Analytical Parameters Research Articles

Argentine Malbec market: comparative study of general chemical parameters and sensory properties within low, medium and high price segments

Malbec, Argentina's emblematic wine, is appreciated worldwide for its unique characteristics and distinctive organoleptic profile. As demand for Malbec wines increases locally in Argentina and international markets, there is a need to better understand the relationship between the price of these wines and their chemical and sensory characteristics. The aim of this study was to describe and quantify the sensory attributes and chemical parameters (in particular, phenolics) of Argentinean Malbec wines of different price segments. In order to observe the differences between each price range, the eight best-selling wines from the low, medium, and high price categories were analysed. Wine general analytical parameters and phenolics composition were determined and a descriptive analysis was performed with a trained panel. The results show that it was only possible to differentiate between the high- and low-price ranges. Both ranges exhibited variability, including different types of wines. Significant differences were identified in several parameters, such as O.D.280, titratable acidity, malic acid, volatile acidity, alcohol, glucose and total sugars. There were also significant differences in anthocyanins, LPP, SPP, TPP and tannins. The high-price range was characterised by higher alcohol content, greater polyphenol concentration and greater colour intensity. Sensorially, they were distinguished by the descriptors wood, astringency and colour. The low-price range was associated with low colour intensity and higher total sugar content. This is the first study to clearly establish the sensory differences among different price ranges of Argentine wines. Our study demonstrated that wine pricing is not determined in a subjective or arbitrary manner; rather, wines produced for a specific segment are intentionally designed to achieve the desired sensory and chemical characteristics.

Changing Forms of Ownership in a Democratic Corporatist Media System — How Digitalization Leads to Less Transparency and the Risk of Media Capture

Digitalization has led to a crisis in news media and an upheaval in media ownership. A research concern has been that the motives driving media owners will shift from financial and public service to overtly political and ideological. The term “media capture” has been suggested to describe how various interests may take control over news media outlets. This paper adds to the study of digitalization and media ownership in three ways. First, our analysis is based on new analytical parameters developed as part of the Euromedia Ownership Monitor. Second, we compare types of ownership across legacy news media and digital news media, as each media type runs a different risk regarding capture. Third, we focus on ownership transparency, especially that of beneficial owners. Our case study is Denmark, which is part of the democratic corporatist media system and, based on international ratings, is one of the most democratic and transparent media systems in Europe. We find that private legacy news media is mostly owned by nonprofit foundations, while legacy public service news media is owned by the State or is listed as self-owned. Regarding new digital news media, we find different ownership forms. However, only new digital news media have ownership by a sole proprietor. Regarding transparency, we find the transparency of direct and beneficial owners is more accessible in legacy news media than in new, digital news media. We find no tradition for publishing “natural persons” possible affiliations to either political or other commercial interests. This seems especially relevant, as new digital news media outlets, unlike legacy media, sometimes are owned and funded by private investors, whose main business interests lie outside the news media and whose motives for owning a news media may differ from traditional ownership thus leading to a risk of media capture by ownership.

Possibilities and limitations of computer assisted chiral HPLC method development for ozanimod on polysaccharide based chiral stationary phases.

In this study, a direct HPLC method was developed to determine the enantiomeric purity of the immunomodulatory drug, ozanimod. A systematic method development process was followed, incorporating risk assessment, identification of critical analytical procedure parameters, initial screening of stationary phases, and software-assisted optimization of method parameters. Eight different polysaccharide-based chiral columns were selected to assess chiral separation of enantiomers under polar organic elution mode. The most promising results were obtained using a methanol:2-propanol mixture on the amylose-based Chiralpak AD column. Following this, systematic modeling was conducted using DryLab software to optimize method conditions, including isocratic eluent composition, temperature, and flow rate. Baseline separation was achieved within fifteen minutes using the optimized parameters: Chiralpak AD column thermostated at 10°C, and a mobile phase of methanol:2-propanol: diethylamine, 70:30:0.1 (v/v/v %), delivered at a flow rate of 0.8 mL/min. The developed method was validated according to current guidelines and in silico robustness testing was conducted to determine tolerance limits for critical separation parameters and their impact on enantioresolution. Our findings demonstrate the utility of DryLab, typically employed for reversed-phase achiral separations, in optimizing chiral methods even in polar organic mode. Limitations of the selected approach the development of chiral separation methods are also highlighted.

