Search Results (226)

Palm-leaf manuscripts (PLMs) represent a significant component of cultural heritage as a medium for information recording. However, the inherent fragility of these organic materials presents a major challenge for their long-term preservation. Therefore, enhancing the durability of PLMs to ensure longevity has become a critical issue in conservation research. This study includes an examination of the potential of two polymers, cationic polyacrylamide (CPAM) and chitosan quaternary ammonium salt (CQAS), for PLM encapsulation. The encapsulation effects of these materials were assessed through artificial moist heat-accelerated aging tests, enabling a comprehensive evaluation of structural and mechanical properties at both the macroscopic and microscopic levels. The results indicated that CPAM provided superior performance in terms of gloss, color stability, hydrophobicity, pH value, and tensile properties, whereas CQAS demonstrated notable antifungal efficacy. Both CPAM and CQAS possess distinct advantages and can significantly contribute to the preservation of PLMs. This work offers valuable insights for developing effective conservation strategies, emphasizing the potential of CPAM and CQAS as viable encapsulation materials in the face of conservation requirements. Full article

Background/objectives: A water extract of the plant Centella asiatica (CAW) has been shown to improve cognitive deficits in aged mice when administered for 5 weeks in drinking water. However, the contribution of the constituent compounds within CAW to the beneficial effects of the extract remains unelucidated. This study evaluated the effects of triterpene (TT) and caffeoylquinic acids (CQA) found within CAW, on learning, cognitive flexibility, memory, and anxiety-like behaviors in aged C57BL6 mice. Methods: Eighteen-month-old male and female C57BL6 mice were administered either TT, CQA, or the combination (TT+CQA) in their drinking water for a total of 5 weeks, at concentrations corresponding to their presence in CAW. During the final two weeks of treatment learning, executive function, memory, and anxiety were assessed. Results: Aged mice of both sexes showed significant improvement in learning when treated with TT and CQA separately and in combination. Treatment with TT also improved cognitive flexibility in aged mice of both sexes, but CQA and the combination of TT+CQA did not alter cognitive flexibility in aged male mice. There was no effect on recognition memory or anxiety in any of the treatment groups (TT, CQA, TT+CQA) relative to mice treated with the vehicle control although there was a trend towards improved recognition memory with TT treatment. Conclusions: These results suggest that the TT and CQA present in CAW likely contribute to its previously reported amelioration of age-related cognitive changes, especially in learning and cognitive flexibility, while other constituents may be responsible for CAW’s anxiolytic effects. Full article

Background/Objectives: Pyrogens, fever-inducing substances from biological or environmental sources, are recognized by Toll-like receptors (TLRs) predominantly expressed by human monocytes and represent a critical quality attribute (CQA) for pharmaceutical safety. The rabbit pyrogen test (RPT), widely used for pyrogen assessment, suffers from high variability, limited accuracy, and poor reproducibility, particularly for vaccines containing inherent pyrogens such as outer membrane protein complex (OMPC)-based vaccines. Existing in vitro alternatives using peripheral blood mononuclear cells (PBMCs) are challenged by donor-to-donor variability and the operational complexity of ELISA readouts. To support the 3Rs (Refinement, Reduction, Replacement) and provide a more reliable quality control (QC) method, we developed a reporter cell–based monocyte activation test (MAT) suitable for release testing. Methods: We screened human monocytic reporter cell lines engineered with NFκB-responsive promoter elements driving a luminescent reporter. Reporter cells were treated with diverse endotoxin and non-endotoxin pyrogens and luminescence was quantified after stimulation. Selected THP-1-derived reporter cells were used to develop an MAT for OMPC. Assay performance was evaluated following validation guidelines: linearity, accuracy, precision, analytical range (relative to a reference lot), and robustness under deliberate parameter variations. Results: The THP-1 reporter cells could detect a wide range of pyrogens via simple luminescence readouts. For OMPC testing, the MAT demonstrated strong linearity (R² ≥ 0.99), accuracy with relative bias within ±10.3%, and high precision (overall %RSD ≤ 6.9%) across the 25–300% range. Deliberate variations in assay parameters did not materially affect performance, indicating robustness appropriate for routine release testing. Conclusions: The implementation of reporter cell-based MAT assays enhances consistency, reliability, and efficiency in evaluating the pyrogenicity and safety of drug products, supporting global initiatives to minimize animal testing while ensuring regulatory compliance. Full article

