Environment-friendly Products Research Articles

Chromatography affinity resin with photosynthetically-sourced protein A ligand

Green, photosynthesizing plants can be proficiently used as cost-effective, single-use, fully biodegradable bioreactors for environmentally-friendly production of a variety of valuable recombinant proteins. Being near-infinitely scalable and most energy-efficient in generating biomass, plants represent profoundly valid alternatives to conventionally used stationary fermenters. To validate this, we produced a plastome-engineered tobacco bioreactor line expressing a recombinant variant of the protein A from Staphylococcus aureus, an affinity ligand widely useful in antibody purification processes, reaching accumulation levels up to ~ 250 mg per 1 kg of fresh leaf biomass. Chromatography resin manufactured from photosynthetically-sourced recombinant protein A ligand conjugated to agarose beads demonstrated the innate pH-driven ability to bind and elute IgG-type antibodies and allowed one-step efficient purification of functional monoclonal antibodies from the supernatants of the producing hybridomas. The results of this study emphasize the versatility of plant-based recombinant protein production and illustrate its vast potential in reducing the cost of diverse biotechnological applications, particularly the downstream processing and purification of monoclonal antibodies.

IFRS, financial development and pollutant emissions: an empirical analysis of developed and developing countries

PurposeThe purpose of this study is to examine the relationship between pollutant emissions, financial development and IFRS in developed and developing countries between 1998 and 2022.Design/methodology/approachData were obtained from World Development Indicators and World Governance Indicators of the World Bank.FindingsUsing FGLS and GMM estimators, the results provide evidence that financial development has a significant positive impact on a variety of pollutant emissions. However, this positive impact is moderated by IFRS for the overall sample and country income groups.Practical implicationsGovernments and regulatory organizations should support companies’ investments in clean energy and technologies to slow down environmental degradation. Tax credits and subsidies may be helpful to achieve this goal. Also, governments may encourage companies to cooperate with universities and research institutions to develop environment-friendly production and distribution methods to reduce pollution. Although stakeholders may obtain information about environmental issues in financial statements that are prepared in accordance with IFRS, there is a need for standardization of their contents.Social implicationsGreenhouse gases are major contributors to climate change and global warming. In addition to private costs borne by producers, the production and consumption of products have social costs arising from pollution that affects air, water, and soil. Pollution adversely affects people's physiological and psychological health, which decreases labor productivity, thereby leading to a decrease in economic growth. Originality/valueAccording to the author’s knowledge, this is the first study that examines the impact of IFRS on the relationship between financial development and pollutant emissions.

Implementation of blockchain – IoT-based integrated architecture in green supply chain

PurposeDigital supply chains require nascent technologies like blockchain and Internet of Things (IoT). There is a need to develop a roadmap for the implementation of these technologies, as they require a huge amount of resources and infrastructure. The purpose of this paper is to analyze the challenges of implementing blockchain-IoT integrated architecture in the green supply chain and develop strategies for the same.Design/methodology/approachAfter a thorough literature survey of Scopus-indexed journals and books, 37 barriers were identified, which were then brought down to 15 barriers after confirming with industry and academic experts using the Delphi method. Using the total interpretive structural modeling (TISM) method and cross-impact matrix multiplication applied to classification (MICMAC) analysis, the barriers were modeled, and finally, strategies were formulated using a concept map to handle the barriers in the blockchain-IoT integrated architecture for a green supply chain.FindingsThis paper presents the research on barriers that can be considered for incorporating blockchain and IoT in the green supply chain. It was found from the TISM model that environmental concerns are Level-1 barriers and need to be addressed by developing appropriate technology and allocating funds for the same. An integrated ecosystem with blockchain and IoT is developed.Research limitations/implicationsThe focus of this study was on the challenges of blockchain and IoT; hence, it is required to extend the research and find challenges for different industries and also analyze the criteria using other multi-criteria decision-making (MCDM) methods. Further research is required for the integration of blockchain-IoT with supply chain functions.Practical implicationsThe transformation of a traditional supply chain into a green supply chain is possible with the integration of technologies. This research work and the strategies developed are useful to managers and practitioners working on technology implementation. Planning resources and addressing key barriers is possible with the concept maps and architecture developed.Social implicationsGreen supply chain management (SCM) is gaining importance in industry as well as the academic sector due to government Policies and norms worldwide for reducing emissions and encouraging environment-friendly production systems. Incorporating blockchain and IoT in a green supply chain will further digitize and increase transparency in supply chains.Originality/valueWe have done a categorization of all barriers based on the expert survey by academicians and industry experts from industries in India. The concept map helps in identifying possible solutions for the challenges and initiatives to be taken for the smooth integration of technologies in the green supply chain.

