Development and optimization of natural deep eutectic solvent-based dispersive liquid-liquid microextraction coupled with UPLC-UV for simultaneous determination of parabens in personal care products: evaluation of the eco-friendliness level of the developed method.

Dispersive liquid-liquid microextraction (DLLME) combined with ultra-high performance liquid chromatography-diode array detector (UHPLC-DAD) method has been developed and validated for the determination of parabens in personal care products. In this study, a natural deep eutectic solvent (NADES) composed of menthol and formic acid at a molar ratio of 1 : 2 was prepared and used as an extraction solvent. The influencing variables on the extraction efficiency such as extraction solvent type and volume, composition of NADES, salt addition, vortex and centrifugation time were investigated. The proposed method exhibited good linearity with determination coefficients of ≥0.9992. The relative recoveries for the studied analytes ranged from 82.19 to 102.45%. Limits of detection and limits of quantification were in the range of 0.17-0.33 ng mL-1 and 0.51-0.99 ng mL-1, respectively. To evaluate the applicability of the developed method, it was successfully applied to determine four parabens in personal care products. Additionally, the eco-friendliness level of the presented method was evaluated using Eco-Scale Assessment, Green Analytical Procedure Index and Analytical GREEnness metric. The developed method is simple, environmentally friendly and cost effective and it could be employed for determination of parabens in personal care products without harming the environment.

GC-MS Determination of Undeclared Phthalate Esters in Commercial Fragrances: Occurrence, Profiles and Assessment of Carcinogenic and Non-Carcinogenic Risk Associated with Their Consumption among Adult Consumers.

Phthalates are chemicals that are extensively used in the manufacturing of cosmetic products. The occurrence of phthalate esters in personal care products may pose adverse effects on consumers' health. In this work, a simple, fast and reliable GC-MS method was developed and validated for concurrent determination of phthalate esters in fragrances. Simple procedures were employed for sample preparation and clean up. The recoveries achieved were in the range of 94.9% to 105.6% with RSD ≤ 4.06. The detection limits were in the range of 0.0010 to 0.0021 µg/mL. The GC-MS method was utilized to investigate the occurrence of phthalate esters in different brands of perfumes sold in the Saudi Arabian market. Diethyl phthalate was detected in all analyzed samples, with a maximum concentration of 5766 µg/mL, and di (2-ethylhexyl) phthalate was detected in the majority of the analyzed samples (95%), with a mean concentration of 55.9 µg/mL and a highest concentration of 377.7 µg/mL. Additionally, the exposure to phthalate esters due to the consumption of perfumes was investigated among the adult Saudi population for the first time. It was found that the systemic exposure dose, measured at mean concentrations, ranged from 4.59 × 10-4 to 4.29 × 10-2 (mg/kg/day) and from 5.00 × 10-4 to 4.68 × 10-2 (mg/kg/day) for male and female users, respectively. Moreover, the non-carcinogenic risk of the investigated phthalate esters and the carcinogenic risk of DEHP were also evaluated. The non-carcinogenic risk values of the detected phthalate esters were greater than 100, which indicates that exposure to these phthalate esters is unlikely to produce non-carcinogenic health effects to consumers. However, at maximum DEHP concentrations, the carcinogenic risk values were 5.49 × 10-5 for male users and 5.98 × 10-5 for female users, which indicates the possibility of DEHP to pose a carcinogenic health effect if present at high levels. Regular monitoring of undeclared chemicals such as phthalate esters in personal care products marketed in Saudi Arabia is extremely important to ensure consumers' safety. To the best of the authors' knowledge, this is the first study to assess the health risk associated with consumption of perfumes in Saudi Arabia.

Sustainable dispersive liquid-liquid microextraction method utilizing a natural deep eutectic solvent for determination of chloramphenicol in honey: assessment of the environmental impact of the developed method.

