Xylella fastidiosa subsp. pauca strain CoDiRO, a pathogen responsible for Olive Quick Decline Syndrome (OQDS), is strongly threatening the agricultural-based economy of South Italy and making its typical landscape collapse. The bacteria can also infect more than other twenty woody or shrub species and quarantine programs are carried out in Italy. Since symptoms of OQDS like leaf scorching and wilting of canopy may appear several months after infection and some hosts are asymptomatic, a tool for the rapid and early screening of plants is desirable, in order to plan a sudden control strategy and apply programs for pest management. X. fastidiosa detection is usually performed by ELISA and PCR methods. In this work, the two standard methods are compared with an innovative on-chip detection strategy for X. fastidiosa assay from leaves samples, based on an electrochemical transduction method. The realized lab-on-chip includes also a microfluidic module and its performances are competitive with conventional diagnostic methods in terms of reliability, but with further advantages of portability, low-costs and ease of use. Thus, the proposed technology has the potential to provide a useful assay method for large-scale monitoring programs.
The bacteria X. fastidiosa subsp. pauca strain CoDiRO was associated to the Olive Quick Decline Syndrome (OQDS or Complesso del Disseccamento Rapido dell’Olivo, CoDiRO), a severe plant diseases that is crushing the production of olive in several districts of Salento (South Apulia, Italy)1. The prognosis for infected olive trees is often ill-fated, particularly for the most sensitive cultivar Ogliarola di Lecce and Cellina di Nardò2,3. X. fastidiosa can infect a broad range of species4 and symptoms can be very different. However, a common symptom in many species is the leaf scorching and wilting of canopy. Unfortunately, the first symptoms occurs several months after initial infection (“latent period”), a period of time that may vary according to month since infection, age of the tree and variety5. The latent period is a serious threat because it will likely provide enough time for the pathogen to spread far away from the initial point of introduction before being detected. For that reason, large-scale monitoring is desirable.
Several diagnostic protocols were tested for the CoDiRO strain6, such as ELISA7, PCR8,9, direct tissue blot immunoassay10 or Loop-mediated isothermal amplification (LAMP)11,12. Two real-time PCR protocols are also available11,13. Standards for diagnostic protocols for X. fastidiosa were recently revised and a flow diagram for the diagnostic procedure for X. fastidiosa in plant material was described (European and Mediterranean Plant Protection Organization, EPPO, 2016)14. ELISA is a key-test for large-monitoring programs such those carried out in Italy, where more than 150,000 plants were tested in 2016, due to low cost (at least the half) and easier management of large amount of samples compared to molecular tests. For this reason, its inclusion among screening tests is crucial and almost unavoidable. However, analytical sensitivity of ELISA is around 104 CFU/mL, while real-time PCR detects about 102 CFU/mL. Conversely, diagnostic sensitivity and specificity in comparison with naturally infected samples is 100%, the same obtained with molecular tests (EPPO, 2016)15. Estimation of workload of laboratory test is also crucial for planning monitoring programs for quarantine pests, whose management is strictly regulated and mainly involve Plant Protection Service and laboratories of Universities or public research centers. Thus, the availability of faster detection methods is desirable.
Among novel approaches, Lab-on-a-Chip (LOC) devices are of increasing interest in many fields of application from clinical diagnostics16,17,18 to agro-food monitoring19,20 and are showing potential applications in plant pathology, thanks to low cost, rapidity and sensitivity21,22, and may represents an intriguing grower-friendly method for plant pathogen monitoring23. Recently, an In-Check system was also tested for quarantine pests such as Citrus tristeza virus (CTV), showing as LOC devices may be comparable with capillary electrophoresis single-strand conformation polymorphism (CE-SSCP) analysis and multiple molecular marker (MMM) assays24.
In this paper, we report on the validation of a LOC for the specific detection of X. fastidiosa subsp. pauca strain CoDiRO, in spiked leaf samples, comparing the proposed method to standardized ones (immunoenzimatic and molecular tests). Then a different strain and real samples (naturally infected and healthy) were also analyzed. Our results demonstrate that LOC methods could substantially help in monitor and contrast the spreading of X. fastidiosa, by providing a tool with features of low-cost, easy on-field use, and better performance than standard ELISA tests.
