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Heavy metals (HMs) increasing rate in riverine water by human activities cause serious hazards to the health and sustainability of aquatic environments. The present study examines the accumulation of HMs (Ni, Mn, Pb, Cr) in water, sediments, and Labeo rohita fish of MRL and UCC, Chenab River Pakistan, and its implications on human health. Fish 36 specimens were collected with an average body weight of 170 ± 20 g. The results revealed that HM concentration in fish organs of MRL and UCC found in gills: Ni 8.57 ± .01, Mn 7.57 ± .01, Cr 5.20 ± .01, Pb 2.56 ± .01; Ni 8.20 ± .01, Mn 7.19 ± .01, Cr 4.78 ± .01, Pb 2.19 ± .01; liver: Mn 9.54 ± .01, Ni 6.98 ± .01, Cr 4.75 ± .01, Pb 4.66 ± .01; Mn 9.15 ± .01, Ni 6.48 ± .01, Pb 4.26 ± .01, Cr 4.22 ± .01; and muscle: Ni 4.94 ± .01, Mn 4.86 ± .02, Cr 1.73 ± .01, Pb 1.50 ± .01; Ni 4.48 ± .02, Mn 4.29 ± .01, Cr 1.28 ± .01, Pb 1.25 ± .02, respectively. BCF in gills, liver, and muscle found MN > Ni > Pb > Cr; Mn > Ni > Cr > Pb; Mn > Ni > Cr > Pb, respectively. THQ value for individual metal observed THQ < 1, which signifies no adverse effects, while the combined THQ value of investigated HMs found (1.094, 1.149) THQ > 1, which signifies expected adverse effects on human health during lifetime. HI values 2.23 and 2.16 observed HI > 1 indicated that consumption of studied fish contaminated with HMs cause a possible health risk. HM concentration was also observed higher than the permissible limits of TRV/USEPA/WHO in water and sediments. Therefore, consumption of investigated fish L. rohita can accumulate an estimated concentration of 1 × 14.10-4 to 4.50 × 10-4 (mg/kg, ww)/day of Cr, Mn, Ni, and Pb which exceeded the permissible limit of 1 × 10-4 to 1 × 10-6 of FAO/WHO and specifying possible carcinogenic threats for humans.

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Angiotensin-converting enzyme 2 receptors (ACE2R) are requisite to enter the host cells for severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2). ACE2R is constitutive and functions as a type I transmembrane metallo-carboxypeptidase in the renin-angiotensin system (RAS). On thyroid follicular cells, ACE2R allows SARS-CoV-2 to invade the thyroid gland, impose cytopathic effects and produce endocrine abnormalities, including stiff back, neck pain, muscle ache, lethargy, and enlarged, inflamed thyroid gland in COVID-19 patients. Further damage is perpetuated by the sudden bursts of pro-inflammatory cytokines, which is suggestive of a life-threatening syndrome known as a "cytokine storm". IL-1ß, IL-6, IFN-γ, and TNF-α are identified as the key orchestrators of the cytokine storm. These inflammatory mediators upregulate transcriptional turnover of nuclear factor-kappa B (NF-κB), Janus kinase/signal transducer and activator of transcription (JAK/STAT), and mitogen-activated protein kinase (MAPK), paving the pathway for cytokine storm-induced thyroid dysfunctions including euthyroid sick syndrome, autoimmune thyroid diseases, and thyrotoxicosis in COVID-19 patients. Targeted therapies with corticosteroids (dexamethasone), JAK inhibitor (baricitinib), nucleotide analogue (remdesivir) and N-acetyl-cysteine have demonstrated effectiveness in terms of attenuating the severity and frequency of cytokine storm-induced thyroid dysfunctions, morbidity and mortality in severe COVID-19 patients. Here, we review the pathogenesis of cytokine storms and the mechanisms and pathways that establish the connection between thyroid disorder and COVID-19. Moreover, cross-talk interactions of signalling pathways and therapeutic strategies to address COVID-19-associated thyroid diseases are also discussed herein.

