 Open Access Article
 Open Access Article
      
        
          
            Zhao-Yu 
            Lu
          
        
      a and 
      
        
          
            Yang-Hsiang 
            Chan
          
        
       *abc
*abc
      
aDepartment of Applied Chemistry, National Yang Ming Chiao Tung University, Hsinchu, 30050 Taiwan. E-mail: yhchan@nycu.edu.tw
      
bCenter for Emergent Functional Matter Science, National Yang Ming Chiao Tung University, Hsinchu, 30050 Taiwan
      
cDepartment of Medicinal and Applied Chemistry, Kaohsiung Medical University, Kaohsiung, 80708 Taiwan
    
First published on 23rd August 2024
In the field of point-of-care diagnostics, lateral flow assays (LFAs) stand out as highly promising due to their compact size, ease of use, and rapid analysis times. These attributes make LFAs invaluable, especially in urgent situations or resource-limited regions. However, their Achilles' heel has always been their limited sensitivity and selectivity. To address these issues, various innovative approaches, including sample enrichment, assay optimization, and signal amplification, have been developed and are extensively discussed in the literature. Despite these advancements, the importance of antibody orientation is often neglected, even though improper orientation can significantly impair detection performance. This review article first explores well-established traditional methodologies, such as minor physical adjustments and non-specific chemical bond formations. It then shifts focus to the oriented immobilization of antibodies on probe surfaces. This approach aims to enhance sensitivity and selectivity fundamentally by leveraging protein affinities or complementary amino acid sequences. The review summarizes the impact of antibody orientation on the analytical performance of LFAs in terms of sensitivity, specificity, speed, reliability, cost-effectiveness, and stability. Additionally, we introduce recent modifications to assay membrane materials and discuss the current limitations and future prospects of LFAs.
During the COVID-19 pandemic, pre-existing problems were magnified, exacerbating chaos due to the uneven distribution of clinical resources and shortages of medical personnel. This led to the extension of epidemic areas and a soaring death rate.10–12 As a result, there was an urgent need for a commercially available diagnostic tool capable of providing rapid, high-medium accuracy results without requiring individuals to leave their homes or seek professional guidance. This demand aligned with the concept of point-of-care testing,13 leading to a resurgence in the popularity of LFAs In such emergencies, LFAs became indispensable as they offered a portable, affordable, and professional-free diagnostic solution (Scheme 1). LFAs struck a balance between turnaround time and accuracy, delivering results in under half an hour. In contrast, PCR testing required in-person sampling and took hours to days for results, posing additional cost burdens.14 Despite not being perfect, LFAs demonstrated sensitivity ranging from 37.7% to 99.2% and over 92% selectivity,15 surpassing self-diagnostics used at home. However, as LFAs gained popularity, concerns about sensitivity and selectivity grew.16 False negatives and false positives remained significant challenges,17–19 impacting human rights and endangering lives by affecting quarantine lengths and hospitalization decisions.
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| Scheme 1 Overview for the comparison of traditional RT-PCR with current LFAs aiming at enhanced sensitivity and selectivity. | ||
Continuous efforts are made to enhance the selectivity and sensitivity of LFAs, which can be categorized into internal and external modifications (Scheme 2). Internal modifications focus on improving chemical interactions within the LFA system, such as the use of polymer-based LFAs to facilitate protein grafting via the hydrophobic effect,20 the implementation of 3D bio-linkers to reduce steric hindrance and control fluid flow rate by increasing surface area,21 and the addition of extra conjugated pads to allow for multi-layer nanoparticle (NP) conjugation, thereby enhancing colorimetric signal strength.22 On the other hand, external modifications primarily target the expression of signals or readouts. Examples include: (i) adjusting the size of gold nanoparticles (AuNPs), (ii) optimizing the length of linkers, (iii) applying electroactive tags, and (iv) enhancing visual signals. The first two strategies focus on amplifying surface plasmon resonance (SPR), while the latter two aim to improve detection methods using electrical signals, chemiluminescence, colorimetry, or quantum dots.5,23 Additionally, magnetism can be utilized for sample localization and preconcentration.24 Despite the myriad of techniques available, these modifications often prioritize assay advancement and sample enrichment,25 potentially compromising the inherent advantages of LFAs relative to PCR, such as their short detection time, simple assay design, and minimal sample pretreatment requirements.23 Upon closer examination, it becomes apparent that the primary objective of conventional approaches is to improve binding efficiency, a consequence derived from achieving correct probe orientations.26,27
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| Scheme 2 Strategies of the modification of antibody orientation: membrane engineering and probe modification. | ||
Being conscious of the critical role of probe orientation, recent studies have placed significant emphasis on immobilization techniques. Immobilization, in essence, leverages (bio)chemistry to maximize the exposure of effective binding sites, thereby enhancing binding efficiency. Whether anchoring probes onto nanoparticles, specific analytes, or test and control lines, oriented immobilization ensures secure and precise bindings by maximizing the exposure of binding sites. In such scenarios, LFAs maintain their hallmark characteristics of short detection times, low complexity, and minimal sample pretreatment requirements. Additionally, higher sensitivity and/or selectivity are achieved as a result of an increased number of capture–analyte complexes.28 While the theory behind oriented immobilization appears straightforward, practical complexities often hinder scientists from implementing these techniques. Introducing immobilization methods that are easy to rationalize and operate, such as pH modulation and surface charge adaptation, may encounter obstacles, such as limited immobilization efficiency. Chemical bonds formed in these methods are often induced and therefore weak in energy, leading to potential challenges in achieving oriented immobilization.27,29 For methods with higher immobilization efficiency, costs may be reflected in terms of expense, time, and effort. Binding through chemically designed covalent bonds, for example, is relatively effective but requires additional steps and the risk of probe conformational changes must be considered.30 Incorporating proteins as assistants presents a double-edged sword. On one hand, proper proteins can guide probes directionally due to specific interactions in protein domains. On the other hand, as proteins are biologically active, factors such as environmental conditions, affinity to targets, and cross-activities to other functional groups must be carefully considered.21,31
It's undeniable that the existing methodologies aimed at improving the performance of LFAs still have room for enhancement. However, achieving high sensitivity and selectivity is imperative for realizing the concept of point-of-care diagnostics. Currently, oriented immobilization appears to offer the most promising solution. Generally, antibody immobilization methodologies can be categorized into two main types: non-covalent modification and covalent modification. Regardless of the principle employed, the primary goal is to maximize the exposure of binding sites to maximize sensitivity and selectivity in LFAs. When antibodies are attached to the membrane surfaces of LFAs, four types of arrangements may occur. Among these, the “end on” orientation is considered superior as it exposes the binding sites on Fab segments to a greater extent, significantly enhancing the likelihood of efficient bindings.32 Consequently, efforts focused on tuning antibodies to achieve an end-on orientation have become a focal point.
