Download

RESEARCH ARTICLE

Rapid and highly sensitive detection of Salmonella using specific aptamers and nucleic acid enrichment technology

Shenglong Ma1,2, Rui Zhang1, Fang Han1, Yingying Nie1, Yunxia Li1, Liping Ma1*

1Institute of Sensing Technology, Gansu Academy of Sciences, Lanzhou, China;

2School of Environmental and Municipal Engineering, Lanzhou Jiaotong University, Lanzhou, China

Abstract

Salmonella is a significant pathogen that is responsible for foodborne diseases, and the rapid detection of this pathogen is crucial for ensuring food safety. Traditional detection methods are often time-consuming due to the requirement of bacterial enrichment. To address these challenges, this study developed a novel Salmonella enrichment technique utilizing carboxylated magnetic beads and ultrafiltration membranes, and designed and synthesized a specific nucleic acid aptamer targeting the invA gene of Salmonella. By integrating nucleic acid enrichment technology with a specific aptamer, we achieved quantitative detection of low-concentration Salmonella using fluorescence spectrometry without the need for conventional enrichment steps. This method demonstrated a detection limit as low as 1 colony-forming units (CFU)/mL, a linear range from 100 CFU/mL to 103 CFU/mL, and a correlation coefficient of R2 = 0.9864. Compared with conventional methods, this approach exhibited 2.4-fold greater sensitivity accompanied by significant signal amplification. In terms of stability, when the concentration of unknown Salmonella was measured via plate counting methods, a value of 5.76 × 102 CFU/mL was obtained, comparing well with our method, which yielded a concentration of 5.49 × 102 CFU/mL, indicating good performance. Additionally, this method exhibited high specificity, which allowed for the accurate detection of Salmonella even in the presence of multiple interfering bacteria, including Staphylococcus aureus, Escherichia coli, Listeria monocytogenes, and Shigella spp. This novel technique overcomes the limitations of traditional enrichment-based methods, thereby offering an efficient and rapid approach for Salmonella detection in food, with broad potential for practical applications.

Key words: Salmonella, aptamer, Salmonella detection, InvA gene, food safety

*Corresponding Author: Liping Ma, Institute of Sensing Technology, Gansu Academy of Sciences, Lanzhou, China. Email: [email protected]

Academic Editor: Aziz A. Fallah, PhD, Department of Food Hygiene and Quality Control, Faculty of Veterinary Medicine, Shahrekord University, Shahrekord, Iran

Received: 7 March 2025; Accepted: 19 July 2025; Published: 1 October 2025

DOI: 10.15586/qas.v17i4.1577

© 2025 Codon Publications
This is an Open Access article distributed under the terms of the Creative Commons Attribution-NonCommercial-ShareAlike 4.0 International (CC BY-NC-SA 4.0). License (http://creativecommons.org/licenses/by-nc-sa/4.0/)

Introduction

Salmonella is a leading global cause of bacterial foodborne illnesses and ranks among the four pathogens responsible for diarrhea diseases (Besser, 2018; Billah & Rahman, 2024). It can also cause severe conditions, including enteric fever, septicemia, and gastroenteritis characterized by symptoms like diarrhea, abdominal cramps, and fever (Zha et al., 2019). Salmonella causes approximately 95 million infections worldwide, resulting in approximately 150,000 deaths (Cuypers et al., 2023). Moreover, it primarily resides in the intestines and feces of animals and is transmitted to humans through contaminated food (Bai et al., 2023;

Gonçalves-Tenório et al., 2018; Pui et al., 2011). The public health risks associated with Salmonella necessitate the urgent development of rapid and reliable detection methods for food safety monitoring.

Currently, bacterial culture is considered the gold standard for detecting Salmonella. This method requires preenrichment, culture, and isolation, followed by biochemical and serological confirmation. These techniques are time-consuming and labor-intensive, which hinders detection speed and potentially causes significant delays in Salmonella detection (Ranjbar et al., 2022; Wang et al., 2021). Polymerase chain reaction (PCR) is an alternative conventional technique for detecting Salmonella (He et al., 2023; Zhang et al., 2022); although a recommended method, the reliability can be compromised by the typically low concentrations of Salmonella in contaminated food, thus leading to false-negative results (Su et al., 2021; Wei et al., 2022). In contrast, enzyme-linked immunosorbent assays (ELISAs) have been used for Salmonella detection and exhibit a low incidence of false-positive results; however, preenrichment is still required to detect low concentrations of Salmonella (Bai et al., 2023). Raman spectroscopy (RS) and immunomagnetic separation (IMS) have been increasingly utilized for the detection of pathogenic microorganisms via spectroscopic analyses. IMS can increase detection sensitivity and reduce the duration of the enrichment cycle (Qiu et al., 2023). However, these techniques are susceptible to interference from electrochemical reactions occurring on the electrode surface, complex experimental conditions, and concerns regarding electrode stability (Buehler et al., 2019; Bülte & Jakob, 1995; Tas et al., 2025). These detection methods are time-consuming and require preenrichment steps, which limits their implementation in rapid detection technologies and onsite applications (Lin et al., 2020; Liu et al., 2022; Qiao et al., 2023). Therefore, there is an urgent need to investigate and develop innovative new technologies that rapidly detect Salmonella without relying on preenrichment processes.

