The analysis of methylamphetamine and para-hydroxy-methylamphetamine in post-mortem hair samples using liquid chromatography-tandem mass spectrometry.

External contamination is a well-recognized limitation of hair analysis for drugs of abuse like methylamphetamine (MA), and there are no guidelines regarding the analysis of specific metabolites of MA to assist interpretation. We developed an analytical method to detect MA, amphetamine (AMP), and para-hydroxy-methylamphetamine (p-OH-MA) in hair and present their concentrations among a cohort of deceased persons positive for MA in blood (n = 63). Hair samples (≤ 3 cm) were washed with dichloromethane and water prior to extraction using a methanolic micro-pulverization. The reconstituted hair extracts were separated on a UCT Selectra® Aqueous C18 HPLC Column (100 × 2.1 mm, 3 µm) by gradient elution and detected using a Sciex Triple Quad 6500+ system. Validation was satisfactory, and the lower limits of quantitation were 0.01 ng/mg for MA and AMP and 0.001 ng/mg for p-OH-MA. The median hair concentrations of MA, AMP, and p-OH-MA were 13 ng/mg (range = 0.015-49; n = 51), 1.1 ng/mg (range = 0.018-44; n = 60), and 0.020 ng/mg (range = 0.0012-0.38, n = 62), respectively. These concentrations in hair were strongly positively correlated (r = .7202 to .8641, p < .001), suggesting similar modes of incorporation. Moreover, the wash/hair ratios were indicative of external contamination, especially among the soiled group of hair samples. Therefore, further studies are necessary to determine concentrations of p-OH-MA in living MA users and confirm if this metabolite constitutes a potential marker of MA consumption.

Exposure to pesticides, persistent and non - persistent pollutants in French 3.5-year-old children: Findings from comprehensive hair analysis in the ELFE national birth cohort.

INTRODUCTION: Exposure to endocrine disruptors during early childhood poses significant health risks. This study examines the exposure levels of French 3.5-year-old children to various persistent and non-persistent pollutants and pesticides using hair analysis as part of the ELFE national birth cohort. Differences in sex and geographical location among the children were investigated as ppossible determinants of exposure. METHODS: Exposure biomarkers from 32 chemical families were analyzed using LC-MS/MS and GC-MS/MS in 222 hair samples from children in the ELFE cohort. Of these, 46 mother-child pairs from the same cohort provided unique insight into prenatal and postnatal exposure. Regressions, correlations and discriminate analysis were used to assess relationships between exposure and possible confounding factors. RESULTS AND DISCUSSION: Among the biomarkers tested in children's hair samples, 69 had a detection frequency of ≥ 50 %, with 20 showing a 100 % detection rate. The most detected biomarkers belonged to the bisphenol, organochlorine and organophosphate families. Sex-specific differences were observed for 26 biomarkers, indicating the role of the child's sex in exposure levels. Additionally, regional differences were noted, with Hexachlorobenzene varying significantly across the different French regions. Nicotine presented both the highest concentration (16303 pg/mg) and highest median concentration (81 pg/mg) measured in the children's hair. Statistically significant correlations between the levels of biomarkers found in the hair samples of the mothers and their respective children were observed for fipronil (correlation coefficient = 0.32, p = 0.03), fipronil sulfone (correlation coefficient = 0.34, p = 0.02) and azoxystrobin (correlation coefficient = 0.29, p = 0.05). CONCLUSIONS: The study highlights the elevated exposure levels of young children to various pollutants, highlighting the influence of sex and geography. Hair analysis emerges as a crucial tool for monitoring endocrine disruptors, offering insights into exposure risks and reinforcing the need for protective measures against these harmful substances.

Monitoring of Organochlorine Pesticides (OCP) in Hair Samples of Wild Herbivorous Mammals Living in Remote and Protected Areas of the Far East and Siberia of Russia.

