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JAMA Jul 2023
Topics: Carbonated Water; Carbonated Beverages
PubMed: 37462713
DOI: 10.1001/jama.2023.11155 -
Journal of Exposure Science &... Jul 2023Non-targeted analysis (NTA) and suspect screening analysis (SSA) are powerful techniques that rely on high-resolution mass spectrometry (HRMS) and computational tools to... (Review)
Review
Non-targeted analysis (NTA) and suspect screening analysis (SSA) are powerful techniques that rely on high-resolution mass spectrometry (HRMS) and computational tools to detect and identify unknown or suspected chemicals in the exposome. Fully understanding the chemical exposome requires characterization of both environmental media and human specimens. As such, we conducted a review to examine the use of different NTA and SSA methods in various exposure media and human samples, including the results and chemicals detected. The literature review was conducted by searching literature databases, such as PubMed and Web of Science, for keywords, such as "non-targeted analysis", "suspect screening analysis" and the exposure media. Sources of human exposure to environmental chemicals discussed in this review include water, air, soil/sediment, dust, and food and consumer products. The use of NTA for exposure discovery in human biospecimen is also reviewed. The chemical space that has been captured using NTA varies by media analyzed and analytical platform. In each media the chemicals that were frequently detected using NTA were: per- and polyfluoroalkyl substances (PFAS) and pharmaceuticals in water, pesticides and polyaromatic hydrocarbons (PAHs) in soil and sediment, volatile and semi-volatile organic compounds in air, flame retardants in dust, plasticizers in consumer products, and plasticizers, pesticides, and halogenated compounds in human samples. Some studies reviewed herein used both liquid chromatography (LC) and gas chromatography (GC) HRMS to increase the detected chemical space (16%); however, the majority (51%) only used LC-HRMS and fewer used GC-HRMS (32%). Finally, we identify knowledge and technology gaps that must be overcome to fully assess potential chemical exposures using NTA. Understanding the chemical space is essential to identifying and prioritizing gaps in our understanding of exposure sources and prior exposures. IMPACT STATEMENT: This review examines the results and chemicals detected by analyzing exposure media and human samples using high-resolution mass spectrometry based non-targeted analysis (NTA) and suspect screening analysis (SSA).
Topics: Humans; Environmental Pollutants; Exposome; Plasticizers; Soil; Dust; Water
PubMed: 37380877
DOI: 10.1038/s41370-023-00574-6 -
Ground Water 2024
Topics: Groundwater; Water Pollutants, Chemical
PubMed: 38193349
DOI: 10.1111/gwat.13386 -
Environmental Science and Pollution... Nov 2023Environmental pollutants are ubiquitous in our environmental media, resulting in detrimental impacts on both humans and the environment. An evidence-based review,... (Meta-Analysis)
Meta-Analysis Review
Environmental pollutants are ubiquitous in our environmental media, resulting in detrimental impacts on both humans and the environment. An evidence-based review, particularly a systematic review and meta-analysis, performs a crucial function in assessing the pollution status of pollutants in environmental media at national and global scales. We selected and thoroughly investigated 76 papers focusing on systematic reviews and meta-analyses of contaminants in environmental media. The need to broaden the scope of studies was observed with an increase in the total number of publications, and there were greater focuses on food safety, water pollution, biological pollution, and environmental risks. Furthermore, this review outlined the fundamental procedures involved in a systematic review and meta-analysis, including literature searching, screening of articles, study quality analysis, data extraction and synthesis, and meta-analysis. A meta-analysis typically comprises fixed- and/or random-effects meta-analysis, identifying and measuring heterogeneity, sensitivity analysis, publication bias, subgroup analysis, and meta-regression. We specifically explored the application of meta-analysis to assess the presence of contaminants in environmental media based on two different pollutant categories, namely, non-biological and biological pollutants. The mean value is commonly utilized to assess the pooled concentration of non-biological pollutants, while the prevalence serves as the effect size of biological pollutants. Additionally, we summarized the innovative applications, frequent misuses, and problems encountered in systematic reviews and meta-analyses. Finally, we proposed several suggestions for future research endeavors.
