Low Exposure Conditions Research Articles

Non-Conscious Affective Processing in Asset Managers during Financial Decisions: A Neurobiological Perspective

In the world of finance, considerable attention is given to improving machine learning techniques to predict the future of stock markets. However, for obvious reasons, this turns out to be an unsolvable mission, most likely because the real world is not driven by algorithms but by human beings. In response to this, the present study has its focus on raw affective responses in actual asset managers during their decision making regarding controlled financial scenarios. Nineteen asset managers were invited and asked to make sell/buy decisions related to visual presentations of three different price developments of different assets. The three scenarios were “crash”, “stable” and “gain”. Parallel to their decision making, startle reflex modulation (SRM) was used to measure non-conscious affective responses without demanding any respective explicit responses (no conscious language processing involved). Interestingly, two further factors were introduced. First, all participants had to make their decisions once while being informed that 0% prior investments (low exposure) have been made into the presented assets, and once being informed that a large investment consisting of 25% of ones’ overall portfolio has been made prior to making the decision (high exposure). Second, the factor experience was included dividing all participants into two groups, one with low experience and the other with high experience. First, across both these extra factors, it was found that “crash” scenarios resulted in the most negative affective responses. The most positive affective responses were found for “gain” scenarios, while the “stable” condition was in between. Interestingly, the factor of prior investment (i.e., exposure) had an effect. Non-conscious affective responses during decision making related to the “stable” condition varied as a function of “exposure”. In the low exposure condition, affective responses to decision making during the “stable” scenario were most negative, even more negative than in “crash” scenarios. The factor experience also had an effect, but due to the small sample size, no significant interaction occurred. However, t-tests revealed the same significant effects in the experienced group as found in the 0% prior investment condition. To our knowledge, this is the first empirical investigation measuring non-conscious affective responses during decision making in the context of asset management. Thus, this study might form an interesting basis for new strategies to explore non-conscious human brain functions instead of inventing new algorithms to make asset management more successful.

MgMnxOy-GAC particle electrode for effective peroxone oxidation: High salinity organic wastewater treatment with synergistic electrocatalytic ozonation

A three-dimensional electro-peroxone (3D-EP) system achieved efficient degradation of high salinity organic wastewater and showed significant implications for potential application. Herein, an MgMn-granule-activated carbon (GAC) particle electrode was developed through impregnation calcination and applied in multipollutant removal. The integration of electrolysis, ozone application, and MgMn-GAC in the 3D-EP system manifested strong synergy, leading to successful elimination of all phenol within 30 min due to ample hydroxyl radical production. The energy consumption of MgMn-GAC was 1.86 kWh·m−3 and the specific energy consumption was 0.033 kWh·g−1 COD, exhibiting high electrical energy utilization efficiency under low applied current and low O3 exposure conditions. After six consecutive reaction experiments, COD removal reached 95.6 %, demonstrating remarkable catalytic activity and cycling stability. The study findings indicate that this material could be used as a low-cost particle electrode for practical wastewater treatment.

Analysis of the association between diurnal temperature difference and relative humidity and myocardial infarction in Shantou residents

Objective: To analyze the effect of meteorological conditions on mortality and population susceptibility of patients with acute myocardial infarction (AMI) in the Shantou area and to provide a scientific basis for the local public health system to prevent AMI. Methods: The AMI mortality data recorded in the resident cause of death surveillance database of Shantou from January 1, 2015, to December 31, 2020, were collected and the distribution lag nonlinear model was used to analyze the diurnal temperature range (DTR) and relative humidity (RH) on AMI mortality and the lag effect. Results: There were 13 932 deaths due to AMI in Shantou during the study period, with a male-to-female sex ratio of 1.3∶1. There was a significant association between high diurnal temperature difference exposure and low RH exposure and AMI deaths, with both single-day lag effects appearing and reaching a maximum at lag 2 day (RR=1.019, 95%CI: 1.000-1.039; RR=1.018, 95%CI: 1.003-1.034); the cumulative lag effect was all maximal at lag 0-14 day (RR=1.199, 95%CI: 1.025-1.401; RR=1.279, 95%CI: 1.117-1.465). The elderly (≥75 years) and female populations were susceptible to high DTR exposure and low RH exposure conditions. Conclusions: There was a significant association between DTR and RH and mortality of AMI in Shantou with a significant lag in their effects. Both female and elderly populations ≥75 years old were susceptible populations under high DTR and low RH exposure conditions.