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Achieving the ideal gel strength is essential for desired texture in minced chicken products. This study developed a rapid, non-destructive method using near-infrared (NIR) spectroscopy and nonlinear chemometric modeling to predict minced chicken gel strength under ultrasonic treatment. Initially, minced chicken samples were subjected to high-intensity ultrasound for 0-50 min. This was followed by heat-induced gelation. Gel strength was conventionally measured, and NIR spectra were collected. Nonlinearity between gel strength and spectral data was confirmed using augmented partial residual plots (APaRPs). Subsequently, nonlinear support vector machine (SVM) and extreme learning machine (ELM) models were developed using full NIR spectra and variable selection methods, including uninformative variable elimination (UVE), competitive adaptive reweighting (CARS), and genetic algorithms (GA). GA proved most effective for enhancing model performance, achieving the highest predicted coefficient of determination (Rp2 = 0.8772) with the ELM model, demonstrating potential for rapid, non-destructive prediction of minced chicken gel strength quality.

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BACKGROUND AND OBJECTIVES: Apart from known factors such as irrational use of antibiotics and horizontal gene transfer, it is now reported that clustered regularly interspaced short palindromic repeats (CRISPR) are also associated with increased antimicrobial resistance. Hence, it is critical to explore alternatives to antibiotics to control economic losses. Therefore, the present study aimed to determine not only the association of CRISPR-Cas system with antibiotic resistance but also the potential of Zinc Oxide nanoparticles (ZnO-NPs) for avian pathogenic Escherichia coli (APEC) isolated from poultry market Lahore. MATERIALS AND METHODS: Samples (n = 100) were collected from live bird markets of Lahore, and isolates were confirmed as Escherichia coli (E. coli) using the Remel One fast kit, and APEC was identified using PCR. The antibiotic resistance pattern in APEC was determined using the minimum inhibitory concentration (MIC), followed by genotypic confirmation of antibiotic-resistant genes using the PCR. The CRISPR-Cas system was also identified in multidrug-resistant (MDR) isolates, and its association with antibiotics was determined using qRT-PCR. The potential of ZnO-NPs was evaluated for multidrug-resistant (MDR) isolates by MIC. RESULTS: All isolates of APEC were resistant to nalidixic acid, whereas 95% were resistant to chloramphenicol and 89% were resistant to streptomycin. Nineteen MDR APEC were found in the present study and the CRISPR-Cas system was detected in all of these MDR isolates. In addition, an increased expression of CRISPR-related genes was observed in the standard strain and MDR isolates of APEC. ZnO-NPs inhibited the growth of resistant isolates. CONCLUSIONS: The findings showed the presence of the CRISPR-Cas system in MDR strains of APEC, along with the potential of ZnO-NPs for a possible solution to proceed. This highlights the importance of regulating antimicrobial resistance in poultry to reduce potential health consequences.

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Schistosomiasis is a neglected tropical disease that affects developing countries worldwide and is caused by several species of parasites from the Schistosoma genus. Chronic infection is characterized by the formation of granulomas around the parasite eggs, the leading cause of pathology. The hepatosplenic clinical form is one of the most common, but urogenital schistosomiasis is another relevant clinical presentation responsible for infertility in men and women. Inflammatory response, anatomical deformations, and endocrine/biochemical changes are involved in the development of infertility. Schistosome parasites can synthesize catechol estrogen-like molecules and affect the sexual hormone balance in their host. Here, we review many aspects of the pathology of urogenital schistosomiasis, specifically infertility, and point to the biochemical and endocrinal elements that must be investigated in the future.

