Search Results (59)

In recent years, there has been growing consumer interest in foods and cosmetics containing ingredients of natural origin. During the production process, a by-product of pomace is generated, which is regarded as a dispensable product by the food industry. However, studies have clearly indicated that fruit and vegetable pomace is a valuable source of many nutrients, whose beneficial effects on human health and appearance may represent an added value in its secondary use. Incorporating pomace into cosmetic products enhances their aesthetic value and can enrich them with naturally occurring polyphenols, which is in line with the circular economy model. In the present study, we determined selected mechanical properties of lip balms containing different amounts of grape pomace, for example, the kinetic friction against artificial leather, hardness, penetration performance, maximum shear force, and sample penetration resistance. Moreover, the antiradical activity against DPPH and the total phenolic content were determined, and the colour parameters were analyzed. All tests were conducted on lip balm samples containing 1, 3, and 5% fruit pomace and a control sample. Analysis of the penetration performance showed no statistically significant differences between the individual samples. However, differences in the values of other physical properties were noted. Moreover, the antiradical activity against the synthetic radical DPPH and the total phenolic content increases the value of lip balms with increasing amounts of pomace added. The colour of the lip balms also darkens with increasing amounts of pomace added. The innovative use of grape pomace is in line with sustainable development, and its properties enhance the effects of lip balms. Full article

The world has recently witnessed the dire consequences of microbial infections in the form of the spread of COVID 19. Like viruses, bacterial infections too are a serious global health concern, especially because of the evolution of multidrug-resistant (MDR) bacterial populations. MDR bacteria are a result of the mindless use and misuse of antibiotics all over the world. Hence, there arises a need to find alternative strategies to effectively combat bacterial infections; all the more so for MDR bacterial infections. A lot of research has been conducted to find alternative antibacterial strategies such as phage therapy, the synthesis of antimicrobial peptides, the development of CRISPR-Cas systems, the incorporation of pro- and pre-biotics into our food or as supplements, and the development of bactericidal nanotechnology and antibacterial materials. Of these many strategies, this review focusses on the last one—the development of antibacterial materials. This article explores the potential of plant-derived natural colorants to serve as effective antibiotic materials to be used in various industries ranging from food, textile, paper, and leather to the pharmaceutical industry. Some major advantages of developing plant-derived natural colorants into antibacterial materials is that many of them possess inherent medicinal properties, they are biocompatible, non-toxic for humans, and biodegradable, and hence environment friendly. Many plant-derived natural colorants, like curcumin, indigo, lawsone, emodin, etc., have already been well studied for their antimicrobial properties. This review article aims at integrating some relevant studies to offer a cohesive overview of the current state of knowledge on the antibacterial properties of plant-derived natural colorants. Full article

Nowadays, the emphasis on sustainable performance highlights the necessity for resilience and innovation in tackling environmental and economic concerns within supply chain operations. Therefore, this study investigates the impact of six supply chain management practices (SCMPs) on organizational performance (OP) and environmental sustainability performance (ESP), along with the moderating role of supply chain dynamism. This research was conducted within medium and large export manufacturing firms in Jordan’s Garment, Textile, and Leather (GTL) sector, a pivotal export industry critical to the country’s economy. Data were gathered from 204 managers, employing an online self-administered questionnaire, using a quantitative research approach. The hypotheses were examined via structural equation modeling (SEM) through the SmartPLS software4. The findings reveal that ESP was significantly influenced by strategic supplier partnership and postponement. Additionally, the level of information sharing and internal lean practices were found to have a dual impact on both OP and ESP. Supply chain dynamism acted as a significant moderator only in the relationship between postponement and both OP and ESP. This study fills a significant gap in the GTL context in developing economies for export manufacturing firms that contribute to the current literature. What makes it original is its consideration of supply chain dynamism as a moderating variable and its context in an important sector for Jordan’s economy. In conclusion, the results present valuable implications for practitioners on developing custom SCMPs for sustainable and operational performance objectives in the dynamic supply chain context. Future studies should adopt probability sampling methods to improve the generalizability of the findings. Further, the findings should be confirmed by conducting a study on other exporting sectors or geographical areas to gain additional perspectives on the relationships between SCMPs, OP, and ESP. Full article

