Lucas R. Sousaab,
Larissa G. Velascoa,
Sandra G. Vlachovskyb,
Federico Figueredo
b,
Eduardo Cortón
b and
Wendell K. T. Coltro
*ac
aInstituto de Química, Universidade Federal de Goiás, 74690-900, Goiânia, GO, Brazil. E-mail: wendell@ufg.br
bDepartamento de Química Biológica e IQUIBICEN−CONICET, Facultad de Ciencias Exactas y Naturales, Universidad de Buenos Aires (UBA), CABA, Argentina
cInstituto Nacional de Ciência e Tecnologia de Bioanalítica, 13084-971, Campinas, SP, Brazil
First published on 26th March 2026
Microfluidic paper-based analytical devices (µPADs) have evolved significantly over the last few decades, from simple colorimetric strips to multifunctional lab-on-a-chip systems. This review focuses on advances in µPAD development, with particular emphasis on their application in salivary diagnostics. It covers the fundamental aspects of these devices, including their fabrication methods, detection strategies (with emphasis on colorimetry and electrochemistry), key biomarkers under investigation, and current challenges. Saliva has emerged as a promising diagnostic fluid due to its non-invasive collection, low risk, and diverse biochemical content, including proteins, enzymes, hormones, and nucleic acids. Salivary diagnostics on µPADs are closely aligned with the WHO's ASSURED criteria, making them highly promising for primary care and resource-limited settings. While some salivary biomarkers are clinically established, many remain understudied and require more accurate screening and comparison with conventional diagnostic methods. Our review also highlights how the remaining challenges, such as biomarker variability, integration of sample pretreatment steps, and interference from biological components, are being resolved by the scientific community. In doing so, we present the state-of-the-art and ongoing advances that are essential to establish µPADs as accessible and effective tools in global public health.
In humans, 1200 to 1500 mL of saliva is produced every day.2 The secretion of saliva (salivation) is mediated by parasympathetic stimulation; acetylcholine is the active neurotransmitter and binds to muscarinic receptors in the glands, leading to increased salivation.6 At the level of the mouth, the saliva produced by all the salivary glands mixes and is combined with different secretions that may be produced by damaged tissue and inflammatory processes occurring at different levels, particularly involving the periodontal tissue. The composition of this complex mixture may be related to various health conditions, so its careful analysis may provide relevant clues about not only oral but also systemic conditions, serving as a strong complement to the analysis of other body fluids.4,6–9
The diagnostic potential of saliva may be relevant due to its non-invasive collection method and comprehensive representation of the body's physiological state. Unlike blood, which requires a needle puncture, saliva can be collected easily, without discomfort, making it a patient-friendly option for frequent monitoring. Additionally, saliva contains biomarkers that reflect both local oral and systemic health conditions, such as hormones, antibodies, nucleic acids, and various metabolites.11,12
Salivary diagnostic capabilities extend to the detection of infectious diseases, autoimmune disorders, and even cancers. For instance, the presence of specific viral RNA in saliva can indicate infections such as COVID-19, while elevated levels of certain proteins might signal autoimmune conditions such as Sjögren's syndrome.13 Salivary diagnostics can also play a crucial role in monitoring metabolic disorders, as changes in the composition of saliva can reflect alterations in the body's metabolic processes.14,15
Analysis of saliva can provide insights into an individual's hormone levels, stress markers, and drug consumption, making it a versatile medium for health monitoring. Its potential to reveal systemic conditions by detecting specific biomarkers underscores its value as a diagnostic tool, complementing traditional methods and providing a broader picture of an individual's health.16
While saliva diagnostics hold great promise, some challenges need to be addressed to enhance their effectiveness: the main problems are the very low concentrations of potential analytes, the secretion volume and composition related to food or other stimuli, and the need to standardize collection and conservation methods.
The concept of µPADs emerged from the need for affordable, accessible diagnostic tools for use in resource-limited settings. The development of µPADs was influenced by the principles of microfluidics, which involve precise control and manipulation of fluids at the microscale. Early prototypes of paper-based devices demonstrated the feasibility of using paper to create fluidic pathways, thereby establishing PADs as a distinct technology within the broader field of microfluidics.19–21
The design of µPADs involves creating channels and zones on paper through which fluids can flow and react with specific chemicals impregnated into a cellulosic surface. These designs can be achieved through various methods, such as wax printing,22 inkjet printing,23 cutting,24,25 and photolithography.26 Each method has its advantages and limitations, but wax printing is particularly popular due to its simplicity and cost-effectiveness.
Paper substrates used in the development of µPADs are typically treated to enhance their fluid-handling properties and support the adhesion of reagents. Hydrophobic barriers are usually used to define channels through which fluids can flow, while hydrophilic regions promote fluid transport and reaction. The choice of paper, barrier materials, and fabrication techniques all contribute to the functionality and performance of µPADs.27,28
In general, µPADs have demonstrated significant potential in the field of diagnostics, providing a platform for rapid, accurate, and cost-effective detection of various health conditions. Their applications span across, but are not limited to, infectious disease detection, where µPADs can be used to detect pathogens such as bacteria, viruses, and fungi in bodily fluids.29,30 For instance, during the COVID-19 pandemic, μPADs were developed to detect viral RNA in saliva, offering a non-invasive and rapid diagnostic tool that could be used outside traditional laboratory settings.31
Other applications may include the diagnosis of metabolic disorders (e.g., diabetes) by following glucose, ketone bodies, and/or other metabolites, and the detection of biomarkers related to autoimmune or cancer diseases by measuring minute amounts of specific proteins, nucleic acids, or antibodies.16,18,32
POC technologies have revolutionized diagnostics by providing immediate results at the point of patient care. These technologies offer a convenient, rapid, and cost-effective approach to disease detection, monitoring, and management.4,32 POC diagnostics are designed for use in various settings, including hospitals, clinics, and even remote locations, making healthcare more accessible and efficient. The development of innovative diagnostic tools, such as µPADs, has further enhanced the capabilities of POC technologies.10
One of the most significant advantages of µPADs is their suitability for POC technologies, allowing immediate testing and results at the point of patient care, bypassing the need for centralized laboratories and long wait times. μPADs can be integrated into POC systems to provide rapid diagnostic results, which are essential for timely medical decision-making and treatment.33
Paper-based devices represent a transformative advancement in diagnostic technology, offering a low-cost, portable, and efficient means of detecting a variety of health conditions. Their potential to revolutionize POC diagnostics and deliver accessible healthcare solutions across diverse settings underscores their importance in the future of medical science.34 As research and technology continue to evolve, µPADs are poised to become an integral part of the global healthcare landscape, enabling rapid and accurate diagnostics that can save lives and improve health outcomes worldwide. Future research and development should focus on addressing current limitations and expanding µPAD capabilities. Innovations in material science, microfluidic design, and data integration will drive the evolution of paper-based platforms, making them more robust and versatile for a wide range of diagnostic applications.33
Based on this scenario, this review presents an updated and comprehensive overview of the role of saliva as a diagnostic fluid, with a focus on its integration into paper-based microfluidic devices. Considering the evolutionary, physiological, and biochemical significance of saliva, this review explores how its complex composition can reflect both local and systemic health conditions. By analyzing current advances in µPAD technology and its synergy with POC diagnostic approaches, we aim to highlight the potential of these innovative tools for facilitating accessible, non-invasive, and cost-effective health monitoring. Special attention is given to recent advances in µPAD fabrication and detection approaches coupled with salivary diagnostics.
Despite the well-established diagnostic relevance of saliva, its routine clinical application still relies largely on centralized laboratory techniques such as enzyme-linked immunosorbent assays (ELISA), high-performance liquid chromatography (HPLC), liquid chromatography–mass spectrometry (LC–MS/MS), and reverse transcription polymerase chain reaction (RT-PCR) analyses.2,9,16 While these methods provide high analytical sensitivity and specificity, they require sophisticated instrumentation, trained personnel, controlled laboratory environments, and multi-step sample preparation, often associated with increased cost and turnaround time. As a result, a disconnect persists between the non-invasive nature of saliva as a diagnostic fluid and its practical implementation in point-of-care settings.
In parallel, significant advances have been achieved in the development of paper-based platforms for salivary diagnostics. However, the field remains heterogeneous, encompassing diverse fabrication strategies, detection modalities, and levels of clinical validation, making it unclear how current efforts converge toward robust and scalable solutions. This review addresses this need by providing a critical summary of the integration between salivary diagnostics and microfluidic paper-based analytical devices (µPADs), examining technological progress alongside analytical performance, validation status, and translational prospects.
An innovative report on the use of this substrate as an analytical device was published in 2007 when the group of George M. Whitesides introduced the first example of a μPAD.37 In this remarkable report, the authors used standard photolithography to create microchannels delimited by hydrophobic barriers, allowing spontaneous fluid flow transport without bombs or mechanical systems. This pioneering work established μPADs and PADs as innovative platforms for POC clinical diagnostics, initially focused on blood sample analysis.
