Next Article in Journal
Recent Advances in NIR-II Molecular Aggregates and Applications in the Biomedical Field
Next Article in Special Issue
Electrochemical Pretreatment and Functionalization of Pencil Graphite Electrodes for Enhanced Transducer Performance in Biosensing
Previous Article in Journal
Electrochemical Sensors and Biosensors for the Detection of Pharmaceutical Contaminants in Natural Waters—A Comprehensive Review
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Electrochemical Immunosensor Prototype for N-Terminal Natriuretic Peptide Detection in Human Saliva: Heart Failure Biomedical Application

by
Abdoullatif Baraket
1,
El Kahina Ghedir
2,3,
Nadia Zine
3,
Nicole Jaffrezic-Renault
3,*,
Abdellatif Aarfane
1,
Hamid Nasrellah
1,
Fouad Belhora
4,
Francisco Palacio Bonet
5,
Joan Bausells
6 and
Abdelhamid Errachid
3
1
High School of Education and Training El Jadida, Chouaïb Doukkali University, El Jadida 999055, Morocco
2
Laboratory of Sensors, Instrumentations and Process (LCIP), Institute of Science and Technology, University of Khenchela, Route de El Hamma, 40000 Khenchela, Algeria
3
Institut de Sciences Analytiques (ISA), Université de Lyon—UMR 5280, 5 rue de la Doua, 69100 Villeurbanne, France
4
National School of Applied Sciences El Jadida, Chouaïb Doukkali University, El Jadida 24000, Morocco
5
Department of Electronics and Biomedical Engineering, Universitat de Barcelona, 08007 Barcelona, Spain
6
Institute of Microelectronics of Barcelona (IMB-CNM, CSIC), Campus UAB, 08193 Bellaterra, Spain
*
Author to whom correspondence should be addressed.
Chemosensors 2025, 13(2), 66; https://doi.org/10.3390/chemosensors13020066
Submission received: 24 December 2024 / Revised: 7 February 2025 / Accepted: 11 February 2025 / Published: 13 February 2025
(This article belongs to the Special Issue Advanced Biosensors for Diagnostic Applications)

Abstract

:
NT-proBNP is the gold standard biomarker for early diagnostics of heart failure, disease prevention, and stratified and individualized patient care. In this work, we aim to develop a novel ultra-sensitive immunosensor for direct NT-proBNP detection in human artificial saliva (AS), which represents an intriguing biological matrix potentially rich in biomarkers. The immunosensor will enhance the sensitivity of detection, reduce measurement time, and enable the simultaneous detection of various biomarkers. The developed biosensor, based on gold working microelectrodes (WEs), was biofunctionalized using 4-carboxymethyl aryl diazonium (CMA) to immobilize anti-NT-proBNP antibodies. The deposition of CMA onto the gold surface of the microelectrodes was accomplished using cyclic voltammetry (CV). The binding between NT-proBNP antibodies and NT-proBNP antigens was tracked using electrochemical impedance spectroscopy (EIS) in conjunction with the standard addition method. A linear detection response within the range of 1–20 pg/mL for NT-proBNP detection in PBS and artificial saliva was demonstrated, with good selectivity in the presence of other potential interfering biomarkers (interleukin 6 (IL-6), interleukin 10 (IL-10), and interleukin 1 β (IL-1β)). The developed immunosensor shows great promise for rapid and accurate analysis in biomedical applications.

1. Introduction

Heart failure (HF) is a rapidly growing chronic cardiovascular disease and, according to the World Health Organization, it currently represents the main cause of mortality and major morbidity worldwide, particularly among older people [1,2,3]. HF is a complex clinical syndrome caused by a wide range of cardiovascular disorders, such as structural or functional abnormalities of the heart, which result in the impairment of the heart’s ability to fill or pump out blood, eventually leading to the clinical syndrome of HF. In other words, HF can be defined as an abnormality of cardiac structure or function that may, as a possible consequence, fail to deliver oxygen at a rate commensurate with the requirements of organs and tissues. One of the main symptoms of HF is shortness of breath, in addition to swelling of the legs and ankles, high jugular venous pressure, extreme fatigue, and exercise intolerance. Faced with the difficulty of obtaining enough donor organs, sleep disorders, and anorexia, all these symptoms combine to provide a very poor quality of life for patients with HF [4,5,6,7]. Nevertheless, heart failure patients often display ambiguous signs and symptoms that could be attributed to a broad range of conditions, making a diagnosis based only on clinical presentation problematic. This heterogeneity of presentation often results in delays in definitive diagnosis and treatment, and such delays are linked with poor prognosis [8,9]. These non-specific symptoms may lead to delays in accurate diagnosis and treatment, resulting in worse clinical outcomes and increased healthcare costs. Hence, more effective and rapid approaches are needed for HF diagnosis.
Biomarkers, measurable biological markers of a pathological process, have established a growing role in modern medical practice over the last fifty years. They are described as characteristics that provide information about various biological conditions, whether normal or pathological [10,11,12,13,14,15]. Recently, several HF biomarkers have been considered for HF management [16,17,18], but since 2008, the European guidelines have highlighted the role of natriuretic peptides (NPs), such as brain natriuretic peptide (BNP) and N-terminal proBNP (NT-proBNP), as markers of HF [19,20,21]. Increased plasma levels of circulating NPs have been described in patients with congestive HF and are directly proportional to the severity of congestive heart failure as classified by the New York Heart Association criteria [22,23]. Plasma or serum concentrations of BNP or NT-proBNP are currently the recommended biomarkers supporting clinical judgment for the diagnosis of HF [17,24,25,26].
BNP and NT-proBNP are generally quantified in blood by enzyme-linked immunosorbent assay (ELISA) [27,28,29], electrochemiluminescence immunoassay (ECLIA) [30], fluorescent immunochromatographic assay [31], radioimmunoassay (RIA) [32], and immunoradiometric assay (IRMA) [33]. Additionally, affinity chromatography [34] and chromatography coupled with tandem mass spectrometry methods [34,35] have recently been reported for NP determination in plasma. However, all these methods have some disadvantages, such as the need for specialized personnel, expensive instruments, and long detection times. Nowadays, immunosensor devices with different sensing receptors and transducers can be considered more interesting and promising tools for determining biomarkers in biological fluids due to their increased sensitivity, decreased detection limit, cost-effectiveness, and easier usability [36,37,38].
This research introduces a biosensor with high sensitivity (Figure 1A) for identifying NT-proBNP in the saliva of individuals with HF. Saliva analysis offers several advantages compared to blood analysis because saliva can be easily and unobtrusively collected, even from critical subjects (e.g., children, older people, and disabled people), making it suitable for screening a large population. This bypasses several drawbacks such as invasiveness, psychological stress (especially if repeated sampling is needed), and possible health risks for patients and healthcare professionals [38,39,40].
Examining salivary biomarkers, NT-proBNP in particular, shows a promising technique for the non-invasive detection of heart failure. Nonetheless, present methodologies are constrained by their reproducibility and sensitivity as previously mentioned [41]. Consequently, recent research has increasingly focused on detecting salivary biomarkers as indicators of individual health status across various medical fields, including diabetes [42], cancer [43], and cardiovascular diseases. Studies have shown that NT-proBNP is present in saliva, with elevated levels in individuals suffering from heart failure compared to healthy individuals [44]. Here, the authors validated an analytical method for quantifying NT-proBNP in saliva samples using a commercial ELISA test, demonstrating promising sensitivity. Furthermore, emerging research supports the potential of salivary biomarker detection for identifying cardiovascular diseases, although this approach remains in the developmental stage [45]. These studies highlight the potential of the NT-proBNP detection in saliva as a non-invasive diagnostic tool, while emphasizing the need for more sensitive and specific methodologies, which our biosensor aims to achieve.
For the creation of our biosensor, monoclonal antibodies (mAbs) targeting NT-proBNP were attached to gold working electrodes (WEs) using a process involving carboxyl diazonium. To validate the mAb attachment and analyze the surface characteristics of the gold microelectrodes, cyclic voltammetry (CV) was employed throughout the microelectrode modification process. The immunosensor specificity was proven by analyzing different standard solutions containing other HF biomarkers, which may have represented possible interferences, such as the cytokines interleukin 1β (IL-1β), interleukin 6 (IL-6), and interleukin 10 (IL-10) [46,47,48]. Finally, electrochemical impedance spectroscopy (EIS) combined with the standard addition method was used to quantify the NT-proBNP in both standard solutions and artificial saliva, showing good sensitivity and selectivity.