Hence, this study employs specific aptamers and nucleic acid enrichment techniques to develop a method for detecting low levels of Salmonella. A nucleic acid enrichment device was created using carboxylated magnetic beads and ultrafiltration membranes to concentrate Salmonella, thereby bypassing traditional preenrichment steps. Specific aptamers targeting the invA gene, including a 5’-aminated capture aptamer linked to magnetic beads and a 3’-TAMRA (carboxytetramethylrhodamine)-labeled detection aptamer, were synthesized. The resulting magnetic aptamer-targeted nucleic acid detection aptamer complex enables the rapid, sensitive, and precise quantification of low concentrations of Salmonella. This method combines specific aptamers with nucleic acid enrichment technology to amplify the signal and enhance detection sensitivity, while circumventing traditional enrichment processes, thus shortening the detection time. This approach provides an innovative solution for onsite food safety testing, addressing urgent public health needs.

Materials and Methods

Chemicals and materials

Reagents and materials

HindIII and EcoRI (haemophilus influenzae d strain third enzyme isolated and Escherichia coli R strain first enzyme isolated) restriction enzymes were purchased from Bioneer Corporation (Shanghai, China). A 0.22 µm pore size membrane filter, proteinase K, and bovine serum albumin (BSA) were obtained from Takara Biotech Co. Ltd. (Dalian, China). Tris-EDTA (tromethamine-ethylenediaminetetraacetic acid) were purchased from Sangon Biotech Co., Ltd. (Shanghai, China). Sodium chloride (NaCl) was obtained from Tianjin Damao Chemical Reagent Co., Ltd. (Tianjin, China). Tris, NaCl, ethanol, and isopropanol were of analytical grade. The capture probe aptamer, detection probe aptamer, and validation probe aptamer were diluted to a concentration of 100 mM in ultrapure water. Beef extract peptone medium (BPM) was prepared in-house.

Lysis buffer

The lysis buffer consisted of 1.5% (w/v [weight/volume]) sodium dodecyl sulfate (SDS), 50 mM Tris-HCl (pH 8.0), 100 mM EDTA, and 200 mM NaCl. SDS was purchased from Shanghai Solarbio Bioscience & Technology Co., Ltd. (Shanghai, China). Tris-HCl was purchased from NOVON Scientific Co., Ltd. (Beijing, China).

Main instruments and equipment

Scanning electron microscopy (SEM) images were acquired with a JEM-2100 scanning electron microscope from EOL Japan Electronics Co., Ltd. (Tokyo, Japan). UV-Vis (ultraviolet-visible) spectra were obtained via a UV-1800 spectrophotometer supplied by Shimadzu Corporation (Kyoto, Japan). Laser scanning confocal microscopy employed an Olympus BX53 system. The fluorescence spectrometer FS5 used for fluorescence spectrum analysis was provided by Edinburgh Instruments (Edinburgh, UK).

Pathogens

Salmonella enterica subspecies enterica serovar Typhimurium (strain no. 21482), Staphylococcus aureus (strain no. 10001), Escherichia coli O157:H7 (strain no. 21530), Listeria monocytogenes (strain no. 21639), and Shigella spp. (strain no. 10865) were obtained from the China Center for Industrial Culture Collection (CICC).

Experimental methods

Design and synthesis of nucleic acid aptamers

The sequence of the invA gene of Salmonella was retrieved from the National Center for Biotechnology Information (NCBI) database. On sequence alignment, a capture probe modified with NH2 at the 5’ end and a detection probe modified with TAMRA-N at the 3’ end were designed. The sequence of the capture probe aptamer was 5’-NH2-TTTTTTTGGTTGTTACGGCTATTC-3’, the sequence of the detection probe aptamer was 5’-ATGCTGTTATCGCTCACGTTTTTTT-TAMRA-N-3’, and the sequence of the validation probe aptamer was 5’-NH2-TTTTTTTGGTTGTTACGGCTATTC-Cy5-3’. The nucleic acid aptamers were synthesized by Sangon Biotech Co., Ltd. for this study.

Nucleic acid enrichment

Pathogenic bacteria in the detection samples were enriched using a specially designed enrichment device. The cells were subsequently lysed to release deoxyribonucleic acid (DNA), which was subsequently fragmented into nucleic acid fragments that included the invA gene. This process amplified the signal, enabling the detection of low-concentration pathogens. The principle of the detection method is illustrated in Figure 1.

Figure 1. Principle of nucleic acid enrichment technology.

Material preparation

Fe3O4 nanoclusters were synthesized via the solvothermal method and Fe3O4@SiO2 magnetic nanoparticles (MNPs) were prepared via the sol-gel method. Carboxylated magnetic beads (Fe3O4@SiO2@COOH, 10 mg/mL) were obtained via chemical carboxylation of the Fe3O4@SiO2 surfaces (Fuentes-García et al., 2018; Khalid et al., 2023; Wei et al., 2012). Both materials were characterized using transmission electron microscopy (TEM).

To prepare the magnetic capture probes, carboxylated magnetic beads were washed and resuspended in deionized water (10 mg/mL), after which capture and validation probe aptamers (50 μL each) were added to 50 μL of magnetic beads and incubated at room temperature for 60 minutes. To block nonspecific binding, 10 μL of 1% BSA was added, and the mixture was allowed to react for 5 minutes. After magnetic separation and removal of the supernatant, three washing cycles were performed to eliminate unbound probes. Probe conjugation was confirmed via fluorescence microscopy.