To achieve more oriented and complete immobilization of antibodies, various modification methodologies have been developed. Oriented immobilizations can be categorized into two groups based on where the modifications occur: probe modification and membrane modification (Scheme 2). Probe modification involves both non-covalent and covalent methods depending on the type of chemical bonds formed. In contrast, membrane modification includes modification of test and control lines, as well as the substrate compositions of the test strips (Scheme 3).
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| Scheme 3 Tree diagram summarizing the strategies of antibody immobilization with ordered orientation. | ||
Recently, Sotnikov et al. developed an advanced secondary stage LFA based on the conventional type.53 By incorporating an immunoglobulin-binding protein, they amplified the oriented conjugate concentration, thereby significantly enhancing sensitivity (Fig. 1A(i)). The initial phase of immunochromatographic serodiagnosis was performed in its standard format, utilizing a conjugate of gold nanoparticles with staphylococcal immunoglobulin-binding protein A and an antigen immobilized on a working membrane. In the subsequent phase, a labeled immunoglobulin-binding protein was introduced, which intensified the coloration of the bound immune complexes. This two-step method—binding specific antibodies followed by enhancing the coloration of the complexes—significantly minimized the impact of non-specific immunoglobulins on the assay results (Fig. 1A(ii)). This approach was tested using a recombinant RBD protein of SARS-CoV-2, resulting in a more than two orders of magnitude increase in test zone coloration intensity, thereby markedly reducing false-negative outcomes. The diagnostic sensitivity of the LFA improved from 62.5% in the conventional format to 100% in the enhanced format. Similarly, in Kim's study, the oriented immobilization of antibodies on magnetic beads using protein G was compared to random immobilization with amine groups (Fig. 1B).54 Although the conjugate concentration was lower with oriented immobilization, a larger signal enhancement was observed at higher target concentrations. This indicates that using oriented immobilization techniques can indeed improve sensitivity. In addition to the direct application of protein A and protein G, crosslinking techniques can also be employed. Choi and his team genetically engineered protein G to include two cysteine residues at its C-terminus.55 This modification allows the thiol groups on cysteine to self-assemble onto a gold surface, greatly enhancing the fluorescence performance of the gold plate (Fig. 1C).
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| Fig. 1 Antibody oriented immobilization with the assistance with protein A or protein G. (A) Protein A facilitates secondary stage LFA: (i) scheme of the proposed enhanced serodiagnostic LFA and (ii) photographs of test strips after the common (left panel) and enhanced (right panel) LFA of samples containing 0 (1), 0.003 (2), 0.01 (3), 0.03 (4), 0.1 (5), 0.3 (6), 1 (7), 3 (8), and 10 (9) μg mL−1 of MAb RBD5313. (B) Immobilization of antibodies onto magnetic beads in random (left) and oriented (right) manners. (C-i) Schematic showing the IgG Fc-binding domain modification and IgG immobilization on gold surface by the cysteine-modified protein G. (C-ii) Fluorescence microscope analysis of Cy3-labeled antibodies immobilized on PBS-treated gold (left), wild-type protein-treated (middle), and cysteine-modified protein G-treated (right) gold surface. Reproduced with permission from ref. 53 and 55. | ||
![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) :
:![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 1,57 making them highly suitable for biomolecule conjugation. It is important to note that despite sharing a common origin with “avidin,” streptavidin and avidin come from different biological sources.58 This results in differing affinities for biotin. Avidin, in particular, is reported to exhibit pseudocatalytic activity and nonspecific binding.59
1,57 making them highly suitable for biomolecule conjugation. It is important to note that despite sharing a common origin with “avidin,” streptavidin and avidin come from different biological sources.58 This results in differing affinities for biotin. Avidin, in particular, is reported to exhibit pseudocatalytic activity and nonspecific binding.59
            The pre-incubation of streptavidin with capture probes leads to the multi-oriented immobilization of streptavidin complexes, where the binding sites are then exposed for biotinylated detection probes. Although specific orientation was not realized through this interaction, the multivalent interaction of streptavidin with biotinylated antibodies usually lead to signal enhancement. Nichols and his colleagues successfully applied this method to achieve the detection of SARS-CoV-2, as shown in Fig. 2A.60 In another example, Wu's group devised BioAb/SA-BSA/MPA/AuNS/SPCE-based immunosensors specifically intended for detecting SARS-CoV-2 (Fig. 2B(i)).61 Specifically, this research developed label-free electrochemical impedance spectroscopy (EIS)-based immunosensors using gold nanostructured screen-printed carbon electrodes (AuNS/SPCEs) to detect the SARS-CoV-2 nucleocapsid protein (N-protein) in saliva. By utilizing short-chain 3-mercaptopropionic acid (MPA) as a linker to covalently bond streptavidin (SA) and bovine serum albumin (BSA) for controlling the oriented immobilization of the biotinylated anti-N-protein antibody (BioAb), the developed immunosensors exhibited improved sensitivity, a lower limit of detection (LOD), and better reproducibility compared to randomly immobilized antibody immunosensors and long-chain 11-mercaptoundecanoic acid (MUA)-modified immunosensors (BioAb/SA-BSA/MUA/AuNS/SPCEs). Additionally, the immunosensor displayed minimal cross-reactivity with other viral antigens, including MERS-CoV N-protein, influenza A N-protein, influenza B N-protein, and SARS-CoV-2 spike protein, underscoring the high specificity of the immunosensors (Fig. 2B(ii)). This illustrates the potential for improved virus detection through the use of BSA in immobilizing antibodies on various materials.