Students’ performance in clinical class II composite restorations: a case study using analytic rubrics

BackgroundThe analytical rubric serves as a permanent reference for guidelines on clinical performance for undergraduate dental students. This study aims to assess the rubric system used to evaluate clinical class II composite restorations performed by undergraduate dental students and to explore the impact of gender on overall student performance across two academic years. Additionally, we investigated the relationship between cumulative grade point averages (CGPAs) and students’ clinical performance.MethodsAn analytical rubric for the assessment of clinical class II composite restoration in the academic years of 2022/2023 and 2023/2024 was used by two evaluators. These two evaluators were trained to use the rubric before doing the evaluations. The scores were based on a 4-point scale for the evaluation of five major parameters for pre-operative procedures (10 points), cavity preparation (20 points), restoration procedures (20 points), and time management (4 points). At the same time, chairside oral exam parameter was 15 points based on a 5-point scale. Descriptive statistics were calculated for the different analytical rubric parameters, and the independent t-test was used to compare the scores between the student groups and the evaluators. Other tests, such as the Kappa test and Pearson’s correlation coefficient, were used to measure the association among CGPA, evaluators, and gender participants.ResultsThe overall score out of 69 slightly increased for females/males (61.28/59.42) and (61.18/59.49) in the 2022/2023 and 2023/2024 academic years, respectively, but the differences were not statistically significant. In the 2022/2023 academic year, female students scored significantly higher than male students in pre-operative procedures, as evaluated by both evaluators (p = 0.001), and in time management, as assessed by both evaluators (p = 0.031). The Kappa test demonstrated a moderate to substantial level of agreement between the two evaluators in both academic years. Strong and significant correlations were noted between students’ CGPA and some tested parameters (p = 0.000).ConclusionThe overall performance was very good and high among both genders, but it was marginally higher among females than among males. This study found some differences in performance between male and female students and variability in the evaluations by the two raters ranging from moderate to substantial agreement and similar performances for students with different CGPA.

Metal–Organic Framework-Derived CeO2/Gold Nanospheres in a Highly Sensitive Electrochemical Sensor for Uric Acid Quantification in Milk

In this work, CeBTC (a cerium(III) 1,3,5-benzene-tricarboxylate), was used as a precursor for obtaining CeO2 nanoparticles (nanoceria) with better sensor performances than CeO2 nanoparticles synthesized by the solvothermal method. Metal–organic framework-derived nanoceria (MOFdNC) were functionalized with spheric gold nanoparticles (AuNPs) to further improve non-enzymatic electrode material for highly sensitive detection of prominent biocompound uric acid (UA) at this modified carbon paste electrode (MOFdNC/AuNPs&CPE). X-ray powder diffraction (XRPD) and transmission electron microscopy (TEM) analysis were used for morphological structure characterization of the obtained nanostructures. Cyclic voltammetry and electrochemical impedance spectroscopy, both in an [Fe(CN)6]3−/4− redox system and uric acid standard solutions, were used for the characterization of material electrocatalytic performances, the selection of optimal electrode modifier, and the estimation of nature and kinetic parameters of the electrode process. Square-wave voltammetry (SWV) was chosen, and the optimal parameters of technique and experimental conditions were established for determining uric acid over MOFdNC/AuNPs&CPE. Together with the development of the sensor, the detection procedure was optimized with the following analytical parameters: linear operating ranges of 0.05 to 1 µM and 1 to 50 µM and a detection limit of 0.011 µM, with outstanding repeatability, reproducibility, and stability of the sensor surface. Anti-interference experiments yielded a stable and nearly unchanged current response with negligible or no change in peak potential. After minor sample pretreatment, the proposed electrode was successfully applied for the quantification of UA in milk.