Correlation between Salmonella absorbance and bacterial count

Salmonella cultures (12-hour incubation) were centrifuged in 1 mL aliquots at 4000 rpm for 10 minutes. The supernatant was discarded and the pellet was resuspended in 1 mL of 0.9% sterile saline. Serial dilutions were prepared by transferring 500 μL, 400 μL, 300 μL, 200 μL, and 100 μL aliquots of the suspension, with each aliquot diluted to a total volume of 1 mL with sterile saline.

Absorbance measurements at 600 nm were obtained in triplicate using a spectrophotometer and parallel plating of 40 μL aliquots from each dilution was conducted (n = 3) to determine its actual concentration. A standard curve correlating the absorbance at optical densities (OD600) with the actual concentrations of Salmonella (CFU) was established using the obtained OD600 values as the dependent variable and the corresponding actual concentrations of the dilutions as the independent variable.

Quantitative detection of Salmonella

To quantify Salmonella, bacterial suspensions were prepared on national standard limits (ISO 6579-1:2017 and GB 29921-2021) and the actual sample concentrations. The bacterial suspension was adjusted to 103 CFU/mL using an established bacterial absorbance count standard curve. Aliquots (750 μL, 500 μL, 250 μL, 100 μL, 10 μL, and 1 μL) were collected from this suspension and diluted to a final volume of 1 mL using sterile 0.9% saline, resulting in six distinct concentrations.

Excess impurities were removed from samples of varying concentrations using an enrichment device. Subsequently, 500 μL of lysis buffer and 10 μL of proteinase K were added, mixed thoroughly, and incubated at 65°C for 20 minutes. Subsequently, 10 μL each of HindIII and EcoRI were added to each mixture and allowed to react at room temperature for 3 minutes. Magnetic separation was performed, and the supernatant was discarded. Finally, the beads were washed twice with 500 μL of 75% ethanol, followed by magnetic separation and removal of the supernatant.

Afterward, the enrichment device was supplemented with 30 μL of the magnetic capture probe and 30 μL of the detection probe. After mixing and incubation for 30 minutes, unbound detection probes were removed via magnetic separation. The remaining beads were resuspended in 100 μL of deionized water. Fluorescence intensities were subsequently measured at 580 nm via a fluorescence spectrophotometer. A standard curve was established using the concentrations of bacterial suspensions and fluorescence intensity at 580 nm to evaluate the linear relationship and determine the limit of detection.

Feasibility study of enrichment technology

An unknown concentration of the Salmonella suspension was prepared by plating and counting, according to the established bacterial count standard curve. This suspension was then added to 100 mL of commercially purchased milk, followed by a 10-fold dilution. Nucleic acid fragments were subsequently extracted using both nucleic acid enrichment technology and conventional extraction methods. Fluorescence intensity measurements were conducted to evaluate the signal amplification effect of nucleic acid enrichment.

The conventional method involved a 10-fold dilution of 10 mL of bacterial culture, centrifugation at 12,000 rpm for 5 minutes, and discarding removal of the supernatant. Lysis buffer and 10 μL of proteinase K were added, mixed, and incubated in a 65°C water bath for 20 minutes. The mixture was then centrifuged at 12,000 rpm for 10 minutes, and the supernatant was transferred to a new centrifuge tube. Afterward, 30 μL of a magnetic capture probe and 30 μL of a detection probe were added to the tube, mixed, and allowed to stand for 30 minutes. Unbound detection probes were magnetically separated and discarded, and the remaining beads were resuspended in 100 μL of deionized water (Chavan et al., 2022).

To further validate the method, 10 mL of bacterial culture was diluted 10-fold, and the concentration of Salmonella was determined using the method described in section 2.2.5. Concurrently, 40 μL of the bacterial culture was plated and counted (n = 3) to obtain the actual concentration of Salmonella. This value was compared with the detection results from this study to assess the feasibility of using nucleic acid enrichment technology and specific aptamer detection for Salmonella.

Anti-interference capability

To evaluate the anti-interference ability of the detection system, the target pathogen Salmonella was sequentially replaced with other potential pathogens likely to exist in actual samples. These pathogens included Staphylococcus aureus, Escherichia coli O157:H7, Listeria monocytogenes, and Shigella spp., which were cultured in LB liquid media at 37°C for 24 hours, resulting in OD600 between 0.6 and 0.8.

Results

Preparation of carboxylated magnetic beads and capture probes

In this study, carboxylated magnetic beads and microporous membranes were utilized to construct a nucleic acid enrichment device for rapid and convenient enrichment of Salmonella DNA. The principle of nucleic acid enrichment is illustrated in Figure 1.

The small size and large specific surface area of the carboxylated magnetic beads facilitate efficient enrichment of low-concentration nucleic acids. TEM images of the prepared carboxylated magnetic beads are shown in Figure 2; Figure 2A depicts Fe3O4@SiO2 and Figure 2B depicts Fe3O4@SiO2@COOH. The prepared beads exhibited a uniform size distribution and good dispersion. Furthermore, observation of a smooth surface with a visible halo (as shown in Figure 2B) indicated the presence of carboxyl groups on the magnetic bead surface.