2. Materials and Methods

2.1. Chemicals and Reagents

4-Aminophenylacetic acid (4-carboxymethylaniline, CMA), sodium nitrite (NaNO2), hydrochloric acid (HCl) 37%, pure ethanol, N-(3-dimethylaminopropyl)-N-ethyl-carbodiimide hydrochloride (EDC), N-hydroxysuccinimide (NHS), ethanolamine, phosphate-buffered saline (PBS), potassium hexacyanoferrate (III) (K3Fe(CN)6), and potassium hexacyanoferrate (II) trihydrate (K4Fe(CN)6·3H2O) were purchased from Sigma Aldrich (Saint-Quentin-Fallavier, France). N-Terminal proBNP antibody (anti-NT-proBNP, Cat. No. ABIN191290) and NT-proBNP protein (Cat. No. ABIN2126406) were purchased from Anticorps-enligne.fr (Aachen, Germany). Recombinant human IL-1 β protein (Cat. No. ab184595) and recombinant human IL-6 protein (Cat. No. ab119444) were from ABCAM (Paris, France). Recombinant human IL-10 with the reference (Cat. No. 217-IL) was purchased from R&D System (Noyal Châtillon sur Seiche, France). Millipore Milli-Q nanopure water (resistivity > 18 MΩ cm) was produced by a Millipore Reagent Water System (Molsheim, France).

2.2. Antibodies and Standard Solutions of Antigens

Antibodies (Abs) were reconstituted according to the protocol provided by the supplier, aliquoted, and subsequently stored at −20 °C until use. The concentration of each aliquot was 5 mg/mL. Antigens (Ags, e.g., NT-proBNP, IL-1β, IL-6, and IL-10) were diluted in appropriate buffer following the protocol provided by the supplier, aliquoted into stock solutions with a concentration of 50 µg/mL, and then stored at −20 °C until use.
An Ab stock solution aliquot was thawed at 4 °C for 1 h each day of analysis and further diluted in PBS (10 mM, pH 7.4) to obtain 50 ng/mL solution.
Ag stock solutions were thawed at 4 °C for 1 h before being used to prepare standard solutions at different concentrations (1, 5, 10, 15, and 20 pg/mL) by dissolving the appropriate amount of the stock solution in PBS (10 mM, pH 7.4).

2.3. Sample Preparation

Artificial saliva (AS) was prepared as described by Ref. [12]. In summary, a solution was prepared by dissolving 0.6 g/L sodium phosphate dibasic, 0.6 g/L anhydrous calcium chloride, 0.4 g/L potassium chloride, 0.4 g/L sodium chloride, 4 g/L mucin, and 4 g/L urea in deionized water. The pH was then adjusted to 7.2 using 1 M sodium hydroxide. Finally, the solution was sterilized by autoclaving and stored at −4 °C until needed.
Appropriate amounts of NT-proBNP stock solution (50 μg/mL) were diluted in AS, obtaining samples with different concentrations (50, 60, 70, 80, 90 pg/mL). A sample containing 76 pg/mL of NT-proBNP was prepared in AS to simulate an unknown sample to be analyzed by performing the standard addition method. A constant volume (50 μL) of the unknown sample was added to each of the four 1 mL volumetric flasks. To achieve a final volume of 1 mL, the first flask (Level 0) was supplemented with 950 μL of AS. An NT-proBNP standard solution (100 pg/mL) was then added in increasing volumes (30, 60, 90 μL), corresponding to the additions of 3 (Level 1), 6 (Level 2), and 9 pg/mL (Level 3) of NT-proBNP to the subsequent flasks, and each flask was then made up to volume (1 mL) with AS.

2.4. Biofunctionalization of Working Electrode

The biosensor platform consists of four gold working electrodes (WEs), two Ag/AgCl reference electrodes (REs), and one platinum counter electrode (CE), as shown in Figure 1A. The device’s development was already described by Ghedir et al. [49]. Before the chemical functionalization, the device was pre-cleaned by sonication for 10 min in acetone, followed by rinsing with ethanol then deionized water, and finally, it was placed into a UV/O3 cleaner for 30 min to remove all organic contaminants. Subsequently, CMA molecules were electrochemically deposited onto gold using the cyclic voltammetry (CV) technique as described in [10,12,38]. Briefly, a 3 mM CMA solution was prepared in water with 1 M HCl and 1 M NaNO2. The device was placed into this solution and eight CV cycles were applied. The potential was scanned from 0.3 V to −1 V vs. Ag/AgCl at a scan rate of 80 mV/s and eight cycles were performed.
After CMA deposition, the biosensor platform was rinsed with a 1% HCl solution. Then, the terminal carboxylic acid (–COOH) groups were activated in an ethanolic solution of NHS/EDC (0.1 M/0.1 M) for 1 h at room temperature (22 ± 2 °C). Subsequently, the WE surface was rinsed with ethanol and promptly immersed in the anti-NT-proBNP solution for 1 h at 4 °C. This step was fundamental because the terminal amine groups on the antibody enable covalent bonding to occur through the activated carboxyl group from CMA functionalized in NHS/EDC. Finally, the WE was rinsed with PBS and the remaining active carboxylic acid groups were deactivated by incubation in ethanolamine solution (0.1% in PBS) for 20 min at 4 °C. This step is crucial in preventing non-specific bonding during the detection stage.