Synthesis, crystal structure and exploration of N,N'-(ethane-1,2-diyl)bis(4-acetylbenzenesulfonamide) (EDBABS) fabricated glassy carbon electrode as highly sensitive barium (Ba2+) sensor: An electrochemical approach

Environmental pollution spurred by dint of noxious chemicals and heavy metals has popped up as a pressing threat for present day community. In this study, we synthesized the N,N'-(ethane 1,2-diyl)bis(4-acetylbenzene-1-sulfonamide) (EDBABS) and N,N'-(cyclohexane-1,2-diyl)bis(4-acetylbenzenesulfonamide) (CDBABS) as bidentate chelating agents with the intention to detect the heavy metal cations in water systems. Conventional spectroscopic techniques such as UV-Vis spectroscopy, Fourier transform-infra red (FT-IR) spectroscopy, 1H-NMR and 13C-NMR in addition to single crystal X-ray diffraction studies were performed to expound structural characterization data of these newly synthesized non-reported bidentate chelating agents. After Characterization, a novel electrochemical current – potential (I-V) approach based on their modified GCEs was applied to detect the toxic cations in water systems. For this purpose, Keithley electrometer was employed as a constant voltage source. On the trail of fabricating an efficient as well as selective electrochemical sensor, for the detection of heavy metal cations in phosphate buffer system of pH = 7.0, EDBABS and CDBABS coupled with nafion as adhesive conducting binder were coated separately onto the Glassy Carbon Electrodes (GCEs). it was delineated that newly designed EDBABS/Nafion/GCE induced a high current response for Ba2+ cations in the presence of other interfering heavy metal cations (Y3+, Sn2+, Sb3+, Mn2+, Hg2+, Cr3+, As3+ and Ag+) than CDBABS/Nafion/GCE and found to be selective and sensitive towards Ba2+ cations, predominantly contributing towards environmental pollution. In order to optimize this newly designed EDBABS/Nafion/GCE as selective electrochemical Ba2+ cationic sensor, different analytical parameters such as sensitivity, limit of detection (LOD) at S/N of 3, limit of quantification (LOQ), and linear dynamic range (LDR) turned out to be satisfactory towards Ba2+ cations. The calibration curve emerged to be linear with a broad concentration range of Ba2+ cations from 0.1 nM to 0.01M and sensitivity was estimated as 3.481 × 10−3µAµM−1cm−2 in addition to (r2) as 0.9834, limit of detection (LOD) as 0.027nM (at S/N=3) and limit of quantification (LOQ) as 0.091nM. Within the realm of extensive environmental protection and public health care field, this work inducts a reliable and effective way for the fabrication of sensitive as well as selective cationic electrochemical sensors based on chelating agents which can be launched as an advanced approach for quick probing of heavy metal cations in water systems, reliably and effectively.

Modulation of ZrO2-Ag2O-MoO3 nanocomposite into ultrasensitive hydrazine electrochemical sensor for environmental remediation

Herein, a facile single-step wet chemical approach was executed for the composition of semiconductor ternary metal oxides (TMO) i.e., ZrO2-Ag2O-MoO3 nanocomposite (NC)in an alkaline medium. For structural as well as morphological elucidation, the calcined nanocomposite was characterized through ultraviolet–visible diffuse reflectance spectroscopy (UV–Vis DRS), Fourier-transform infrared spectroscopy (FTIR), X-ray photoelectron spectroscopy (XPS), powdered X-ray diffraction (XRD), field emission scanning electron microscopy (FESEM), energy-dispersive X-ray spectroscopy (EDS) and Brunauer-Emmett-Teller (BET) analysis. Later, the glassy carbon electrode (GCE) was modified into a highly responsive as well as selective hydrazine (HDZN) electrochemical probe (ZrO2-Ag2O-MoO3-NC/PEDOT:PSS/GCE) by the fabrication of thin layered ZrO2-Ag2O-MoO3NC onto GCE facilitated by 5 % PEDOT:PSS as conducting polymer binder. While examining the analytical parameters through novel current–potential (I-V) electrochemical approach, for the first time, the newly designed electrochemical probe, as selective hydrazine sensor, happened to own the low detection limit (LOD; 0.028 pM) with greater sensitivity (33.86 μAμM−1cm−2) and broad linear dynamic range (LDR; 0.1 M–1.0 nM) in addition to coefficient of correlation (r)/r2 square (r = 0.9941, r2 = 0.9882) and low limit of quantification (LOQ; 0.093 pM).Furthermore, reproducibility as well as prolonged stability of this newly proposed probe towards hydrazine were also assessed and found to be reliable in short response time. Hence, this work presents an inaugural report about the sensing of HDZN through the newly designed non reported ZrO2-Ag2O-MoO3-NC/PEDOT:PSS/GCE via an economical as well as novel electrochemical, current–potential (I-V),approach. Additionally, this proposed method is equally responsive towards both environmental and extracted real samples analysis on large scale.