Since then, μPADs have emerged as ingenious systems capable of manipulating small volumes of liquid by capillary action, eliminating the need for pumps or external power sources. These devices enable localized chemical reactions and efficient transport of samples and reagents, enabling integration with conventional bioanalytical techniques, such as extraction/separation processes, purification methods, and various detection strategies.38 Although colorimetry remains the most commonly used detection technique coupled with these devices, electrochemical protocols, fluorescence applications, and even paper spray ionization coupled with mass spectrometry have expanded the application possibilities and analytical sensitivity.18
Initially used for the detection of biomarkers in blood,39 μPADs soon showed potential for other biological matrices. In particular, saliva stood out as a promising sample due to its non-invasive collection and the relevant diagnostic information it contains. Blicharz et al. and Nagler were among the pioneers in the use of paper strips for colorimetric testing of saliva, focusing on biomarkers such as nitrite and uric acid, particularly in clinical settings, including patients with end-stage renal disease.9,40 These studies demonstrated the feasibility of simple and affordable devices for non-invasive monitoring of biomarkers in saliva. Their report, although not presented in the context of μPADs, was a milestone for the development of PADs for saliva analysis in subsequent studies.
Since then, several studies have expanded the scope of saliva analysis using μPADs, enabling practical, accessible monitoring of infectious, metabolic, and even neurological diseases.41 In addition to human health, μPADs have been widely explored in other fields such as environmental monitoring,42 petrochemistry,43 forensic science,44 and food quality control45 due to their simplicity, low cost, and portability.
As shown in Fig. 1, the process for establishing a protocol for saliva analysis and diagnosis involves several key steps, including the selection of the target analyte, the detection method, and the most appropriate paper type for optimal resolution. Saliva is a particularly suitable biological fluid for μPAD applications due to its physicochemical properties, particularly its viscosity, which ranges from approximately 1.0 to 3.0 mPa s, depending on hydration and stimulation conditions. This is close to the viscosity of water (approximately 0.89 mPa s at 25 °C) and allows predictable and uniform capillary flow in porous substrates.46 As a result, saliva is compatible with virtually all existing μPAD fabrication techniques, including both high- and low-resolution patterning methods. As a result, the choice of fabrication strategy for saliva-based diagnostics is often determined not by fluid compatibility, but by other practical considerations such as production cost, equipment availability and suitability for use in remote or resource-limited settings.
Despite the diversity of fabrication approaches, batch-to-batch variability remains a non-negligible issue. Differences in paper porosity, fiber distribution, surface treatments, and manual reagent deposition can lead to fluctuations in capillary flow rates and analytical responses. Such variability becomes particularly critical when quantitative readouts are required, highlighting the need for standardized manufacturing workflows and quality control protocols. In response to these issues, the choice of the substrate type is critical for constructing an effective salivary sensor and should be the first consideration when accounting for the requirements of the detection technique and the analytical steps involved.
There are several types of paper used in the fabrication of μPADs, each with specific properties that directly influence the performance of diagnostic tests. The most commonly used papers for the manufacture of paper-based analytical devices include chromatography paper,50–52 office paper,53,54 qualitative filter paper,41 vegetal paper,55 absorbent paper and nitrocellulose membranes.56,57 Fig. 2 presents key examples from the literature of different μPAD formats developed on various paper types, all applied to saliva analysis. Chromatography paper and filter paper were the first paper substrates chosen for saliva analysis. Chromatographic paper-particularly Whatman® Grade 1-is widely used because of its uniform porosity, good reagent retention capacity and consistent capillary flow. Chromatography paper provides excellent resolution for separations and is ideal for assays involving multiple reaction zones.58 Office paper has been explored as an inexpensive and widely available alternative, particularly in applications where high precision in liquid flow is not required. Absorbent paper is often used in lateral flow assays due to its high liquid absorption capacity and ability to hold large volumes of sample.54 Nitrocellulose membranes, on the other hand, are particularly valued in immunoassays for their strong protein-binding properties and fast capillary action. The correct choice of paper type is important to ensure the sensitivity, selectivity and reproducibility of paper-based instruments, particularly in clinical diagnostic applications.19,59,60
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| Fig. 2 Representation of different paper-based analytical devices using chromatographic paper (A), nitrocellulose (B), absorbent paper (C), qualitative filter paper (D), office paper (E), and a combination of chromatographic paper (top side) and parchment paper (bottom side) (F) for the construction of sensors for clinical analysis in saliva samples. Images A, B, C, D, E and F were reprinted with permission from the references Bhakta et al.,61 Kim and Kim,66 Ramdzan et al.,191 Noiphung et al.,100 Gutiérrez-Gálvez et al.69 and Sousa et al.,55 respectively. | ||
Although paper selection is often guided by analytical compatibility, limited reporting on inter-lot reproducibility and long-term storage stability of functionalized substrates still represents a gap in the literature. In clinical settings, even minor variations in wicking speed or protein-binding capacity may compromise quantitative accuracy and comparability between devices.
In the context of salivary diagnostics, papers with high absorption capacity and controlled porosity are preferred to ensure efficient sample transport and interaction with reagents. One of the pioneering works using μPADs for salivary diagnostics was performed by Bhaktha et al., who developed a colorimetric device for nitrite detection in saliva, as shown in Fig. 2A. In their study, the authors used Whatman Grade 1 chromatographic paper, chosen for its favorable wicking properties and compatibility with the colorimetric detection method based on a modified Griess reaction. The devices were designed to quantify nitrite levels, a potential marker for periodontitis, and demonstrated sensitivity and limits of detection (LOD) suitable for real sample analysis.61
However, for examples of applications requiring specific biomolecular interactions, such as immunoassays, nitrocellulose membranes are often preferred. While nitrocellulose is more porous than chromatographic paper due to its three-dimensional fibrous network and high adsorption capacity (especially for proteins and nucleic acids), it is less permeable to capillary flow due to its smaller pore size and denser structure.62,63 This difference in permeability has a direct impact on instrument design and assay performance, especially when controlling flow rate and maximizing reaction time are critical.64
This effect often dictates the use of nitrocellulose instead of chromatographic paper, especially for immunoassays. For example, Choi et al. developed a lateral flow immunoassay (LFA) using a photoluminescent film for the detection of salivary cortisol.65 This assay achieved high sensitivity through smartphone-based photoluminescence detection and machine-learning algorithms for data analysis, providing accurate cortisol measurements in human saliva samples without the need for an external light source.
Similarly, Kim and Kim proposed an automatic signal-enhanced lateral flow immunoassay (asLFI), represented in Fig. 2B, that significantly improved colorimetric sensitivity for cortisol detection in saliva, achieving a LOD of 3.8 pg mL−1 with strong correlation to ELISA results.66 Therefore, nitrocellulose remains the standard material for LFA and is still widely used in saliva-based diagnostics due to its high protein-binding capacity, which enables reliable immobilization of antibodies and antigens. These properties are critical in immunodiagnostics, where specific antigen–antibody interactions must occur in confined zones without dispersion.67
Qualitative filter paper, with its high porosity, allows for the separation of solids from saliva, while absorbent paper facilitates the collection and distribution of liquids, which is essential for the controlled movement of samples in microfluidic devices. Although not as widely reported as chromatographic paper, the value of these materials lies in their ability to significantly reduce the final cost of the device. Fig. 2C and D illustrate examples of salivary analysis devices using absorbent paper and viscosity control using qualitative filter paper, respectively.68
Office paper has also been used as a viable option for saliva analysis because its properties are similar to those of chromatographic paper, but with lower hydrophilicity, allowing substances to accumulate more easily on its surface. Gutiérrez-Gálvez et al. explored this concept by integrating an office paper-based collector into an N95 mask for detecting SARS-CoV-2 spike proteins in exhaled breath, as shown in Fig. 2E.69 The approach, using a magnetic bead-based electrochemical immunosensor, demonstrated high sensitivity and selectivity, enabling accurate biomarker detection without the need for chemical reagents. This study highlights the potential of paper as a collecting material, showcasing its application in rapid and accessible diagnostic tools for respiratory diseases.
An alternative way of combining the advantages of different types of paper was reported by Sousa et al., who described a manual fabrication protocol for a colorimetric module that achieved higher resolution on chromatographic paper.55 This was combined with parchment paper on which conductive paths were defined using a screen-printing technique. Fig. 2F shows the final device, in which the two modules were integrated using a photocurable resin.
Functionalization of nanoparticles, especially with gold or silver nanoparticles, has been shown to enhance colorimetric detection, improving the sensitivity of electrochemical and colorimetric detection and even enabling enzyme-free assays.73,74 Gold nanoparticles (AuNPs) have been employed as peroxidase-like nanozymes to facilitate glucose monitoring in paper-based devices, providing rapid and reliable colorimetric readouts.74
Although still recent, oxidative treatments using sodium periodate have also been reported to introduce aldehyde groups on the cellulose surface, allowing subsequent covalent coupling of antibodies and other biorecognition elements for increased assay stability and selectivity. In addition, plasma treatment remains a versatile method for increasing surface energy and improving wettability, and is often used as a pretreatment step to facilitate further functionalization.75 These surface strategies are particularly valuable in saliva-based diagnostics, where low analyte concentrations and matrix interferences require enhanced selectivity, strong analyte retention and controlled microfluidic behavior to ensure accurate and reproducible results.
However, many surface modification strategies, particularly those involving nanoparticles or enzyme immobilization, may compromise long-term stability under non-controlled storage conditions. Humidity, oxidation, and gradual loss of bioactivity can significantly reduce shelf-life, which remains insufficiently addressed in most proof-of-concept studies. Therefore, future developments should prioritize stabilization strategies, such as protective coatings, incorporation of stabilizing agents, optimized packaging, and systematic shelf-life validation, to ensure practical applicability and real-world robustness of surface-modified µPADs.
