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Polychlorinated Biphenyls

Polychlorinated Biphenyls (PCBs) are a group of synthetic organic compounds composed of two benzene rings with varying numbers and positions of chlorine substituents.
These persistent environmental pollutants have been widely used in industrial applications, but their toxicity and bioaccumulative properties have made them a major health and ecological concern.
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Most cited protocols related to «Polychlorinated Biphenyls»

The unadjusted model is equivalent to the use of wet-weight values when estimating the effect of an exposure such as PCBs on a health outcome without further consideration of serum lipids.
Accordingly, this model is suitable for use when it is reasonable to assume that serum lipids are not a confounder. This assumption holds true regardless of the relation between lipids and the outcome. Inclusion or exclusion of lipids as an adjustor may affect model fit, but it will not impact PCB exposure/response estimates. Four DAGs, shown in Figure 1, are appropriately evaluated by use of the unadjusted statistical model. Figure 1A reflects a scenario that will result in an unbiased risk estimate as serum lipids are assumed to be unrelated to PCB levels. Use of this model for Figure 1B yields optimal estimates, if serum lipids are unrelated to both PCBs and the outcome.
An unadjusted model is also appropriate for Figure 1C, where PCBs are assumed to have an indirect effect via serum lipids; adjustment for a variable in the causal pathway may introduce an undesirable bias when estimating direct effects (Greenland 1996 (link), 2003 (link); Greenland and Morgenstern 2001 (link)).
In Figure 1D, PCBs are assumed to affect both serum lipids and the outcome, creating a spurious association (Robins et al. 2000 (link)). Here, only an unadjusted model is appropriate for risk estimation. Because they vary with PCBs, adjustment for serum lipids is tantamount to partial adjustment for the exposure itself.
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Publication 2005
Diacylglycerol Lipids Polychlorinated Biphenyls Robins Serum
Atropisomers of methoxylated PCBs were separated using an Agilent 7890A gas chromatograph equipped with an electron capture detector (μ-ECD) using the following enantioselective columns: HP-Chiral-20B (20B) and Cyclosil-B (CB) from Agilent, Chirasil-Dex (CD) from Varian, BGB-172 (BGB) for BGB Analytic, and Chiral-Dex B-DM (BDM), Chiral-Dex B-PM (B-PM) and Chiral-Dex G-TA (GTA) columns from Supelco Analytical (see Table S3 for details). The compounds were first analyzed individually using the following temperature program: 50°C for 1 min, 10°C/min to 140°C, hold for 20 min, 1°C/min to column maximum temperature, hold for 20 min (22 (link)) to establish retention times and elution order as well as identify atropisomers of methoxylated PCBs separating on these columns for further optimization. The injector and detector were kept at 250°C. The flow was set to 1 mL/min.
Subsequently, the separation of methoxylated PCBs that partially separated or showed significant peak widening on a particular column was further optimized. Because the resolution of PCB atropisomers improves with decreasing analysis temperature (Figure S1) (18 (link), 23 ), temperature programs with a long isothermal hold at progressively lower temperatures were used: 50°C for 1 min, 10°C/min to X, 10°C to 225°C, hold for 10 min, where X is in the range from 140°C to 180°C. The flow in these analyses was 3 mL/min to achieve elution in a reasonable amount of time. The length of the temperature programs varied from 220 min at 180°C to 500 min at 140°C. In some cases an analysis time of 8 h was not sufficient to elute the methoxylated metabolite. These long analysis times were considered impractical for enantioselective analysis, even if improvement of separation was observed. Atropisomers of PCBs in the microsomal incubation mixtures (see below) were analyzed on the CD column using the following temperature program: 2°C/min from 100°C to 150°C, 0.2°C/min to 185°C, 15°C to 200°C (22 (link), 24 (link)). The conditions provided acceptable resolution (from 0.63 to 0.89) for all four studied congeners.