The greening of pharmaceutical analysis is gaining interest, and different approaches have been proposed, such as minimizing the consumption of hazardous reagents, replacing toxic solvents with safer alternatives, and reducing waste generation. In this work, a natural deep eutectic solvent (NADES) was synthesized and utilized as a green alternative in dispersive liquid-liquid microextraction (DLLME) for the determination of chloramphenicol in honey. Different deep eutectic solvents composed of monoterpenoids and acids were tested. The NADES system composed of menthol and acetic acid at a molar ratio of 1 : 1 was found to be the most appropriate in terms of extraction recovery. Different DLLME parameters including vortex time, centrifugation time, sample volume, and deep eutectic solvent volume were optimized. A determination coefficient of 0.9997 was achieved. Satisfactory recovery ranged from 98.8 to 101.5 with % RSD ≤4.5. The chromatographic performance of the presented method compared with other previously documented methods for determination of chloramphenicol in honey was highlighted. Additionally, the ecological impact of the developed method was assessed employing three tools: the Analytical Eco-scale, the Green Analytical Procedure Index, and the Analytical GREEnness metric. The presented method can be regarded as a green substitute for the traditional methods used for the determination of chloramphenicol in honey.

The effect of natural antioxidants, pH, and green solvents upon catechins stability during ultrasonic extraction from green tea leaves (Camellia sinensis).

BACKGROUND: This is a first-time report to evaluate the effect of natural antioxidants, pH, and green solvents upon catechins yield and stability during the active process of extraction from green tea leaves. METHODOLOGY: Green solvents (model-A) augmented with piperine (PPN) and quercetin (QT) as natural antioxidants (model-B) at different pH 2-6 (model-C) were used to extract catechins from green tea leaves using an ultrasonic extraction process (USE). For quantification of catechins (EC; epicatechins, ECG; epicatechin gallate, and EGCG; epigallocatechin gallate), a green and sensitive UHPLC-MS/MS method was developed and validated. RESULTS: The UHPLC-MS/MS method showed an accuracy of 98.3-102.6 % within the linearity range of 1-500 ppb for EC (m/z) 289 â†’ 245 â†’ 109, ECG (m/z) 441.2 â†’ 169 â†’ 289, and EGCG (m/z) 457.1 â†’ 169 â†’ 125.1. The general yield (ppb) for EC, ECG, and EGCG was observed with the ranges and sum of (N = 180) 0.06-157.80 and 6696.83, 0.04-316.93 and 12632.60 and, 0.12-584.11 and 26144.83, respectively. Model-C revealed the highest yield for catechins at the lowest pH-2 with an individual catechin yield of EGCG (584.11) > ECG (316.93) > EC (157.80) in CW2. In terms of stability, EGCG was the most unstable catechin whereas, catechins extracted in model-B exhibited more stability (%recovery of 14.70 for EC, 10.55 for ECG, and 5.36 for EGCG in BEP). Moreover, model-B showed the minimal degradation for catechins within the range of 11.81-94.64 (BEP); even the most degradable EGCG was seen with the smallest %loss of 11.81-94.64 at time 24-70 h, as compared to the loss of > 95 % in model-A and C. The ANOVA score for catechins yield was; F11,168 = 61.06 (EC), F11,168 = 66.53 (ECG), and F11,168 = 48.92 (EGCG) (P = 0.00) with mean scores of (M = 94.63, SD = 25.46) for EC, (M = 194.87, SD = 51.41) ECG, and (M = 357.57, SD = 96.80) EGCG in CE2. CONCLUSION: A significant effect on catechins yield and stability was observed with the use of natural antioxidants and lowest pH-2.

The ecological impact of liquid chromatographic methods reported for bioanalysis of COVID-19 drug, hydroxychloroquine: Insights on greenness assessment.

Hydroxychloroquine is a drug that has been widely used during the early stages of COVID-19 pandemic. Different liquid chromatographic methods have been reported for the analysis of hydroxychloroquine in various biological matrices such as human plasma, serum, whole blood, oral fluid, rat plasma and tissues. In this comparative study, the most popular tools used for assessing the greenness profile: National Environmental Methods Index (NEMI), Eco-Scale Assessment (ESA), Green Analytical Procedure Index (GAPI) and Analytical Greenness metric (AGREE) were utilized to evaluate the ecological impact of eighteen liquid chromatographic methods developed for the bioanalysis of COVID-19 drug; hydroxychloroquine. NEMI is the simplest tool for evaluating the greenness profile of developed methods, but it is the least informative approach as all the reported methods had the same NEMI pictograms. On the other hand, GAPI is a dependable tool providing a complete picture about the method greenness starting from sampling until the final determination. ESA and AGREE tools are digitally presented and more easily applied. Therefore, their utilization for greenness assessment is highly recommended. Selection of the highest eco-friendly analytical procedure is of a paramount importance for protecting human health and the environment. Considering the greenness of the analytical procedures is highly recommended before proceeding to routine use in order to minimize the chemical hazards to the environment. The most eco-friendly analytical procedures for the analysis of hydroxychloroquine in biological samples according to ESA, GAPI and AGREE tools will be highlighted and discussed.

