Industrial Products Research Articles

Development of Reagents - Blowing Agents Based on Local Raw Materials and their Research

The development and search for effective reagents and optimal technological conditions is one of the main factors for improving the coal flotation process. Solving these problems increases the technological and economic efficiency of flotation enrichment. The article discusses methods for producing foaming regents based on waste from the distillation process of cottonseed oil - gossypol resin and methods of flotation of various classes of fine coal. The advantages of this foaming agent include the availability of raw materials, which are a product of domestic industry, produced at the enterprises of the Kattakurgan MJK and amino alcohols (mono- , di- and triethanolamine) , sufficient resources and relative low cost. Conducted research to assess the effectiveness, surface activity and foaming ability of the resulting reagents - in foaming agents, according to the proposed technology of the studied technical products, the resulting product belongs to the surface-active reagents and has high flotation activity. The physico-chemical and foam-forming properties, foam stability, destruction kinetics and other properties of flotation reagents - foaming agents SK-1 and SK-2 - have been studied. The results of studies of the influence of foaming reagents in the process of flotation and extraction of precious and non-ferrous metals are presented. The optimal option for the effective composition of composite chemical flotation reagents - foaming agents and their parameters was selected. The results of scientific research conducted at JSC NMMC on the use of analogues of the foaming agents SK-1 and SK-2 are given in comparison with the reagents (Oxal) currently used at the plant. The elemental composition of man-made waste samples using reagents SK-1 and SK-2 was determined.

A Comprehensive Examination of UV-VIS Spectrophotometric Methods in Pharmaceutical Analysis Between 2015-2023.

Quality control is a system of validated procedures in which many samples, including active pharmaceutical ingredients and final products, are analyzed using standard or validated analytical methods. Analytical methods used in analyzing active pharmaceutical ingredients or final products in the pharmaceutical industry can be methods registered in pharmacopeias and developed by the company itself. For this reason, published papers related to pharmaceutical analysis attract analysts and researchers' attention. In this study, pharmaceutical analysis and bioanalysis studies carried out between 2015 and 2023 were examined using Google Scholar, and the recent trends were determined for pharmaceutical analysis. Among the published papers performing conventional analytical techniques for pharmaceutical analysis, those applying UV-VIS spectrophotometry method were selected to predict a future perspective in this study. In addition to the data obtained, the current situation of the pharmaceutical industry was considered to correlate with the obtained data for pharmaceutical analysis. The results were presented with comparative tables and summarizing graphs. Interpreting the results allowed us to determine the trends that pharmaceutical analysis studies will lead in the future. This study can be helpful for researchers working on pharmaceutical analysis in both the industry and academia to predict future trends in pharmaceutical analysis. As a result of the literature research covering the dates 2015-2023, 56% of UV-VIS Spectrophotometric methods are used on pharmaceutical dosage forms, 27% are bulk, 16% are pure, 2% are biological materials, and 0.4% are herbal. Made from materials. Of these studies, 28% were conducted in the 200-240 nm range, 27% were conducted in the 240-300 nm range, and only 44% were conducted at >300 nm. Interpreting the results allowed us to determine the trends that pharmaceutical analysis studies will lead in the future. This study can be helpful for researchers working on pharmaceutical analysis in both the industry and academy side to predict future trends for pharmaceutical analysis.

Pelatihan Pembuatan Foto Produk Menggunakan Kamera Handphone dan Peralatan Sederhana untuk Membantu Menaikkan Daya Pemasaran UMKM di Desa Karangtengah, Kecamatan Cepiring, Kabupaten Kendal

It is considering that the market has now switched to digital through the world of social media. Skills in attracting buyers and digital marketing need to be improved for Home Industry entrepreneurs to compete and survive in the industrial market. By providing training in product photo making, at least it can provide new insights and knowledge that good product photos do not have to be done with sophisticated equipment and in a luxurious studio. However, producing interesting product photos can be done with a simple photo trick, like using only a handphone camera that almost everyone has, minimal software application, and simple equipment that helps to improve the results later. After delivering the theory and direct experiments, it is hoped that the knowledge and skills gained will continue to be remembered, utilized, honed, and continuously developed by themselves. Trial and error using more advanced photo editing application software that is widely available on mobile devices today, both free and paid. In the end, making attractive product photos, of course, will become a good weapon and increase competition in marketing Home Industry products, and the goal is to attract many buyers.