Durability Assessment of the Laureano Gómez Bridge: a Key Element for New Colombian Infrastructure

AbstractThe durability of reinforced concrete bridges is crucial for ensuring their long‐term functionality and safety. Among the various deterioration mechanisms, carbonation and chlorides are the most significant and widespread problems affecting these structures. This paper aims to assess the durability condition of the historical Colombian Bridge “Laureano Gómez”, which has been in service for over 40 years. The condition assessment involved measurements of the concrete cover, carbonation depths, concrete resistivity, compressive strength, crack survey, and visual inspection of the steel surface. Estimating the remaining service life showed that the stay elements are the most prone to steel depassivation due to carbonation, primarily due to low concrete cover and exposure conditions. The insights from this study could provide valuable information for the durability prognosis of the new bridge built next to it.

Reducing Campylobacter colonization in broilers by active immunization of naive broiler breeders using a bacterin and subunit vaccine

Campylobacter is the main cause of human gastroenteritis worldwide, with 50 to 80% of the cases related to consumption of poultry products. Maternal antibodies (MAB) from commercial breeder flocks may protect their progeny against infection during the first few weeks of life. We here studied the prevalence of Campylobacter antibody titers in broiler breeder flocks and to which extent immunization of broiler breeders increases maternal anti-Campylobacter titers in their progeny and protects the offspring against Campylobacter colonization. Two vaccines were used: a bacterin mix of 13 Campylobacter strains and a subunit vaccine comprising 6 immunodominant Campylobacter antigens. All sampled on-farm breeder flocks were positive for anti-Campylobacter antibodies, yet in some breeder flocks only very low titers were detected. Vaccination of SPF broiler breeder flocks with both subunit and bacterin vaccines resulted in a prolonged presence of anti-Campylobacter antibodies in the serum and intestinal mucus of chicks. These bacterin- or subunit vaccine-induced MAB conferred protection against Campylobacter colonization in chicks until 7 and 21 d of age, respectively, but only at a low challenge dose (102.5 cfu). The concentration of MAB in the mucus is probably too low to sufficiently capture Campylobacter when higher challenge doses are used. In conclusion, vaccinating broiler breeders protects their offspring against Campylobacter colonization under low pathogen exposure conditions.

Hazard characterisation for significant mycotoxins in food.

This review updates the current status of activities related to hazard characterisation for mycotoxins, with special reference to regulatory work accomplished within the European Union. Because the relevant information on these topics is widely scattered in the scientific literature, this review intends to provide a condensed overview on the most pertinent aspects. Human health risk assessment is a procedure to estimate the nature and potential for harmful effects of mycotoxins on human health due to exposure to them via contaminated food. This assessment involves hazard identification, hazard characterisation, exposure assessment, and risk characterisation. Mycotoxins covered in this review are aflatoxins, ochratoxin A, cyclopiazonic acid, citrinin, trichothecenes (deoxynivalenol, nivalenol, T-2, and HT-2 toxins), fumonisins, zearalenone, patulin, and ergot alkaloids. For mycotoxins with clear genotoxic/carcinogenic properties, the focus is on the margin of exposure approach. One of its goals is to document predictive characterisation of the human hazard, based on studies in animals using conditions of low exposure. For the other, non-genotoxic toxins, individual 'no adverse effect levels' have been established, but structural analogues or modified forms may still complicate assessment. During the process of hazard characterisation, each identified effect is assessed for human relevance. The estimation of a 'safe dose' is the hazard characterisation endpoint. The final aim of all of these activities is to establish a system, which is able to minimise and control the risk for the consumer from mycotoxins in food. Ongoing research on mycotoxins constantly comes up with new findings, which may have to be implemented into this system.

Reproductive Effects of S. boulardii on Sub-Chronic Acetamiprid and Imidacloprid Toxicity in Male Rats.

The potential health-promoting effects of probiotics against intoxication by pesticides is a topic of increasing commercial interest with limited scientific evidence. In this study, we aimed to investigate the positive effects of probiotic Saccharomyces boulardii on the male reproductive system under low dose neonicotinoid pesticide exposure conditions. We observed that acetamiprid and imidacloprid caused a degeneration and necrosis of the spermatocytes in the tubular wall, a severe edema of the intertubular region and a hyperemia. This was concomittant to increased levels of 8-hydroxy-2'-deoxyguanosine reflecting oxidative stress, and an increase in caspase 3 expression, reflecting apoptosis. According to our results, Saccharomyces boulardii supplementation mitigates these toxic effects. Further in vivo and clinical studies are needed to clarify the molecular mechanisms of protection. Altogether, our study reinforces the burden of evidence from emerging studies linking the composition of the gut microbiome to the function of the reproductive system.