Monitoring wildlife exposure to biological hazards is a critical component of the wildlife risk assessment. In this study 38 hair samples were collected from 8 different species from ten districts of Russian Far East and Siberia and analysed for the presence of organochlorine pesticides (OCP). 50% of the samples were contaminated with - p, p'-DDT, α-HCH and DDD. DDT was the main contaminant found in 13 sample at concentrations range of 14.3 to 369.5 pg/mg hair, mean 91.9 ± 89.7 pg/mg. α-HCH was detected in three samples with the concentrations range 29.9-180.2 pg/mg. The p, p'-DDD was found only in one hair sample of Siberian roe deer from Altai region at 52.6 pg/mg. The exposure level is depended on animals habitat location. The most contaminated region is Terney district which is in the proximity to the borders with China and North Korea where OCP are still in use.

Delirium in Neurocritical Care: Uncovering Undisclosed Psychotropic Substance and Medication Use and Stress Exposure by Hair Analysis.

OBJECTIVE: In intensive care, delirium is frequent, prolongs the stay, increases health care costs, and worsens patient outcome. Several substances and medications as well as stress can impact the risk of delirium; however, assessment of previous exposure to psychotropic agents and stress by self-reports or third-party information is not always reliable. Hair analysis can be used to objectively assess medication and substance use (including chronic alcohol consumption), and allows for the determination of stress-related long-term changes in steroid hormones and endocannabinoids. METHODS: Consecutive adult patients with acute brain injury admitted to the neurocritical care unit were included. Delirium was diagnosed using the Confusion Assessment Method for the Intensive Care Unit. Liquid chromatography coupled with tandem mass spectrometry was used to investigate psychoactive substances and medications, ethyl glucuronide, steroid hormones, and endocannabinoids in hair samples. Univariable and multivariable analyses were used to reveal any associations with the occurrence of delirium. RESULTS: Of 50 consecutive patients, 21 (42%) were diagnosed with delirium. Detection of antipsychotics or antidepressants in hair was more frequent in patients with delirium (antidepressants: 43% vs. 14%, p = 0.040; antipsychotics: 29% vs. 0%, p = 0.021). These patients also displayed higher ethyl glucuronide levels (p = 0.049). Anandamide (AEA) concentrations were higher in patients with delirium (p = 0.005), whereas oleoylethanolamide (p = 0.045) and palmitoylethanolamide (PEA) (p = 0.017) concentrations were lower in patients with delirium. Backward stepwise logistic regression analysis revealed antidepressants and AEA/PEA to be independent relevant predictors of delirium. CONCLUSIONS: Hair analysis provides crucial and otherwise unattainable information regarding chronic stress and the use of psychotropic substances and medications. Undisclosed antidepressant/antipsychotic use or intense chronic alcohol consumption is susceptible to treatment (continuation of medication or provision of low-dose benzodiazepines in case of alcohol). Chronic stress can be evaluated using stress markers and endocannabinoids in hair, potentially allowing for personalized delirium risk stratification and preventive measures.

Chronic Stress Related to Cancer Incidence, including the Role of Metabolic Syndrome Components.

Epidemiological results on the link between chronic stress and cancer initiation have been inconsistent. This study examined the relation between chronic biological stress, indicated as hair cortisol (HairF) and hair cortisone (HairE), and cancer incidence, adjusting for metabolic syndrome (MetS) components. We analyzed HairF and HairE samples from 6341 participants from the population-based cohort Lifelines in 2014. A linkage with the Dutch Nationwide Pathology Databank (Palga) provided the cancer incidence from 2015 to 2021. The association between dichotomized HairF and log-transformed HairE (LogHairE) and cancer incidence was estimated using Cox regression. MetS components were evaluated as confounders or moderators. Of the 2776 participants with known HairF levels and no cancer history, 238 developed cancer. The HairF level did not predict cancer incidence (HR: 0.993, 95%CI: 0.740-1.333). No confounders or moderators were identified. Among the 4699 participants with known HairE levels and no cancer history, 408 developed cancer. There was no association between LogHairE and cancer incidence (HR: 1.113, 95%CI: 0.738-1.678). When including age as a confounder and gender as a moderator, LogHairE was statistically significantly associated with cancer incidence (HR: 6.403, 95%CI: 1.110-36.92). In a population-based cohort, chronic biological stress, measured by HairE, was associated with cancer incidence, after controlling for age and gender.