Simultaneous determination of antibiotics residues in edible fish muscle using eco-friendly SPE-UPLC-MS/MS: Occurrence, human dietary exposure and health risk assessment for consumer safety.

Occurrence of multi-class antibiotics in edible fish species from the Saudi market was investigated. A fast and sensitive UPLC-MS/MS method for simultaneous determination of selected fluoroquinolones, sulfonamides and macrolides in fish muscle was developed and validated. Sample clean up was performed using solid-phase extraction on Oasis HLB cartridges. The greenness profile of the developed method was evaluated using three assessment tools: analytical Eco-scale assessment method, green analytical procedure index and analytical greenness metric. Detection limits ranged from 0.008 to 0.35 µg/kg. The recovery ranged from 80.1 % to 98.6 % with RSDs ≤ 12.1 %. The mean and maximum concentrations of the detected antibiotics in fish samples ranged between 0.28 and 19.15 and 3.50-112.00 µg/kg, respectively. Human antibiotics (clarithromycin and roxithromycin) were detected in 50 % and 27.5 % of the samples, respectively. The estimated daily intake for the detected antibiotics ranged from 0.10 to 6.61 ng/kg/ BW/day for Saudi adults. The health risk associated with fish consumption was evaluated. The results suggested that fish consumption may not pose a serious risk to consumers in Saudi Arabia. The developed method was fast, sensitive, cost-effective and environmentally friendly.

Investigation on the elemental profiles of lip cosmetic products: Concentrations, distribution and assessment of potential carcinogenic and non-carcinogenic human health risk for consumer safety.

Metal contamination of lip care products can cause potential adverse effects for consumers, hence assessment of human health risks associated with the consumption of these products is inevitable to ensure the consumers' safety. In the presented study, the profiles of 18 elements in 37 of the most popular lip cosmetic products, of various types and brands, sold in the Saudi Arabian markets, were investigated and their associated potential carcinogenic and non-carcinogenic human health risks were assessed. The metal concentrations were determined using inductively coupled plasma mass spectrometry preceded by microwave digestion for sample preparation. In general, the concentrations of the investigated metals were lower than the safe permissible limits with the exception of Cd, Pb and Hg. The results found that Cd was regarded as the primary metal contaminant present in the analyzed lip products contributing to 66.3% of the total determined carcinogenic health risk. Overall, however it was observed that there was no significant non-carcinogenic (hazard index < 1) or carcinogenic (RiskT < 10-4) health risks associated with the use of the investigated lip products. Although all the calculated values in this study were within the acceptable limits, special attention should be taken in order to prioritize minimizing the trace metals in lip products, especially for Cd, Pb, Ti and Hg. This study could provide vital data needed to ascertain the degree to which heavy metal exposure through cosmetics is prevalent.

Gas Chromatography-Mass Spectrometry (GC-MS) Metabolites Profiling and Biological Activities of Various Capsicum annum cultivars.

This study evaluates the quality variation for twenty-seven capsicum fruit (CF) samples, in terms of their volatile oil composition and biological activities. The GCMS analysis revealed the presence of seventy one chemical compounds from different chemical classes with an average (%) composition of: 26.13 (alcohols) > 18.82 (hydrocarbons) > 14.97 (esters) > 3.08 (ketones) > 1.14 (others) > 1.07 (acids) > 0.72 (sugar) > 0.42 (aldehydes) > 0.15 (amino compounds). Alcohols and hydrocarbons were the most abundant in these CF samples with 1-Decanol, 2-octyl- and docosanoic acid, docosyl ester as the major components, respectively. The % inhibition in cytotoxicity assays was observed in the range of 9−47 (MCF7) and 4−41 (HCT116) whereas, the zone of inhibition (mm) for the antimicrobial activity was found to be 0.0−17 (P. aeruginosa) > 0.0−13 (E. coli and S. aureus). Moreover, the samples with the largest zone of inhibition in the agar-well-diffusion method (C16, C19, and C26) upon further evaluation presented the least MIC and MBC values against P. aeruginosa with an MIC and MBC (µg/mL) of 6.3 and 12.5, respectively. The outcome for GCMS and biological activities were further supported by statistical tools of PCA and K-mean cluster analysis which confirmed the C16 CF sample with the best activity followed by C5, C13 (the best cytotoxic), and C19, C26 (the best antimicrobial). The statistical analysis exhibited a high Chi-square value of 5931.68 (GCMS) and 32.19 (biological activities) with p = 0.00 for KMO and Bartlett's Test of Sphericity. The 27-CF samples were effectively distinguished based on quality variation, and the C16 CF sample exhibited significant potential for further study.