Greener approaches to improve phenolic acid composition and antioxidant activity of different cultivation methods of Zingiber officinale Roscoe extracts

Zingiber officinale Roscoe, known as ginger (Bentong variety), is an essential spice ingredient used in food and condiments due to its refreshing aroma and intense flavour. The bioactive constituents found in ginger influence the numerous pharmacological effects, including antioxidant, analgesic, anticancer, antipyretic and anti-inflammatory. This work proposed a greener approach than the conventional plant matrices extraction to promote safe, non-toxic, and environment-friendly products. In this study, three different extraction methods: a) water (WE), b) hydrothermal-assisted (HAE) and c) enzymaticassisted (EAE), have been applied to measure the potential of both ginger extracts from different cultivation methods using fertigation technology and conventionally slopegrown. To ascertain the biological content of the extracts, the phenolic acid composition was quantified using ultra-performance liquid chromatography (UPLC). The total phenolic content (TPC) was determined using the Folin-Ciocalteu method, while the antioxidant activities were analysed using ferric reducing antioxidant power (FRAP) and 2,2-diphenyl-1-picrylhydrazyl (DPPH) free radical scavenging assay. The results obtained showed that ferulic acid was significantly highest in EAE extracts of both ginger (fertigation and slope-grown cultivation) at 1.165±0.118 and 0.610±0.062 mg/g. Moreover, EAE of both ginger extracts also found to be significantly highest in TPC (267.481±0.404 mg GAE/g and 247.837±1.675 mg GAE/g), and FRAP value (741.867±2.139 mg AAE/g and 461.733±0.231 mg AAE/g), respectively. However, the highest free radical scavenging activity of fertigated ginger extract through HAE was 134.735±0.021 mg AAE/g. Meanwhile, EAE of the sloped-grown ginger extract was highest at 141.293±0.707 mg AAE/g. This study demonstrates that EAE can be an effective approach in enhancing the TPC and antioxidant activity of ginger extracts. Ginger may therefore be suggested as a more greener and natural antioxidant to lessen oxidation in food products.

Explore the intention to use environmental friendly products of young people in Ho Chi Minh City through expanding the theory of planned behavior

Environmental sustainability is one of the key factors for socio-economic preservation and development. This depends a lot on consumer behavior in modern society. The main purpose of the research is to explore the factors that influence the consumption behavior of environmentally friendly products among young people. This study has expanded the Theory of Planned Behavior (TPB) by two antecedent factors determining consumer attitudes toward environmentally friendly products: green perceived value and environmental knowledge. Empirical research was conducted on young people (gen Z) to gain a better understanding of their green consumption behavioral intentions. Qualitative research methods have proposed theoretical models, corrected scales and quantitative research have provided to test measurement models and theoretical models. The findings show that the green perceived value scale is a multidimensional scale and the scales in the research model are confirmed to be valid and have high measurement reliability. Besides, testing the research model using Structural Equation Modeling (SEM) also confirmed that the two expanded factors of the TPB model (green perceived value and environmental knowledge) have a positive impact on green consumption attitude and green consumption attitude is also the factor that has the strongest impact on young people's green consumption intention. In addition, the factors subjective norm and perceived behavioral control are also confirmed to have a positive impact on green consumption intention.

Green Nanotechnology Based Sustainable Energy Solutions and Environmental Impacts

This study focuses on the possible transformative effects that green nanotechnology has in the healthy energy applications and the repression of nature`s negative impacts. By means of environmentallyfriendly production of these nanomaterials, including silver nanoparticles (AgNPs) and quantum dots, the current research produced the marked increase in efficiency of solar cells, with a jump to 53% in efficiency compared to traditional solar cells. Moreover, the dopping of lithium-ion cells with silicon nanoparticles brought about a great enhancement, exhibiting a 50% specific capacity progress contrasted with the batteries that continued traditional anodes. Hence, these excellent findings demonstrate the effectiveness of nanotechnology in transforming energy that gathers and holds technology. The paper did an LCA that entailed a detailed analysis of the life cycle of green nanomaterials in order to measure the impact on the environment. The analysis presented by the LCA indicated the application of alternative materials that resulted in a significant reduction of GHG’s (32%), energy of 33%, and In TP of 37%) in comparison with conventional ones. This highlights the sustainability gains that will be obvious by the use of green nanotechnology as a technology of choice, in energy applications. The findings provide numerous beneficial principles for development of green technologies.

