Consistent Product Quality Research Articles

ANALISIS DESKRIPTIF KUALITATIF IMPLEMENTASI WORD OF MOUTH DALAM KOMUNIKASI PEMASARAN PRODUK BROOKLAND COFFEE

This research aims to explore and describe exactly how the application of word of mouth marketing communication in Brookland Coffee's product marketing strategy. The research method uses a descriptive qualitative approach by conducting direct observations and in-depth interviews with key informants consisting of the owner, baristas, and consumers of Brookland Coffee. The results showed that Brookland Coffee consistently implements a word of mouth strategy by prioritizing aspects of trust and consumer confidence. This strategy is implemented through a family approach, networking, and community building, especially the bicycle community. The research conclusion revealed that the effectiveness of word of mouth succeeded in strengthening Brookland Coffee's marketing communications, supported by consistent product quality, good service (hospitality), and the use of Instagram social media as a supporting platform for marketing strategies. Brookland Coffee succeeded in building a strong brand identity through a combination of offline and online word of mouth communication.

Therapeutic Peptides Encapsulated into Lipid-Based Nanovesicles: Scaling from Lab to Plant

Lipid-based peptide-encapsulated nanovesicles represent a cutting-edge approach in drug delivery systems, offering enhanced stability, targeted delivery, and controlled release of therapeutic peptides. This review explores the comprehensive science and techniques behind the robust formulation and analytical methods for these nanovesicles, spanning from lab-scale research to large- scale manufacturing. Critical aspects include lipid selection, detailing how the choice of lipids impacts the stability and efficacy of the nanovesicles, and various peptide encapsulation techniques, emphasizing methods to achieve high encapsulation efficiency and controlled release. Key processes in vesicle formation, such as thin film hydration, sonication, and microfluidics, are discussed to highlight their roles in producing nanovesicles with consistent size and morphology. The importance of stability studies, including physical, chemical, and thermal assessments, is underscored. Analytical techniques such as Dynamic Light Scattering (DLS), Zeta Potential measurement, High-Performance Liquid Chromatography (HPLC), and Mass Spectrometry (MS) are detailed, showcasing their crucial roles in characterizing nanovesicles and ensuring their quality, safety, and efficacy for pharmaceutical use. The review addresses the challenges and solutions associated with scaling up production, including maintaining consistent product quality, optimizing manufacturing processes, and controlling production costs. It also navigates the regulatory landscape, discussing the stringent guidelines set by agencies such as the FDA and EMA and the necessity of strategic regulatory planning to facilitate market approval. This comprehensive review aims to serve as an in-depth resource for experts in the field, aiding in the translation of lipid-based peptide-encapsulated nanovesicle formulations from bench to bedside, ultimately enhancing therapeutic outcomes and expanding treatment options for various disease. Key Words: Peptide, Amino acid, Degradation, Pharmacokinetics, Peptide encapsulation, drug delivery systems, Peptide Characterization

Recent advances in fish cutting: From cutting schemes to automatic technologies and internet of things innovations.

Fish-cutting products are widely loved by consumers due to the unique nutrient composition and flavor in different cuts. However, fish-cutting faces the issue of labor shortage due to the harsh working environment, huge workload, and seasonal work. Hence, some automatic, efficient, and large-scale cutting technologies are needed to overcome these challenges. Accompanied by the development of Industry 4.0, the Internet of Things (IoT), artificial intelligence, big data, and blockchain technologies are progressively applied in the cutting process, which plays pivotal roles in digital production monitoring and product safety enhancement. This review focuses on the main fish-cutting schemes and delves into advanced automatic cutting techniques, showing the latest technological advancements and how they are revolutionizing fish cutting. Additionally, the production monitoring architecture based on IoT in the fish-cutting process is discussed. Fish cutting involves a variety of schemes tailored to the specific characteristics of each fish cut. The cutting process includes deheading and tail removal, filleting, boning, skinning, trimming, and bone inspection. By incorporating sensors, machine vision, deep learning, and advanced cutting tools, these technologies are transforming fish cutting from a manual to an automated process. This transformation has significant practical implications for the industry, offering improved efficiency, consistent product quality, and enhanced safety, ultimately providing a modernized manufacturing approach to fish-cutting automation within the context of Industry 4.0.

