Wastewater Reduction Research Articles

Highly Efficient Electrocatalytic Nitrate Reduction to Ammonia: Group VIII-Based Catalysts.

The accumulation of nitrates in the environment causes serious health and environmental problems. The electrochemical nitrate reduction reaction (e-NO3RR) has received attention for its ability to convert nitrate to value-added ammonia with renewable energy. The key to effective catalytic efficiency is the choice of materials. Group VIII-based catalysts demonstrate great potential for application in e-NO3RR because of their high activity, low cost, and good electron transfer capability. This review summarizes the Group VIII catalysts, including monatomic, bimetallic, oxides, phosphides, and other composites. On this basis, strategies to enhance the intrinsic activity of the catalysts through coordination environment modulation, synergistic effects, defect engineering and hybridization are discussed. Meanwhile, the ammonia recovery process is summarized. Finally, the current research status in this field is prospected and summarized. This review aims to realize the large-scale application of nitrate electrocatalytic reduction in industrial wastewater.

Optimizing RT-qPCR Detection of Enveloped and Non-enveloped Viruses in Wastewater: A Comparative Study in Grenada

Abstract Introduction/Objective Wastewater-based epidemiology (WBE) is an effective methodology to monitor the community spread of pathogens and has successfully been used to identify potential outbreaks. Most standardized methodologies used in WBE for the detection of viruses have been validated for non-enveloped viruses; therefore, there is a need for the development of a standardized protocol for the detection of both enveloped (such as SARS- CoV-2) and non-enveloped viruses (such as Hepatitis A). Wastewater seeded with Pseudomonas syringae bacteriophage (Φ6), an enveloped virus surrogate, and coliphage MS2, a non-enveloped virus surrogate, were used to evaluate the efficiency of four different aluminium flocculation methods. Untreated wastewater spiked with known amounts of surrogates was used as a control for viral recovery. Methods/Case Report Four different viral concentration methods were used. Method 1: AlCl3 flocculation at pH 3.5 followed by centrifugation, resuspension with 10% beef extract and filtered with a 0.22 μm filter. Method 2: AlCl3 flocculation at pH 6.0 followed by room temperature agitation, centrifugation, and resuspension with 3% beef extract. Method 3: Mixed method protocol-AlCl3 flocculation at pH 3.5 followed by room temperature agitation, centrifugation, resuspension with 3% beef extract. Method 4: Mixed method protocol-AlCl3 flocculation at pH 6.0 followed by centrifugation, resuspension with 10% beef extract filtered with a 0.22 μm filter. Viral RNA was extracted after concentration, and reverse-transcription quantitative polymerase chain reaction (RT- qPCR) was performed. Results (if a Case Study enter NA) The average Ct reduction of untreated wastewater compared to spiked was calculated for each method. The highest recovery of both Φ6 and MS2 was obtained using Method 3 (mixed protocol) with a significant difference at 95% confidence in the recovery of Φ6 (p= 0.0029) and MS2 (p= 0.0225). Conclusion Previous results from our lab demonstrate the importance of pH during the flocculation step of viral concentration using different methods of concentration. Here, the results suggest that the increased contact time between virus and the flocs is also critical. This can facilitate the implementation of WBE in Grenada to monitor and track potential viral outbreaks of both enveloped and non-enveloped viruses such as SARS-CoV-2 and Hepatitis A.

Automated Water Regulation Systems for Sustainable Management

Finding new ways to manage water resources becomes even more relevant today, as the growing demand for food globally combines with challenges like climate change and water scarcity. This research paper attempts to discover the automated water regulation systems that utilize advanced technologies like Artificial Intelligence (AI), the Internet of Things (IoT), and data interpretation to upgrade irrigation practices and boost sustainable resource management. By using sensors that keep the soil moisture and the environmental conditions in check, accurate modifications can be made to the irrigation being provided. Keeping a check can help reduce water wastage by up to 30% and increase crop yield by an average of 15%. This study amplifies the productivity of smart meters and the demand for AI-driven prediction models that are capable of providing accurate forecasts and real-time data, both of which are very necessary for efficient water management. However, there exist challenges like the question of data security, high initial costs, and user acceptance. These challenges need to be addressed to make sure that these systems are widely adopted. The considerable potential of the automated water management systems to promote sustainable practices in agriculture and to ensure food security when water scarcity is increasing are highlighted via the findings made in this paper. 1 This paper has been written after taking several research papers written by scholars and professors in this field. Taking into consideration their findings and observations, and incorporating personal observations and the potential results that can be applied, this paper is drafted to recommend practices that will help support vegetation and sustainable practices.