Bacteria source (X. fastidiosa subsp. pauca strain CoDiRO) was obtained from commercial kit (Agritest, Valenzano, Italy) and tests were carried out using dilutions ranging from 105 to 102 CFU mL−1. A further bacteria source belonging to a different subspecies (X. fastidiosa subsp. fastidiosa) was also obtained from commercial kit (Loewe Biochemica, Sauerlach, Germany) and used as control for diagnostic specificity. At least five biological samples were tested for each diagnostic method. Specifically, for ELISA and Lab on chip validation, the dilutions were prepared by artificially adding the inactivated bacterial suspension in fresh homogenized healthy plant tissues, which were then used directly for the assays by testing three replications of each sample. Commercial negative control was used as reference to tests. The same set of samples were used for real-time PCR. To evaluate the sensitivity of the real-time PCR assay, the reaction mix were prepared by adding the proper dilutions of inactivated bacterial suspensions (prepared using Ultrapure DNase/RNase-Free Distilled water, Carlo Erba, Milan, Italy).
Naturally infected or healthy samples were also tested. The plant material was collected from three different symptomatic trees and three different asymptomatic trees. Approximately 1 g of leaf petioles per tree (a pool sample from thirty leaves collected from six branches) was transferred to an extraction bag (BIOREBA, Switzerland) and homogenized using a semi-automatic homogenizer (Homex 6, BIOREBA) at 50% maximum speed, following validated protocols for ELISA/LoC or real-time PCR.
ELISA and real-time PCR assays
DAS-ELISA was carried out using recommended antisera and commercial buffers (Agritest). The ELISA kit has been validated for olives, oleander, almond, citrus, oak, grape and other species (i.e. weeds) for detection of X. fastidiosa subsp. fastidiosa, multiplex and pauca7, showing 100% of diagnostic specificity in comparison with naturally infected samples14. No ELISA cross reaction was found against the plant pathogens: Agrobacerium tumefaciens biovars 1, 2, A. vitis; Brenneria populi, B. quercina, B. rubrifaciens; Burkholderia andropogonis; Clavibcter michiganensis subsp. michiganensis; Erwinia amylovora, Pantoea agglomerans; Pantoea stewartii subsp stewartii; Pseudomonas amygdali, P. marginalis pv. marginalis, P. savastanoi pv. savastanoi, P. savastanoi pv syringe, P. savastanoi pv. garcae; Ralstonia solanacearum; Xanthomonas arboricola pv. celebensis, X. arboricola pv. corylina, X. arboricola pv. juglandis, X. arboricola pv. pruni; Xanthomonas campestris pv. citri, X. campestris pv. populi, X. campestris pv. vesicatoria, X. campestris pv. viticola, X. hortorum pv. pelargonii25. Values of the absorbance at 405 nm (OD405) are recorded 4 hours after adding the substrate, using a PerkinElmer 2030 Multilabel reader Victor X5 (PerkinElmer, Wallac OyTurku, Finland). Readings were normalized as R values (OD-sample⁄OD-negative control). R = 2.0 was used as threshold to distinguish a positive response vs. a negative response for tested samples (EPPO, 2010).
Among suggested real-time PCR methods, TaqMan quantitative PCR protocols with XF-F/R primers and XF-P probe11 were used. Each reaction was prepared using 5 μL dilution of DNA, 200 nM probe, 400 nM forward and reverse primers, in a total volume of 25 μL. The cycling conditions were: 10 min at 95 °C, followed by 40 cycles of 95 °C for 15 s and 60 °C for 1 min with the final dissociation at 95 °C for 15 s, 60 °C for 30 s and 95 °C for 15 s in a real-time PCR thermal cycler (ABI PRISM 7900 HT Fast Real-Time PCR System, Applied Biosystems). According to EPPO standard12, a test was considered positive if it produced an exponential amplification curve. The cycle threshold (Ct) calculations were carried out using SDS 1.2 software (Applied Biosystems, USA).
The LOC system used for X. fastidiosa detection includes a simple PDMS (Polydimethylsiloxane) microfluidic module providing microchannels and 20 μl microchambers obtained by replica molding. A system of inlet and outlet holes allows the delivery of functionalization solutions and test samples directly on the surface of an array of interdigited metallic microelectrodes realized by optical lithography on a glass substrate. Our current EIS device layout, with a central inlet hole and 4 peripheral outlets per side (half chip), allows the contemporary testing of different samples (Fig. 2). The central inlet was used to perform functionalization steps and to insert the sample to be measured, which is delivered to the four chambers (total volume required for the complete filling of the four microchambers is of around 100 μl). In order to optimize our protocol and measurements, we used the four chambers per side (half chip) for measurements in quadruplicate, but once optimized, each of the four chambers may be used for a separate sample test, considering also that each chamber includes an array of 4 couples of electrodes for redundant measurements (Fig. 2).