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| Fig. 2 Antibody oriented immobilization with the assistance from biotin–avidin interactions. (A-i) Development of a half-strip LFA with the introduction of biotin–avidin chemistry for the detection of SARS-CoV-2. (A-ii) Dose–response curve produced for the half-strip LFA by employing two commercially accessible SARS-CoV-2 nucleocapsid (N) proteins obtained from Genemedi and Genscript. (B-i) The steps showing the fabrication of the AuNS/SCPE-based immunosensor, including modification of AuNS/SPCE with MPA, activation with EDC/NHS, immobilization of SA-BSA, immobilization of BioAb, and finally, N-protein immunoreaction. (B-ii) Specificity performance of the BioAb/SA-BSA/MPA/SPCEs towards various analytes. Reproduced with permission from ref. 60 and 61. | ||
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| Fig. 3 Modification of antibody orientation with the assistance from amine and carboxyl groups. (A-i) Schematic of the configuration and the detection mechanism of AIEgen-based test strips. (A-ii) Images of the test strips under 365 nm light irradiation for 0, 0.001, 0.01, 0.1, 1, 10, and 20 μg mL−1 RBD (left) and N (middle) proteins in PBS. Right panel: Images of the test strips under 365 nm light irradiation after reaction with samples containing different antigens (AFP, HCG, CEA, CA125, HSA, S2 protein, RBD protein, FBS, CRP, and N protein at 1 μg mL−1). (B-i) Schematic showing the traditional method for functionalization of antibodies on the probe surfaces. (B-ii) Modification of diamine as the linker between probe surfaces and antibodies. The bottom panels show the photographs of test strips after reaction with samples containing 0 or 5 ng mL−1 of PSA antigens. Reproduced with permission from ref. 68 and 72. | ||
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| Fig. 4 (A) Diagram illustrating the enhanced sandwich LFA for the detection of SARS-CoV-2 S1 antigen in saliva samples. (B) The relationships between the intensity of color in the enhanced LFA strip, using Nbs or mAbs, and the number of viral copies in saliva samples. Reproduced with permission from ref. 83. | ||
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| Fig. 5 Antibody oriented immobilization with the assistance from carbohydrate. (A-i) Schematic diagram showing the lateral flow sandwich immunoassay with quantum dots as the signal reporters. Conjugation between antibody and quantum dot through carbohydrate groups is achieved by oxidation of glycosylated regions in the Fc region of the antibody. (A-ii) Comparison of signal response to analytes between common EDC coupling and carbohydrate oxidation followed by reductive amination. (B-i) Diagrammatic sketch of a glyconanoparticle-based oriented antibody microarray for lectin sensing assay. (B-ii) The comparison of the detection performance between the capture antibody fabricated by oriented immobilization through boronate formation and by random amide bond formation. Reproduced with permission from ref. 90 and 91. | ||
So far, the most common and practical oriented immobilization methodologies have been introduced. For more comprehensive or advanced techniques that can be applied to LFAs, several reviews have discussed them in detail.51,92
![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) :
:![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 5 and 1
5 and 1![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) :
:![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 10 dilutions), nonspecific antibody bindings were observed, leading to lower R values. Since most probes and serum used in LFAs are protein-based, cross-reactivity among proteins can often lead to false detection results. In such cases, coating the test and control lines with protein A and protein G may not be ideal; instead, using antigens as capture probes is recommended. This is due to the specific interaction between antigens and their corresponding immunoglobulins, which reduces the likelihood of non-specific binding. Additionally, selecting the appropriate serum and performing dilution steps are crucial. Serum with fewer interfering proteins minimizes the risk of binding with protein A or protein G and the immobilized capture probes, thereby improving sensitivity and selectivity.99 In another example, to fulfill the diagnosis of visceral leishmaniasis (VL), the Anfossi's team not only used protein A to coat the control line but also made gold nanoparticle signal reporters which labelled with protein A (GNP-pA).100 As for the material of test line, it was composed of recombinant chimeric antigen (rCAg) which can target VL specifically. It is worthwhile noticing that VL is often linked to hypergammaglobulinemia, where high levels of gamma globulins can saturate the probe's binding capacity, preventing it from reacting with the immunoglobulins at the control line. When the sample is loaded, fluid containing only generic canine IgG will be captured by GNP-pA and subsequently by the protein A-coated control line, resulting in a negative outcome. However, if anti-leishmanial antibodies are present, the GNP-pA will bind with both, producing two red lines (a positive result) from the rCAg-coated test line that target anti-leishmanial antibodies, and the protein A-coated control line which detect generic canine IgG.
10 dilutions), nonspecific antibody bindings were observed, leading to lower R values. Since most probes and serum used in LFAs are protein-based, cross-reactivity among proteins can often lead to false detection results. In such cases, coating the test and control lines with protein A and protein G may not be ideal; instead, using antigens as capture probes is recommended. This is due to the specific interaction between antigens and their corresponding immunoglobulins, which reduces the likelihood of non-specific binding. Additionally, selecting the appropriate serum and performing dilution steps are crucial. Serum with fewer interfering proteins minimizes the risk of binding with protein A or protein G and the immobilized capture probes, thereby improving sensitivity and selectivity.99 In another example, to fulfill the diagnosis of visceral leishmaniasis (VL), the Anfossi's team not only used protein A to coat the control line but also made gold nanoparticle signal reporters which labelled with protein A (GNP-pA).100 As for the material of test line, it was composed of recombinant chimeric antigen (rCAg) which can target VL specifically. It is worthwhile noticing that VL is often linked to hypergammaglobulinemia, where high levels of gamma globulins can saturate the probe's binding capacity, preventing it from reacting with the immunoglobulins at the control line. When the sample is loaded, fluid containing only generic canine IgG will be captured by GNP-pA and subsequently by the protein A-coated control line, resulting in a negative outcome. However, if anti-leishmanial antibodies are present, the GNP-pA will bind with both, producing two red lines (a positive result) from the rCAg-coated test line that target anti-leishmanial antibodies, and the protein A-coated control line which detect generic canine IgG.