The possibility of using pyrolysis for the valorisation of leather and textile wastes constituting post-consumer clothes is analysed in this paper. The effect of gas type was investigated on the physico-chemical properties, composition, structure, and formation of the specific surfaces of carbonised materials produced by the pyrolysis process. The differences in the elemental composition of the carbonised materials derived from textile and leather wastes may be due to the specific chemical compositions. Both textile and leather wastes are rich in organic compounds, but their structural and compositional differences significantly influence the element content of carbonised materials. The characteristic feature of carbonised material made from leather waste is a relatively high nitrogen content (approx. 9 wt. %). In turn, in the case of carbonised material made from textile waste, a high carbon content is characteristic (75–80 wt. %). Moreover, G- and D-bands were detected in all the analysed carbonised materials. The presence of these bands confirms the transformation of leather and textile wastes into carbon materials. It was found that maintaining a high degree of order in the structure (calculated as I_D/I_G ratios based on the D and G peak intensities) of carbonised materials is advantageous to conducting the pyrolysis process on textile materials in N₂ and on leather materials in CO₂. The carbonised materials produced using these gases are characterised by an I_D/I_G ratio at a level of 0.05. Pyrolysis carried out in these gases also has a positive effect on the size of the BET surface area. However, it was shown that the carbonised products from textile materials are characterised by a higher BET surface area than that of carbonised products from leather materials regardless of the type of gas used during the pyrolysis process. Furthermore, all the carbonised materials are characterised by a high percentage content of mesopores in the carbon structure. These types of carbon materials have widespread application potential. The presented studies contribute data about the pyrolytic processing of post-consumer clothes (such as leather and textile waste) into carbonised materials to reuse, according to the circular economy model. Full article

In any industry, maximizing the use of raw materials is essential to reduce waste and costs, which also positively impacts the environment. In footwear production, components are typically derived from cutting processes, requiring optimized systems to maximize the use of different materials, minimize waste, and accelerate production. In this context, nesting is a technique that arranges shapes within a confined space to maximize area utilization and reduce unused space. As this problem is classified as NP-Hard, only algorithmic approximations can be employed. This paper focuses on optimizing the cutting of leather parts for shoe manufacturing. Footwear parts are cut from cattle hides, which are not only irregular in shape but also vary in resistance and quality across different areas of the same piece of leather. This study proposes automated nesting methods that aim to compete with current manual approaches, which are conducted exclusively by experts with deep knowledge of the characteristics of both the pieces and the leather, making the manual process time-intensive. This research reviews current methods and introduces hybrid ones, achieving up to 38.4× acceleration and up to 10.18% increase in nested pieces over manual methods. Full article

Tactile perception plays a crucial role in the perception of products and consumer preferences. This perception process is structured in hierarchical layers comprising a sensory layer (soft and smooth) and an affective layer (comfort and luxury). In this study, we attempted to predict the evaluation score of sensory and affective tactile perceptions of materials using a biomimetic multimodal tactile sensor that mimics the active touch behavior of humans and measures physical parameters such as force, vibration, and temperature. We conducted sensory and affective descriptor evaluations on 32 materials, including cosmetics, textiles, and leather. Using the physical parameters obtained by the biomimetic multimodal tactile sensor as explanatory variables, we predicted the scores of the sensory and affective descriptors in 10 regression models. The bagging regressor demonstrated the best performance, achieving a coefficient of determination (R²) of >0.6 for fourteen of nineteen sensory and eight of twelve affective descriptors. The present model exhibited particularly high prediction accuracy for sensory descriptors such as “moist” and “elastic”, and for affective descriptors such as “pleasant” and “like”. These findings suggest a method to support efficient tactile design in product development across various industries by predicting tactile descriptor scores using physical parameters from a biomimetic tactile sensor. Full article

Background: Standard test methods for evaluating the antibacterial performance of plastic (non-porous) and textile (porous) materials are accurate and reliable, but completing a standard assessment generally requires at least several days to a week. Well-trained and experienced technicians are also required to conduct the standard tests consistently and analyse the samples and test results systemically. These costs are often not favourable for the performance assurance of antimicrobial products in industrial production, nor for meeting the fast-return demands in research and development of antimicrobial materials nowadays. Methods: In this study, “Rapid Tests” are developed to evaluate the antibacterial activities of plastic and textile materials. Results: The assessment results from Rapid Tests for plastics and textiles are highly correlated to those from the ISO 22196 and the AATCC Test Method 100, respectively, whereas the evaluation operation can be completed within one day. Based on bioluminescence technology, colony-forming units of E. coli from the inoculated specimens are determined via luminometry. Antibacterial efficacy of the treated plastic and textile samples can be examined effectively. Conclusions: By analysing antimicrobial artificial leather samples composed of hydrophilic polyurethane polymer using Rapid Tests for plastics and textiles, the applicability and scope of these tests were remarkedly recognised and verified. Full article