Background/Objectives: Hospital compounding is essential for the delivery of patient-tailored therapies—particularly for pediatric and oncology patients and other groups requiring precise dosing. Its role is expected to grow as, for instance, the UK MHRA’s new Guidance on Decentralised Manufacturing promotes alternative manufacturing pathways that integrate hospital preparation units. However, drug substances that remain stable in commercial oral formulations may undergo rapid degradation under alternative conditions (e.g., aqueous suspension, light exposure, or in the presence of specific excipients). Despite these risks, formulation strategies in hospital compounding often rely on empirical practices and lack structured guidance regarding stability, impurity control, and reproducibility. Methods: This study proposes a risk-based scientific framework for formulation design, integrating degradation profiling with predictive toxicology. Potential degradation pathways (hydrolytic, oxidative, and photolytic) are systematically identified through forced-degradation studies combined with ab initio modeling. These risks are translated into formulation strategies using a structured decision tree encompassing solvent selection, pH adjustment, excipient compatibility, and packaging considerations, even in the absence of a pharmacopeial monograph. The toxicological relevance of degradation products is evaluated using in silico approaches aligned with ICH M7 guidelines, thereby defining critical quality attributes (cQAs) and critical process parameters (CPPs). Results: The applicability of the framework is demonstrated through hospital compounding case studies, with further extension toward advanced applications such as semi-solid extrusion (SSE) 3D printing. Conclusions: By integrating mechanistic understanding of drug degradation into formulation planning, the proposed framework enhances the safety, reproducibility, and quality of compounded preparations. This approach reinforces Good Preparation Practices (GPPs) and is consistent with international quality-by-design (QbD) principles in the context of personalized medicine. Full article

Atorvastatin (ATV), a widely used statin, exhibits both cholesterol-lowering and anti-inflammatory effects. Apigenin (API), a natural flavonoid, also demonstrates potent anti-inflammatory activity. This study aimed to develop and validate a novel stability-indicating reverse-phase HPLC method for the simultaneous quantification of ATV and API in standard solutions and dual ATV–API-loaded self-microemulsifying drug delivery system (SMEDDS). Quality by Design (QbD) approach was used to define the quality target product profile (QTPP), critical quality attributes (CQAs), and identify critical method parameters (CMPs) through risk assessment. A central composite design (CCD) evaluated the effects of organic phase ratio, buffer pH, and flow rate on chromatographic responses, including retention time, tailing factor, and resolution. Separation was achieved using an Agilent Eclipse XDB C-18 column (5 µm, 4.6 × 150 min) with a mobile phase of acetonitrile and 0.1 M ammonium acetate buffer (pH 7.0) in a 40:60 (v/v) ratio, UV detection at 266 nm, and a flow rate of 0.4 mL/ min. The method met ICH and USP (2021) validation criteria, showing excellent linearity (0.1–10 µg/mL), precision, accuracy, and specificity. No interference from SMEDDS excipients or degradation products during stability studies was observed. This validated method offers a reliable tool for formulation development and routine analysis of ATV and API combinations Full article

Background/Objectives: Alzheimer’s disease (AD) is the most prevalent form of dementia and is characterized by a decline in cognition that may be due, in part, to deficient cholinergic signalling. Cholinesterase inhibitors (ChEIs) are the first-line pharmacotherapies for treating the diminished cholinergic function in AD patients. Plant phytochemicals may provide useful ChEIs and mitigate other elements of AD pathology, including oxidative stress. Methods: Herein, the phytochemicals present in Moringa oleifera aqueous and methanolic extracts were identified by LC-MS/MS and the potential of several phytochemicals (4-O-caffeoylquinic acid (4-CQA), quercetin 3-β-D-glucoside (Q3-β-D), chlorogenic acid (CGA), and rutin) to act as ChEIs and antioxidants was assessed. Results: The phytochemicals inhibited human acetylcholinesterase (AChE) in the following order of potency: 4-CQA > Q3-β-D > CGA > rutin; for AChE from Electrophorus electricus, the order of potency was Q3-β-D > 4-CQA > CGA > rutin. For human butyrylcholinesterase (hBuChE), the order of potency was rutin > 4-CQA > Q3-β-D > CGA and for equine serum BuChE, it was 4-CQA > Q3-β-D > rutin > CGA. Molecular docking validated the binding of the phytochemicals to cholinesterases, with binding affinities comparable to or higher than those of ChEI drugs. All the phytochemicals displayed potent radical-scavenging and antioxidant activities across six assays. 4-CQA was the most effective antioxidant in three of the assays. Conclusions: M. oleifera contains phytochemicals with weak ChEI activity and potent antioxidant capacity, with potential use as nutraceuticals to treat the cholinergic signalling deficit and oxidative stress that typifies AD pathology. Full article