Determining factor of enzyme conjugates, bridge heterology and analytical variables of immunogens in prednisolone ELISA

In this study, adipic acid dihydrazide (ADH), carbohydrazide (CH), ethylenediamine (EDA), and urea (U) were used as spacer molecules, covalently linking prednisolone (PSL) to carrier proteins for immunogen preparation, and PSL to enzymes for enzyme conjugate preparation using N-hydroxysuccinimide (NHS)-mediated carbodiimide reactions. The resulting immunogens were used to generate antiserum in New Zealand white rabbits. Antibodies produced against immunogens with various spacers were tested for immunoreactivity with enzyme conjugates, both with and without spacers, in a total of twenty different combinations. All combinations demonstrated binding and were subsequently evaluated through displacement studies. Sensitivity and specificity tests revealed that the combination of PSL-21-HS-U-BSA-antibody with PSL-21-HS-HRP enzyme conjugate exhibited the best sensitivity (0.032 ng/mL) and limited cross-reactivity with other steroids. This combination was further examined for analytical parameters, showing recovery rates of 93.87–101.19 % for PSL from spiked human serum samples, with intra- and inter-assay CVs of <8.88 %. The serum PSL values obtained by this method showed strong correlation with a commercially available ELISA kit (r2 = 0.97, n = 78).

Changes in echocardiographic and analytical parameters after iron replacement in stable heart failure patients. FER-STRAIN study

Abstract Background Iron deficiency replacement with intravenous ferric carboxymaltose (FCM) has demonstrated to improve clinical and prognostic parameters in patients with heart failure with reduced left ventricular ejection fraction (HFrEF). Improvement of myocardial contractility is proposed as possible hypothesis and strain could behave as an early and high sensitive parameter to assess this improvement in myocardial deformation due to increased iron availability after replacement of iron deficiency. Purpose Evaluate the effect of iron deficiency replacement with FCM in the strain of both ventricles in patients with stable HFrEF. Methods We performed an observational, analytical, longitudinal and prospective study that included 73 patients with stable HFrEF who presented iron deficiency without anemia defined as serum ferritin &amp;lt;100 ug/L or between 100 and 300 ug/L if the transferrin saturation was &amp;lt;20%. They were randomized 2:1 to iron replacement with FCM or control group. A central core lab, blinded to the treatment/control groups performed 3D echocardiograms and strain analysis. Analytical parameters and biomarkers were determined basal and four weeks after the randomization. Results Mean age of the study population was 70 years old, 77% were male, 75% had high blood pressure, 70% dyslipidemia and 41% diabetes. Of the total, 51 patients were assigned to the replacement group and 22 patients to the control group. Mean left ventricular ejection fraction (LVEF) was 33%, without basal differences between both groups. Four weeks after the randomization, a significant improvement of LVEF of 2.47±2.32% (p=0.018) was observed in the replacement group, as well as in the left ventricle global longitudinal strain (LV-GLS) of -0.96±2.08% (p=0.006). In blood tests, a significant improvement of ferritin (130.9±111.98mg/L, p&amp;lt;0.000), hemoglobin (0.3±0.7g/dL, p=0.027) and medium corpuscular volume (1.7±2.16fL, p=0.005), and also an increase of the biomarker myeloperoxidase (40.16±138.36pmol/L, p=0.02) were detected in the treatment group. Nevertheless, these changes were not observed in the control group. Conclusions In patients with stable HFrEF replacement of iron deficiency with FCM is associated with an improvement of myocardial contractility, of LVEF measured by 3D and LV-GLS.Variation of parametersLV-GLS before and after FCM

Synthetic Cathinones' Comprehensive Screening and Classification by Voltammetric and Chemometric Analyses: A Powerful Method for On-Site Forensic Applications.