The influence of cosmetic treatments in the uptake of in vitro cocaine contamination in hair.

Hair analysis is a powerful tool to assess drug use, yet the challenge of external contamination complicates its interpretation. Understanding the influence of cosmetic hair treatments is pivotal as their presence may affect this phenomenon. This study investigated the effects of four cosmetic treatments (bleach, henna, gel, and dry shampoo) on the external in vitro contamination of cocaine and its primary metabolite, benzoylecgonine (BE). Hair samples were divided into four groups: A-hair treated with cosmetics then contaminated; B-hair contaminated then subjected to cosmetic treatment; and C-hair solely contaminated (control group). Negative hair samples (n = 24) were immersed in a cocaine and BE aqueous solution of 1 µg/mL for 24 h. All hair samples were analyzed by a LC-MSMS procedure successfully validated according to ANSI/ASB Standard 036 guidelines (limit of quantification at 10 pg/mg). Henna in Group A (n = 13) resulted in the most substantial reduction for cocaine (92%), while bleach in Group B (n = 15) showed an 80% decrease. For BE, Group A henna (n = 13) exhibited a 50% reduction, and Group B bleach (n = 15) demonstrated a 71% decrease, all compared to Group C (n = 24). The study found no significant differences concerning hair color (black (n = 3), brown (n = 10), red (n = 5) and blond (n = 6)) or shape (straight (n = 6), wavy (n = 16), curly (n = 1), and coily (n = 1)). All analysis were performed in triplicate with variations below 20%. These findings emphasize that cosmetic treatments do affect cocaine/BE concentrations in hair when exposed to external contamination, highlighting the importance of considering an individual's cosmetic history prior to interpretation.

Glucocorticoid hormones in relation to environmental exposure to bisphenols and multiclass pesticides among middle aged-women: Results from hair analysis.

Bisphenols and pesticides have been shown to alter circulating glucocorticoids levels in animals, but there is limited human data. Moreover, measurements from biological fluids may not be able to reflect long-term status of non-persistent pollutants and glucocorticoids due to the high variability in their levels. Using hair analysis, we examined the associations between glucocorticoid hormones and environmental exposure to multi-class organic pollutants among a healthy female population aged 25-45 years old. Concentrations of four glucocorticoids, four polychlorinated biphenyl congeners (PCBs), seven polybrominated diphenyl ether congeners (PBDEs), two bisphenols and 140 pesticides and their metabolites were measured in hair samples collected from 196 Chinese women living in urban areas. Due to the low detection frequency of some pollutants, associations were explored only on 54 pollutants, i.e. PCB 180, bisphenol A, bisphenol S and 51 pesticides and their metabolites. Using stability-based Lasso regression, there were associations of cortisol, tetrahydrocortisol, cortisone, and tetrahydrocortisone with 14, 10, 13 and 17 biomarkers of exposure to pollutants, respectively, with bisphenol S, p,p'-dichlorodiphenyldichloroethylene, diethyl phosphate, 3,5,6-trichloro-2-pyridinol, thiamethoxam, imidacloprid, fipronil, tebuconazole, trifluralin, pyraclostrobin and 1-(3,4-dichlorophenyl)-3-methylurea being associated with at least three of the four hormones. There were also associations between cortisone/cortisol molar ratio and pollutants, namely dimethyl phosphate, 3-methyl-4-nitrophenol, carbofuran, λ-cyhalothrin, permethrin, fipronil, flusilazole, prometryn and fenuron. Some of these relationships were confirmed by single-pollutant linear regression analyses. Overall, our results suggest that background level of exposure to bisphenols and currently used pesticides may interfere with the glucocorticoid homeostasis in healthy women.

