Early Detection Of Contamination Research Articles

Early Detection of Contamination with Microplastics by Changing the Phototaxis of Freshwater Mesozooplankton to Paired Photostimulation

Early Detection of Contamination with Microplastics by Changing the Phototaxis of Freshwater Mesozooplankton to Paired Photostimulation

Fiber optics passive monitoring of groundwater temperature reveals three-dimensional structures in heterogeneous aquifers

Alluvial aquifers often exhibit highly conductive embedded formations that can act as preferential pathways for the transport of solutes. In this context, a detailed subsurface characterization becomes crucial for an effective monitoring of groundwater quality and early detection of contaminants. However, small-scale heterogeneities are seldom detected by traditional nondestructive investigations. Heat propagation in porous media can be a relatively inexpensive tracer for groundwater flow, potentially offering valuable information in various applications. In this study, we applied passive Fiber Optics Distributed Temperature Sensing (FO-DTS) to a group of observation wells in a highly heterogeneous phreatic aquifer to uncover structures with different hydraulic conductivity, relying on their response to temperature fluctuations triggered by natural and anthropogenic forcings. A comprehensive data analysis approach, combining statistical methods and physics-based numerical modeling, allowed for a three-dimensional characterization of the subsurface at the experimental site with unprecedentedly high resolution.

Early Detection of Contamination with Microplastics by Changing the Phototaxis of Freshwater Mesozooplankton to Paired Photostimulation

Early Detection of Contamination with Microplastics by Changing the Phototaxis of Freshwater Mesozooplankton to Paired Photostimulation

Rapid and non-labelling detection method in food safety and adulteration

One of the goals from The United Nations’ 17 Sustainable Development Goals (SDGs) is good health and well-being has, directly and indirectly, absolutely has relation with the safety and fraud of food. In the field of food sciences, the availability of analyzing tools for both safety and fraud of food is a must for producing the sustainable of good health and well-being of consumers, as well as a need early detection of contaminants in the food supply that be able to be serious to certify the safe food. Raman spectroscopy is one of the unconventional techniques that can detect and indicate those problems classes rapidly, sensitively, noninvasively, and relatively inexpensive method. The quantitative analysis and modeling of biomaterials based on empirical data are useful for connecting molecular biology to new areas, particularly in Industry 4.0 era, such as computational of food science. Raman spectroscopy is considered one of the possible methods by which we can observe the biological sample in rapid and non- labeling methods. This could improve to check up the quality and safety of food in the field of food science rapidly and safety. Furthermore, it will largely contribute to society in the future. The present article introduces some preliminary techniques based on Raman spectroscopy and evaluates their applications in intact food ingredients, such as lipid and Stingless Bees Honey.

Grazer-induced changes in molecular signatures of cyanobacteria

Algal biomass production is an emerging renewable source of fuels, nutrients, manufacturing materials, and pharmaceuticals. Industrial-scale production is predominantly performed in open raceway ponds that are inexpensive to build, operate, and maintain compared to closed bioreactors. However, these open pond systems suffer from increased opportunities for biological contamination from predators, pathogens, and competitors, which result in reduced biomass quality and yields and often the complete destruction of the crop over a short period of time. Early detection of contaminants is a necessary step of integrated pest management for triggering and informing interventions to prevent crop losses. To develop a sensitive method of detection utilizing mass spectrometry (MS), we used three methods – imaging mass spectrometry (imaging MS), liquid chromatography MS/MS (LC-MS/MS) combined with molecular networking, and gas chromatography MS/MS (GC–MS/MS) – to observe and identify molecular signatures from a model predator-prey system of the heterolobosean amoeba HGG1 preying on the filamentous cyanobacterium Anabaena sp. PCC 7120. Imaging MS enabled the association of molecules with the crop, the predator, or the activity of protozoan grazing, while LC-MS/MS-based molecular networking identified a subset of the grazing-specific signals as the chlorophyll breakdown products pyropheophytin, pheophorbide A, and pyropheophorbide. Application of MS techniques to other amoeba-cyanobacterial predator-prey pairs allowed categorization of grazing signatures as universal or specific to the species of prey, predator, or the prey-predator pairing, indicating that MS-based techniques can distinguish crops from competitors and potentially identify predators. Finally, GCMS/MS was shown to be capable of monitoring novel volatile organic compounds (VOCs), including those predicted to be released through chlorophyll breakdown, in the headspace over algal cultures under predation. These results demonstrate that the combination of multiple MS technologies creates a predictive framework to identify and catalog relevant molecular signatures for informing crop protection strategies.