Analysis of Plant Watering Efficiency Using IoT Technology Controlled Through Google Assistant

This paper presents a systematic literature review (SLR) of 120 academic documents sourced from the Scopus database, which analyses the efficiency of crop watering systems utilizing Internet of Things (IoT) technology controlled via Google Assistant. The review explores key advances in IoT-based irrigation systems, highlighting how real-time data from sensors and voice-controlled automation improve water efficiency and user experience. The findings reveal that IoT systems can reduce water wastage by 25-30%, optimise plant health, and offer convenience through voice commands. However, challenges such as connectivity issues, high implementation costs, and system maintenance complexity also need to be addressed. This paper discusses potential future research directions, including scalability, AI integration, and cost-effective solutions to expand the adoption of these technologies in agriculture and horticulture.

Turbidity Removal from Sullage Wastewater Using Musa paradisiaca Peels as a Natural Coagulant

The use of inorganic commercial coagulants for water and wastewater clarification has been linked to the prevalence of human health and environmental issues. Natural coagulants are currently being explored as an alternative option for replacing synthetic coagulants. This present study, examines the use of Musa paradisiaca peels as a natural based coagulant for turbidity reduction in sullage wastewater. Musa paradisiaca peels, alum and blended were used in the study as coagulants for sullage wastewater clarification. The blended coagulant was prepared by combining the Alum and Musa paradisiaca peel powder in a ratio of 1:1. The sullage wastewater used in the study had an initial concentration of 151.8 NTU and was sourced within the University premises. The batch experimental procedure to examine the effectiveness of the natural coagulant was used. The study results show that the highest turbidity removal was for alum, blended, and coagulant, from 151.8 to 1.1 NTU, 151.8 to 14.43 NTU, and 151.8 to 29.32 NTU respectively. The maximum results for the effect of contact time on the rate of turbidity removal were attained at 6 h for all coagulants. The effect of natural coagulant performance on pH medium has indicated that it favours the acidic solution. The results obtained in this study recommend the efficiency and value of Musa paradisiaca peels as coagulant. The use of Musa paradisiaca peels as a natural coagulant offers a sustainable and cost-effective solution for the treatment of sullage wastewater. The use of Musa paradisiaca as a natural coagulant provides an alternative solution for replacing synthetic coagulants and overcomes health challenges associated with its usage, offers water treatment at low cost and reduces environmental issues associated with agri-food waste disposal, thereby promoting sustainable waste management.

Optimizing water usage through an automatic garden sprinkler system: Enhancing efficiency and sustainability in gardening

This study investigates the design and operation of an automatic garden sprinkler system, focusing on the need for a dependable, self-operating watering solution that conserves water and supports night-time watering schedules. The research method included a detailed evaluation of the system's performance over 30 days, analyzing data on timing accuracy, water distribution efficiency, and user feedback. The results show that the system works accurately, starting watering cycles within minutes of the set time and efficiently distributing water evenly across the garden. The findings suggest the system can help reduce water waste, supporting global sustainability goals. Additionally, its flexibility and ease of use suggest it could be popular with gardeners and widely adopted. This research adds to the conversation on sustainable gardening and provides insights into using advanced technology in traditional gardening practices.

Balancing pH for enhanced bacterial community performance in microbial fuel cells: implications for bio-electricity generation and pollutant reduction