Data on waste generation and composition are fundamental for effective waste management and can vary over time. Assessing the allocation of waste management facilities is also important to improve the entire waste management system, including land management. A survey conducted among 108 households in both urban and rural areas across six townships analyzed the waste generation and physical composition in Mandalay, highlighting the current trends relating to waste. Concurrently, data on current waste management facilities were gathered. The average waste generation is 0.84 kg/person/day, with urban areas producing 0.91 kg/person/day and rural areas 0.37 kg/person/day. The per capita waste generation rate reported in this study exceeds those in most previous studies conducted in Mandalay up to 2020, as well as the national average and that of most cities in Myanmar. Organic waste constitutes most of the physical composition, accounting for 82.3%, followed by plastic waste (10.7%), paper and cardboard (3.2%), glass (0.9%), metal (0.8%), leather and fabric (0.4%), and other waste (1.7%). Rural areas produce a higher percentage of most types of waste compared with urban areas, except for organic waste. Surprisingly, urban areas produce waste with a higher organic composition compared with rural areas. The percentage of organic waste was found to be higher than in previous studies conducted in Mandalay and other cities. Proper management of organic waste could significantly reduce the burden on waste management. In order to achieve this goal, this study proposes several viable strategies for optimizing solid waste management in Mandalay. The current location of waste management facilities reflects the efficiency of waste management and accessibility. However, there are concerns about this and improvements are necessary. These can be achieved by optimizing the placement of waste management facilities and enhancing the efficiency of the collection and transportation sector. Full article

This study aimed to investigate the shallow groundwater status around the Sheba Leather Tannery area, Wikro, North Ethiopia, through geophysical and hydrochemical methods. Seventeen Vertical Electrical Soundings (VESs) acquisitions, 4 upstream and 13 downstream, of the leather tannery area were conducted. Using the data, four geoelectric profiles were generated. The aquifers’ geoelectrical layers, depth, and lateral extent were delineated. The VES curves depicted three to four resistivity layers. These alternating layers of low, moderate, and high resistivity values, traced at different VES points, were attributed to the formations’ composition and the groundwater quality status. Besides the geophysical survey, 32 water samples were collected from the area. Parameters such as electrical conductivity (EC), total dissolved solids (TDSs), pH, major ions, and heavy metals were analyzed. Moreover, PHREEQC was used to determine the groundwater mineral saturation indices where most minerals, except halite, were found supersaturated. The quality status for drinking purposes was also evaluated using the water quality index (WQI), and the water was classified as good (56.3%), poor (37.5%), and very poor (6.2%). The sodium adsorption ratio (SAR) and the percentage of sodium (Na⁺%) were calculated, and the results indicated that the water is suitable for direct use in irrigation. Full article

This study presents an innovative machine learning (ML) approach to predicting raw material yield in the leather tanning industry, addressing a critical challenge in production efficiency. Conducted at a tannery in southern Brazil, the research leverages historical production data to develop a predictive model. The methodology encompasses four key stages: data collection, processing, prediction, and evaluation. After rigorous analysis and refinement, the dataset was reduced from 16,046 to 555 high-quality records. Eight ML models were implemented and evaluated using Orange Data Mining software, version 3.38.0, including advanced algorithms such as Random Forest, Gradient Boosting, and neural networks. Model performance was assessed through cross-validation and comprehensive metrics, including Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), Mean Squared Error (MSE), and Coefficient of Determination (R²). The AdaBoost algorithm emerged as the most accurate predictor, achieving impressive results with an MAE of 0.042, MSE of 0.003, RMSE of 0.057, and R² of 0.331. This research demonstrates the significant potential of ML techniques in enhancing raw material yield forecasting within the tanning industry. The findings contribute to more efficient forecasting processes, aligning with Industry 4.0 principles and paving the way for data-driven decision-making in manufacturing. Full article

This article presents the results of a study focused on collaboratively developing an Innovation Management Model (MGI) for the leather agro-industrial chain in Colombia. This study integrates the participation of interested parties, the prioritization of variables, the literature review, and the validation of the model, emphasizing sustainability considerations throughout the process. The methodology involved a literature review, using Scopus and Google Scholar, focusing on innovation management models, open innovation, and sustainability of the leather sector. In addition, three surveys were conducted to prioritize the established variables, using Likert scale questions, to assess relevance and congruence. Key findings included 26 critical variables covering aspects such as agricultural and technological innovation in platforms and projects, capacity development, R&D activities, supply chain dynamics, innovation management processes, knowledge and technology integration, business model adaptation for sustainable development, and environmental impact assessment. The prioritized innovation model aims to guide stakeholders to define open innovation strategies, sustainable and regenerative innovation generation, and improvement of strategic and technological capabilities. Full article