Optimization of batch cooling crystallization systems considering crystal growth, nucleation and dissolution. Part I: Simulation

Optimal control of batch crystallization systems is still a focus and hot topic in the field of industrial crystallization, which seriously affects the consistency of batch product quality. In this paper, a new method with a new objective function and improved optimization algorithm was proposed for optimization of crystal size distribution (CSD) in case of fine crystals occurrence. The new objective function was developed with better margin metric and weighting technique to minimize fine crystal mass, meanwhile, a newly constructed sinusoidal weight function was introduced to improve the particle swarm optimization (PSO) algorithm. A precise control of CSD with suppressed numerical discrepancy caused by fine crystals removal was developed by combining seed recipe and temperature-swing. In addition, the effects of temperature curve segments on CSD during process optimization were systematically investigated to achieve optimal results. Two typical batch cooling crystallization systems were used to verify the effectiveness of the proposed method in controlling product CSD while minimizing fine crystal mass. Results demonstrated that the desired product CSD can be achieved with minor errors while the fine crystals could be shrunk to be negligible, i.e., the fine crystal mass and number can be reduced by over 90%. This work has an important guiding significance for the removal of fine crystals in industrial crystallization processes, especially when only operational optimization rather than equipment updating is considered.

Real-Time Adaptive Inline Acidification Enhances Continuous pH Control for Viral Inactivation.

Existing low pH viral inactivation methods for continuous downstream processing of biologics typically rely on predictive models to estimate the necessary pH adjustments. However, these methods are of limited use during the process development stage due to the dynamic nature of capture chromatography, where batch variations can alter the eluted protein titer. This study introduces an inline viral inactivation system (IVIS) that utilizes real-time adaptive control and inline sensor readings to precisely regulate the pH manipulation for inline acidification and continuous viral inactivation. The IVIS, which includes a coiled flow inversion reactor (CFIR), is integrated with a multicolumn capture chromatography system to demonstrate a fully continuous process from protein capture chromatography to inline pH manipulation. The system achieved precise inline pH manipulation within ±0.15 and a narrow residence time distribution of 13.5min with a relative width of 0.7. The introduction of real-time inline pH manipulation with the IVIS signifies a notable advancement in managing critical process parameters (CPPs) and ensuring consistent product quality across varied production environments for continuous downstream bioprocessing.

Analysis of Micro Business Marketing Strategy in Facing Competition

This study is motivated by the challenges faced in the development of micro-enterprises at Bukit Sion Market, largely due to the high level of competition. Many businesses struggle to determine appropriate financing models and product offerings, as the market is saturated with similar products offered by competitors. The objective of this research is to analyze the marketing strategies employed by micro-enterprises and identify the obstacles they face in dealing with competition at Bukit Sion Market, Lahomi District. The research employs a descriptive qualitative method. The findings reveal that all food stalls adopt marketing strategies that include market selection, product planning, pricing, distribution systems, and marketing communication. Effective marketing strategies, such as offering discounts, special promotions, or hosting promotional events, have been shown to significantly boost sales. However, the food stalls encounter several challenges, including intensified competition due to the emergence of similar businesses offering comparable products, a lack of product innovation and promotion, fluctuations in raw material prices, as well as issues with product quality consistency, customer service, and overall customer experience.