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| Fig. 3 Representative examples of the fabrication techniques for the microfluidic paper-based analytical devices (μPADs) used in salivary analysis. (A) Wax printing: hydrophobic barriers formed by wax deposition and melting onto paper substrates. (B-i) Manual paper cutting using craft tools for defining the microfluidic zones and (B-ii) laser cutting and engraving for precise micro-structuring of the paper to enhance fluidic control and create complex channels. (C) Combination of manual drawing with a 3D pen to define the hydrophobic zones and screen-printing with carbon-based ink to form conductive electrodes for dual-mode detection. (D-i) Photolithographic fabrication using UV light and photoresist-coated paper to generate high-resolution microfluidic patterns and (D-ii) wax dipping technique, where molten wax is transferred to the paper using a laser-cut mold to rapidly form the hydrophobic barriers. Images A, B, C, and D were reprinted, with permission, from Rossini et al.,188 de Castro et al.,71 Pomili et al.,85 Klasner et al.,92 Songjaroen et al.,76 and Sousa et al.,55 respectively. | ||
As a result, other manufacturing methods associated with printing have gained popularity and can be explored through saliva analysis. Laser printing, which offers precise control over material deposition, allows the direct modification of paper to create efficient hydrophobic barriers.54,77,78
Inkjet printing, which uses commercial or custom-formulated inks to create patterns on paper, is versatile and widely available.23 Beyond defining hydrophobic barriers, inkjet technology enables the precise deposition of bio-inks containing enzymes, antibodies, nanoparticles, or redox mediators directly onto specific detection zones. This digital and mask-free approach allows controlled reagent loading, reduced material consumption, and improved spatial resolution. Recent advances in printable bio-ink formulations have enhanced biomolecule stability and minimized nozzle clogging, thereby improving reproducibility and scalability in µPAD fabrication.79–82
Liang et al. demonstrated, for example, a low-cost reagent spraying method using a modified commercial inkjet printer for AST and ALT assays, highlighting scalability and reproducibility. Advances in inkjet-based bioprinting have deepened the understanding of bio-ink formulation, droplet dynamics, shear-induced stress, and substrate–droplet interactions.82 Optimization of cell or biomolecule homogeneity and droplet impact behavior plays a critical role in ensuring uniform deposition and functional stability. Although primarily developed for tissue engineering, these insights are directly applicable to µPAD fabrication, where reagent distribution homogeneity and deposition precision strongly influence analytical reproducibility and device performance.82
3D plotting printers, although still in their infancy, can print functional materials or structural elements onto paper substrates to create more complex, three-dimensional devices.23,83 Espinosa et al. demonstrated this approach by integrating 3D printing with wax filaments to fabricate hydrophobic channels on paper substrates.83
One of the most recent printing strategies is thermal transfer printing, which uses heat to transfer ink from a ribbon to a paper substrate and is commonly used to create precise patterns and designs. It has been explored for the creation of hydrophobic barriers in paper-based assays, as shown by Monju et al., with recent advances in the use of this technique for improved pattern fidelity and device performance.84 Each of these printing methods offers unique advantages, making them valuable for the fabrication of PADs, including applications in salivary diagnostics.
Craft cutter-based patterning, such as that performed using the Silhouette Studio platform, remains a relevant and accessible approach for the development of paper-based microfluidic devices, especially in resource-limited settings.86 These manually patterned devices include distinct detection zones connected by microfluidic channels and have been successfully validated with real human saliva samples, showing results comparable to those of spectrophotometric analysis.
Beyond conventional engraving, laser ablation enables more refined microstructural control over paper substrates. By adjusting the laser wavelength and power, it is possible to not only define channel geometry but also locally tune paper thickness, porosity, and surface chemistry, thereby influencing capillary pressure and fluid transport. Recent studies have demonstrated that controlled laser processing can modify the cellulose network while preserving mechanical integrity, directly impacting wicking behavior and sensing performance.27,31,88 For example, Zhao et al. reported laser-induced surface functionalization that enhanced chemical reactivity and fluid manipulation in paper-based platforms. Such advances illustrate how laser-ablated microstructures extend beyond shaping techniques to become powerful tools for enhanced fluidic regulation in µPADs.88
Manual drawing represents an accessible and low-cost method for fabricating paper-based microfluidic devices, where hydrophobic barriers and functional zones are created directly on paper substrates using pens or markers. A remarkable example is the use of a 3D pen, as reported by Sousa et al., who demonstrated the feasibility of creating μPADs by manually drawing patterns with an acrylate-based resin followed by UV curing. Despite its simplicity, the technique proved effective for both clinical and environmental applications, including salivary diagnostics. The instrument-free nature and affordability of this method make it especially attractive for rapid prototyping and implementation in any place.55 A representation of manual drawing combined with screen-printing protocol is shown in Fig. 3C.
By combining manual drawing techniques with screen-printing approaches, the authors demonstrated a versatile “do-it-yourself” (DIY) protocol for the fabrication of dual-detection paper-based analytical devices (dual-μPADs). Using a 3D pen to draw hydrophobic barriers and a stencil-printing method with carbon-based ink to produce conductive electrodes, the authors successfully developed μPADs capable of simultaneous colorimetric and electrochemical detection. This strategy enabled analysis of salivary biomarkers such as nitrite, lactate, pH, and α-amylase without the need for sophisticated instrumentation, reinforcing the potential of low-cost fabrication methods for point-of-care diagnostics, especially in periodontal disease screening.55
Klasner et al. demonstrated the fabrication of µPADs using photolithography, where devices were fabricated in under 3 min and were immediately ready for use in colorimetric assays for urinary ketones, glucose, and salivary nitrite (see Fig. 3D-i).92 These devices provided semi-quantitative results for clinically relevant biological assays, proving the potential of photolithography for fast and accessible diagnostic applications. However, the high cost of this technique and its high material, skilled labor and cleanroom requirements have made it unattractive for point-of-care diagnostics. Although photolithography-based device models should be considered for the advancement of other types of manufacturing methods, the technique has not been used for its purpose in µPADs and diagnostics, including saliva.
Wax dipping, a simple and cost-effective technique, involves immersing paper substrates into molten wax to create hydrophobic barriers. This method has gained popularity in the fabrication of μPADs due to its affordability and ease of implementation.76 Songjaroen et al. introduced a novel wax-dipping approach for producing μPADs utilizing an iron mold created via laser cutting to transfer patterns onto the paper (see Fig. 3D-ii). The process is quick, requiring only 1 min to be concluded without the need for complicated instruments or organic solvents. The hydrophobic barriers created via this method have been shown to effectively support clinical diagnostic applications, including glucose and protein detection.76
![]() | (1) |
This equation highlights the inverse relationship between viscosity and flow rate in porous substrates, an important consideration when working with biological fluids.97–99 In the case of saliva, its non-Newtonian nature and higher viscosity, resulting from proteins such as mucins and other macromolecules naturally present in its composition, can reduce the rate and uniformity of fluid migration across the paper matrix.100 Such behavior requires careful adjustment of design parameters such as paper thickness, pore size, and channel geometry. For instance, thicker papers or those with tightly packed fibers increase hydraulic resistance, as can be described by Darcy's law, represented in eqn (2) as follows:
![]() | (2) |
One approach to overcome the possible effects of salivary viscosity on paper devices is appropriate sample treatment. Several studies have reported the use of filter paper to enable self-sampling and sample pre-treatment of saliva, taking advantage of its intrinsic filtration properties.99 However, other approaches describe the use of alternative filtration materials to minimize biofouling effects.96
An effective approach to circumvent the effects of saliva viscosity in paper-based devices was proposed by Noiphung et al.100 In their study, the authors demonstrated that the addition of a simple buffer washing step after sample application allows the analytical response to be stabilized in colorimetric assays for pH and nitrite, regardless of the initial viscosity of the fluid.100 This strategy enables consistent and reproducible calibration curves to be obtained even in samples with artificial viscosity ranging from 1.54 to 5.10 mPa s, bringing the performance of the μPAD closer to that of standard methods, without the need for complex treatments or dilutions. In addition to controlling the matrix itself, adjustments in channel width can also optimize flow dynamics. Wider channels facilitate the movement of viscous samples such as saliva, while narrower ones enhance capillary action for low-viscosity fluids.49 Additionally, gradual tapering or expansion of channels can be used strategically to regulate flow and improve reagent interaction zones.
Beyond intrinsic viscosity differences, pre-analytical variables associated with saliva collection, such as stimulated versus unstimulated saliva, circadian variations, hydration status, and recent food intake, can significantly modify both the viscosity and surface interaction properties of the sample. These variations directly impact the parameters described in the Lucas–Washburn and Darcy models, altering capillary flow distance and volumetric flow rate within the μPAD channels.101,102 Consequently, inconsistencies in sample collection may translate into variations in fluid migration kinetics, reagent interaction time, and ultimately analytical signal intensity. Therefore, standardization of saliva collection protocols and incorporation of design strategies that compensate for matrix variability are essential to ensure reproducibility and reliable clinical performance of saliva-based μPADs.