Single hair analysis for gamma-hydroxybutyric acid-Method optimization, validation, and application.

As gamma-hydroxybutyric acid (GHB) underlies fast metabolization, its determination from hair may presumably offer a detection window superior to that of body fluids. Due to the wide range of endogenous concentration levels, the evidence of an exogenous ingestion is challenging. As already shown for other drugs, the temporal resolution obtained by applying single hair microanalysis provides further information. Therefore, a method for the extraction and quantification of GHB in 2-mm hair segments (seg) was optimized and validated (limit of detection [LOD]: 2.5 pg/seg, lower limit of quantification [LLOQ]: 5 pg/seg), and five single hairs were examined, each for three non-users and for three (alleged) users. A major challenge was the choice of appropriate extraction tubes without remains of GHB. In two samples from non-users, GHB could not or could only be detected in trace amounts. In the third sample, concentrations between the LOD and 31.1 pg/seg (mean: 9.5, median: 8.4; each pg/seg) were detected with decreasing values towards the tips. In two samples of persons with assumed GHB intake, maximum concentrations of 6.8 and 30.7 pg/seg were measured, but no significant concentration peaks indicating a single ingestion could be observed. The third sample showed concentrations of 7.6-55.2 pg/seg (mean: 28.8, median: 29.6; each pg/seg). In this case, the obtained profiles showing at least two reproducible concentration maxima between 20 and 40 mm point to an ingestion of GHB. The concentration profiles from single hairs were reproducible in each case, reflecting the concentration course of routine 1-cm segmental analysis. These are the first results published on GHB testing in segmented single hairs, and the results must be verified further.

Hair-Derived Exposome Exploration of Cardiometabolic Health: Piloting a Bayesian Multitrait Variable Selection Approach.

Cardiometabolic health is complex and characterized by an ensemble of correlated and/or co-occurring conditions including obesity, dyslipidemia, hypertension, and diabetes mellitus. It is affected by social, lifestyle, and environmental factors, which in-turn exhibit complex correlation patterns. To account for the complexity of (i) exposure profiles and (ii) health outcomes, we propose to use a multitrait Bayesian variable selection approach and identify a sparse set of exposures jointly explanatory of the complex cardiometabolic health status. Using data from a subset (N = 941 participants) of the nutrition, environment, and cardiovascular health (NESCAV) study, we evaluated the link between measurements of the cumulative exposure to (N = 33) pollutants derived from hair and cardiometabolic health as proxied by up to nine measured traits. Our multitrait analysis showed increased statistical power, compared to single-trait analyses, to detect subtle contributions of exposures to a set of clinical phenotypes, while providing parsimonious results with improved interpretability. We identified six exposures that were jointly explanatory of cardiometabolic health as modeled by six complementary traits, of which, we identified strong associations between hexachlorobenzene and trifluralin exposure and adverse cardiometabolic health, including traits of obesity, dyslipidemia, and hypertension. This supports the use of this type of approach for the joint modeling, in an exposome context, of correlated exposures in relation to complex and multifaceted outcomes.

Infant exposure to drugs of abuse investigated by hair analysis.