Surface-Immobilized ZnNx Sites as High-Performance Catalysts for Continuous Flow Knoevenagel Condensation in Water.

By immobilizing the metal complex on the substrate surface, our previous results have demonstrated that heterogeneous catalysts with well-dispersed active MNC (metal-nitrogen-carbon) sites can be prepared in a rational and efficient manner. In this study, we employed agarose aerogel (AA) as the substrate to illustrate a straightforward strategy for immobilizing ZnNx sites on the surface. Under relatively low temperatures, the amine group of the ligand condenses with the surface carbonyl group generated in situ, resulting in the surface immobilized Zn sites. This can be supported by the IR, PXRD, and XPS data. Comprehensive characterization methods, including synchrotron powder XRD and spherical aberration-corrected TEM, confirmed the absence of ZnNx site aggregation in the surface immobilization process, even with a high Zn content (up to 8 wt %). The immobilized ZnNx sites exhibited high catalytic performance in Knoevenagel condensation, and α,β-unsaturated compounds were obtained with high yield in both batch and continuous flow reactions. AA-ZnNx-200 showed the best catalytic activity, which was processed under 200 °C with a Zn content of 4.62 wt %. The immobilized ZnNx sites activated both the aldehyde and nitrile substrates, which were quantitatively converted into the corresponding α,β-unsaturated compounds, with water as the solvent at room temperature. In continuous flow reaction conditions, a conversion rate up to 99% can be achieved with malononitrile. This heterogeneous catalyst can be facilely produced with quantitative yield in a large scale from cheap starting material under mild conditions. No catalyst deactivation was observed after seven batch reaction cycles or 80 h of continuous flow reaction, indicating its high robustness under catalytic reaction conditions. This catalyst enables a separation-free, energy-saving, and environment-friendly production process, offering a practical way for the industrial production.

A deep reinforcement learning based algorithm for a distributed precast concrete production scheduling

The environmental-friendly production demands higher manufacturing efficiency and lower energy cost; therefore, time-of-use electricity price constraint and distributed production have attracted more attention. For concrete precast architecture construction, the tardiness penalty and warehouse cost cannot be ignored, which should be optimized for lower cost. In this study, the concrete precast process is investigated as the group scheduling of a distributed flexible job shop problem. Each concrete precast is managed in a group, the setup time between different groups is considered. Two objectives, total weighted earliness and tardiness and total time-of-use electricity cost are minimized, simultaneously. To solve the integrated problem, three coordinated double deep Q-networks (DQN) are applied, which are organized as a learn-to-improve reinforcement learning approach. For distributed scheduling problem, operators in a single factory or in multiple factories differs in solution improvement; so selection DQN is designed to decide the type of the operators according to scheduling circumstances. Other two DQNs, i.e., local DQN and global DQN, are to select the optimization operators in one factory or in multiple factories, respectively. Furthermore, two solution refinement strategies are designed to decrease the objectives after reinforcement learning component. Numerical experiment and statistical analysis suggest that the proposed deep reinforcement learning based algorithm has superiority in solving the considered problem.

Comparison of stearic acid and oleic acid for shrinkage-mitigating of alkali-activated slag composites

The large drying shrinkage is one of the most serious factors limiting the practical application of alkali-activated slag concrete (AASC). In this study, based on the successful shrinkage reduction of waste cooking oil for alkali-activated slag paste (AASP), the influence of stearic acid (saturated fatty acids) and oleic acid (unsaturated fatty acids) on fresh properties (setting time and fluidity), physical characteristics (density and water absorption), mechanical strengths (flexural strength and compressive strength), and durability (drying shrinkage, self-shrinkage, and carbonation resistance) are systematically compared. The experimental results reveal that admixing stearic acid and oleic acid can effectively inhibit the drying shrinkage and self-shrinkage of the AASP. Specifically, adding 1 wt% stearic acid (oleic acid) can reduce the drying shrinkage of the AASP by 20% (25%) and self-shrinkage by 32% (55%), respectively. Remarkably, the combined usage of the two additives can maximize the performance of the AASP, such as obtaining satisfactory mechanical strengths, extending the initial setting time, and improving the carbonation resistance. The developed AASP can be regarded as a low-cost and environmentally-friendly product, which can promote practical applications of AASC.