Growth response of Echinacea purpurea (L) Moench to biochar types and hormone doses

Purple Cone Flower (Echinacea purpurea) is one of the introduced medicinal plants originating from America which has its native habitat growing in subtropical countries with optimal growth conditions of low temperature and full sun exposure. Problems that occur in climate change between subtropics and tropics, especially in Indonesia will have an impact on the less than optimal growth and development of plants so that it will reduce the production and quality of ekinase yields. One way to improve ekinase can suitable in Indonesia (especially in the lowlands) is by adding biochar as a soil enhancer and hormones. The aims to study the interaction between the addition of biochar and the level of hormone dose on the growth rate of ekinase. The research method used a Split-Plot Completely Randomized Block Design. The results show the interaction between the type of biochar and hormone dose. The best results were shown in the treatment of giving husk charcoal and 6 ml/L hormones of 27.67 cm for plant height and 89.67 cm2 for leaf area. The formation of the highest number of leaves was 26 in the treatment of husk charcoal and hormone 2 ml/L. The best results were wood charcoal and hormone treatment 6 ml/L of 0.1467 for the rate of photosynthesis and 0.02937 for the rate of transpiration. Treatment with a dose of 6 ml/L hormone can optimize the growth rate of ekinase.

Oxidation of Supported Nickel Nanoparticles at Low Exposure to O2: Charging Effects and Selective Surface Activity.

The oxidation of Ni nanoparticles supported on highly oriented pyrolytic graphite was investigated under conditions of low exposure to oxygen by methods of scanning tunneling microscopy and spectroscopy. It was found that charge transfer effects at the Ni-C interface influenced the surface activity of the nanoparticles. The O2 dissociation and the Ni oxidation were shown to occur only at the top of the nanoparticle, while the border of the Ni-C interface was the less preferable area for these processes. The O2 dissociation was inhibited, and atomic oxygen diffusion was suppressed in the given nanosystem, due to the decrease in holes concentration.

Hydrogens and hydrogen-bond networks in macromolecular MicroED data

Microcrystal electron diffraction (MicroED) is a powerful technique utilizing electron cryo-microscopy (cryo-EM) for protein structure determination of crystalline samples too small for X-ray crystallography. Electrons interact with the electrostatic potential of the sample, which means that the scattered electrons carry information about the charged state of atoms and provide relatively stronger contrast for visualizing hydrogen atoms. Accurately identifying the positions of hydrogen atoms, and by extension the hydrogen bonding networks, is of importance for understanding protein structure and function, in particular for drug discovery. However, identification of individual hydrogen atom positions typically requires atomic resolution data, and has thus far remained elusive for macromolecular MicroED. Recently, we presented the ab initio structure of triclinic hen egg-white lysozyme at 0.87 Å resolution. The corresponding data were recorded under low exposure conditions using an electron-counting detector from thin crystalline lamellae. Here, using these subatomic resolution MicroED data, we identified over a third of all hydrogen atom positions based on strong difference peaks, and directly visualize hydrogen bonding interactions and the charged states of residues. Furthermore, we find that the hydrogen bond lengths are more accurately described by the inter-nuclei distances than the centers of mass of the corresponding electron clouds. We anticipate that MicroED, coupled with ongoing advances in data collection and refinement, can open further avenues for structural biology by uncovering the hydrogen atoms and hydrogen bonding interactions underlying protein structure and function.