Cider Terroir: Influence of Regionality on Australian Apple Cider Quality

Understanding how regionality influences the key characteristics of cider will assist the industry to produce a premium and consistent quality product. Three dessert apple varieties were sourced from three (minimum) orchards per region from nine major growing regions across Australia over two seasons. Ciders produced from these apples were analysed for base quality characteristics, including total phenolic content (TPC), pH, total soluble solids (TSS) and titratable acidity (TA). Across both seasons, region had a significant influence on TPC, with the region model explaining approximately 25% of the variation in TPC. TSS and TA were significantly influenced by an interaction between variety and region, with the model accounting for approximately 60% and 75% of the variation, respectively, over both seasons. An interaction between variety and region influenced pH results in the first season, with only mean effects in the second season. A climate model was developed using average rainfall data and growing degree days (GDDs). Differences in climate accounted for most, but not all, of the regional variation observed in cider quality measurements. These results demonstrate that the apple growing region can significantly impact the resulting cider quality. Such findings are critical for supporting cider producers to make informed decisions when sourcing fruit.

Application of Statistical Process Control in Automotive Manufacturing

This research looks at how “statistical process control”, or SPC, is used in the automotive sector and highlights how it can improve production efficiency, lower defect rates, and improve process quality. SPC is crucial to the monitoring and control of the complex assembly processes and strict quality standards that define the automobile sector. The efficiency of several SPC methods, including control charts and process capability analysis (Cp and Cpk), in preserving process stability and fulfilling quality criteria is assessed in this study. The study shows how these technologies may detect process variations and direct appropriate adjustments to optimize output using simulated data analysis. The results highlight how crucial SPC is to attaining consistent product quality and reliability, which raises performance and safety requirements in the automotive sector.

A Review on QbD Approach in Analytical Method Development and Validation .

Quality by Design (QbD) is a cutting-edge pharmaceutical development that enhances analytical method robustness by emphasizing a thorough understanding of processes, risk management, and continuous improvement. Unlike traditional methods that often focus on end-product testing, QbD integrates quality into the development stages through a structured process. This involves defining the analytical target profile, identifying critical quality attributes, and employing the design of experiments to optimize method parameters. The implementation of QbD begins with a comprehensive understanding of the analytical objectives, leading to the identification of method variables that impact quality. Using risk assessment tools such as failure mode and effects analysis, developers can pinpoint potential risks and focus on areas of highest concern. Design of Experiments (DoE) plays a crucial role in this approach by exploring the interaction between variables and establishing a robust design space. Organizations can decrease variability, comply with regulations, and perform better methods when they adopt QbD concepts. This systematic approach not only minimizes the risk of method failures but also ensures consistent product quality, leading to increased patient safety and satisfaction. Furthermore, QbD facilitates faster development cycles and cost efficiencies by reducing the need for post-launch troubleshooting and modifications. This abstract provides a comprehensive overview of the role and significance of QbD in analytical method development, highlighting its components, benefits, and impact on the pharmaceutical industry.

Inovasi Dan Optimalisasi Proses Produksi Sirup Bunga Rosella Di Desa Karangtengah Kabupaten Kendal

The main focus of this research is to deeply analyze the existing production process, evaluate the technology and equipment used, and identify ways to improve raw material and energy management. Through the application of the latest technology, such as more efficient processing machines and more modern processing methods, it is expected to improve production efficiency, reduce operational costs, and ensure consistent product quality. The research method includes data collection from observations of the current production process, interviews with local producers, and analysis of the equipment and techniques used. In addition, this research also involves testing the implementation of innovations and evaluating their impact on the final product results and production costs. The expected results of this research include improved syrup quality, better operational efficiency, and reduced production costs, which overall can increase the competitiveness of Karangtengah syrup products in the market. The benefits of this research are not only limited to improving the quality and efficiency of production but also include positive economic impacts for the local community. By improving the production process and expanding market reach, it is expected to create new economic opportunities, improve the welfare of local communities, and provide a model for other food processing industries in the region. This research aims to make a significant contribution to the development of the local industry and encourage the adoption of more sustainable and innovative production practices.

