Managing waste generated by the food industry is a pressing environmental challenge, and traditional disposal methods such as landfilling or incineration are no longer viable solutions. However, by recovering and valorizing waste in wastewater treatment, we can address the waste management issue and the energy-intensive nature of conventional treatment methods with processes compatible with renewable energy technologies. In this work, avocado skin and seed are valorized for their application in removing Rhodamine B (RhB) dye. Avocado skin (ASk) and seed (ASe) were recovered and recycled separately to develop natural bioadsorbents. Biomaterials were characterized by XRD, XPS, ICP-MS, ATR-FTIR spectroscopy, TGA, N₂ adsorption/desorption, and SEM. The ASk and ASe bioadsorbents were employed to remove RhB at four experimental conditions: pH, RhB concentration, bioadsorbent concentration, and temperature. RhB removal was followed by UV–Vis spectroscopy. The results show that at pH 3, the highest percentages of dye removal are achieved, using ASk and ASe, with 88 and 92% removal, respectively. ASe bioadsorbent is more effective for removing RhB dye, reaching 92% after 4 h of contact with 2 g L⁻¹ of bioadsorbent and at 30 °C. Experimental results better fit a pseudo-second-order kinetic model and the Langmuir adsorption model, with maximum adsorption capacities of 13.1240 and 17.9998 mg g⁻¹ for ASk and ASe, respectively. The results show that natural bioadsorbents are suitable options for environmental remediation.

Water quality monitoring serves diverse purposes, such as assessing water safety for drinking or agriculture. However, traditional methods are often time-consuming and costly. Additionally, assessing water quality on demand is not always feasible, and parameter variations are not consistently documented. With the advent of affordable equipment capable of efficient performance with minimal resources, remote monitoring sans physical access to the environment has become viable. This has led to reduced inspection and control costs. Understanding the applications, characteristics, and limitations of these devices is crucial for maximizing their benefits. Rainwater quality remains understudied in many areas, leaving its physical, chemical, and microbiological conditions unknown. These conditions are influenced by various atmospheric factors, including both human and natural activities. This research paper develops monitoring stations employing low-cost technology to assess rainwater quality in Morelia City. A prototype was developed based on low-cost technology implementation. Additionally, basic parameters measured include pH, total dissolved solids, turbidity, and temperature, utilizing an Arduino microcontroller for data processing. Data collected from these stations are transmitted via a Wi-Fi communication module to a web platform, enabling real-time visualization of measurements both spatially and temporally. Utilizing such a device offers several advantages compared to standard methods of assessing rainwater quality. It enables continuous measurements and provides a record of how rainwater quality is affected over time by human and natural activities.