Permafrost evolution in a mountain catchment near Santiago de Chile

The Chilean Central Andes near Santiago are a semi-arid region with substantial frozen water reserves in their high altitude cryosphere. Millions of people depend on the Andean cryosphere for freshwater supply. Over the last sixty years, global warming has altered the mountains’ water balance, as the temperature rose, precipitation decreased, and deglacierization exposed hundreds of square kilometers. The distribution of solid water stored in soil permafrost and the potential effects of climate change on it are unknown.Here, we map favorable spots for permafrost occurrence at the “Monos de Agua” catchment, Aconcagua basin at 33°S, between 3600 and 5100 m a.s.l.. We identify these “cold spots” based on ground surface temperature and incoming solar radiation between 2017 and 2019. We suggest that these locations currently present permafrost and frozen water might actually be there. We confirmed a body of frozen water at one of these cold spots using an electrical resistivity survey.Our mapping suggests that at least 15 ± 7% of the catchment's surface is underlain by permafrost. Permafrost occurrence begins around 3600 m a.s.l. with low probability and only at locations with favorable conditions of low exposure and isolation. Permafrost occurrence probability increases with altitude, with the largest fraction present above 4200 m a.s.l.Our results suggest that the permafrost area in this region will decrease between 13 and 87% by the end of the century under the future global warming RCP scenarios. This event represents new challenges for the hydrological memory and water security planning in the Chilean Central Andes.

Application of non-uniformity correction framework in digital breast tomosynthesis by incorporating a total variation penalty

Digital breast tomosynthesis (DBT) is well-established in breast imaging modality to overcome the loss of depth-information in a three-dimension (3D) object in 2D mammography. However, the reconstructed DBT images suffer from shading artifacts caused by scatter radiation, beam-hardening effect, and unique geometric conditions. In this study, we investigated the application of a non-uniformity correction framework with TV-penalty in the DBT system for substantial improvement of its image visibility. We modeled a modified solver to estimate the non-uniformity field component, which is inspired by the normalized intensity-gradient joint-histogram-based energy minimization. The proposed framework was compared to the reference slice with only primary component in Monte-Carlo simulation and the uniformity was experimentally improved using the projection at low exposure condition. To quantitative evaluate image performance, percent integral uniformity (PIU) was calculated in acquired images. Our results indicated that the proposed framework well-operated to compensate for distorted flatness due to beam hardening, scatter, and unique DBT geometry. Especially, the measured PIU value of the corrected DBT slice was 14.2, it is almost same compared to that of mono-energy DBT slice (primary only) in simulation study. Moreover, the profile flatness of the corrected DBT slice was significantly improved from conventional DBT slice with much noise component. The uniformity correction of the DBT slice is necessary to reduce the misdiagnosis. Consequently, our results demonstrate that the proposed framework successfully corrects the non-uniformity at low X-ray exposure condition, and its scheme is expected to be applicable for efficient DBT imaging performance.

A Deep Hybrid Few Shot Divide and Glow Method for Ill-Light Image Enhancement

Images captured in low and ill-lighting conditions with non-uniform illumination distribution contain over-exposed and under-exposed regions simultaneously. The existing methods use handcrafted parameters for the ill-posed image decomposition and rely on image pairs or priors. The capacity of these models is limited to specific lighting conditions. The existing deep learning-based models are also not competitive when there is a lack of large-scale dataset, and some models even require paired training data. But in practice, it is challenging to capture low-light and normal-light images of the same scene. In this paper, we propose a few shot divide and glow (FSDG) method to enhance low ill-light images without exactly relying on the large scale and paired training data. We divide the input images into reflection ${R}$ and illumination transmission $T$ components by using MID-Net and amplify the illumination map in a Glow-Net . A contrast enhancement strategy is proposed to upgrade image division, which maintains regularization consistency for a few- shot divide and glow network (FSDG-Net). The FSDG-Net is end-to-end trained to learns from the correlation consistency of the input image decomposition itself. Experiments are organized under both very low exposure and ill-light conditions, where a new dataset is also proposed with challenging test images. Results show that our method consistently shows the superior performance when comparing to other state-of-the-art approaches.

Identifying Genes Involved in alkaloid Biosynthesis in Vinca minor Through Transcriptomics and Gene Co-Expression Analysis.

The lesser periwinkle Vinca minor accumulates numerous monoterpene indole alkaloids (MIAs) including the vasodilator vincamine. While the biosynthetic pathway of MIAs has been largely elucidated in other Apocynaceae such as Catharanthus roseus, the counterpart in V. minor remains mostly unknown, especially for reactions leading to MIAs specific to this plant. As a consequence, we generated a comprehensive V. minor transcriptome elaborated from eight distinct samples including roots, old and young leaves exposed to low or high light exposure conditions. This optimized resource exhibits an improved completeness compared to already published ones. Through homology-based searches using C. roseus genes as bait, we predicted candidate genes for all common steps of the MIA pathway as illustrated by the cloning of a tabersonine/vincadifformine 16-O-methyltransferase (Vm16OMT) isoform. The functional validation of this enzyme revealed its capacity of methylating 16-hydroxylated derivatives of tabersonine, vincadifformine and lochnericine with a Km 0.94 ± 0.06 µM for 16-hydroxytabersonine. Furthermore, by combining expression of fusions with yellow fluorescent proteins and interaction assays, we established that Vm16OMT is located in the cytosol and forms homodimers. Finally, a gene co-expression network was performed to identify candidate genes of the missing V. minor biosynthetic steps to guide MIA pathway elucidation.