Emergency Department Utilization Among Maintenance Hemodialysis Patients: A Systematic Review.

RATIONALE & OBJECTIVE: To evaluate predictors of emergency department (ED) utilization by adult patients receiving hemodialysis (HD) and interventions to reduce ED utilization by HD patients. STUDY DESIGN: We searched Ovid MEDLINE, Ovid Embase, and the Cochrane Library for randomized controlled trials and observational studies published until April 2020. SETTING & PARTICIPANTS: We included studies that investigated predictors of ED utilization and/or interventions to reduce ED utilization in HD patients. We extracted data regarding the study design and study population and results regarding ED utilization from 38 studies using Excel software. ANALYTICAL APPROACH: We performed a narrative synthesis to group articles that investigated similar themes. RESULTS: 1,060 titles and abstracts were screened, of which 98 were selected for full-text review. In total, 38 studies met the inclusion criteria and underwent data extraction. Quality was high according to the Downs and Black tool, with 11 studies rated as good, 22 as fair, and 5 as poor. 34 studies described predictors of ED utilization, whereas 4 studies investigated interventions in which ED utilization was studied. Our narrative synthesis produced 8 concept subgroups in the core concepts of access to care, comorbid condition burden, and new health care models. Poor access to care and a high comorbid condition burden are associated with increased ED use. No ED-based interventions designed to reduce ED utilization were identified, but recent changes in health care systems, like the formation of End-Stage Renal Disease Seamless Care Organizations and greater involvement of palliative care services, are associated with improved outcomes. LIMITATIONS: Clinical heterogeneity and variability in the included studies precluded a meta-analysis. CONCLUSIONS: HD patients' high ED use is multifactorial. Further research is required to understand and predict ED utilization in this vulnerable population, which will facilitate the development of interventions to reduce avoidable ED use. PROSPERO REGISTRATION NUMBER: CRD42020196569.

ICP-MS determination of elemental abundance in traditional medicinal plants commonly used in the Kingdom of Saudi Arabia.

Medicinal plants are widely used in the Kingdom of Saudi Arabia to treat various ailments in the form of folk medicine. Forty four such medicinal plant samples were collected from local markets and evaluated for the presence of 14 elements (Mn, Cr, Co, Ni, Cu, Mo, Al, Pb, Ba, Zn, Ag, Hg, Bi, Cd). Microwave-assisted digestion with inductively coupled plasma-mass spectrometry (ICP-MS) was applied to determine the elemental composition in these medicinal plants. Widespread occurrence of these elements was observed in all plant samples, except for Bi and Co where the lowest mean values of 0.03 ± 0.04 and 0.03 ± 0.15 were observed, respectively. The descending order for mean (µg/g) elemental occurrence observed was as follows: Ba > Al > Zn > Ni > Mn > Ba > Hg > Mo > Cu > Cr > Ag > Cd > Co > Bi, whereas the range for these elements in the 44-medicinal plants was as follows: Pb > Al > Zn > Ni > Mn > Cu > Mo > Ag > Ba > Hg > Co > Cd > Cr > Bi. Pb, Hg and Cd were found beyond the maximum limits in these medicinal plants, while the remaining elements were found well within the range of maximum limits. A number of medicinal plants showed high amounts of these elements. Some plants contained more than one element, such as Foeniculum vulgare Mill (Pb, Hg, Cd), Ricinus communis (Pb, Cd), Vigna radiata (Pb, Cd) and Sesamum indicum (Pb, Hg). The data matrix was validated through the statistical tools of principal component analysis (X2 = 160.44, P = .00), Pearson's correlation (P = .01 and 0.05), and K-mean cluster analysis (F = 104.55, P = .00). The findings of the study provide baseline data for the comparative analysis of these medicinal plants, which may help select safe medicinal plants in terms of consumer-based use and its utilisation for the treatment of various ailments.

Insulin resistance induced by de novo pathway-generated C16-ceramide is associated with type 2 diabetes in an obese population.

