Generating robust aptamers for food analysis by sequence-based configuration optimization.

Advanced analytical techniques are emerging in the food industry. Aptamer-based biosensors achieve rapid and highly selective analysis, thus drawing particular attention. Aptamers are oligonucleotide probes screened via in vitro Systematic Evolution of Ligands by EXponential Enrichment (SELEX), which can bind with their specific targets by folding into three-dimensional configurations and accept various modifications to be incorporated into biosensors, showing great potential in food analysis. Unfortunately, aptamers obtained by SELEX may not possess satisfactory affinity. Post-SELEX strategies were proposed to optimize aptamers' configuration and enhance the binding affinity, with specificity confirmed. Sequence-based optimization strategies exhibit great advantages in simple operation, good generalization, low cost, etc. This review summarizes the latest study (2015-2023) on generating robust aptamers for food targets by sequence-based configuration optimization, as well as the generated aptamers and aptasensors, with an expectation to provide inspirations for developing aptamer and aptasensors with high performance for food analysis and to safeguard food quality and safety.

Detection of Cannabinoids in Oral Fluid Specimens as the Preferred Biological Matrix for a Point-of-Care Biosensor Diagnostic Device.

An increasing number of countries have started to decriminalize or legalize the consumption of cannabis for recreational and medical purposes. The active ingredients in cannabis, termed cannabinoids, affect multiple functions in the human body, including coordination, motor skills, memory, response time to external stimuli, and even judgment. Cannabinoids are a unique class of terpeno-phenolic compounds, with 120 molecules discovered so far. There are certain situations when people under the influence of cannabis may be a risk to themselves or the public safety. Over the past two decades, there has been a growing research interest in detecting cannabinoids from various biological matrices. There is a need to develop a rapid, accurate, and reliable method of detecting cannabinoids in oral fluid as it can reveal the recent intake in comparison with urine specimens, which only show a history of consumption. Significant improvements are continuously made in the analytical formats of various technologies, mainly concerning improving their sensitivity, miniaturization, and making them more user-friendly. Additionally, sample collection and pretreatment have been extensively studied, and specific devices for collecting oral fluid specimens have been perfected to allow rapid and effective sample collection. This review presents the recent findings regarding the use of oral fluid specimens as the preferred biological matrix for cannabinoid detection in a point-of-care biosensor diagnostic device. A critical review is presented, discussing the findings from a collection of review and research articles, as well as publicly available data from companies that manufacture oral fluid screening devices. Firstly, the various conventional methods used to detect cannabinoids in biological matrices are presented. Secondly, the detection of cannabinoids using point-of-care biosensors is discussed, emphasizing oral fluid specimens. This review presents the current pressing technological challenges and highlights the gaps where new technological solutions can be implemented.

High-Throughput Bioassay for Detection of Latent Fungi in Postharvest Produce.

Enormous fresh agricultural produce is wasted annually due to rots caused by pathogenic microorganisms. Most pathogenic fungi attack the harvested produce by penetrating the fruit at the field and remaining quiescent or latent until the fruit ripens or senescence. In this work, a recently developed simple, cost-effective, and high-throughput 96-well plate-based assay was applied to determine the presence of pathogenic fungi in their latent stage. The surface strands immobilized on the 96-well plate, only with the presence of the complementary RNA marker (enoyl-CoA hydratase (ECH)) of the latent fungal-pathogen Colletotrichum gloeosporioides will create a complex with the target and reporter (labeled with the horseradish peroxidase (HRP) enzyme) strands for positive signal generation. The developed assay demonstrated 3.1-fold higher specificity for the latent marker (ECH) of C. gloeosporioides compared to latent markers of other pathogenic fungi. A 2 nM detection limit of target strands was demonstrated, showing a high plate sensitivity, and was further validated with biological samples extracted from latent infection in tomato fruit. The developed assay provides a new economical tool for detecting the presence of latent RNA markers of pathogenic fungi in agricultural produce, ultimately improving postharvest decision-making and reducing postharvest losses.

Paper-based colorimetric loop-mediated isothermal amplification (LAMP) assay for the identification of latent Colletotrichum in harvested fruit.

