Next Article in Journal
Digital Dental Triage and Access to Care: A Qualitative Study of Experiences in a Teaching Hospital
Previous Article in Journal
Human Enamel Formation: A Scoping Review for Oral Health Professionals
 
 
Font Type:
Arial Georgia Verdana
Font Size:
Aa Aa Aa
Line Spacing:
Column Width:
Background:
Article

Development of a Quantitative Detection System for Porphyromonas gingivalis Based on Immunochromatography

1
Division of Infections and Molecular Biology, Department of Advanced Pathophysiological Science, School of Dentistry, Kyushu Dental University, Kitakyushu 803-8580, Japan
2
Oral Medicine Innovation Center, Kyushu Dental University, Kitakyushu 803-8580, Japan
3
Division of Periodontology, Department of Oral Function, School of Dentistry, Kyushu Dental University, Kitakyushu 803-8580, Japan
4
Division of Periodontology, School of Dentistry, Ohu University, Koriyama 963-8041, Japan
5
Periodontal Medicine Center, Kitakyushu 806-0021, Japan
6
Division of Dental Public Health, Department of Oral Health Science, Graduate School of Dental Medicine, Hokkaido University, Sapporo 060-8586, Japan
*
Author to whom correspondence should be addressed.
Dent. J. 2026, 14(7), 422; https://doi.org/10.3390/dj14070422
Submission received: 3 April 2026 / Revised: 14 June 2026 / Accepted: 18 June 2026 / Published: 9 July 2026

Abstract

Background: Porphyromonas gingivalis is the principal bacterial species implicated in the pathogenesis of periodontitis. Despite its central role, direct detection of periodontopathic bacteria is not routinely performed in dental clinics. Although test kits using monoclonal antibodies against P. gingivalis have been reported, no practical chairside method has yet been established. Objectives: In this study, we developed an immunochromatography system that enables rapid and quantitative detection of P. gingivalis within 10 min. Methods: We evaluated the performance of the developed immunochromatography system and its dedicated measurement reader. Results: The kit demonstrated a minimum detection limit of 2.6 × 104 CFU/mL and maintained detection capability across fimbrial types I and II. The dedicated reader showed strong correlations with a reference reader (R2 = 0.9921) and visual color chart evaluation (R2 = 0.9347). High intra- and inter-device precision was observed, with coefficients of variation less than 0.6%. Although the presence of 2% whole blood interfered with visual interpretation, other oral substances, including toothpastes and mouthwashes, did not significantly affect the assay performance. Conclusions: Collectively, these findings indicate that the developed system may serve as a rapid and reliable chairside tool for quantitative detection of P. gingivalis, with potential utility in the diagnosis and management of periodontitis and related systemic conditions.

Graphical Abstract

1. Introduction

Periodontal diseases, excluding non-plaque-induced gingival diseases, are chronic infectious conditions characterized by inflammatory destruction of the alveolar bone and connective tissues caused by periodontopathic bacteria [1]. Poor oral hygiene conditions aid the adhesion of bacteria, primarily Streptococcus species, which adhere to the tooth surfaces, leading to dental plaque formation [2]. Progressive accumulation of dental plaque promotes the production of extracellular polysaccharides by co-aggregating bacteria, leading to the formation of biofilms. Dental plaque initially induces gingivitis, which can extend to the alveolar bone and progress to periodontitis.
The estimated prevalence of periodontitis in Japan is 49.4% [3]. It is a major cause of tooth loss in adults [4], resulting in impaired oral function and reduced quality of life [5,6]. Among the numerous bacterial species implicated in the pathogenesis of periodontitis, three species collectively known as the Red Complex, Porphyromonas gingivalis, Treponema denticola, and Tannerella forsythia, are strongly associated with periodontitis, as well as with various systemic diseases, including cardiovascular disease [7], diabetes [8] and Alzheimer’s disease [9].
In particular, P. gingivalis has been suggested to not only possess various virulence factors—such as lipopolysaccharide (LPS), fimbriae, and gingipain [10]—but also disrupt the oral immune homeostasis essential for maintaining oral health, thereby impairing host immune functions and promoting dysbiosis [11,12]. Therefore, the detection and monitoring of P. gingivalis are clinically crucial for determining periodontal treatment strategies and preventing the progression of periodontitis. In fact, P. gingivalis is frequently detected in subgingival plaque [13] and gingival crevicular fluid (GCF) [14] from patients with chronic periodontitis.
Current periodontal examinations in dental clinics and large-scale epidemiological studies primarily assess clinical parameters, including periodontal pocket depth, gingival index, and attachment level [15]; however, direct detection of periodontopathic bacteria is not routinely performed. Gene amplification-based methods such as polymerase chain reaction (PCR) [13,16] and isothermal amplification and lateral flow strip methods [14] have been developed and applied for bacteriological testing [16]. However, these tests are expensive for routine clinical screening. Although the development of test kits using monoclonal antibodies against P. gingivalis has been described, no practical chairside method has yet been reported. The development of a rapid chairside detection system for periodontopathic bacteria could facilitate more accurate diagnosis of periodontitis and enable the appropriate use of antibiotics, which would be of considerable clinical importance, particularly in the context of periodontitis-systemic disease interactions.
Immunochromatography (IC) tests are techniques that detect target analyses through specific antigen–antibody binding as the sample migrates along a membrane [17]. These tests offer several advantages, including operational simplicity, rapid assay time, long-term stability, and low cost [18]. Accordingly, IC techniques have been widely applied in the diagnosis of infectious diseases, such as influenza virus infection [19] and Mycoplasma pneumoniae infection [17].
In this study, we aimed to develop a rapid and practical IC test kit (ADTEC, Oita, Japan) for the detection of P. gingivalis, a key periodontopathic bacterium. Although the IC test yields results within 10 min, visual interpretation based on color development is inherently quantitative. Therefore, we additionally developed a dedicated reader system that enables quantitative measurement of the signal obtained from the IC kit. This integrated IC kit–reader system is expected to facilitate accurate, rapid, and reproducible chairside detection of P. gingivalis, thereby enhancing the diagnosis and monitoring of periodontitis and supporting broader investigations into its association with systemic diseases.