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| Fig. 4 (A) Schematic of a μPAD with integrated valves for distance-based glucose detection. (B) Illustration of the electroosmotic pumping valve (EOPV). The exploded view shows the layered assembly: (a) PCB with electrodes and a superhydrophobic surface, porous paper pads connected to the reservoir and detection zone, and a silicone seal forming the hydrophobic gap. Panels (b–f) depict the key operational stages of the valve: (b) valve in the closed state due to Laplace pressure; (c) initial electroosmotic activation; (d) formation of a liquid bridge between the pads; (e) “dosing mode” with intermittent flow; and (f) “continuous mode” enabled by a stable liquid bridge and sustained electroosmotic flow. Reprinted from Chen et al.106 and Rofman et al.,109 respectively, with permission. | ||
Jiang et al. developed a simple and portable technique for the fabrication of μPADs with fluid control based on wettability modulation, using a manual corona generator. The strategy involves modifying the paper surface with octadecyltrichlorosilane (OTS) to render it hydrophobic, followed by selective exposure to a corona discharge through a mask to locally restore hydrophobicity in the desired areas.108 This method allowed the development of an ‘on-valve’, which is punctually activated by the corona to control the onset of fluid movement in the device. The viability of the system was demonstrated in colorimetric assays for the detection of nitrite in real saliva samples. More advanced technologies have also been proposed, such as electro-osmotic valves combined with hydrophobic barriers, capable of performing protocols such as LAMP directly on raw saliva samples with temperature and flow control via PCBs, as shown in Fig. 4B. A programmable mechanical valve array was also proposed by Rofman et al.,109 which allows parallel and multiplexed control of up to 16 channels in the same device, and was successfully applied to the quantification of glucose in artificial saliva.
Colorimetric measurements have been successfully applied to the detection of a broad range of salivary biomarkers. Metabolic markers, such as glucose,85,111 cholesterol,85 lactate,55,85 calcium,112 and magnesium,113 have been effectively measured using this technique. Electrolytes and enzymatic biomarkers, including nitrite,61,114 α-amylase,55,91,115 urease,116 thiocyanide87 and uric acid,117 have also been targeted. Furthermore, salivary detection of hormonal and immunological markers, such as cortisol,118 interleukins,119 and alpha-fetoprotein,80 demonstrates the versatility of colorimetric methods. In addition to biomarker detection, colorimetry has been used to identify disease-specific targets, including monkeypox,115 SARS-CoV-2,14,120 and Influenza A and B.121 It has also shown potential in forensic applications, such as the detection of ethanol and phytocannabinoids in saliva.122
The reaction mechanisms on which the colorimetric detection is based can be divided into enzymatic and non-enzymatic processes. As depicted in Fig. 5, both enzymatic and non-enzymatic detection strategies have been applied in µPADs for salivary analysis. Enzymatic reactions are especially popular due to their high specificity and their capacity to produce detectable products or by-products that interact with chromogenic indicators.6,93 A well-known application is the colorimetric detection of glucose using glucose oxidase (Gox), which catalyzes the oxidation of glucose to gluconic acid, producing hydrogen peroxide (H2O2) as a by-product (see Fig. 5A and B). In the presence of peroxidase, H2O2 reacts with a chromogenic substrate, such as potassium iodide, to form a colored compound that serves as a visible indicator of glucose concentration. The reaction mechanisms underlying colorimetric detection can be broadly categorized into enzymatic and non-enzymatic processes.111
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| Fig. 5 Examples from literature illustrating the enzymatic (left column) and non-enzymatic (right column) detection protocols using PADs. Panel (A) presents a general schematic of enzymatic detection mechanisms, with a focus on glucose oxidase (GOx)-based strategies, as exemplified in (B). Panel (C) shows the application of a similar enzymatic principle within a flow-injection analysis (FIA) system for the detection of cortisol. On the non-enzymatic side, a wide range of target analytes can be detected. Panel (D) depicts a representative approach for nitrite detection, one of the most well-established inorganic assays in salivary PADs, while panel (E) illustrates a dual-detection device developed for the analysis of thiocyanate. Reprinted from Scarsi et al.,118 Gölcez et al.,111 Pomili et al.,85 Chanu et al.,114 and Pungjunun et al.,87 respectively, with permission. | ||
Pomili et al. demonstrated the use of oxidase enzymes, such as glucose oxidase, lactate oxidase and cholesterol oxidase, which generate hydrogen peroxide (H2O2) as a by-product, in combination with plasmonic multibranched gold nanoparticles. These nanoparticles exhibited a distinct color shift from blue to pink in response to H2O2, enabling sensitive colorimetric detection.85 Interestingly, the same nanoparticles were also used in a non-enzymatic colorimetric assay for the detection of cortisol, highlighting their versatility, as illustrated in Fig. 5C.118 Another strategy is the targeting of enzymes naturally present in saliva. Silva-Neto et al. reported a protocol to quantify α-amylase activity by monitoring the formation of a dark starch–iodine complex catalyzed by the enzyme.91 Similarly, Ferreira et al. measured urease activity by the color change of bromothymol blue triggered by the release of ammonia during urea hydrolysis by endogenous urease.116 These approaches need to account for variability in enzyme concentration in different saliva conditions, which can affect signal intensity and lead to inconsistent interpretation of results in point-of-care diagnostics. A classic example is the colorimetric detection of glucose using glucose oxidase, which can produce different results in fasting or postprandial states.
Non-enzymatic reactions, while generally less specific for certain clinical screenings, remain highly relevant in colorimetric salivary analysis due to their simplicity and broad applicability. Unlike enzymatic methods, which often rely on specific biological interactions, non-enzymatic detection can target analytes that occur naturally in saliva, are introduced through toxic exposure, or result from metabolic processes intrinsic to the host or associated pathogens. A representative example is ethanol detection, as reported by Srisomwat et al., where acidified potassium dichromate acts as an oxidizing agent, converting ethanol into acetic acid while being reduced to chromium(III) ions (Cr3+), which produce a characteristic greenish-brown color.123
Among non-enzymatic mechanisms, complexation reactions stand out for their operational simplicity and ability to form stable, colored products. Notable examples include the Griess reaction for nitrite detection (see Fig. 5D),110,114 calcium complexation with methylthymol blue (MTB)124 or cresolphthalein,112 the reaction between eriochrome cyanine and magnesium,113 and the use of Fast Blue B Salt (FBBS) for detecting THC.123 Despite their advantages, the lower specificity of non-enzymatic approaches can pose challenges in clinical contexts, particularly when selectivity is essential for accurate diagnosis. Other relevant ions in saliva, such as thiocyanate and iron, have also been successfully detected through complexation reactions. Thiocyanate reacts with ferric ions (Fe3+) to form the reddish-brown [FeSCN]2+ complex, a widely used reaction for colorimetric detection in saliva, as represented in Fig. 5E,87 while iron itself can be quantified using chromogenic ligands, such as 1,10-phenanthroline, which forms an orange-red complex with Fe2+.
Colorimetric detection offers multiple strategies for signal readout, each with distinct advantages and limitations depending on the context of the application. The most basic method is visual inspection, a long-standing technique that requires no instrumentation, making it ideal for low-cost, rapid, and user-friendly testing—especially in POC scenarios.125 This approach is particularly suited for qualitative or semi-quantitative assessments, including binary (positive/negative) tests, such as those used for SARS-CoV-2 spike protein detection.126 Visual readouts are also commonly employed in lateral flow assays, where the presence of a target analyte is indicated by a colored line in the test zone,121 as demonstrated in multiplexed tests for SARS-CoV-2 and influenza viruses.121
To enhance the precision and reproducibility of color interpretation, visual detection has often been complemented or replaced with digital image colorimetry (DIC). DIC involves capturing images of the detection zone using devices such as smartphones, scanners, or webcams, followed by quantitative analysis of color intensity using image-processing software.127 While this method increases analytical accuracy, it requires consistent lighting conditions and image standardization—factors that, if not carefully controlled, can affect reliability. Flatbed scanners offer excellent light stability but reduce portability, while smartphones provide greater flexibility but often require custom holders or light-controlled boxes to ensure reproducibility.85,117
An emerging alternative is distance-based detection (DBD), which merges visual simplicity with quantification. In this technique, the analyte flows through a microchannel containing colorimetric reagents, forming a colored band whose length correlates with analyte concentration.128,129 DBD enables straightforward quantification without instrumentation, but its use in salivary diagnostics remains limited. Notable applications include interleukin detection using straight channels119 and iodide analysis in semicircular channels based on angular distance.130
While colorimetric methods remain attractive for their simplicity, their sensitivity and quantification range can be limited compared to more advanced techniques. These constraints have encouraged the integration or substitution of colorimetry with more sensitive platforms, such as electrochemical detection, especially in applications requiring precise biomarker quantification.
Furthermore, the integration of machine learning (ML) algorithms has emerged as a transformative strategy in colorimetric μPADs, particularly in smartphone-based analytical platforms. Beyond compensating for variations in ambient lighting and camera heterogeneity, ML enables multidimensional pattern recognition from RGB and texture features, improving signal discrimination and analytical robustness. Convolutional neural networks (CNNs), Random Forest, and ensemble learning models have demonstrated enhanced performance in paper-based colorimetric systems, including μPADs for lactate and glucose detection.131–133
In saliva-based applications, where matrix complexity, turbidity, and viscosity introduce non-linear signal distortions, regression-based ML approaches outperform traditional linear calibration by modeling complex data relationships.