Figure 2. Magnetic nanoparticle TEM.

Fluorescence microscopy images of the magnetic capture probes are shown in Figure 3; Figure 3A depicts the magnetic capture probe, whereas Figure 3B displays the magnetic detection probe. The distinct fluorescent spots observed in Figure 3B confirm successful conjugation, which corresponds to the detection probe labeled with Cy5 at the 3’ end. These results further indicate that the capture probes were effectively bound to the carboxylated magnetic beads (Figure 3A), confirming successful preparation.

Figure 3. Magnetic probe validation.

MNPs have gained significant attention for their excellent biocompatibility and magnetic properties, making them widely applicable in molecular biology and medical fields (Chavan et al., 2022; Materón et al., 2021). Previous studies have shown that MNPs effectively enrich target nucleic acids (He et al., 2019; Zhao et al., 2024). Fluorescent materials, known for their high fluorescence intensity, good stability, and biocompatibility, are commonly employed in bacterial detection and medical diagnostics (Pgi & Rathnayaka, 2018; Zhang et al., 2023). Therefore, the use of Cy5-labeled aptamers in conjunction with magnetic materials enable rapid and highly sensitive detection of Salmonella. Additionally, fluorescently labeled aptamers can be used to validate effective conjugation with carboxylated magnetic beads.

Correlation between Salmonella absorbance and bacterial count

To establish the correlation between Salmonella absorbance and bacterial count, the OD600 values of various concentrations of Salmonella were measured and plotted as a standard curve (Figure 4). The resulting linear equation was y = 0.71953x-0.1393, with a correlation coefficient of R2 = 0.99325, indicating a strong linear relationship between Salmonella concentration and absorbance. A plate count image of Salmonella is shown in Figure 5.

Figure 4. Salmonella absorbance and bacterial count standard curve.

Figure 5. Salmonella colonies on agar plates. (A–C) correspond to plate count images with concentrations ranging from high to low; (D) represents the negative control.

Optical density measurements at a wavelength of 600 nm (OD600) is the most common method for estimating the number of cells in liquid suspensions (Montesinos-Cruz & Somerville, 2024; Myers et al., 2013). Establishing a linear relationship between the OD and Salmonella concentration within a limited range enables the determination of Salmonella concentration during the study (Stevenson et al., 2016).

Quantitative detection of Salmonella

On the basis of the nucleic acid enrichment method and the established standard curve correlating Salmonella absorbance with bacterial count, a Salmonella suspension with an initial concentration of 103 CFU/mL was serially diluted within the range of 100–103 CFU/mL. Under optimized experimental conditions, the fluorescence intensities of different concentrations of Salmonella were measured (Figure 6). The linear range of the method was evaluated, and from 100 to 103 CFU/mL, the fluorescence ratio demonstrated a linear correlation with concentration (y = 0.5911 + 0.0022x, R2 = 0.9864). The detection limit was determined to be 1 CFU/mL.

Figure 6. Fluorescence spectra of different concentrations of Salmonella.

Fluorescence spectroscopy exhibits exceptional sensitivity, specificity, and accuracy, and has been widely applied in bacterial detection because of the linear relationship between fluorescence spectrum and bacterial concentration (Nakar et al., 2020). For example, Simões and Dong (2018) developed an optofluidic sensor for detecting pathogens in drinking water that achieved an accuracy of up to 106 CFU/mL. Du et al. (2022) utilized laser-induced fluorescence (LIF) technology to investigate the fluorescence emission spectra of Escherichia coli, Klebsiella pneumoniae, and Staphylococcus aureus, with detection limits below ~102 cells/mL. These findings demonstrate that fluorescence emission spectroscopy is a sensitive, rapid, and stable method for bacterial detection.

Feasibility study

The feasibility of the proposed method was evaluated by comparing it with conventional extraction methods for detecting Salmonella. Figure 7 shows the fluorescence intensity spectra obtained from this study. Curve 1 represents the fluorescence spectrum of Salmonella detected using the nucleic acid enrichment method and Curve 2 corresponds to the fluorescence spectrum obtained using the conventional nucleic acid extraction method. Fluorescence intensities obtained with the nucleic acid enrichment method were significantly greater than those obtained with the conventional method, demonstrating a 2.4-fold increase in sensitivity. These findings confirm that the nucleic acid enrichment method effectively amplified the detection signal for Salmonella. To ensure consistent concentrations of the detection samples, quantification was performed via the plate counting method, as shown in Figure 1A. This method yielded a Salmonella concentration of 5.76 × 102 CFU/mL, while the concentration determined using the method proposed in this study was 5.49 × 102 CFU/mL.

Figure 7. Feasibility study of the nucleic acid enrichment method. Curve 1 represents the fluorescence intensities obtained using the nucleic acid enrichment method and Curve 2 represents the fluorescence intensities achieved using the conventional extraction method.

Anti-interference capability

The anti-interference ability of the nucleic acid enrichment method was evaluated, and the results are presented in Figures 8 and 2A. The fluorescence response values of the detection system in the presence of interfering pathogens were significantly lower than those observed for Salmonella. These findings indicate that the nucleic acid enrichment method has high specificity and selectivity for Salmonella, even in the presence of other pathogens (such as Staphylococcus aureus, Escherichia coli O157:H7, Listeria monocytogenes, and Shigella spp).