Nanogel is administered via various routes to overcome physiological barriers and achieve the desired therapeutic effect in vivo. However, developing a stable nanogel system is required to retain its therapeutic efficacy after storage. Therefore, a nanogel system composed of inorganic material (Laponite) was developed using Quality by Design (QbD) and Design of Experiments (DoE), using curcumin (CUR) as a model drug. Through a comprehensive literature review, single-factor experiments and Box–Behnken Design (BBD) experiments, we identified the CQAs and critical process parameters (CPPs), ultimately obtaining the optimal formulation. The DL, EE, Ps and PDI were determined as the CQAs and the optimal formulation was successfully prepared (LAP:CUR:TPGS = 6:2:36.6; mg;10 mL). FTIR, DSC and TEM analyses confirmed the successful loading of CUR, with a Ps in100nm, exhibiting biphasic drug release characteristics and maintaining stability for 28 days at 4 °C. QbD combined with DOE successfully facilitated stable CUR-TPGS-LAP nanogels. This study helps to better understand the critical factors in the development of nanogels and lays the foundation for the future integration of AI technology to promote a “first-time-right” drug formulation for future AI-promoted ‘one-stop’ drug formulation development model. Full article

Saposhnikovia divaricata (Turcz. ex Ledeb.) Schischk., commonly known as divaricate siler, is a well-known medicinal plant from the Apiaceae family. Its natural habitat is rapidly declining owing to the harvesting of its roots, used as fángfēng in traditional Oriental medicine. This underutilized herb may serve as a valuable source of bioactive phenolic compounds, which can potentially be influenced by salicylic acid (SA) elicitation—a practical method to increase the concentration of valuable substances in plants. A field study showed that foliar application of SA on one-year-old S. divaricata positively influenced the total phenolic content in the herb, with the highest increase observed at 1.0 mM SA. Liquid chromatography–mass spectrometry (LC–MS) data became increasingly complex with rising SA levels, identifying up to 48 compounds, including cinnamoyl quinic acids (CQAs), dihydrofurochromones (DFCs), and flavonol O-glycosides (FOGs), most reported for the first time in this species. The highest concentrations of CQAs, DFCs, and FOGs in plants treated with 1.0 mM SA were 83.14, 3.75, and 60.53 mg/g, respectively, compared to 42.76, 0.95, and 40.73 mg/g in untreated (0.0 mM SA) plants. Nine in vitro antioxidant assays revealed strong radical-scavenging and nitric oxide (NO)- and Fe²⁺-chelating activities in 1.0 mM SA-treated plants, indicating robust antioxidative properties of the S. divaricata herb. Thus, foliar application of SA considerably enriches the herb with target antioxidants, increasing its medicinal value, which is reflected in the plant’s biological response. This could potentially reduce the overexploitation of natural populations of S. divaricata, helping to preserve this valuable plant. Full article

Coffee kombucha beverages were developed by fermenting various coffee substrates, including instant coffee (I), coffee brews of ground coffee beans (G), and additional spent coffee added ground coffee (GSC) using either SCOBY (S) or Lactiplantibacillus plantarum ELB90 (L), or a combination of both (SL). The combined SL inoculation did not synergistically enhance the growth of acetic and lactic acid bacteria, nor did it increase the acetic and lactic acid concentrations or improve retention of caffeoylquinic acids (CQA) compared to non-fermented controls stored for the incubation period (7 days). Samples fermented with L better preserved the total CQAs during incubation, notably increasing 3-CQA and 4-CQA in L-fermented G and GSC samples by up to 40%, whereas 5-CQA showed a slight decrease (up to 8%) in L-fermented G and GSC samples. After one week, all fermented samples maintained stable levels of 3-CQA compared to the non-fermented SCG control, with significantly elevated 4-CQA. Caffeic acid was detected only in the bound fraction of beans, exhibiting similar concentrations in both fermented and non-fermented samples. SL-fermented coffees showed significant reductions in caffeine contents, except for I coffee substrate, and spent coffee grounds (SCG) filtered from the SL-fermented sample also had significantly lower caffeine content. Panelists preferred coffee kombucha beverages inoculated with S over those fermented with L, which were rated least appealing. The study concludes that fermentation with specific inoculation cultures could mitigate the degradation of coffee phenolic compounds during storage and facilitate the production of beverages with lower caffeine content, potentially enhancing both functional properties and consumer acceptability. Full article

