Contamination Threshold Research Articles

A combination of finite mixture distribution model with geo-statistical models to study spatial patterns and hazardous areas of heavy metals in cropland soils of the Guanzhong Plain, Northwest China

An extensive cropland soil investigation was conducted to determine the pollution thresholds and hazardous zones of heavy metals (HMs) in the Guanzhong Plain, by using an integrated approach that combines finite mixture distribution model (FMDM) and geo-statistical analysis. FMDM results demonstrated that Pb, Cr, Ni, and Cu were fitted by binary mixture distributions representing the background and moderate pollution distributions, and Zn was fitted by a triple mixture distribution representing the background, moderate and high contamination distributions. The moderate pollution thresholds of Pb, Cr, Ni, Zn and Cu calculated by FMDM were 29.75, 80.15, 38.60, 81.48 and 27.10 mg kg−1, whereas the cutoff value of Zn high contamination was 97.49 mg kg−1. The moderately polluted thresholds of all five HMs were higher than their background values in the study area, and lower than the corresponding national standards. The indicator kriging simulation showed Pb, Cr, Ni, Zn had <0.1%, 2.6%, <0.1%, 2.9% of total areas exceed contamination cutoff values, whereas the hazardous area of Cu was contiguous, and covered 17.3% of the total area. Overall, 17.5% of the total area surpassed the moderate contamination threshold. The pollution hot spots and hazardous zones of soil HMs were located in the southern part of the Guanzhong Plain, where population and industrial activities are centralized, indicating that anthropogenic activities played a critical role in HMs accumulation in high-risk regions. The combination of geo-statistical and FMDM delineate the thresholds and hazardous area for HMs pollution reliably, and facilitate the improvement of soil environmental management.

Analysis of lead (Pb) levels in water, sediment and mollusks in secondary irrigation channels in Gorontalo Province, Indonesia

Abstract. Tahir IA, Lamondo D, Baderan DWK. 2020. Analysis of lead (Pb) levels in water, sediment and mollusks in secondary irrigation channels in Gorontalo Province, Indonesia. Intl J Bonorowo Wetl 11: 1-6. This study was conducted in July-August 2020 in the secondary irrigation channels of Gorontalo Province, aimed to determine the lead content in the water, sediment and gastropods in the channels. The sampling points were located in four sub-districts, i.e., North Bulango Sub-district, Sipatana Sub-district, Central City Sub-district and Hulonthalangi Sub-district. The samples were analyzed using Atomic Absorption Spectrophotometer (AAS). The data were analyzed qualitatively by comparing them with the contamination thresholds set by the government of Indonesia. The results showed that the levels of lead in water in the four stations were 0.37 mg/L, 1.30 mg/L, 1.69 mg/L and 0.38 mg/L, respectively, in the sediment 1.1268 ppm, 0.9719 ppm, 0.7602 ppm, and 0.5290 ppm, respectively, and in each mollusk species, i.e., Bellamnya sp. 0.2924 mg/kg, Pomacea canaliculata 0.2413 mg/kg and Pomacea canaliculata 0.1873 mg/kg. The lead levels in the water, sediment and gastropods in the study sites exceeded the contamination thresholds set by the Indonesian government.

Metal Contents of Lake Fish in Area Close to Disposal of Industrial Waste.

This research was conducted to analyze the content of Fe, Cu, Cd, Cr, and Pb in several species of fish taken from three lakes that are close to the disposal of industrial waste in Indonesia. The fish samples were taken from three lakes, namely, Muara Angke, Weda, and Morowali. The samples from Morowali were analyzed in April 2019, those from Weda from November to December 2019, and those from Muara Angke in June 2018. All the samples were then analyzed at the Chemistry Laboratory of the Department of Chemistry, Faculty of Mathematics and Natural Science, University of Indonesia, and the Integrated Laboratory of IPB. The main results showed that all types of fish from Morowali and Weda were no longer safe to consume because they contained Fe, Cu, Cd, and Cr exceeding the threshold of metal contamination. Meanwhile, all types of fish from Muara Angke, except for ayam-ayam, are still safe for consumption. The results of this study can be a source of information regarding metal content in fish and fish feed for safe consumption. Given the high consumption rate of fish and the hazards of heavy metals on humans' health, such research must be furthered.