Topics: Humans; Environmental Pollutants; Forecasting; Water Pollution; Food Safety; Air Pollution
PubMed: 37858014
DOI: 10.1007/s11356-023-30347-5 -
PeerJ 2024Periodontitis is a chronic inflammatory disease caused by bacterial infection in the periodontal support tissue. Visfatin, a hormone secreted mainly by adipocytes and... (Meta-Analysis)
Meta-Analysis
BACKGROUND
Periodontitis is a chronic inflammatory disease caused by bacterial infection in the periodontal support tissue. Visfatin, a hormone secreted mainly by adipocytes and macrophages, plays an important role in immune regulation and defense. Although studies have indicated that patients with periodontitis have significantly high serum and gingival crevicular fluid levels of visfatin, the relationship between this adipocytokine and periodontal disease remains unclear.
AIM
The aim of this study was to systematically evaluate the association between visfatin levels and periodontitis.
METHODS
The PubMed, Web of Science, ScienceDirect, EBSCO, and Wiley Online Library databases were searched for potential studies, using "periodontitis" and "visfatin" as the keywords in the title and abstract search fields. Standardized mean difference (SMD) values with corresponding 95% confidence intervals (CIs) were determined from the results of this meta-analysis.
RESULTS
In total, 22 articles involving 456 patients with periodontitis and 394 healthy individuals (controls) were included in the meta-analysis. Visfatin levels were significantly higher in the patients with periodontitis than in the healthy individuals (SMD: 3.82, 95% CI [3.01-4.63]). Moreover, the visfatin levels were significantly lowered after periodontitis treatment (SMD: -2.29, 95% CI [-3.33 to -1.26]).
CONCLUSION
This first-ever meta-analysis comparing visfatin levels between patients with periodontitis and healthy individuals suggests that this adipocytokine can be a diagnostic and therapeutic biomarker for periodontal disease.
Topics: Humans; Adipokines; Case-Control Studies; Nicotinamide Phosphoribosyltransferase; Periodontal Diseases; Periodontitis
PubMed: 38560458
DOI: 10.7717/peerj.17187 -
Environmental Science and Pollution... Aug 2023This paper investigates biomass and solar energy's present and future perspectives in low/zero energy and carbon emissions. Its data source is published articles indexed... (Review)
Review
This paper investigates biomass and solar energy's present and future perspectives in low/zero energy and carbon emissions. Its data source is published articles indexed in the Scopus database. By analyzing the articles extracted in Vos viewer software, four main areas of research are found: sustainable development, economic and managerial issues, methods, algorithms, modeling technologies, and renewable energy and its sources and types. In all four sections, research gaps were observed in the field of the third generation of photovoltaics (semi-transparent solar cells )organic)) and algae. As part of the study, advanced bibliometric analysis was carried out by VOS viewer software, and 34129 articles were examined from Scopus, alongside a patent analysis using Google patents, in addition to the bibliometric analysis. It has been shown by machine learning that about 9% of future articles in all energy fields will consist of building articles, and a quarter of these articles will be in the field of renewable energy. While residential and commercial sectors are the dominant areas of renewable energy utilization and commercialization research, the potential of new generations of renewable energy technologies will create significant opportunities to achieve low/zero energy-carbon emission buildings. The paper concludes by predicting the increasing rate of renewable energy and building articles compared to energy articles by 2030, emphasizing the critical role of research in advancing sustainable energy solutions. This data mining analysis helps to identify the current gaps and opportunities. Therefore, great potential will be created to develop and commercialize a new generation of technologies in this industry.
Topics: Carbon; Renewable Energy; Sunlight; Biomass; Machine Learning; Carbon Dioxide; Economic Development
PubMed: 37531064
DOI: 10.1007/s11356-023-28669-5 -
Analytical Sciences : the International... Feb 2024
Topics: Food Quality; Food Contamination; Food Analysis
PubMed: 38311663
DOI: 10.1007/s44211-023-00494-3 -
Journal of Chromatography. A Sep 2023Ion chromatography (IC) plays a crucial role in urine analysis for diverse medical diagnoses. This paper reviews a comprehensive investigation into urine pretreatment... (Review)
Review
Ion chromatography (IC) plays a crucial role in urine analysis for diverse medical diagnoses. This paper reviews a comprehensive investigation into urine pretreatment techniques, as well as the design and development of IC systems for the measurement of various chemicals. Prior to analysis, urine samples commonly undergo pretreatment procedures such as dilution, filtration, purification, and concentration. These steps effectively eliminate interfering factors and facilitate the accurate and sensitive analysis of ultra-trace components. To separate and quantify different chemical elements or ions present in urine, a range of homemade or commercially available columns coupled with various detectors were employed. This study focuses on the analysis of chemicals such as heavy metals, halogens, pesticides, drugs, and other essential or toxic substances by IC methods.