Interdigited electrodes (with 10 μm lines and spacing) undergo a functionalization process which allows to specifically bind X. fastidiosa cells by means of highly specific antibodies, the same employed for ELISA tests. In particular, the functionalization process includes the overnight deposition of a mixed self-assembled monolayer of beta-mercaptoethanol and mercaptoundecanoic acid (11-MUA) (Sigma Aldrich) able to bind Protein A which in turn contains an Fc antibody-binding specific domain. Antibody used for electrodes functionalization were purchased by Agritest. Passivation of the biosensing layer is achieved by BSA (Bovine Serum Albumin from Sigma Aldrich) 1 mg/ml dissolved in Phosphate Buffered Saline (PBS) pH = 7 for 1 hour at room temperature.
Once the sensing devices have been obtained, calibration experiments with known dilution of bacteria suspensions in PBS were performed, in order to evaluate assay sensitivity. Bacteria dilution from 106 CFU/ml to 104 CFU/ml were delivered to the microfluidic channels and left in static conditions into the microchambers for 1 hour to allow the biorecognition between antibodies immobilized on the electrodes’ surface and Xylella fastidiosa cells suspended. Subsequently 1 ml of washing PBS solution was delivered into the system and chambers were filled with a redox couple solution of hexacyanoferrate(II/III) K3[Fe(CN)6]/K4[Fe(CN)6] (1:1) at a concentration of 10 mM in order to perform electrochemical impedance measurements. An Autolab PGSTAT30 was employed to acquire impedance spectroscopy data by applying a sinusoidal 15 mV AC voltage in a range of frequencies from 105 Hz to 0.1 Hz. Beyond spiked samples, the LOC response was also tested for the recognition of the phytopathogen in leaf matrix, in order to evaluate the influence of a more complex real sample. To this aim, a preliminary rough filtration of the leaf homogenate was achieved by means of a sterile gauze piece double folded, in order to retain larger leaves debris which may adhere to the electrodes giving false positive results. After filtration, aliquots of leaves homogenates were spiked with serial dilution of X. fastidiosa suspensions.
All data generated or analysed during this study are included in this article after statistical analysis in the form of mean values with standard deviation. Impedance spectroscopy raw data were exported as ASCII files and were processed using OriginPro 2016.
ELISA and real-time PCR assays
In ELISA tests, R of positive control was more than 5, while absorbance of negative control was below 0.2. Positive readings were obtained up to a dilution of 104 CFU mL−1 (Table 1). In real-time PCR, amplification curve of positive control was exponential (Ct 19.8), while negative control gave no amplification during 40 cycles. Samples were considered as positive to test up to the dilution of 102 CFU mL−1. No differences in both ELISA and real-time PCR results were observed with the subsp. fastidiosa control.
In ELISA tests on naturally infected samples, R was set at 4.77 ± 1.23; in real-time PCR test, mean Ct was 20.67 ± 1.04. Samples collected from asymptomatic trees showed R value around 1.00 and gave no amplification during 40 cycles of real time PCR. These samples were also used for LoC tests.
Electrochemical impedance biochips were realized as an array of metallic interdigited microelectrodes with lines and spaces of 10 μm. Sensing areas have been aligned with a microfluidic module including microchannels and microchambers in which biological reactions have been performed. Impedance spectra are shown below in the form of Nyquist plots where the x axis represents the real component of impedance Zre and on the y axis the complex component -Zim is plotted. The reported impedance curves have been obtained by at least three repeated measurements and error bars represent the standard deviations. A Randles circuit can be used to model impedance spectra and estimate electron transfer resistance (Ret, roughly the intercept with x axis) which is influenced by electrode modifications and increases consequently to the deposition of molecular layers and analytes, during both functionalization or detection phases.