Application of the improved multi-electrode electrical exploration methods for groundwater investigation in Vientiane Province, Laos

The purpose of this study is to evaluate the effectiveness of the multi-electrode electrical resistivity methods and to better understand the aquifers in Laos. The improved multi-electrode electrical exploration (IMEE) methods and a SuperSting R8/IP system with 56 electrodes have been used to measure ten 2D-electrical resistivity and three induced polarization profiles, of maximum length 550 m, at four sites in the Phonhong and Thoulakhom districts of Vientiane province, Laos. The results revealed moderate resistivity regions (18–80 Ohm m) that correspond well with low chargeability values (0–21 ms) at depths from 22 to 100 m, indicating possible suitable layers of good quality groundwater. These results agree well with data from borehole 1 drilled in the Phonhong district, which indicated the location of the water table at 20 m depth where samples extracted from the drill cores have been identified as gravel and siltstone. Analyses of water samples from different existing and new wells in the survey areas, including Total dissolved solids (TDS), Electrical conductivity (EC) and pH, revealed mean values lower than the contamination thresholds, confirming that the water is suitable for drinking without causing health risk. The obtained results provide new information leading to a better understanding of the structural framework of the study area. These results also demonstrate that the IMEE methods may be an efficient tool for groundwater investigation in Vientiane Province, Laos, and these methods can be applied for groundwater exploration all over the world.

Reliability metrics and their management implications for open pond algae cultivation

The prevalence of contaminating organisms in outdoor algae cultivation, with the often-associated dramatic crop failures, necessitates the need for metrics describing production system reliability. Standard metrics for algae cultivation reliability are critically needed to be able to map improvements in operational parameters, but do not currently exist. In this work, we present a set of standard metrics including mean time to failure (MTTF) and mean time between failures (MTBF) as the basis for the calculation of pond failure rate (FR) and reliability coefficient (RC). Metrics associated with the numbers of contaminating organisms such as abundance ratio (AR), prevalence of infection (PI), and mean intensity of infection (MII) are also relevant. These metrics, based on measured experimental values of outdoor pond performance during the Algae Testbed Public-Private Partnership (ATP3) Unified Field Studies (UFS), provide a basis for quantifying pond failure and provide insight into potential pond management and contaminant mitigation strategies. From these reliability metrics applied to this dataset, we are able to link operational parameters, such as harvest frequency and inoculum source, to pond reliability for different algae strains and seasons, and from an assessment of AR, provide contamination thresholds beyond which a culture may be unrecoverable. Ultimately, the implementation of widely-practiced and simple-to-calculate algae pond reliability metrics calculated from rapid and easy to collect data or observations will reduce risk and uncertainty in large-scale algae deployment and aid in the development of integrated pest management (IPM) strategies.

Stochastic reliability-based risk evaluation and mapping for watershed systems and sustainability (STREAMS)

Mitigating water contamination, improving water security, and increasing sustainability involve environmental awareness and conscientious decision-making by denizens and stakeholders. Achieving such awareness requires visually compelling geospatial decision-making tools that take into account the probabilistic and spatially distributed nature of water contamination. Inspired by the success of weather maps, this paper presents a novel STochastic Reliability-based Risk Evaluation And Mapping for watershed Systems and Sustainability (STREAMS) tool that produces and effectively communicates the risk of water contamination as maps. STREAMS is integrated with ArcGIS geoprocessing tools and uses physics-based reliability theory to compute the spatial distribution of risk, which is defined as the probability of exceeding a safety threshold of water contamination within a watershed. A quantitative analysis of the efficacy of mitigation strategies is conducted by estimating risk reduction from best management practices throughout the entire watershed. Two case studies at different spatial scales are presented, demonstrating STREAMS application to watersheds with varied properties.

