Abstract
Sandwich assay biosensors make it possible to detect bacterial pathogens and cancer cells at extremely low level. In this chapter, we have summarized the recent developments of sandwich assay for pathogen and whole-cell detection using a variety of techniques. In particular, we highlighted some of the most common techniques in sandwich assay biosensors such as optics-based detection, electrochemistry-based detection, and mechanics-based detection.
The original version of this chapter was revised: Foreword has been included and authors’ affiliations have been updated. The erratum to this chapter is available at https://doi.org/10.1007/978-981-10-7835-4_13
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Keywords
11.1 Introduction
In the past several years, there are significant developments of diagnostic techniques for public health, food and water safety, and homeland security [1, 2]. In particular, plenty of methods and techniques have vastly advanced the detection of pathogens, cancer cells, and other disorders, namely phenotypic, immunological, molecular, and genotypic protocols [3,4,5]. Nevertheless, many of these techniques are conventional, laboratory-based diagnostic methods, which require long processing time, specialized equipment and are tedious to perform. As such, the demand for sensitive, selective, rapid, and cost-effective detection of bacterial pathogens and cancer cells is highly increasing [6,7,8].
The sandwich assay biosensors can fill this role because they are highly specific and reproducible to a variety of biological structures, organisms, and processes [9,10,11]. Moreover, easy signal amplification of sandwich assay promotes them to be with great sensitivity compared with other platforms. As such, this assay has been extensively applied to a variety of analytes, such as metal ions, small molecules, nucleic acids, proteins, and bacterial pathogens and cells [12, 13].
In terms of pathogen and cancer cell sensing, one of the well-established strategies is the detection of their biomolecule components. These components, including DNA [14, 15], RNA [16, 17], proteins [18], and exotoxins [19], have been successfully detected at exceedingly low levels by sandwich assay using polymerase chain reaction (PCR) or immunoassays techniques. The major disadvantage of this component-detecting strategy is the requirement for sample pre-enrichment, sample processing, expensive instruments, and commercial reagents. To solve this issue, sandwich assay biosensors for whole-cell detection, again, without any sample processing, are much more desirable for accurate, rapid, and cost-effective testing especially for the point-of-care detection. Additionally, whole-cell detection approach also provides the possibility of real-time monitoring of the activities of living pathogens and cancerous cells, which helps in elucidation of their functions in a developmental manner [20].
Significant efforts have been devoted in the development of whole-cell detection based on sandwich assay. In a typical sandwich assay, such as the enzyme-linked immunosorbent assay (ELISA) [21], two antibodies bind to one single target at two distinct sites to form a sandwich complex, which leads to highly specific recognition. Upon the sandwich formation, depending on the enzyme catalytic or amplified signaling mechanism, a measurable change in signals is produced and thus the target whole cell can be detected. The utilization of molecular recognition agents such as antibody, aptamer, polypeptide, and bacteriophage has been employed successfully for specifical detection of whole cells [22]. Likewise, some small molecular compounds, such as antibiotics and carbohydrates have been employed as recognition receptor for whole cells [23, 24]. The signaling mechanism has also been extensively expanded along with the development of nanomaterials. In recent years, many promising techniques have been developed and applied to nondestructive whole-cell sensing, such as optical techniques [including colorimetric analysis, fluorescence, surface plasma resonance (SPR)], electrochemical and mechanical techniques. As the sandwich assays for whole-cell sensing is vast and new works generate constantly, here, we intend to summarize comprehensively the latest advances of this field in general, in support to spur additional ideas in this area.
11.2 Optical Detection
As one of the most popular protocols, the optical whole-cell biosensor combining the nondestructive recognition event with optical measurements is of particular interests due to the highly specific bonding, profound signal amplification, visible radiation, and low detection limit. As such, it has been developed vastly based on a variety of spectroscopic techniques. Herein we discuss the colorimetric analysis, fluorescence, and SPR, which are most commonly used for whole-cell detections.
11.2.1 Colorimetric Analysis
The colorimetric analysis has attracted a lot of interest due to its visible radiation, low cost, quick feedback, and the possibility of avoiding any expensive instrument. Current studies on pathogens, cancer cells sensing by colorimetric methods aim for achieving a more specific, easy to use, more portable, and low-cost analytical system.