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Chemodynamic therapy (CDT), as a new type of therapy, has received more and more attention in the field of tumor therapy in recent years. By virtue of the characteristics of weak acidity and excess H2O2 in the tumor microenvironment, CDT uses the Fenton or Fenton-like reactions to catalyze the transformation of H2O2 into strongly oxidizing ˙OH, resulting in increased intracellular oxidative stress for lipid oxidation, protein inactivation, or DNA damage, and finally inducing apoptosis of cancer cells. In particular, CDT has the advantage of tumor specificity. However, the therapeutic efficacy of CDT frequently depends on the catalytic efficiency of the Fenton reaction, which needs the presence of sufficient H2O2 and catalytic metal ions. Relatively low concentrations of H2O2 and the lack of catalytic metal ions usually limit the final therapeutic effect. The combination of CDT with immunotherapy will be an effective means to improve the therapeutic effect. In this review paper, the recent progress related to nanomedicine for the combination of CDT and immunotherapy is summarized. Immunogenic death of tumor cells, immune checkpoint inhibitors, and stimulator of interferon gene (STING) activation as the main immunotherapy strategies to combine with CDT are discussed. Finally, the challenges and prospects for the clinical translation and future development direction are discussed.

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The expansive potential of surface-enhanced Raman scattering (SERS) has been well-established; however, the primary bottleneck hindering its routine analytical and commercial implementation is the poor signal reproducibility and challenges in substrate fabrication. Thus, the current work attempts to synthesize a scalable and reproducible nanoporous gold (npAu) decorated with gold (Au) nanoparticles to generate a highly structured Au@npAu nanocomposite. The substrate fabrication completes via three distinct routes: i) selective dealloying to form npAu on the Au film, ii) the fast deposition (i-t = -0.8 V, t = 10.0 s) of Au atoms across the npAu surface, and finally iii) the precise growth control of the generated Au@npAu by a series of by oxidation-reduction cycles (-0.03 to -0.4 V for 80.0 segments at ν = 50.0 mVs-1). The simulations of the dealloyed npAu and the final Au@npAu nanocomposite showed that the reduced interparticle spacing and ligament size in the Au@npAu nanocomposite is crucial for forming abundant "hot spot" regions with highly concentrated electromagnetic fields. The Au@npAu substrate reproducibility was assessed on 400.0 sites for SERS spectral acquisition with a relative standard deviation of 9.22 %. Furthermore, the Au@npAu was checked under different preparation batches for intra- and inter-day analysis and storage for 20.0 days with good stability. Finally, the substrate was checked for direct SERS detection of ferbam residues with a 4.34 × 10-9 mol L-1 sensitivity and examined in real samples with satisfactory recoveries (97.63 ± 1.95%-99.16 ± 0.24 %). This work offers a promising avenue towards highly reproducible, scalable and universal Au@npAu SERS substrate fabrication in diverse SERS-related applications.

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Currently, the supply of beta cells for islet transplantation in the treatment of type 1 diabetes is limited. Enteroendocrine cells (EECs) are believed to have high potential as stem cells because they share significant developmental similarities with beta cells. In a previous study, we derived EEC cells that secrete individual gut hormones from STC-1 cells. This study aimed to examine intestinal hormone secretion and expression, investigate the expression of developmental-related transcription factors, and analyze the effect of MEOX on insulin gene expression in isolated EECs. The expression and secretion of enteroendocrine hormones were evaluated in L6 and K34 cells from STC-1 cells. Expression patterns of beta cell- and development-related genes in L6 and K34 cells were compared with beta cells. Comparisons of the MEOX-induced expression of Ins in beta cells and GLP-1-secreting cells were investigated. Both L6 and K34 cells predominantly expressed Glp1 and Gip, respectively. The secretion pattern of GLP-1 in L6 cells was similar to that of GLUTag cells. Previous microarray analysis confirmed MEOX as developmentally relevant transcription factors expressed in beta cells. Overexpression of MEOX showed a tendency to increase Ins expression in L6 and GLUTag cells, but not in MIN6 cells. However, when PDX1 and MEOX were co-expressed in GLUTag cells, insulin expression was suppressed, similar to that observed in MIN6 cells. These findings suggest a potential role for MEOX in regulating the expression of the Ins gene in both beta cells and GLP-1-secreting cells. Further studies are warranted to elucidate the underlying mechanism.