Burden of cancer and human exposure to chemicals

Abstract Cancer has important impacts on the EU's health systems and economies, with around 3 million new patients diagnosed each year. However, up to 40% of cancers are attributed to preventable causes. For these reasons, cancer is one of the main priorities of the EC in the health domain. The new Europe's Beating Cancer Plan of the EC, to be launched at the end of 2020, aims to support EU Member States to improve cancer control and care, by proposing actions at every key stage of the disease: prevention (lifestyle, pollution, vaccination), diagnosis, treatment and survivorship. Reliable cancer statistics are essential to propel both epidemiological research and political decision making, and provide the supporting evidence to allow assessment of best practices in all those key stages. To this purpose, the European Cancer Information System (ECIS), built on European population-based cancer registries' data, provides the latest information on indicators that quantify the burden of cancer in Europe. It permits the exploration of geographical patterns and temporal trends of incidence, mortality and survival by granting access to harmonised and validated cancer incidence data. Population-based cancer registries have been essential in many of the epidemiological studies that led to the identification of several carcinogens in the work place as well as those linked to certain lifestyle habits such as tobacco and alcohol consumption. However, In conditions of low exposure, the identification of cancer hazards has remained largely inconclusive, due to the unavailability of sufficient exposure data and appropriate models that can account for multiple exposures over extended periods. The linkage between cancer registries data and administrative databases, biobanks, environmental data and extensive lifestyle questionnaires could help identifying or consolidate the available information on emerging carcinogens and populations at risk, thus allowing the development of preventable measures.

Effects of short-term exposure to particulate matter air pollution on cognitive performance

This paper assesses the effect of short-term exposure to particulate matter (PM) air pollution on human cognitive performance via a double cross over experimental design. Two distinct experiments were performed, both of which exposed subjects to low and high concentrations of PM. Firstly, subjects completed a series of cognitive tests after being exposed to low ambient indoor PM concentrations and elevated PM concentrations generated via candle burning, which is a well-known source of PM. Secondly, a different cohort underwent cognitive tests after being exposed to low ambient indoor PM concentrations and elevated ambient outdoor PM concentrations via commuting on or next to roads. Three tests were used to assess cognitive performance: Mini-Mental State Examination (MMSE), the Stroop Color and Word test, and Ruff 2 & 7 test. The results from the MMSE test showed a statistically robust decline in cognitive function after exposure to both the candle burning and outdoor commuting compared to ambient indoor conditions. The similarity in the results between the two experiments suggests that PM exposure is the cause of the short-term cognitive decline observed in both. The outdoor commuting experiment also showed a statistically significant short-term cognitive decline in automatic detection speed from the Ruff 2 and 7 selective attention test. The other cognitive tests, for both the candle and commuting experiments, showed no statistically significant difference between the high and low PM exposure conditions. The findings from this study are potentially far reaching; they suggest that elevated PM pollution levels significantly affect short term cognition. This implies average human cognitive ability will vary from city to city and country to country as a function of PM air pollution exposure.

Flore du Jurassique basal de la ville de Mende (Lozère) : synthèse des gisements historiques, nouvelles données sédimentologiques, paléontologiques et paléoenvironnementales

During the 20th century, because of urbanization, most palaeontological sites yielding plants (Hettangian–Sinemurian in age) from the city of Mende have disappeared, or they have been forgotten. This article presents a synthesis of sites yielding plants, from their discoveries in the 19th century to recent prospecting. New lithostratigraphic and palaeobotanical data are brought for two historic sites (Ravin del Pouset and Petit Séminaire), as well as two new localities (Causse d’Auge road and Gardès road). This study reveals the diversity of plant-containing lithofacies (dolomudstone, marl, limestone/calcarenite and oo-bioclastic limestone) and the diversity of plant preservations (charcoalified compressions with or without cuticle, isolated cuticle, external casts/impressions). Microfaciological study of plant beds demonstrates the diversity of depositional environments. Protected, restricted and shallow environments with low wave exposure and probable euryhaline conditions are clearly the most favourable to the accumulation and the preservation of fossil plants. These early Liassic palaeofloras, among the southernmost yet reported for Laurasia, are of significance for the plant geography and global paleoecology at that time.