2.5. Electrochemical Measurements

All electrochemical measurements were carried out at room temperature (22 ± 2 °C) in a Faraday box using a VMP3 potentiostat (BioLogic Science Instruments, Seyssinet-Pariset (France)) controlled by EC-Lab software (version 10.40, BioLogic Science Instruments, Seyssinet-Pariset (France)). CV analysis was performed on both bare and functionalized electrodes by immersing the device into a 5 mM K3[Fe(CN)6]/K4[Fe(CN)6] in PBS (10 mM, pH 7.4) solution as a redox couple. After thorough cleaning and functionalization, the WE surface was characterized by CV at 80 mV/s, and the switching potential was scanned between −0.2 and 0.6 V.
EIS measurements were carried out to evaluate the recognition properties of the biosensor platform in terms of sensitivity and selectivity, as well as to perform the quantification of NT-proBNP in both standard solutions and artificial saliva (AS). The EIS measurement was conducted with a potential set at 0.228 V relative to the built-in Ag/AgCl reference electrode, covering a frequency spectrum from 100 mHz to 100 kHz, and employing a modulation voltage of 25 mV [37,38]. The device was then used to detect NT-proBNP within the range of 1 pg/mL to 20 pg/mL in PBS and for the standard addition method in AS. To assess the analyte, the biosensor underwent sequential exposures to standard solutions with varying NT-proBNP concentrations for 30 min at 4 °C, after which it was thoroughly rinsed with PBS. The impedance response was recorded for each concentration by immersing the biosensors in an electron mediator solution of 5mM of K3[Fe(CN)6]/K4[Fe(CN)6] in PBS buffer at pH 7.4. The same procedure of EIS analyses was used for NT-proBNP detection in artificial saliva by performing the standard addition method.

3. Results and Discussion

3.1. Biosensor Biofunctionalization

Before CMA deposition onto the bare gold working electrode (WE), the Fe(II)/Fe(III) redox peaks were clearly visible in the cyclic voltammetry (CV) results. However, these peaks decreased after CMA deposition, as shown in Figure 1B, due to the reduced electron transfer rate caused by the CMA blocking layer. Adequate coverage of the gold WE, which was proportional to the decrease in redox peaks after CMA deposition, was crucial for the biofunctionalization step.

3.2. Biomarker Detection in PBS

The antibody (Ab) bond was then confirmed by performing electrochemical impedance spectroscopy (EIS) on the biofunctionalized working electrodes (WEs) before and after incubation in NT-proBNP standard solutions with increasing concentrations. Figure 2A shows Nyquist plots corresponding to an increase in the charge transfer resistance (Rct) as the concentration of NT-proBNP increased, which was due to the specific interaction between the antibody (Ab) and the antigen (Ag). The first Nyquist plot semicircle was recorded after incubating the functionalized device in a PBS solution in the absence of NT-proBNP to obtain the baseline. The device was then subsequently incubated in NT-proBNP standard solutions with increasing concentrations. The impedance measurements were carried out after the target substance was in equilibrium with the antibody-functionalized surface, in the presence of the redox probe K3[Fe(CN)6]/K4[Fe(CN)6]. Indeed, the electron transfer of the redox probe from the electrolyte to the electrode microelectrodes encountered the resistance of the sensitive layer (NT-proBNP antibodies + NT-proBNP antigen) at equilibrium. The more biomarkers that were present on the surface of the sensitive layer, the more the average thickness of the sensitive layer increased. As the average thickness increased, the charge transfer resistance (Rct) also increased. Since the real part of impedance is related to charge transfer resistance, an increase in Rct leads to a corresponding increase in the real part of the impedance. Therefore, as a biomarker concentration increases, the increase in the real part of the impedance is represented by a Nyquist plot’s semicircular diameter. Insert in Figure 2A illustrates the equivalent electrical circuit used to analyze the Nyquist plots, where Rs represents the resistance of the K3[Fe(CN)6]/K4[Fe(CN)6] redox couple, Rct is the charge transfer resistance, W is the Warburg impedance, and Q1 is the constant phase element, an equivalent model of the double-layer capacitance [50]. A linear relationship between the Rct variation and NT-proBNP concentrations was found in the concentration range from 1 pg/mL to 20 pg/mL, with a correlation coefficient of R2 = 0.98 (sensitivity S: 0.027 (pg/mL)−1). The detection limit, calculated from the formula 3σ/S (s being the background variation and S the sensitivity), was 0.03 pg/mL. The selectivity was investigated by performing the same approach. Standard solutions containing three different heart failure biomarkers, IL-1β, IL-6, and IL-10 [51], were evaluated under identical experimental conditions and within the same concentration range. Figure 2B presents a comparison of the curves obtained for each of these biomarkers against that of the target analyte. The results indicated that our immunosensor exhibited significant selectivity for NT-proBNP, with negligible cross-reactivity toward the other evaluated biomarkers, thereby confirming its specificity. Moreover, our results are supported by other studies that have also demonstrated the absence of significant cross-reactivity between NT-proBNP and various cytokines [52,53]. These studies have confirmed that NT-proBNP is the most reliable and specific biomarker for heart failure diagnosis and monitoring [54,55], emphasizing the importance of our results and the necessity for highly selective detection methods. To the best of our knowledge, only a few studies have utilized electrochemical sensors for NT-proBNP detection at low concentrations. For instance, Pollok et al. [56] reported the detection of NT-proBNP at 0.58 nM in human serum using an electrochemical biosensor based on a metalloimmunoassay on a paper electrode platform.
The analytical performance of this NT-proBNP immunosensor was compared to that of previously published NT-proBNP immunosensors using different methods of detection: electrochemical methods (anodic stripping voltammetry [56], electrochemical impedance spectroscopy on ISFET [52]), photoelectrochemistry [57], electroluminescence [58], SERS [59], and SPR [60] (Table 1). Compared to label-free immunosensors (EIS/ISFET, SPR), the developed sensor presented a lower detection limit. Compared to sandwich immunosensors (ASV, PEC, ECL, SERS), all immunosensors presented a lower detection limit, except the ASV-based immunosensor.