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This study reports OCP and PAH concentrations in the tissues of stranded sea snakes from Sharjah, UAE. Samples from 10 Hydrophis lapemoides, 2 Hydrophis ornatus and 1 Hydrophis curtus were analyzed. Muscle, liver and fat tissues were extracted using micro-QuEChERs, followed by d-SPE and analyzed using GC/MS. Higher concentrations of OCPs were detected, while PAHs were more frequently detected. Significant correlations suggest that OCPs and PAHs do bioaccumulate in the tissues of sea snakes. Additionally, OCPs with lower log Kow (octanol-water partition coefficient) values were mainly detected in the muscle samples of H. lapemoides, whereas OCPs with higher log Kow values were more commonly present in the liver and fat samples. The concentrations of OCPs reported in this study were higher than those previously documented in other marine reptiles in the UAE or sea snakes from different geographical regions.

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Tetrodotoxin (TTX), a lethal neurotoxin, poses a grave threat to human health. The available spectroscopic methods suffer from limitations such as complex procedures and inadequate on-site capabilities. In this study, we proposed a method using Fe3O4@Cu as a catalytic biosensor combined with SERS, colorimetry and image processing for TTX detection. Integrating the aptamer amplifies the specificity of the system and masks the catalytic activity of Fe3O4@Cu. The catalytic efficiency of Fe3O4@Cu in the H2O2-TMB reaction can quantify the concentration of TTX in the system. Consequently, oxidation of TMB (oxTMB) led to the generation and change of signals for SERS, colorimetry and image processing, enabling a three-channel quantitative detection of TTX. Under the optimal conditions, the detection limit of established SERS, colorimetry and image processing were 0.055, 2.127 and 0.243 ng/mL, respectively. This three-channel biosensor was applied to real samples, providing an accurate, stable and adaptable alternative for on-site TTX detection.

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The presence of nodularin-R (NOD-R) in water has gained considerable attention because of its widespread distribution and high toxicity. In this study, an accurate and rapid visible-light-driven self-powered photoelectrochemical (PEC) biosensor was developed by integrating a portable paper-based electrode with a custom-built miniaturized PEC detection device. The newly designed system successfully achieved on-site detection of NOD-R in real water samples based on PEC technology. First, target recognition triggers the initiation of the hybridization chain reaction to generate double-stranded DNA. The thus-formed double-stranded DNA entrapped methylene blue (MB), and the dye molecules were irradiated with visible light for conversion to leuco-MB in the presence of ascorbic acid. The resulting leuco-MB species significantly amplified the PEC signal output of TiO2-MXene, enabling NOD-R detection. Under optimal conditions, the proposed PEC assay strategy demonstrated NOD-R detection within a concentration range from 20 fg mL-1 to 10 ng mL-1 with a detection limit of 19.6 fg mL-1. In addition, a custom-built miniaturized PEC detection device conveniently integrates the detection component with the light source, enabling the real-time collection of results via a wireless module. This innovative self-powered PEC platform provides significant advancements in smooth and intelligent detection compared to traditional PEC detection devices.