Paper-based analytical devices (PADs) have gained enormous attention because of their low-cost, simple fabrication, and portability. Here, we propose a paper-based device for performing reverse transcription loop-mediated isothermal amplification (RT-LAMP) with real-time simultaneous detection of C. gloeosporioides latent infections in tomatoes. RT-LAMP-based PAD platform comprises a paper substrate on which the DNA amplification reaction occurs. Among different types of tested papers, cellulose membrane (grade 4) enabled effective visualization of the amplification result. The assay was found highly selective for the latent stage of C. gloeosporioides with lower limit of detection (LOD) of 0.5 pg of total extracted RNA. The developed assay generated the results within 40 min and hence can be efficiently employed for identifying C. gloeosporioides in resource-limited settings.

Characterization and optimization of bioluminescent bacterial cells immobilization process in calcium alginate hydrogel tablets.

AIMS: Whole-cell biosensors are increasingly utilized in various applications. These platforms integrate cells with a signal measurement device. One of the main challenges in the development of such platforms is the immobilization matrix that is used to keep the cells stable, which also affects the portability of the device. In this study, a portable and simple immobilization of bioluminescent bacterial cells in calcium alginate hydrogel was examined. METHODS AND RESULTS: The effects of several physical parameters were investigated (e.g. calcium alginate solution volume, drying, incubation time, mixing procedure, bacterial concentration, and tablet location within the cylinder). An alginate solution volume of 3 ml was preferred as well as the addition of 400 µl solution after the 15 min of compressing step and before the polymerization step. Also, a stirring mixing mode is favored over vortexing due to the creation of better homogenized tablets, as well as a bacterial concentration of 0.15 OD600nm that produced a high light response while maintaining a lower variance. Lastly, the findings showed a significantly higher response [induction factor (IF)] in the tablets using the optimized immobilization protocol (IF = 8.814) than the old one (IF = 1.979). CONCLUSIONS: To conclude, bacterial cells immobilization in calcium alginate tablets provides improved sensitivity and storability.

Accurate and non-destructive monitoring of mold contamination in foodstuffs based on whole-cell biosensor array coupling with machine-learning prediction models.

Mold contamination in foodstuffs causes huge economic losses, quality deterioration and mycotoxin production. Thus, non-destructive and accurate monitoring of mold occurrence in foodstuffs is highly required. We proposed a novel whole-cell biosensor array to monitor pre-mold events in foodstuffs. Firstly, 3 volatile markers ethyl propionate, 1-methyl-1 H-pyrrole and 2,3-butanediol were identified from pre-mold peanuts using gas chromatography-mass spectrometry. Together with other 3 frequently-reported volatiles from Aspergillus flavus infection, the volatiles at subinhibitory concentrations induced significant but differential response patterns from 14 stress-responsive Escherichia coli promoters. Subsequently, a whole-cell biosensor array based on the 14 promoters was constructed after whole-cell immobilization in calcium alginate. To discriminate the response patterns of the whole-cell biosensor array to mold-contaminated foodstuffs, optimal classifiers were determined by comparing 6 machine-learning algorithms. 100 % accuracy was achieved to discriminate healthy from moldy peanuts and maize, and 95 % and 98 % accuracy in discriminating pre-mold stages for infected peanuts and maize, based on random forest classifiers. 83 % accuracy was obtained to separate moldy peanuts from moldy maize by sparse partial least square determination analysis. The results demonstrated high accuracy and practicality of our method based on a whole-cell biosensor array coupling with machine-learning classifiers for mold monitoring in foodstuffs.

Rapid and simple colorimetric detection of quiescent Colletotrichum in harvested fruit using reverse transcriptional loop-mediated isothermal amplification (RT-LAMP) technology.

Anthracnose, caused by the fungus Colletotrichum gloeosporioides, is one of the major causes of postharvest decay of fruits and vegetables. Detection of the pathogen at an early stage of infection is crucial to developing a disease management strategy. In this work, a loop-mediated isothermal amplification (LAMP) assay was developed for the rapid detection of C. gloeosporioides targeting the transcript enoyl-CoA hydratase (ECH) that significantly upregulates only during C. gloeosporioides quiescent stage. The assay enabled a naked-eye detection of C. gloeosporioides RNA within 23 min based on a color change of LAMP products from pink to yellow. The detection limit of the LAMP assay was 1 pg of total RNA extracted from fruit peel in a 25 µL reaction. Positive results were obtained only in samples carrying the ECH gene, whereas no cross-reaction was observed for a different quiescent marker (histone deacetylase (HDAC)) or an appressorium marker (scytalone dehydratase, (SD)), indicating the high specificity of the method. Hence, the results indicate that the developed LAMP assay is a rapid, highly sensitive, and specific tool for the early detection of quiescent C. gloeosporioides and could be employed to manage postharvest diseases.

Biocompatibility characterization of vaterite with a bacterial whole-cell biosensor.