Figure 8. Specificity of Salmonella detection methods.

Research has demonstrated that aromatic amino acids can serve as indicators for detecting bacterial distribution, concentration, and species (Pan, 2015). Tryptophan-like fluorescence (TLF) has also been widely and effectively utilized to monitor bacterial contamination in water (Baker et al., 2015). Furthermore, some studies have proposed that coenzymes are the primary sources of most endogenous fluorescence in cells (Aubin, 1979). These natural fluorescent substances exhibit robust characteristic fluorescence intensities at various laser wavelengths. In this study, an innovative approach was employed that utilized nucleic acid enrichment techniques to release invA gene fragments for the detection of Salmonella, effectively circumventing these substances and minimizing interference signals. This strategy is advantageous for lowering detection limits and enhancing resistance to interference.

Discussion

The development of nucleic acid detection technologies, particularly aptamer-based methods for detecting pathogens such as Salmonella, enhances onsite rapid testing strategies for foodborne pathogens. The development of rapid, sensitive, and specific detection methods for Salmonella is critical to ensure food safety and prevent outbreaks of foodborne illnesses. Our method exhibited a 2.4-fold increase in sensitivity compared with conventional nucleic acid extraction techniques (Figure 7), primarily due to the effective enrichment of low-concentration nucleic acids using carboxylated magnetic beads. This result aligns with recent studies demonstrating the use of MNPs to enhance detection sensitivity. Previous studies have demonstrated that due to their magnetic properties and bioaffinity, MNPs can adsorb nucleic acids (Liu et al., 2023). Furthermore, MNPs can be surface-functionalized to specifically capture target nucleic acid molecules and achieve rapid separation via an external magnetic field (Khamlamoon et al., 2023; Li et al., 2021; Yue et al., 2020). For example, MNPs functionalized with carboxyl groups can increase the efficiency of nucleic acid capture via electrostatic interactions and large surface-to-volume ratios (Gautam, 2022; Li et al., 2025). Additionally, the dual-probe design (utilizing both capture and detection aptamers targeting the invA gene) ensured high specificity, as evidenced by minimal cross-reactivity with Staphylococcus aureus, Escherichia coli, and other pathogens (Figure 8). Therefore, this study demonstrates that the enrichment of target nucleic acids using MNPs and the dual recognition strategy of connecting nucleic acid aptamers to their surfaces can improve the efficiency of target capture.

Traditional methods, such as plate counting and PCR-based detection, are time-consuming and require specialized equipment. This is particularly important, given the technical limitations in detecting low concentrations of pathogens in actual samples. For example, a recombinase-aided amplification (RAA) method combined with DNA-specific nucleases has a detection limit of 10 CFU/mL; however, this method requires isothermal amplification equipment (Zhou et al., 2024). Moreover, Xie et al. (2022) have validated the use of digital microfluidic chip detection technology for foodborne pathogens using spiked milk and simultaneously detected all four pathogenic bacteria at concentrations as low as 103 CFU/mL within 50 minutes. Our approach relies on fluorescence spectroscopy detection, which provides a solution that is more suitable for field deployment. Moreover, its linear detection range of 100–103 CFU/mL (Figure 6) encompasses both regulatory thresholds (including ISO 6579-1:2017 and GB 29921-2021) and trace contamination levels, making it suitable for routine monitoring and outbreak investigations.

Zhao et al. (2023) combined concanavalin A with aptamers for target recognition of Salmonella Typhimurium, thereby achieving a detection limit of 23 CFU/mL in complex food matrices (Zhao et al., 2023). Although their method utilized visual detection, our fluorescence-based approach demonstrated higher sensitivity (1 CFU/mL), highlighting the advantages of the nucleic acid enrichment method employed in this study with regard to signal amplification. Moreover, although a newly developed colorimetric biosensor can rapidly detect Salmonella at concentrations as low as 168 CFU/mL within 25 minutes via color changes (Jin et al., 2023), this method requires improvement with regard to detection sensitivity. In addition, though Shin et al. (2018) developed an aptamer-based sandwich assay to detect Salmonella enterica ser. Typhimurium with a detection range of 2 × 101 to 2 × 105 CFU/mL, our method eliminates the preenrichment step, allowing for rapid completion of tests that meet the time control principles required in food safety. Furthermore, our method’s robust anti-interference ability in milk samples (Section 3.5) highlights its applicability to complex food matrices.

In summary, our nucleic acid enrichment-based method significantly reduces the detection time and improves the sensitivity of Salmonella detection. Nonetheless, challenges remain regarding the use of this method in the field. Our approach leverages MNPs and dual aptamer probes to address critical limitations of traditional techniques. Moreover, it aligns with the growing demand for rapid, onsite pathogen detection in the food industry. Future refinements that focus on portability and multiplexing will further solidify the role of this method in global food safety surveillance.