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The negative impact of refinery wastewater is of great concern to the aquatic, terrestrial, and aerial environment. In this study, N-hexadecylchitosan (NHDC) was successfully synthesized to deal with low mechanical strength, poor adsorption capacity, and limited selectivity of native chitosan. The NHDC was characterized by fourier-transform infrared spectroscopy (FTIR), scanning electron microscopy (SEM) and X-Ray diffraction analysis (XRD) to study its composition, morphology, and structural attributes. The adsorption of hydrocarbon pollutants from refinery wastewater was studied in batch mode experiments. The results indicated that the removal of COD attained by chitosan and NHDC was 21 and 63%, respectively. COD removal was found to be maximal, i.e., 96% using 0.08 g of NHDC at 60 min in a solution of pH 6.5 maintained at 60 °C. Furthermore, kinetic data revealed that the adsorption system followed pseudo-second order kinetics, whereas equilibrium studies supported both monolayer and multilayer adsorption mechanisms. The designed adsorption platform was able to capture hydrocarbon pollutants under very mild optimized conditions. Furthermore, NHDC demonstrated long term stability when subjected to five successive cycles, which contributed to the sustainability of water treatment systems. On the basis of the outcome of this work, it is advocated that new biobased NHDC can be used as an efficient adsorbent for the remediation of organic contaminants laden wastewater streams generated from oil refineries.

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One of the most fascinating 2D nanomaterials (NMs) ever found is various members of MXene family. Among them, the titanium-based MXenes, with more than 70% of publication-related investigations, are comparatively well studied, producing fundamental foundation for the 2D MXene family members with flexible properties, familiar with a variety of advanced novel technological applications. Nonetheless, there are still more candidates among transitional metals (TMs) that can function as MXene NMs in ways that go well beyond those that are now recognized. Systematized details of the preparations, characteristics, limitations, significant discoveries, and uses of the novel M-based MXenes (M-MXenes), where M stands for non-Ti TMs (M = Sc, V, Cr, Y, Zr, Nb, Mo, Hf, Ta, W, and Lu), are given. The exceptional qualities of the 2D non-Ti MXene outperform standard Ti-MXene in several applications. There is many advancement in top-down as well as bottom-up production of MXenes family members, which allows for exact control of the M-characteristics MXene NMs to contain cutting-edge applications. This study offers a systematic evaluation of existing research, covering everything in producing complex M-MXenes from primary limitations to the characterization and selection of their applications in accordance with their novel features. The development of double metal combinations, extension of additional metal candidates beyond group-(III-VI)B family, and subsequent development of the 2D TM carbide/TMs nitride/TM carbonitrides to 2D metal boride family are also included in this overview. The possibilities and further recommendations for the way of non-Ti MXene NMs are in the synthesis of NMs will discuss in detail in this critical evaluation.

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Bioenergy is predicted to significantly contribute to the global energy needs of both developed and developing economies. Co-pyrolysis of halophytes offers a solution for a sustainable supply of feedstock in coastal and water-scarce regions. This novel research introduces an experimental investigation of co-pyrolysis of saline-tolerant flora (date palm waste and Salicornia bigelovii) to address sustainable waste management, bioenergy production, and efficient resource utilization in xeric regions. To examine the impact of the thermic condition on the pyrolysis products (bio-oil, biochar, and gas), the experiments have been conducted at three different temperatures (400, 500, and 600 °C). This pioneering study revealed that the co-feed bio-oil is acidic (pH 3.76-4.39) and has a high energy content (HHV 32.29-36.29 MJ/kg) that surpasses most woody biomass. The produced biochar was chemically stable, high in ash (40.09-47.62 wt %), high in fixed carbon (30.12-38.12 wt %), highly alkaline (pH 9.37-10.69), and low in HHV (16.30-17.2 MJ/kg). Increased pyrolysis temperature enhances biochar stability and fixed carbon, thus benefiting long-term carbon sequestration if applied in the soil. However, due to its high alkalinity, the application of this biochar in naturally alkaline sandy soils, such as in coastal deserts, requires careful monitoring. The hydrogen content in the gaseous phase significantly improves with rising temperature, reaching HHV = 24.12 MJ/kg at 600 °C, due to the enhanced ash catalytic effect. Overall, this study constitutes an important contribution to advancing bioenergy, sustainable feedstock, carbon capture, and waste management strategies in drought-prone areas.