The growing biomedical challenges impose the continuous development of novel platforms. Ensuring the biocompatibility of drug delivery and implantable biomedical devices is an essential requirement. Calcium carbonate (CaCO3) in the form of vaterite nanoparticles is a promising platform, which has demonstrated distinctive optical and biochemical properties, including high porosity and metastability. In this study, the biocompatibility of differently shaped CaCO3 vaterite particles (toroids, ellipsoids, and spheroids) are evaluated by bacterial toxicity mode-of-action with a whole-cell biosensor. Different Escherichia coli (E. coli) strains were used in the bioluminescent assay, including cytotoxicity, genotoxicity and quorum-sensing. Firstly, both scanning electron microscopy (SEM) and fluorescence microscopy characterizations were conducted. Bacterial cell death and aggregates were observed only in the highest tested concentration of the vaterite particles, especially in toroids 15-25 µm. After, the bioluminescent bacterial panel was exposed to the vaterite particles, and their bioluminescent signal reflected their toxicity mode-of-action. The vaterite particles resulted in an induction factor (IF > 1) on the bacterial panel, which was higher after exposure to the toroids (1.557 ≤ IF ≤ 2.271) and ellipsoids particles (1.712 ≤ IF ≤ 2.018), as compared to the spheroids particles (1.134 ≤ IF ≤ 1.494), in all the tested bacterial strains. Furthermore, the vaterite particles did not affect the viability of the bacterial cells. The bacterial monitoring demonstrated the biofriendly nature of especially spheroids vaterite nanoparticles.

Synergistic antimicrobial effect of the combination of beta-lactam antibiotics and chitosan derivative on multidrug-resistant bacteria.

Dissemination of multidrug-resistant (MDR) bacteria with CTX-M-type extended-spectrum ß-lactamases (blaCTX-M) has become the greatest challenge in public health care. This study aimed to investigate the synergistic antibacterial potential of N-alkylaminated chitosan nanoparticles (CNPs) combined with conventional ß-lactam antibiotics (BLAs) against multidrug-resistant pathogen with blaCTX-M gene. The results of this study showed that the developed nano-formulation resensitized the studied E. coli MDR strain (E001) to ampicillin (AMP) and piperacillin (PIP) by causing a 1000-10,000-fold decrease in their MIC values (5000-50,000 mg/L to 5 mg/L). The conjugation of CNPs with cefoxitin (FOX) and ceftazidime (CAZ) showed a comparatively lower synergistic inhibitory effect owing to the higher susceptibility (MIC value = 0.5 mg/L-5 mg/L) of E001 to these antibiotics. The results indicate that CNPs could be effectively employed as an additive to augment the antibacterial effect of the BLAs for which MDR strains exhibit higher MIC values.

Portable biosensors for rapid on-site determination of cannabinoids in cannabis, a review.

Recent studies highlight the therapeutic virtues of cannabidiol (CBD). Furthermore, due to their molecular enriched profiles, cannabis inflorescences are biologically superior to a single cannabinoid for the treatment of various health conditions. Thus, there is flourishing demand for Cannabis sativa varieties containing high levels of CBD. Additionally, legal regulations around the world restrict the cultivation and consumption of tetrahydrocannabinol (THC)-rich cannabis plants for their psychotropic effects. Therefore, the use of cannabis varieties that are high in CBD is permitted as long as their THC content does not exceed a low threshold of 0.3%-0.5%, depending on the jurisdiction. These chemovars are legally termed 'hemp'. This controlled cannabinoid requirement highlights the need to detect low levels of THC, already in the field. In this review, cannabis profiling and the existing methods used for the detection of cannabinoids are firstly evaluated. Then, selected valuable biosensor technologies are discussed, which suggest portable, rapid, sensitive, reproducible, and reliable methods for on-site identification of cannabinoids levels, mainly THC. Recent cutting-edge techniques of promising potential usage for both cannabis and hemp analysis are identified, as part of the future cultivation and agricultural improvement of this crop.

Whole-cell bacterial biosensor with the capability to detect red palm weevil, Rhynchophorus ferrugineus, in date palm trees, Phoenix dactylifera: a proof of concept study.