Gram stain and addition of amphotericin B to improve the microbial safety of human donor corneas

To determine the effectiveness of two methods to improve the microbial safety of human corneas preserved in organ culture. We compared the number of positive preservation solutions of corneas in organ culture in which the initial short-term hypothermic corneal maintenance solution was supplemented with amphotericin B 2.5 µg/mL and the historical data of microbial test results (2015–2019). In addition, we appraised the efficacy of Gram stain to detect bacterial or fungal contamination in the organ culture solutions of corneas from at-risk donors compared to the culture tests of corneas from not-at-risk donors. Statistical analysis was performed using STATA and statistical significance set at p < 0.05. The number of positive culture tests after preservation was 15 (0.5%) in 2020 compared to a mean of 37 (1.2%) in the period 2015–2019 (p < 0.01), with 10 (1.0%) positive samples in the cohort of 998 corneas from at-risk donors and 5 (0.2%) in the 2046 corneas from not-at-risk donors (p < 0.01). All corneas from at-risk donors tested positive at Gram stain and the results were available 1–3 days before those of the conventional culture tests. Amphotericin B supplementation in the short-term maintenance solution markedly reduced the number of positive microbial tests after organ culture and the early detection of contaminants, including slow-growing microorganisms, by Gram stain before the standard culture results. This meant fewer corneas being discarded and a greater likelihood of preventing post-graft infections.

A liquid biopsy model to detect eventual pollutants as “one health” tool

Abstract Environmental pollution (EP), defined as the unfavorable chemical and physical alterations of our surroundings, still represents a relevant issue of this century. In this scenario, several changes may directly or indirectly impact on human health by promoting neoplastic cell transformation due to DNA damage in human tissue. The identification of a specific molecular signature observed in people exposed to environmental contaminants could improve risk calculation of exposition. As regards, DNA methylation is considered an epigenetic modification that could play a pivotal role in the risk calculation of patients under EC exposure. This mechanism, based on the introduction of methyl groups on cytosine's in CpG islands, is carried out by methyltransferases enzymes able to activate this modification in promotor region by influencing regulation process. Several studies demonstrated that methylation pattern is drastically alterated in subjects under EC exposure. To date, several approaches for the early detection of contaminants in biological fluids are under investigation. Liquid biopsy consists in a peripheral blood withdrawn where several biomolecules [cell-free DNA (ccfDNA), circulating tumor cells (CTCs), circulating cell-free RNA (ccfRNA) and exosomes] may be isolated. Students participate to the validation of a LP assay for the evaluation of environmental determinants with the Lab Residents. They assessed the cost-efficacy and the minimally invasive approach in order to construct a reliable model to be exported for the identification of epigenetic changes in the early stage of contamination process in high risk people. The young students role was also to create an informative schedule in order to explain the role and the potential of Liquid biopsy as a non-invasive tool that could allow the analysis of nucleic biomarkers as circulating cell-free DNA (ccfDNA), a potential stable biomarkers of diverse disease conditions in humans and animals.

A Wasserstein distance based multiobjective evolutionary algorithm for the risk aware optimization of sensor placement

• A Multiobjective Evolutionary Algorithm for the sensor placement (SP) in a network. • A novel data structure for the spatio-temporal contamination dynamics. • The fitness of a SP is represented as the histogram of a discrete random variable. • The Wasserstein distance between SP's enables new genetic operators. In this paper we propose a new algorithm for the identification of optimal “sensing spots”, within a network, for monitoring the spread of “effects” triggered by “events”. This problem is referred to as “Optimal Sensor Placement” and many real-world problems fit into this general framework. In this paper sensor placement (SP) (i.e., location of sensors at some nodes) for the early detection of contaminants in water distribution networks (WDNs) will be used as a running example. Usually, we have to manage a trade-off between different objective functions, so that we are faced with a multi objective optimization problem. (MOP). The best trade-off between the objectives can be defined in terms of Pareto optimality. In this paper we model the sensor placement problem as a multi objective optimization problem with boolean decision variables and propose a Multi Objective Evolutionary Algorithm (MOEA) for approximating and analyzing the Pareto set. The evaluation of the objective functions requires the execution of a simulation model: to organize the simulation results in a computationally efficient way we propose a data structure collecting simulation outcomes for every SP which is particularly suitable for visualization of the dynamics of contaminant concentration and evolutionary optimization. This data structure enables the definition of information spaces, in which a candidate placement can be represented as a matrix or, in probabilistic terms as a histogram. The introduction of a distance between histograms, namely the Wasserstein (WST) distance, enables to derive new genetic operators, indicators of the quality of the Pareto set and criteria to choose among the Pareto solutions. The new algorithm MOEA/WST has been tested on two benchmark water distribution networks and a real world network. Preliminary results are compared with NSGA-II and show a better performance, in terms of hypervolume and coverage, in particular for relatively large networks and low generation counts.