Research on the Construction of a Blockchain-Based Industrial Product Full Life Cycle Information Traceability System

Research on the Construction of a Blockchain-Based Industrial Product Full Life Cycle Information Traceability System

Surface Engineering of Noble Metal Nanocrystals for Selective Hydrogenation

The selective hydrogenation has attracted increasing attention to chemists for the production of value‐added products in chemical industry. Over the past several decades, substantial effort has been devoted to the design of catalyst for the selective hydrogenation of light alkynes and α, β‐unsaturated aldehydes, two classic cases for selective hydrogenation in chemical industry. Despite the great progress, it remains great challenges to achieve the selective hydrogenation because the desired products are generally thermodynamically unfavored. Here, we summarize the recent advances on selective hydrogenation using noble metal nanocrystals, with an emphasis on the surface engineering of noble metal nanocrystals for the selective hydrogenation of light alkynes and α, β‐unsaturated aldehydes. We will highlight the strategies for surface engineering, the advanced techniques for characterizations, as well as mechanism studies. We hope this review will promote chemists to develop efficient and robust catalysts for selective hydrogenation.

A Review of Research on Networks of Modular Production

With the development of science and technology, the deep integration of products and technologies has made modularity in the field of industrial products has achieved good results, from IBM-360 computer to Volkswagen's MQB platform can be seen, in various industrial fields, the research and practice of modular production network has become one of the focuses of industrial upgrading. Based on the current research needs, the existing modularization literature is reviewed from three aspects: industrial modularization, industrial cluster modularization and modular production network.

Product Design Trends within the Footwear Industry: A Review

Computer technology influences the capability to enhance the functionality of manufacturing and product design technologies. Innovations in computational design and digital manufacturing empower designers and manufacturers to create novel representations and algorithms for designing, analyzing, and planning the production of highly complicated products achievable through state-of-the-art technology. Various principles, including computational physics, geometric reasoning, and automated spatial planning, enable engineers to generate entirely new categories of products in the footwear industry. This study aims to review the methods and tools that have been published in the literature for the last twenty years, and provide a better understanding of the parameters, tools, and controls that contribute to the design and manufacturing processes of shoes. The main focus is on highlighting the product design-related trends within the footwear industry. A structured framework becomes apparent in the literature through the grouping and presentation of information. This framework facilitates drawing conclusions about the trends and existing needs derived from in-depth research in the field of footwear. Additionally, it reveals the upcoming methods and tools that will contribute to the enhancement and development of this emerging and promising industry sector. In conclusion, the categorization limitation within the footwear industry could serve as the foundation for exploring key areas to be analyzed further in other industries, for instance, in furniture, clothing, and packaging.

Marine microalgae Schizochytrium demonstrates strong production of essential fatty acids in various cultivation conditions, advancing dietary self-sufficiency

IntroductionPolyunsaturated fatty acids (PUFAs) are essential nutrients that humans obtain from their diet, primarily through fish oil consumption. However, fish oil production is no longer sustainable. An alternative approach is to produce PUFAs through marine microalgae. Despite the potential of algae strains to accumulate high concentrations of PUFAs, including essential fatty acids (EFAs), many aspects of PUFA production by microalgae remain unexplored and their current production outputs are frequently suboptimal.MethodsIn this study, we optimized biomass and selected ω-3 PUFAs production in two strains of algae, Schizochytrium marinum AN-4 and Schizochytrium limacinum CO3H. We examined a broad range of cultivation conditions, including pH, temperature, stirring intensity, nutrient concentrations, and their combinations.ResultsWe found that both strains grew well at low pH levels (4.5), which could reduce bacterial contamination and facilitate the use of industrial waste products as substrate supplements. Intensive stirring was necessary for rapid biomass accumulation but caused cell disruption during lipid accumulation. Docosahexaenoic acid (DHA) yield was independent of cultivation temperature within a range of 28–34°C. We also achieved high cell densities (up to 9 g/L) and stable DHA production (average around 0.1 g/L/d) under diverse conditions and nutrient concentrations, with minimal nutrients required for stable production including standard sea salt, glucose or glycerol, and yeast extract.DiscussionOur findings demonstrate the potential of Schizochytrium strains to boost industrial-scale PUFA production and make it more economically viable. Additionally, these results may pave the way for smaller-scale production of essential fatty acids in a domestic setting. The development of a new minimal culturing medium with reduced ionic strength and antibacterial pH could further enhance the feasibility of this approach.