3.3. Biomarker Detection in Human AS

Biosensor sensitivity was also tested in human artificial saliva (AS). Therefore, electrochemical impedance spectroscopy (EIS) measurements were performed after each incubation of the device in human AS not containing NT-proBNP (Figure 3). The first semicircle (black) corresponds to the immobilized anti-NT-proBNP antibody (AbNT-proBNP). After the first incubation in AS, the second (red) Nyquist plot semicircle increased from the first (black), showing a rise in impedance. This corresponds to non-specific adsorption and not to NT-proBNP detection, as there was no NT-proBNP in the solution.
This non-specific adsorption was observed in all measurements performed on saliva samples. After the second, third, and fourth incubations in AS, there was no further increase in impedance and thus no more adsorption (all Nyquist plots were superimposed). Therefore, the first gap was considered constant, as there was no more non-specific adsorption.
Subsequently, the same experiment was repeated by incubating the biosensor in different AS samples with increasing concentrations of the NT-proBNP biomarker. Following each incubation period, the biosensor’s characteristics were assessed using EIS (Figure 4A). A significant shift between the first (black) and the second (red) Nyquist plot semicircles was detected after the first incubation of the biosensor in AS containing 50 pg/mL of NT-proBNP. This change is not solely due to NT-proBNP detection; it may have also been influenced by non-specific adsorption events that were noted in earlier experiments. However, the Nyquist plot semicircles increased with rising concentrations of NT-proBNP, highlighting the detection of NT-proBNP in AS when compared to the previous test. Therefore, the biosensor was able to specifically detect NT-proBNP biomarkers within a complex physiological medium. The sensitivity of the biosensor was calculated using the same equivalent circuit used in the detection in PBS. Figure 4B clearly shows the sensitivity toward NT-proBNP (R2 = 0.97 with a sensitivity of 0.012 (pg/mL)−1). This result confirms the sensitivity of the immunosensor toward NT-proBNP antigens in AS. Nevertheless, the sensitivity in AS was 0.44 times lower than in PBS, even after thorough rinsing with PBS. This point shows the strong adsorption of some AS components, mainly proteins and salts. This strong adsorption would lead to lower values of NT-proBNP concentrations, bringing potential false-negative effects.

3.4. Biomarker Detection in AS Using Standard Addition Method

To mimic the detection of NT-proBNP in an unknown sample, the standard addition method was employed in conjunction with electrochemical impedance spectroscopy (EIS), following the procedure outlined in Section 2.3. As shown in Figure 5A, impedance measurements were carried out after each incubation of the biosensor in Level 1, Level 2, Level 3, and Level 4. Initially, there was a significant jump in the Nyquist plot semicircles (red), followed by a normal increase in the Nyquist plot semicircles with increasing NT-proBNP concentration, implying the detection of the analyte. The equation of the curve obtained by linear data fitting was y = 0.27x + 1.33, with R2 = 0.99 (Figure 5B).
The analyte concentration in the unknown sample was determined by identifying where the extended calibration curve intersected the OX axis (abscissa) [12]. This resulted in a value of 97.6 pg/mL, taking into account the dilution factor. This value is higher than the expected concentration of 76 pg/mL of the unknown sample, which is possibly due to matrix effects [61]. To confirm this result and investigate the matrix effect, this technique (standard addition method) should be applied to a large batch of saliva samples from different patients of various genders to estimate the errors and matrix effects. Moreover, it is advisable to employ a standard method like the enzyme-linked immunosorbent assay (ELISA). This would help estimate the real concentrations of cytokines in saliva after EIS measurements. However, the obtained concentration is consistent with the salivary levels of this cytokine determined in saliva samples from groups of nominally healthy subjects [62,63].

4. Conclusions

In this study, an immunosensor was developed for detecting NT-proBNP, a crucial biomarker for heart failure, in saliva. The biosensor, based on gold working microelectrodes, was biofunctionalized using carboxyl diazonium to immobilize anti-NT-proBNP antibodies, ensuring specific binding and enhanced sensitivity. The immunosensor demonstrated excellent sensitivity in the range of 1 pg/mL to 20 pg/mL, which is clinically relevant for early detection and monitoring of heart failure. Additionally, the sensor showed good selectivity in the presence of other interfering biomarkers such as IL-10, IL-6, and IL-1β, commonly found in biological samples.
Preliminary tests conducted in artificial saliva confirmed the device’s capability to detect NT-proBNP in a complex physiological medium, validating its potential for real-world applications. Future work will focus on extending the analysis to real human saliva samples to thoroughly study the matrix effects and estimate the real concentrations of cytokines more accurately. Overall, this study highlights the potential of the developed immunosensor as a valuable tool for the non-invasive and convenient monitoring of heart failure biomarkers in saliva, offering promising applications in clinical settings for improved diagnosis and management of heart failure.

Author Contributions

Writing—original draft preparation, formal analysis, methodology, and validation, A.B. and E.K.G.; formal analysis and validation, N.Z. and F.B.; validation A.A. and H.N.; formal analysis and supervision, N.J.-R. and A.E.; transducer fabrication, F.P.B. and J.B.; review, editing, and supervision, N.J.-R. All authors have read and agreed to the published version of the manuscript.

Funding

The authors gratefully acknowledge the financial support provided by Campus France through the French-German scientific program (PHC PROCOPE/49540WG), by the European project GREENSMARTMED, and by the Moroccan national project AVENIR-ESEF from the High School of Education and Training El Jadida, Chouaïb Doukkali University, El Jadida, Morocco.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data that support the findings of this study are available from the corresponding author upon reasonable request.

Conflicts of Interest

The authors declare no conflicts of interest.