The red palm weevil (RPW), Rhynchophorus ferrugineus, is considered a severe pest of palms. Usually, the early stages of infection are without visible signs. An attractive early sensing approach of non-visible infections is based on volatile organic compounds (VOCs). In this study, a whole-cell bacterial biosensor was used for the identification of RPW in date palm (Phoenix dactylifera). The cells are genetically modified to produce light in the presence of general stresses. The bioluminescent bacterial panel is based on three genetically engineered Escherichia coli strains that are sensitive to cytotoxicity (TV1061), genotoxicity (DPD2794), or quorum-sensing (K802NR). The bioluminescent bacterial panel detects the presence of VOCs and a change in the light signal is then generated, reflecting the health status of the date palm tree. The bioreporter bacteria cells are immobilized in calcium alginate tablets and placed in a sealed jar without direct contact with the tested sample, thereby exposing them only to the VOCs in the surrounding air. The immobilized bacteria cells were exposed to the air near infected by RPW or uninfected sugar canes, date palm tree pieces, and on date palm trees. Commercial plate reader was used for signal measurement. The findings show that quorum-sensing was induced by all the tested samples of infected sugar canes, date palm tree pieces, and date palm trees. While, cytotoxicity was induced only by infected date palm tree pieces, and genotoxicity was induced only by infected date palm trees. The bacterial monitoring results enable the identification of specific signatures that will allow a quick and accurate diagnosis.

Whole-cell bacterial biosensor for volatile detection from Pectobacterium-infected potatoes enables early identification of potato tuber soft rot disease.

Half of the harvested food is lost due to rots caused by microorganisms. Plants emit various volatile organic compounds (VOCs) into their surrounding environment, and the VOC profiles of healthy crops are altered upon infection. In this study, a whole-cell bacterial biosensor was used for the early identification of potato tuber soft rot disease caused by the pectinolytic bacteria Pectobacterium in potato tubers. The detection is based on monitoring the luminescent responses of the bacteria panel to changes in the VOC profile following inoculation. First, gas chromatography-mass spectrometry (GC-MS) was used to specify the differences between the VOC patterns of the inoculated and non-inoculated potato tubers during early infection. Five VOCs were identified, 1-octanol, phenylethyl alcohol, 2-ethyl hexanol, nonanal, and 1-octen-3-ol. Then, the infection was detected by the bioreporter bacterial panel, firstly measured in a 96-well plate in solution, and then also tested in potato plugs and validated in whole tubers. Examination of the bacterial panel responses showed an extensive cytotoxic effect over the testing period, as seen by the elevated induction factor (IF) values in the bacterial strain TV1061 after exposure to both potato plugs and whole tubers. Moreover, quorum sensing influences were also observed by the elevated IF values in the bacterial strain K802NR. The developed whole-cell biosensor system based on bacterial detection will allow more efficient crop management during postharvest, storage, and transport of crops, to reduce food losses.

Optimizing Effective Parameters to Enhance the Sensitivity of Vertical Flow Assay for Detection of Escherichia coli.

Vertical flow immunoassays (VFIAs) are considered potential point-of-care testing (POCT) devices compared to lateral flow assays due to their ability to analyze a comparatively large sample volume and ease of multiplexing. However, VFIA devices are limited by low analytical sensitivity when coupled with a visual colorimetric signal. Herein, we carefully analyzed key parameters that accounted for the proper functionality of VFIA that can be modified to enhance the overall sensitivity of VFIA. In particular, we focused on improving the stability of conjugate pads impregnated with capture antibodies, maintaining a controlled flow rate to ensure higher analyte reactivity with capture antibodies, and enhancing the absorption efficiency. The results showed that air-drying of conjugate pads in the presence of 5% (w/v) lactose significantly improved the stability of antibodies during long-term storage. Integration of dissolvable polyvinyl alcohol (PVA) membrane of optimal concentration as a time-barrier film into the sensor delayed the flow of samples, thereby increasing the biorecognition interaction time between immunoreagents for the formation of immuno-complexes, which in turn led to higher sensitivity of the assay. Furthermore, the employment of an absorbent pad with higher water holding capacity significantly reduced the non-specific binding of immunocomplexes, thereby reducing the possibility of false-negative results.

Characterization of the selective binding of modified chitosan nanoparticles to Gram-negative bacteria strains.