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| Fig. 6  (A) Test line modification with pre-coated recombinant protein G for oriented antibody immobilization. (B) Detection limit of dilutions range from 1 ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) : ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 5 to 1 ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) : ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 40 ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 690 by introducing Kato Katz-positive participant's pooled serum sample. Detection limit of 1 ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) : ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 20 ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 480 was reported. C: control line; T: test line; NC, a pooled serum sample from non-endemic controls tested at a dilution of 1 ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) : ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 5. Reproduced with permission from ref. 98. | ||
In addition to conventional capture substrates like antibodies and RNA or DNA sequences, streptavidin-precoated strip lines enable the oriented immobilization of biotinylated nanobodies. Nanobodies (Nbs), as fragments of antibodies, consist of a single recombinant variable domain of the heavy chain with a dissociation constant ranging from 10−6–10−11 M.107,108 This characteristic makes Nbs significantly smaller (∼15 kDa) compared to conventional antibodies (∼150 kDa), reducing steric hindrance during deposition. Furthermore, the absence of light chains eliminates a large number of reactive amine groups, decreasing the likelihood of unoriented binding. Additionally, their higher resistance to thermal and chemical denaturation compared to conventional antibodies further enhances the shelf life of LFAs.
Magez's group designed LFAs utilizing the Nb44/Nb42 pair to specifically target T. congolense (Fig. 7A).107 During optimization, they discovered that biotinylated Nb42 conjugated with streptavidin-coated test lines outperformed directly deposited Nb42, achieving a LOD of 0.22 TcoPYK μg ml−1 compared to 0.88 TcoPYK μg ml−1 for the latter (Fig. 7B). Magez et al. attributed this improvement to the enhanced orientation and immobilization efficiency provided by BSA pairs. Furthermore, they optimized the assay buffer, using 1% methylcellulose and 1% Tween20 in PBS, to increase sample viscosity and reduce plasma matrix effects. This adjustment lowered the LOD to 0.014 TcoPYK μg ml−1 (in naïve mouse serum), compared to 0.110 TcoPYK μg ml−1 with the untreated buffer (Fig. 7C), highlighting the importance of factors beyond merely capture probes and targets. In detection tests for T. congolense, mice and cattle served as subjects. In the mice “test-of-cure” experiments, infected subjects were divided into three groups: untreated, treated with berenil at 6 days post-infection, and treated at 14 days post-infection. The performances of Nb44/Nb42 LFAs were compared with ELISA and microscopy results. Kappa coefficient analysis yielded values of 0.746 ± 0.211, 0.653 ± 0.221, and 0.764 ± 0.195 for microscopy-ELISA, microscopy-LFA, and ELISA-LFA, respectively. The authors noted a higher false negative rate for the LFAs, attributing it to the technical limitations of LFA, such as insufficient incubation time and the absence of an enzyme-mediated signal amplification step. In cattle tests, the sensitivity was 79.17% and the selectivity was 91.89%, with a visual LOD approximately 60 times lower (0.88 TcoPYK μg ml−1) than in mice tests (0.11 TcoPYK μg ml−1). The authors suggested that the difference was due to variations in plasma composition between animals. They proposed using a bivalent capture nanobody with AuNPs (Nb44–Nb44–AuNPs) to enhance affinity and signal amplification, potentially overcoming these limitations.
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| Fig. 7 (A) Design of Nb-based LFA that targets T. congolense. (B) Detection limit of PBS spiked with a dilution series of TcoPYK: Nb42-coated test line (0.88 μg ml−1, left) and biotinylated Nb42-coated test line (0.22 μg ml−1, right). (C) Detection limit of naive cattle serum spiked with a dilution series of TcoPYK: utilizing monovalent Nb44–AuNPs (0.88 μg ml−1, left) and bivalent Nb44–Nb44–AuNPs (0.11 μg ml−1, right) as capture antibodies. Reproduced with permission from ref. 107. | ||
In Bruylants' dipstick assay,111 the immobilization of p14 peptide aptamers on test lines as capture probes was achieved via BSA interaction, targeting the cancer biomarker Mdm2. The system achieved a detection limit of 2 nM using AgNPls-X4–p53 as a colorimetric detector, outperforming commercially available anti-Mdm2 polyclonal antibodies. Interestingly, it is suggested that the presence of five arginine residues on each p14 peptide may cause electrostatic attraction to streptavidin and AgNPls-X4–p53, leading to false positives. To demonstrate the value of the peptide aptamer-based system, the experimental group named p14 BSA was compared with the traditional antibody system, anti-Mdm2 pAB. When exposed to 8 nM Mdm2, only the assays containing peptide aptamers produced visible test lines, regardless of whether the detector reagent was AgNPls-X4–p53 or AgNPls-X4–anti-Mdm2 pAB. Additionally, the shelf-life test showed that the peptide aptamer-based system could reliably detect Mdm2 even after one year of storage at room temperature, in contrast to conventional antibody-based assays, which lost function after a few weeks at 4 °C.