References

  1. Benjamin, E.J.; Muntner, P.; Alonso, A.; Bittencourt, M.S.; Callaway, C.W.; Carson, A.P.; Chamberlain, A.M.; Chang, A.R.; Cheng, S.; Das, S.R.; et al. Heart disease and stroke Statistics-2019 update a report from the American Heart Association. Circulation 2019, 139, e56–e528. [Google Scholar] [CrossRef]
  2. Lloyd-Jones, D.M.; Larson, M.G.; Leip, E.P.; Beiser, A.; D’agostino, R.B.; Kannel, W.B.; Murabito, M.J.; Vasan, R.S.; Benjamin, E.J.; Levy, D. Lifetime risk for developing congestive heart failure: The Framingham Heart Study. Circulation 2002, 106, 3068–3072. [Google Scholar] [CrossRef] [PubMed]
  3. Kimmoun, A.; Takagi, K.; Gall, E.; Ishihara, S.; Hammoum, P.; El Bèze, N.; Bourgeois, A.; Chassard, G.; Pegorer-Sfes, H.; Gayat, E.; et al. Temporal trends in mortality and readmission after acute heart failure: A systematic review and meta-regression in the past four decades. Eur. J. Heart Fail. 2021, 23, 420–431. [Google Scholar] [CrossRef]
  4. Boyd, K.J.; Murray, S.A.; Kendall, M.; Worth, A.; Frederick, B.T.; Clausen, H. Living with advanced heart failure: A prospective, community based study of patients and their carers. Eur. J. Heart Fail. 2004, 6, 585–591. [Google Scholar] [CrossRef]
  5. Arora, N.P.; Ghali, J.K. Iron deficiency anemia in heart failure. Heart Fail. Rev. 2013, 18, 485–501. [Google Scholar] [CrossRef] [PubMed]
  6. Rudiger, A.; Harjola, V.P.; Müller, A.; Mattila, E.; Säila, P.; Nieminen, M.; Follath, F. Acute heart failure: Clinical presentation, one-year mortality and prognostic factors. Eur. J. Heart Fail. 2005, 7, 662–670. [Google Scholar] [CrossRef] [PubMed]
  7. Schwinger, R.H.G. Pathophysiology of heart failure. Cardiovasc. Diagn. Ther. 2021, 11, 263–276. [Google Scholar] [CrossRef]
  8. Mosterd, A.; Hoes, A.W. Clinical epidemiology of heart failure. Heart 2007, 93, 1137–1146. [Google Scholar] [CrossRef] [PubMed]
  9. Remes, J.; Miettinen, H.; Reunanen, A.; Pyörälä, K. Validity of clinical diagnosis of heart failure in primary health care. Eur. Heart J. 1991, 12, 315–321. [Google Scholar] [CrossRef]
  10. Baraket, A.; Lee, M.; Zine, N.; Yaakoubi, N.; Trivella, M.G.; Zabala, M.; Bausells, J.R.; Renault, N.J.; Errachid, A. Cytokine Detection using Diazonium Modified Gold Microelectrodes Onto Polyimide Substrates with Integrated Ag/AgCl Reference Electrode. Procedia Eng. 2012, 47, 1181–1184. [Google Scholar] [CrossRef]
  11. Baraket, A.; Lee, M.; Zine, N.; Sigaud, M.; Yaakoubi, N.; Trivella, M.G.; Errachid, A. Diazonium modified gold microelectrodes onto polyimide substrates for impedimetric cytokine detection with an integrated Ag/AgCl reference electrode. Sens. Actuators B Chem. 2013, 189, 165–172. [Google Scholar] [CrossRef]
  12. Bellagambi, F.G.; Baraket, A.; Longo, A.; Vatteroni, M.; Zine, N.; Bausells, J.; Errachid, A. Electrochemical biosensor platform for TNF-α cytokines detection in both artificial and human saliva: Heart failure. Sens. Actuators B Chem. 2017, 251, 1026–1033. [Google Scholar] [CrossRef]
  13. Nishio, T.; Nakamura, M.; Okamoto, H.; Kito, S.; Minemura, T.; Ozawa, S.; Kumazaki, Y.; Ishikawa, M.; Tohyama, N.; Kurooka, M.; et al. An overview of the medical-physics-related verification system for radiotherapy multicenter clinical trials by the Medical Physics Working Group in the Japan Clinical Oncology Group-Radiation Therapy Study Group. J. Radiat. Res. 2020, 61, 999–1008. [Google Scholar] [CrossRef]
  14. Rigatto, C.; Barrett, B.J. Biomarkers and surrogates in clinical studies. Methods Mol. Biol. 2009, 473, 137–154. [Google Scholar] [CrossRef]
  15. Vasan, R.S. Biomarkers of cardiovascular disease: Molecular basis and practical considerations. Circulation 2006, 113, 2335–2362. [Google Scholar] [CrossRef] [PubMed]
  16. Braunwald, E. Biomarkers in heart failure. N. Engl. J. Med. 2008, 358, 2148–2159. [Google Scholar] [CrossRef] [PubMed]
  17. Gaggin, H.K.; Januzzi, J.L., Jr. Biomarkers and diagnostics in heart failure. Biochim. Biophys. Acta 2013, 1832, 2442–2450. [Google Scholar] [CrossRef]
  18. Ouyang, M.; Tu, D.; Tong, L.; Sarwar, M.; Bhimaraj, A.; Li, C.; Coté, G.L.; Di Carlo, D. A review of biosensor technologies for blood biomarkers toward monitoring cardiovascular diseases at the point-of-care. Biosens. Bioelectron. 2021, 171, 112621. [Google Scholar] [CrossRef]
  19. Dickstein, K.; Cohen-Solal, A.; Filippatos, G.; McMurray, J.J.; Ponikowski, P.; Poole-Wilson, P.A.; Strömberg, A.; van Veldhuisen, D.J.; Atar, D.; Hoes, A.W.; et al. ESC Committee for Practice Guidelines (CPG). ESC Guidelines for the diagnosis and treatment of acute and chronic heart failure 2008: The Task Force for the Diagnosis and Treatment of Acute and Chronic Heart Failure 2008 of the European Society of Cardiology. Developed in collaboration with the Heart Failure Association of the ESC (HFA) and endorsed by the European Society of Intensive Care Medicine (ESICM). Eur. Heart J. 2008, 29, 2388–2442. [Google Scholar] [CrossRef]
  20. Palazzuoli, A.; Gallotta, M.; Quatrini, I.; Nuti, R. Natriuretic peptides (BNP and NT-proBNP): Measurement and relevance in heart failure. Vasc. Health Risk Manag. 2010, 6, 411–418. [Google Scholar] [CrossRef]
  21. Staszewsky, L.; Meessen, J.M.T.A.; Novelli, D.; Wienhues-Thelen, U.H.; Disertori, M.; Maggioni, A.P.; Masson, S.; Tognoni, G.; Franzosi, M.G.; Lucci, D.; et al. Total NT-proBNP, a novel biomarker related to recurrent atrial fibrillation. BMC Cardiovasc. Disord. 2021, 21, 553. [Google Scholar] [CrossRef]
  22. Maisel, A.S.; Krishnaswamy, P.; Nowak, R.M.; McCord, J.; Hollander, J.E.; Duc, P.; Omland, T.; Storrow, A.B.; Abraham, W.T.; Wu, A.H.; et al. Breathing Not Properly Multinational Study Investigators Rapid measurement of B-type natriuretic peptide in the emergency diagnosis of heart failure. N. Engl. J. Med. 2002, 347, 161–167. [Google Scholar] [CrossRef]
  23. Goryacheva, O.A.; Ponomaryova, T.D.; Drozd, D.D.; Kokorina, A.A.; Rusanova, T.Y.; Mishra, P.K.; Goryacheva, I.Y. Heart failure biomarkers BNP and NT-proBNP detection using optical labels. TrAC Trends Anal. Chem. 2022, 146, 116477. [Google Scholar] [CrossRef]
  24. Ibrahim, N.; Januzzi, J.L. The potential role of natriuretic peptides and other biomarkers in heart failure diagnosis, prognosis and management. Expert. Rev. Cardiovasc. Ther. 2015, 13, 1017–1030. [Google Scholar] [CrossRef]
  25. Moayedi, Y.; Etchells, E.; Kobulnik, J.; Ross, H. Brain natriuretic peptide and shortness of breath in the emergency department. Can. Med. Assoc. J. 2018, 190, E1361–E1363. [Google Scholar] [CrossRef]
  26. Seino, Y.; Ogawa, A.; Yamashita, T.; Fukushima, M.; Ogata, K.; Fukumoto, H.; Takano, T. Application of NT-proBNP and BNP measurements in cardiac care: A more discerning marker for the detection and evaluation of heart failure. Eur. J. Heart Fail. 2004, 6, 295–300. [Google Scholar] [CrossRef]