Infant exposure to drugs of abuse represents a worldwide problem whose extent is difficult to estimate. Despite the potentially serious health consequences, few data concerning exposure in children under 1 year of age are available. Since in clinical and forensic settings, neonatal and infant hair testing represents a useful method for investigating suspected drug exposures, an observational retrospective study was performed on hair analysis of children under 1 year of age evaluated at the University Hospital of Padova between 2018 and 2022 with the aim of estimate the extent and define the characteristics of this phenomenon in the reference setting. The sample included 102 infants. Chemical-toxicological analyses were requested in 38 cases (37.3%) because of clinically suspicious symptoms of the child (e.g., neuropsychiatric symptoms and suspected neonatal abstinence syndrome) and in 64 cases (62.7%) because of other reasons (e.g., maternal drug history, at-risk environment, and suspected maltreatment). Based on the presence or absence of symptoms in the request, the sample was subdivided into two groups. Hair analysis in these two showed the presence of drug of abuse, respectively, in 44.7% and 67.2% of the cases (p = 0.026). Cocaine was the most frequently detected substance, followed by opiates, and it was detected less frequently in cases investigated for suspicious clinical symptoms (p < 0.05). The results confirm the difficulties in interpreting the clinical picture and in defining the extent of exposure to drugs of abuse. An integrated assessment is fundamental to interpret the case and achieve adequate care of the child.

Analysing and quantifying chronic stress-associated endogenous steroids in hair samples.

In previous studies, various steroids have been associated with stress and have therefore been quantified to investigate stress-related questions. Since the main stress-related steroid cortisol follows a circadian rhythm, often hair is analysed to quantify this steroid. Further, hair analysis gives the unique possibility of long-time monitoring by analysing a certain segment of hair, since hair grows on average 1 cm per month. Hair is a difficult matrix due to the complex sample preparation with many steps including washing and grinding, followed by various extraction steps. Additionally, steroids are endogenous and are therefore present in the hair matrix. Hence, no analyte free matrix is available, which is needed for the quantification via external calibrators. To overcome this problem, the so-called surrogate methods can be used, for which a 13 C3 labelled or deuterated reference compound of the steroid of interest is used for quantification. In the present study, a surrogate method was developed and fully validated for the quantitative analysis of seven steroids in human hair. Validation experiments showed that the method is further suitable for semi-quantitative analysis of estradiol. However, it is not suitable for the analysis of androsterone and DHEAS. The method was successfully used to analyse steroids in a comprehensive study of 360 adolescent hair samples, enabling research into stress markers.

Associations between hair-derived cannabinoid levels, self-reported use, and cannabis-related problems.

RATIONALE: As cannabis potency and cannabis use are increasing in newly legalized markets, it is increasingly important to measure and examine the effects of cannabinoid exposure. OBJECTIVES: The current study aims to assess how hair-derived cannabinoid concentrations - offering insight into three-month cumulative exposure - are associated with common self-report measures of cannabis use and cannabis use-related problems. METHODS: 74 near-daily dependent cannabis users self-reported their quantity of cannabis use, cannabis use-related problems, and estimated cannabis potency. Hair samples were provided to quantify Δ9-THC, CBD, and CBN using LC-MS/MS and THC-consumption was verified by analyzing THC-COOH in hair using GC-MS/MS. RESULTS: Cannabinoids were detectable in 95.95% of the hair samples from individuals who tested positive on a urine screen for cannabis. Δ9-THC concentrations were positively associated with measures of self-reported potency (relative potency, potency category, and perceived 'high'), but Δ9-THC, CBD, CBN concentrations and THC/CBD ratio were not associated with self-reported quantity of use. Self-reported potency, but not hair-derived concentrations, were associated with withdrawal and craving. Self-reported quantity of cannabis use, but not cannabinoid concentrations, were associated with cannabis use-related problems. CONCLUSIONS: The use of hair-derived cannabinoid quantification is supported for detecting cannabis use in near-daily users, but the lack of associations between hair-derived cannabinoid concentrations and self-report measures of use does not support the use of hair analyses alone for quantification of cannabinoid exposure. Further research comparing hair-derived cannabinoid concentrations with other biological matrices (e.g. plasma) and self-report is necessary to further evaluate the validity of hair analyses for this purpose.

Hair toxicological analysis of infants and their mothers: a 5-year retrospective study focusing on cocaine.