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The oxidation step in Oolong tea processing significantly influences its final flavor and aroma. In this study, a gas sensors detection system based on 13 metal oxide semiconductors with strong stability and sensitivity to the aroma during the Oolong tea oxidation production is proposed. The gas sensors detection system consists of a gas path, a signal acquisition module, and a signal processing module. The characteristic response signals of the sensor exhibit rapid release of volatile organic compounds (VOCs) such as aldehydes, alcohols, and olefins during oxidative production. Furthermore, principal component analysis (PCA) is used to extract the features of the collected signals. Then, three classical recognition models and two convolutional neural network (CNN) deep learning models were established, including linear discriminant analysis (LDA), k-nearest neighbors (KNN), back-propagation neural network (BP-ANN), LeNet5, and AlexNet. The results indicate that the BP-ANN model achieved optimal recognition performance with a 3-4-1 topology at pc = 3 with accuracy rates for the calibration and prediction of 94.16% and 94.11%, respectively. Therefore, the proposed gas sensors detection system can effectively differentiate between the distinct stages of the Oolong tea oxidation process. This work can improve the stability of Oolong tea products and facilitate the automation of the oxidation process. The detection system is capable of long-term online real-time monitoring of the processing process.

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Tea waste (TW) includes pruned tea tree branches, discarded summer and fall teas, buds and wastes from the tea making process, as well as residues remaining after tea preparation. Effective utilization and proper management of TW is essential to increase the economic value of the tea industry. Through effective utilization of tea waste, products such as activated carbon, biochar, composite membranes, and metal nanoparticle composites can be produced and successfully applied in the fields of fuel production, composting, preservation, and heavy metal adsorption. Comprehensive utilization of tea waste is an effective and sustainable strategy to improve the economic efficiency of the tea industry and can be applied in various fields such as energy production, energy storage and pharmaceuticals. This study reviews recent advances in the strategic utilization of TW, including its processing, conversion technologies and high value products obtained, provides insights into the potential applications of tea waste in the plant, animal and environmental sectors, summarizes the effective applications of tea waste for energy and environmental sustainability, and discusses the effectiveness, variability, advantages and disadvantages of different processing and thermochemical conversion technologies. In addition, the advantages and disadvantages of producing new products from tea wastes and their derivatives are analyzed, and recommendations for future development of high-value products to improve the efficiency and economic value of tea by-products are presented.

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BACKGROUND AND OBJECTIVES: Acute appendicitis is one of the most commonly encountered surgical emergencies on a global level. Due to the requirement of an immediate clinical diagnosis and the presence of limited resources, clinicians and diagnosticians refer to scoring systems to diagnose this condition, among which Alvarado and Tzanakis scoring systems are widely used. This meta-analysis aims to compare the diagnostic accuracy of these two systems. METHODS: We searched PubMed, Google Scholar, and SCOPUS databases. All studies that reported diagnostic parameters of Alvarado and Tzanakis scores in patients with suspected acute appendicitis were selected. Diagnostic values such as sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and diagnostic accuracy were extracted from the selected studies and statistical analysis was performed with Meta Disc 1.4 software. Quality assessment of the selected studies was performed using the QUADAS-2 and QUADAS-C tools. Fourteen studies were included in our meta-analysis which enrolled 2235 patients. RESULTS: The overall sensitivity of the Tzanakis score was calculated as 0.86 (95% CI; 0.84-00.87) while the specificity was 0.73 (95% CI; 0.69-0.78). In addition, the area under the curve (AUC) was 0.9261 (SE; 0.0169) and the diagnostic Odds Ratio (OR) was 22.52 (95% CI; 9.47-53.56). The pooled sensitivity of Alvarado score was 0.67 (95% CI; 0.65-0.69) and the specificity was 0.74 (95% CI; 0.69-0.79). Moreover, the area under the curve (AUC) of the Alvarado score was 0.7389 (SE; 0.0489) and the diagnostic Odds Ratio was 4.92 (95% CI; 2.48-9.75). INTERPRETATION AND CONCLUSION: The Tzanakis scoring system has a higher sensitivity, area under the curve, and diagnostic odds ratio when compared to the Alvarado score. However, the Alvarado score has a marginally better specificity making it more reliable in excluding acute appendicitis.