Publication 2011
Chirasil-Dex cyclosil Electrons Gas Chromatography Microsomes Polychlorinated Biphenyls Retention (Psychology)
The lipid-standardized model is one way to account for the effect of serum lipids on serum PCB levels. This model is used frequently and is conceptually similar to use of the body mass index (BMI; weight in kilograms divided by the squared height in meters) to adjust weight for height in measuring adiposity.
The power, m in Equation 2 is a factor that generalizes the relation of PCBs and serum lipids. Due to measurement error in the quantification of lipids, use of Equation 2 when Figure 1A holds can result in biased estimates. If Figure 1B holds, estimates will be affected by a scaling issue, as the beta coefficient is that for the log of the ratio of PCB to lipids. If the true relations follow Figure 1 (C or D), then use of Equation 2 will adjust, albeit incompletely, for the exposure of interest, as in both Figure 1C and D, PCBs determine the variance of serum lipids. Figure 1C depicts a causal relation between both PCBs and serum lipids with the outcome, and a noncausal association between PCBs and serum lipids resulting from a common ancestor, A. Use of the standardization model will be valid for this situation only if the standardization completely accounts for the association between PCB and serum lipids. Otherwise, use of this model will result in biased estimates.
Figure 1F is modeled similarly to Figure 1D in that the relation between PCBs and lipids is due to a common cause, A. In this scenario, the standardized model again suffers from a scale issue. All other models will produce unbiased estimates, but precision of the estimate may vary depending on several factors, including measurement error. The potential error associated with the measurement of serum lipids can exceed that for the analyte itself (Needham and Wang 2002 (link)) and is an important source of bias.
Figure 1G represents two possible circumstances in which serum PCBs are causally related or correlated with the true exposure/outcome association. If the relation between serum and adipose concentration levels of PCBs is governed by serum lipid levels, then standardization may allow use of one as a proxy for the other.
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Publication 2005
Index, Body Mass Lipids Obesity Polychlorinated Biphenyls Serum

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Publication 2014
Animal Model Epilepsy Mason-Type Diabetes Pellets, Drug Polychlorinated Biphenyls Rattus
From 2579 boys, aged 10–16 years in 1999, enrolled in an earlier pilot study to generate growth and maturation curves for boys in Chapaevsk [13 ], a subset of 246 older boys (14.0 to 16.9 years) were identified for a sub-study in which blood samples and questionnaire information were obtained. Older boys were chosen for study because blood samples were required and participation rates were expected to be higher than among younger children. Of the 246 boys, 221 had blood samples collected, and of these samples, 30 bloods were initially sent to the CDC for chemical analysis of dioxins, furans and PCBs. By design, of the 30 blood samples, 15 were from children with cryptorchidism or hypospadias, and 15 were from children with neither condition (controls). The selection of the 15 cases and 15 controls was done blindly in relation to factors that may predict dioxin levels.
Each of the 30 boys, with his mother, was asked to complete a nurse-administered detailed questionnaire on medical history, diet, and lifestyle. The diet questions were used to measure the current and lifetime consumption of locally grown or raised foods. The question was worded, "Does your child eat any of the following foods from local sources (i.e. your own garden or farms or lakes in the Chapaevsk area)? Yes/No". There were separate questions for current intake and lifetime intake of each food item. The distances the boys lived from the Khimprom factory at the time of the study and during pregnancy were assessed by questionnaire based on maternal self-report as <2, 2–6, or >6 kilometers, and the distance at the time of the study was also estimated using ArcView GIS 3.0 mapping of addresses.