  27. Clerico, A.; Prontera, C.; Emdin, M.; Passino, C.; Storti, S.; Poletti, R.; Zyw, L.; Zucchelli, G.C. Analytical performance and diagnostic accuracy of immunometric assays for the measurement of plasma B-type natriuretic peptide (BNP) and N-terminal proBNP. Clin. Chem. 2005, 51, 445–447. [Google Scholar] [CrossRef]
  28. Januzzi, J.L.; van Kimmenade, R.; Lainchbury, J.; Bayes-Genis, A.; Ordonez-Llanos, J.; Santalo-Bel, M.; Pinto, Y.M.; Richards, M. NT-proBNP testing for diagnosis and short-term prognosis in acute destabilized heart failure: An international pooled analysis of 1256 patients: The International Collaborative of NT-proBNP Study. Eur. Heart J. 2006, 27, 330–337. [Google Scholar] [CrossRef]
  29. Vasile, V.C.; Jaffe, A.S. Natriuretic Peptides and Analytical Barriers. Clin. Chem. 2017, 63, 50–58. [Google Scholar] [CrossRef] [PubMed]
  30. Lewis, L.K.; Raudsepp, S.D.; Yandle, T.G.; Frampton, C.M.; Palmer, S.C.; Troughton, R.W.; Richards, A.M. Comparison of immunoassays for NTproBNP conducted on three analysis systems: Milliplex, Elecsys and RIA. Clin. Biochem. 2013, 46, 388–390. [Google Scholar] [CrossRef]
  31. Li, H.; Yin, X.; Sun, D.; Xia, K.; Kang, C.; Chu, S.; Qiu, Y. Detection of NT-pro BNP using fluorescent protein modified by streptavidin as a label in immunochromatographic assay. Sens. Biosens. Res. 2016, 11, 1–7. [Google Scholar] [CrossRef]
  32. Togashi, K.; Ando, K.; Kameya, T.; Kawakami, M. A specific and highly sensitive radioimmunoassay of human brain natriuretic peptide. Rinsho Byori 1991, 39, 283–288. [Google Scholar] [PubMed]
  33. Masson, S.; Vago, T.; Baldi, G.; Salio, M.; De Angelis, N.; Nicolis, E.; Maggioni, A.P.; Latini, R.; Norbiato, G.; Bevilacqua, M. Comparative measurement of N-terminal pro-brain natriuretic peptide and brain natriuretic peptide in ambulatory patients with heart failure. Clin. Chem. Lab. Med. 2002, 40, 761–763. [Google Scholar] [CrossRef] [PubMed]
  34. Hammerer-Lercher, A.; Halfinger, B.; Sarg, B.; Mair, J.; Puschendorf, B.; Griesmacher, A.; Guzman, N.A.; Lindner, H.H. Analysis of circulating forms of proBNP and NT-proBNP in patients with severe heart failure. Clin. Chem. 2008, 54, 858–865. [Google Scholar] [CrossRef]
  35. Berna, M.; Ott, L.; Engle, S.; Watson, D.; Solter, P.; Ackermann, B. Quantification of NTproBNP in rat serum using immunoprecipitation and LC/MS/MS: A biomarker of drug-induced cardiac hypertrophy. Anal. Chem. 2008, 80, 561–566. [Google Scholar] [CrossRef]
  36. Lee, M.; Baraket, A.; Zine, N.; Zabala, M.; Campabadal, F.; Caruso, R.; Trivella, M.G.; Jaffrezic-Renault, N.; Errachid, A. A novel three-dimensional biosensor based on aluminum oxide: Application for early-stage detection of human interleukin-10. Methods Mol. Boil. 2014, 1172, 49–64. [Google Scholar] [CrossRef]
  37. Baraket, A.; Lee, M.; Zine, N.; Sigaud, M.; Bausells, J.; Errachid, A. A fully integrated electrochemical biosensor platform fabrication process for cytokines detection. Biosens. Bioelectron. 2017, 93, 170–175. [Google Scholar] [CrossRef] [PubMed]
  38. Barhoumi, L.; Baraket, A.; Bellagambi, F.G.; Karanasiou, G.S.; Ali, M.B.; Fotiadis, D.I.; Errachid, A. A novel chronoamperometric immunosensor for rapid detection of TNF-α in human saliva. Sens. Actuators B Chem. 2018, 266, 477–484. [Google Scholar] [CrossRef]
  39. Bellagambi, F.G.; Degano, I.; Ghimenti, S.; Lomonaco, T.; Dini, V.; Romanelli, M.; Di Francesco, F. Determination of salivary α-amylase and cortisol in psoriatic subjects undergoing the Trier Social Stress Test. Microchem. J. 2018, 136, 177–184. [Google Scholar] [CrossRef]
  40. Lomonaco, T.; Ghimenti, S.; Biagini, D.; Bramanti, E.; Onor, M.; Bellagambi, F.G.; Di Francesco, F. The effect of sampling procedures on the urate and lactate concentration in oral fluid. Microchem. J. 2018, 136, 255–262. [Google Scholar] [CrossRef]
  41. Bartekova, M.; Radosinska, J.; Jelemensky, M.; Dhalla, N.S. Role of cytokines and inflammation in heart function during health and disease. Heart Fail. Rev. 2018, 23, 733–758. [Google Scholar] [CrossRef] [PubMed]
  42. Castiglione, V.; Aimo, A.; Vergaro, G.; Saccaro, L.; Passino, C.; Emdin, M. Biomarkers for the diagnosis and management of heart failure. Heart Fail. Rev. 2022, 27, 625–643. [Google Scholar] [CrossRef] [PubMed]
  43. Ortiz-Martínez, M.; González-González, M.; Martagón, A.J.; Hlavinka, V.; Willson, R.C.; Rito-Palomares, M. Recent developments in biomarkers for diagnosis and screening of type 2 diabetes mellitus, Curr. Diab. Rep. 2022, 22, 95–115. [Google Scholar] [CrossRef] [PubMed]
  44. Umapathy, V.R.; Natarajan, P.M.; Swamikannu, B.; Moses, J.; Jones, S.; Chandran, M.P.; Anbumozhi, M.K. Emerging biosensors for oral cancer detection and diagnosis—A review unravelling their role in past and present advancements in the field of early diagnosis. Biosensors 2022, 12, 498. [Google Scholar] [CrossRef]
  45. Bellagambi, F.G.; Petersen, C.; Salvo, P.; Ghimenti, S.; Franzini, M.; Biagini, D.; Hangouët, M.; Trivella, M.G.; Di Francesco, F.; Paolicchi, A.; et al. Determination and stability of N-terminal pro-brain natriuretic peptide in saliva samples for monitoring heart failure. Sci. Rep. 2021, 11, 13088. [Google Scholar] [CrossRef] [PubMed]
  46. Bahbah, E.I.; Noehammer, C.; Pulverer, W.; Jung, M.; Weinhaeusel, A. Salivary biomarkers in cardiovascular disease: An insight into the current evidence. FEBS J. 2021, 288, 6392–6405. [Google Scholar] [CrossRef] [PubMed]
  47. Bozkurt, B. Activation of cytokines as a mechanism of disease progression in heart failure. Ann. Rheum. Dis. 2000, 59 (Suppl. 1), i90–i93. [Google Scholar] [CrossRef]
  48. Tamariz, L.; Hare, J.M. Inflammatory cytokines in heart failure: Roles in aetiology and utility as biomarkers. Eur. Heart J. 2010, 31, 768–770. [Google Scholar] [CrossRef]
  49. Ghedir, E.; Baraket, A.; Kouchar, S.; Rabai, S.; Benounis, M.; Alcacer, A.; Streklas, A.; Bausells, J.; Zine, N.; Jaffrezic, N.; et al. Electrochemical Immunosensor for NT-proBNP Detection in Artificial Human Saliva: Heart Failure Biomedical Application. Proceedings 2018, 2, 1085. [Google Scholar] [CrossRef]
  50. Baraket, A.; Lee, M.; Zine, N.; Yaakoubi, N.; Bausells, J.; Errachid, A. A flexible electrochemical micro lab-on-chip: Application to the detection of interleukin-10. Microchim. Acta 2016, 183, 2155–2162. [Google Scholar] [CrossRef]
  51. Monea, A.; Gruber, R.; Elod, N.; Beresescu, G.; Moldovn, C.; Monea, M. Saliva and serum levels of TNF-alpha and IL-6 in a sample of Romanian adult subjects with Type 2 diabetes mellitus and periodontal disease. Eur. Sci. J. 2014, 10, 350–359. [Google Scholar]