BACKGROUND: Obesity and diabetes are two chronic metabolic diseases whose prevalence is increasing at an alarming rate globally. A close association between obesity, diabetes, and insulin resistance has been identified, and many studies have pinpointed obesity as a causal risk factor for insulin resistance. However, the mechanism underlying this association is not entirely understood. In the past decade, ceramides have gained attention due to their accumulation in certain tissues and their suggested role in initiating insulin resistance. This study aims to determine the association of specific ceramides and their major metabolizing enzymes with obesity-associated insulin resistance. METHODS: The samples comprised subcutaneous adipose tissues collected from three cohorts: lean non-diabetic (controls; n = 20), obese-non-diabetic (n = 66), and obese-diabetic (n = 32). Ceramide levels were quantified using LC-MS/MS and mRNA expression level for different enzymes were estimated using real-time PCR-based RNA expression analysis. RESULTS: C16-ceramide (P = 0.023), C16-dihydro-ceramide (P < 0.005), C18-dihydro-ceramide (P = 0.009) and C24-ceramide (P = 0.040) levels were significantly increased in the obese cohort compared to the control group. However, stratification of the obese group revealed a significant increase in the C16-ceramide levels (P = 0.027) and mRNA over expression of the serine palmitoyl transferases enzyme subunit SPT1 (P < 0.005) in the obese-diabetic cohort compared to the obese-non-diabetic cohort. CONCLUSIONS: The present study indicates that C16-ceramide plays a pivotal role in inducing insulin resistance. Overexpression of SPT1 in the obese-diabetic group and its positive correlation with C16-ceramide suggest that C16-ceramide was generated through the de novo pathway.

Chemometric Assisted UV-Spectrophotometric Methods Using Multivariate Curve Resolution Alternating Least Squares and Partial Least Squares Regression for Determination of Beta-Antagonists in Formulated Products: Evaluation of the Ecological Impact.

In this study, UV-spectrophotometry coupled with chemometrics has been utilized to enhance the sustainability of quality control analysis of beta antagonists. First, we developed and optimized two eco-friendly chemometric-assisted methods without preliminary separation utilizing (1) multivariate curve resolution alternating least squares (MCR-ALS) and (2) well-established partial least squares regression (PLSR) multivariate calibration for the resolution and quantification of the most commonly prescribed beta antagonists in active pharmaceutical ingredients or commercial pharmaceutical products. The performance of the two proposed chemometric methods was computed and compared. Second, a comprehensive qualitative and quantitative evaluation of the eco-friendliness of the developed methods was performed utilizing the following greenness assessment tools: Green Analytical Procedure Index (GAPI), Analytical Eco-scale assessment (AES) tool, Raynie and Driver's assessment tool and Analytical GREEnness Metric (AGREE). The models showed satisfactory recovery with a range from 99.83% to 101.12% for MCR-ALS and from 99.66% to 101.54% for PLSR. The optimized models were employed for green analysis of the investigated beta-blockers in single or co-formulated formulations without prior separation. The predictivity of the proposed MCR-ALS and the well-established PLSR method were very comparable. Nevertheless, the MCR-ALS method has the ability to recover the pure spectra of the studied analytes and the interferences as well. The proposed chemometric methods are fast, precise and do not need any sample pretreatment. In addition, they can be used as a benign substitute for the traditional methods used for the analysis of the investigated drugs in pharmaceutical products without harmful impacts on human health and the environment. They also provide advantages in terms of low solvent usage, reduced energy consumption and short analysis time, making them a safe and sustainable approach for quality control analysis.

A global metagenomic map of urban microbiomes and antimicrobial resistance.

We present a global atlas of 4,728 metagenomic samples from mass-transit systems in 60 cities over 3 years, representing the first systematic, worldwide catalog of the urban microbial ecosystem. This atlas provides an annotated, geospatial profile of microbial strains, functional characteristics, antimicrobial resistance (AMR) markers, and genetic elements, including 10,928 viruses, 1,302 bacteria, 2 archaea, and 838,532 CRISPR arrays not found in reference databases. We identified 4,246 known species of urban microorganisms and a consistent set of 31 species found in 97% of samples that were distinct from human commensal organisms. Profiles of AMR genes varied widely in type and density across cities. Cities showed distinct microbial taxonomic signatures that were driven by climate and geographic differences. These results constitute a high-resolution global metagenomic atlas that enables discovery of organisms and genes, highlights potential public health and forensic applications, and provides a culture-independent view of AMR burden in cities.