The use of synthetic cathinones (SCs) has increased in recent years, posing significant public health problems due to their adverse effects and potential for fatal poisonings. The structural diversity and rapid emergence of new SC analogues create challenges for law enforcement and drug screening techniques. This work presents for the first time the electrochemical detection of SCs using differential pulse voltammetry (DPV) on a boron-doped diamond electrode (BDDE). We analyzed 15 SCs, including well-known compounds such as mephedrone, methylone, and ephylone, revealing distinct electrochemical profiles with two characteristic reduction peaks (R1 and R2). The method was optimized in Britton-Robinson buffer (0.1 mol L-1, pH 8.0) and demonstrated a high selectivity and sensitivity. Multivariate statistical methods, including principal component analysis and hierarchical cluster analysis, classified SCs into six distinct groups. The DPV optimization and analytical parameter determination, including the limit of detection (LOD), were performed for the least electroactive SC, 4'-methyl-α-pyrrolidinohexanophenone, yielding an LOD of 3.8 μmol L-1, suitable for screening street samples. Interference studies with common illicit drugs and adulterants confirmed the selectivity of the DPV-BDDE method. Preliminary identification of SCs in 46 real seized samples was successfully performed using this method with results validated by liquid chromatography-mass spectrometry (LC-MS). The method also identified three SCs not included in the original set: bupropion, benzylone, and dipentylone. The DPV-BDDE method offers a rapid, robust, and portable approach for the selective screening of SCs in forensic applications, demonstrating significant advantages over traditional colorimetric tests.

Decolonial Critical Bioethics and Access to Treatment for Hemophilia in the Americas

Over the past two decades, the integration of sociology with the analytical and normative practices of bioethics has become firmly established. This integration has given rise to two similar yet distinct conceptions of bioethics: empirical bioethics, which utilizes social sciences to enhance ethical scrutiny, and critical bioethics, which not only employs research methods but also draws from established social theories. Critical bioethics aims to overcome the decontextualized analyses inherent in the concept of applied ethics, which relies solely on moral philosophy. This epistemic deepening enables a comprehensible evaluation of the impacts of biotechnologies’ production and distribution within their social and global contexts, ultimately leading to more robust normative frameworks. This article presents the conceptual framework of a model of critical bioethics that we term “decolonial”, developed through the synthesis of the Frankfurt School and decolonial studies. To illustrate the relevance of its analytical parameters, we will examine to clotting factor concentrates in countries across the Americas.

Fractal Strategy for Improving Characterization of N2 Adsorption–Desorption in Mesopores

The current studies primarily analyze the heterogeneity and complexity of mesopore structures based on low-temperature nitrogen (N2) adsorption curves and the Frenkel–Halsey–Hill (FHH) fractal model. However, these studies ignore the fact that the low-temperature N2 desorption curve can also reflect the desorption performance of the mesopore structure. In this research, novel fractal indicators for characterizing the adsorption–desorption performance of mesopores based on the fractal dimension from the N2 adsorption curves and N2 desorption curves are proposed. The novel fractal indicators I1 and I2 are applied to evaluate the adsorption–desorption performance of mesopores with pore size 2–5 nm and pore size 5–50 nm, respectively. The fractal indicator I1 shows an increasing trend with coalification, reflecting that the gas adsorption performance of 2–5 nm mesopores is enhanced with coalification. The fractal indicator I2 exhibits a trend of first increasing and then decreasing with coalification, indicating the gas desorption performance of mesopores with pore size 5–50 nm decreases first and then increases. The proposed indicators provide novel analytical parameters for further understanding the gas adsorption–desorption mechanism of porous coal-based or carbon-based materials.

Simultaneous analysis of several plasticizer classes in different matrices by on-line turbulent flow chromatography-LC-MS/MS.