Multiscale imaging of plant development by light-sheet fluorescence microscopy.

Light-sheet fluorescence microscopy (LSFM) methods collectively represent the major breakthrough in developmental bio-imaging of living multicellular organisms. They are becoming a mainstream approach through the development of both commercial and custom-made LSFM platforms that are adjusted to diverse biological applications. Based on high-speed acquisition rates under conditions of low light exposure and minimal photo-damage of the biological sample, these methods provide ideal means for long-term and in-depth data acquisition during organ imaging at single-cell resolution. The introduction of LSFM methods into biology extended our understanding of pattern formation and developmental progress of multicellular organisms from embryogenesis to adult body. Moreover, LSFM imaging allowed the dynamic visualization of biological processes under almost natural conditions. Here, we review the most important, recent biological applications of LSFM methods in developmental studies of established and emerging plant model species, together with up-to-date methods of data editing and evaluation for modelling of complex biological processes. Recent applications in animal models push LSFM into the forefront of current bio-imaging approaches. Since LSFM is now the single most effective method for fast imaging of multicellular organisms, allowing quantitative analyses of their long-term development, its broader use in plant developmental biology will likely bring new insights.

Hearing Sex at the Cocktail Party: Biased Sex Ratios Influence Vocal Attractiveness

ABSTRACTVisual exposure to unbalanced sex ratios influences perceived facial attractiveness for opposite-sex faces. When opposite-sex faces are scarce they are rated as more attractive than when they are plentiful. The current work examines a vocal-auditory analog of this effect. Participants were assigned to either a high or low opposite-sex vocal exposure condition and reported summary statistics by estimating the percentage of male and female voices in an array of simultaneous talkers. Participants then rated the attractiveness of individual opposite-sex voices. Those in the low opposite-sex exposure condition rated subsequent individual voices of the opposite sex as significantly more attractive than those who were in the high opposite-sex exposure condition. The findings demonstrate that a core visuo-perceptual aspect of mate selection preference also occurs in the auditory domain. The results are consistent with the idea that the attractiveness of opposite-sex partners is an honest signal of fitness and involves multimodal processes that are quickly modulated by the perceived availability of opposite-sex partners in a local environment.

Tracing platinum accumulation kinetics in oyster Crassostrea gigas, a sentinel species in coastal marine environments

Platinum Group Elements (PGEs) are extremely scarce in the Earth's Crust and of strong interest for high-end technologies due to their specific properties. They belong to the Technology Critical Elements (TCEs) for which use is forecast to increase, implying growing emissions into the environment in the following years. In particular, with the intensive use of platinum (Pt) in car catalytic converters, the anthropogenic geochemical cycle of this element has surpassed the natural cycle. Yet, environmental Pt levels are still in the sub picomolar range, making its analytical detection a challenge. Few studies cover the behavior of Pt in marine waters in terms of speciation, reactivity and possible transfer to the biota. In this study, oysters (Crassostrea gigas) from an unpolluted estuary were exposed to the stable isotope 194Pt in seawater at a range of concentrations during 35days. Seawater was renewed daily and spiked to three nominal Pt concentrations (50, 100, and 10,000ng·L−1) for two replicate series. In addition, control conditions were monitored. Five oysters from each tank were dissected after 3, 7, 14, 21, 28, 35days of Pt exposure, and analyzed by ICP-MS. Accuracy of this analytical method applied to biological matrix was checked by an inter-method comparison with a voltammetrical technique. A concentration-dependent accumulation of Pt in oysters increasing with exposure time occurred. After 28days, oyster Pt accumulation from low and intermediate exposure conditions reached a plateau. This was not the case of the highest exposure condition for which oyster tissues showed increasing concentrations until the last day of the experiment. A linear correlation exists between seawater concentrations and Pt content in oysters for low and intermediate exposure concentrations i.e. closer to environmental concentrations. By showing high Pt accumulation potential, oysters may serve as sentinels, ensuring biomonitoring of Pt concentrations in marine coastal waters.