The Quantification of Carbon Footprints in the Agri-Food Sector and Future Trends for Carbon Sequestration: A Systematic Literature Review

The growing need for mitigation of GHG emissions generated by the agri-food sector and the production of sufficient, quality food for the growing population, play a prominent role in the planning of global policies and economies. The determination of damaging practices to be reviewed or avoided is achieved by quantifying their Carbon Footprint (CF). With respect to these needs, our research area is the available literature analysing the CF of agri-food products from a life cycle perspective. The reduced availability of studies using this approach results in the lack of a solid basis for the agri-food sector to make a change from in production processes. Quantifying CFs offers the opportunity to act at the most impactful stages of a product’s life cycle. In addition to producing products sustainably, it would allow operators in the sector to integrate additional sources of income, through, for instance, participation in the voluntary carbon market or simply by obtaining a premium price for environmental friendly products. The main objective of the study is therefore to understand how the literature deals with the quantification of food CFs, which methodologies it adopts and what insights it provides for future studies that can help policy makers and the sector in question. The review was conducted by applying the PRISMA methodology, which offers guidelines for proper data collection in a literature review. For this purpose, the search was conducted on the Scopus and Web of Science databases. The literature considered highlighted an important historical path in the world of international CF standards with the transition from the ISO/TS 14067 technical specification to the ISO 14067 international standard. However, the range of products analysed is small and no comparative studies on the results obtained by different standards were found. Again, the literature on the subject does not take into account consumer perceptions of low-carbon products nor the economic perspectives of operators. The information we have obtained from our study provides a solid basis for future research, which should focus on increasing the number of agri-food products analysed and examining which parts of the production cycle need improvement. This also opens the door to future research scenarios concerning possible alternative sources of income for those who produce in a carbon-neutral manner and the benefits for consumers willing to buy them.

Impact of Traditional Environmental Management Measures and Ecological Product Diversification on MSME Performance: Evidence of the Batik Industry in Central Java, Indonesia

Research aims: This research aims to investigate the influence of traditional environmental management practices on corporate performance and determine the mediating role of ecological product diversification in this regard.Design/Methodology/Approach: To achieve these objectives, a research design was developed and tested using a sample of 138 micro, small and medium enterprises (MSMEs) operating in the batik industry in Central Java, Indonesia. Observation data were then analyzed using Structural Equation Modeling (SEM) utilizing Amos software.Research findings: The analysis results demonstrated that traditional environmental management and ecological product diversification had a direct positive impact on the performance of small and medium enterprises. However, these results did not confirm the mediating role of ecological product diversification.Theoretical contribution/Originality: This study provides convincing evidence regarding the impact of environmentally friendly product diversification on MSME performance. Therefore, MSMEs, especially those operating in the batik industry, are encouraged to diversify environmentally friendly products to increase competitiveness and adapt to people's concern for the environment in the current era (green economy). Practitioners/Policy implications: It is acknowledged that the overall results obtained from this research provide a significant contribution to the understanding of the importance of environmental management practices and environmentally-friendly product diversification to increase business efficiency in the context of MSMEs.Research limitations/Implications: This study had a limited scope and only covered the Central Java region. Subsequent research can further expand the scope of the research field.

Polymeric Fiber based Composite Coatings

Abstract: Environmental friendly products are becoming popular and acceptable in industries due to the global limitation to the amount of volatile organic compounds (VOCs) released into the atmosphere. Low VOC compounds and technologies are also becoming a choice in the coatings and paint industry. Coatings can be made from water or solvent. In coatings from water, we use water as the solvent, therefore coating called waterbased coating and in the case of solvent-borne coatings, we used organic or inorganic compounds as solvents, therefore this coating called as solvent borne coating. Among all different types of solvents water is the greatest choice among these low VOC technologies for usage as a solvent to manufacture chemical compounds and Paints and coatings. because water is often recognized as a low-cost, safe, non-toxic, easily availabl sand ecologically friendly solvent. Also nanomaterials is new field in research and development of material science field. Materials can be one dimensional such as small paricles, materilas can be two dimensional such as fibers. Therefore in two-dimensional materials such as fibers ( micro and nanofibers) use in many different applications such as medical, composites, aerospace, Bulding constructions etc. Nanofiber has the advantage of high surface area to volume ratio hence to decrease the coating defects. micro and nanofibers should be incorporated inside the coating matrix. This way one can improve the properties of waterbased coatings. Hence low VOC solvent water with high surface area fiber is becoming a trend in composite coating and nanotechnology in fibers. This review provides information on Composite coatings, distinct fibers used in coatings and their applications, effects of different sizes of fibers such as micro and nanofibers on coatings