Chitosan is a nature-sourced polysaccharide widely used in numerous applications. The antibacterial potential of chitosan has attracted researchers to further develop and utilize this polymer for the formation of biocompatible antibacterial agents for both the food and healthcare industries. The tested hypothesis in this study is that modified N-alkylaminated chitosan nanoparticles (CNPs) have selective binding properties to Gram-negative bacteria strains that result in bacterial aggregation. Various bacterial strains were tested of five Gram-negative bacteria including Erwinia carotovora, Escherichia coli, Pseudomonas aeruginosa, Salmonella, and Serratia marcescens, as well as three Gram-positive bacteria strains including Bacillus licheniformis, Bacillus megaterium, and Bacillus subtilis. The fluorescence microscopy characterization showed that the presence of CNPs caused the aggregation of Escherichia coli bacteria cells, where modified CNPs with a shorter chain length of the substituent caused a higher aggregation effect. Moreover, it was found that the CNPs exhibited a selective binding behavior to Gram-negative as compared to Gram-positive bacteria strains, mainly to Escherichia coli and Salmonella. Also, the scanning electron microscopy characterization showed that CNPs exhibited selective binding to Gram-negative bacteria, which was especially understood when both Gram-negative and Gram-positive bacteria strains were within the same sample. In addition, the bacterial viability assay suggests that CNPs with a lower degree of substitution have a higher inhibitory effect on bacterial growth. CNPs with longer side chains had a less inhibitory effect on the bacterial growth of Gram-negative strains, where a concentration-dependent response pattern was only seen for the cases of Gram-negative strains, and not for the case of Gram-positive strain. To conclude, the further understanding of the selective binding of CNPs to Gram-negative bacteria strains may produce new opportunities for the discovery and characterization of effective antibacterial agents.

The polyaminosaccharide-based buffers as a new type of zwitterionic buffering macromolecules for biochemical applications.

A new type of biocompatible buffers based on zwitterionic polyaminosaccharides is reported. The carboxy- and amino-groups containing carboxymethyl chitosan (CM-CS) was synthesized and reacted with hydrochloric/acetic acid resulting in CM-CS-HCl and CM-CS-HAc buffers with buffering capacity of 20.6 and 15.2 mM/pH. The new buffers were comprehensively characterized for their physicochemical properties and checked on enzymatic reactions of acetylcholinesterase (AChE) and alkaline phosphatase (ALP). Their performance was compared to the phosphate and Tris buffers. The chloride-free, CM-CS-HAc demonstrated excellent buffering activity with Michaelis constants of 0.50 and 1.00 mM and maximum reaction rates of 5.62 and 2.26 µmol/min/mL for AChE and ALP reactions, respectively. Toxicity studies on stress-sensitive bioreporter bacteria verified nontoxicity of CM-CS-HAc. Zwitterionic polyaminosaccharides overcome drawbacks of monomeric buffers, such as interference with enzyme active sites, cell membrane injury and purification difficulties. Therefore, they may become the next generation of effective buffers for biological and biochemical applications.

Submicron polymer particles may mask the presence of toxicants in wastewater effluents probed by reporter gene containing bacteria.

Microplastics are ubiquitous in aquatic systems and break down into submicron particles that can interact with aquatic toxic chemicals. These interactions may affect the detection of toxicants when using bacteria as a biomonitoring tool. This study examined the effects of model polystyrene (PS)-based submicron particles on the detection of aqueous geno- and cytotoxicity by genetically modified bioluminescent (GMB) bacteria. The toxicities were tested in three treated wastewater (TWW) effluents before and after chlorination. The PS plastics included negatively charged sulfate-coated (S-PS) and pristine (P-PS) particles of different sizes (0.1, 0.5, and 1.0 µm) that were present at different concentrations. Chlorinated or not, the S-PS and P-PS particles per se were not toxic to the GMB bacteria. However, exposure of PS particles to TWW effluents can significantly reduce the measured geno- and cytotoxicity. Adsorption of toxic compounds to polymer particles can limit the ability of the bacteria to detect those compounds. This masking effect may be mitigated by TWW chlorination, possibly due to the formation of new toxic material. Due to interactions between toxic TWW constituents and the plastics particles, water samples containing particle-associated contaminants and/or their transformation products may be declared non-toxic, based on bacterial tests as a biomonitoring tool.

Cigarette smoke toxicity modes of action estimated by a bioluminescent bioreporter bacterial panel.

Cigarette smoking is considered to be a risk factor for several chronic diseases and even premature death. However, despite the importance of this detrimental habit, little seems known in terms of the overall toxicity potential of its ingredients in humans. In this study, a panel of genetically modified bioluminescent bioreporter bacteria was used to evaluate its usefulness in estimating the cigarette smoke's complex molecular mixture on a bacterial toxicity-bioreporter panel, both filtered or unfiltered. This work enabled to confirm the usefulness of cigarette filters, with better protection found in higher priced brands despite both having genotoxic and cytotoxic attributes. Quorum sensing interference was also shown, which may explain why cigarette smokers are at greater risk for pulmonary infections. Moreover, the findings of this study support the fact that the filter is a dominating contributor to reducing the harm caused by cigarette smoke. Increased efforts should be conducted to reduce the harmful effects of cigarette smoke, via increasingly effective filters. To conclude, the panel of bioreporter bacteria was found to be useful in the evaluation of the general effect of the toxic mixture found in cigarette smoke and therefore has the potential to be used in cigarette research, helping researchers pinpoint the reduction of toxicity when working with filter improvement.