Statistical analysis of 222Rn concentration in Zamzam and other water sources in the Kingdom of Saudi Arabia

In the present study, six water samples were collected from different locations in the Kingdom of Saudi Arabia and another sample from the Zamzam site in Makkah city. The concentration of the radioactive isotope 222Rn was measured using the electronic radon detector (RAD7). The comparative analysis study on these samples showed that the average concentration value in all samples was 0.504Bq/L. The data analysis showed that the concentration of 222Rn was ranged from 0.43 ± 0.06 Bq/L to 0.57 ± 0.060 Bq/L for all samples. These levels are below the contamination threshold (11.1 Bq/L) recommended by the US Environmental Protection Agency (EPA). Interestingly, Radon radioactivity levels were lower than those harmful to human health. The principal component analysis (PCA) using (SPSS version 15) was used to reduce the four variables influencing the 222Rn activity concentration to two variables: temperature (correlation coefficient, R2: 0.984) and the relative humidity (RH%) (R2:-0.987). The increase in temperature reduces the solubility of 222Rn gas activity water and facilitates its detection, whereas increased the RH% increases its solubility and decreases the detection level of 222Rn activity concentration. The interaction between temperature and RH% does not affect the concentration of 222Rn.

Combining finite mixture distribution, receptor model, and geostatistical simulation to evaluate heavy metals pollution in soils: Source and spatial pattern

AbstractSoil heavy metals (HMs) pollution has caused significant land degradation by affecting soil properties and functions. Clarifying sources and spatial distributions of soil HMs is necessary for the investigation of land degradation, but lacks accurate and efficient methods. This study proposes a combined method for improving source apportionment and spatial prediction of soil HMs. Finite mixture distribution modelling (FMDM) was used to explore the backgrounds and contamination thresholds, and can verify the source contribution calculated by positive matrix factorization (PMF). To improve the efficiency of traditional multivariate geostatistical simulation, independent component analysis and sequential Gaussian simulation were integrated into geostatistical independent simulation for revealing the spatial patterns and the polluted areas. The combined method was applied to an HMs dataset of Longkou City, eastern China as a case‐study. Both PMF and FMDM produced three sources of HMs. Cr and Ni were dominated by natural sources. Agricultural inputs mainly affected Cd, Cu, and Zn concentrations. Hg, 66.8%, and Pb, 8.1%, originated from industrial, mining, and traffic emissions. Hazardous areas exceeding moderate pollution cutoffs comprised 203.88 km2, accounting for 23.2% of the study area. Less than 0.1% of the areas for all HMs were identified as hazardous zones exceeding the high pollution thresholds. The reasonable management of industrial and agricultural activities, traffic emissions, and mining could have an important influence on the protection of land resources. Combining FMDM, PMF, and geostatistical independent simulation proved valid for investigating the land degradation due to HMs pollution.

Modelling the potential role of media campaigns on the control of Listeriosis.

Human Listeria infection is a food-borne disease caused by the consumption of contaminated food products by the bacterial pathogen, Listeria. In this paper, we propose a mathematical model to analyze the impact of media campaigns on the spread and control of Listeriosis. The model exhibited three equilibria namely; disease-free, Listeria-free and endemic equilibria. The food contamination threshold is determined and the local stability analyses of the model is discussed. Sensitivity analysis is done to determine the model parameters that most affect the severity of the disease. Numerical simulations were carried out to assess the role of media campaigns on the Listeriosis spread. The results show that; an increase in the intensity of the media awareness campaigns, the removal rate of contaminated food products, a decrease in the contact rate of Listeria by humans results in fewer humans getting infected, thus leading to the disease eradication. An increase in the depletion of media awareness campaigns results in more humans being infected with Listeriosis. These findings may significantly impact policy and decision-making in the control of Listeriosis disease.

Cadmium threshold for acidic and multi-metal contaminated soil according to Oryza sativa L. Cadmium accumulation: Influential factors and prediction model