As a first step, the device was measured after functionalization phase, in order to identify the impedance contribution related to the antibodies anti- X. fastidiosa. In this case, a reproducible impedance value of around 31 kΩ was obtained (black squares in Figs 3 and 4). Successively, a calibration using serial dilutions of Xylella fastidiosa was performed, resuspending aliquots of a 105 CFU/ml suspension in PBS. A remarkable variation of impedance values has been observed when resuspended Xylella fastidiosa cells were incubated in the microfluidic chambers of the device, thus providing a robust system able to monitor the biorecognition events of antigens at the interface between the functionalized electrodes and the solution. In particular, stock solution resulted in a value of Ret of around 705 kΩ (red squares in Fig. 3) with an increment in impedance with respect to the baseline of around 675 kΩ; ratios tested inside the microfluidic and sensing platform include 1:10 dilution of the stock solution (which resulted in Ret around 151 kΩ), 1:20 (Ret around 121 kΩ), 1:50 (Ret around 84 kΩ), 1:75 (Ret around 58 kΩ). The curve associated with 1:100 ratio (Ret around 35 kΩ corresponding to 103 CFU/ml), still separated, is quite overlapped with antibody baseline (cyan squares in Fig. 3). Impedance spectroscopy is thus very effective for monitoring biorecognition events on surface-modified electrodes.
As a first step to demonstrate ability to detect X. fastidiosa from real vegetable samples, we tested our functionalized platform with olive leaf homogenates, obtained by mechanical mashing and minimally pre-treated by filtration through a sterile gauze. Matrix contribution to impedance spectroscopy over the antibody layer was evaluated as around 10 kΩ, resulting in a Ret around 40 kΩ, corresponding to the grey squares (negative control) in Fig. 3, probably related to an unspecific absorption of matrix molecular components over the microelectrode surface. In order to obtain a calibration curve with real samples and to establish the matrix effect also with increasing concentrations of X. fastidiosa, we enriched healthy control leaf homogenates to obtain spiked samples with a concentration from 103 to 2 × 104 CFU/ml by using the same bacteria suspension employed for calibration experiments in PBS. Leaf samples spiked with 103 CFU/ml, corresponding to a 1:100 ratio of dilution, resulted in Ret around 40 kΩ. This value is again overlapped with negative control of healthy leaf homogenate over the antibody layer, thus providing a lower limit for sensitivity of the proposed platform in case of real samples.
For both calibrations in PBS and in spiked leaves samples, a response curve has been obtained and these trends are reported in Fig. 5 (black and red dots respectively), showing detection limits of 1 × 103 corresponding to the 1:100 dilution of stock solution for PBS spiked samples, and 1:75 for homogenate leaves sample. Data points may be fitted with a linear behaviour for highest concentrations (while the slope becomes higher at low concentrations). In particular for PBS spiked samples (black dots and line in Fig. 5), an almost linear response has been obtained down to 1:75 sample, while for leaves homogenate spiked samples (red dots and line) this is possible down to 1:50 dilution. This may be probably due to a unspecific absorption of matrix components (such as plant wall debris) which interfere with a more sensitive detection of X. fastidiosa cells.
The applicability of our optimized EIS test on samples coming from naturally infected (or healthy) trees, was also demonstrated. Specifically, we performed the analysis on leaves homogenates coming from asymptomatic and symptomatic trees, treated with the same protocol for spiked samples and carrying the analysis in parallel with ELISA and PCR methods.
From these tests we found that asymptomatic trees reported impedance values (green lines in Fig. 6) clearly shifted toward the antibody baseline (black line around 30 kΩ), while EIS analysis of infected trees resulted in increased impedance values in a range from 225 to 275 kΩ.
Conventional diagnostic techniques are frequently time consuming and laborious. Immunological-based detection methods, such as ELISA, can be automated to be more time effective and job-saving but they have some limitations: low sensitivity and false negative results. New technologies are sought to overcome these critical points and to provide portable and miniaturized devices that can be used directly in the field by giving rapid response to tests. In this work, we set up a reliable, low cost and label-free assay based on Electrochemical Impedance Spectroscopy able to detect 1.3 × 103 CFU/ml of X. fastidiosa cells from spiked samples of olive leaves homogenates. We also performed ELISA and PCR tests in order to compare results and to validate our innovative assay. In Table 2, the results in terms of sensitivity of the three methods are summarized. These findings place our developed assay in a competitive position because of a better sensitivity with respect to ELISA methods. ELISA tests fail in detecting microorganism at dilution factors higher than 1:10, while our LOC platform is able to identify pathogens’ cells down to 1:75 dilutions, showing a limit of detection 7.5 times better than ELISA.