A Microbial Monitoring System Demonstrated on the International Space Station Provides a Successful Platform for Detection of Targeted Microorganisms.

Closed environments such as the International Space Station (ISS) and spacecraft for other planned interplanetary destinations require sustainable environmental control systems for manned spaceflight and habitation. These systems require monitoring for microbial contaminants and potential pathogens that could foul equipment or affect the health of the crew. Technological advances may help to facilitate this environmental monitoring, but many of the current advances do not function as expected in reduced gravity conditions. The microbial monitoring system (RAZOR® EX) is a compact, semi-quantitative rugged PCR instrument that was successfully tested on the ISS using station potable water. After a series of technical demonstrations between ISS and ground laboratories, it was determined that the instruments functioned comparably and provided a sample to answer flow in approximately 1 hour without enrichment or sample manipulation. Post-flight, additional advancements were accomplished at Kennedy Space Center, Merritt Island, FL, USA, to expand the instrument’s detections of targeted microorganisms of concern such as water, food-borne, and surface microbes including Salmonella enterica serovar Typhimurium, Pseudomonas aeruginosa, Escherichia coli, and Aeromonas hydrophilia. Early detection of contaminants and bio-fouling microbes will increase crew safety and the ability to make appropriate operational decisions to minimize exposure to these contaminants.

S-PLACE GA for optimal water quality sensor locations in water distribution network for dual purpose: regular monitoring and early contamination detection – a software tool for academia and practitioner

Abstract Security concerns about water distribution networks (WDNs) have led to increased interest in optimizing sensor locations in WDNs achieved through a calibrated hydraulic model. This paper presents a methodology, which consists of two stages. The first stage consists of calibration of a hydraulic model using a genetic algorithm (GA). A real-life network of one of the hydraulic zones of Nagpur city, India, is considered, which optimizes the settings of a throttled controlled valve at different timings for calibration. In this stage, a detailed case study, GA calibration model, methodology and results of calibrated models are discussed. The second stage consists of identifying optimal sensor locations using a newly developed software tool named ‘S-PLACE GA’ and its efficiency and effectiveness are discussed. It can be used for the dual purpose of routine monitoring of water quality and for early detection of contamination. The optimal locations are obtained considering two objective metrics, ‘Demand Coverage’ and ‘Time-Constrained Detection Likelihood’. These two objectives are combined into a single objective by using weights. Key features, input data required for the software and their applications on (1) BWSN network 1 and result comparison with others and (2) calibrated model of the first stage are discussed. Results showed the effectiveness of S-PLACE GA for practical applications.

Efficacy and Challenges of Using Springs for Early Detection of Contaminant Release from Waste Disposal Facilities Constructed in Karst Terranes

Early detection of groundwater contamination from waste disposal facilities is challenging in karst terranes. First, one needs to demonstrate that the groundwater system at the study site is monitorable. Both springs and wells are potential monitoring locations if they are effectively connected to the groundwater system, and they are not impacted by any other disposal facilities. Second, due to dynamic responses to recharge events, particularly discharge and chemical constituents at karst springs, multiple-parameter, long-term, and high-frequency monitoring may be required to collect background data. Sampling and analysis plans should be designed to reflect the unique characteristics of the monitoring locations. Characterization of the natural variations in water quality may require sampling efforts under different flow conditions. Third, evaluation of the potential impact of waste disposal units on the groundwater system requires an effective statistical evaluation program. Due to heterogeneity of karst aquifers, intra-locational comparison is generally preferred to inter-locational comparison. Sufficient groundwater monitoring data prior to construction of waste disposal units are required to develop the intra-locational statistical evaluation. In the case study presented in this paper, procedures to address these above-mentioned challenges were presented for two springs using seven dye tracing tests, two spring instrumentations, nine background sampling, flow-weighted concentrations, and an innovative statistical evaluation method were presented. These procedures were developed to evaluate potential contaminant release from a solid waste disposal facility constructed in a relatively isolated karst terrane. Although the specific procedures may not be duplicated, the overall technical approaches discussed in the paper may shed light on groundwater monitoring programs in other karst areas.