To address the limitation of recognition probes, self-assembled tetrahedral DNA nanostructures (TDNs) were developed. Through a series of processes including size control, ssDNA hybridization, Au–S bond self-assembly, and capture probe modification, four ssDNA oligonucleotides are formed into a 3D structure specifically immobilized on a gold surface. This structure provides high mechanical strength and modifiability. The rigid frame of TDNs allows for easier tuning of orientation and density, reducing steric hindrance commonly encountered in LFAs. The versatile DNA aptamers enable targeting a wide range of nucleic acids and proteins, making the TDNs-based biosensing platform universal. This platform can target DNAs,112 microRNAs,113 small molecules,114 and protein biomarkers.115 Furthermore, due to TDNs' adaptability to various capture probes, multiplex bioanalysis is possible.116,117 However, despite their many advantages, the time-consuming and delicate experimental procedures are significant drawbacks that need to be addressed.118,119
The work of Zuo et al. clearly demonstrates the significance of oriented antibodies and the spacing between capture probes.120 Using TDNs, the team developed a gold electrode platform covered with a TDN monolayer through Au–S chemistry. For comparison, they also constructed a monolayer of thiolated double-strand DNA (ds-DNA). Both layers were incubated overnight to fully deposit on the gold electrodes. To achieve oriented immobilization of antibodies, linkers with alkyne groups were paired complementarily with the ds-DNA and TDNs, allowing for covalent bonding of capture antibodies with the alkyne groups. This ensured a well-ordered orientation of the antibodies. Upon treatment with PSA, the tetrahedron-based monolayer achieved a detection limit of 500 pg ml−1, while the ds-DNA-based monolayer had a detection limit of only 10 ng ml−1. Zuo's group attributed this significant difference to the dense packing caused by ds-DNAs, resulting in 2.4 nm spacing. In contrast, the TDN-based structure allowed for a 5.0 nm spacing, comparable to the size of the capture antibody. This increased spacing is crucial for oriented immobilization, as it reduces steric hindrance, minimizes unordered physical adsorption, and exposes more Fab regions on the antibodies for detection. To further enhance the detection of extremely low concentrations of PSA, AuNPs were used to amplify the signal, resulting in detection limits of 1 pg ml−1 and 50 pg ml−1 for the TDN and ds-DNA-based gold electrodes, respectively. In selectivity tests, the TDN-based electrodes with PSA capture probes showed minimal signals even when exposed to 10 μg ml−1 of CEA and AFP. Practical serum tests from 11 patients corresponded well with actual PSA concentrations. Additionally, the platform demonstrated programmability by successfully detecting CEA and AFP through the modification of capture antibodies.
The implementation of TDNs on lateral flow test strips was accomplished by Yu and Zha's team.121 Their design involved the use of barcode TDNs on the test lines (tDTs) and biotinylated TDNs on the control lines (cDTs), which were applied using a dispenser. For the ratiometric visual detection of exosomal miRNA-150-5p, the recognition substrates were designed to hybridize with hairpin 1, which carries a sequence complementary to the capture probe on the tDTs, and hairpin 2, which has a biotin label on its 5′ end to bind with streptavidin-modified AuNPs. This setup ensures that any H1/H2-streptavidin labeled AuNP complexes not captured by the tDTs will anchor to the cDTs through B-SA interaction (Fig. 8A). The competitive binding of tDTs and cDTs with the recognition hybrids creates a ratiometric effect, allowing T/C ratios to serve as indicators in sensitivity and selectivity tests. When exposed to varying concentrations of miRNA-150-5p ranging from 10−8 to 10−13 M, a linear calibration curve with a correlation coefficient of 0.9921 was obtained, with a detection limit calculated at 58.60 fM (Fig. 8B). The strip's high selectivity was demonstrated by testing with four other miRNAs, where only the miRNA-150-5p group exhibited a high T/C ratio (Fig. 8C). In the clinical utility experiment, the ratiometric strip measured miRNA-150-5p at 1.43 pM, compared to 1.72 pM obtained via real-time fluorescence PCR, demonstrating a high degree of accuracy and suggesting the potential for TDNs in diagnostic applications. However, for the still-developing TDNs technology, the key challenges remain to simplify probe fabrication procedures and reduce detection time (optimized to 50 min in this study) to achieve a true POC tool.119,122
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| Fig. 8 (A) Design of ratiometric LFA based on DNA tetrahedron-coated strips that target exosomal microRNA-150-5p. (B) Sensitivity test by applying 0, 10−13, 10−12, 10−11, 10−10, 10−9, and 10−8 M of miR-150-5p (left). LOD of 0.9921 was yielded built on the data from sensitivity test (right). (C) Selectivity test by introducing miR-150-5p, single-base mismatched miR-150-5p, two-base mismatched miR-150-5p, random miRNAs, and miR-21 (group b–f, accordingly. With group a as blank) (left). The ratiometric device performed significantly larger T/C ratios when treated with miR-150-5p, group b (right). Reproduced with permission from ref. 121. | ||
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| Fig. 9 (A) Schematic comparison of traditional and HFBI-modified LFA. (B) LODs for HFBI-modified and unmodified FICTS for detection of PSA targets (top left). Sensitivity test (bottom left): visual readout on HFBI-modified FICTS by treating PSA targets of 0, 0.2, 1, 2, 5, and 12 ng mL−1, respectively. Selectivity test (right): HFBI-modified LFA after reacting with different antigens. Reproduced with permission from ref. 125. | ||
As a relatively new method for creating well-oriented POC devices, cellulose-based membranes are now being integrated with various domains found in carbohydrate-active enzymes.134 This fusion is then anchored with selected proteins capable of specifically binding antibodies, thereby achieving oriented antibody immobilization. For example, carbohydrate-binding modules (CBMs) are distinct protein segments found in many carbohydrate-active enzymes.135,136 Their capacity to bind a variety of carbohydrates, ranging from disaccharides and oligosaccharides to polysaccharides like cellulose, with high selectivity and specificity has led to numerous biotechnological applications. In essence, CBM-fused antibodies exploit the natural affinity of CBMs for cellulose, combined with specific domain or fragment binding steps. This innovative approach leverages the inherent properties of CBMs to facilitate the precise orientation of antibodies on cellulose-based membranes. The initial layer of fusion between CBMs and the cellulose membrane is achieved using biomolecular engineering, employing carbohydrate-active enzymes like cellulosomal-scaffolding protein A from Clostridium thermocellum (CBM3). The second layer involves anchoring CBMs to biorecognition proteins through specific domains. Several well-known CBM–protein pairs have been discovered and studied, including FLAG tag-IgG, avidin–biotin, PDZ domain-peptide, and zz-IgG. The third layer focuses on immobilizing antibodies via their Fc regions to expose the Fab portions, or alternatively, attaching oligonucleotides to the biorecognition proteins.131 When antibodies are used, biorecognition proteins are required to bind to the Fc region, ensuring the Fab region is exposed for target interaction. In contrast, if oligonucleotides are employed, terminal modifications are necessary to enable covalent bonding with recombinant CBM fusion proteins.131,132 This is accomplished through specific combinations of domains on the proteins and their corresponding substrates. These layers of fusion enable the development of oriented CBM-assisted LFAs on cellulose-based membranes.