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Fat embolism syndrome (FES) is a rare but serious multisystem syndrome that occurs after 0.9% to 2.2% of fractures, with long bone and pelvic fractures being the most common. The classic triad of FES consists of neurological impairment, respiratory insufficiency, and petechial rash, which develops 12-72 hours after the initial incident. We hereby present a case of a patient who developed persistent altered consciousness, seizures, and hypoxia secondary to a comminuted sacral fracture. Although the patient could not survive owing to multiple factors, imaging played a pivotal role in expediting the diagnostic process and aiding early management.

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Chronic kidney disease (CKD) is a global health issue of growing concern. According to projections from the Worldwide Health Observatory, it is currently one of the rapidly increasing contributors to global mortality. The prevalence of CKD and end-stage renal disease (ESRD) is increasing globally. The objective was to evaluate the prevalence and impact of clinical pharmacist intervention in resolving drug-related problems (DRPs) among patients with CKD. A single-arm, pre- and post-intervention study design was used, which was assessed to be suitable in testing for the feasibility of the implementation of an intervention in clinical practice. With this study pre- and post-intervention variables of interest were measured before and after an intervention in the same patients to evaluate the impact of clinical pharmacists on ambulatory patients with CKD. The findings of this study indicate a high prevalence of DRPs, with every patient experiencing at least one DRP. The mean DRP per patient was found to be 2.903 with STD ± 1.148. The study assessed the considerable influence of clinical pharmacist intervention on DRPs. The predominant form of DRP was drug interaction 167 (45.1%) which was reduced to 76 (20.5%) after intervention carried out by clinical pharmacists statistically significant (p = 0.032). Another common DRP was found to be poor compliance issues in pre-interventions (n = 144 (38.9%)) and was reduced to 80 (21.6%) at post-intervention significantly (p = 0.042). Untreated indications were noticed in 137 cases (37.0%), after pharmacist intervention, this number was significantly reduced to 27 cases (7.3%), with a statistically significant difference (p = 0.004). However, it is noteworthy that medication compliance among patients in our study was unsatisfactory and fell below expectations. As a clinical pharmacist played an important role in reducing the prevalence of poor medication adherence to lower levels in these CKD outpatients. This research emphasizes the vital role of clinical pharmacists in mitigating DRPs among CKD patients, resulting in improved medication management and potentially better health outcomes.

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Benzo(b)fluoranthene (BbF), a polycyclic aromatic hydrocarbon (PAH), is a carcinogenic contaminant of concern in seafood. This study developed a simple, rapid, sensitive, and cost-effective surface-enhanced Raman scattering (SERS) sensor (AuNPs) coupled with chemometric models for detecting BbF in shrimp samples. Partial least squares (PLS) regression models were optimized using uninformative variable elimination (UVE), bootstrapping soft shrinkage (BOSS), and competitive adaptive reweighted sampling (CARS). Qualitative analysis was performed using principal component analysis (PCA), linear discriminant analysis (LDA), and k-nearest neighbors (KNN) to differentiate between BbF-contaminated and uncontaminated shrimp samples. The SERS-sensor exhibited excellent sensitivity (LOD = 0.12 ng/mL), repeatability (RSD = 6.21%), and anti-interference performance. CARS-PLS model demonstrated superior predictive ability (R2 = 0.9944), and qualitative analysis discriminated between contaminated and uncontaminated samples. The sensor's accuracy was validated using HPLC, demonstrating the ability of the SERS-sensor coupled with chemometrics to rapidly and reliably detect BbF in shrimp samples.

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