A synthesis of bacterial and archaeal phenotypic trait data.

A synthesis of phenotypic and quantitative genomic traits is provided for bacteria and archaea, in the form of a scripted, reproducible workflow that standardizes and merges 26 sources. The resulting unified dataset covers 14 phenotypic traits, 5 quantitative genomic traits, and 4 environmental characteristics for approximately 170,000 strain-level and 15,000 species-aggregated records. It spans all habitats including soils, marine and fresh waters and sediments, host-associated and thermal. Trait data can find use in clarifying major dimensions of ecological strategy variation across species. They can also be used in conjunction with species and abundance sampling to characterize trait mixtures in communities and responses of traits along environmental gradients.

Usage Patterns of Cosmetic and Personal Care Products among Female Population in Saudi Arabia: Important Factors for Exposure and Risk Assessment.

Reliable data regarding the usage patterns of personal care products (PCPs) are needed to determine the health risks posed by the ingredients of these products such as parabens, phthalates, and bisphenol A. There are no published data regarding the consumption patterns of PCPs in the Middle East in general and in Saudi Arabia in particular. To fill this gap, this study aimed to assess important factors such as the percentage of users and the frequency of use and co-use of twenty-three cosmetic and PCPs among the female population in Saudi Arabia. Additionally, this study aimed to assess the common cosmetic-related adverse events among the participants. The studied products included general hygiene, hair care, skin care, makeup, fragrances, and other products. The data were collected from 709 female participants of different age groups through a digital questionnaire. It was found that eighteen of the investigated products are consumed by at least 50% of the respondents. The frequency of use of PCPs varied over a wide range. Cosmetic-related adverse events were experienced by 16.1% of the participants. Use frequencies of many hygiene and makeup products were correlated with each other. This study provides, for the first time, baseline data on the usage patterns of a large number of widely consumed PCPs among female population pertaining to several sociodemographic strata. Such information is crucial for exposure and risk assessment and also needed for updating the current knowledge on usage of PCPs in Saudi Arabia.

Simultaneous Determination of Drugs Affecting Central Nervous System (CNS) in Bulk and Pharmaceutical Formulations Using Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS).

The quality of medications is important to maintain the overall health care of patients. This study aims to develop and validate a spectrophotometric method using multivariate curve resolution-alternating least squares (MCR-ALS) with correlation constraint for simultaneous resolution and quantification of selected drugs affecting the central nervous system (imipramine, carbamazepine, chlorpromazine, haloperidol, and phenytoin) in different pharmaceutical dosage forms. Figures of merit such as root-mean-square error of prediction, bias, standard error of prediction, and relative error of prediction for the developed method were calculated. High values of correlation coefficients ranged between 0.9993 and 0.9998 reflected high predictive ability of the developed method. The results are linear in the concentration range of 0.3-5 µg/mL for carbamazepine, 0.3-15 µg/mL for chlorpromazine, 0.5-10 µg/mL for haloperidol, 0.5-10 µg/mL for imipramine, and 3-20 µg/mL for phenytoin. The optimized method was successfully applied for the analysis of the studied drugs in their pharmaceutical products without any separation step. The optimized method was also compared with a reported HPLC method using Student's t test and F ratio at 95% confidence level, and the results showed no significant difference regarding accuracy and precision. The proposed chemometric method is fast, reliable, and cost-effective and can be used as an eco-friendly alternative to chromatographic techniques for the analysis of the studied drugs in commercial pharmaceutical products.

Simultaneous Determination of Over-the-Counter Pain Relievers in Commercial Pharmaceutical Products Utilizing Multivariate Curve Resolution-Alternating Least Squares (MCR-ALS) Multivariate Calibration Model.

The quality of over-the-counter (OTC) pain relievers is important to ensure the safety of the marketed products in order to maintain the overall health care of patients. In this study, the multivariate curve resolution-alternating least squares (MCR-ALS) chemometric method was developed and validated for the resolution and quantification of the most commonly consumed OTC pain relievers (acetaminophen, acetylsalicylic acid, ibuprofen, naproxen, and caffeine) in commercial drug formulations. The analytical performance of the developed chemometric methods such as root mean square error of prediction, bias, standard error of prediction, relative error of prediction, and coefficients of determination was calculated for the developed model. The obtained results are linear with concentration in the range of 0.5-7 µg/mL for acetaminophen and 0.5-3.5 and 0.5-3 µg/mL for naproxen and caffeine, respectively, while the linearity ranges for acetyl salicylic acid and ibuprofen were 1-15 µg/mL. High values of coefficients of determination ≥0.9995 reflected high predictive ability of the developed model. Good recoveries ranging from 98.0% to 99.7% were obtained for all analytes with relative standard deviations (RSDs) not higher than 1.62%. The optimized method was successfully applied for the analysis of the studied drugs either in their single or coformulated pharmaceutical products without any separation step. The optimized method was also compared with a reported HPLC method using paired t-test and F-ratio at 95% confidence level, and the results showed no significant difference regarding accuracy and precision. The developed method is eco-friendly, simple, fast, and amenable for routine analysis. It could be used as a cost-effective alternative to chromatographic techniques for the analysis of the studied drugs in commercial formulations.