Potential use of electronic tongue coupled with chemometrics analysis for early detection of the spoilage of Zygosaccharomyces rouxii in apple juice

Apple juice spoilage by Zygosaccharomyces rouxii could scarcely be identified at early stage. It is crucial to recognize the spoilage at early stage to prevent waste of products. In present study, electronic tongue was applied to detect the spoilage of Z. rouxii in apple juice, using taste evaluation by panelists as reference. Combined with linear discriminant analysis, identification of the contaminated juice was fulfilled after 12 h, equivalent to yeast population of less than 2.0 lg colony forming units/mL. At the level, panelists were not capable of discerning the spoilage. Sensors HA, ZZ, BB and BA were relatively more sensitive to the changes in overall taste of apple juice. Moreover, cell number of Z. rouxii could be properly quantified by partial least squares regression models with high determination coefficient of 0.98–0.99. Electronic tongue appears to be a powerful approach to realize early detection of contamination of Z. rouxii.

Crossroads of the mesoscale circulation

Quantifying the mechanisms of tracer dispersion in the ocean remains a central question in oceanography, for problems ranging from nutrient delivery to phytoplankton, to the early detection of contaminants. Most analyses have been based on Lagrangian concepts of transport, focusing on the identification of features minimizing fluid exchange among regions, or more recently on network tools which focus on connectivity and transport pathways. Neither of these approaches allows ranking the geographical sites of major water passage and selecting them so that they monitor waters coming from separate parts of the ocean. These are instead key criteria when deploying an observing network. Here we address this issue by estimating at any point the extent of the ocean surface which transits through it in a given time window. With such information we are able to rank the sites with major fluxes that intercept waters originating from different regions. We show that this allows us to optimize an observing network, where a set of sampling sites can be chosen for monitoring the largest flux of water dispersing out of a given region. When the analysis is performed backward in time, this method allows us to identify the major sources which feed a target region. The method is first applied to a minimalistic model of a mesoscale eddy field, and then to realistic satellite-derived ocean currents in the Kerguelen area. In this region we identify the optimal location of fixed stations capable of intercepting the trajectories of 43 surface drifters, along with statistics on the temporal persistence of the stations determined in this way. We then identify possible hotspots of micro-nutrient enrichment for the recurrent spring phytoplanktonic bloom occuring here. Promising applications to other fields, such as larval connectivity, marine spatial planning or contaminant detection, are then discussed.

Colloidal crystal templated molecular imprinted polymer for the detection of 2-butoxyethanol in water contaminated by hydraulic fracturing

The authors describe a molecularly imprinted polymer (MIP) that enables detection of 2-butoxyethanol (2BE), a pollutant associated with hydraulic fracturing contamination. Detection is based on a combination of a colloidal crystal templating and a molecular imprinting. The MIPs are shown to display higher binding capacity for 2BE compared to non-imprinted films (NIPs), with imprinting efficiencies of ∼ 2. The tests rely on the optical effects that are displayed by the uniformly ordered porous structure of the material. The reflectance spectra of the polymer films have characteristic Bragg peaks whose location varies with the concentration of 2BE. Peaks undergo longwave red shifts up to 50nm on exposure of the MIP to 2BE in concentrations in the range from 1ppb to 100ppm. This allows for quantitative estimates of the 2BE concentrations present in aqueous solutions. The material is intended for use in the early detection of contamination at hydraulic fracturing sites. Graphical abstract Molecularly imprinted polymers (MIPs) sensor with the sensing ability on reflectance spectra responding to the presence of 2-butoxyethanol (2BE) for early detection of hydraulic fracking contamination.

Nanobiotechnology advances in enzymatic biosensors for the agri-food industry

Early detection of contaminants is of prime importance in the agricultural and food industries. Until recently real-time analysis of contaminated samples has been limited due to non-portability of sophisticated laboratory instruments and need of skilled personnel. Therefore, cheap, portable and easy to use biosensors are needed. Nanotechnology provides advanced biosensors as a result of novel nanofabrication and nanobioconjugation techniques. In particular, enzymatic nanobiosensors display ultrasensitivity and quick detection time in real-time analysis. Reported detection limits are at the nanomolar to picomolar level for contaminants analysed by enzymatic nanobiosensors. This review summarises nanobiotechnological advances in the agricultural and food industry, with focus on the detection of pesticides and food-borne contaminants.

A simplified procedure for sensor placement guidance for small utilities

Water distribution systems are vulnerable to intentional, along with accidental, contamination. A network of water quality sensors can provide early detection of contamination, but these sensors must be placed in locations that maximise their ability to detect contaminates. Robust models and algorithms have been developed to aid in sensor placement, but many require calibrated hydraulic/water quality models. Many small utilities do not possess the financial resources or expertise to build calibrated models. Because of such limitations, a simple procedure is proposed to recommend optimal placement of a sensor without a model or complicated algorithm. The procedure uses simple information about the geometry of the system and does not require explicit information about flow dynamics. While the proposed method does not claim to be as reliable as currently available sensor placement software, it should accomplish the goal to provide an effective solution for small utilities with limited technical and financial resources.