Toward this goal, many research works focused on sandwich assay-based biosensor coupled with nanomaterials for signal amplification [25]. For example, Zhang et al. have developed a nanoparticle cluster (NPC)-based amplification biosensor for the detection of Listeria monocytogenes, which is a highly pathogenic foodborne bacterial (Fig. 11.1) [26]. Specifically, they used a glycopeptide antibiotic, vancomycin (Van) as the first recognition agent to capture the cell wall of the pathogen. The aptamer-labeled Fe3O4 NPC was used as the signal amplification probe, which was also recognized to the pathogen. The sandwich recognition showed high specificity, in which the NPC-based method displayed higher sensitivity than the NP-based method due to its improved catalytic activity [27, 28]. Using this new method, the L. monocytogenes cells could be detected within a linear range of 5.4 × 103 to 108 CFU/mL and a visual limit of detection (LOD) of 5.4 × 103 CFU/mL [26]. Likewise, Jain et al. have recently demonstrated a surface aminated polycarbonate membrane (PC)-enhanced sandwich assay for Salmonella typhi detection. A detection limit of 2 × 103 cells/ml of bacteria has been achieved with high immobilization efficiency [29].
Gold nanoparticles (AuNPs) have been applied as color developing moiety in numerous colorimetric bioassays [30, 31]. The aggregation of AuNPs usually lead to a distinct color change from red to blue and thus promise for target detection including whole cells [32]. Lu and coworkers have developed a modified AuNPs nanoprobe for colorimetric signal amplification in the detection of Salmonella enterica. The optimized LOD is 103 CFU/mL, and their technique has been demonstrated the success of target detection in milk samples with high degree of accuracy (>90%) [33]. Xiong and coworkers have recently established an improved sandwich plasmonic ELISA (pELISA) for determination of L. monocytogenes by combining the sandwich ELISA technique with a novel signal-generation mechanism, the catalase (CAT)-mediated growth of plasmonic AuNPs [34], exhibiting an ultralow LOD value at 8 × 100 CFU/mL (Fig. 11.2) [35].
11.2.2 Fluorescence
Fluorescence detection, in contrast to colorimetric assay, is particularly attractive for bacterial pathogens and cancer cells sensing, due to their high-to-signal ratio and improved sensitivity. The commonly used signal transducers are organic dyes (see Fig. 11.3) [36,37,38] and fluorescent nanoparticles [39].
One of the objective in this area is to develop high-specific, easily implementable bioassay that can be applied to detection and identification of whole pathogens and cancer cells in complex matrices. Li and coworkers have recently demonstrated a technique for quantitative detection of the Escherichia coli O157:H7 (E. coli O157:H7) in complex media, which is one of the highly pathogenic agents. Hollow silica nanospheres loading with fluorescein (FHSNs) have been applied to the signal amplification in the sandwich-type immunoassays. Under optimized conditions, this platform provided a sensitive detection of E. coli O157:H7 cells with a linear range of 4 to 4 × 108 CFU/mL and a LOD of 3 CFU/mL. Likewise, this architecture has shown high robustness and high sensitivity for whole-cell sensing in complex sample matrices, such as milk, orange juice, and river water [40]. In another study, Dogan et al. have developed a chitosan-coated CdTe quantum dots (CdTe QDs) as the fluorescence label in the sandwich immunoassays for E. coli detection. They achieved a sensitive detection of target in urine matrix and high selectivity over the other four pathogens [41].
Fu and coworkers have recently developed an antibiotic-affinity strategy for fluorimetric detection of Staphylococcus aureus (S. aureus) cell (Fig. 11.4) [42]. Specifically, the targeted cell was sandwiched by vancocin-modified BSA and fluorescein isothiocyanate (FITC)-labeled antibody. They observed a linear detection from 1.0 × 103 to 1.0 × 109 CFU/mL with a LOD of 2.9 × 102 CFU/mL. Their method exhibited 85–130% of recoveries when applied in spiked apple juice for S. aureus detection.
11.2.3 Surface Plasmon Resonance
During the past two decades, surface plasma resonance (SPR) techniques have been extensively explored for biosensor platforms targeting pathogens and cells detections, because they are sensitive, label-free and particularly enable the real-time detections of biological targets [43].
