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Analytical and Bioanalytical Chemistry Sep 2018
Topics: Food Contamination; Food Handling; Food Microbiology; Hazard Analysis and Critical Control Points; Humans; Risk Assessment; United States
PubMed: 29748755
DOI: 10.1007/s00216-018-1129-0 -
Combinatorial Chemistry & High... 2020
Topics: Environmental Monitoring; Environmental Pollutants; Magnetic Resonance Spectroscopy; Models, Molecular; Molecular Structure; Spectroscopy, Fourier Transform Infrared; Spectrum Analysis, Raman
PubMed: 33028182
DOI: 10.2174/138620732307200713120351 -
Electrophoresis Oct 2018
Topics: Biological Products; Chemistry, Pharmaceutical; Electrophoresis; Humans; Pharmaceutical Preparations; Technology, Pharmaceutical
PubMed: 30318650
DOI: 10.1002/elps.201870164 -
Current Opinion in Neurobiology Apr 2019Calcium imaging is a popular tool among neuroscientists because of its capability to monitor in vivo large neural populations across weeks with single neuron and single... (Review)
Review
Calcium imaging is a popular tool among neuroscientists because of its capability to monitor in vivo large neural populations across weeks with single neuron and single spike resolution. Before any downstream analysis, the data needs to be pre-processed to extract the location and activity of the neurons and processes in the observed field of view. The ever increasing size of calcium imaging datasets necessitates scalable analysis pipelines that are reproducible and fully automated. This review focuses on recent methods for addressing the pre-processing problems that arise in calcium imaging data analysis, and available software tools for high throughput analysis pipelines.
Topics: Calcium; Neurons; Software
PubMed: 30529147
DOI: 10.1016/j.conb.2018.11.004 -
Steroids Jan 2020Steroids are an important biomolecule class for analysis due to their promise as biomarkers for various diseases and their abuse as performance enhancers in sports.... (Review)
Review
Steroids are an important biomolecule class for analysis due to their promise as biomarkers for various diseases and their abuse as performance enhancers in sports. Current analytical methods, including chromatography and nuclear magnetic resonance spectroscopy, fall short of being able to confidently analyze steroids, partly due to the large number of steroid isomers. Ion mobility spectrometry (IMS), a gas-phase ion separator, has shown potential for steroid analysis both in conjunction with liquid chromatography (LC) and as a stand-alone technique. This review will examine the current literature on IMS analysis of steroids. Analysis by LC-IMS will include examination of steroids and steroid glucuronides in human urine and serum samples for enhanced signal-to-noise ratios and higher confidence of identification. The stand-alone IMS analysis will examine the use of derivatization of steroids and formation of multimers to enhance resolution for steroid isomers analysis, where both methods have been shown to greatly increase the separation of steroid isomer species. However, these methods have not been applied to biological mixtures to assess their applicability to medical and forensic applications, which should be a future direction of this field.
Topics: Humans; Ion Mobility Spectrometry; Steroids
PubMed: 31672629
DOI: 10.1016/j.steroids.2019.108531 -
Environmental Science and Pollution... Jan 2023The study examines how trade influences the environment via the effects of scale, composition, and technique. The study is conducted for Pakistan based on yearly data...
The study examines how trade influences the environment via the effects of scale, composition, and technique. The study is conducted for Pakistan based on yearly data between 1980 and 2020. The study takes into both symmetric and asymmetric analyses of trade and environment. The symmetric analysis is carried out through the autoregressive distributed lag (ARDL) model. ARDL ignores the nonlinear association between the variables and captures only the linear relationship among variables whereas nonlinear ARDL captures the asymmetry. Results of the symmetric analysis show that scale and composition effect positively contribute to CO emission while technique effect is inversely related to CO release. Openness to trade accelerates the CO discharge. The findings also confirm the presence of the pollution haven proposition. Moreover, natural resource abundance increases emissions while better governance reduces the emission. The asymmetric analysis illustrates that there is a nonlinear association between trade openness and carbon dioxide emission. The rise and decline in trade are found to be positive and insignificant respectively. Moreover, the findings of asymmetric analysis follow the findings of the symmetric analysis in direction. The study suggests that emissions can be reduced by using environment-friendly technology and by improving governance.