Volatile organic compounds (VOCs) are one of significant contributors to air pollution and have profound effects on human health and the environment. This study introduces a detailed analysis of VOC emissions from various industries within an industrial complex using a high-resolution measurement instrument. This study aimed to identify the VOC profiles and their concentrations across 12 industries. Sampling was conducted across 99 facilities in an industrial complex in South Korea, and VOC analysis was performed based on measurement data using a Proton-Transfer-Reaction Time-of-Flight Mass Spectrometry (PTR-ToF-MS). The results indicated that the emission of oxygenated VOCs (OVOCs) was dominant in most industries. Aromatic hydrocarbons were also dominant in most industries, except in screen printing (SP), lubricating oil and grease manufacturing (LOG), and industrial laundry services (ILS) industries. Chlorinated VOCs (Cl-VOCs) showed a relatively higher level in the metal plating (MP) industry than those in other industries and nitrogen-containing VOCs (N-VOCs) showed high levels in general paints and similar product manufacturing (PNT), MP, and ILS industries, respectively. The gravure printing industry was identified as the highest emitter of VOCs, with the highest daily emissions reaching 5934 mg day⁻¹, primarily consisting of ethyl acetate, toluene, butyl acetate, and propene. The findings suggest that the VOC emissions from the gravure printing and plastic synthetic leather industries should be primarily reduced, and it would be the most cost-effective approach to improving air quality. This study can provide the fundamental data for developing effective reduction technologies and policies of VOC, ultimately contributing to enhanced atmospheric models and regulatory measures. Full article

Fruit leathers are convenient, delicious and sophisticated alternatives to natural fruits as a source of nutrients, fibers and bioactive compounds. The present study was conducted to develop new fruit leathers by adding 0.5%, 1.0% and 1.5% wild bilberry (BIPP) and blackcurrant (BCPP) pomace powders in pear leather manufactured with honey (5%), pectin (1%) and lemon juice (2.5%) as additional ingredients. The CIEL*a*b* color parameters, titratable acidity, total phenolics content, total anthocyanins content and DPPH radical scavenging activity were determined in the fruit leathers. In addition, the puncturing force, flexibility and adhesiveness of the fruit leathers were measured and sensory analysis was conducted. The results showed that the addition of pomace powders significantly decreased the lightness, chroma and hue angle and increased the titratable acidity of the fruit leathers while a* values decreased in the leathers with BIPP addition. Flexibility slightly decreased while adhesiveness significantly increased with increasing BIPP and BCPP addition level, changes that were perceived as negative in the sensory analysis. The total phenolic content increased by 2.03, 3.26 and 4.45 times at 0.5, 1.0 and 1.5% BIPP addition, respectively, while only by 1.22, 1.42 and 1.60 times at the same levels of BCPP addition. The newly developed fruit leathers could be recommended as alternative snack foods with high nutritional value and functionality. Full article

This study aims to examine the influence of individual and organizational factors on the implementation of circular economy (CE) practices in SMEs in Bangladesh. A non-probability sampling technique is utilized to select a sample of 280 respondents from the textile and leather industries. Data are collected through a survey assessing individual factors such as environmental consciousness and innovation propensity, as well as organizational factors including leadership commitment and training and development programs. A frequency table is used to give the respondents’ details, and skewness and kurtosis are conducted to find the data normality. Reliability and validity analyses are conducted to ensure the robustness of the measurement instruments. A correlation matrix is generated to examine the relationships between variables, followed by a multiple regression analysis to test the hypothesized relationships. The preliminary findings indicate a significant correlation between individual and organizational factors and the implementation of CE practices. The multiple regression analysis reveals that both sets of factors contribute significantly to explaining the variance in CE implementation. The results indicate that environmental consciousness, innovation propensity, leadership commitment, and training and development programs emerge as significant predictors of CE implementation within these industries. This study offers valuable insights and sheds light on the role of individual and organizational factors in shaping sustainable practices. The findings contribute to the explanatory literature on CE implementation, providing empirical evidence to inform policymaking and business strategies aimed at promoting sustainability in the SME sector and beyond. Full article

Bovicola ovis, commonly known as the sheep-biting louse, is an ectoparasite that adversely affects the sheep industry. Sheep louse infestation lowers the quality of products, including wool and leather, causing a loss of approximately AUD 123M per annum in Australia alone. The lack of a high-quality genome assembly for the sheep-biting louse, as well as any closely related livestock lice, has hindered the development of louse research and management control tools. In this study, we present the assembly of B. ovis with a genome size of ~123 Mbp based on a nanopore long-read sequencing library and Illumina RNA sequencing, complemented with a chromosome-level scaffolding using the Pore-C multiway chromatin contact dataset. Combining multiple alignment and gene prediction tools, a comprehensive annotation on the assembled B. ovis genome was conducted and recalled 11,810 genes as well as other genomic features including orf, ssr, rRNA and tRNA. A manual curation using alignment with the available closely related louse species, Pediculus humanus, increased the number of annotated genes to 16,024. Overall, this study reported critical genetic resources and biological insights for the advancement of sheep louse research and the development of sustainable control strategies in the sheep industry. Full article