The development of methodologies for the determination of plasticizers is essential for assessing the environmental and human impact resulting from the use of plastics. A fast analytical method with on-line purification based on turbulent flow chromatography (TFC) coupled to tandem mass spectrometry (MS-MS) has been developed for the analysis of ten phthalates, four alternative plasticizers (including adipates and citrates), and 20 organophosphate esters (OPEs). The method has been validated for the determination of plasticizers across different matrices. Analytical parameters showed acceptable recoveries ranging between 50 and 125%, RSDs lower than 20%, and mLODs of 0.001-2.08ngg-1 wet weight (ww), 0.002-0.30ngg-1, and 0.001-0.93ngm-3 for foodstuffs, face masks, and ambient air, respectively. These methodologies were applied to foodstuff samples purchased in grocery stores, reusable and self-filtering masks, and indoor air measured in different locations. Plasticizers were detected in all the analyzed samples, with values up to 22.0μgg-1 ww, 6.78μgg-1, and 572ngm-3 for foodstuffs, face masks, and indoor air, respectively. The contribution of each family to the total plasticizer content varied between 1.3 and 87%, 0.5 and 98%, and 0.5 and 65% for phthalates, alternative plasticizers, and OPEs, respectively. These findings highlighted the need for analytical methodologies capable of simultaneously assessing a wide number of plasticizers with minimal extractionsteps. This capability is crucial in order to obtain more conclusive insights into the impact of these pollutants on both the environment and human health, arising from different sources of exposure such as foodstuffs, plastic materials, and atmospheric air.

Effect of a Physical Exercise Intervention on Physical Function Parameters and Blood Analytical Changes in Lung Cancer Survivors: A Feasibility Study.

Background: Lung cancer carries a high burden of systemic symptoms, including in survivors, leading to a reduced quality of life (QoL). We assessed whether a 12-week multicomponent supervised exercise programme, including muscular strength and aerobic training, was beneficial in patients who had undergone surgery for early non-small cell lung cancer (NSCLC) in terms of physical performance, QoL, and metabolic and nutritional analytical parameters. Methods: Physical performance was measured by gait speed, handgrip strength, 30 s sit-to-stand (30s-STS) test repetitions, distance covered in the 6 min walk test (6MWT), and the Short Physical Performance Battery (SPPB) score. QoL was assessed with the EORTC-QLQ-C30 questionnaire. Blood glucose, cholesterol, triglycerides, total proteins, albumin, pre-albumin, creatinine, c-reactive protein, insulin-growth factor 1 (IGF-1), and the haemoglobin and hematocrit percentages were measured before and after the intervention in order to observe any beneficial effects related to metabolic markers. Results: After the intervention, the mean scores for the 6MWT (p < 0.001), STS (p < 0.001), 6MWT (p < 0.01), and SPPB (p < 0.01) had significantly improved. However, handgrip strength and nutritional analytical were unchanged. The EORTC-QLQ-C30 functions and symptoms significantly improved after the intervention (p < 0.05 and p < 0.01, respectively). A significant decrease in cholesterol, triglycerides, and IGF-1 and a significant increase in pre-albumin in blood was also observed post-intervention (p < 0.05). Conclusions: This supervised, community-based 12-week multicomponent was feasible (adherence rate 70.35%) and provided benefits not only to physical performance but also to the quality of life of patients with NSCLC.

The e-MANTIS emulator: Fast and accurate predictions of the halo mass function in f(R)CDM and wCDM cosmologies