Microbial fuel cells (MFCs) represent a promising technology to generate bio-electricity and synchronously reduce wastewater pollutants. The presence of exoelectrogens in wastewater is critical for bio-electricity and pollutant reduction, but the performance of exoelectrogens at different pH levels remains unknown. This study aims to bridge this gap by offering an integrated approach to understanding the performance of exoelectrogens under varying substrate pH, particularly in bio-electricity generation and pollutant reduction in sugarbeet processing wastewater (SBWW). Three pH levels (ranging from acidic to alkaline) were studied and MFC's electricity output was measured. Later, current density, power density, and coulombic efficiency (CE) were calculated. Both pre- and post-experiment substrate samples were analysed with inductively coupled plasma (ICP). Furthermore, 16S rRNA gene analysis, DNA amplification, sequencing library preparation, and bioinformatics workflows on post-experiment samples of the substrate and anode samples were conducted. A diverse community of microorganisms was identified, especially Alphaproteobacteria, Gammaproteobacteria, and Deltaproteobacteria (Geobacter). Bacteroidetes and Desulfovibrio were the major exoelectrogens responsible for electricity generation. Among the three pH levels tested, the most alkaline pH level (9.5±0.1) outperformed the others, achieving a 54% higher power density, 21% greater current density, and a 40% higher CE compared to the acidic pH level (6.5±0.1). Around 50–99% of pollutants were removed from the SBWW. The study revealed that Gammaproteobacteria thrive and perform better in alkaline environment.

Electrocatalytically active and charged natural chalcopyrite for nitrate-contaminated wastewater purification extended to energy storage Zn-NO3− battery

Charged natural chalcopyrite (CuFeS2, Ncpy) was developed for a three-dimensional electrochemical nitrate reduction (3D ENO3−RR) system with carbon fiber cloth cathode and Ti/IrO2 anode and Zn-NO3− battery. The 3D ENO3−RR system with Ncpy particle electrodes (PEs) possessed superior nitrate removal of 95.6 % and N2 selectivity of 76 % with excellent reusability under a broad pH range of 2–13 involving heterogeneous and homogeneous radical mechanisms. The Zn-NO3− battery with Ncpy cathode delivered an open-circuit voltage of 1.03 V and a cycling stability over 210 h. It was found that Ncpy PEs functioned through self-oxidation, surface dynamic reconstruction (Cu1.02Fe1.0S1.72O1.66 to Cu0.61Fe1.0S0.27O2.98), intrinsic micro-electric field (CuI, S2− anodic and FeIII cathodic poles), and reactive species (•OH, SO4•−, 1O2, •O2− and •H) generation. Computational analyses reveal that CuFeS2(112) surface with the lowest surface energy preferentially exposes Fe and Cu atoms. Cu site is beneficial for reducing NO3− to NO2−, Fe and Fe−Cu dual sites are conducive to N2 selectivity, lowering the overall reaction barriers. It paves the way for selective NO3− reduction in wastewater treatment and can be further extended to energy storage devices by utilizing low-cost Ncpy.

Adopsi Internet of Things dalam Budidaya Labu Madu di Kawasan Pertanian Urban

<span lang="EN-US">Badran Village is known for its signature honey pumpkin cultivation, which is managed by the village's Women Farmers Group (KWT). These honey gourds have a high selling value in the fruit market, ranging from Rp35,000 to Rp80,000 per kilogram. However, the crop watering system in Badran Village is still conventional, causing challenges in maintaining sufficient and regular irrigation for the honey pumpkin crop which is highly dependent on water supply. In an effort to increase productivity and water-use efficiency in honey pumpkin cultivation, the KKN Team of Sebelas Maret University Group 33 proposed a work program in the form of an Automatic Drip Irrigation System. This system utilizes Internet of Things (IoT) technology with NodeMcu ESP8266 as the control board and Blynk platform to allow remote supervision and control of the device via smartphone. The use of this technology is expected to help KWT and other urban farmers in maximizing their agricultural yields and reducing water wastage. The results of the KKN Group 33 activities in Badran Village show that the construction of the drip irrigation system went smoothly according to schedule. The construction of this automatic drip irrigation system is expected to help KWT in increasing the potential of honey pumpkin farming as well as agricultural tourism attraction in their village. This research also provides room for improvement by incorporating soil moisture sensors or automatic scheduling based on time, which can further increase the efficiency of this system</span>

IoT Based Irrigation and Fertigation System for Smart Smallholder Farming Application

Integrating Internet of Things (IoT) technology with irrigation and fertigation systems has transformed traditional farming methods by enabling reliable monitoring and control of critical environmental parameters. This project aims to design an automated irrigation and fertigation system as a prototype to reduce water wastage and monitor the pH level in the soil, temperature, soil dryness and detection of intruders. Sensors strategically placed throughout the system monitor and control these elements. This system has several important features, including the ability to automatically control water pumps to maintain proper hydration levels, detect intruders within a range of one to six meters of the plant by using the Blynk app, and monitor pH levels through the same app to ensure appropriate neutral levels. Automation and control features are also assessed to confirm that sensors, pumps, and other components precisely respond in line with predetermined requirements. This evaluation helps to determine the overall health of the farmed plants as well as the effectiveness of the system. Finally, the irrigation and fertilizing system for the targeted smallholder farming area has been developed. The resulting smart irrigation and fertigation system is not only a practical solution but also an effective alternative to modern agricultural methods.