Quantitative analysis and resolution of pharmaceuticals in the environment using multivariate curve resolution-alternating least squares (MCR-ALS).

The study presents the application of multivariate curve resolution alternating least squares (MCR-ALS) with a correlation constraint for simultaneous resolution and quantification of ketoprofen, naproxen, paracetamol and caffeine as target analytes and triclosan as an interfering component in different water samples using UV-Vis spectrophotometric data. A multivariate regression model using the partial least squares regression (PLSR) algorithm was developed and calculated. The MCR-ALS results were compared with the PLSR obtained results. Both models were validated on external sample sets and were applied to the analysis of real water samples. Both models showed comparable and satisfactory results with the relative error of prediction of real water samples in the range of 1.70-9.75 % and 1.64-9.43 % for MCR-ALS and PLSR, resp. The obtained results show the potential of MCR-ALS with correlation constraint to be applied for the determination of different pharmaceuticals in complex environmental matrices.

Eco-Friendly Pharmaceutical Analysis of Multicomponent Drugs Coformulated in Different Dosage Forms Using Multivariate Curve Resolution and Partial Least Squares: A Comparative Study.

Background: Considering the environmental impact of analytical procedures necessitates replacing the polluting analytical methods with green alternatives. Objective: This study aims to develop and validate a multivariate curve resolution-alternating least-squares (MCR-ALS) method with correlation constraint for the simultaneous determination of theophylline, ambroxol, and guaifenesin as target analytes in the presence of methylparaben and propylparaben as interfering components. In addition, a partial least-squares regression (PLSR) method was also developed and optimized. Method: The developed methods were validated according to International Conference on Harmonization guidelines and successfully applied for the quantification of the target analytes in different pharmaceutical dosage forms. Results: Figures of merit such as root mean square error of prediction, bias, standard error of prediction, and relative error of prediction for both models were calculated, and they showed similar and satisfactory results. Correlation coefficients ranged between 0.9988 and 0.9992, reflecting high predictive ability. The optimized methods were compared with a reported HPLC method using one-way analysis of variance and showed no significant difference regarding accuracy and precision. Conclusions: The proposed chemometrics methods can be used as an eco-friendly alternative for chromatographic techniques for the quality control analysis of the studied mixture in different pharmaceutical dosage forms. Highlights: An MCR-ALS model was developed. The developed model was compared with a PLSR model. Both models were validated and successfully used for the determination of a multicomponent pharmaceutical mixture. The developed method is eco-friendly, fast, reliable, and cost-effective.

Radiation and its associated health risks: assessment of knowledge and risk perception among adolescents and young adults in Saudi Arabia.

Electromagnetic radiation is the fastest growing environmental factor due to the vast development in technology in the last decades. Awareness about radiation has received more attention worldwide due to its health hazards. Adolescents are exposed to radiation from various sources on a daily basis. The number of studies conducted to assess the knowledge and perception of adolescents and young adults regarding radiation and its risks is limited, especially in the Middle East. The aim of this study was to assess the knowledge and perception about radiation and its associated hazards among adolescents and young adults. Additionally, our aim was to identify the best methods of education regarding radiation and its protective measures. A cross-sectional study was conducted among 506 participants in Saudi Arabia. It was found that the overall knowledge and awareness on radiation sources and its hazards among adolescents and young adults is inadequate. The majority of participants had misconceptions regarding radiation sources and its detriments to health. Socio-demographic variables were associated with the participants' perception. Educating adolescents on radiation and its safety measures is much needed. It was found that the most preferred methods of education are social media and health care providers. The findings of this study will provide insight when designing future interventions to promote specific messages to enhance knowledge and improve awareness regarding radiation.