Photovoltaic Manufacturing Factories and Industrial Site Environmental Impact Assessment

Life cycle inventories (LCIs) and life cycle assessments (LCAs) of photovoltaic (PV) modules and their components focus on the operations of PV factories, but the factories and industrial site product and construction stages are either not or only partially tackled. This work contributes through the bottom-up, model-based generation of LCIs and LCAs for setting up a vertically integrated 5 GWp/a PV industrial site, including the manufacturing of silicon ingots, wafers, solar cells, and PV modules, on a 50 ha greenfield location. Two comparative LCAs are performed. The first compares the annualized environmental impacts of the developed LCI sets with four existing inventories in the Ecoinvent v3.8 database. The second comparative LCA explores the environmental impact differences concerning the industrial site when using different building systems for the factories. Here, the reference system with a steel structure is compared with two alternative building systems: precast concrete and structural timber. The results show that the wafer, cell, and module factories’ annualized environmental impacts with the Ecoinvent LCIs are strongly overestimated. For the ingot factory, the opposite result is identified. The impacts of all four factories show reductions of between 11.7% and 94.3% for 14 of the 15 impact categories. High mean environmental impact shares of 79.0%, 78.2% and 79.2% for the steel, precast concrete and timber structural building systems, respectively, are generated at the product stage. The process and facilities equipment generates 54.2%, 54.4% and 58.2% of the total product and construction stages’ mean environmental impact shares. The proposed alternative timber building system reduces the environmental impacts in 14 of the 15 evaluated categories, with reductions ranging from 1.1% to 12.4%.

Upcycling Food Waste into Biomaterials Applicable to Medical Products

Globally, an estimated 1.3 billion tons of food are wasted each year, according to a report from the Food and Agriculture Organization of the United Nations. A variety of waste streams constantly generate large amounts of food waste that end up in landfills. As food waste is left to naturally decay in landfills, it emits greenhouse gases that pollute the environment and induce climate change. However, most types of food waste contain valuable components that can be extracted to manufacture industrial products. Therefore, instead of abandoning food waste to decay and harm the environment, there is an alternative to upcycle it as a new raw materials supply source. This review provides a comprehensive update on how environmental sustainability can be improved using diverse types of food waste as sources to generate biomaterials for fabricating medical products, including lignin, cellulose, chitosan, pectin, collagen, hydroxyapatite, and biodegradable polymers. The review also highlights biochemical technologies applied for extracting useful components from food waste and details the current advances for developing medical products, including wound dressings and nanoparticles for tissue engineering and drug delivery.

Five journeys from nanotechnology research to successful products in the water industry

Five journeys from nanotechnology research to successful products in the water industry

A Case Study on Input–Output Analysis in the Defense Industry

Recently, the defense budget, which includes the cost of purchasing weapons, has continuously and significantly increased in South Korea. This increase, which is entirely financed by the government, has raised the issue of the socioeconomic impacts of spending on the defense industry in areas, such as production, added value and job creation. In this regard, it is necessary to more accurately measure the impact of spending on the defense industry on domestic industry, but the Bank of Korea’s industry inducement coefficient, which measures industrial spillovers, is quite limited in measuring the industry inducement impact caused by weapon production. Therefore, this study explores how to estimate the industry inducement coefficient of the production of a specific weapon by utilising the current Bank of Korea input–output table, which is focused on private industry, and applies this methodology to the estimation of the input–output coefficient of the production of a specific weapon. As a result of the analysis, the input–output coefficient of a specific weapon was estimated to be approximately 1.18 times higher than that of the products of similar industries in the private sector in terms of production, 1.03 times higher in terms of value-added and 1.03 times higher in terms of employment. This suggests that the effect of fostering domestic industry through weapon production is somewhat greater than that of private industry and proves the efficacy of government investment in this sector.

Spatial-Temporal Patterns and Driving Factors of Logistics Carbon Emissions: Case Study of Yangtze River Delta in China

With the growing dependence of human beings on the logistics industry, the trend of logistics carbon emissions (LCEs) growth has become much more serious. To investigate the spatial-temporal pattern of LCEs as well as their driving factors, city-scale LCEs were calculated by combining them with nighttime light remote sensing data. In addition, a spatial panel data model was applied in the case of China’s Yangtze River Delta. The results showed that the overall LCEs performed as a rising trend during 2010–2019. The LCEs of the eastern cities and provincial capitals were significantly higher than those of other cities with obvious spatial agglomerations. For driving factors, the gross domestic product, population size, and proportion of tertiary industry all had significant positive influences on the LCEs. Overall, this study is of great practical significance to accurately obtain information on the spatial-temporal dynamics of LCEs at the city-level scale, so as to facilitate the differentiated implementation of carbon reduction measures.