Cadmium (Cd) contamination in soil-rice systems has become a global public concern. However, influencing factors and the contamination threshold of Cd in soils remain largely unknown owing to soil heterogeneity, which limits our ability to assess the risk to human health and to draft appropriate environmental policies. In this study, we selected the soil-rice system of Longtang and Shijiao town in southern China, which was characterized by multi-metal acidic soil contamination due to improper electronic waste recycling activities, as a case to analyze the influence of different soil properties on the Cd threshold in the soil and Cd accumulation in rice. The results showed that soil organic matter (SOM) was the main factor regulating Cd accumulation in the soil-rice system. Moreover, compared with the total Cd concentration, the DTPA-extractable Cd concentration in the soil was a better predictor of Cd transportation in the soil-rice system. According to the prediction model, when SOM was < 35 g kg−1, the CdDTPA threshold was 0.16 mg kg−1 with a 95% likelihood of Cdrice accumulation above the Chinese food standard limit (0.2 mg kg−1). Conversely, when SOM was ≥ 35 g kg−1, the CdDTPA threshold was only 0.03 mg kg−1. This study of the influence of SOM on Cd accumulation in a soil-rice system confirms that SOM is a crucial parameter for better and safer rice production, especially in multi-metal contaminated acidic soils.

Contamination Profile of the Mini C-Arm Fluoroscopy Unit in Orthopedic Surgery

Category:Other; AnkleIntroduction/Purpose:Fluoroscopy is critical for orthopaedic surgery. The mini C-arm is popular among foot and ankle surgeons owing ease of easy, maneuverability, and cost effectiveness. However, there are concerns that the mini C-arm may represent a potential source of contamination and increasing the risk of postoperative infection. Evaluation of large c-arm drapes have shown high rates of contamination. However, the mini C-arm may be even more concerning due to how it is handled. The mini c-arm is continuously manipulated by the surgical team who then return to the surgical field carrying with them any potential cross-contamination.Objective: We hypothesize that there is significant contamination of the drape, and that specific locations of the drape are at higher risk.Methods:50 foot and ankle surgery cases which required the use of mini C-arm fluoroscopy were included. Eight locations on the mini C-arm drape were chosen for sampling. Locations were defined based on commonly touched areas on the drape by the surgical team, and their proximity to the non-sterile field. Negative controls were obtained by separately sampling an additional 20 mini C-arm drapes after draping c-arm and waiting for average surgery time. Positive controls were obtained by sampling non- sterile surfaces within the OR.Culture Q-swabs were used for sampling defined locations, using an established semiquantitative technique. Plates were incubated at 37 °C for 48 hours. Based on the number of quadrants on plate where colony growth was observed, bacterial growth was graded on a scale of 0, 1+, 2+, 3+, or 4+. Contamination threshold was defined as any growth pattern of 1+ or higher.Results:Figure 1 shows the contamination rates of the sampled areas of the c-arm drape. Contamination was noted in 70% of the cases for at least one area, and in two or more areas in 38% of cases.Contamination rates were significantly higher on defined locations in comparison with their relative negative control, except for locations 4 and 5. (P<0.05)The most frequently contaminated location was location #2 (30%) followed by Location 1 (26%), and then location 8 (22%). (P<0.05)Conclusion:Bacterial contamination of the drape was found to be common (70% of cases) after foot and ankle surgery. Contamination was more common on the superior and inferior aspects of the mini c-arm. This correlates to the area that is most commonly manipulated by the surgical team to position the arms of the c-arm. This information can be utilized by surgeons to identify and avoid high risk areas and, in high risk cases, they may consider changing gloves or re-draping the mini c-arm part way through the case.

Improved Functional Assays and Risk Assessment for STA1+ Strains of Saccharomyces cerevisiae

Diastatic yeasts are a major contamination risk to packaged beer. Brewery quality control programs rely on selective microbial growth media and molecular detection of the STA1 gene; however, there is a wide functional range of diastatic activity that remains unresolved by these current methods. Herein, a comprehensive analysis of diastatic yeast selection media using our collection of STA1+ strains is provided. For the preparation of microbial selection media, several factors to control including plate age, autoclave cycling conditions, cupric sulfate, and dipotassium phosphate concentrations are highlighted. Further several functional assays that confirm the variation in diastatic activity across STA1+ strains and show a clear correlation with earlier onset and increasing strength in strains that contain an intact STA1 promoter are presented. Furthermore, a robust and simple plate-based assay to confirm diastatic activity of potential contaminants has been developed. Collectively, these functional assays provide improved risk assessment of re-fermentation in packaged product with the potential for determining contaminant thresholds for different STA1+ strains and weighing in on the decision to destroy beer or issue a product recall.