To assess whether CBM–cellulose fused LFAs are more effective in terms of sensitivity and selectivity compared to NC-based LFAs, several experiments were conducted. França Prazeres's group first prepared a traditional LFA format, which relies on the random adsorption of capture antibodies on the test lines of an NC membrane, to compare with an LFA modified by ZZ-CBM3 fusions (Fig. 10A).132 With the exception of the dilution test (ZZ-CBM3: capture antibody, not shown here), all other experiments involved first dispensing ZZ-CBM3 over the strips, followed by the addition of capture antibodies. In traditional NC membranes, controlling the orientation and accessibility of antibodies is challenging, as they can adopt various spatial positions after immobilization, resulting in less effective analyte capture. The study compared an NC membrane that physically adsorbed ZZ-CBM3 fusions with a strip coated with cellulose and chemically bound to ZZ-CBM3. By introducing a cellulose layer at the active test line of LFA strips, ZZ-CBM3 fusions could properly anchor and orient the capture antibodies (CBM binds to cellulose, ZZ captures antibodies via the Fc portion). To evaluate the impact of the cellulose layer on fluorescence signals, a control system (biotin–BSA![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) :
:![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) Alexa-streptavidin) was used. Biotin–BSA lines were dispensed on NC and NC + cellulose strips, and LFA cartridges were assembled. Buffer samples containing either 1 ng mL−1 or 2 ng mL−1 of Alexa-labeled streptavidin were then run. Results indicated that when cellulose was used as a coating, the fluorescence lines were generally thicker, more intense (Fig. 10B(i)), and displayed a larger pixel volume. This increased line thickness was attributed to enhanced lateral diffusion of the biotin–BSA solution on the cellulose layer, confirming that the cellulose coat effectively serves as an anchor point for ZZ-CBM3 fusions. Another experiment compared the capture ability of Alexa-labeled antibodies by protein A and ZZ-CBM3 fusions dispensed on LFA test lines (Fig. 10B(ii)). Protein A has five antibody-binding domains (A–E), while ZZ-CBM3 has two Z domains.31 The D and E domains of protein A have an affinity for the Fab region of antibodies, leading to partially random orientation of the capture antibodies. Consequently, the higher intensity observed with ZZ-CBM3 fusions in NC + cellulose strips, compared to protein A, can be attributed to the more favorable orientation provided by the ZZ domain in the fusion.
Alexa-streptavidin) was used. Biotin–BSA lines were dispensed on NC and NC + cellulose strips, and LFA cartridges were assembled. Buffer samples containing either 1 ng mL−1 or 2 ng mL−1 of Alexa-labeled streptavidin were then run. Results indicated that when cellulose was used as a coating, the fluorescence lines were generally thicker, more intense (Fig. 10B(i)), and displayed a larger pixel volume. This increased line thickness was attributed to enhanced lateral diffusion of the biotin–BSA solution on the cellulose layer, confirming that the cellulose coat effectively serves as an anchor point for ZZ-CBM3 fusions. Another experiment compared the capture ability of Alexa-labeled antibodies by protein A and ZZ-CBM3 fusions dispensed on LFA test lines (Fig. 10B(ii)). Protein A has five antibody-binding domains (A–E), while ZZ-CBM3 has two Z domains.31 The D and E domains of protein A have an affinity for the Fab region of antibodies, leading to partially random orientation of the capture antibodies. Consequently, the higher intensity observed with ZZ-CBM3 fusions in NC + cellulose strips, compared to protein A, can be attributed to the more favorable orientation provided by the ZZ domain in the fusion.
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| Fig. 10 (A) Comparison between traditional NC membranes and membranes coated with ZZ-CBM fusions in LFA. (B-i) Effect of cellulose coating on NC strips on the fluorescence intensity of generated signals. (B-ii) Comparative capture efficiency of Alexa-labeled antibodies by protein A and ZZ-CBM3 fusions on LFA test lines. Experiments utilized NC strips and NC strips with an added cellulose layer (NC + cel) on the test line. Reproduced with permission from ref. 132. | ||
Similarly, Kolmar and Schwall et al. developed genetic fusions of single-chain variable fragments (scFv) or full-length antibodies (IgG) with the CBM3a domain from the cellulosomal scaffold of Clostridium thermocellum. This approach significantly improved cellulose-binding capacity, leading to enhanced sensitivity and overall performance of cellulose-based lateral flow devices compared to those using bare scFvs or IgG (Fig. 11A).133 To verify the broad applicability of CBM-fused detection antibodies, they created pregnancy LFA devices using both CBM-anti-hCG scFv and solitary anti-hCG scFv. The CBM-assisted LFAs exhibited increased sensitivity compared to devices functionalized with the solitary scFv. In another set of experiments, LFAs were designed to detect SARS-CoV-2-specific antibodies using CBM-fused antibodies in two different setups (Fig. 11B). The first batch was functionalized with either CBM-anti-Fc scFv or solitary anti-Fc scFv. A second batch was functionalized with full-length IgG multiclonal antibody constructs, either anti-human IgG or the IgG-CBM fusion variant. The CBM-scFv-functionalized COVID-19 antibody test showed sensitive detection of 125 ng of SARS-CoV-2-specific antibody, and the strips functionalized with anti-hIgG-CBM demonstrated comparable sensitivity. In contrast, LFAs functionalized with solitary scFv and sole anti-hIgG showed faint test lines, barely discernible to the naked eye. This work underscores the significant advantages of using cellulose-based papers over nitrocellulose in serologic LFA devices.