Background: Reducing postprandial blood glucose (PBG) is a crucial strategy for treating diabetes and minimizing the risk of complications. Developing efficient and safe α-glycosidase inhibitors from natural products to lower PBG has attracted much attention. Silphium perfoliatum L. (SP), a traditional herbal medicine of North American Indigenous tribes, has efficacy of treating metabolic diseases, but its hypoglycemic activity and bioactive components have not been fully studied. Methods: In vitro α-glucosidase inhibition and in vivo sucrose/maltose/starch tolerance assays were performed to assess the hypoglycemic effects of SP extracts, and UPLC-Triple-TOF-MS/MS analysis was used to tentatively identify its chemical structure composition. In vitro enzyme inhibition and molecular docking were used to verify the effective ingredients. Results: In vitro hypoglycemic activities of four extracts of SP (SP-10/SP-40/SP-60/SP-C) showed that SP-10 exhibited strong α-glucosidase (sucrase and maltase) inhibitory effects with IC₅₀ of 67.81 μg/mL and 62.99 μg/mL, respectively. Carbohydrate tolerance assays demonstrated that SP-10 could significantly reduce the PBG levels of diabetic mice, with a significant hypoglycemic effect at a dosage of 20 mg/kg. A total of 26 constituents, including 11 caffeoylquinic acids (CQAs) and 15 flavonol glycosides, were tentatively identified by mainly analyzing secondary MS fragmentation. Moreover, three CQAs rich in SP-10, namely chlorogenic acid (CGA), neochlorogenic acid (NCGA), and cryptochlorogenic acid (CCGA), may be the main hypoglycemic substances, as evidenced by their inhibitory effects on sucrase and maltase. Conclusions: The α-glucosidase inhibitory effects of SP extract both in vitro and in vivo and its active ingredients were systematically studied for the first time. Results indicated that SP extract, rich in CQAs, had significant hypoglycemic activity, supporting the considerable potential of SP as hypoglycemic functional food or cost-effective therapeutic agents for diabetes treatment. Full article

In social networks like community Question-Answering (cQA) services, members interact with each other by asking and answering each other’s questions. This way they find counsel and solutions to very specific real-life situations. Thus, it is safe to say that community fellows log into this kind of social network with the goal of satisfying information needs that cannot be readily resolved via traditional web searches. And in order to expedite this process, these platforms also allow registered, and many times unregistered, internauts to browse their archives. As a means of encouraging fruitful interactions, these websites need to be efficient when displaying contextualized/personalized material and when connecting unresolved questions to people willing to help. Here, demographic factors (i.e., gender) together with frontier deep neural networks have proved to be instrumental in adequately overcoming these challenges. In fact, current approaches have demonstrated that it is perfectly plausible to achieve high gender classification rates by inspecting profile images or textual interactions. This work advances this body of knowledge by leveraging lexicalized dependency paths to control the level of abstraction across texts. Our qualitative results suggest that cost-efficient approaches exploit distilled frontier deep architectures (i.e., DistillRoBERTa) and coarse-grained semantic information embodied in the first three levels of the respective dependency tree. Our outcomes also indicate that relative/prepositional clauses conveying geographical locations, relationships, and finance yield a marginal contribution when they show up deep in dependency trees. Full article

This comprehensive review of the synergistic use of Quality by Design (QbD) and the Pi–Buckingham theorem explores an innovative approach to enhancing product development and process optimization within the pharmaceutical industry. QbD is a systematic, proactive methodology that integrates quality considerations throughout the product lifecycle to ensure that pharmaceutical products meet regulatory standards for safety and efficacy from the outset of development. The Pi–Buckingham theorem serves as a foundational principle in dimensional analysis, facilitating the simplification of complex models by transforming physical variables into dimensionless parameters. This synergy enables researchers to better understand and control the factors affecting critical quality attributes (CQAs), thereby improving manufacturing outcomes and minimizing variability. Full article