As far as PCR-based methods are concerned, they exhibit better performances compared to LOC devices with positive results even at very high dilutions (down to 1:1000). However, nucleic acid-based methods are expensive and require advanced equipment and qualified professionals to be performed. In this respect, our device can represent a good compromise among the need for sensitivity and assay accessibility, showing intermediate performances between ELISA and PCR. We also tested LOC devices for confirming the presence/absence of X. fastidiosa in naturally infected olive trees and asymptomatic trees, and our results were also confirmed by standard methods assays.
Moreover, the proposed LOC platform is suitable to be improved in order to include a user-friendly sample preparation method by the integration of microfluidic tools for on chip sample processing such as filtration for debris removal23. Another competitive aspect of the proposed LOC devices concerns the costs, which were estimated as 1.8 or 6 time lower than ELISA and real-time PCR respectively. Costs of LOC devices (around 5 €/device) are mainly due to the glass substrate and the metallization. A significant saving with respect to standard methods is instead related to a minimal employ of antibodies since functionalization of EIS devices requires 1 µl/ml antibody concentration. The high suitability for downscaling of the number of sensing areas in each device will not affect volumes of reagent required for functionalization neither the cost of a single device, but will improve the number of tests which may be simultaneously performed. All these aspects, together with the limited dimension of the platform (few square centimeters) and the possibility to easily integrate the electronic connections into portable devices like laptops or smartphones, makes our optimized biochip suitable for on-field use. Thus, this technology paves the way to monitoring and screening olive trees directly where epidemic threats are expected or where symptoms of the disease have not been already pointed out, in order to apply timeless and necessary control actions. A further benefit of our developed assay is the possibility to set up multiplexed tests by including also other phytopathogens for early identification of different plant pests. However, even if validated antibodies are used for LOC fabrication, inter-laboratory tests are also needed in future to definitely prove robustness of this technique.
Saponari, M., Boscia, D., Nigro, F. & Martelli, G. P. Identification of Dna Sequences Related to Xylella Fastidiosa in Oleander, Almond and Olive Trees Exhibiting Leaf Scorch Symptoms in Apulia (Southern Italy). J. Plant Pathol. 95, 668–668 (2013).
Giampetruzzi, A. et al. Transcriptome profiling of two olive cultivars in response to infection by the CoDiRO strain of Xylella fastidiosa subsp pauca. Bmc Genomics 17, https://doi.org/10.1186/s12864-016-2833-9 (2016).
Luvisi, A. et al. Xylella fastidiosa subsp pauca (CoDiRO strain) infection in four olive (Olea europaea L.) cultivars: profile of phenolic compounds in leaves and progression of leaf scorch symptoms. Phytopathol. Mediterr. 56, 259–273, https://doi.org/10.14601/Phytopathol_Mediterr-20578 (2017).
Janse, J. D. & Obradovic, A. Xylella Fastidiosa: Its Biology, Diagnosis, Control And Risks. J. Plant Pathol. 92, S35–S48 (2010).
Martelli, G. P., Boscia, D., Porcelli, F. & Saponari, M. The olive quick decline syndrome in south-east Italy: a threatening phytosanitary emergency. European Journal of Plant Pathology 144, 235–243, https://doi.org/10.1007/s10658-015-0784-7 (2016).
Luvisi, A., Nicoli, F. & De Bellis, L. Sustainable Management of Plant Quarantine Pests: The Case of Olive Quick Decline Syndrome. Sustainability 9, https://doi.org/10.3390/su9040659 (2017).
Loconsole, G. et al. Detection Of Xylella Fastidiosa In Olive Trees By Molecular And Serological Methods. J. Plant Pathol. 96, 7–14 (2014).
Minsavage, G. V., Thompson, C. M., Hopkins, D. L., Leite, R. & Stall, R. E. Development Of A Polymerase Chain-Reaction Protocol For Detection Of Xylella-Fastidiosa In Plant-Tissue. Phytopathology 84, 456–461, https://doi.org/10.1094/Phyto-84-456 (1994).
Guan, W. et al. Specific Detection and Identification of American Mulberry-Infecting and Italian Olive-Associated Strains of Xylella fastidiosa by Polymerase Chain Reaction. PLoS One 10, https://doi.org/10.1371/journal.pone.0129330 (2015).
Djelouah, K., Frasheri, D., Valentini, F., D’Onghia, A. M. & Digiaro, M. Direct tissue blot immunoassay for detection of Xylella fastidiosa in olive trees. Phytopathol. Mediterr. 53, 559–564 (2014).