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Publication 2005
BLOOD Boys Child Cryptorchidism Diet Dioxins Eating Food Furans Hypospadias Mothers Nurses Polychlorinated Biphenyls Pregnancy Tetrachlorodibenzodioxin Youth

Most recents protocols related to «Polychlorinated Biphenyls»

A total of six different PCBs were designed for this project with similar flexible PCB properties. The flexible PCBs consist of a 25 µm polyimide core, two 18 µm copper layers (0.5 oz), and a 27.5 µm yellow overlay (Polyimide incl. adhesive), which sum up to a total PCB thickness of 116 µm. Exposed pads have a surface finish of 1U” immersion gold (ENIG) to improve solderability and connectivity of connecting pads, as highlighted in Fig. 6d. In general, traces have a minimum width of 0.254 µm (10 mils). The width is decreased for heating patterns that have a trace width of 76 µm (3 mils). The trace minimum spacing for all PCBs is 76 µm (3 mils). To prevent a potential fracture of the traces while bending, all traces were perpendicularly oriented to the bending edges.
The PCBs in Fig. 6 have 4 LEDs that were connected in parallel, and each leading resistance was chosen such that the circuit could be connected to a 5 V power source. The heating pattern dimensions were designed for a maximum current of 300 mA, at which the temperature rises to 60 °C, which is also the maximum operating temperature for the magnets used. The total resistance mainly depends on the length of the 3 mm traces. Therefore, the letter “E” from Fig. 7 has the highest total resistance of 14.5 Ohm, followed by the letter “T” with 11 Ohm and the letter “H” with 10.5 Ohm. All resistances were measured at room temperature.
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Publication 2023
Copper Fracture, Bone Gold Maternally Inherited Leigh Syndrome Ohmic Resistance Polychlorinated Biphenyls Submersion
Acetic acid, citric acid, hydrogen peroxide, and deionized water purchased are of analytical grade. The waste printed circuit boards (WPCBs) were gathered from the scrap market. RAM, chip slots, and PCI slots that were attached to PCBs were physically removed, and they were then sliced into 3 × 3 cm pieces. To remove any dirt, oil, chemicals, adhesives, smears, etc., the WPCB samples were then washed and rinsed with distilled water and acetone. They were allowed to dry for 24 h at room temperature.
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Publication 2023
Acetic Acid Acetone Citric Acid DNA Chips Peroxide, Hydrogen Polychlorinated Biphenyls
The data used in this study were collected as part of a survey of residents in the Columbia River Basin of the US Pacific Northwest, where water pollutants such as mercury, DDT, PCBs, and PBDEs pose serious risks to both human health and the environment (EPA 2009 ). Humans and wildlife exposed to water contaminated with these toxins can suffer nervous system, kidney, liver, immune system and reproductive disorders, and cancer (SCDHEC 2019 ; Harada et al. 2016 ; EPA 2022 ). We chose to survey Washington, Oregon, and Idaho because they are home to the Columbia River Basin, a key area of interest to the study’s funder—the EPA’s Columbia River Basin Restoration Program. In developing the survey instrument, we adapted measures from previous research (Bockarjova and Steg 2014 (link)), and developed several new measures drawing on an EPA’s Columbia River Basin Report outlining effective behaviors that could protect both human and environmental health (EPA 2009 ). Three experts with survey and environmental risk background and a group of seven non-experts pretested the initial survey. Based on their feedback we revised to improve clarity and reduce measurement error. Next, we pilot tested the survey with a sample of 50 participants to assess study procedures, including sampling, recruitment, data collection, and analysis. No major changes were made based on results from the 50 pilot study respondents and these 50 initial respondents were included in the final sample (pilot demographics were: 72% female; 82% white; 72% were 25 or older; 46% were from Washington, 38% were from Oregon, and 16% from Idaho; 36% held a bachelor’s degree or higher; 36% leaned liberal; and 6% were vegetarians).