In this work, we present a novel emulator of the halo mass function (HMF), which we implemented in the framework of the e-MANTIS emulator of $f(R)$ gravity models. We also extended e-MANTIS to cover a larger cosmological parameter space and to include models of dark energy with a constant equation of state $w$CDM. We used a Latin hypercube sampling of the $w$CDM and $f(R)$CDM cosmological parameter spaces, over a wide range, and carried out a large suite of more than $10000$ $N$-body simulations with a different volume, mass resolution, and random phase for the initial conditions. For each simulation in the suite, we generated halo catalogues using the friends-of-friends (FoF) halo finder, as well as the spherical overdensity (SO) algorithm for different overdensity thresholds (200, 500, and 1000 times the critical density). We decomposed the corresponding HMFs on a B-spline basis, while adopting a minimal set of assumptions on their shape. We used this decomposition to train an emulator based on Gaussian processes. The resulting emulator is able to predict the HMF for redshifts $ 1.5$ and for halo masses $M_h M_ The typical HMF errors for SO haloes with $ c $ at $z=0$ in $w$CDM (respectively $f(R)$CDM) are of the order of $ up to a transition mass $M_t M_ ($M_t M_ For larger masses, the errors are dominated by the shot noise and scale as $ with $ up to $M_h M_ Independently of this general trend, the emulator is able to provide an estimation of its own error as a function of the cosmological parameters, halo mass, and redshift. We have performed an extensive comparison against analytical parametrizations and shown that e-MANTIS is able to better capture the cosmological dependence of the HMF, while being complementary to other existing emulators. The e-MANTIS emulator, which is publicly available, can be used to obtain fast and accurate predictions of the HMF in the $f(R)$CDM and $w$CDM non-standard cosmological models. As such, it represents a useful theoretical tool to constrain the nature of dark energy using data from galaxy cluster surveys.

Potentiometric Electronic Tongue for the Evaluation of Multiple-Unit Pellet Sprinkle Formulations of Rosuvastatin Calcium.

Sprinkle formulations represent an interesting genre of medicinal products. A frequent problem, however, is the need to mask the unpleasant taste of these drug substances. In the present work, we propose the use of a novel sensor array based on solid-state ion-selective electrodes to evaluate the taste-masking efficiency of rosuvastatin (ROS) sprinkle formulations. Eight Multiple Unit Pellet Systems (MUPSs) were analyzed at two different doses (API_50) and (API_10), as well as pure Active Pharmaceutical Ingredient (API) as a bitter standard. Calcium phosphate-based starter pellets were coated with the mixture containing rosuvastatin. Some of them were additionally coated with hydroxypropyl methylcellulose, which was intended to separate the bitter substance and prevent it from coming into contact with the taste buds. The sensor array consisted of 16 prepared sensors with a polymer membrane that had a different selectivity towards rosuvastatin calcium. The main analytical parameters (sensitivity, selectivity, response time, pH dependence of potential, drift of potential, lifetime) of the constructed ion-selective electrodes sensitive for rosuvastatin were determined. The signals from the sensors array recorded during the experiments were processed using Principal Component Analysis (PCA). The results obtained, i.e., the chemical images of the pharmaceutical samples, indicated that the electronic tongue composed of the developed solid-state electrodes provided respective attributes as sensor signals, enabling both of various kinds of ROS pellets to be distinguished and their similarity to ROS bitterness standards to be tested.

Enzymatic and Enzyme‐Free Electrochemical Lactate Sensors: A Review of the Recent Developments

ABSTRACTLactate is a useful analytical indicator in various fields. The lactate monitoring benefits from evaluating the body's condition, as excessive muscle use or fatigue can result in injury. Further, it is useful for alerting to emergencies like haemorrhage, hypoxia, respiratory distress, and sepsis. Additionally, the determination of the food's lactate level is very important in examining freshness, storage stability, and fermentation degree. Given such benefits, the determination of lactate in various samples has been widely explored, especially using electrochemical sensor technology. Despite enzymatic sensors being the focus of numerous studies, enzyme‐free platforms have gained focus over the last few years to address the matter of enzyme stability. This review article respectfully offers an overview of the concepts, applications, and recent advances of electrochemical lactate detection platforms. A comparison of hot research for enzymatic and enzyme‐free lactate sensors in terms of electrode surface engineering, enzymes and their immobilisation matrices, and several analytical parameters, including linear dynamic range, the limit of detection, sensitivity, and stability, have been discussed. In addition, future perspectives have been highlighted in this review.