Effects of a century of mining and industrial production on metal contamination of a model saline ecosystem, Great Salt Lake, Utah

Effects of mining and metals production have been reported in freshwater lake sediments from around the world but are rarely quantified in saline lake sediments, despite the importance of these lake ecosystems. Here we used dated sediment cores from Great Salt Lake, Utah, USA, a large saline lake adjacent to one of the world’s largest copper mines, to measure historical changes in the deposition of 22 metals. Metal concentrations were low prior to the onset of mining in the catchment in 1860 CE. Concentrations of copper, lead, zinc, cadmium, mercury, and other metals began increasing in the late 1800s, with peaks in the 1950s, concomitant with enhanced mining and smelting activities. Sedimentary metal concentrations in the 1950s were 20-40-fold above background levels for copper, lead, silver, and molybdenum. Concentrations of most metals in surficial sediments have decreased 2-5-fold, reflecting: 1) storage and mineralization of sedimenting materials in a deep brine layer, thereby reducing metal transport to the sediments; 2) improved pollution control technologies, and; 3) reduction in mining activity beginning in the 1970s and 1980s. Despite reductions, concentrations of many metals in surficial sediments remain above acceptable contamination thresholds for aquatic ecosystems with migratory birds, and consumption advisories for mercury have been placed on three waterfowl species. The research also highlights that metal deposition in saline lakes is complicated by effects of hypersaline brines and deep-water anoxia in regulating sediment redox and release of metals to surface waters. Given the importance of saline lakes to migratory birds, metals contamination from mining and metals production should be a focus of saline lake remediation.

Impact of Low-Dose Municipal Sewage Sludge Compost Treatments on the Nutrient and the Heavy Metal Contents in a Chernozem Topsoil Near Újkígyós, Hungary: A 5-Year Comparison

Abstract Agriculture is one of the major fields, where sewage sludge can be used. Its high nutrient content can contribute to the improvement of important soil properties, such as nutrient content, water balance and soil structure. However, sewage sludge may contain hazardous components, such as pathogens and pollutants. Therefore, it is important to monitor the effects of its field application. In this paper, we assessed the impacts of two low-dose (2.5 m3/ha) municipal sewage sludge compost applications (in 2013 and in 2017) in a 5.6 ha arable land in southeast Hungary (near Újkígyós), located in the Hungarian Great Plain. The nutrient and the heavy metal contents in the upper soil layer (0-30 cm) of the studied Chernozem soils were compared between two sampling campaigns in 2013 (before the compost applications) and in 2018 (after the compost applications). Basic soil properties (pH, salinity, humus content, carbonate content, Arany yarn number) complemented with nutrient content (K2O, P2O5, NO2+ NO3) and heavy metal content (Cd, Co, Cr, Cu, Ni, Pb and Zn) analyses were performed. The results show that no significant change can be noticed in the baseline parameters over the 5-year period. The slight increase in the P2O5, NO2+ NO3 content is closely related to the beneficial effects of the sewage sludge deposition. The soil-bound heavy metal load did not increase significantly as a result of the compost treatments, only nickel showed a slight increase in the topsoil. In all cases the heavy metal concentrations did not reach the contamination thresholds set by Hungarian standards. The results provided positive evidences proving that low dose municipal sewage sludge compost disposal on agricultural land is safe, and can be considered as a sustainable soil amendment for agriculture in compliance with legal requirements.

A Theoretical Model of Listeriosis Driven by Cross Contamination of Ready-to-Eat Food Products

Cross contamination that results in food-borne disease outbreaks remains a major problem in processed foods globally. In this paper, a mathematical model that takes into consideration cross contamination of Listeria monocytogenes from a food processing plant environment is formulated using a system of ordinary differential equations. The model has three equilibria: the disease-free equilibrium, Listeria-free equilibrium, and endemic equilibrium points. A contamination threshold ℛwf is determined. Analysis of the model shows that the disease-free equilibrium point is locally stable for ℛwf&lt;1 while the Listeria-free and endemic equilibria are locally stable for ℛwf&gt;1. The time-dependent sensitivity analysis is performed using Latin hypercube sampling to determine model input parameters that significantly affect the severity of the listeriosis. Numerical simulations are carried out, and the results are discussed. The results show that a reduction in the number of contaminated workers and removal of contaminated food products are essential in eliminating the disease in the human population and vice versa. The results have significant public health implications in the management and containment of any listeriosis disease outbreak.