Environmental Priorities, Drivers and Barriers in the Craft Beer Sector: Insights from Massachusetts Breweries

This article provides empirical research about the environmental priorities, drivers, and barriers in the craft beer sector. It is based on a survey of 43 Massachusetts craft breweries. The authors found that the top three environmental drivers for the industry include: being an environmental steward (81%), saving money (67%), and maintaining a good reputation with the community (63%). The most significant challenges preventing craft breweries from adopting pollution prevention and environmental sustainability strategies include: lack of financial resource (74%), limited knowledge about their opportunities (67%), and lack of time (67%). The top three pollution prevention areas of interest to Massachusetts craft breweries include energy efficiency (88% of participants), water efficiency (76%), and using safer chemicals (67%). In addition, over 80% of participants expressed interest in a “Green Brewery” recognition, obtaining information about state and other incentives and grants, and preventing waste through reuse or recycling. Spent grain management, recycling, and waste prevention are the three areas where craft breweries perform best presently. Wastewater reduction and reducing the use of hazardous chemicals are the most challenging areas for them. The re-search also found some differences in the priorities and drivers when comparing nanobreweries (with a production of fewer than 1000 beer barrels (bbl)/year) and larger craft breweries (with a production over 1000 bbl/year). The study findings provide valuable insights for devising effective policies and actions to support the sector’s adoption of pollution prevention.

An Analysis of Water Used and Wasted at Operating Room (OR) Scrub Sinks and Call to Action for Reducing Water Waste.

To model the volume of water used and wasted during wet scrubs at operating room (OR) scrub sinks and identify factors for reducing water waste. Wasteful consumption of water by US healthcare systems has not been well characterized. This is a two-component observational study. The first was an observational study of handwashing practices and water usage at scrub sinks in the OR at a single medical center. The second component was a series of two anonymous surveys of surgeons and OR staff to assess hand scrub practices and perspectives. Data from both components were used to estimate the volume of water used and wasted annually at OR scrub sinks. The median total volume of water wasted at OR scrub sinks for 34,554 cases over one year is 337,595.6 L (interquartile range 139,010.0;911,210.5). This represents approximately 34.2% of the total volume of water usage associated with wet scrubs (i.e.,water used during scrubbing and wasted after the conclusion of the scrub). Other pertinent findings are that attending surgeons and OR staff perform water scrubs in 25.9% of cases; there are significant differences in scrub type preferences among OR users; the median volume of water wasted in a single wet scrub at timer-controlled sinks is 10 L; and significantly more water is wasted at timer-controlled sinks than knee-operated sinks. OR wet scrubs are a source of enormous water waste. We identified scrub sink characteristics and OR user beliefs and behaviors as modifiable factors for water waste reduction. We encourage all institutions and OR users to carefully examine their facility characteristics and practices to implement plans that will conserve water without compromising patient safety.

Anaerobic treatment removing tetrabromobisphenol A and biota safety: How do tropical aquatic species respond to effluent toxicity over short- and long-term exposures?

Wastewater containing tetrabromobisphenol A (TBBPA), a commonly used flame retardant found in wastewater, can present significant toxic effects on biota, yet its impact on tropical freshwater environments is not well understood. This study explores the effectiveness of two independent anaerobic treatment systems, the acidogenic reactor (AR) and the methanogenic reactor (MR), for the ecotoxicity reduction of TBBPA-rich wastewater in four tropical freshwater species. Despite presenting good physicochemical performance and reduced toxicity of the influent for most species, AR and MR treatments remain acute and chronic toxicity. Overall, MR exhibited greater efficacy in reducing influent toxicity compared with AR. TBBPA bioaccumulation was observed in Chironomus sancticaroli after short-term exposure to 100% MR effluent. Multigenerational exposures highlighted changes in the wing length of C.sancticaroli, showing decreases after influent and AR exposures and increases after MR exposures. These findings underscore the need for ecotoxicological tools in studies of new treatment technologies, combining the removal of emerging contaminants with safeguarding aquatic biota. PRACTITIONER POINTS: Acidogenic and methanogenic reactors reduced the acute and chronic toxicity of wastewater containing tetrabromobisphenol A. Both treatments still exhibit toxicity, inducing short- and long-term toxic effects on four native tropical species. The aquatic species Pristina longiseta was most sensitive to effluents from acidogenic and methanogenic reactors. TBBPA concentrations recovered from Chironomus sancticaroli bioaccumulation analysis ranged from 1.07 to 1.35 μg g-1. Evaluating new treatment technologies with multiple species bioassays is essential for a comprehensive effluent toxicity assessment and ensuring aquatic safety.