Strategies for improving expression of recombinant human chorionic gonadotropin in Chinese Hamster Ovary (CHO) cells

Optimizations of the gene expression cassette combined with the selection of an appropriate signal peptide are important factors that must be considered to enhance heterologous protein expression in Chinese Hamster Ovary (CHO) cells. In this study, we investigated the effectiveness of different signal peptides on the production of recombinant human chorionic gonadotropin (r-hCG) in CHO-K1 cells. Four optimized expression constructs containing four promising signal peptides were stably transfected into CHO-K1 cells. The generated CHO-K1 stable pool was then evaluated for r-hCG protein production. Interestingly, human serum albumin and human interleukin-2 signal peptides exhibited relatively greater extracellular secretion of the r-hCG with an average yield of (16.59 ± 0.02 μg/ml) and (14.80 ± 0.13 μg/ml) respectively compared to the native and murine IgGκ light chain signal peptides. The stably transfected CHO pool was further used as the cell substrate to develop an optimized upstream process followed by a downstream phase of the r-hCG. Finally, the biological activity of the purified r-hCG was assessed using in vitro bioassays. The combined data highlight that the choice of signal peptide can be imperative to ensure an optimal secretion of a recombinant protein in CHO cells. In addition, the stable pool technology was a viable approach for the production of biologically active r-hCG at a research scale with acceptable bioprocess performances and consistent product quality.

Transforming Tofu Quality Control: Integrating Statistical Process Control, Ishikawa, and Interpretive Structural Modeling for Superior Outcomes

In a highly competitive market, maintaining high product quality is essential for maintaining customer satisfaction and loyalty. Producers are famous in East Java and face the challenge of ensuring consistent quality products through strict production processes. Know that as easy products broken and soft, needy control of careful quality to meet hope consumers about freshness, texture, and quality in a way whole. Although traditional control methods often fail to overcome the production complex that causes a disabled product. This research proposes integrating Statistical Process Control (SPC), Ishikawa diagrams, and Interpretive Structural Modeling (ISM) to improve control quality. SPC makes it possible to monitor and control production processes in real-time, identify deviations, and repair deviations. However, the SPC limitations include a focus on quantitative data and post-incident detection problems. To overcome root problems, the Ishikawa diagram categorizes the reasons for potency as material, machine, method, power work, and environment. ISM prioritizes action repair based on impact and relationship. Approach This integrated approach provides comprehensive solutions to improve the quality of knowledge. In this study, the control process quality was evaluated using SPC, the cause of defects was identified using Ishikawa diagrams, and priority action repair was performed via ISM. Findings show that SPC directly effectively monitors process control, the Ishikawa diagram identifies main defects, and ISM prioritizes impactful action improvements, emphasizes excessive additions to subtraction materials, and improves health workers’ and mixing process material standards. Approach integrated possible identification of additional problems and improved the quality strategic makes a significant contribution to enhancing product quality knowledge.

Chitosan and inulin synergized with Lactiplantibacillus plantarum LPP95 to improve the quality characteristics of low-salt pickled tuber mustard

Low-salt pickled vegetables are in line with a healthier diet, yet ensuring consistent quality of such products is challenging. In this study, low-salt tuber mustard pickles fermented with Lactiplantibacillus plantarum LPP95 in the presence of chitosan and inulin were analyzed over a 30-day period, and quality changes were evaluated. Total acid productions along with high bacterial counts (106 CFU/mL) were observed in the initial 20 days during indoor storage temperature, in which the reduced fiber aperture was found significantly lead to an increase in crispness (16.94 ± 1.87 N) and the maintenance of a low nitrate content (1.23 ± 0.01 mg/kg). Moreover, the combined pickling treatment resulted in higher malic acid content, lower tartaric acid content, and a decrease in the content of bitter amino acids (e.g., isoleucine and leucine), thus leading to an increase in the proportion of sweet amino acids. Additionally, combined pickling led to the production of unique volatile flavor compounds, especially the distinct spicy flavor compounds isothiocyanates. Moreover, the combined pickling treatment resulted in an increase in the abundance of Lactiplantibacillus and promoted microbial diversity within the fermentation system. Thus, the synergistic effect among chitosan, inulin, and L. plantarum LPP95 significantly enhanced the quality of pickles. The study offers a promising strategy to standardize the quality of low-salt fermented vegetables.