Potentially toxic elements in soils of Campania region (Southern Italy): Combining raw and compositional data

Concern about health effect of Potentially Toxic Elements (PTEs) has led to an increasing global attention about their concentration levels in the environment. Soil geochemistry has been widely used as a tool for environment monitoring. This study investigates topsoil geochemistry of Campania region (Southern Italy) and (i) allows a reliable overview of the PTEs (As, Be, Cd, Co, Cr, Cu, Hg, Ni, Pb, Sb, Se, Sn, Tl, V and Zn) concentration in soils, (ii) enable the investigation of the main factors governing PTEs geochemical variation on a regional scale. Over 7300 topsoil samples were collected from the survey area, which occupies an area of about 13.600 km2. Samples were analyzed for pseudo-total content of 53 elements (major and trace elements) by ICP-MS after aqua regia digestion. Data analysis was performed taking into account both raw data and their compositional nature as a tool for the PTEs environmental evaluation and origin investigation.As, Be, Cu, Pb, Sn, Tl, V and Zn in soils of Campania region show higher median concentration levels than Italian and European ones. In addition, all PTEs exceed the residential/ recreational intervention limit (CSCA) set by Italian legislation. The variation structure of compositional data had been visualized using compositional (clr) biplots and displaying the individual sample observations according to their parent rock. Clr-biplot analysis allowed us to recognize geochemical processes controlling most of soil chemical signatures. Multivariate analysis has been performed and three principal components were determined. PC1 is controlled by enrichment of elements deriving from dominant parent rocks of the area (siliciclastics and volcanoclastics). On the other hand, PC1 reveals the presence of an elemental association dominated by Na, K, U, Th, Zr, Ti, Tl and Be (clr variables), which are pathfinder element of soils developed from volcanic parent material. The second (PC2) component well discriminates the geochemical mobility of the elements in soils. The third (PC3) component reveal the presence of an anthropogenic association (Hg, Sb, Pb, Sn, Au, Ag) which depict a marginal contribution in soil geochemistry of the study area. The generation of clr-biplot helped us in a deeper interpretation of single element spatial distribution patterns. As, Be, Sn, Tl and V spatial distribution shows dominance in soil developed from volcanic products of the main volcanic complexes. Our study showed that element such as Be, Sn and Tl naturally exceed the contamination thresholds in almost the entire territory, due to a quite elevated background concentration values. Hence, Campania region con not be considered entirely contaminated (at this scale) by such elements. Co, Cd, Cr and Ni are more abundant where siliciclastic parent rocks occur.

Scheelite weathering and tungsten (W) mobility in historical oxidic-sulfidic skarn tailings at Yxsj\xf6berg, Sweden

More knowledge of the geochemical behavior of tungsten (W) and associated contamination risks is needed. Therefore, weathering of scheelite (CaWO4) and secondary sequestration and transport of W to groundwater in historical skarn tailings and surface water downstream of the tailings were studied. The tailings contained 920 mg/kg W, primarily in scheelite. Mineralogical and geochemical analyses were combined to elucidate the geochemical behavior of W in the tailings, and water samples were taken monthly during 2018 to monitor its mobility. In the tailings, a large peak of W was found at 1.5 m depth. There, 30 wt%. of W was present in easily reducible phases, indicating former scheelite weathering. Currently, W is being released from scheelite to water-soluble phases at 2.5 m depth. The release of WO42− is hypothetically attributed to anion exchange with CO32− released from calcite neutralizing acid produced from pyrrhotite oxidation in the upper tailings and transported downwards to pH conditions > 7. Higher concentrations of dissolved W were found in the groundwater and particulate W in downstream surface water than in reference water, but they were lower than current contamination thresholds. Tungsten showed correlations with hydrous ferric oxides (HFO) in both the tailings and surface water.