While voltammetry remains dominant, other electrochemical techniques have also been explored in saliva diagnostics, albeit less frequently. Amperometry offers rapid detection and is often used for glucose monitoring,140 whereas potentiometry has proven effective in ion-selective assays, such as for naproxen.140 Additionally, EIS provides label-free detection and has been applied for the identification of pathogens such as the monkeypox virus.141
One critical challenge of electrochemical methods, however, is that they require the analyte to be electroactive. This limitation has driven the development of strategies to either enhance the electrochemical response of non-electroactive analytes or enable the detection of their by-products. One approach is chemical derivatization, where target molecules, such as phenylamine, are converted into electroactive compounds in situ. Another strategy involves electrode surface modification, which can involve the immobilization of specific reagents or nanomaterials to increase sensitivity and specificity. For example, Diao et al. developed an ion-selective electrode or the functionalization of electrodes with eutectic Ga–In and Au nanoparticles to capture aptamers specific to biomarkers such as homocysteine and C-reactive protein.139
In addition, aptamer-based sensors have gained traction, offering high selectivity through molecular recognition, as seen in histamine detection.138 Another promising method is the use of enzymatic cascades to amplify electrochemical signals, where enzymes, such as oxidases, produce electroactive species like hydrogen peroxide (H2O2), which can then interact with the electrode. This approach has been successfully applied for glucose and uric acid detection,15 with further amplification achieved by combining glucose oxidase with redox compounds such as aminoferrocene.140
Although electrochemical detection offers improved sensitivity, electrode fouling due to salivary proteins and mucins remains a persistent challenge. Additionally, the requirement for external readers or potentiostats may limit full decentralization unless fully integrated low-cost electronics are implemented. However, electrochemical methods are not limited to standalone techniques. Many studies have explored hybrid systems, where electrochemical detection is integrated with other methods such as colorimetry. These combined approaches offer the potential to overcome the individual limitations of each method, improving the robustness and sensitivity of paper-based analytical platforms for salivary diagnostics.
Fabiani et al. demonstrated this synergy in a paper-based electrochemical immunosensor for COVID-19, combining a colorimetric readout using 3,3′,5,5′-tetramethylbenzidine (TMB) with amperometric detection.142 The initial color change acted as a visual indicator, signaling the correct reagent flow and guiding users to initiate electrochemical measurements via a smartphone interface. This dual approach minimized user error while preserving assay reliability. The schematic shown in Fig. 6A highlights the device function.
![]() | ||
| Fig. 6 Examples of integrated detection strategies in PADs for salivary analysis. (A) Schematic of a dual-mode PAD developed by Fabiani et al., where a colorimetric reaction with TMB guides the user for subsequent amperometric detection via a smartphone interface. (B) Application of a wooden tongue depressor-based PAD combining colorimetric (for nitrite and thiocyanate) and electrochemical (for glucose and uric acid) detection, enabling the simultaneous analysis of multiple salivary biomarkers without sample preprocessing. Reprinted from Fabiani et al.,142 and de Lima et al.,141 respectively, with permission. | ||
Similarly, Pungjunun et al. integrated colorimetric and electrochemical techniques for the detection of salivary thiocyanate. The reddish-brown [FeSCN]2+ complex formed during the colorimetric reaction was quantified using smartphone-assisted DIC, and the same sample was subsequently analyzed by square-wave voltammetry. This sequential dual analysis achieved a lower detection limit than colorimetric detection alone, demonstrating that integration can improve analytical sensitivity.87
In addition to performance gains, hybridization of detection methods also enables multiplexed analysis. Fotouhi et al. reported a PAD capable of simultaneously detecting dopamine and iodide via linear sweep voltammetry and DBD measurements, respectively.130 A colorimetric reaction involving the formation of a blue iodine-starch complex was enhanced by applying a low-voltage potential, bridging the colorimetric and electrochemical modalities within a single system.
Further expanding this concept, Sousa et al. developed a µPAD capable of detecting multiple salivary analytes—including lactate, nitrite, pH, and α-amylase—using a shared sampling zone and integrated electrodes. Electrochemical detection of lactate was achieved through chronoamperometry using electrodes modified with Prussian blue nanocubes, while nitrite, pH, and amylase were measured through smartphone-assisted DIC using tailored colorimetric reactions.55
In another example, Lima et al. combined both detection modes on commercial wooden tongue depressors to achieve simultaneous measurement of glucose, uric acid, thiocyanate, and nitrite, without sample preprocessing, as can be seen in Fig. 6B. While nitrite and thiocyanate were detected through colorimetric measurements, glucose and uric acid required chronoamperometric detection using custom-designed electrodes.143
Another emerging technology is electrochemical impedance biosensors,22 an approach derived from electrochemical methods, which measure changes in the electrical resistance of an electrode–sample interface due to interaction with the analyte. This method is particularly useful for detecting proteins and cells in saliva and offers a promising alternative for rapid and sensitive testing. In addition, impedance spectroscopy and Raman spectroscopy have been used in µPADs for the non-invasive detection of biomarkers in saliva, allowing the detection of compounds with high selectivity without the need for chemical reagents. These techniques complement traditional methods and provide a wider range of options for detecting a variety of analytes in saliva samples, with the potential to expand the applicability of µPADs in clinical and POC diagnostics.
The choice of detection technique depends on several factors, but the most critical aspect to consider is the chemical nature of the target analyte. Following this, other criteria such as cost, equipment requirements, and methodological limitations should also be evaluated. Table 1 presents a comparative overview of common detection techniques, highlighting key parameters typically considered when selecting an appropriate analytical protocol for salivary biomarker detection using µPADs.
| Colorimetric | Electrochemical | Integrated systems (colorimetric + electrochemical) | Other approaches (fluorescence, microscopy, and Raman) | Ref. | |
|---|---|---|---|---|---|
| a DBD = distance-based detection.b DIC = digital image colorimetry. | |||||
| Detection principle | Color change in response to analyte interaction | Measurement of electrical signals (current, potential, or impedance) | Combination of colorimetric signal and electrical signal for cross-validation or enhanced sensitivity | Detection of fluorescence emission, impedance changes, or Raman scattering | 127, 146 and 147 |
| Required equipment | None (naked eye or DBDa); smartphone, scanner, camera, and computer for DICb | Potentiostat (benchtop or portable), smartphone or computer, and electrodes | Equipment for both techniques (potentiostat + camera/smartphone) | Depends on technique (fluorescence reader, microscope, or spectrometer) | 44, 47, 86, 148 and 149 |
| Sensitivity and specificity | Moderate sensitivity (often enhanced with DICb); good specificity with enzymatic reactions; and lower in non-enzymatic methods | High sensitivity, especially with modified electrodes and high specificity with aptamers, enzymes, or selective electrodes | Enhanced robustness, sensitivity, and specificity through cross-validation | High sensitivity and specificity; depends on the technique employed | 150–152 |
| Cost and simplicity | Very low cost; highly simple | Moderate cost (requires electrodes and reader); greater complexity | Variable cost and complexity; generally moderate to high | High cost and complexity; requires specialized equipment and training | 67 and 68 |
| Sample preparation needs | Generally minimal; depends on saliva viscosity and may be integrated into the system | May require filtration, dilution, or derivatization | Compatible with minimal pre-treatment; same sample used in both readings | May require specific preparation or labeling of the analyte | 31, 153 and 154 |
| Limitations | Lower sensitivity in quantitative analyses; matrix interference | Requires electroactive analytes, modified electrodes, or derivatization; higher cost | Greater operational and fabrication complexity | High cost; need for specialized equipment and limited portability | 103, 129, 155 and 156 |
Saliva collection is non-invasive, painless, and can be performed easily without specialized personnel or equipment, reducing both costs and patient discomfort. Unlike blood, saliva does not undergo fibrin-mediated coagulation, which simplifies sample handling and eliminates the need for anticoagulants during processing. In addition, saliva is comparatively easy to manipulate, and, depending on the target biomarker and storage conditions, may remain analytically stable for up to 24 h at room temperature and for several days under refrigeration, depending on the biomarker of interest. These properties make it an attractive biological fluid for biochemical and toxicological assessments.7 Saliva plays multiple physiological roles, including lubrication, antimicrobial protection, food-bolus formation, swallowing, and facilitating speech. Salivary secretion is primarily carried out by three major glands: the parotid, saliva submandibular, and sublingual glands. These glands are composed of serous and mucous cells—serous cells produce a watery secretion, while mucous cells contribute a thicker, more viscous component.4,157
On average, a healthy adult produces approximately 600 mL of saliva per day. Its composition is predominantly water (about 99%) mixed with electrolytes such as sodium, potassium, and chloride. In addition, saliva contains proteins, such as amylases, that aid digestion and antimicrobial agents that help regulate the oral microbiota. Other constituents include metabolic byproducts (urea, ammonia), blood-derived components, gingival crevicular fluid, and microbial components, including bacteria and their metabolites.5,6
As shown in Table 2, saliva is particularly advantageous due to its ease of collection and the relatively small volume required (1–4 mL). This makes it highly suitable for rapid and on-site diagnostics. In contrast, blood collection requires a more invasive procedure, while urine and sweat, although non-invasive, require larger volumes and can be affected by more significant interferences such as pH or salts. However, the concentration of biomarkers in saliva tends to be lower than in blood and urine. Nevertheless, its suitability for paper-based devices remains high, with minimal need for complex extraction or separation modules. Despite common interferences from enzymes, mucins, and food particles, saliva remains a promising diagnostic tool, particularly when combined with advances in sensor technology to detect specific biomarkers.