We distributed the final survey instrument online from December 2021 to January 2022. Respondents for both the pilot test and the final survey were sampled from a Qualtrics opt-in panel, a pool of respondents who voluntarily sign up to be solicited for survey participation. Eligible respondents were those at least 18 years of age and residing in Idaho, Oregon, and Washington. In order to create a sample similar to the demographics of the region, we employed quotas for age (18–24 (32%), 25–54 (34%), 55+ (35%), gender (male 50%, female 50%), and state (Idaho (20%), Washington (50%), and Oregon (30%) based on regional proportions. Study procedures were approved and certified exempt by the University of Idaho Institutional Review Board (IRB Protocol #20-186), which assesses human subjects protocols for compliance with ethics and informed consent rules. We had an incidence rate of 31%, meaning that out of all the people who entered the survey, 31% of them were eligible respondents who were able to complete it. Our final number of respondents was 621, so we can estimate ~2003 entrants to the survey in total, the majority of which were terminated. It is standard not to calculate a response rate for opt-in panels like ours (Callegro and DiSogra 2009 (link)).
Publication 2023
AH 31 ARID1A protein, human Brominated Diphenyl Ethers Females Gender Homo sapiens Kidney Liver Males Malignant Neoplasms Mercury Polychlorinated Biphenyls Protocol Compliance Reproduction Rivers System, Immune Systems, Nervous Toxins, Biological Vegetarians Water Pollutants
The CCLS is a population-based case-control study in 35 counties in California, including 17 counties in the San Francisco Bay area and 18 in the Central Valley [11 (link),26 (link)]. Between 1995 and 2012, cases ≤14 years old were ascertained within 72 h of diagnosis from nine major pediatric clinical centers in the study area. Using California birth certificate information, controls were matched to cases on the basis of date of birth, sex, Hispanic ethnicity, and maternal race. Parents of both case and control participants were initially interviewed to gather information about their child’s exposure to suspected leukemia risk factors. Families who had not moved since the child’s diagnosis date (reference date for controls) were eligible for a second interview (Tier 2), during which carpet dust samples were collected and information about pesticide use was obtained. The second interview and dust sampling were limited to cases and controls <8 years old (diagnosed December 1999 to June 2006) to ensure the samples reflected early-life chemical exposure of the child. Case-control matching was not maintained due to residential eligibility criteria and voluntary participation. There were 731 participants for the Tier 2 interviews (324 cases and 407 controls). Of these, 296 cases (91%) and 333 controls (82%) agreed to participate. Due to insufficient dust or interferences in the chemical analyses, some samples were not quantified, leading to a final 277 cases and 306 controls (n = 583) [13 (link)].
The dust samples were collected using either a high-volume small surface sampler (HVS3) or a household vacuum cleaner. As described previously [26 (link)], concentrations of 64 organic chemicals (ng/g dust) were measured using gas chromatography/mass spectrometry (GC/MS) in multiple ion-monitoring mode after extraction with three different extraction methods. Nine metals were measured using microwave-assisted acid digestion combined with inductively coupled plasma/mass spectrometry (ICP/MS).
Our analysis investigated the association of 67 chemicals with the risk of childhood leukemia. Out of the entire CCLS dataset, only chemical exposure variables with at least 20% non-missing observations were included, as past experience has shown that higher levels of missingness contribute negligible information on potential relations with an outcome. We organized exposures into seven chemical class indices: polychlorinated biphenyls (PCBs), polycyclic aromatic hydrocarbons (PAHs), insecticides, herbicides, metals, tobacco exposure markers of nicotine and cotinine, and polybrominated diphenyl ethers (PBDEs). The reason for these groupings was that the chemicals share a structural similarity (e.g., PCBs, PAHs, metals) or usage (e.g., herbicides, insecticides). Most missing data were the result of findings below a chemical’s detection limit. Additionally, there were missing data in the PBDE chemicals due to insufficient levels of house dust for analysis. Both types of missing observations were imputed with log-normal distributions, as previously described [15 (link)].
The interviewers took a global positioning system reading of the residence coordinates, which were linked to census data for the computation of the neighborhood deprivation index and used to evaluate spatial random effects for unexplained spatial heterogeneity in leukemia risk.