Topics: Chromatography; Metals, Heavy; Halogens
PubMed: 37517316
DOI: 10.1016/j.chroma.2023.464231 -
The Science of the Total Environment Sep 2023Heavy metals are defined by their long biological half-life and non-biodegradability in the environment and the human body. Thus, they can accumulate in considerable... (Meta-Analysis)
Meta-Analysis Review
Heavy metals are defined by their long biological half-life and non-biodegradability in the environment and the human body. Thus, they can accumulate in considerable amounts within soil-plant-food chains, presenting a potential health risk to humans. This systematic review and meta-analysis aimed to investigate the prevalence and mean levels of heavy metals (As, Cd, Hg, and Pb) in red meat globally. Studies describing the heavy metal contamination of meat were retrieved by searching international general and specific databases between 2000 and 2021. According to the findings, there is a low level of contamination of meat with arsenic (As) and mercury (Hg). In contrast, the lead (Pb) and cadmium (Cd) levels exceed the Codex permissible levels. There was also a highly severe heterogeneity in the results, and no subgroup analysis revealed the cause of this heterogeneity. However, different continent subgroups, types of meat, and fat content of meat are universally defined as the primary sources of high toxic heavy metal (THM) concentrations. Also, the results of the subgroup analysis showed the Asia continent 1020.15 μg/kg (95 % CI = 605.13-1435.18), followed by Africa 965.73 μg/kg (95 % CI = 840.64-1094.42), have the highest level of Pb contamination. Similarly, Asia 232.12 μg/kg (95 % CI = 206.45-257.79) and Africa 84.68 μg/kg (95 % CI = 74.69-94.66) have reported high levels of Cd that exceeded the limit of the standards. The risk assessment results also revealed that red meat consumption carries health risks due to excessive heavy metals content particularily for heavy consumers. As a result, it is necessary to implement strict control measures to prevent heavy metal contamination in these critical food products for all consumers worldwide, particularly in Asia and Africa.
Topics: Humans; Cadmium; Lead; Metals, Heavy; Arsenic; Mercury; Red Meat; Risk Assessment; Environmental Monitoring; Soil Pollutants; China
PubMed: 37209751
DOI: 10.1016/j.scitotenv.2023.164100 -
Analytical Chemistry Oct 2023Modern agricultural practice relies heavily on pesticides and herbicides to increase crop productivity, and consequently, their residues have a negative impact on the...
Modern agricultural practice relies heavily on pesticides and herbicides to increase crop productivity, and consequently, their residues have a negative impact on the environment and public health. Thus, keeping these issues in account, herein we developed an azodye-based chromogenic sensor array for the detection and discrimination of pesticides and herbicides in food and soil samples, utilizing machine learning approaches such as hierarchical clustering analysis, principal component analysis, linear discriminant analysis (LDA), and partial least square regression (PLSR). The azodye-based sensor array was developed in combination with various metal ions owing to their different photophysical properties, which led to distinct patterns toward various pesticides and herbicides. The obtained distinct patterns were recognized and processed through automated multivariate analysis, which enables the selective and sensitive identification and discrimination of various target analytes. Further, the qualitative and quantitative determination of target analytes were performed using LDA and PLSR; the results obtained show a linear correlation with varied concentrations of target analytes with values from 0.89 to 0.96, the limit of detection from 5.3 to 11.8 ppm with a linear working range from 1 to 30 μM toward analytes under investigation. Further, the developed sensor array was successfully utilized for the discrimination of a binary mixture of pesticide (chlorpyrifos) and herbicide (glyphosate).
Topics: Pesticides; Herbicides; Multivariate Analysis; Chlorpyrifos; Cluster Analysis
PubMed: 37726218
DOI: 10.1021/acs.analchem.3c01331