  52. Liu, C.; Chu, D.; Kalantar-Zadeh, K.; George, J.; Young, H.A.; Liu, G. Cytokines: From clinical significance to quantification. Adv. Sci. 2021, 8, 2004433. [Google Scholar] [CrossRef]
  53. Halima, H.B.; Bellagambi, F.G.; Hangouët, M.; Alcacer, A.; Pfeiffer, N.; Heuberger, A.; Zine, N.; Bauslls, J.; Elaissari, A.; Errachid, A. A novel electrochemical strategy for NT-proBNP detection using IMFET for monitoring heart failure by saliva analysis. Talanta 2023, 251, 123759. [Google Scholar] [CrossRef] [PubMed]
  54. Karachaliou, C.-E.; Koukouvinos, G.; Goustouridis, D.; Raptis, I.; Kakabakos, S.; Petrou, P.; Livaniou, E. Cortisol Immunosensors: A Literature Review. Biosensors 2023, 13, 285. [Google Scholar] [CrossRef] [PubMed]
  55. Meijers, W.C.; Bayes-Genis, A.; Mebazaa, A.; Bauersachs, J.; Cleland, J.G.; Coats, A.J.; Januzzi, J.L.; Maisel, A.S.; McDonald, K.; Mueller, T.; et al. Circulating heart failure biomarkers beyond natriuretic peptides: Review from the Biomarker Study Group of the Heart Failure Association (HFA), European Society of Cardiology (ESC). Eur. J. Heart Fail. 2021, 23, 1610–1632. [Google Scholar] [CrossRef]
  56. Pollok, N.E.; Rabin, C.; Walgama, C.T.; Smith, L.; Richards, I.; Crooks, R.M. Electrochemical detection of NT-proBNP using a metallo-immunoassay on a paper electrode platform. ACS Sens. 2020, 5, 853–860. [Google Scholar] [CrossRef]
  57. Qian, Y.; Feng, J.; Fan, D.; Zhang, Y.; Kuang, X.; Wang, H.; Wei, Q.; Ju, H. A sandwich-type photoelectrochemical immunosensor for NT-pro BNP detection based on F-Bi2WO6/Ag2S and GO/PDA for signal amplification. Biosens. Bioelectron. 2019, 131, 299–306. [Google Scholar] [CrossRef]
  58. Zhao, Y.; Li, L.; Hu, L.; Zhang, Y.; Wu, D.; Ma, H.; Wei, Q. An electrochemiluminescence immunosensor for the N-terminal brain natriuretic peptide based on the high quenching ability of polydopamine. Microchim. Acta 2019, 186, 606. [Google Scholar] [CrossRef]
  59. He, Y.; Wang, Y.; Yang, X.; Xie, S.; Yuan, R.; Chai, Y. Metal organic frameworks combining CoFe2O4 magnetic nanoparticles as highly efficient SERS sensing platform for ultrasensitive detection of N-terminal pro-brain natriuretic peptide. ACS Appl. Mater. Interfaces 2016, 8, 7683–7690. [Google Scholar] [CrossRef]
  60. Harpaz, D.; Koh, B.; Seet, R.C.; Abdulhalim, I.; Tok, A.I. Functionalized silicon dioxide self-referenced plasmonic chip as point-of-care biosensor for stroke biomarkers NT-proBNP and S100β. Talanta 2020, 212, 120792. [Google Scholar] [CrossRef] [PubMed]
  61. Baraket, A.; Lee, M.; Zine, N.; Caruso, R.; Trivella, M.G.; Errachid, A. Electrochemical Biosensor for Interleukin-10 Detection in Real Human Plasma Patients: Heart Failure Biomedical Application. Int. J. Cardiovasc. Res. 2017, 6, 1. [Google Scholar] [CrossRef]
  62. Saheb Jamee, M.; Eslami, M.; AtarbashiMoghadam, F.; Sarafnejad, A. Salivary concentration of TNFalpha, IL1 alpha, IL6, and IL8 in oral squamous cell carcinoma. Med. Oral Patol. Oral Cir. Bucal 2008, 13, E292–E295. [Google Scholar] [PubMed]
  63. Varghese, S.S.; Thomas, H.; Jayakumar, N.D.; Sankari, M.; Lakshmanan, R. Estimation of salivary tumor necrosis factor-alpha in chronic and aggressive periodontitis patients. Contemp. Clin. Dent. 2015, 6 (Suppl. 1), S152–S156. [Google Scholar] [CrossRef] [PubMed]
Figure 1. (A) Chip containing four Au-WEs, Ag/AgCl-RE, and Pt-CE. (B) Cyclic voltammograms of gold WE before (black) and after (red) CMA deposition.
Figure 1. (A) Chip containing four Au-WEs, Ag/AgCl-RE, and Pt-CE. (B) Cyclic voltammograms of gold WE before (black) and after (red) CMA deposition.
Chemosensors 13 00066 g001
Figure 2. (A) Nyquist plot impedance (Zr vs. Zi: at 5mM of K3[Fe(CN)6]/K4[Fe(CN)6] in PBS pH 7.4 solution) at various NT-proBNP concentrations. (B) Sensitivity of the biosensor functionalized with AbNT-proBNP for the detection of AgNT-proBNP and the IL-10, IL-1β, and IL-6 cytokines.
Figure 2. (A) Nyquist plot impedance (Zr vs. Zi: at 5mM of K3[Fe(CN)6]/K4[Fe(CN)6] in PBS pH 7.4 solution) at various NT-proBNP concentrations. (B) Sensitivity of the biosensor functionalized with AbNT-proBNP for the detection of AgNT-proBNP and the IL-10, IL-1β, and IL-6 cytokines.
Chemosensors 13 00066 g002
Figure 3. EIS analyses of the biosensor after several incubations in artificial saliva.
Figure 3. EIS analyses of the biosensor after several incubations in artificial saliva.
Chemosensors 13 00066 g003
Figure 4. (A) EIS analyses of the biosensor after several incubations in artificial saliva spiked with different NT-proBNP concentrations (50–90 pg/mL). (B) Sensitivity curves of the biosensor functionalized with AbNT-proBNP for the detection of AgNT-proBNP in artificial saliva.
Figure 4. (A) EIS analyses of the biosensor after several incubations in artificial saliva spiked with different NT-proBNP concentrations (50–90 pg/mL). (B) Sensitivity curves of the biosensor functionalized with AbNT-proBNP for the detection of AgNT-proBNP in artificial saliva.
Chemosensors 13 00066 g004
Figure 5. (A) Nyquist impedance plots (Zr vs. Zi: at 5 mM of K3[Fe(CN)6]/K4[Fe(CN)6] in PBS pH 7,4 solution) obtained from the standard addition method performed on artificial saliva, 0 pg/mL (corresponding to Level 1), 3 pg/mL (corresponding to Level 2), 6 pg/mL (corresponding to Level 3), and 9 pg/mL (corresponding to Level 4). (B) Sensitivity curve used to calculate the concentration of the analyte in the unknown sample by the standard addition method.
Figure 5. (A) Nyquist impedance plots (Zr vs. Zi: at 5 mM of K3[Fe(CN)6]/K4[Fe(CN)6] in PBS pH 7,4 solution) obtained from the standard addition method performed on artificial saliva, 0 pg/mL (corresponding to Level 1), 3 pg/mL (corresponding to Level 2), 6 pg/mL (corresponding to Level 3), and 9 pg/mL (corresponding to Level 4). (B) Sensitivity curve used to calculate the concentration of the analyte in the unknown sample by the standard addition method.
Chemosensors 13 00066 g005
Table 1. Comparative analytical performances of various immunosensors for NT-ProBNP detection.
Table 1. Comparative analytical performances of various immunosensors for NT-ProBNP detection.
MethodRecognition ElementLinear RangeLODRef.
Anodic stripping voltammetrySandwich immunodetection0.58–2.33 nM0.58 nM[56]
Electrochemical impedance spectroscopy on ISFETLabel-free immunodetection0–50 pg/mL1 pg/mL[53]
Photoelectrochemistry
F-Bi2WO6/Ag2S/ITO
Sandwich immunodetection0.1pg/mL–
100 ng/mL
0.03 pg/mL[57]
Electrochemiluminescence TiO2@CN-AuSandwich
immunodetection
0.0001∼10 ng/mL0.05 pg/mL[58]
SERS
CoFe2O4@AuNPs
Sandwich
immunodetection
1 fg/mL–1 ng/mL0.75 fg/mL[59]
SPR
SiO2/Ag
Label-free immunodetection0–10 ng/mL1 ng/mL[60]
Electrochemical impedance spectroscopyLabel-free immunodetection0–20 pg/mL0.3 pg/mLThis work
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content.