Conclusions

This study developed a novel Salmonella detection method that employs a nucleic acid enrichment technique utilizing carboxylated magnetic beads and ultrafiltration membranes, combined with Salmonella-specific capture probes. This method circumvents traditional enrichment processes to capture Salmonella, enabling the rapid detection of low concentrations of this pathogen. Moreover, our method amplifies the signals detected, resulting in a 2.4-fold increase in sensitivity compared with conventional approaches. We also achieved a linear detection range of 10¹–103 CFU/mL (R2 = 0.9864) and a detection limit of 1 CFU/mL, thereby meeting practical requirements. Hence, this new detection technology provides a viable alternative to traditional pathogen testing, in that timely and reliable detection is crucial to ensuring food safety (Paniel & Noguer, 2019). Despite our advancements, challenges remain in achieving a balance between accuracy and efficiency in foodborne pathogen detection. Semiquantitative methods often fail to deliver the sensitivity required for low-concentration targets, whereas quantitative methods can be hindered by time-consuming preenrichment steps. For example, lateral flow immunoassays that employ gold nanoparticles provide rapid visual estimates but lack quantitative precision (Gong et al., 2023). Our proposed method addresses these limitations by eliminating traditional enrichment steps, thereby streamlining the detection workflow and enabling more rapid responses to potential contamination events.

Future research will focus on constructing nucleic acid aptamer-based biosensors utilizing the proposed detection method. Utilizing the ability of biosensors to convert biological recognition signals into electrical signals, we aim to develop a simple and rapid onsite detection platform by leveraging the stability and cost-effectiveness of aptamers in conjunction with nucleic acid enrichment techniques to eliminate the enrichment step (Ansari et al., 2017; Duan et al., 2012). Research has shown that, because of their simplicity, methods employing nanotechnology and biosensors for DNA detection are excellent alternatives to historical methods for pathogen detection in food (Duan et al., 2020; Lee & Hwang, 2020). Our rapid detection platform is designed to facilitate onsite testing across a broader range of sample types and conditions.

Author Contributions

All authors contributed equally to this article.

Conflicts of Interest

The authors declare that they have no conflicts of interest.

Funding

This research was funded by the Science and Technology Program of Gansu Province, grant No. 22JR5RA774, 22JR11RA211, 23JRRA1345 and 25YFFA096.

REFERENCES

Ansari, N., Yazdian-Robati, R., Shahdordizadeh, M., et al., 2017. Aptasensors for quantitative detection of Salmonella Typhimurium. Analytical Biochemistry 533: 18–25. 10.1016/j.ab.2017.06.008

Aubin, J.E., 1979. Autofluorescence of viable cultured mammalian cells. Journal of Histochemistry and Cytochemistry 27(1): 36–43. 10.1177/27.1.220325

Bai, M., Wang, Y., Zhang, C., et al., 2023. Nanobody-based immunomagnetic separation platform for rapid isolation and detection of Salmonella enteritidis in food samples. Food Chemistry 424: 136416. 10.1016/j.foodchem.2023.136416

Baker, A., Cumberland, S.A., Bradley, C., et al., 2015. To what extent can portable fluorescence spectroscopy be used in the real-time assessment of microbial water quality? Science of The Total Environment 532: 14–19. 10.1016/j.scitotenv.2015.05.114

Besser, J.M., 2018. Salmonella epidemiology: A whirlwind of change. Food Microbiology 71: 55–59. 10.1016/j.fm.2017.08.018

Billah, M.M., Rahman, M.S., 2024) Salmonella in the environment: A review on ecology, antimicrobial resistance, seafood contaminations, and human health implications. Journal of Hazardous Materials Advances 13: 100407. 10.1016/j.hazadv.2024.100407

Buehler, A.J., Wiedmann, M., Kassaify, Z., et al., 2019. Evaluation of invA diversity among Salmonella species suggests why some commercially available rapid detection kits may fail to detect multiple Salmonella subspecies and species. Journal of Food Protection 82(4): 710–717. 10.4315/0362-028X.JFP-18-525

Bülte, M., Jakob, P., 1995. The use of a PCR-generated invA probe for the detection of Salmonella spp. in artificially and naturally contaminated foods. International Journal of Food Microbiology 26(3): 335–344. 10.1016/0168-1605(94)00139-W

Chavan, N., Dharmaraj, D., Sarap, S., et al., 2022. Magnetic nanoparticles–A new era in nanotechnology. Journal of Drug Delivery Science and Technology 77: 103899. 10.1016/j.jddst.2022.103899

Cuypers, W.L., Meysman, P., Weill, F.-X., et al., 2023. A global genomic analysis of Salmonella Concord reveals lineages with high antimicrobial resistance in Ethiopia. Nature Communications, 14(1): 3517. 10.1038/s41467-023-38902-x

Du, R., Yang, D., Yin, X., 2022. Rapid detection of three common bacteria based on fluorescence spectroscopy. Sensors 22(3).