2. Materials and Methods

2.1. Preparation of Bacterial Suspensions for Evaluation

P. gingivalis (JCM12257 and JCM19600), obtained from the RIKEN BioResource Research Center Microbe Division (Ibaraki, Japan), was inoculated into bouillon medium and incubated anaerobically at 37 °C for 24 h using AnaeroPak® Kenki (Mitsubishi Gas Chemical Company, Tokyo, Japan) to obtain an initial bacterial suspension (1.0 × 107 CFU/mL). The bouillon medium was prepared by dissolving 3.0 g of trypticase soy broth, 0.5 g of yeast extract, 0.05 g of L-cysteine hydrochloride, 0.1 mL of hemin solution, and 0.02 mL of vitamin K1 solution in 100 mL of distilled water, followed by sterilization via autoclaving at 121 °C for 15 min. The hemin solution was prepared by dissolving 0.005 g of hemin and 0.0174 g of potassium hydrogen phosphate in 1 mL of distilled water. After anaerobic incubation, the bouillon culture was serially diluted 10-fold with sterile saline and plated onto Center for Disease Control (CDC) 5% sheep blood agar for anaerobes (Becton Dickinson and Company, Franklin Lakes, NJ, USA). The plates were incubated anaerobically at 37 °C for 48 h, and colony-forming units were counted. Based on these counts, the bacterial suspension was adjusted to a final concentration of 2.6 × 108 colony-forming unit (CFU)/mL and stored at −80 °C until use).

2.2. Preparation of the IC Kit

The IC kits consisted of a test cassette and specimen extraction solution. The test strips housed within the cassette were assembled using a nitrocellulose membrane, a sample pad (ADTEC), an absorbent pad (ADTEC), and a conjugate pad (ADTEC). Notably, these sample pads and the gold colloids were developed in-house specifically for this kit. The assembled test strips measured 68 mm in length and 6 mm in width. The membrane, composed of a microporous material with capillary properties, enabled lateral flow of the sample upon application. Specific monoclonal antibodies against P. gingivalis were obtained and purified from hybridoma cell lines using Protein G affinity chromatography (capture antibody; 1.45 mg/mL and detect antibody; 1.14 mg/mL). Sodium dodecyl sulfate–polyacrylamide gel electrophoresis (SDS-PAGE) confirmed that the purity of the antibodies was sufficient for use in the IC kit (Supplementary Figure S1). The membrane was coated with a capture antibody specific for P. gingivalis (ADTEC). A gold colloid-labeled antibody for P. gingivalis (ADTEC), was immobilized onto glass fiber (ADTEC), dried, and used as the conjugate pad. The test strips were then assembled into plastic cassette and used for subsequent experiments. The specimen extraction solution was prepared by dissolving 1% Triton X-100 (Sigma-Aldrich, St. Louis, MO, USA) in 10% phosphate-buffered saline (PBS) and clarifying it through a 0.45 μm filter (Sartorius AG, Göttingen, Germany) to remove fine particles and insoluble aggregates (Figure 1).

2.3. Protocol for Detection of P. gingivalis Using the IC Kit

For detection, 100 µL of the bacterial suspensions for evaluation, which were prepared at various concentrations with the sample extract (1% Triton X-100, 10% PBS), was applied to the sample drop region of the test card. After incubation for 10 min at room temperature, the presence of red lines in the test [Test] and control [Control] regions was visually examined. According to the acceptance criteria, a positive result was defined as the presence of a visible red line in the Test region and was considered indicative of reactivity. The lowest bacterial concentration at which a visible test line was detected among the serially diluted samples was identified and defined as the minimum detection limit for this strain using the IC kit. In establishing the protocol, we optimized the combination and concentrations of the capture and gold colloid-labeled detection antibodies, the blocking and buffer compositions, and the selection of the nitrocellulose membrane to maximize the signal-to-noise ratio, minimize background noise, and achieve the optimal maximum detection limit.

2.4. Cross-Reactivity Test

Bacterial strains were sourced from the ATCC (Manassas, VA, USA), the NITE Biological Resource Center (NBRC, Chiba, Japan), and the Japan Collection of Microorganisms (JCM, RIKEN BioResource Research Center). The viral strains used in this study were obtained exclusively from ATCC. Culture media containing each test microorganism were diluted with the specimen extraction solution. The concentration of each microorganism added to the samples was set at the maximum achievable level for each material. Each prepared sample (100 μL) was applied to the sample application port of the test cassette. After incubation for 10 min at room temperature, the presence of red lines in the test (Test) and control (Control) regions was visually examined. A negative result, defined as the absence of a visible line in the test region, was considered to meet the acceptance criterion. For microorganisms that yielded a positive (non-compliant) result at the initial test concentration, serial dilutions were performed using the specimen extraction solution to determine the highest concentration at which no test line was observed. This concentration was defined as the limit concentration showing no cross-reactivity.

2.5. Reaction Tests in the Presence of Coexisting Substances

The potential effects of substances that may be present in the oral cavity on the reaction system of the IC kit (measurement process and test results) were evaluated. Test samples consisted of weak-positive controls (3.85 × 105 CFU/mL) and negative controls prepared by adding whole blood collected from healthy individuals (Sysmex, Kobe, Japan) and pharmaceutical agents listed in Table 1 at the concentrations specified in the test result sheet. All products were commercially available in Japan at the time of testing. The control samples comprised weak-positive controls and negative controls without the addition of any coexisting substances. The concentrations of pharmaceuticals and other coexisting substances added to the samples were set at the maximum achievable levels. Acceptance criteria were defined as follows: (i) test results identical to those obtained for the corresponding control samples without coexisting substances (i.e., positive results for weak-positive controls and negative results for negative controls), and (ii) no invalid test outcomes, such as disappearance of the control line. If a coexisting substance produced a non-compliant result at the test concentration, the sample was further diluted to determine the concentration at which compliance was achieved. The highest concentration at which the acceptance criteria were met was defined as the concentration of the coexisting substance that did not interfere with the reaction system of the IC kit.