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| Fig. 11 (A) Cellulose-based LFAs for hCG detection using cellulose paper with a capillary flow rate of approximately 60 s/4 cm (C60). Test lines were modified with either CBM-anti-hCG scFv or solitary anti-hCG scFv. (B) Cellulose-based LFAs for detecting SARS-CoV-2-specific antibodies in serum samples, with test lines coated with CBM-anti-Fc scFv, anti-hIgG-CBM, anti-Fc scFv, or anti-hIgG as detection antibodies. Reproduced with permission from ref. 133. | ||
In another example, a CBP31-BC linker was created by genetically fusing cellulose-binding modules from family 3 (CBM3) and family 1 (CBM1) with the antibody-binding B and C domains of protein A (Fig. 12A).128 Analysis showed that the addition of these CBMs resulted in high cellulose-binding capacity for CBP31-BC. This strong binding allowed the BC domain to be efficiently exposed, achieving about six times higher antibody-binding efficiency (∼32.5%) compared to the BC domain alone (∼5.5%). The effectiveness of the CBP31-BC linker in LFIA was evaluated by comparing it with conventional LFIAs that use physical adsorption of antibodies, using prostate-specific antigen (PSA) as the target analyte (Fig. 12B). The CBP31-BC-based LFIA detected PSA at levels as low as 0.25 ng mL−1 within 20 minutes, which is approximately 10 times more sensitive than conventional LFIAs. Additionally, the CBP31-BC-based LFIA demonstrated a lower detection range of 0.25–2.5 ng mL−1 compared to traditional methods. These findings highlight the significant advantage of using the CBP31-BC linker for the efficient and oriented immobilization of capture antibodies on cellulose membranes.
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| Fig. 12 (A) Schematic illustration of the paper-based LFA platform utilizing the CBP31-BC linker, an engineered protein that combines cellulose-binding modules with antibody-binding domains. (B) Photographic comparison of LFAs featuring the CBP31-BC fusion on the test line (left panel) versus conventional LFAs (right panel) at PSA concentrations of 0, 0.25, 0.5, 2.5, 5, 10, and 20 ng mL−1. The normalized test line intensities corresponding to these PSA concentrations are displayed below. Reproduced with permission from ref. 128. | ||
In 2023, Kim's group developed a colorimetric LFA platform for early SARS-CoV-2 detection using a bifunctional fusion linker, CBP31-BC.129 This linker combines cellulose-binding and antibody-binding domains to orient antibodies on a cellulose membrane. As shown in Fig. 13A, the test zone featured CBP31-BC preincubated with an anti-SARS-CoV-2 RBD antibody at the test line and CBP31-BC alone at the control line. The optimal molar ratio of CBP31-BC to the capture antibody was determined to be 1![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) :
:![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 20 to minimize nonspecific adsorption of the detection antibody on gold nanoparticles. The CBP31-BC-based LFA demonstrated high specificity for the SARS-CoV-2 antigen using S1 antigens from SARS-CoV, MERS-CoV, and CoV-H229E (Fig. 13B). The platform's practical capability was assessed with cultured SARS-CoV-2 samples, showing visual sensitivity and a LOD of 5 × 105 copies per mL (Fig. 13C). Additionally, the LFA's performance was confirmed using nasopharyngeal swab samples from COVID-19 patients (n = 16) and healthy subjects (n = 3), displaying high concordance with RT-qPCR results (Fig. 13D).
20 to minimize nonspecific adsorption of the detection antibody on gold nanoparticles. The CBP31-BC-based LFA demonstrated high specificity for the SARS-CoV-2 antigen using S1 antigens from SARS-CoV, MERS-CoV, and CoV-H229E (Fig. 13B). The platform's practical capability was assessed with cultured SARS-CoV-2 samples, showing visual sensitivity and a LOD of 5 × 105 copies per mL (Fig. 13C). Additionally, the LFA's performance was confirmed using nasopharyngeal swab samples from COVID-19 patients (n = 16) and healthy subjects (n = 3), displaying high concordance with RT-qPCR results (Fig. 13D).
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| Fig. 13 (A) Schematic of the CBP31-BC-based LFA for detecting SARS-CoV-2. (B) Normalized test line intensity of the LFIA for SARS-CoV-2 RBD, SARS-CoV S1, MERS-CoV S1, and CoV-H229E S1 antigens, with the dotted line indicating no sample. (C) Photographic images and normalized test line intensity of the LFA strip for various cultured SARS-CoV-2 concentrations, with the black dotted line indicating the cutoff value (mean of 3 blank samples + 3 standard deviations). (D) Comparison of LFA performance using nasopharyngeal swab samples from COVID-19 patients versus PCR results. Reproduced with permission from ref. 129. | ||
While the concept of “immobilization leads to well-orientation” is a major advantage promoted for CBM–cellulose fusion, practical challenges have emerged. A significant issue is the reduction in oriented immobilization caused by cross-reactivity between proteins. Biorecognition protein domains may bind to other antibody segments or react with non-target analytes, resulting in decreased sensitivity and selectivity.132,133 This cross-reactivity is particularly problematic when dealing with biological fluid samples, such as serum or urine, which contain numerous non-target proteins, leading to false negatives and false positives.129 To address these challenges, various solutions have been proposed, ranging from simple sample dilution to advanced antibody editing, which removes interfering segments using specific enzymes. Additionally, site-directed covalent protein–cellulose conjugation presents a promising solution.132 Besides, cellulose-based membranes face several challenges, including the spreading of fluorescence on test and control lines due to cellulose's high adsorption properties.129,130 Additionally, the inability to plot reliable quantitative calibration curves arises because the fused proteins often possess multiple binding sites.132 Another significant challenge is simplifying the biomolecular engineering processes involved. These issues remain to be resolved.