Duan, N., Shen, M., Qi, S., et al., 2020. A SERS aptasensor for simultaneous multiple pathogens detection using gold decorated PDMS substrate. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 230: 118103. 10.1016/j.saa.2020.118103

Duan, N., Wu, S., Zhu, C., et al., 2012. Dual-color upconversion fluorescence and aptamer-functionalized magnetic nanoparticles-based bioassay for the simultaneous detection of Salmonella Typhimurium and Staphylococcus aureus. Analytica Chimica Acta 723: 1–6. 10.1016/j.aca.2012.02.011

Fuentes-García J.A., Diaz-Cano, A.I., Guillen-Cervantes, A., et al., 2018. Magnetic domain interactions of Fe3O4 nanoparticles embedded in a SiO2 matrix. Scientific Reports 8(1): 5096. 10.1038/s41598-018-23460-w

Gautam, A., 2022. Magnetic bead-based nucleic acid isolation. In A. Gautam (Ed.), DNA and RNA Isolation Techniques for Non-Experts (pp. 111–117). Springer International Publishing. 10.1007/978-3-030-94230-4_15

Gonçalves-Tenório, A., Silva, B.N., Rodrigues, V., et al., 2018. Prevalence of pathogens in poultry meat: A meta-analysis of European oublished surveys. Foods 7(5). 10.3390/foods7050069

Gong, L., Wang, K., Liang, J., et al., 2023. Enhanced sensitivity and accuracy via gold nanoparticles based multi-line lateral flow immunoassay strip for Salmonella typhimurium detection in milk and orange juice. Talanta 265: 124929. 10.1016/j.talanta.2023.124929

He, D., Wu, Z., Cui, B., et al., 2019. Building a fluorescent aptasensor based on exonuclease-assisted target recycling strategy for one-step detection of T-2 toxin. Food Analytical Methods 12(2): 625–632. 10.1007/s12161-018-1392-x

He, Y., Yuan, J., Khan, I. M., et al., 2023. Research progress of aptasensor technology in the detection of foodborne pathogens. Food Control 153: 109891. 10.1016/j.foodcont.2023.109891

Jin, N., Xue, L., Ding, Y., et al., 2023. A microfluidic biosensor based on finger-driven mixing and nuclear track membrane filtration for fast and sensitive detection of Salmonella. Biosensors and Bioelectronics 220: 114844. 10.1016/j.bios.2022.114844

Khalid, A., Ahmed, R.M., Taha, M., et al., 2023. Fe3O4 nanoparticles and Fe3O4 @SiO2 core-shell: Synthesize, structural, morphological, linear, and nonlinear optical properties. Journal of Alloys and Compounds 947: 169639. 10.1016/j.jallcom.2023.169639

Khamlamoon, A., Nawattanapaiboon, K., Srikhirin, T., 2023. A magnetic nanoparticles-based method for nucleic acid extraction from specimen collection. Materials Today: Proceedings. 10.1016/j.matpr.2023.05.542

Lee, W., Hwang, B.H., 2020. Plasmonic biosensor controlled by DNAzyme for on-site genetic detection of pathogens. Biotechnology Journal 15(5): e1900329. 10.1002/biot.201900329

Li, L., Zeng, Y., Yang, G., et al., 2025. Aptamer-functionalized magnetic blade spray coupled with a nucleic acid dye-based mass tag strategy for miniature mass spectrometry analysis of endoglin. Talanta 283: 127142. 10.1016/j.talanta.2024.127142

Li, P., Li, M., Zhang, F., et al., 2021. High-efficient nucleic acid separation from animal tissue samples via surface modified magnetic nanoparticles. Separation and Purification Technology 262: 118348. 10.1016/j.seppur.2021.118348

Lin, L., Zheng, Q., Lin, J., et al., 2020. Immuno-and nucleic acid-based current technique for Salmonella detection in food. European Food Research and Technology 246(3): 373–395. 10.1007/s00217-019-03423-9

Liu, L., Zhao, G., Li, X., et al., 2022. Development of rapid and easy detection of Salmonella in food matrics using RPA-CRISPR/Cas12a method. LWT (Food Science and Technology) 162: 113443. 10.1016/j.lwt.2022.113443

Liu, Z., Lei, M., Zeng, W., et al., 2023. Synthesis of magnetic Fe3O4@SiO2-(-NH2/-COOH) nanoparticles and their application for the removal of heavy metals from wastewater. Ceramics International 49(12): 20470–20479. 10.1016/j.ceramint.2023.03.177

Materón, E.M., Miyazaki, C.M., Carr, O., et al., 2021. Magnetic nanoparticles in biomedical applications: A review. Applied Surface Science Advances 6: 100163. 10.1016/j.apsadv.2021.100163

Montesinos-Cruz, V., Somerville, G.A., 2024. Shining a light on spectrophotometry in bacteriology. Antibiotics 13(12).

Myers, J.A., Curtis, B.S., Curtis, W.R., 2013. Improving accuracy of cell and chromophore concentration measurements using optical density. BioMed Central Biophysics 6(1): 4. 10.1186/2046-1682-6-4

Nakar, A., Schmilovitch, Z.E., Vaizel-Ohayon, D., et al., 2020. Quantification of bacteria in water using PLS analysis of emission spectra of fluorescence and excitation-emission matrices. Water Research 169: 115197. 10.1016/j.watres.2019.115197

Pan, Y.-L., 2015. Detection and characterization of biological and other organic-carbon aerosol particles in atmosphere using fluorescence. Journal of Quantitative Spectroscopy and Radiative Transfer 150: 12–35. 10.1016/j.jqsrt.2014.06.007

Paniel, N., Noguer, T., 2019. Detection of Salmonella in food matrices, from conventional methods to recent aptamer-sensing technologies. Foods 8(9): 371. https://www.mdpi.com/2304-8158/8/9/371

Pgi, D., Rathnayaka, R.M.U.S.K., 2018. Fluorescence in situ hybridization (FISH) in food pathogen detection. International Journal of Molecular Biology.