Earth Air Thermoelectric Generators

This study analyzes and examines the Earth-Air Thermoelectricity Generator (TTEJ), which works with earth temperature and is recommended to be used peculiarly in safety systems, both theoretically and experientially. To examine how TTEJ functions in natural conditions, temperatures at the soil depth and soil surface were equal to the length of the generator, and ΔT temperature differences were measured and modeled throughout four seasons in five different precincts in Ankara. To create the environment to measure and analyze how TTEJ functions in natural conditions, in addition to the standard TEJ theory, to design a thermoelectric earth-air generator or to calculate its parameters, a mathematical model of TTEJ is created by embodying both thermic processes and the thermoelectric generator that functions conveniently for these processes. The thermoelectric parameters such as power P(W) produced by the generator based on T, resistance U(V), and current I(A) are calculated using a custom experiment mechanism built specifically for this research, and the results are compared to theoretical results. The outcome of theoretical and experimental results is congruence. The custom earth-air generator that is created as a model implementation can provide a reliable safety system that is presented and detected. Thus, it is concluded that without any requirements for an electricity cable, it is possible to create a system that can work via TTEJ by generating electricity with the help of the earth's temperature in the event of a property violation or other security-related issue and notifying the security units. Also, it is predicted that, as an innovative and environment-friendly product, TTEJ will be used in various fields of work, especially in military applications.

Knowledge Management in the Ecolabnet Project: Practical and Theoretical Utilisation of Eco-innovations

The underlying objective of the paper is to analyse the process of managing theoretical and practical knowledge about eco-innovations, utilising it in ECOLABNET project. A network of project partners consisting of RDI institutions, Intermediary Organisations, and universities was established to promote exchange and dissemination of knowledge on eco-innovative solutions and services among Small and Medium-Sized Enterprises (SMEs) in the countries of the Baltic Sea Region. The paper presented the principles applied in the knowledge management (KM) process within the project with a particular stress on the research conducted on the group of European SMEs form the Baltic Sea Region (BSR), first stage of ECOLABNET project implementation. The research provided much needed knowledge on the project’s beneficiaries – SMEs form the BSR region and facilitated the adjustment of the offer of the project consortium. Expert knowledge, eco-innovative products and services that have been provided by the network of partners assist SMEs in implementing and commercialising eco-innovative solutions. In this way they significantly contribute to practical application of sustainability principles by expanding the offer of project beneficiaries (SMEs) with environmentally-friendly products and services.  In addition, the author also, highlights the advantages of a combined approach including expertise in the form of theoretical knowledge being supported by prototypes of eco-innovations. Their particular role in strengthening the eco-innovative capabilities of the entire network and the overall success of the project have been detailed as well.

Platinum Single-Atom catalysts confined in NH2-UIO-66 for highly selective oxygen reduction reaction

The electrochemical synthesis of hydrogen peroxide via the two-electron oxygen reduction reaction (2e–ORR) offers a green and environment-friendly production method. Here, Pt single-atom catalyst confined in NH2-UIO-66 was successfully prepared by glow discharge plasma at room temperature, and it was used for the 2e–ORR. The plasma treated sample exhibited a high H2O2 selectivity of 99.86%, surpassing that of the samples prepared by calcination and chemical reduction methods. NH2-UIO-66 inhibits the growth of Pt particles and improves Pt dispersion. Plasma prevents Pt aggregation due to the low temperature and enhances the interaction between Pt and NH2-UIO-66 which leads to an outstanding electrocatalytic ORR. This work provides strategies towards single-atom catalysts through the confinement of metal–organic frameworks for electrocatalysis.