This study investigated the impact of enzyme treatment on the physicochemical parameters and volatile and bioactive composition of Arabica coffee beans during self-induced anaerobic fermentation (SIAF). The physicochemical parameters of the beans treated with the enzyme solution were monitored over a 120 h fermentation period. The results showed that increasing enzyme concentration reduced the levels of reducing sugars and phenolic compounds, leading to decrease in antioxidant activity. Pectin lyase activity was highest in beans treated with 10 U.·mL⁻¹, while polygalacturonase activity fluctuated throughout fermentation. The highest caffeine content (722.09 ± 3.7 mg·100g⁻¹) was found in beans treated with 5 U.mL⁻¹ after 72 h of fermentation. In contrast, trigonelline (1028.75 ± 31.4 mg·100g⁻¹) and 5-O-caffeoylquinic acid (5CQA) (423.46 ± 40.3 mg·100g⁻¹) were more prominent in unfermented beans. Volatile formation showed a positive correlation with enzyme concentration, with beans treated with 10 U·mL⁻¹ exhibiting a more diverse volatile profile in the first 24 h. These findings suggest that enzymatic treatment modulates coffee’s volatile and bioactive composition, enhancing levels of aromatic compounds that are directly linked to the sensory quality of the coffee beverage. Full article

Background: Recombinant monoclonal antibodies represent a vital category of biologics, constituting the largest class of molecules used to treat autoimmune disorders, cancers, rheumatoid arthritis, and other chronic conditions. The IgG1 subclass is the most potent among all the immunoglobulin gamma (IgG) antibodies, inducing Fc-related effector functions. N-linked glycan distribution of therapeutic IgG1s affects Fc-related effector functions such as CDC (complement-dependent cytotoxicity) and ADCC (antibody dependent cell-mediated cytotoxicity) biological activities and efficacy in vivo. Hence, as a critical quality attribute (CQA), the glycosylation profile of therapeutic IgG1s must be consistently preserved, which is primarily influenced by manufacturing process factors. In the era of biosimilars, it is challenging for biopharmaceutical manufacturers to not only obtain the desired glycan distribution consistently but also to meet the innovator molecule specifications as per the regulatory agencies. Methods: This study investigates the CHO fed-batch process parameters that affect the titer and terminal galactosylation of the TNF-α blocker-IgG1. It was hypothesized that galactose supplementation would enhance the galactosylation of TNF-α blocker-IgG1. Results: It was observed that such in-cultivation process shift does not affect cell culture parameters yet significantly enhances the galactosylation of TNF-α blocker-IgG1. Interestingly, the results indicate that supplementing D-galactose from the exponential phase of the CHO fed-batch process had the greatest effect on Fc galactosylation, increasing the amount of total galactosylated TNF-α blocker-IgG1 from 7.7% to 15.8%. Conclusions: Our results demonstrate a relatively easy and viable technique for cell culture engineering that is more appropriate for industrial production than costly in vitro glycoengineering. Full article

Introduction: The use of response surface designs for drug formulation is highly warranted nowadays. Such smart designs reduce the number of required experiments compared to full-factorial designs, while providing highly accurate and reliable results. Aim: This study compares the effectiveness of two of the most commonly used response surface designs—Central Composite Design (CCD) and D-optimal Design (DOD)—in modeling a polymer-based drug delivery system. The performance of the two designs was further evaluated under a challenging scenario where a central point was deliberately converted into an outlier. Methods: Both methods were assessed using ANOVA, R-squared values, and adequate precision, and were assessed through an experimental validation point. Results: Both models demonstrated statistical significance (p-value < 0.05), confirming their ability to describe the relationships between formulation variables and critical quality attributes (CQAs). CCD achieved higher R-squared and predicted R-squared values compared to DOD (0.9977 and 0.9846 vs. 0.8792 and 0.7858, respectively), rendering it as the superior approach in terms of modeling complex variables’ interactions. However, DOD proved to be more predictive as it scored a lower percentage relative error. Conclusion: The demonstrated resilience of both models, despite the introduction of an outlier, further validates their utility in real-world applications, instead of the exhaustive full-factorial design. Full article