Effect of Pea Shell Powder on Chemical, Sensory and Cooking Quality of Macaroni

Background: This research looks at putting pea shells, a byproduct of pea processing, into macaroni to improve nutrition and sustainability. It aims to emphasize the feasibility and benefits of utilizing pea shells in popular cuisines by investigating their nutritional profile and sensory characteristics. This study addresses waste and nutrient-deficient packaged foods by exploring the synergy of culinary innovation and sustainability. Utilizing phyto-nutrient-rich by-products from fruits and vegetables, it proposes enhancing products like macaroni, noodles, cakes, biscuits and soups for a healthier and more environmentally sustainable future. Methods: Studied how adding pea shell powder (10-30%) affected the chemical, sensory and cooking quality of four macaroni types, comparing them to a control group without pea shell powder. Result: Macaroni with pea shell powder excelled in color, appearance and taste. Type I (10%) showed superior sensory attributes, while Type III (30%) lagged, impacting overall acceptability. Furthermore, cooking performance analysis indicated that the inclusion of pea shell powder influenced cooking time (16.45-11.48 minutes), water absorption capacity (106-160 g/100 g) and cooking loss (14.3-4.89 g/100 g). The pea shell powder incorporation enhances the nutritional profile of macaroni, including significantly increased protein (8.57-12.64%), dietary fibers, minerals and decreased fat, carbohydrate and energy (370.4-206.66 kcal/100 g) content. Calcium, magnesium, iron and potassium contents were significantly higher in value-added macaroni than in the control. The quality analysis clearly showed that value addition improves the nutrition and taste of macaroni, which indicates potential premium macaroni products for the food industry and healthy alternatives for consumers.

Mechanistic and predictive studies on the oxidation of furans by cytochrome P450: A DFT study

Furan-containing compounds distribute widely in food, herbal medicines, industrial synthetic products, and environmental media. These compounds can undergo oxidative metabolism catalyzed by cytochrome P450 enzymes (CYP450) within organisms, which may produce reactive products, possibly reacting with biomolecules to induce toxic effects. In this work, we performed DFT calculations to investigate the CYP450-mediated metabolic mechanism of furan-ring oxidation using 2-methylfuran as a model substrate, meanwhile, we studied the regioselective competition of another hydroxylation reaction involving methyl group of 2-methylfuran. As a result, we found the toxicological-relevant cis-enedione product can be produced from O-addition directly via a concerted manner without formation of an epoxide intermediate as traditionally believed. Moreover, our calculations demonstrate the kinetic and thermodynamic feasibility of both furan-ring oxidation and methyl hydroxylation pathways, although the former pathway is a bit more favorable. We then constructed a linear model to predict the rate-limiting activation energies (ΔE*) of O-addition with 11 diverse furan substates based on their adiabatic ionization potentials (AIPs) and condensation Fukui functions (CFFs). The results show a good predictive ability (R2=0.94, Q2CV=0.87). Therefore, AIP and CFF with clear physichem meanings relevant to the mechanism, emerge as pivotal molecular descriptors to enable the fast prediction of furan-ring oxidation reactivities for quick insight into the toxicological risk of furans, using just ground-state calculations.

An industrial product surface anomaly detection method based on masked image modeling

ABSTRACT Current unsupervised industrial product surface anomaly detection methods suffer from poor reconstructed image quality and difficulty in detecting low-contrast anomalies, resulting in low anomaly detection accuracy. To address the above problems, we propose an unsupervised masked hybrid convolutional Transformer anomaly detection model, which forces the model to predict missing or edited regions based on unmasked information by introducing a mask reconstruction strategy, and utilises convolutional blocks and Transformer self-attention mechanism to extract the local features and global context of the image at different resolutions, enhancing the model’s ability to understand the interrelationships among image parts and the overall structure. information to enhance the model’s ability to understand the interrelationships between image parts and the overall structure, and to improve the reconstruction ability of the model; then a method based on Gaussian difference significance is proposed, which is combined with gradient magnitude similarity and colour difference to compare the differences between reconstructed and original images from multiple perspectives, and to improve the anomaly localisation performance of the model. We conducted extensive experiments on the industrial datasets MVTec AD and MTD to validate the effectiveness of the proposed method.