2.6. Development of the Measurement Reader

The measurement reader was constructed using a Raspberry Pi 4 single-board computer (Raspberry Pi Foundation, Cambridge, UK) equipped with a 5-inch liquid crystal display (LCD) monitor, and the housing was fabricated via injection molding (Figure 2a,b). The measurement software (ADTEC) was developed using the Python 3.9.2 programming language. Measurement was initiated by inserting the cassette into the reader and pressing the judgment button (Figure 2c,d). The results were automatically stored on a universal serial bus (USB) memory device. For quantitative analysis, the a* parameter of the CIE L*a*b* color space was used as an index of chromatic intensity (Figure 3).
To verify the performance of the developed measurement reader, intradevice precision (repeatability) was evaluated by repeated measurements using a single reader. A pre-reacted positive test card (P. gingivalis ATCC33277 2.8 × 106 CFU/mL), a weak positive test card (P. gingivalis ATCC33277 2.8 × 105 CFU/mL), and a negative test card were used as test samples. Each card was measured 25 consecutive times using the same reader. The a* values were extracted from the acquired image data for quantitative analysis. The coefficients of variation (CVs) were calculated using the formula described below to assess measurement variability within the device.
CV (%) = standard deviation/average × 100
To assess interdevice precision, a comparison study was conducted using three independent measurement readers. Porphyromonas gingivalis strain JCM12257 culture suspensions were serially diluted with the sample extraction solution to prepare test samples ranging from 0 to 2.6 × 107 CFU/mL. Each dilution was applied to a test card. After the specified reaction time, the a* value of each test card was measured using the three readers. The CV was calculated to evaluate interdevice measurement variability.

3. Results

3.1. Detection Performance of the IC Kits for Different Fimbrial Types of P. gingivalis

The performance of the IC kit was evaluated by analyzing test results at different bacterial concentrations. Result interpretation was defined according to the kit’s instructions: the appearance of a red line in the [Test] zone was interpreted as positive (+), whereas the absence of a red line was interpreted as negative (−). Results were to be considered invalid when no red line appeared in the [Control] zone; however, no invalid results were obtained during this evaluation. The negative control consistently yielded negative results, and no false-positive reactions attributable to non-specific binding were observed. The detection capability of the IC kit was evaluated using the P. gingivalis strains representing different fimbriae types: Type I (JCM12257) and Type II fimbriae (JCM19600). The IC kit produced a clearly visible test line at bacterial concentrations as low as 2.6 × 104 CFU/mL for both strains (Figure 4).

3.2. Cross-Reactivity Test of the IC Kit

To evaluate the analytical specificity of the IC kit, cross-reactivity testing was performed using representative bacteria, fungi (Table 2), and viruses (Table 3) that are expected to be present in oral specimens. At the concentrations tested, none of the evaluated microorganisms yielded positive test results, indicating the absence of detectable cross-reactivity under the conditions of this study.

3.3. Performance of the IC Kit in the Presence of Coexisting Substances

We evaluated the effect of substances that may be present in the oral cavity in daily life settings on the measurement process and analytical performance of the IC kit. Samples containing 0.5% and 1% blood met the compliance criteria; however, testing with a sample containing 2% blood produced a positive result in the negative control. Under other coexisting conditions involving pharmaceuticals and various substances, all samples met the compliance criteria for the kit at the tested concentrations (Table 4).

3.4. Validation of Reader Accuracy and System Precision

The reliability of the developed measurement reader was validated through correlation analyses using a standard bacterial strain (Figure 5a). As shown in Figure 5b, the measurement values (a* values) obtained using the developed reader showed a strong linear correlation (R2 = 0.9921) with the absorbance data measured using a high-precision reference immunochromatographic reader (C10066; Hamamatsu Photonics, Hamamatsu City, Japan). In addition, the numerical outputs from the developed reader exhibited a strong positive correlation (R2 = 0.9347) with visual scores determined using a standard color chart, which is commonly applied in clinical assessments (Figure 5c).

3.5. Evaluation of Intra-Device Reproducibility and Inter-Device Measurement Error of the Measurement Reader

To evaluate the intra-device reproducibility of the measurement reader, 25 consecutive measurements were performed using negative and positive controls. The results indicated narrow ranges between maximum and minimum values and low standard deviations in both groups, indicating high measurement stability. The CVs, used as indicators of reproducibility, were <1.0% for positive (0.08%), weak-positive (0.52%), and negative (0.54%) controls (Table 5). Comparative testing across three separate reader units demonstrated excellent reproducibility, with CV <0.6% for all the tested concentrations (Table 6).