The effect of cannabis toxicity on a model microbiome bacterium epitomized by a panel of bioluminescent E. coli.

The world acceptance of medical cannabis slowly widens. Cannabinoids are known as the main therapeutic active compounds in the cannabis plant, yet their bioactive physiological effects are still unknown. In this study, the mode of action of nine selected cannabinoids was examined using a bioluminescent bacterial panel, as well as the extracts of six different cannabis varieties and cannabinoids standards artificial mixtures. The bacterial panel was composed of genetically modified E. coli bacteria that is commonly found in the gut microbiome, to which a lux operon was added to various stress promoters. The panel was exposed to the cannabinoids in order to identify bacterial defense mechanism, via the aforementioned specific stress types response. This enables the understanding of the toxicity mode of action of cannabinoids. From all the tested cannabinoids, only delta-9-tetrahydrocannabinol (THC) and delta-9-tetrahydrocannabinolic acid A (THCA) produced a genotoxic effect, while the other tested cannabinoids, demonstrated cytotoxic or oxidative damages. Unlike pure cannabinoids, cannabis plant extracts exhibited mostly genotoxicity, with minor cytotoxicity or oxidative stress responses. Moreover, cannabinoids standards artificial mixtures produced a different response patterns compared to their individual effects, which may be due to additional synergistic or antagonistic reactions between the mixed chemicals on the bacterial panel. The results showed that despite the lack of cannabigerol (CBG), cannabidivarin (CBDV), cannabinol (CBN), and cannabichromene (CBC) in the artificial solution mimicking the CN6 cannabis variety, a similar response pattern to the cannabinoids standards mixture was obtained. This work contributes to the understanding of such correlations and may provide a realistic view of cannabinoid effects on the human microbiome.

The Incorporation of Amplified Metal-Enhanced Fluorescence in a CMOS-Based Biosensor Increased the Detection Sensitivity of a DNA Marker of the Pathogenic Fungus Colletotrichum gloeosporioides.

Half of the global agricultural fresh produce is lost, mainly because of rots that are caused by various pathogenic fungi. In this study, a complementary metal-oxide-semiconductor (CMOS)-based biosensor was developed, which integrates specific DNA strands that allow the detection of enoyl-CoA-hydratase/isomerase, which is a quiescent marker of Colletotrichum gloeosporioides fungi. The developed biosensor mechanism is based on the metal-enhanced fluorescence (MEF) phenomenon, which is amplified by depositing silver onto a glass surface. A surface DNA strand is then immobilized on the surface, and in the presence of the target mRNA within the sample, the reporter DNA strand that is linked to horseradish peroxidase (HRP) enzyme will also bind to it. The light signal that is later produced from the HRP enzyme and its substrate is enhanced and detected by the coupled CMOS sensor. Several parameters that affect the silver-deposition procedure were examined, including silver solution temperature and volume, heating mode, and the tank material. Moreover, the effect of blocking treatment (skim milk or bovine serum albumin (BSA)) on the silver-layer stability and nonspecific DNA absorption was tested. Most importantly, the effect of the deposition reaction duration on the silver-layer formation and the MEF amplification was also investigated. In the study findings a preferred silver-deposition reaction duration was identified as 5-8 min, which increased the deposition of silver on the glass surface up to 13-times, and also resulted in the amplification of the MEF phenomenon with a maximum light signal of 50 relative light units (RLU). It was found that MEF can be amplified by a customized silver-deposition procedure that results in increased detection sensitivity. The implementation of the improved conditions increased the biosensor sensitivity to 3.3 nM (4500 RLU) with a higher detected light signal as compared to the initial protocol (400 RLU). Moreover, the light signal was amplified 18.75-, 11.11-, 5.5-, 11.25-, and 3.75-times in the improved protocol for all the tested concentrations of the target DNA strand of 1000, 100, 10, 3.3, and 2 nM, respectively. The developed biosensor system may allow the detection of the pathogenic fungus in postharvest produce and determine its pathogenicity state.