Prenatal and infant exposure to drugs of abuse is an emerging social and public health problem affecting children health and which may relate to child abuse and neglect. Exposure to drugs of abuse may occur through different routes, including intrauterine, breastfeeding, accidental intake, passive inhalation, and intentional administration. Currently, cases of suspected exposure can be investigated by hair toxicological analysis, the interpretation of which is, however, often difficult, leading to consequent difficulties in the management of such cases. In order to provide a contribution in terms of interpretation of the analytical results, this study aimed to search for the possible existence of elements, from a toxicological point of view, indicative towards the route of exposure. A retrospective study was performed on cases of suspected exposure to drugs of abuse in children aged 0-1 year, evaluated at a University Hospital between 2018 and 2022. Data of children hair toxicological analysis were analyzed and then compared with those of their mothers, when available; 41.6% children tested positive for cocaine. The study found a significant correlation between cocaine and benzoylecgonine concentrations, and a benzoylecgonine/cocaine ratio that tends to decrease as the age of children increases. From the comparison with mothers, a child/mother cocaine concentration ratio lower than 1 was found in all cases of hair sampled within the first week of life, and a ratio greater than or equal to 1 in all cases in which the sampling was performed later. These results, if confirmed in a larger cohort, could represent a contribution in the interpretation of cases of infant exposure to drugs of abuse and be integrated in the context of their multidisciplinary evaluation.

Development and validation of a liquid chromatography-tandem mass spectrometry (LC-MS/MS) method including 25 novel synthetic opioids in hair and subsequent analysis of a Swiss opioid consumer cohort.

Major public health concern is raised by the evidence that common drugs like heroin are now frequently laced or replaced with highly potent novel synthetic opioids (NSOs). The objective of this study was to explore the prevalence and patterns of NSOs in a cohort of Swiss opioid users by hair analysis. Hair analysis is considered an ideal tool for retrospective consumption monitoring. Hair samples from 439 opioid users in Zurich were analyzed. Study inclusion required a previous positive hair test result for heroin metabolites, oxycodone, fentanyl, methadone, or tramadol. The samples were extracted with a two-step extraction procedure, followed by a targeted LC-MS/MS (QTRAP® 6500+) analysis in multiple reaction monitoring mode for a total of 25 NSOs. The method underwent full validation and demonstrated good selectivity and sensitivity with limits of detection (LOD) as low as 0.1 pg/mg. The analyzed sample cohort demonstrated a positivity rate for NSOs of 2.5%, including the following NSOs: butyrylfentanyl, acrylfentanyl, furanylfentanyl, methoxyacetylfentanyl, ocfentanil, U-47700, isobutyrylfentanyl and benzylfentanyl. Furthermore, we were able to identify specific consumption patterns among drug users. The results indicate that hair analysis is a valuable tool for investigating the prevalence of NSOs in drug-using populations, which seems to be low in the case of Swiss opioid users. Nevertheless, the results highlight the need for sensitive analytical detection methods in forensic toxicology to identify and monitor substance distribution in different populations.

A meta-analysis highlighting the increasing relevance of the hair matrix in exposure assessment to organic pollutants.