4. Discussion

Detecting P. gingivalis, one of the most important periodontal pathogens, is crucial for effective management of periodontitis. Several methods are used to detect periodontal pathogens. Real-time PCR allows for the quantification of trace bacterial amounts through DNA amplification. However, the equipment required for PCR is bulky, and rapid detection is difficult, making it unsuitable for chairside testing. Furthermore, the high cost of analysis remains a significant challenge for routine PCR-based diagnosis.
IC offers the advantages of shorter measurement times and rapid testing compared with other diagnostic methods [20,21,22]. Performance evaluation of the kit developed in this study revealed a dose-dependent increase in the intensity of IC coloration in samples containing P. gingivalis. These findings indicate that the gold colloid-labeled antibodies in the IC kit formed immune complexes with P. gingivalis in the test solution, which were subsequently captured by antibodies immobilized on the membrane as the sample migrated along the strip. In contrast, no test lines were observed in specimens lacking P. gingivalis, supporting the high specificity of the antigen–antibody reaction employed in the IC kit.
Several P. gingivalis strains are known to exist, exhibiting a high degree of genetic diversity [23]. The long fimbriae of P. gingivalis are classified into six types (I–V and Ib) based on nucleotide sequence variations in the fimbrial protein A (fimA) gene [24]. PCR analysis of subgingival plaque samples showed that fimA type I is the most frequently detected in healthy adults, whereas type II is the most prevalent in patients with periodontitis, followed by type IV [25]. The strain JCM19600 (fimA type II) was isolated from patients with severe periodontitis and has been reported to exhibit high pathogenicity [26]. In the present study, we could detect JCM19600 as well as ATCC33277 (fimA type I) using the developed IC kit, indicating the applicability of this kit for the detection of multiple P. gingivalis strains. In contrast, strain W83 (fimA type IV) has been reported to strongly influence symbiotic bacterial species [27] and induce alveolar bone loss in a periodontitis mouse model [28]. We are currently evaluating the reactivity of the IC kit against strain W83 and other fimA types. Further validation across additional clinically relevant fimA genotypes will help clarify the broad applicability of the IC kit.
Given the o complex microbiota of the oral cavity [29] and its role as a gateway for the entry of exogenous microorganisms, high specificity is an essential requirement for IC kits designed for use with oral samples. The IC kit developed in this study yielded positive results for P. gingivalis and negative results for other tested pathogens, indicating a high degree of specificity for the detection of P. gingivalis.
To further evaluate the reliability of the developed kit, we investigated its detection performance in the presence of common oral care products, such as toothpastes and mouthwashes. These agents at concentrations of 10 mg/mL did not affect the ability of the IC kit to detect P. gingivalis. These findings suggest that the IC kit may be applicable to oral specimens, which often contain a variety of exogenous substances. However, accurate bacterial detection was not possible in samples containing more than 2% blood. Saliva from patients with periodontitis has been reported to contain hemoglobin equivalent to approximately 0.53 μL of blood (0.58 μg/mL) [30]. In addition, hemoglobin levels in GCF are significantly elevated (1116.6 nM) compared with those in healthy individuals (46.6 nM) [31]. Therefore, further improvements in detection sensitivity may be required for this IC kit to achieve clinically meaningful performance as an in vitro diagnostic tool for periodontitis. We are currently conducting performance evaluations using clinical specimens, including GCF, dental plaque, and saliva.
The a* values obtained using the measurement reader developed in this study showed a strong correlation with the absorbance values measured using a reference IC reader (R2 = 0.9921). The measurement reader employs a camera-based image analysis technology, enabling automatic detection of the colored test lines without the need for specialized mechanical driving components. As a result, the device can be designed as a compact, palm-sized reader.
The lower sensitivity compared with that of PCR is often cited as a limitation of IC. The fabricated IC kit was capable of detecting P. gingivalis at concentrations as low as 2.6 × 104 CFU/mL; however, the test line was visualized as an extremely faint line at this concentration, and some cases were interpreted as negative. As shown in Figure 2, signals below 5.0 mAbs were also difficult to detect visually using the IC reader, suggesting that the practical lower limit of detection by visual inspection was approximately 2.6 × 104 CFU/mL. For the developed measurement reader, the difference in a* values between 0 and 2.6 × 104 CFU/mL was minor (0.27) and was considered to be equivalent to the lower detection limit of visual inspection. Previous studies using quantitative PCR have shown that the mean number of P. gingivalis in subgingival samples from patients with periodontitis was 4.42 × 106 CFU/mL, which was significantly higher than that in healthy subjects (1.57 × 104 CFU/mL) [32]. Another study also revealed that the concentration of P. gingivalis in subgingival plaque or saliva strongly correlates with active periodontal destruction when it reaches a threshold of 104 to 105 cells/mL [33]. Based on these findings, the developed IC kit is expected to exhibit sufficient sensitivity for the detection of P. gingivalis in patients with periodontal disease. In fact, in a study using a prototype reader to analyze subgingival plaque from patients with periodontitis, the results of P. gingivalis detection using this IC kit showed significant positive correlations with both real-time PCR results and periodontal tissue parameters [34]. Furthermore, the developed reader-based measurement method exhibited high reproducibility, enabling stable quantitative measurements across different reader units.
In addition to P. gingivalis, the other Red Complex species, T. denticola and T. forsythia, are also known to play a pivotal role in the pathogenesis of periodontitis [35]. In a systematic review, the frequency of detection of Red Complex strains in patients with periodontitis has been reported to be >60% in most studies, regardless of the type of specimen, such as saliva or subgingival plaque [36]. We previously developed a test kit for quantifying the activity of N-benzoyl-DL-arginine peptidase (trypsin-like peptidase) produced by periodontopathogenic bacteria and demonstrated its utility as a simple and rapid method for detecting severe periodontitis [37]. We also reported that elevated trypsin-like peptidase activity detected in tongue swabs was associated with decreased kidney function [38]. However, because T. forsythia and T. denticola also produce the same peptidase, the specific detection of P. gingivalis remains impossible using this kit. In combination with the IC kit developed in this study, the approach has the potential to enable a simpler and more accurate periodontal disease diagnostic method for periodontal disease. In addition to the pathology of periodontitis, it may also contribute to the development of examination methods that enhance the understanding of the relationship between periodontitis and lifestyle-related diseases.

5. Conclusions

The IC kit developed in this study demonstrated the capability for sensitive and quantitative detection of P. gingivalis within approximately 10 min. The detection limit of this kit was 2.6 × 104 CFU/mL, with no cross-reactivity with oral commensal bacteria and was no interference from co-existing substances. Furthermore, the dedicated reader developed for the quantitative evaluation of immunochromatographic detection bands demonstrated a low CV in both intra- and inter-device reproducibility, indicating high reliability for quantitative assessment. Future studies using clinical specimens are expected to lead to their practical application as a chairside diagnostic tool for periodontal disease. In addition, we will continue clinical performance testing with a view to obtaining regulatory approval as an in vitro diagnostic (IVD) device, with the ultimate goal of establishing a comprehensive, next-generation periodontal disease diagnostic system through the combination with enzyme activity kits and other diagnostic tools.

Supplementary Materials

The following supporting information can be downloaded at: https://www.mdpi.com/article/10.3390/dj14070422/s1. Figure S1: Representative photo of results for SDS-PAGE. (M; molecular weight marker, 1; ascites, 2; throughout fraction, 3, purified fraction).