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Publication 2023
Acids Brominated Diphenyl Ethers Cefaclor Child Childbirth Cotinine Digestion Eligibility Determination Ethnicity Gas Chromatography-Mass Spectrometry Genetic Heterogeneity Herbicides Hispanics House Dust Households Insecticides Interviewers Leukemia Mass Spectrometry Metals Microwaves Mothers Nicotine Organic Chemicals Parent Pesticides Plasma Polychlorinated Biphenyls Polycyclic Hydrocarbons, Aromatic Tobacco Products Vacuum
The surface MEA chip and flexible MEAs were fabricated following previous procedures with small modifications [34 (link)]. A Si wafer with a 1µm thick SiO2 layer (University Wafer Inc., South Boston, MA, USA) was first cleaned by sonicating in acetone, isopropanol, and DI water sequentially for 5 min each step. The wafer was then dried on a hot plate at 150 °C for 3 min, then the surface was cleaned and activated by O2 plasma using a reactive ion etcher (RIE, Trion Phantom III LT, Clearwater, FL, USA) for 120 s at 200 mTorr pressure and 150 Watts power. The wafer was then spin-coated with SU-8 2015 (MicroChemicals, Ulm, Germany) at 5000 rpm for 1 min and soft baked at 65 °C for 3 min and 95 °C for 5 min to evaporate solvent, then the wafer was exposed using a maskless aligner (MLA, MLA100, Heidelberg Instruments, Heidelberg, Germany) with a dose of 400 mJ/cm2. After exposure, the SU-8 first layer was post-baked at 65 °C for 3 min and 95 °C for 5 min, developed using SU-8 developer (MicroChemicals, Germany) for 1 min, and cleaned by isopropanol and DI water, Then, the wafer was hard baked at 200 °C, 180 °C, and 150 °C for 5 min each for SU-8 curing and allowed to cool down below 95 °C (step skipped for in vitro MEA fabrication). The wafer was then treated with O2 plasma to clean, activate, and roughen the SU-8 with RIE for 75 s at a pressure of 200 mTorr and 150 W power. The treated wafer was then spin-coated with AZ P4620 photoresist (MicroChemicals, Germany) at 5000 rpm for 1 min and baked at 105 °C for 5 min for resist curing. After baking, the wafer was exposed using MLA with a dose of 700 mJ/cm2, then developed using AZ400k 1:4 developer (MicroChemicals, Germany), cleaned by water rinse, and dried with N2 gas flow. A mild 120 s RIE O2 plasma treatment at pressure 600 mTorr and 60 W power was performed to clean the SU-8 before metal deposition. A 10 nm Ti adhesion layer and 100 nm Au layer were evaporated on the wafer using an Electron Beam Evaporator Plassys MEB550S (Marolles-en-Hurepoix, France). The metal was then lifted off in acetone overnight. The next day, the wafer was first rinsed with water, dried under N2 flow, and cleaned by O2 plasma for 60 s at 600 mTorr and 60 W, then spin-coated with SU-8 2015 for insulation layer at 5000 rpm for 1 min and soft baked at 65 °C for 2 min and 95 °C for 5 min. The wafer was then exposed using MLA with a dose of 400 mJ/cm2, post-backed, and developed with an SU-8 developer. The wafer was then cleaned with isopropanol and water, and was hard baked at 200 °C, 180 °C, and 150 °C for 5 min each to fully cure SU-8 and allowed to cool down below 95 °C. For in vitro use, the wafer was then cut into rectangular pieces (1.5 × 2 cm) containing an MEA and used for in vitro experiments. For in vivo use, the flexible MEAs were released from the wafer using buffered oxide etchant (1:7) (MicroChemicals, Germany) in an acid hood for 8 h to etch away the SiO2 layer. Customized PCBs were mounted with ZIF and Omnetics connectors. ZIF connectors were used to interface with flexible MEAs, and Omnetics connectors were used to interface with the potentiostat and electrophysiology recording system.
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Publication 2023
1-naphthol-8-amino-3,6-disulfonic acid Acetone Cysteamine DNA Chips Electrons Isopropyl Alcohol Metals Oxides Plasma Polychlorinated Biphenyls Pressure Solvents

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