Pathogen diagnostics using SPR techniques typically involve signal amplification in order to improve the sensitivity. For example, Eum et al. have developed a SPR-sensing platform for E. coli O157:H7 detection. In this study, they immobilized the antibodies onto gold nanorods (GNRs) to enhance the sensitivity of the biosensor. The SPR response with the GNRs labeled antibody was around fourfold improvement of the response than that of from the unlabeled antibody [45]. In another study, Santos et al. have demonstrated the use of SPR to monitor the antibody immobilization protocol for E. coli O157:H7 detection [46]. Recently, Liu et al. proposed a SPR immunosensor coupled with antibody-functionalized magnetic nanoparticles (MNPs) for Salmonella enteritidis detection (see Fig. 11.5) [44]. Specifically, they immobilized capture antibody via EDC/NHS chemistry onto Au chips and anchored the secondary antibody onto Fe3O4 MNPs using the same chemistry. This antibody-functionalized MNPs allowed the selective recognition and separation of S. enteritidis from the sample matrix under an external magnetic field. This MNPs-enhanced sandwich assay exhibited a large improvement in sensitivity as well as the detection range. Charlermroj et al. compared the sensor performance of a direct, sandwich, or subtractive immunoassay for the detection of bacteria Acidovorax avenae subsp. citrulli (Aac) and discovered that the direct assay format exhibited the best sensitivity, while, the sandwich assay provided the best signal enhancement [47].
As it is commonly seen for SPR-based pathogen detections, nanoparticle amplification is widely employed for cancer cell detections using SPR technique. For example, Chen et al. reported a sensitive SPR biosensor coupled with MNPs for the determination of breast cancer cell MCF-7 [48]. The target cancer cells were firstly captured by the aptamer on the surface, followed by the binding event of antibody-labeled MNP to form a sandwich assay. As such, the SPR signal enhanced significantly by MNP immobilization due to the large mass effect and high refractive index of the assays. With such signal enhancement, this platform exhibited a detection limit of 500 cells/mL. In a more recent study, Mousavi et al. have developed a microfluidic chip combined with gold nanoslit SPR for cancer cells detections in human blood [49]. They coupled this platform with magnetic nanoparticles in support for efficient immunomagnetic capturing and separation. At last, a LOD of 13 cells/mL and real-time monitoring of the whole process were achieved (Fig. 11.6).
11.3 Electrochemical Detection
The signaling mechanism of electrochemical sandwich assays is based on the electronic communication between the transducer and biomolecules. Because of this unique signaling mechanism, the electrochemical sandwich assays are sensitive, selective, rapid, miniaturizable, and cost-effective, which make them to be of particular interests. They are, for most of cases, more practical for the development of point-of-care devices, especially for the pathogen and cell detections [50].
Electrochemical sandwich-type biosensors for whole-cell detections are typically composed of three components: capture element, target cells, and signal transducer elements. Capture elements are usually DNA/RNA aptamers or antibodies, which are used for anchoring the sandwich scaffold onto electrodes. Meanwhile, transducer elements, which can be small redox labels, metal ion, or other redox-active species, could report the signal change from target cell binding-induction. In order to achieve high sensitivity and selectivity for cell detection, two mainly signal amplification strategies have been explored. One is based on redox tags such as enzymatic catalyst and metal nanoparticles, and the other is adoption of loading substrate where the graphene and carbon nanotube would be widely employed due to their large surface areas.
Conventional culture plating methods for E. coli O157:H7 detection take several days to obtain results, while electrochemical sandwich-type biosensor could provide rapid and sensitive detection [51, 52]. Li et al. have developed a sensitive and efficient electrochemical sandwich assay for detection of E. coli (see Fig. 11.7) [51]. Specifically, they immobilized the capture antibodies, which was pre-assembled onto a SiO2-coated AuNPs via a biotin-avidin interaction, onto chitosan-fullerene (C60) composite nanolayer, and then labeled probe antibodies with glucose oxidase (GOD)-loaded Pt nanochains (PtNCs) which served as tracing tag. With such an immunoreaction, they observed a linear detection from 30 to 106 CFU/mL and a LOD of 15 CFU/mL.