Author Contributions

Conceptualization, K.K., T.N. and W.A.; methodology, K.K.; software, K.K.; validation, K.K., Y.N.-Y. and W.A.; formal analysis, K.K. and M.I. (Maki Inoue); resources, M.M.; data curation, K.K. and W.A.; writing—original draft preparation, K.K. and W.A.; writing—review and editing, K.K., M.U. and W.A.; visualization, K.K., Y.N.-Y. and R.Y.; supervision, M.U., M.I. (Masanori Iwasaki), K.N. and W.A.; project administration, T.N.; funding acquisition, M.I. (Maki Inoue) and W.A. All authors have read and agreed to the published version of the manuscript.

Funding

This work was partially supported by JSPS KAKENHI (grant numbers 21K17201 and 23K16233) and NSK Nakanishi Foundation for the Research and Development.

Institutional Review Board Statement

Not applicable.

Informed Consent Statement

Not applicable.

Data Availability Statement

The data presented in this article are available upon request from the corresponding author.

Conflicts of Interest

The authors declare no conflict of interest.

Abbreviations

The following abbreviations are used in this manuscript:
LPSLipopolysaccharide
GCFGingival crevicular fluid
PCRPolymerase chain reaction
ICImmunochromatography
CDCCenter for Disease Control
CFUColony-forming units
SDS-PAGESodium dodecyl sulfate–polyacrylamide gel electrophoresis
PBSPhosphate-buffered saline
ATCCAmerican Type Culture Collection
NBRCNITE Biological Resource Center
JCMJapan Collection of Microorganisms
LCDliquid crystal display
USBUniversal serial bus
FimAFimbrial protein A