AMOUNT AND TYPE OF MICROBES ON THE COMMON CARP (Cyprinus carpio) IN JATILUHUR RESERVOIR WEST JAVA

This research was conducted in Microbiology Laboratory of Biology Department, Faculty of Mathematics and Natural Sciences, Padjadjaran University in May 2017. The purpose of the research was to identify the number and types of microbes contained in carp (Cyprinus carpio) in Jatiluhur Reservoir, West Java. The method used in this research was sample survey method or field survey. The water and common carp sampling stations are divided into 3 stations, station 1 is located in Zone 1 (low density), station 2 is located in Zone 3 (medium density), and station 3 is located in Zone 5 (high density). Determination of sampling location water and fish is done based on Data Recapitulation of Density of Karamba Floating Net from the Department of Animal Husbandry and Fisheries of West Java.Water samples and fish mucus were tested using Total Plate Count (TPC) method using different specific media that is Trypticase Soy Agar (TSA), deMann Ragosa Sharpe Agar (MRSA), Kliger Iron Agaar (KIA), Thiosulphate Citrate Bile salts Sucrose Agar (TCBS), and Xylose Lysine Deoxycholate (XLD). Microbes can be known by species because they just grown on specific media that can directly showed the specific characteristics of certain microbial species based on the color of the colony. The parameter observed were microbiological test (TPC). The result of the research showed that there was Bacillus sp, Escherichia coli, Lactobacillus sp, Vibrio cholerae, Vibrio parahemoliticus, Vibrio spp, dan Shigella sp on the water samples and carp mucus. The result of research on water samples and fishery products in Jatiluhur Reservoir showed that water quality in Zone 1, Zone 3, and Zone 5 is still below the threshold of microbial contamination based on SNI 7388: 2009, while fish located in Zone 3 and Zone 5 is contaminated by Escherecia coli and Vibrio cholerae, exceed the threshold of SNI 7388: 2009 on microbial contamination in fresh fish.

The total plate count of beras kencur herbal medicine in sub-district market Tulungagung city 2018

&#x0D; &#x0D; &#x0D; &#x0D; Herbal medicine is a traditional drink made from natural ingredients for human health and is made with methods and equipment that are easier in its simplicity which often does not pay attention to hygiene factors and can be a medium for disease transmission. Based on the Regulation of the Head of the Republic of Indonesia Drug and Food Control Agency No. 12 of 2014 concerning requirements for drug fluids in the form of microbial contamination / ALT ≤104 colonies/ml. The purpose of this study was to study the estimated numbers of traditional herbs sold in the Tulungagung District market. The research design used is descriptive. The sampling technique uses a total sampling technique of 6 samples from 4 different markets. Sample meeting with the ALT method in May 2018 in the microbiology laboratory of STIKes Hutama Abdi Husada Tulungagung. The results of the study found that three out of six samples of traditional herbal medicine of kencur rice exceeded the microbial contamination threshold with an average yield of 1 x 107 CFU / ml. The study concludes is that 50% of the sample is not suitable for consumption and 50% of the sample is suitable for consumption. This requires Regulation of BPOM RI Number 12 the year 2014 Regarding Quality Requirements for Traditional Medicines, namely ≤104 colonies/ml. Herbal traders need to pay attention to raw materials, processing, equipment, air used, and containers used.&#x0D; &#x0D; &#x0D; &#x0D;

Radioactivity and Heavy Metals Concentration in Italian (Calabrian) DOC Wines

Wine is an alcoholic drink, largely used to accompany food, with a key role in the protective effects on cardiovascular diseases. This study was developed to investigate radioisotopes and heavy metal content of twenty red, rose and white Italian wines, belonging to controlled origin denomination (DOC) geographic areas of the Calabria region, south of Italy. High Purity Germanium (HPGe) Gamma Spectrometry was employed to evaluate anthropogenic (137Cs) and natural (40K) radionuclides specific activity. Inductively Coupled Plasma Mass Spectrometry (ICP-MS) was used to assess any possible heavy metals contamination by a comparison between Cu, Zn, Pb, B, As and Cd concentrations with the limits set by the Italian Legislation. Calculated annual effective doses due to the ingestion of investigated samples are under allowable levels (1 mSv/year), thus excluding the risk of ionizing radiation effects on humans. Regarding to the metals concentration, experimental results show that they are lower than the contamination threshold values, thus excluding their presence as pollutants.