| Characteristic | Saliva | Urine | Blood | Sweat | Ref. |
|---|---|---|---|---|---|
| Easy-to-collect | Very easy (not stimulated)/easy (stimulated) | Easy | Requires puncture | Easy | 11 |
| Invasiveness | Non-invasive | Moderately invasive | Highly invasive | Non-invasive | 12 and 158 |
| Collection volume | Moderate, usually 1–4 mL | Abundant | Moderate, ∼1 mL | Low | 62, 159 and 160 |
| Suitability for paper-based devices | Highly suitable | Highly suitable | Suitable (usually requires incorporating an extraction/separation module into the device) | Suitable | 161–163 |
| Common interferences | Enzymes, mucins, and food | Salts and pH | Hemoglobin and lipoproteins | Salts and pH | 145, 164 and 165 |
| Concentration of biomarkers | Medium | High | High | Low | 30, 109 and 166 |
Saliva can be collected through two main approaches: unstimulated (or resting) saliva and stimulated saliva. Unstimulated saliva is predominantly secreted by the submandibular and sublingual glands in the absence of external stimuli.30 It reflects the basal state of salivary secretion and contains essential components, such as electrolytes, mucins, and antimicrobial proteins, which are crucial for maintaining mucosal integrity, lubrication, and innate defence mechanisms.11
In contrast, stimulated saliva is produced in response to gustatory, olfactory, or mechanical stimuli, such as chewing or tasting acidic substances. This type of saliva is primarily secreted by the parotid glands, accounting for approximately 80% of the total stimulated flow. It is typically waterier and contains higher bicarbonate concentrations, which contribute to its buffering capacity and help neutralize acids in the oral cavity.5
Following collection, saliva samples often require pre-treatment to ensure stability and analytical accuracy. Common processing techniques include centrifugation, filtration, and cryopreservation, as well as the addition of chemical preservatives to prevent enzymatic degradation and microbial contamination.11 In several µPAD applications, saliva samples are used without any extensive pretreatment. This is largely due to the fact that the porous structure of paper, when integrated with microfluidic channels, can naturally retain certain interferences and particulate matter, thus simplifying sample processing. However, it is important to note that, depending on the nature of the target analyte, particularly in the case of low abundance biomarkers or analytes susceptible to degradation, pre-analytical steps such as filtration, stabilisation, or selective enrichment may still be required to ensure analytical reliability and sensitivity.
This approach is supported by recent studies demonstrating that the intrinsic porosity and capillarity of paper used in μPADs can selectively retain particulate matter and potential interferents during fluid migration, enabling the direct use of untreated saliva samples in many point-of-care applications. Ferreira et al. successfully quantified nitrate and nitrite in human saliva using a paper-based device without prior sample processing, while Chen et al. highlighted that, although paper microfluidics can simplify or even eliminate pre-treatment steps, the necessity for such steps should still be evaluated based on the physicochemical characteristics and stability of the target analyte.167,168
In conventional laboratory diagnostics, saliva samples are frequently centrifuged to remove cellular debris, followed by storage at −20 °C or −80 °C prior to analysis by ELISA, HPLC, LC–MS/MS, or RT-PCR, depending on the analyte. Therefore, when µPADs are proposed as alternatives, their analytical performance should ideally be compared with these reference protocols using matched clinical samples.2,48
Salivary analytes can be classified in several categories, including their chemical nature, diagnostic relevance, and functional role in disease detection. Table 3 provides a classification based on the chemical characteristics and diagnostic purpose of these biomarkers, along with recent examples from the literature illustrating their application in paper-based devices. Categorizing biomarkers according to their chemical nature allows for a more structured and focused review of what has been reported, especially considering that a given disease, whether systemic or localized, may involve multiple biomarkers, which together contribute to a more accurate and comprehensive diagnosis.
| Biomarker | Clinical relevance | Normal range in saliva | Main associated techniques | LOD | Ref. |
|---|---|---|---|---|---|
| a CKD = chronic kidney disease.b PEDOT-GO = poly(3,4-ethylene dioxythiophene). | |||||
| Salivary pH | Reflect nitric oxide pathway activity and indicators of inflammation, infection, cardiovascular and periodontal diseases. | 6.5–7.5 | Colorimetric indicators | — | 55 |
| Nitrite | Reflect nitric oxide pathway activity and indicators of inflammation, infection, cardiovascular and periodontal diseases. | 25–1000 µmol L−1 | Colorimetric detection (Griess method)/electrochemical | 0.05 µmol L−1/1.5 μmol L−1 | 167 and 171 |
| Nitrate | 5–300 µmol L−1 | Colorimetric and electrochemical detection | 0.08 mmol L−1/0.015 µmol L−1 | 167 and 172 | |
| Magnesium (Mg2+) | Involved in bone health, cardiovascular function, energy metabolism, and immune response. | 0.1–0.5 mmol L−1 | Colorimetric detection | 62 µmol L−1 | 113 |
| Iron (Fe2+) | 10–30 μg dL−1 | Colorimetric detection | 5.6 ppm | 158 | |
| Calcium (Ca2+) | 1.1–2.5 mmol L−1 | Colorimetric detection | 2.9 mg L−1 | 124 | |
| Phosphate | 4–8 mmol L−1 | Colorimetric and electrochemical detection | 26 μmol L−1/26.27 mg L−1 | 173 and 174 | |
| Thiocyanate | Marker of oxidative stress and tobacco use; elevated in periodontal disease. | 0.2–2.0 µmol L−1 | Colorimetric assays and electrochemical sensors | 6 μmol L−1 | 87 |
| Ammonia | Reflect liver and kidney function; useful in monitoring CKDa and microbiome balance. | 2–5 mmol L−1 | Colorimetric detection via gas-diffusion μPADs | 0.03 mg dL−1 | 12 |
| Urea | 15–22 mg dL−1 | Colorimetric detection via urease activity | 10.4 mg dL−1 | 175 | |
| Uric acid | Correlates with serum levels; useful for monitoring metabolic and cardiovascular conditions. | 30–240 μmol L−1 | Colorimetric assays and electrochemical detection with PEDOT-GOb nanocomposites | 0.75 μmol L−1 | 176 and 177 |
| Salivary amylase | Digestive enzyme; elevated in stress and pancreatic disorders. | 20–100 U mL−1 | Colorimetric enzyme activity detection | 0.75 U mL−1 | 91 |
| Lactoferrin | Periodontitis, Alzheimer's disease, and systemic inflammation | 2–5 mg L−1 | Colorimetric detection | 110 µg mL−1 | 178 |
| Alkaline phosphatase (ALP) | Bone diseases, liver diseases, and periodontal disease | 20–140 U L−1 | Colorimetric enzyme activity detection | 1.69 U L−1 | 179 |
| C-reactive protein (CRP) | Cardiovascular diseases, periodontal disease, and diabetes | 0–5 mg L−1 | LFA | 55 ng mL−1 | 180 |
| Interleukin-6 | Inflammatory and cancer-related biomarkers; involved in tissue degradation and immune response. | 1–50 pg mL−1 | Colorimetric detection | 9.55 pg mL−1 | 181 |
| Tumor necrosis factor alpha (TNF-α) | 2–10 pg mL−1 | Electrochemical detection | 5.97 pg mL−1 | 181 | |
| Matrix metalloproteinases (MMPs) | Variable (ng mL−1) | LFA and electrochemical detection | 1.0 ng mL−1 | 182 and 183 | |
| Cortisol | Stress, metabolic, and cardiovascular markers; useful in tracking systemic health. | 0–30 ng mL−1 | Electrochemical detection | 0.81 ng mL−1 | 184 |
| Cholesterol | 0.5–12 mg dL−1 | Colorimetric and impedimetric detection | <5 μg ml−1 | 185 and 186 | |
| Glucose | Diabetes and metabolic syndrome and dysfunction | 0.5–1.0 μmol L−1 | Colorimetric and electrochemical enzyme activity detection | 2.60 × 10−6 mol L−1 | 88, 187 and 188 |
| Lactate | Sepsis, hypoxia, physical exertion, metabolic disorders, and bacterial activity | 0.11–0.56 mmol L−1 | Electrochemical detection | 8.14 × 10−7 mol L−1 | 188 |
| Tuberculosis (TB) | Saliva enables rapid, non-invasive detection of infectious agents. | Negative/positive | Nucleic acid amplification and colorimetric detection | 1.95 × 10−2 ng mL−1 | 73 |
| SARS-CoV-2 | Negative/positive | Nucleic acid amplification and LFA | 30 ng mL−1 | 142 and 189 | |
| Influenza virus | Negative/positive | LFA, colorimetric and electrochemical detection | <5 PFU mL−1 | 190 | |
| Aldehydes | Markers of oxidative stress, oral cancer risk, and substance use. | Not well established; detection range: 20.4–114.0 μM | Colorimetric detection | 6.1 μmol L−1 | 191 |
| Alcohol (ethanol) | 0–0.05 g dL−1 | Colorimetric detection | Not specified | 146 | |
| Codeine and fentanyl | Useful for on-site detection of opioid or stimulant use and monitoring abstinence. | Not established; detectable levels vary with use | LFA and electrochemical detection | Codeine 70 ng mL−1 and fentanyl 22 ng mL−1 | 192 |
| Methamphetamine | Negative/positive | Electrochemical detection | <400 ng mL−1 | 193 | |
Paper-based devices have been successfully developed to measure many of these analytes. For example, µPADs functioning as pH indicators enable the monitoring of salivary pH variations, which are often linked to caries risk and periodontal diseases. Nitrite and nitrate levels can reflect bacterial activity or inflammatory states, whereas ions such as calcium and phosphate are directly associated with tooth demineralization or salivary gland function.167,173 However, despite their analytical accessibility, matrix effects, such as variable ionic strength, enzymatic degradation or protein adsorption, can affect both the stability and reactivity of colorimetric reagents.
