme, which inhibits basal expression by suppressing T7 RNA polymerase activity prior to induction. This minimizes premature lysin production, thereby reducing host toxicity and improving cell survival until induction. Additionally, optimizing ​​induction conditions​​—such as lowering induction temperature, reducing inducer (IPTG) concentration, and delaying induction until high cell density is achieved—can further mitigate metabolic burden and enhance functional protein folding.

Reference

[1] Love, M. J., Abeysekera, G. S., Muscroft-Taylor, A. C., Billington, C., & Dobson, R. C. J. (2020). On the catalytic mechanism of bacteriophage endolysins: Opportunities for engineering. Biochimica et Biophysica Acta (BBA) - Proteins and Proteomics, 1868(1), 140302.
[2] Hong, B., Qin, T., Wang, W., Luo, L., Li, Y., Ma, Y., & Wang, J. (2025). Rapid and ultrasensitive detection of Salmonella typhimurium based on dual signal amplification of four-in-one AuPt nanozyme coated enzyme-antibiotic-inorganic nanoflowers. Sensors and Actuators B: Chemical, 426, 137097.
[3] Raran-Kurussi S, Waugh DS. The ability to enhance the solubility of its fusion partners is an intrinsic property of maltose-binding protein but their folding is either spontaneous or chaperone-mediated. PLoS One. 2012;7(11): e49589.
[4] H. Mann, S. Khan, A. Prasad, F. Bayat, J. Gu, K. Jackson, Y. Li, Z. Hosseinidoust, T. F. Didar, C. D. M. Filipe, Bacteriophage-Activated DNAzyme Hydrogels Combined with Machine Learning Enable Point-of-Use Colorimetric Detection of Escherichia coli. Adv. Mater. 2024, 37, 2411173.
[5] Zeng, Q., Deng, T., Yang, Y., Wu, W., Jiang, Z., Wu, H., Deng, C. (2025). pH-Adaptable CuO2 photo-responsive oxidase with phage-lysed β-galactosidase based cascade reaction for colorimetric detection of Escherichia coli in drinking water with high specificity and sensitivity. Journal of Hazardous Materials, 492, 138295.
[6] Alzahrani A. A novel strategy for Escherichia coli detection in raw beef in combination with click chemistry. NPJ Sci Food. 2025 Apr 24;9(1):59.
[7] Sewid AH, Ramos JH, Dylewski HC, Castro GI, D'Souza DH, et al. (2025) Colorimetric dual DNAzyme reaction triggered by loop-mediated isothermal amplification for the visual detection of Shiga toxin-producing Escherichia coli in food matrices. PLOS ONE 20(4): e0320393.
[8] Fumin Chen, Junyu Wang and Weiguang Li et al. Visual and Rapid Detection of Escherichia coli O157:H7 in Stool Samples by FTA Card-based Loop-mediated Isothermal Amplification. Zoonoses. 2023. Vol. 3(1).

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