Owing to a wide range of advantages, such as stability, non-invasiveness, and ease of sampling, hair has been used progressively for comprehensive biomonitoring of organic pollutants for the last three decades. This has led to the development of new analytical and multi-class analysis methods for the assessment of a broad range of organic pollutants in various population groups, ranging from small-scale studies to advanced studies with a large number of participants based on different exposure settings. This meta-analysis summarizes the existing literature on the assessment of organic pollutants in hair in terms of residue levels, the correlation of hair residue levels with those of other biological matrices and socio-demographic factors, the reliability of hair versus other biomatrices for exposure assessment, the use of segmental hair analysis for chronic exposure evaluation and the effect of external contamination on hair residue levels. Significantly high concentrations of organic pollutants such as pesticides, flame retardants, polychlorinated biphenyls and polycyclic aromatic hydrocarbon were reported in human hair samples from different regions and under different exposure settings. Similarly, high concentrations of pesticides (from agricultural activities), flame retardants (E-waste dismantling activities), dioxins and furans were observed in various occupational settings. Moreover, significant correlations (p < 0.05) for hair and blood concentrations were observed in majority of studies featuring pesticides and flame retardants. While among sociodemographic factors, gender and age significantly affected the hair concentrations in females and children in general exposure settings, whereas adult workers in occupational settings. Furthermore, the assessment of the hair burden of persistent organic pollutants in domestic and wild animals showed high concentrations for pesticides such as HCHs and DDTs whereas the laboratory-based studies using animals demonstrated strong correlations between exposure dose, exposure duration, and measured organic pollutant levels, mainly for chlorpyrifos, diazinon, terbuthylazine, aldrin, dieldrin and pyrethroid metabolites. Considering the critical analysis of the results obtained from literature review, hair is regarded as a reliable matrix for organic pollutant assessment; however, some limitations, as discussed in this review, need to be overcome to reinforce the status of hair as a suitable matrix for exposure assessment.

A retrospective review of methylamphetamine detected in child deaths reported to the Victorian Coroner, Australia.

This study investigated methylamphetamine (MA) exposures in the deaths of children (≤ 12 years old) reported to the Coroner in the state of Victoria, Australia, between 2011 and 2020. Demographics, autopsy findings including the cause of death, self-reported prenatal or caregiver drug use, child protection services information, and toxicological findings were summarized by descriptive statistics. Validated methods of liquid chromatography-tandem mass spectrometry were used in the analysis of drugs. There were 50 child deaths with MA detected in blood, urine, and/or hair with 64% (n = 32) identified in 2018-2020. Most children were 1-365 days old (66%, n = 33) and the cause of death was unascertained in 62% (n = 31) of cases. MA was toxicologically confirmed in hair (94%, n = 47) significantly more than blood (18%, n = 9). Prenatal or caregiver drug use was self-reported in 44% (n = 22) and 42% (n = 21) of cases, respectively. Moreover, only 54% (n = 27) of deceased children were a child protection client at their time of death. These findings suggest the number of deceased children exposed to MA has increased over the past 10 years, which is consistent with the greater supply of crystal MA in the Australian community. Hair analysis provided additional means to identify cases that were unknown to child protection services and may have implications for other children in the same drug exposure environment.

Characterization of organic contaminants in hair for biomonitoring purposes.

Biological monitoring is one way to assess human exposure to contaminants. Blood and urine are often used as biological matrices, but hair is an innovative and effective tool for quantifying more biomarkers over a wider exposure window. In order to improve the use of hair in exposure assessment, this article identifies relevant compounds in the literature to investigate hair contamination. Statistical analysis was performed to correlate the physical-chemical properties of the relevant compounds and their concentration levels in hair. Phthalates, pyrethroids and organophosphate flame retardants were chosen for further study of the interpretation of hair measurements for exposure assessment. No significant correlation was found between the average concentration levels in the literature and the physical-chemical properties of the selected compounds. This work also explores the properties of hair and the analytical process that may impact the quantification of organic contaminants in hair. The sample preparation method (sampling, storage, washing) were also studied and adaptations were suggested to improve the existing methods.

Hair analysis in postmortem investigations: Case of a skeletonized body.