Topics: Economic Development; Carbon Dioxide; Pakistan; Environmental Pollution; Natural Resources
PubMed: 36094703
DOI: 10.1007/s11356-022-22669-7 -
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 -
Electrophoresis Jan 2022The review provides a comprehensive overview of developments and applications of high performance capillary and microchip electroseparation methods (zone... (Review)
Review
The review provides a comprehensive overview of developments and applications of high performance capillary and microchip electroseparation methods (zone electrophoresis, isotachophoresis, isoelectric focusing, affinity electrophoresis, electrokinetic chromatography, and electrochromatography) for analysis, microscale isolation, and physicochemical characterization of peptides from 2019 up to approximately the middle of 2021. Advances in the investigation of electromigration properties of peptides and in the methodology of their analysis, such as sample preparation, sorption suppression, EOF control, and detection, are presented. New developments in the individual CE and CEC methods are demonstrated and several types of their applications are shown. They include qualitative and quantitative analysis, determination in complex biomatrices, monitoring of chemical and enzymatic reactions and physicochemical changes, amino acid, sequence, and chiral analyses, and peptide mapping of proteins. In addition, micropreparative separations and determination of significant physicochemical parameters of peptides by CE and CEC methods are described.
Topics: Electrophoresis, Capillary; Isoelectric Focusing; Peptide Mapping; Peptides; Proteins
PubMed: 34632606
DOI: 10.1002/elps.202100243 -
Spectrochimica Acta. Part A, Molecular... Feb 2023Noninvasive detection of human blood components is the dream of human beings and the goal of clinical detection. From the perspective of mathematical analysis, based on...
Noninvasive detection of human blood components is the dream of human beings and the goal of clinical detection. From the perspective of mathematical analysis, based on the grey analysis system, the principle of spectral chemical quantitative analysis and the solution method of multivariate linear equation, this paper pioneers the spectrum elimination method, and obtains a complete, high-precision, synchronous and noninvasive detection system for a variety of human blood components. The spectral elimination method applies the principle of elimination method in mathematics to the noninvasive quantitative analysis of human blood components by spectral method, reduces the influence of non-target components on the detection of target components, and improves the accuracy of noninvasive quantitative analysis of human blood components. To demonstrate the effectiveness of the method, taking the analysis of the contents of seven blood components (hemoglobin, red blood cell count, neutrophils, lymphocytes, monocytes, eosinophils and basophils) in blood as an example, fourteen models were established by two different methods. From the comparison of modeling results, it can be concluded that when the seven models established by spectral elimination method predict the corresponding seven components of all samples, the predicted correlation coefficients are more than 0.9500. The experimental results show that the spectral elimination method and non-invasive detection system proposed can predict the content of human blood components with high accuracy. This paper studies a high-precision, simultaneous and noninvasive quantitative analysis system of multiple human blood components for the first time, which not only makes great progress in the non-invasive chemical quantitative analysis of human blood components by spectroscopy, but also has great application value for clinical medical treatment and disease diagnosis.
Topics: Humans; Hemoglobins; Spectrum Analysis
PubMed: 36335748
DOI: 10.1016/j.saa.2022.122043 -
Journal of Environmental Management Jun 2023Odor pollution has become a global environmental issue of increasing concern in recent years. Odor measurements are the basis of assessing and solving odor problems.... (Review)
Review
Odor pollution has become a global environmental issue of increasing concern in recent years. Odor measurements are the basis of assessing and solving odor problems. Olfactory and chemical analysis can be used for odor and odorant measurements. Olfactory analysis reflects the subjective perception of human, and chemical analysis reveals the chemical composition of odors. As an alternative to olfactory analysis, odor prediction methods have been developed based on chemical and olfactory analysis results. The combination of olfactory and chemical analysis is the best way to control odor pollution, evaluate the performances of the technologies, and predict odor. However, there are still some limitations and obstacles for each method, their combination, and the prediction. Here, we present an overview of odor measurement and prediction. Different olfactory analysis methods (namely, the dynamic olfactometry method and the triangle odor bag method) are compared in detail, the latest revisions of the standard olfactometry methods are summarized, and the uncertainties of olfactory measurement results (i.e., the odor thresholds) are analyzed. The researches, applications, and limitations of chemical analysis and odor prediction are introduced and discussed. Finally, the development and application of odor databases and algorithms for optimizing odor measurement and prediction methods are prospected, and a preliminary framework for an odor database is proposed. This review is expected to provide insights into odor measurement and prediction.
Topics: Humans; Odorants; Smell; Olfactometry; Environmental Pollution; Algorithms
PubMed: 36878058
DOI: 10.1016/j.jenvman.2023.117651