References

  1. Pihlstrom, B.L.; Michalowicz, B.S.; Johnson, N.W. Periodontal diseases. Lancet 2005, 366, 1809–1820. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  2. Usui, M.; Onizuka, S.; Sato, T.; Kokabu, S.; Ariyoshi, W.; Nakashima, K. Mechanism of alveolar bone destruction in periodontitis–Periodontal bacteria and inflammation. Jpn. Dent. Sci. Rev. 2021, 57, 201–208. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  3. Ministry of Health, Labour and Welfare. Survey of Dental Diseases; Ministry of Health, Labour and Welfare: Tokyo, Japan, 2016. (In Japanese)
  4. Suzuki, S.; Sugihara, N.; Kamijo, H.; Morita, M.; Kawato, T.; Tsuneishi, M.; Kobayashi, K.; Hasuike, Y.; Sato, T. Reasons for Tooth Extractions in Japan: The Second Nationwide Survey. Int. Dent. J. 2022, 72, 366–372. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  5. Park, H.E.; Song, H.Y.; Han, K.; Cho, K.H.; Kim, Y.H. Number of remaining teeth and health-related quality of life: The Korean National Health and Nutrition Examination Survey 2010–2012. Health Qual. Life Outcomes 2019, 17, 5. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  6. Schierz, O.; Baba, K.; Fueki, K. Functional oral health-related quality of life impact: A systematic review in populations with tooth loss. J. Oral Rehabil. 2021, 48, 256–270. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  7. Van Dyke, T.E.; Kholy, K.E.; Ishai, A.; Takx, R.A.P.; Mezue, K.; Abohashem, S.M.; Ali, A.; Yuan, N.; Hsue, P.; Osborne, M.T.; et al. Inflammation of the periodontium associates with risk of future cardiovascular events. J. Periodontol. 2021, 92, 348–358. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  8. Lalla, E.; Papapanou, P.N. Diabetes mellitus and periodontitis: A tale of two common interrelated diseases. Nat. Rev. Endocrinol. 2011, 7, 738–748. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  9. Sadrameli, M.; Bathini, P.; Alberi, L. Linking mechanisms of periodontitis to Alzheimer’s disease. Curr. Opin. Neurol. 2020, 33, 230–238. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  10. Lunar Silva, I.; Cascales, E. Molecular strategies underlying Porphyromonas gingivalis virulence. J. Mol. Biol. 2021, 433, 166836. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  11. Hajishengallis, G. Periodontitis: From microbial immune subversion to systemic inflammation. Nat. Rev. Immunol. 2015, 15, 30–44. [Google Scholar] [PubMed]
  12. Hajishengallis, G.; Lamont, R.J. Breaking bad: Manipulation of the host response by Porphyromonas gingivalis. Eur. J. Immunol. 2014, 44, 328–338. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  13. Ingalagi, P.; Bhat, K.G.; Kulkarni, R.D.; Kotrashetti, V.S.; Kumbar, V.; Kugaji, M. Detection and comparison of prevalence of Porphyromonas gingivalis through culture and Real Time-polymerase chain reaction in subgingival plaque samples of chronic periodontitis and healthy individuals. J. Oral Maxillofac. Pathol. 2022, 26, 288. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  14. Ge, D.; Wang, F.; Hu, Y.; Wang, B.; Gao, X.; Chen, Z. Fast, Simple, and Highly Specific Molecular Detection of Porphyromonas gingivalis Using Isothermal Amplification and Lateral Flow Strip Methods. Front. Cell. Infect. Microbiol. 2022, 12, 895261. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  15. Eke, P.I.; Dye, B.A.; Wei, L.; Slade, G.D.; Thornton-Evans, G.O.; Beck, J.D.; Taylor, G.W.; Borgnakke, W.S.; Page, R.C.; Genco, R.J. Self-reported measures for surveillance of periodontitis. J. Dent. Res. 2013, 92, 1041–1047. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  16. Tadokoro, K.; Yamaguchi, T.; Kawamura, K.; Shimizu, H.; Egashira, T.; Minabe, M.; Yoshino, T.; Oguchi, H. Rapid quantification of periodontitis-related bacteria using a novel modification of Invader PLUS technologies. Microbiol. Res. 2010, 165, 43–49. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  17. Yoon, S.H.; Min, I.K.; Ahn, J.G. Immunochromatography for the diagnosis of Mycoplasma pneumoniae infection: A systematic review and meta-analysis. PLoS ONE 2020, 15, e0230338. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  18. Cho, Y.J.; Lee, D.H.; Kim, D.O.; Min, W.K.; Bong, K.T.; Lee, G.G.; Seo, J.H. Production of a monoclonal antibody against ochratoxin A and its application to immunochromatographic assay. J. Agric. Food Chem. 2005, 53, 8447–8451. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  19. Vemula, S.V.; Zhao, J.; Liu, J.; Wang, X.; Biswas, S.; Hewlett, I. Current Approaches for Diagnosis of Influenza Virus Infections in Humans. Viruses 2016, 8, 96. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  20. Posthuma-Trumpie, G.A.; Korf, J.; van Amerongen, A. Lateral flow (immuno)assay: Its strengths, weaknesses, opportunities and threats. A literature survey. Anal. Bioanal. Chem. 2009, 393, 569–582. [Google Scholar] [PubMed]
  21. Koczula, K.M.; Gallotta, A. Lateral flow assays. Essays Biochem. 2016, 60, 111–120. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  22. Basile, K.; Kok, J.; Dwyer, D.E. Point-of-care diagnostics for respiratory viral infections. Expert Rev. Mol. Diagn. 2018, 18, 75–83. [Google Scholar] [PubMed]
  23. Igboin, C.O.; Griffen, A.L.; Leys, E.J. Porphyromonas gingivalis strain diversity. J. Clin. Microbiol. 2009, 47, 3073–3081. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  24. Enersen, M.; Nakano, K.; Amano, A. Porphyromonas gingivalis fimbriae. J. Oral Microbiol. 2013, 5, 20265. [Google Scholar] [CrossRef] [Scilit]
  25. Zhao, L.; Wu, Y.F.; Meng, S.; Yang, H.; OuYang, Y.L.; Zhou, X.D. Prevalence of fimA genotypes of Porphyromonas gingivalis and periodontal health status in Chinese adults. J. Periodontal Res. 2007, 42, 511–517. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  26. Watanabe, T.; Maruyama, F.; Nozawa, T.; Aoki, A.; Okano, S.; Shibata, Y.; Oshima, K.; Kurokawa, K.; Hattori, M.; Nakagawa, I.; et al. Complete genome sequence of the bacterium Porphyromonas gingivalis TDC60, which causes periodontal disease. J. Bacteriol. 2011, 193, 4259–4260. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  27. Zhang, Y.; Shi, W.; Song, Y.; Wang, J. Metatranscriptomic analysis of an in vitro biofilm model reveals strain-specific interactions among multiple bacterial species. J. Oral Microbiol. 2019, 11, 1599670. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  28. Boyer, E.; Leroyer, P.; Malherbe, L.; Fong, S.B.; Loréal, O.; Bonnaure Mallet, M.; Meuric, V. Oral dysbiosis induced by Porphyromonas gingivalis is strain-dependent in mice. J. Oral Microbiol. 2020, 12, 1832837. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  29. Li, X.; Liu, Y.; Yang, X.; Li, C.; Song, Z. The Oral Microbiota: Community Composition, Influencing Factors, Pathogenesis, and Interventions. Front. Microbiol. 2022, 13, 895537. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  30. Deng, K.; Pelekos, G.; Jin, L.; Tonetti, M.S. Gingival bleeding on brushing as a sentinel sign of gingival inflammation: A diagnostic accuracy trial for the discrimination of periodontal health and disease. J. Clin. Periodontol. 2021, 48, 1537–1548. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  31. Liu, L.Y.; McGregor, N.; Wong, B.K.; Butt, H.; Darby, I.B. The association between clinical periodontal parameters and free haem concentration within the gingival crevicular fluid: A pilot study. J. Periodontal Res. 2016, 51, 86–94. [Google Scholar] [PubMed]
  32. Ambrosio, N.; Marín, M.J.; Laguna, E.; Herrera, D.; Sanz, M.; Figuero, E. Detection and quantification of Porphyromonas gingivalis and Aggregatibacter actinomycetemcomitans in bacteremia induced by interdental brushing in periodontally healthy and periodontitis patients. Arch. Oral Biol. 2019, 98, 213–219. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  33. O’Brien-Simpson, N.M.; Burgess, K.; Lenzo, J.C.; Brammar, G.C.; Darby, I.B.; Reynolds, E.C. Rapid Chair-Side Test for Detection of Porphyromonas gingivalis. J. Dent. Res. 2017, 96, 618–625. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  34. Yamanaka, R.; Usui, M.; Kobayashi, K.; Onizuka, S.; Kasai, S.; Sano, K.; Hironaka, S.; Yamasaki, R.; Yoshii, S.; Sato, T.; et al. Evaluation of a Novel Immunochromatographic Device for Detecting Porphyromonas gingivalis in Patients with Periodontal Disease. Int. J. Mol. Sci. 2024, 25, 8187. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  35. Chen, C.; Hemme, C.; Beleno, J.; Shi, Z.J.; Ning, D.; Qin, Y.; Tu, Q.; Jorgensen, M.; He, Z.; Wu, L.; et al. Oral microbiota of periodontal health and disease and their changes after nonsurgical periodontal therapy. ISME J. 2018, 12, 1210–1224. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  36. Jiang, Y.; Song, B.; Brandt, B.W.; Cheng, L.; Zhou, X.; Exterkate, R.A.M.; Crielaard, W.; Deng, D.M. Comparison of Red-Complex Bacteria Between Saliva and Subgingival Plaque of Periodontitis Patients: A Systematic Review and Meta-Analysis. Front. Cell. Infect. Microbiol. 2021, 11, 727732. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  37. Iwasaki, M.; Usui, M.; Ariyoshi, W.; Nakashima, K.; Nagai-Yoshioka, Y.; Inoue, M.; Kobayashi, K.; Nishihara, T. Evaluation of the ability of the trypsin-like peptidase activity assay to detect severe periodontitis. PLoS ONE 2021, 16, e0256538. [Google Scholar] [CrossRef] [Scilit] [PubMed]