Electrocatalytic, Homogeneous Ammonia Oxidation in Water to Nitrate and Nitrite with a Copper Complex

Electrocatalytic ammonia oxidation (AO) at room temperature and pressure allows energy-economical and environmentally-friendly production of nitrites and nitrates. Few molecular catalysts, however, have been developed for this six- or eight-electron oxidation process. We now report [Cu(bipyalk)]+, a homogenous, earth-abundant metal electrocatalyst that realizes the title reaction in water. The complex selectively catalyzes the ammonia oxidation electrochemically at 94% Faradaic efficiency without generating the less-valuable N2 product commonly seen in molecular AO catalysis. Moreover, our complex is designed to not mediate water oxidation (WO), which is beneficial for high selectivity in AO in aqueous media. Initial mechanistic studies by electrochemistry propose monometallic catalysis and water or ammonia-nucleophilic attack for N–O bond formation. Figure 1

Consumer Product Label Usage in a Post-Pandemic World

Evidence suggests consumers actively seek environmentally-friendly products as public concern about the environment is growing worldwide. This study revisited earlier research of environmental labeling usage published over a decade ago. The current study compared environmental label usage between the original paper and post-pandemic consumer behavior. Survey results from a sample of 317 individuals indicated gender was not a predictor of label usage. The level of label usage (high versus low) was determined to be an effective predictor of environmental concern and behavior, as well as consumer involvement in environmental issues. Additionally, the current research indicated a preference by respondents for Internet news sources and social media rather than traditional news sources.

Separation of sulfur compounds from petroleum using hydrodesulfurization method to reduce SO2 emission: Process optimization and validation

Preparation of clean fuels from petroleum need decent removal of sulfur compounds from the petroleum which can be done using the well-known hydrodesulfurization (HDS) method. The removal of sulfur compounds from crude oil would be essential in order to control the emission of gas pollutants such as SO2. However, due to the complexity of the sulfur separation process, predictive modeling and computations are required to improve the separation efficiency. In this research, we have collected some experimental data for optimization of separation process. Each data point has four input features: temperature, pressure, initial sulfur content, and dose. On the other hand, the outputs included left sulfur amount in the feed, value of SO2 emission, and process cost ($). Adaboost technique integrated with three core models of DT, Lasso, and KNN is used for modeling. The models are tuned using LOA method on the available dataset, thereby the optimum models’ parameters were determined for the best fitting. For sulfur concentration and emission parameters, the ADA-DT technique is the best one among other methods, but for the HDS cost, the ADA-LASSO framework works the best. Using these models, the R2-score for outputs is, respectively, 0.940, 0.923, and 0.999. This work makes significant contributions by providing accurate predictive models that would enhance the understanding and optimization of sulfur separation process. These models pave the way for more efficient and environmentally-friendly production of clean fuels from petroleum, contributing to reduced gas pollutants emissions.

Controlled reprocessing of leucoxene concentrate for environmental friendly production of titanosilicate – An effective sorbent for strontium and cesium ions

An environmentally friendly synthesis procedure of titanosilicate with sitinakite structure from quartz-leucoxene concentrates processing products for effective sorption of strontium and cesium ions has been designed. The proposed method minimizes the environmental impact by controlling the acidity of waste waters and reuse of fluorammonium component in the technological process of enrichment (fluorination) of mineral raw materials. The sitinakite synthesis procedure excludes the stage of additional mechanical activation of quartz-leucoxene concentrate using complex and energy-consuming equipment. The precipitate composition and formation of SiO2-TiOn complex aggregates is controlled through step-by-step hydrolysis of dissolved forms of compounds. The new approach reduces sitinakite synthesis temperature and allows regulating composition, crystallinity and sorption properties of titanosilicate. The sorption capacity of the obtained sitinakite by Sr2+ and Cs+ cations is 120 and 170 mg/g, respectively, and does not decrease when its crystallinity changes.

THE INFLUENCE OF CONSUMER KNOWLEDGE, TRUST, AND MOTIVATION ON THE INTENTION TO BUY ENVIRONMENTALLY FRIENDLY PRODUCTS

The purpose of this study was to determine how "The Influence of Knowledge, Trust and Motivation of Consumers on Purchase Intention of Environmentally Friendly Products (Survey on Ades Drink Consumers in Yogyakarta)". The technique used is non probability sampling using purposive sampling method. The sample size was 100 respondents by distributing questionnaires which were measured using a Likert scale. The results showed that knowledge had no significant positive effect on purchase intention for environmentally friendly products, but the factors of trust and motivation had a significant positive effect on purchase intention for environmentally friendly products in Yogyakarta.