A Detailed Case Study on Deviation, Out-of-Specification(OOS) and CAPA Generation in Pharmaceutical Industry

This review provide an overview of the various documentation of quality management system, which includes deviations, OOS and CAPA. A detailed case study of deviations, out-of-Specification and CAPA generation is beneficial for improving pharmaceutical capabilities and understanding the documentation associated with a quality management system. It is essential for understanding deviations and out-of-spec in the pharmaceutical industry. The quality of medicines means that they meet the required specifications. The quality management system in the pharmaceutical industry is essential because the drugs or pharmaceutical products are delivered directly to the customer's body. Therefore, identity, purity, safety, and the quality of the products are critical. A Deviation can define as "a deviation from an approved instruction or established standard" The deviation process helps identify potential risks to product quality and patient safety and establish the root cause. Once the root cause identifies, appropriate corrective and preventive actions take to prevent reoccurrence. OOS defines as "A result that is outside the specifications or acceptance criteria established by the manufacturer or laboratory" As the industry moves to newer and more complicated products, quality control procedures must be in place to ensure consistent product quality. "CAPA defined by corrections.

Modeling, optimization and control of a ceramic tunnel kiln for consistent product quality under changing production demands

This study presents a detailed physics-based model focusing on an industrial tunnel kiln under feedback control. Initially, an empirical sintering model is integrated into the kiln model to accurately predict the product outlet density, a quality-defining parameter reflecting firing process efficacy. Afterwards, the initial steady-state burner valve positions are determined using industrial temperature data. Subsequently, the interactions between gas temperatures and burner valve positions are quantified through the investigation of the Relative Gain Array. A systematic derivation of optimal set-points for different production rates is then carried out, aiming at minimizing energy consumption while meeting end-product quality specifications. The PID controllers are tuned using a dynamic optimization approach, which involves the minimization of integral criteria. Finally, a case study is conducted to evaluate the efficacy of the optimal set-points under varying production rates. The results demonstrate exceptional system response, thus indicating that firing curves should adapt to production rates for consistently producing quality products.

Adaptive two-dimensional subspace identification for monitoring batch processes with limited batch data

Data-driven based batch process monitoring is of critical importance in ensuring stable operating processes and consistent product quality. For long-duration batch processes, it is unrealistic to involve expensive data to train a statistical model for monitoring. To model the inherently batch-wise and variable-wise dynamics, nonlinearity, and time-varying characteristics, this paper proposes a local learning-based two-dimensional subspace identification (LL-2D-SID) scheme based on the similarity between the ongoing batch and the previous batches. The similarity is estimated by the extended extrapolative time-warping. Unlike the conventional statistical models using rich batch data, LL-2D-SID through online optimizing mechanism using limited batch data still has good prediction performance. The application of the sintering process in the polytetrafluoroethylene production has demonstrated that the LL-2D-SID based process monitoring scheme can not only accurately track temperature changes but also timely give fault alarms with a lower error alarm rate than the other SID-based process monitoring schemes.

Botanical and pharmacognostic investigation of Strobilanthes kalimantanensis.

Under a hidden waterfall in the interior of the tropical rainforest of East Kalimantan, a new medicinal plant that produces essential oil (EO) was found with the name Strobilanthes kalimantanensis. The aim was to investigate the botanical and evaluate the pharmacognostic characteristics of S. kalimantanensis leaves from East Kalimantan, Indonesia. Pharmacognostic studies can provide recommendations for establishing quality control standards or guidelines for cultivating, harvesting, and processing S. kalimantanensi s to ensure the consistent and reliable quality of medicinal products. Characteristic methods of S. kalimantanensis leaves include botanical macroscopic, fluorescence, physicochemical, and phytochemical evaluation. The plant characteristics of this plant are similar to S. kunthia and S. reptans but can be differentiated in the leaves and flowers. Fluorescence assay with sodium hydroxide 5% shows unique characteristics of secondary metabolites based on their ability to form dark green with black precipitate in Ultraviolet 365 nm. The physicochemical characteristics showed yield, water content, water-soluble, ethanol soluble, total ash value, and acid-insoluble ash. Phytochemicals showed the presence of alkaloids, polyphenols, terpenoids, and EO containing 23% trans-anethole. This evaluation report details the chemical composition, identity, and safety of S. kalimantanensis leaves.