Pui, C.F., Wong, W.C., Chai, L.C., et al., 2011. Simultaneous detection of Salmonella spp., Salmonella Typhi and Salmonella Typhimurium in sliced fruits using multiplex PCR. Food Control 22(2): 337–342. 10.1016/j.foodcont.2010.05.021

Qiao, Z., Xue, L., Sun, M., et al., 2023. Highly sensitive detection of Salmonella based on dual-functional HCR-mediated multivalent aptamer and amplification-free CRISPR/Cas12a system. Analytica Chimica Acta 1284: 341998. 10.1016/j.aca.2023.341998

Qiu, S., Liu, B., Leng, Y., et al., 2023. A label-free fiber ring laser biosensor for ultrahigh sensitivity detection of Salmonella Typhimurium. Biosensors and Bioelectronics 234: 115337. 10.1016/j.bios.2023.115337

Ranjbar, M., Nedaeinia, R., Goli, M., et al., 2022. Evaluation of the thermal processes on changing the phenotypic characteristics of Escherichia coli strains from ice cream compared to non-pasteurized milk. Fermentation 8(12): 730. https://www.mdpi.com/2311-5637/8/12/730

Shin, W.R., Sekhon, S.S., Kim, S.G., et al., 2018. Aptamer-based pathogen monitoring for Salmonella enterica ser. Typhimurium. Journal of Biomedical Nanotechnology 14(11): 1992–2002. 10.1166/jbn.2018.2634

Simões, J., Dong, T., 2018. Continuous and real-time detection of drinking-water pathogens with a low-cost fluorescent optofluidic sensor. Sensors 18(7).

Stevenson, K., McVey, A.F., Clark, I.B.N., et al., 2016. General calibration of microbial growth in microplate readers. Scientific Reports 6(1): 38828. 10.1038/srep38828

Su, Y., Chu, H., Tian, J., et al., 2021. Insight into the nanomaterials enhancement mechanism of nucleic acid amplification reactions. Trends in Analytical Chemistry 137: 116221. 10.1016/j.trac.2021.116221

Tas, Z., Ciftci, F., Icoz, K., et al., 2025. Emerging biomedical applications of surface-enhanced Raman spectroscopy integrated with artificial intelligence and microfluidic technologies. Spectrochimica Acta Part A: Molecular and Biomolecular Spectroscopy 339: 126285. 10.1016/j.saa.2025.126285

Wang, M., Zhang, Y., Tian, F., et al., 2021. Overview of rapid detection methods for Salmonella in foods: Progress and challenges. Foods 10(10): 2402. https://www.mdpi.com/2304-8158/10/10/2402

Wei, S., Su, Z., Bu, X., et al., 2022. On-site colorimetric detection of Salmonella typhimurium.npj (Nature Partner Journals) Science of Food 6(1): 48. 10.1038/s41538-022-00164-0

Wei, Y., Han, B., Hu, X., et al., 2012. Synthesis of Fe3O4 nanoparticles and their magnetic properties. Procedia Engineering 27: 632–637. 10.1016/j.proeng.2011.12.498

Xie, M., Chen, T., Xin, X., et al., 2022. Multiplex detection of foodborne pathogens by real-time loop-mediated isothermal amplification on a digital microfluidic chip. Food Control 136: 108824. 10.1016/j.foodcont.2022.108824

Yue, H., Shin, J.M., Tegafaw, T., et al., 2020. Magnetic separation of nucleic acids from various biological samples using silica-coated iron oxide nanobeads. Journal of Nanoparticle Research 22(12): 366. 10.1007/s11051-020-05101-4

Zha, L., Garrett, S., Sun, J., 2019. Salmonella infection in chronic inflammation and gastrointestinal cancer. Diseases 7(1). 10.3390/diseases7010028

Zhang, J., Zhou, M., Li, X., et al., 2023. Recent advances of fluorescent sensors for bacteria detection: A review. Talanta 254: 124133. 10.1016/j.talanta.2022.124133

Zhang, L., Jiang, H., Zhu, Z., et al., 2022. Integrating CRISPR/Cas within isothermal amplification for point-of-care assay of nucleic acid. Talanta 243: 123388. 10.1016/j.talanta.2022.123388

Zhao, F., Yan, H., Zheng, Y., et al., 2023. Joint concanavalin A-aptamer enabled dual recognition for anti-interference visual detection of Salmonella typhimurium in complex food matrices. Food Chemistry 426: 136581. 10.1016/j.foodchem.2023.136581

Zhao, L., Li, L., Liu, Z., et al., 2024. Aptamer functionalized magnetic hydrophobic polymer with synergetic effect for enhanced adsorption of alternariol from wheat. Food Chemistry 435: 137556. 10.1016/j.foodchem.2023.137556

Zhou, C., Zhao, Y., Guo, B., et al., 2024. Establishment of a simple, sensitive, and specific Salmonella detection method based on recombinase-aided amplification combined with dsDNA-specific nucleases. Foods 13(9): 1380. https://www.mdpi.com/2304-8158/13/9/1380

Supplementary

Figure S1. Photos of Salmonella colonies of unknown concentrations on agar plates.

Figure S2. Specificity of Salmonella detection methods.