  38. Iwasaki, M.; Inoue, M.; Usui, M.; Ariyoshi, W.; Nakashima, K.; Nagai-Yoshioka, Y.; Nishihara, T. The association between trypsin-like protease activity in the oral cavity and kidney function in Japanese workers. J. Clin. Periodontol. 2024, 51, 265–273. [Google Scholar] [CrossRef] [Scilit] [PubMed]
Figure 1. (a) Principle of the immunochromatography assay (i) A sample containing the target antigen is applied to the sample pad. (ii) Gold colloid–labeled antibodies migrate along the membrane and bind to the antigen. (iii) Positive result: Visible red lines appear at both the test (TL) and control (CL) lines. (iv) Negative result: A red line appears only at the control line (CL). (b) Developed immunochromatography test kit. (i) test cassette, (ii) test strip.
Figure 1. (a) Principle of the immunochromatography assay (i) A sample containing the target antigen is applied to the sample pad. (ii) Gold colloid–labeled antibodies migrate along the membrane and bind to the antigen. (iii) Positive result: Visible red lines appear at both the test (TL) and control (CL) lines. (iv) Negative result: A red line appears only at the control line (CL). (b) Developed immunochromatography test kit. (i) test cassette, (ii) test strip.
Dentistry 14 00422 g001
Figure 2. Overview and operational interface of the developed measurement reader. (a) External view of the measurement reader. (b) Side panel showing the power button, DC input jack for the AC adapter, and USB interface port. (c) Close-up view of the test card insertion slot. (d) Measurement configuration after insertion of the test card.
Figure 2. Overview and operational interface of the developed measurement reader. (a) External view of the measurement reader. (b) Side panel showing the power button, DC input jack for the AC adapter, and USB interface port. (c) Close-up view of the test card insertion slot. (d) Measurement configuration after insertion of the test card.
Dentistry 14 00422 g002
Figure 3. Measurement procedure for the immunochromatography reader. (a) Power on the device. (b) Perform baseline system calibration via the settings menu to ensure optical accuracy. (c) Insert the processed test card into the dedicated slot for measurement. (d) The calculated results are displayed on the screen and stored on a USB memory device.
Figure 3. Measurement procedure for the immunochromatography reader. (a) Power on the device. (b) Perform baseline system calibration via the settings menu to ensure optical accuracy. (c) Insert the processed test card into the dedicated slot for measurement. (d) The calculated results are displayed on the screen and stored on a USB memory device.
Dentistry 14 00422 g003
Figure 4. Evaluation of detection sensitivity for different fimbrial types of Porphyromonas gingivalis. (a) Representative images of the test strips showing the intensity of the test line at each bacterial concentration. Enlarged images of the test area are shown at the bottom. CL: control line; TL: test line (b) Table summarizing positive (+) and negative (−) results across serial dilutions.
Figure 4. Evaluation of detection sensitivity for different fimbrial types of Porphyromonas gingivalis. (a) Representative images of the test strips showing the intensity of the test line at each bacterial concentration. Enlarged images of the test area are shown at the bottom. CL: control line; TL: test line (b) Table summarizing positive (+) and negative (−) results across serial dilutions.
Dentistry 14 00422 g004
Figure 5. Performance evaluation and correlation analysis of the developed measurement reader. (a) Visual evaluation using a standard bacterial strain (Porphyromonas gingivalis ATCC 33277) (b) Correlation analysis between the developed reader and a reference immunochromatographic reader. (c) Correlation analysis between the reader output and a standard visual color chart.
Figure 5. Performance evaluation and correlation analysis of the developed measurement reader. (a) Visual evaluation using a standard bacterial strain (Porphyromonas gingivalis ATCC 33277) (b) Correlation analysis between the developed reader and a reference immunochromatographic reader. (c) Correlation analysis between the reader output and a standard visual color chart.
Dentistry 14 00422 g005
Table 1. Coexisting substances used in the interference study.
Table 1. Coexisting substances used in the interference study.
CategoryCoexisting Substance (Commercial Product)Manufacturer
Mouthwash 1Mondahmin PX4Earth Corporation (Tokyo, Japan)
Mouthwash 2Listerine CMKenvue (Summit, NJ, USA)
Mouthwash 3Lacleche®JEX Co., Ltd. (Osaka, Japan)
Liquid dentifriceG·U·M WNSunstar Inc. (Osaka, Japan)
Paste dentifrice 1Deep Clean SBKao Corporation (Tokyo, Japan)
Paste dentifrice 2Yakuyō Lacalut New 5SSP Co., Ltd. (Tokyo, Japan)
Oral antisepticIsodine Gargle CMeiji Co., Ltd. (Tokyo, Japan)
Throat lozenge/candy 1Colgen Kowa TrocheKowa Company, Ltd. (Aichi, Japan)
Throat lozenge/candy 2Gotosan Throat CandyIrie Seika Co., Ltd. (Fukuoka, Japan)
Throat lozenge/candy 3Propolis & Manuka Honey Throat CandyAsada Ame Co., Ltd. (Tokyo, Japan)
Table 2. Results of cross-reactivity test for bacteria and fungi.
Table 2. Results of cross-reactivity test for bacteria and fungi.
BacteriaStrain No.Concentration
(CFU/mL)
Detection
Bordetella pertussisNBRC1078571.69 × 108
Candida albicansNBRC13853.25 × 108
Citrobacter freundiiJCM16572.24 × 109
Corynebacterium diphtheriaeJCM13105.25 × 106
Enterococcus duransNBRC100479 (Lancefield’s Group D)3.75 × 108
Enterococcus faecalisNBRC100480 (Lancefield’s Group D)6.00 × 108
Escherichia coliATCC11775 (JCM1649)2.40 × 109
Haemophilus influenzaeATCC90061.56 × 108
Klebsiella pneumoniaeATCC13883 (JCM1662)1.76 × 108
Listeria monocytogenesJCM76711.07 × 109
Moraxella catarrhalisATCC81763.70 × 109
Mycoplasma oraleNBRC144772.48 × 107
Mycoplasma pneumoniaeNBRC144011.81 × 107
Mycoplasma salivariumNBRC144781.02 × 106
Mycoplasma hominisNBRC148501.34 × 105
Neisseria gonorrhoeaeATCC194241.02 × 109
Neisseria meningitidisATCC130774.20 × 109
Neisseria siccaATCC99135.20 × 109
Neisseria subflavaATCC192434.10 × 109
Prevotella intermediaJCM111501.19 × 109
Proteus vulgarisNBRC30454.25 × 109
Pseudomonas aeruginosaNBRC126893.85 × 109
Salmonella enteritidisIFO33131.15 × 109
Salmonella typhimuriumIFO132458.20 × 109
Serratia marcescensNBRC30461.04 × 109
Staphylococcus aureusNBRC1021353.17 × 107
Staphylococcus epidermidisNBRC1009111.38 × 108
Streptococcus agalactiaeJCM5671 (Lancefield’s Group B)1.79 × 108
Streptococcus anginosusJCM12993 (Lancefield’s Group G)2.08 × 108
Streptococcus constellatus subsp. constellatusJCM129945.05 × 108
Streptococcus dysgalactiae subsp. dysgalactiaeJCM5673 (Lancefield’s Group C)4.04 × 108
Streptococcus oralisJCM129978.60 × 107
Streptococcus mitisJCM129711.75 × 108
Streptococcus mutansNBRC139554.25 × 108
Streptococcus mutansJCM57051.11 × 109
Streptococcus oralis subsp. oralisJCM129972.85 × 108
Streptococcus pneumoniaeNBRC1026426.45 × 109
Streptococcus pyogenesJCM5674 (Lancefield’s Group A) T11.07 × 108
Streptococcus pyogenesATCC12353 (T12)8.95 × 108
Streptococcus pyogenesATCC12962 (T28)9.65 × 108
Streptococcus pyogenesATCC12204 (T25)1.11 × 109
Streptococcus pyogenesBAA-1066 (M4)8.35 × 108
Streptococcus salivariusJCM57074.50 × 108
Streptococcus sanguinisJCM57082.85 × 107
Streptococcus sobrinusJCM334785.60 × 108
Tannerella forsythiaJCM108278.05 × 108
Table 3. Results of cross-reactivity test for viruses.
Table 3. Results of cross-reactivity test for viruses.
VirusStrain No.Concentration
(TCID50/mL)
Detection
Adenovirus 3ATCC VR-31.0 × 106
Adenovirus 6ATCC VR-62.5 × 106
Adenovirus 7ATCC VR-77.5 × 104
Coxsackievirus B3ATCC VR-307.5 × 106
Echovirus 6ATCC VR-2407.5 × 106
Echovirus 16ATCC VR-467.5 × 105
Echovirus 32ATCC VR-3247.5 × 105
Herpes Simplex Virus Type1ATCC VR-7355.0 × 103.25
Herpes Simplex Virus Type2ATCC VR-7345.0 × 104.75
Parainfluenza Virus Type 2ATCC VR-927.5 × 105
Parainfluenza Virus Type 3ATCC VR-937.5 × 106
Table 4. Effect of coexisting substrates on test results.
Table 4. Effect of coexisting substrates on test results.
Coexisting SubstancesConcentrationSampleDetectionAcceptance
Blood2%PgWPC+Not accept
NC+
1%PgWPC+Accept
NC
0.5%PgWPC+Accept
NC
Mouthwash 110%PgWPC+Accept
NC
Mouthwash 210%PgWPC+Accept
NC
Mouthwash 310%PgWPC+Accept
NC
Liquid dentifrice10%PgWPC+Accept
NC
Paste dentifrice 110 mg/mLPgWPC+Accept
NC
Paste dentifrice 210 mg/mLPgWPC+Accept
NC
Oral antiseptic10 mg/mLPgWPC+Accept
NC
Throat lozenge/candy 110 mg/mLPgWPC+Accept
NC
Throat lozenge/candy 210 mg/mLPgWPC+Accept
NC
Throat lozenge/candy 310 mg/mLPgWPC+Accept
NC
PgWPC; weak-positive controls (P. gingivalis 3.85 × 105 CFU/mL). NC; negative control.
Table 5. Summary of intradevice reproducibility (n = 25).
Table 5. Summary of intradevice reproducibility (n = 25).
DescriptionMeanSDCV
Negative0.4560.00250.54%
Weak Positive0.6010.00310.52%
Positive0.6810.00050.08%
Table 6. Summary of interdevice measurement.
Table 6. Summary of interdevice measurement.
Description Device 1Device 2Device 3
NegativeMean0.46400.45560.4471
SD0.00100.00250.0019
CV0.219%0.538%0.427%
Weak-positiveMean0.61670.60060.6049
SD0.00110.00310.0008
CV0.177%0.517%0.130%
PositiveMean0.66820.68150.6676
SD0.00260.00050.0009
CV0.383%0.077%0.128%
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