Clinically, these analytes are commonly quantified using ion chromatography, spectrophotometry, enzymatic assays, or automated biochemical analysers. For example, salivary uric acid and ammonia are often measured using enzymatic-colorimetric kits adapted from serum analysis, while nitrite and nitrate are quantified via Griess-based spectrophotometric assays or chromatographic techniques.7,16,48,129
In the context of systemic disease, µPADs targeting these analytes have emerged as promising for the early detection of metabolic disorders and even certain cancers. For instance, uric acid and ammonia levels have been explored as markers for metabolic dysfunctions and kidney disease,194 while broader applications include detection strategies for lung, oral, and breast cancer using salivary profiles.195–197
Strategies such as buffer pre-loading or the use of hydrophilic membranes can help minimize matrix-related interferences, including variations in pH, viscosity, and biofouling effects. For example, Aguiar et al. demonstrated improved analytical performance using modified cellulose papers that enhance sample transport and reduce matrix interferences.112
Multiplexed platforms for the simultaneous detection of ions, such as phosphate and nitrate, have clinical appeal for distinguishing systemic causes from localized oral conditions.174 However, ensuring that cross-reactivity is avoided in confined test zones remains a technical obstacle. The use of separation microfluidic channels offers a way to improve selectivity in such applications.124
An important gap in this area is the lack of standardized antibody reagents and matrix-stabilization techniques, which hinders reproducibility and shelf-life. The potential for multiplexed protein detection is promising but still in the early stages of development, often constrained by cross-reactivity and signal overlap.180
A key challenge is the complex salivary matrix, which can lead to nonspecific binding and protein degradation, especially under uncontrolled conditions. PADs using wax-printed barriers or plasma separation membranes can selectively retain proteins while allowing removal of interfering species, improving both specificity and reliability.119
Several devices are currently under development to detect cytokines in saliva, often using electrochemical immunosensors. While references for specific cytokines, such as MPO or TNF-α, were not listed above, many of the platforms from protein and enzyme detection studies can be adapted to target inflammatory mediators with similar approaches.180,181
Clinically, the early detection of elevated cytokine levels could significantly impact the monitoring of chronic diseases, such as periodontitis or Sjögren's syndrome. However, this demands µPADs with active pre-concentration steps, such as those employing capillary-based enrichment zones or nanoparticle-assisted signal amplification. These strategies remain underexplored in salivary diagnostics.200–202
Devices developed by different authors have shown promising results in noninvasive glucose and cortisol monitoring. However, devices often struggle with dynamic range and time-dependent variability in salivary hormone levels, which may limit their standalone diagnostic potential.55,86,185
The integration of electrochemical sensing platforms represents a step toward quantitative µPADs, though such systems must address challenges related to calibration, stability, and signal drift. Future clinical applications would benefit from continuous monitoring formats or wearable integration, particularly in stress research or diabetes management, where real-time salivary readings could complement CGMs (continuous glucose monitors).187,189
Fabiani et al. developed a smartphone-assisted µPADs for SARS-CoV-2 diagnosis and demonstrated that paper-based formats could deliver sensitive results suitable for large-scale screening.142 Similarly, Tsai et al. and Bhardwaj et al. described the development of paper-based devices capable of detecting TB and influenza, respectively.73,190
While these devices offer high clinical and public health value, their performance is often evaluated under controlled lab settings. There is a clear need for real-world validation studies, particularly in resource-limited or community settings, where they are most needed. Moreover, integration with smartphone-based image analysis and connectivity tools could enhance the impact of these technologies, enabling real-time epidemiological monitoring.
It is important to highlight that saliva contains nucleases, mucins, and enzymes that may degrade viral components. Without integrated sample preparation steps, such as thermal lysis, filtering membranes, or pH stabilization, the sensitivity and reliability of these tests decline. Designs like those developed by Bhardwaj et al., which incorporate on-paper heating zones and lyophilized reagents, pave the way for more robust field use.190
Although several strategies employing pre-treatment layers, filtration steps, or selective reagents have shown promise, significant challenges remain. Issues such as limited selectivity, false-positive responses, and matrix interference continue to affect analytical reliability. Further advances are required to establish standardized cut-off values, improve quantification accuracy, and minimize interference from endogenous salivary components.193,203
The porous cellulose matrix acts as a passive filtration layer, retaining larger particulates and mucin aggregates during capillary flow. Flow regulation further helps mitigate salivary variability.4,204 Channel geometry, multilayer configurations, and embedded delay elements enable modulation of reaction timing and fluid transport. When combined with previously discussed valve systems and 3D µPAD architectures, these approaches allow sequential reactions and improved reproducibility under heterogeneous viscosity conditions.
Integration of sample treatment within hybrid systems also strengthens analytical robustness. Liu et al. reported a centrifugal microfluidic disc coupled with µPAD detection for salivary SARS-CoV-2 nucleocapsid protein, achieving efficient on-disc sample conditioning and low detection limits (10 pg mL−1) with performance comparable to that of commercial lateral flow assays.205 This illustrates how mechanical preprocessing and paper-based sensing can be combined synergistically to address the complexity of the salivary matrix.
In addition, reagent immobilization and surface functionalization strategies enhance stability and selectivity. Although often demonstrated in urine-based devices, such as the enzymatic nitrate µPAD developed by Ferreira et al., these principles are directly translatable to saliva, where enzyme stabilization and controlled activation are critical for reproducible performance.194 These examples demonstrate that µPADs can integrate pre-analytical control into their structural design, strengthening the link between analytical architecture and real-world salivary diagnostics.
µPADs for salivary analysis have begun to be evaluated in real saliva samples, although typically in modest cohorts (often n < 20 per group).55,173,194 Santana-Jiménez et al., for example, demonstrated the feasibility of a bienzymatic paper-based glucose sensor applied directly to untreated saliva.206 Ferreira et al. reported the successful determination of nitrate and nitrite in saliva with verification using reference methods,167 and Kumar et al. validated a phosphate µPAD in 19 saliva samples with good correlation to spectrophotometric analysis.173 In most cases, the primary objective was to demonstrate the applicability of the device using authentic samples rather than statistically powered clinical validation, and diagnostic cut-offs, sensitivity, and specificity metrics remain largely undefined.
Importantly, the clinical maturity of salivary biomarkers varies depending on the pathology under investigation. For systemic conditions, cohort-based validation of salivary markers remains limited and heterogeneous.4,5 In contrast, for localized inflammatory diseases, such as periodontitis, salivary biomarkers have been more consistently studied in stratified patient populations.6,11,12,18 Bezerra Júnior et al. reported significant alterations in organic and inorganic salivary compounds in individuals with chronic periodontal disease, supporting the biological plausibility of saliva-based assessment.207 Similarly, Almeida et al. evaluated salivary cortisol in individuals with temporomandibular disorders within a clinically characterized cohort, illustrating that biomarker investigation in saliva predates device-oriented validation.208
Taken together, these findings reveal an asymmetry in the literature: while several salivary biomarkers have undergone cohort-based clinical investigation, µPAD-based validation in comparable populations remains at an early stage. The field is clearly shifting from analytical proof-of-concept to translational evaluation, yet convergence between biomarker clinical evidence and large-scale device validation remains needed. Statistically powered, multicenter studies will be essential to consolidate salivary µPADs as robust diagnostic tools, particularly for systemic diseases.209–211
In addition, batch-to-batch variability arising from differences in paper porosity, fiber distribution, surface treatments, and manual reagent deposition can significantly affect reproducibility, especially in quantitative applications. Pre-analytical variability also represents a critical barrier: saliva composition is influenced by hydration status, circadian rhythm, stimulation conditions, and collection protocols, yet these factors are not consistently standardized across studies.12
Although numerous proof-of-concept devices have been reported, large-scale clinical validation studies directly comparing µPADs with gold-standard laboratory techniques remain limited. Addressing these challenges will require standardized fabrication workflows, harmonized saliva collection protocols, stability studies under real-world conditions, and statistically powered clinical evaluations to ensure regulatory acceptance and real-world implementation.