Harper, S. J., Ward, L. I. & Clover, G. R. G. Development of LAMP and Real-Time PCR Methods for the Rapid Detection of Xylella fastidiosa for Quarantine and Field Applications. Phytopathology 100, 1282–1288, https://doi.org/10.1094/phyto.06.10.0168 (2010).
Yaseen, T. et al. On-site detection of Xylella fastidiosa in host plants and in “spy insects” using the real-time loop-mediated isothermal amplification method. Phytopathol. Mediterr. 54, 488–496 (2015).
Francis, M., Lin, H., Cabrera-La Rosa, J., Doddapaneni, H. & Civerolo, E. L. Genome-based PCR primers for specific and sensitive detection and quantification of Xylella fastidiosa. European Journal of Plant Pathology 115, 203–213, https://doi.org/10.1007/s10658-006-9009-4 (2006).
EPPO, PM 7/24 (2) Xylella fastidiosa. EPPO Bull., 46, 463–500 (2016).
EPPO, PM 7/101 (1): ELISA tests for plant pathogenic bacteria. EPPO Bull., 40, 369–372 (2010).
Chiriaco, M. S. et al. Simultaneous detection of multiple lower genital tract pathogens by an impedimetric immunochip. Biosens. Bioelectron. 79, 9–14, https://doi.org/10.1016/j.bios.2015.11.100 (2016).
Primiceri, E. et al. Automatic transwell assay by an EIS cell chip to monitor cell migration. Lab on a Chip - Miniaturisation for Chemistry and Biology 11, 4081–4086, https://doi.org/10.1039/c1lc20540d (2011).
Templier, V. et al. Biochips for Direct Detection and Identification of Bacteria in Blood Culture-Like Conditions. Scientific Reports 7, 9457, https://doi.org/10.1038/s41598-017-10072-z (2017).
Chiriaco, M. S. et al. Portable gliadin-immunochip for contamination control on the food production chain. Talanta 142, 57–63, https://doi.org/10.1016/j.talanta.2015.04.040 (2015).
Primiceri, E. et al. A multipurpose biochip for food pathogen detection. Analytical Methods 8, 3055–3060, https://doi.org/10.1039/c5ay03295d (2016).
Julich, S. et al. Development of a lab-on-a-chip device for diagnosis of plant pathogens. Biosens. Bioelectron. 26, 4070–4075, https://doi.org/10.1016/j.bios.2011.03.035 (2011).
Nezhad, A. S. Future of portable devices for plant pathogen diagnosis. Lab on a Chip 14, 2887–2904, https://doi.org/10.1039/c4lc00487f (2014).
De Boer, S. H. & Lopez, M. M. In Annual Review of Phytopathology, Vol 50 (eds N. K. VanAlfen, J. E. Leach, & S. Lindow) 197–218 (2012).
Scuderi, G. et al. Development and Evaluation of a Novel Probe Microarray for Genotyping Citrus Tristeza Virus Using an Integrated Lab-On-Chip Device. J. Plant Pathol. 98, 25–34 (2016).
Giampetruzzi, A. et al. Draft Genome Sequence of the Xylella fastidiosa CoDiRO Strain. Genome Announcements 3, e01538–01514, https://doi.org/10.1128/genomeA.01538-14 (2015).
This work was supported by Italian National FISR-CIPE Project “Inno-Sense”: Development of an innovative sensing platform for on-field analysis and monitoring (delibera CIPE n.78 del 07/08/2017) and by the UE-H2020-ICT project MADIA (Grant No. 732678).
The authors declare no competing interests.
Publisher's note: Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
About this article
Cite this article
Chiriacò, M.S., Luvisi, A., Primiceri, E. et al. Development of a lab-on-a-chip method for rapid assay of Xylella fastidiosa subsp. pauca strain CoDiRO. Sci Rep 8, 7376 (2018). https://doi.org/10.1038/s41598-018-25747-4
This article is cited by
Molecular Biology Reports (2023)
Label-free electrochemical microfluidic biosensors: futuristic point-of-care analytical devices for monitoring diseases
Microchimica Acta (2022)
Research advances and applications of biosensing technology for the diagnosis of pathogens in sustainable agriculture
Environmental Science and Pollution Research (2021)
Detection of Xanthomonas citri pv. viticola on grapevine by real-time PCR and BIO-PCR using primers designed from pathogenicity and xanthomonadin gene sequences
European Journal of Plant Pathology (2019)