Kobayashi, K.; Yamasaki, R.; Usui, M.; Morita, M.; Inoue, M.; Nagai-Yoshioka, Y.; Iwasaki, M.; Nakashima, K.; Nisihara, T.; Ariyoshi, W. Development of a Quantitative Detection System for Porphyromonas gingivalis Based on Immunochromatography. Dent. J. 2026, 14, 422. https://doi.org/10.3390/dj14070422

AMA Style

Kobayashi K, Yamasaki R, Usui M, Morita M, Inoue M, Nagai-Yoshioka Y, Iwasaki M, Nakashima K, Nisihara T, Ariyoshi W. Development of a Quantitative Detection System for Porphyromonas gingivalis Based on Immunochromatography. Dentistry Journal. 2026; 14(7):422. https://doi.org/10.3390/dj14070422

Chicago/Turabian Style

Kobayashi, Kaoru, Ryota Yamasaki, Michihiko Usui, Masahiro Morita, Maki Inoue, Yoshie Nagai-Yoshioka, Masanori Iwasaki, Keisuke Nakashima, Tatsuji Nisihara, and Wataru Ariyoshi. 2026. "Development of a Quantitative Detection System for Porphyromonas gingivalis Based on Immunochromatography" Dentistry Journal 14, no. 7: 422. https://doi.org/10.3390/dj14070422

APA Style

Kobayashi, K., Yamasaki, R., Usui, M., Morita, M., Inoue, M., Nagai-Yoshioka, Y., Iwasaki, M., Nakashima, K., Nisihara, T., & Ariyoshi, W. (2026). Development of a Quantitative Detection System for Porphyromonas gingivalis Based on Immunochromatography. Dentistry Journal, 14(7), 422. https://doi.org/10.3390/dj14070422

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