Portable and miniaturized potentiostats were initially developed for coupling with portable devices for sweat analysis and opening the door to non-invasive and continuous analysis of body fluid samples.212–218 This innovation has catalyzed the development of various handheld and open-source potentiostats, such as those offered by PalmSens and Io-Rodeo, as well as low-cost custom devices reported in academic research. For instance, Anshori et al. designed a low-cost, portable potentiostat (USD 21.4) that supports multiple electrochemical techniques, including CV, LSV, SWV, DPV, NPV, and chronoamperometry, with a performance comparable to that of commercial systems (average accuracy >90% vs. EmStat Pico). Notably, it also enables semi-parallel analysis using three simultaneous channels.218
Particularly for salivary analysis, the use of a portable, battery-powered, and wireless potentiostat is highly desired, especially in POC applications. As demonstrated by Bianchi et al., the integration of a potentiostat into IoT-based biosensor systems enables autonomous operation and cloud-based data processing, a feature that is critical for decentralized diagnostics.212 Their device operates independently without the need for smartphones or PCs, offering Wi-Fi connectivity and machine learning-based calibration directly through a web interface. Similarly, Ferreira et al. developed the PULSE system, a fast and miniaturized platform for lab-on-site electrochemistry, capable of performing chronoamperometry and cyclic voltammetry with high accuracy (97.6%) and rapid pH detection in just 2 s, emphasizing its utility in real-time analysis.217
Although none of these devices were initially designed for saliva analysis, their performance demonstrated in real biological matrices (e.g., sweat, blood, or artificial fluids) positions them as powerful candidates for adaptation. However, due to saliva's complex matrix and potential interferences, as well as its enzymatic activity, any such adaptation must consider strategies such as microfluidic separation or selective membrane integration. These adaptations are essential to preserve signal stability and ensure accurate biomarker detection. Moreover, the implementation of IoT features, such as real-time data upload, wireless communication, and AI-assisted interpretation, represents a crucial step for smart diagnostics, particularly under emergency health scenarios such as the COVID-19 pandemic.212,218 While wearable electrochemical sensors have progressed notably for sweat monitoring, similar systems for saliva remain a frontier yet to be fully explored—one that demands miniaturization, biofouling prevention, and real-time data transmission.
These technological advances also position IoT-integrated µPAD systems within the contemporary REASSURED framework for point-of-care diagnostics.219,220 Originally defined as ASSURED and later expanded to incorporate real-time connectivity and ease of specimen collection, this framework reflects the evolution of decentralized testing toward digitally connected and minimally invasive platforms.221 In this context, the combination of salivary sampling with portable readout, wireless communication, and cloud-based processing directly addresses multiple REASSURED dimensions, extending beyond affordability and user-friendliness to include connectivity-driven data integration.221–223 Such alignment enhances the potential of µPAD-based systems for large-scale screening, longitudinal monitoring, and integration into digital health infrastructures, ultimately strengthening their contribution to clinical decision-making and real-time public health surveillance.
However, achieving full decentralization requires not only digital connectivity but also operational autonomy. While IoT-enabled µPADs address data transmission and integration, the dependence on external power sources still limits their deployment in resource-constrained or remote settings. In this context, self-powered µPADs emerge as a complementary strategy aimed at eliminating energy dependency and enabling fully autonomous analytical platforms.
Demonstrations of self-powered sensors were provided by Fischer et al., who developed a 3D origami enzymatic fuel cell in which glucose oxidation generated the analytical current directly within the sensor, eliminating the need for external power sources.225 Similarly, Pal et al. integrated a triboelectric generator, enabling user-activated energy harvesting to power quantitative sensing.226 A particularly relevant advancement for salivary diagnostics on paper was demonstrated by Mohammadifar and Choi, who reported a saliva-activated paper biobattery based on lyophilized exoelectrogenic bacteria preinoculated onto paper.227 Upon rehydration with a single drop of saliva, the microbial fuel cells generated electrical power within minutes, sufficient to drive on-chip electronics. The freeze-dried bacteria enabled extended shelf life, while series integration of multiple cells on a single paper sheet enhanced power output. This work highlights the feasibility of saliva not only as a diagnostic fluid but also as a direct energy trigger, reinforcing the concept of fully autonomous, disposable paper-based platforms for point-of-care applications.
Wearable saliva sensors are particularly promising for continuous biomarker monitoring.71 Although paper has not yet been extensively employed as the core sensing element in wearable saliva platforms, particularly those designed for continuous or real-time monitoring, it remains a highly promising material. Its intrinsic biocompatibility, natural absorptive capacity, low cost, disposability, and compatibility with both colorimetric and electrochemical detection methods make paper an attractive option for the development of lightweight, flexible, and user-friendly wearable systems. Rather than competing with existing materials, paper-based architectures may offer complementary advantages that can be strategically leveraged in future wearable saliva biosensing technologies.
Fig. 7 illustrates representative devices in this category. Among these, Arakawa et al. introduced a mouthguard biosensor in which cellulose acetate functions as a selective filtration membrane rather than as the sensing element itself, effectively reducing interference from salivary constituents such as uric and ascorbic acids and thereby improving the specificity of electrochemical glucose detection (Fig. 7).229
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| Fig. 7 Example of a wearable saliva-based diagnostic device: cellulose acetate-coated mouthguard biosensor for in vivo salivary glucose monitoring with interference rejection. Reprinted from Arakawa et al.,229 with permission. | ||
In recent years, paper has been employed to design portable and cost-effective devices for exosome analysis. Analytical techniques, such as lateral flow assays,229 luminescence resonance energy transfer,230 and distance-based assays, have been used to detect exosomes by targeting cluster differentiation (CD) molecules present on their membrane.231 The distance-based assay, for example, detects exosome aggregation with polydiacetylene particles and analyzes solvent migration visually. While these methods provide useful insights into exosome identity, the detection of nucleic acids within exosomes, such as miRNA, has gained attention for its potential in early cancer detection and screening. Guo et al. proposed a pen-based paper chip for detecting breast-cancer-derived exosomal miRNA-21.232 Despite these advances, the use of μPADs for exosome detection in saliva samples remains underexplored. There is still a need for protocols that address sample preparation, exosome separation, and detection for effective analysis in clinical applications.
In addition, reproducibility in device fabrication, including paper batch variability, reagent immobilization consistency, and storage stability, must be addressed to ensure analytical robustness.12 Establishing standardized performance metrics (limit of detection, sensitivity, specificity, and clinical agreement with reference methods) is essential for regulatory approval and for meaningful comparison across platforms.13,23
From a regulatory perspective, µPAD-based diagnostic devices must comply with regional frameworks, such as FDA clearance in the United States or CE marking under the European In Vitro Diagnostic Regulation (IVDR). The recent COVID-19 pandemic highlighted the strategic importance of rapid, scalable diagnostic platforms, many of which relied on paper-based lateral flow technologies as foundational tools for mass screening.16 These devices demonstrated how simplified microfluidic architectures can successfully transition from laboratory research to large-scale deployment when aligned with regulatory pathways and manufacturing scalability.15,21,41
Indeed, paper-based diagnostics are not conceptually new to clinical practice. The commercial pregnancy test, one of the most successful diagnostic tools worldwide, relies on a paper-based microfluidic format combined with colorimetric detection, offering simplicity, robustness, reproducibility, and low cost. Its widespread adoption illustrates how paper-based technologies can achieve regulatory approval, market penetration, and sustained societal impact when supported by clear clinical need and standardized validation processes.16,37,41
Bridging the gap between academic innovation and regulatory compliance will therefore require early integration of quality control, clinical validation, and manufacturing considerations during device development. Interdisciplinary collaboration among chemists, clinicians, engineers, regulatory specialists, and industry partners will be essential to transform promising µPAD prototypes into reliable, scalable, and clinically approved diagnostic tools.
As the demand for non-invasive diagnostic methods has grown, µPADs have been increasingly explored for salivary analysis. As highlighted in this review, saliva contains a wide range of biomarkers—proteins, hormones, enzymes, metabolites, microRNAs, and electrolytes—that reflect systemic physiological and pathological states, making it highly suitable for diagnosing conditions such as cancer, viral infections, metabolic disorders, cardiovascular diseases, and oral health issues.
Salivary diagnostics through paper-based devices align strongly with the ASSURED criteria established by the WHO for global health diagnostics. More recently, the evolution toward the REASSURED framework further strengthens the relevance of IoT-integrated and saliva-based µPAD platforms within contemporary decentralized healthcare models. The convergence of accessible technology and urgent clinical needs makes µPADs a promising solution for frontline healthcare services and emergency health scenarios, particularly in underserved regions.
While some salivary biomarkers—such as lactoferrin, cortisol, and amylase—are already well-established, many others remain a “black box,” requiring more precise screening and robust clinical validation. Developing a clearer correlation between conventional diagnostic methods and disease-specific biomarkers is essential to fully realize the potential of µPADs in early disease detection.
Furthermore, the multiplexed detection of several biomarkers in a single sample—for example, in the diagnosis of cancer, diabetes, kidney disorders, and periodontal disease—has enabled more accurate and sensitive diagnostics. Nevertheless, significant challenges remain, including the standardization of biomarker concentrations, the integration of sample pre-treatment steps (e.g., filtration, extraction, and concentration) into a single device, the development of truly standalone devices independent of smartphones or external readers, and mitigating interference from biological components in complex samples. Multiplexed bioanalysis and the advancement of highly specific and sensitive sensors represent promising directions to enhance the reliability of µPADs in real-world clinical samples.
With continuous innovation in functional materials, microfabrication, and device miniaturization, paper-based analytical technologies are expected to play an increasingly central role in democratizing early diagnosis and advancing global public health. In parallel, the growing maturity of salivary diagnostics on µPADs opens up promising avenues for commercialization, especially as they offer a low-cost, user-friendly alternative to conventional lab diagnostics. Their portability, simplicity, and ability to deliver rapid results make them particularly attractive for direct-to-consumer applications, home testing kits, and telehealth integration. When coupled with digitally connected infrastructures, these platforms may support scalable screening programs, longitudinal monitoring, and real-time data-driven clinical decision-making, consolidating their position within the REASSURED paradigm of modern POCT. As regulatory pathways become clearer and manufacturing scalability improves, these devices hold significant potential to disrupt traditional diagnostic markets and expand access to personalized, preventive healthcare worldwide.
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