Characteristics of Anthropogenic Pollution in the Atmospheric Air of South-Western Svalbard (Hornsund, Spring 2019)

The character of atmospheric pollution and its impact on surface waters may vary substantially in space, and hence, we add a potentially important location for the studies of atmospheric air pollution to the map of the High Arctic. We have investigated the anthropogenic particle characteristics and selected persistent organic pollutant concentrations, in a priorly unmonitored location in the Arctic (Svalbard), exposed to a climatic gradient. Single-particle analysis of PM indicates that besides the prevailing natural aerosol particles, anthropogenic ones were present. The likely anthropogenic origin of some particles was established for spherical Fe-rich or aluminosilicate particles formed in high-temperature processes or metal-rich particles of the chemical composition corresponding to industrial products and atypical for natural minerals; soot, tar balls, and secondary sulfate were also likely of anthropogenic origin. Some of the observed anthropogenic particles could only come from remote industrial sources. POP concentrations indicated a background of LRAT, consistent with the ΣPCB concentrations and volatility profile. However, the ΣDDX composition indicating aged sources and an order of magnitude higher concentrations of both ΣDDXs and ΣHCHs than at other High Arctic monitoring stations indicate their potential source in two types of re-emission from secondary sources, i.e., from seawater and snowpack, respectively.

Flexible, Photonic Films of Surfactant‐Functionalized Cellulose Nanocrystals for Pressure and Humidity Sensing

Most paints contain pigments that absorb light and fade over time. A robust alternative can be found in nature, where structural coloration arises from the interference of light with submicron features. Plant‐derived, cellulose nanocrystals (CNCs) mimic these features by self‐assembling into a cholesteric liquid crystal that exhibits structural coloration when dried. While much research has been done on CNCs in aqueous solutions, less is known about transferring CNCs to apolar solvents that are widely employed in paints. This study uses a common surfactant in agricultural and industrial products to suspend CNCs in toluene . Surprisingly, a stable liquid crystal phase is formed within hours, even with concentrations of up to 50 wt%. Evaporating the apolar CNC suspensions results in photonic films with peak wavelengths ranging from 660 to 920 nm. The resulting flexible films have variable mechanical properties with surfactant content, allowing for an optical response with applied force. The films also act as humidity sensors, with increasing relative humidity swelling the films, yielding a redshift in the reflected wavelength. With the addition of a single surfactant, CNCs can be made compatible with existing production methods of industrial coatings, while improving the strength and responsiveness of structurally colored films to external stimuli.

Peramalan Produk Domestik Bruto (PDB) Industri Furnitur di Indonesia Menggunakan Metode Double Exponential Smoothing-Holt

Furniture raw materials are still a major challenge in the industry, in line with the wishes of consumers to get good quality raw materials and soaring export demand, so there is a need for a control process to monitor the value of products using forecasting. The purpose of this study was to predict gross domestic product in the furniture industry in Indonesia in 2022. This study used secondary data on the quarterly trend of gross domestic product in the furniture industry in Indonesia 2010-2021 taken from the research industry data processed by BPS and Bank Indonesia, The method used is Double Exponential Smoothing-Holt. The results of the calculation using the double exponential smoothing-holt method obtained a value of α of 0.658 and β of 0.008 where the forecasting results for the 2022 period, namely the 1 quarter of 7.602 billion rupiah, quarter 2 of 7.676 billion rupiah, quarter 3 of 7.749 billion rupiah, and quarter 4 of 7.822 billion rupiah. Where the MAPE value is 0.737% which means forecasting has very good results.

Risks and Countermeasures of Internet Consumer Financial Asset Securitization: A Case Study of Jingdong Baitiao

Asset securitization is one of the most important innovations in the financial field in recent decades. The introduction of this financial instrument enables commercial banks to have both functions as "fund lenders" and "fund sellers". JD Baitiao is the product of asset securitization and is the first Internet credit consumption product in Chinese industry. Due to the huge demand in the credit market, it has been popular among users since its establishment in 2014. We will give a basic introduction to of JD and JD financial asset securitization: the development process and an introduction to the fundamentals of the whole company, including the background of the development of JD Baitiao in financial aspect, as well as the benefits of its appearance in stimulating consumption by users on JDs platform. We further provide an analysis of the JD Baitiao, including its background, transaction process, asset pool composition, and credit enhancement arrangement. issuance, pricing, to trading, also with its quota application, repayment forms, as well as its risk control system for users. Next, through data and chart analysis, we analyze the various aspects of the securitization risks. Last, based on our analysis, we recommend several ways to improve issuance efficiency and risk management capabilities.