Share and Cite

MDPI and ACS Style

Baraket, A.; Ghedir, E.K.; Zine, N.; Jaffrezic-Renault, N.; Aarfane, A.; Nasrellah, H.; Belhora, F.; Bonet, F.P.; Bausells, J.; Errachid, A. Electrochemical Immunosensor Prototype for N-Terminal Natriuretic Peptide Detection in Human Saliva: Heart Failure Biomedical Application. Chemosensors 2025, 13, 66. https://doi.org/10.3390/chemosensors13020066

AMA Style

Baraket A, Ghedir EK, Zine N, Jaffrezic-Renault N, Aarfane A, Nasrellah H, Belhora F, Bonet FP, Bausells J, Errachid A. Electrochemical Immunosensor Prototype for N-Terminal Natriuretic Peptide Detection in Human Saliva: Heart Failure Biomedical Application. Chemosensors. 2025; 13(2):66. https://doi.org/10.3390/chemosensors13020066

Chicago/Turabian Style

Baraket, Abdoullatif, El Kahina Ghedir, Nadia Zine, Nicole Jaffrezic-Renault, Abdellatif Aarfane, Hamid Nasrellah, Fouad Belhora, Francisco Palacio Bonet, Joan Bausells, and Abdelhamid Errachid. 2025. "Electrochemical Immunosensor Prototype for N-Terminal Natriuretic Peptide Detection in Human Saliva: Heart Failure Biomedical Application" Chemosensors 13, no. 2: 66. https://doi.org/10.3390/chemosensors13020066

APA Style

Baraket, A., Ghedir, E. K., Zine, N., Jaffrezic-Renault, N., Aarfane, A., Nasrellah, H., Belhora, F., Bonet, F. P., Bausells, J., & Errachid, A. (2025). Electrochemical Immunosensor Prototype for N-Terminal Natriuretic Peptide Detection in Human Saliva: Heart Failure Biomedical Application. Chemosensors, 13(2), 66. https://doi.org/10.3390/chemosensors13020066

Note that from the first issue of 2016, this journal uses article numbers instead of page numbers. See further details here.

Article Metrics

Back to TopTop