Likewise, in another electrochemical immunosensor study, the polypyrrole (PPy)/AuNP/multi-wall carbon nanotube/chitosan hybrid bionanocomposite was employed to modify pencil graphite electrode (PGE) for signal amplification. As such, this platform exhibited a detection linear range from 10 to 107 CFU/mL and detection limit of 30 CFU/mL in PBS buffer [53]. Dos Santos et al. have developed a label-free immunoassay using electrochemical impedance spectroscopy (EIS). They studied the surface antibody functionalization and morphological features by fluorescence and atomic force microscopy. This label-free platform exhibited a detection limit of 2 CFU/mL and a linear range from 30 to 104 CFU/mL [46]. Wang et al. reported a magnetoimmunoassay for rapid separation and sensitive detection of target cells from broth samples [52]. The electrochemical detection of other foodborne pathogens such as L. monocytogenes, Salmonella pullorum, S. aureus, and Salmonella gallinarum has been also reported [54,55,56,57,58].
Recently, Zhu et al. have developed an aptamer-cell-aptamer assay for MCF-7 cancer cell detection, employing enzyme label HRP as signal amplification [59]. Specifically, they fabricated the sensing platform by firstly immobilizing the capture aptamer on Au electrode surface and then capturing target cells followed by an HRP-labeled aptamer. This platform exhibited a detection range from 100 to 1 × 107 cells/mL, and the detection limit was as low as 100 cells/mL. Likewise, for the detection of the same target cell MCF-7, another study has demonstrated a specific recognition between the aptamer and MUC1 protein that overexpressed on the out surface of the cells [60]. This sensing platform employed aptamer-anchored magnetic beads for cell separations and capture with high selectivity and employed Ag-coated AuNPs as signal amplification. This architecture has achieved a linear detection range between 103 and 105 cells/mL, and the LOD for MCF-7 cell was estimated to be 500 cells/mL. Ge et al. have demonstrated a detection method for the determination of K-562 cells, chronic myelogenous leukemia cells, based on intrinsic peroxidase-like catalytic activity of trimetallic dendritic Au@PdPt nanoparticles, achieving a detection range from 1.0 × 102 to 2.0 × 107 cells/mL and a LOD of 31 cells/mL (see Fig. 11.8) [61].
As it is commonly seen for aptamer-based sandwich assay, nanoparticles have been reported for cancer cell detection in electrochemical antibody-based sandwich assay. Chandra et al. developed an electrochemical-sensing platform for drug-resistant cancer cells detection based on Permeability glycoprotein (P-gp) antigen–antibody interaction [62]. Employing Au nanoparticles for loading monoclonal P-gp antibody and hydrazine-labeled carbon nanotube as reduction catalyst, this assay exhibited a linear range from 50 to 1.0 × 105 cells/mL with the detection limit of 2000 cells/mL. In a more recent study, the same research group has further developed a similar platform, again, via employing AuNP as loading support and hydrazine as reduction catalyst, for the determination of metastatic cancer cells. This platform, likewise, achieved a wide linear range between 45 and 1.0 × 105 cells/mL [63].
11.4 Mechanical Biosensors
Sandwich assay-based mechanical biosensors are currently underdeveloped area, in contrast to the optical and electrochemical approaches, for the detection of pathogen and whole cell. Quartz crystal microbalance (QCM), a mechanical technique, relies on a mass variation per unit area by measuring the change in frequency of a quartz crystal resonator. Tothill’s group has recently demonstrated a QCM approach based on AuNPs amplified sandwich-type assays for the rapid and real-time detection of bacterial pathogens [64, 65]. For the detection of Salmonella, they observed a LOD value at 10 to 20 CFU/mL, while sensing Campylobacter jejuni, the sensitivity was 150 CFU/mL.
11.5 Conclusion
The applications of sandwich assay biosensors for whole-cell detection are growing rapidly and, as described throughout this chapter, they have been incorporated with different recognition agents and signal transducers. Further improvement of the architecture design, increase bio-receptor selectivity and stability of the assay, and enhancement of transducer sensitivity will pave way for selective, sensitive, rapid, and cost-effective detection of bacterial pathogens and cancer cells at complex sample matrix.
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Li, S., Li, H., Xia, F. (2018). Sandwich Assay for Pathogen and Cells Detection. In: Xia, F., Zhang, X., Lou, X., Yuan, Q. (eds) Biosensors Based on Sandwich Assays. Springer, Singapore. https://doi.org/10.1007/978-981-10-7835-4_11
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