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| Fig. 14 (A) Schematic representation of a positive test line not modified (upper panel) and modified with cellulose nanofibers dispensed (bottom panel). Prof. Merkoçi's LFAs by introducing cellulose nanofiber. (B) Photographic images (up) of LFAs with and without the CNF applied on the test lines with HIgG of 0, 0.01, 0.05, 0.10, 0.25, 0.50, 0.75, and 1.00 μg ml−1. Bar chart (below) was made for the comparison of percentage of signal enhancement. Reproduced with permission from ref. 140. | ||
| Bond(s) type | Utilization | Advantage(s) | Limitation(s) reported | 
|---|---|---|---|
| Non-covalent | Physical adsorption | Simple operation | Unoriented immobilization35,38,39 | 
| Straightforward theory | |||
| Protein A, protein G | Oriented immobilization46–48 | Protein cross-activity21,31,49 | |
| Reversible reaction50,51 | |||
| Extra pretreatment | |||
| Biotin–(strept)avidin | Oriented immobilization60,61 | Protein cross-activity59 | |
| High B-SA binding ratio57 | Extra pretreatment | ||
| High condition-tolerance57 | |||
| Covalent | Amine, carboxyl group | Wide availability | Unoriented immobilization73 | 
| pH dependence66,74 | |||
| Extra pretreatment | |||
| Disulfide bond | Oriented immobilization75–79,82,83 | Conformational change80 | |
| Ab-AuNP aggregation80 | |||
| Extra pretreatment | |||
| Carbohydrate moiety | Oriented immobilization84–86,88–91 | Overoxidation87 | |
| Antibody cross-linking87 | |||
| Extra pretreatment | 
| Method | Medium | Device | Target | LOD | Sensitivity (in fold(s) of enhancement or %) | Ref. | 
|---|---|---|---|---|---|---|
| Probe modification | Protein A | LFA | Pathogen-specific antibodies | 300 ng mL−1 | 30 folds | 53 | 
| Protein G | Gold plate | Rabbit IgG | N/A | 11 folds | 55 | |
| BSA | LFA | SARS-CoV-2 | 0.65 ng mL−1 (Genemedi N protein) | N/A | 60 | |
| N-protein (Genemedi N and Genscript N protein) | 3.03 ng mL−1 (Genscript N protein) | |||||
| BSA | AuNS/SPCEs | Mouse monoclonal anti-SARS-CoV-2 | 6 pg mL−1 | 2.9 folds | 61 | |
| N-protein | ||||||
| Amine/carboxyl groups | LFA | SARS-CoV-2 | 6.9 ng mL−1 (RBD protein) | N/A | 68 | |
| RBD protein and N protein | 7.2 ng mL−1 (N protein) | |||||
| Amine/carboxy groups | LFA | Pathogen-specific antibodies | 1.07 pg mL−1 | N/A | 72 | |
| Disulfide bond | LFA | SARS-CoV-2 S1 antigen | 0.4 × 104 copies per ml | 97.14% (relative to 90.04% of unmodified device, Ct ≤ 30 (%)) | 83 | |
| Carbohydrate | LFA | N-terminal | 10 pg mL−1 | N/A | 90 | |
| Pro-B-type | ||||||
| Natriuretic peptide | ||||||
| Carbohydrate | Microarray | Lectins (RCA120, ConA, and WGA) | 3 pM (RCA120) 16 pM (ConA) 12 pM (WGA) | 2.2 × 103 folds 9.7 × 102 folds same | 91 | |
| T/C lines modification | Protein G | GICA | S. japonicum saposin protein | 1 ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) : ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 20 ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) 480 diluted sample | 95% (non-endemic group) | 98 | 
| 85% (KK (−) and F_ddPCR (−) group) | ||||||
| BSA | LFA | Salmonella | 1 × 10−13 M | N/A | 141 | |
| Nucleic acid | LFA | HIV-1 RNA | 10.5 ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) log10 copies (batch 1) | N/A | 109 | |
| 9.5 ![[thin space (1/6-em)]](https://www.rsc.org/images/entities/char_2009.gif) log10 copies (batch 2) | ||||||
| Hydrophobin | FICTS | Pathogen-specific antibodies | 0.06 ng mL−1 | 3 folds | 125 | |
| Membrane composition | Cellulose membrane | LFA | Cystatin C | N/A | Compatible with the clinical diagnostic range | 132 | 
| Cellulose membrane | LFA | SARS-CoV-2 specific antibodies | 125 ng per 150 μL | 4.6 folds | 133 | |
| Cellulose membrane | LFA | Pathogen-specific antibodies | 0.25 ng mL−1 | 10 folds more | 128 | |
| Cellulose membrane | LFA | Inactivated SARS-CoV-2 and RBD protein | 0.63 ng mL−1 (RBD protein) | N/A | 129 | |
| 5 × 104 copies per mL (inactivated SARS-CoV-2) | ||||||
| Cellulose nanofiber T/C lines | LFs | Human IgG | 0.01 μg mL−1 | 36.6% signal enhancement | 140 | 
In addition to the conventional and novel immobilization techniques discussed, the methods for attaching, depositing, or coating capture probes onto T/C lines are often overlooked. The spraying process relies on passive bond formation, including hydrophobic interactions and electrostatic attraction, leading to random immobilization.123,124 This review aims to address and improve this random immobilization. If the detection lines themselves are not properly oriented in their compositions, the subsequent layers of capture and recognition probes will also lack proper orientation.
In conclusion, despite the numerous techniques developed thus far, none have fully achieved the ideal POC standards. LFAs still have significant room for improvement in both sensitivity and selectivity. Additionally, cost and global availability are crucial factors that need attention to reduce economic and personnel burdens. Therefore, advancements in chemical engineering, fusion techniques, and biomolecular exploration are areas where further efforts and research are needed.
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