Development and Validation of HSPiP- and Optimization-Assisted Method to Analyze Tolterodine Tartrate in Pharmacokinetic Study

A new approach was applied for the development of a precise, simple, and economic analytical process for the accurate analysis of tolterodine tartrate (TOT) in its bulk and tablet using HSPiP- and quality by design (QbD)-assisted methods. The HSPiP program predicted several solvents and their right ratios for the mobile phase, followed by simulating the experimental solubility data in various predicted solvents. QbD was used to identify the impact of the composition and the mobile phase flow rate on the peak area and retention time. TOT was estimated using an Agilent TC C18 column employing an optimized mobile phase. The HSPiP shortened the solvent selection time with high reliability, whereas QbD identified critical factors. The optimized composition and process variables were used to develop an analytical method for TOT estimation. Various analytical validation parameters were estimated with constructed linearity of 5–30 μg/mL and a percent recovery yield value of 100.36%. To ensure the reliability of the optimized method, we estimated validation parameters (linearity, specificity, precision, accuracy, robustness, and ruggedness) to comply with the ICH guidelines. Considering the high recovery yield, good regression coefficient, low detection limit, and low noise ratio, the optimized method was accurate and precise with a high degree of specificity, rapid process, and reproducibility for the quantitative estimation of tolterodine from both oral analytes (I and II). The validated method was implemented for pharmacokinetic study in rats for quantitative estimation of the analytes with high accuracy, sensitivity, and reproducibility.

Coffee Biomass-Based Carbon Material for the Electrochemical Determination of Antidepressant in Synthetic Urine

Escitalopram (ESC) is commonly prescribed as an antidepressant to enhance serotonin levels in the brain, effectively addressing conditions such as depression and anxiety. The COVID-19 pandemic, along with ongoing mental health crises, has exacerbated the prevalence of these disorders, largely due to factors such as social isolation, fear of the virus, and financial difficulties. This study presents the enhancement of a glassy carbon electrode (GC) through the incorporation of hydrochar (HDC) derived from spent coffee grounds and copper nanoparticles (CuNPs) for the detection of ESC in synthetic urine. Characterization of the nanocomposite was conducted using scanning electron microscopy (SEM), energy-dispersive spectroscopy (EDS), and cyclic voltammetry (CV). The analytical parameters were systematically optimized, and a sensing platform was utilized for the quantification of ESC via square-wave voltammetry (SWV). The established linear range was found to be between 1.0 µmol L−1 and 50.0 µmol L−1, with a limit of detection (LOD) of 0.23 µmol L−1. Finally, an electrochemical sensor was employed to measure ESC levels in synthetic urine, yielding recovery rates ranging from 91.7% to 94.3%. Consequently, the HDC-CuNPs composite emerged as a promising, sustainable, and cost-effective alternative for electroanalytical applications.

Electrolyte impact on supercapacitors made off Ni2O3-Ni2S3 decorating graphitic carbon nitride

Utilizing the hydrothermal method, we have successfully synthesized a promising composite material by adorning Ni2O3-Ni2S3 onto graphitic carbon nitride (G-C3N4). This composite’s structural and morphological characteristics were thoroughly examined through various analytical parameters. SEM and TEM images depict the incorporation of Ni2O3-Ni2S3 onto the 2D sheets of G-C3N4. Employing this nanocomposite, we have fabricated a supercapacitor with symmetric electrodes. Whatman filter paper, saturated with different electrolytes—HCl, Na2SO4, and KOH—was the separator between the electrodes. A series of tests were conducted to assess the electrical performance of the supercapacitor, including charge/discharge cycles, cyclic voltammetry, impedance, and lifetime measurements. At a current density of 0.3 A g−1, distinct charge and discharge times were observed for each electrolyte: 790 s for HCl, 140 s for Na2SO4, and 358 s for KOH. The supercapacitor’s energy density (E) varied depending on the electrolyte employed. Similarly, HCl achieved optimal performance, yielding the E value of 84.8 W.h.kg-1. Conversely, Na2SO4 showed reduced values at 9.5 W.h.kg−1, while KOH had the lowest values at 5.5 W.h.kg−1. The results unmistakably establish that the supercapacitor’s performance adheres to the HCl > Na2SO4 > KOH sequence concerning the electrolytes used. Looking ahead, our team aims to advance toward developing a prototype for a supercapacitor, positioning it as a viable alternative to traditional batteries in energy storage applications.