Investigating Farmers’ Intentions to Reduce Water Waste through Water-Smart Farming Technologies

The scarcity of water resources, climate change, and water-wasting behavior have contributed to a worsening water crisis in many countries. This has raised concerns among farmers and increased pressure on governments. Digital technologies provide effective solutions to reduce resource waste; therefore, exploring farmers’ willingness to implement water-smart farming technologies to reduce waste, especially in developing countries, requires further analysis. To address this gap, this paper aims to investigate the factors that influence farmers’ intention to minimize water waste in Algeria. The theory of planned behavior was extended with the constructs of perceived usefulness of water-smart farming and knowledge of water waste reduction. Primary data were collected from 202 farmers to test the model. The empirical evidence suggests that attitudes, knowledge about water waste reduction, perceived usefulness, and perceived behavioral control significantly predict farmers’ intention to reduce waste. These factors explained 54.6% of the variation in intention. However, social influence was not found to be a significant antecedent of intentions. This paper’s findings can provide useful insights for various stakeholders on how to encourage farmers to reduce water waste and offer guidance on strategies for achieving sustainability in agriculture.

Salt free goatskin preservation with sugarcane bagasse and silica gel: salinity reduction in tannery wastewater

Salt free goatskin preservation with sugarcane bagasse and silica gel: salinity reduction in tannery wastewater

Smart IoT Irrigation System Based on Fuzzy Logic, LoRa, and Cloud Integration

Natural resources must be administered efficiently to reduce the human footprint and ensure the sustainability of the planet. Water is one of the most essential resources in agriculture. Modern information technologies are being introduced in agriculture to improve the performance of agricultural processes while optimizing water usage. In this scenario, artificial intelligence techniques may become a very powerful tool to improve efficiency. The introduction of the edge/fog/cloud paradigms, already adopted in other domains, may help to organize the services involved in complex agricultural applications. This article proposes the combination of several modern technologies to improve the management of hydrological resources and reduce water waste. The selected technologies are (1) fuzzy logic, used for control tasks since it adapts very well to the nonlinear nature of the agricultural processes, and (2) long range (LoRa) technology, suitable for establishing large distance links among the field devices (sensors and actuators) and the process controllers, executed in a centralized way. The presented approach has been validated in the laboratory by means of a control scheme aimed at achieving an adequate moisture level in the soil. The control algorithm, based on fuzzy logic, can use the weather forecast, obtained as a cloud service, to reduce water consumption. For testing purposes, the dynamics of the water balance model of the soil were implemented as hardware in the loop, executed in a dSPACE DS1104. Experiments proved the viability of the presented approach since the continuous space state output controller achieved a water loss reduction of 23.1% over a 4-day experiment length compared to a traditional on/off controller. The introduction of cloud services for weather forecasting improved the water reduction by achieving an additional reduction of 4.07% in water usage.

The mechanism of microbial sulfate reduction in high concentration sulfate wastewater enhanced by maifanite