Analysis of hair collected from putrefied or skeletal bodies is always complex and must take into account several pitfalls, such as external contamination and contamination by biological fluids. This work presents a case of particular complexity. A skeletonized body was discovered on a country road. A tuft of brown hair, detached from the scalp, irregular in length, non-oriented, in contact with soil and vegetation, was removed. An anthropological examination was carried out and genetic samples were taken from the right femoral shaft. After about 10 washes with warm water and dichloromethane, the tuft of hair was analyzed without segmentation. General unknown screening was performed by liquid chromatography system coupled to a high-resolution mass spectrometry (LC-HRMS) after incubation in pH 9.5 borate buffer and liquid-liquid extraction. Specific Multiple Reaction Monitoring (MRM) methods for date rape drugs were carried out by liquid chromatography system coupled to a tandem mass spectrometry (LC-MS/MS). The anthropological examination allowed to determine that the victim was a female individual, over 60 years old, the death dating from 3 months to 1 year. Comparison of the DNA results with the Missing Persons Index led to the identification, a 60-year-old woman who disappeared 5 months earlier. Hair analysis showed the presence of oxazepam (361 pg/mg), nordiazepam (54 pg/mg), and alimemazine (5 pg/mg). The interpretation of these concentrations is extremely difficult due to the risk of degradation of the hair cuticle during prolonged stay in the soil, as well as of contamination by putrefactive fluids. The authors discuss the value of using multiple biological and non-biological matrices in this context to improve the interpretation of the results.

Effects of temperature, humidity, light, and soil on drug stability in hair: a preliminary study for estimating personal profiles using micro-segmental analysis of corpse hair.

PURPOSE: Micro-segmental hair analysis (MSA), which enables detailed measurement of the distribution of drugs in a single hair strand, is useful for examining the day of death and drug use history of a person. However, corpses are often found in severe environments, such as soil and freezers, which affect the drug contents in hair. Therefore, we examined the effects of temperature, humidity, light, and soil on drug stability in hair as a preliminary study to estimate personal profiles using MSA of corpse hair. METHODS: Four hay-fever medicines (fexofenadine, epinastine, cetirizine, and desloratadine) were used as model drugs to evaluate drug stability in hair. Reference hair strands consistently containing the four medicines along the hair shaft were collected from patients with hay-fever who ingested the medicines daily for 4 months. The hair strands were placed in chambers with controlled temperatures (- 30 to 60 °C) and relative humidities (ca. 18 % and > 90 %), exposed to light (sunlight and artificial lights) or buried in soil (natural soil and compost). RESULTS: Sunlight and soil greatly decomposed the hair surfaces and decreased the drug contents in hair (up to 37 %). However, all analytes were successfully detected along the hair shaft, reflecting the intake history, even when the hair was exposed to sunlight for 2 weeks and buried in the soil for 2 months. CONCLUSIONS: Although the exposure to sunlight and storage in soil for long times made drug-distribution analysis difficult, MSA could be applied even to hair strands collected from corpses left in severe environments.

Association of hair polychlorinated biphenyls and multiclass pesticides with obesity, diabetes, hypertension and dyslipidemia in NESCAV study.

Obesity, diabetes, hypertension and dyslipidemia are well-established risk factors for cardiovascular diseases (CVDs), and have been associated with exposure to persistent organic pollutants. However, studies have been lacking as regards effects of non-persistent pesticides on CVD risk factors. Here, we investigated whether background chronic exposure to polychlorinated biphenyls (PCBs) and multiclass pesticides were associated with the prevalence of these CVD risk factors in 502 Belgian and 487 Luxembourgish adults aged 18-69 years from the Nutrition, environment and cardiovascular health (NESCAV) study 2007-2013. We used hair analysis to evaluate the chronic internal exposure to three PCBs, seven organochlorine pesticides (OCs) and 18 non-persistent pesticides. We found positive associations of obesity with hexachlorobenzene (HCB), ß-hexachlorocyclohexane (ß-HCH) and chlorpyrifos, diabetes with pentachlorophenol (PCP), fipronil and fipronil sulfone, hypertension with PCB180 and chlorpyrifos, and dyslipidemia with diflufenican and oxadiazon, among others. However, we also found some inverse associations, such as obesity with PCP, diabetes with γ-HCH, hypertension with diflufenican, and dyslipidemia with chlorpyrifos. These results add to the existing evidence that OC exposure may contribute to the development of CVDs. Additionally, the present study revealed associations between CVD risk factors and chronic environmental exposure to currently used pesticides such as organophosphorus and pyrethroid pesticides.