Computed tomography (CT) scanning to visualize eye formation and internal structure in Grevé cheese

The Grevé cheese, a semi-hard Swedish cheese, is well-known for its characteristic flavor and shape of eye formation. The size and distribution of the eyes play a crucial role for the sensory attributes, aesthetic value and quality of the cheese. This article focuses on investigating the feasibility of using computed tomography (CT) scanning as a non-destructive tool to observe early-stage eye formation in Grevé cheese within an industrial trial. It is crucial to achieve a perfect combination of small and big sized eyes, evenly distributed within the cheese wheel, without having cracks/splits for optimal quality. Such variations could be visualized using CT-scanning of cheeses at a young and mature stage by providing high-resolution, three-dimensional CT-scanning images of the cheese's internal structure, without the need for physical dissection. Further, the distribution of eyes, their shape and number, could be visualized and compared for the same cheese scanned at young and mature stages. Thus, the importance of monitoring eye formation through non-destructive techniques is emphasized to ensure consistent product quality.

Efficiency of freeze- and spray-dried microbial preparation as active dried starter culture in kombucha fermentation.

Kombucha is a widely consumed fermented beverage produced by fermenting sweet tea with a symbiotic culture of bacteria and yeast (SCOBY). The dynamic nature of microbial communities in SCOBY may pose challenges to production scale-up due to unpredictable variations in microbial composition. Using identified starter strains is a novel strategy to control microorganism composition, thereby ensuring uniform fermentation quality across diverse batches. However, challenges persist in the cultivation and maintenance of these microbial strains. This study examined the potential of microencapsulated kombucha fermentation starter cultures, specifically Komagataeibacter saccharivorans, Levilactobacillus brevis and Saccharomyces cerevisiae, through spray-drying and freeze-drying. Maltodextrin and gum arabic-maltodextrin were employed as carrier agents. Our results revealed that both spray-dried and freeze-dried samples adhered to physicochemical criteria, with low moisture content (2.18-7.75%) and relatively high solubility (65.75-87.03%) which are appropriate for food application. Freeze-drying demonstrated greater effectiveness in preserving bacterial strain viability (88.30-90.21%) compared to spray drying (74.92-78.66%). Additionally, the freeze-dried starter strains demonstrated similar efficacy in facilitating kombucha fermentation, compared to the SCOBY group. The observations included pH reduction, acetic acid production, α-amylase inhibition and elevated total polyphenol and flavonoid content. Moreover, the biological activity, including antioxidant potential and in vitro tyrosinase inhibition activity, was enhanced in the same pattern. The freeze-dried strains exhibited consistent kombucha fermentation capabilities over a three-month preservation, regardless of storage temperature at 30 or 4 °C. These findings highlight the suitability of freeze-dried starter cultures for kombucha production, enable microbial composition control, mitigate contamination risks and ensure consistent product quality. © 2024 Society of Chemical Industry.

An Anomaly Detection Approach to Determine Optimal Cutting Time in Cheese Formation

The production of cheese, a beloved culinary delight worldwide, faces challenges in maintaining consistent product quality and operational efficiency. One crucial stage in this process is determining the precise cutting time during curd formation, which significantly impacts the quality of the cheese. Misjudging this timing can lead to the production of inferior products, harming a company’s reputation and revenue. Conventional methods often fall short of accurately assessing variations in coagulation conditions due to the inherent potential for human error. To address this issue, we propose an anomaly-detection-based approach. In this approach, we treat the class representing curd formation as the anomaly to be identified. Our proposed solution involves utilizing a one-class, fully convolutional data description network, which we compared against several state-of-the-art methods to detect deviations from the standard coagulation patterns. Encouragingly, our results show F1 scores of up to 0.92, indicating the effectiveness of our approach.