Excessive sulfate levels in water bodies pose a dual threat to the ecological environment and human health. The microbial removal of sulfate encounters challenges, particularly in environments with high sulfate concentrations, where the gradual accumulation of sulfide hampers microbial activity. This study focuses on elucidating the mechanisms underlying the enhancement of microbial sulfate reduction in high-concentration sulfate wastewater through a comparative analysis of maifanite and zeolite biostimulants. The investigation reveals that zeolite primarily facilitates microbial growth by providing attachment sites, while maifanite augments sulfate-reducing bacteria (SRB) activity through the release of active substances such as Mo, Ca, and Cu. The addition of maifanite proves instrumental in enhancing microbial activity, manifesting as increased microbial load and protein production, augmented extracellular polymer generation, accelerated electron transfer, and facilitated microbial growth and biofilm formation. Noteworthy is the observation that the combined application of maifanite and zeolite exhibited a synergistic effect, resulting in a 167 % and 68 % increase in sulfate reduction rate compared to the utilization of maifanite (0.12 d−1) or zeolite (0.19 d−1) in isolation. Within this synergistic context, the relative abundance of Desulfobacteraceae reaches a peak of 15.4 %. The outcomes of this study corroborate the distinct promotion mechanisms of maifanite and zeolite in microbial sulfate reduction, offering novel insights into the application of maifanite in the context of high-concentration sulfate removal.

Tailoring Ni 3d orbitals in Ni-Fe/Ni foam heterostructures for enhanced H* adsorption and boosted electrocatalytic nitrate reduction performance

The electrochemical nitrate (NO3−) reduction (ENR) in wastewater, a promising remediation strategy, is often impeded by the essential use of costly noble metals. This study introduces an innovative non-noble Ni-Fe/Ni foam cathode fabricated via one-step electrodeposition technique. Efficient nitrate removal (99.4 %) was achieved with the selectivity of 83.6 % to NH3. The exceptional performance can be ascribed to the augmented active sites and the synergistic interaction between Ni and Fe. The leftward shift of the 3d orbitals density of Ni and the elevation of density at the Fermi level on Ni foam heterostructures, consequent to Fe doping, enhance the adsorption of H*. The addition of reactive chlorine species, generated through anodizing in Cl− mediated system, further improves N2 selectivity by oxidizing intermediate NH4+ product. The coupled anodic oxidation method employed herein achieves nearly 100 % removal efficiency of total nitrogen (TN) for initial concentration of 100 mg/L within 180 min, under the conditions of 1.5 g/L Cl− concentration and a current density of 25 mA cm−2. The findings underscore the potential of the Ni-Fe/Ni foam cathode within a Cl− mediated electrocatalytic framework for nitrate wastewater treatment, providing novel insights into the design of cathode catalysts and anodic coupling strategies for efficient TN removal.

Designing Cost-Effective SMS based Irrigation System using GSM Module

This paper describes the development and application of an SMS-based, affordable, and easily understandable irrigation control system for agricultural purposes. The system leverages the processing power of a Raspberry Pi Pico microcontroller and the remote communication capabilities of a GSM module to create a robust and versatile solution. By incorporating a suite of sensors for soil moisture, temperature, and humidity, the system automates irrigation cycles based on user-defined thresholds and real-time sensor data. This data-driven approach ensures optimal water usage, minimizing labor requirements and promoting sustainable farming practices by reducing water waste. Additionally, the system transmits SMS alerts for critical situations such as high temperature, low moisture, or pump malfunctions, enabling timely intervention to prevent crop stress or equipment failure. Users can remotely control the pump and receive status updates through SMS commands, providing a convenient interface for managing irrigation tasks from anywhere with cellular reception. This innovative system contributes to the field of smart agriculture by demonstrating how readily available technology can be effectively used to improve water management efficiency, minimize labor requirements, and ultimately increase agricultural productivity.

IOT based Smart Plant Monitoring System and Control System

The world is now fully dependent on the internet and the Internet of Things (IoT), which is the inter-networking of physical devices embedded with electronics, sensors, software and network connectivity. IoT enables physical devices to exchange data with the manufacturer and achieve greater value and services. Agriculture is the backbone of many countries, but water scarcity is a major issue in this field. To overcome this problem, the irrigation process can be automated using IoT. By using sensors, the temperature, humidity, and light can be measured, and appropriate processing can be performed based on the outcome. This helps in reducing water wastage and improving accuracy, economic benefits, and efficiency while reducing human intervention. This paper highlights the importance of IoT in day-to-day life, its scope in the future, and its potential applications in farming methods. To demonstrate the use of IoT in agriculture, we present the Automatic Watering System, which monitors and maintains the moisture content in the soil using temperature, humidity, and moisture sensors. The Arduino UNO microcontroller is used as the control unit, regulating the appropriate amount of water to avoid over/under irrigation. Keywords – sensors, temperature, humidity, soil moisture, Arduino uno