A polypyrrole based gas sensor for detection of volatile organic compounds (VOCs) produced from a wheat bread

Early detection of contamination in food items is the current interest of research. Changes in concentration of volatile organic compounds emitted by the food items can provide valuable information about its contamination. Hence, a polypyrrole based gas sensor is developed for the detection and monitoring the organic volatiles produced from wheat bread during storage. Gas chromatography–mass spectroscopy results show that 1-heptanol, 1-pentanol, 1-octanol are the predominant volatiles produced from wheat bread during storage. Multifrequency impedance measurement technique is used to monitor the changes in electrical properties, mainly capacitance of the developed sensor over a frequency range 10 Hz–2 MHz upon exposure to the above organic volatiles produced from the bread during storage of 120 h. Electrical property data show that the quantitative change in the above volatiles has influence on the change in capacitance of the developed sensor.

Micotossine: prevenire è molto, molto meglio che curare

Food contamination with fungal secondary metabolites has been a major limit for population wellness and development in the past. Although today social protection against this plague has been established in most countries, there are still many areas in the world where mycotoxin contamination causes illness and even death, due to the lack of healthy conditions for the storage of commodities. Information and knowledge are the main weapons available to contrast the danger of food contamination by mycotoxins. In several instances, information about the severity of the issue alone would have been effective in preventing cases of acute intoxications. Prevention is the winning strategy not only at the level of the end consumer, but also as far as the production is concerned. Thanks to the advances in the understanding of fungal epidemiology and mycotoxin synthesis, strategies for the prevention or at least for the limitation of mycotoxin contaminations have been developed in recent years. As far as cereal production in Italy is concerned, proper storage conditions are now widely adopted, and protocols for good practice in cultivation are being followed by an increasing number of producers. In addition, rapid methods for the early detection of contaminants and quality assessment have been developed and, when introduced in the routine field operation, may lead to substantial improvements of product quality.

Application of biosensors in early detection of contamination with lactic acid bacteria during apple juice and concentrate production

The aim of Collective Research Project QUALI-JUICE (COLL-CT-2005, Co Nr 012461) was to introduce the biosensors in control of microbiologically pure apple juice production. Three commercial lactate biosensors were used and compared with enzyme kits assays. Parallel the microbiological analysis of the production process at one juice producing enterprise was done. The results of lactic acid assay with biosensors were in good correlation with those obtained by enzyme kits. The main benefit of biosensor use was shortening of measurement time as compared with assay by enzyme kit and possibility to measure at line. The concentration of l-lactic acid in apple pulp could be correlated with the number of lactic acid bacteria. Pasteurization process was eliminating lactic acid bacteria and the concentration of lactic acid was at this stage not exceeding 0.1 g L −1. The final product (apple concentrate) contained in some cases very high amounts of lactic acid indicating secondary microbiological contamination after pasteurization step. Parallel microbiological analysis of production process and lactate assay indicated that the critical point during production was prolonged vacuum filtration after pasteurization.

A cluster of Escherichia coli O157: nonmotile infections associated with recreational exposure to lake water.

To identify cases and determine risk factors for an outbreak of Escherichia coli (E. coli) O157: nonmotile (NM) infections in children attending a summer day care program in California. The authors conducted a retrospective cohort study; the cohort comprised first and second graders who attended the day care program during the last week in August 1999. Shiga toxin testing and molecular subtyping using pulsed-field gel electrophoresis were performed on isolates. Lake water, lake bottom sediment samples, and waterfowl feces from the lake environs were cultured for E. coli O157. Three cases of Shiga toxin-producing E. coli O157: NM infections with matching pulsed-field gel electrophoresis patterns and four probable cases were found. Children who swallowed more than a mouthful of water had a higher attack rate than those who swallowed less than a mouthful or none at all (43% vs. 10%, relative risk = 4.43, 95% confidence interval 1.12, 17.50). E. coli O157: NM infections were associated with swallowing water from a freshwater lake. Potential sources of contamination include feces from humans, cattle, or deer. This outbreak illustrates the value in screening patients with diarrhea for E. coli O157, submitting isolates to public health laboratories, and using molecular techniques to identify related cases. Outbreaks associated with contaminated freshwater could be averted by prevention and early detection of contamination.