Non-conventional Sources Research Articles

Alternative drying method for chontaduro pulp (Bactris gasipaes) by pulsed microwaves: Physicochemical analysis and kinetic model

Chontaduro (Bactris gasipaes), is a species of palm common in Central and South America. This perishable fruit is classified as a drupe. The objective of this research was to evaluate pulsed-microwave drying effect on physicochemical properties and kinetic models of two chontaduro varieties (yellow and red). The results showed that fresh yellow and red chontaduros contained 55.01 % and 64.6 % of moisture, and 6.85 % and 7.03 % of protein, respectively. Both pulsed-microwave and convective drying (control) successfully produced dehydrated materials with moisture contents below 10 % and water activities around 0.2, indicating stable products. The pulsed-microwave drying required significantly less time to reduce the water content in the fruits than convective process. In drying kinetics, all mathematical models were suitable to describe the experimental data, with the Page model showing the highest accuracy according to R2 and lowest RSEM and χ2 values. pH, acidity, fat, fiber, and ash content did not show changes after drying. However, thermally sensitive compounds, as protein and β-carotenes, were affected. Samples after pulsed-microwave drying presented 3.63 % and 5.19 % of protein for yellow and red samples, respectively. β-carotenes were reduced until to 55.51 % by pulsed-microwave and 56.96 % for convective drying. Pulsed-microwave drying is an alternative method to obtain dried products with appropriate physicochemical properties, where the heat mechanism does not adversely affect food characteristics during a short processing time. The non-traditional drying methods are a viable alternative to obtain new dried products from conventional or non-conventional sources with good physical, chemical and nutritional properties, as an increasingly demanding market.

Making waves: Harnessing stormwater for resilient water supply - A blueprint for vulnerable continental coasts and oceanic islands

At the forefront of climate change and natural disasters, small islands like Puerto Rico confront immense challenges in sustaining an adaptive water supply. The challenges are further exacerbated when the islands’ constraints, such as geographic isolation, limited resources, aging infrastructure, constrained capacity, and environmental fragility, are compounded. As these issues increasingly impact low-lying continental coasts, home to approximately 40 % of the global population, similar water supply crises have already emerged or are anticipated in these regions. To surmount these widespread challenges, harnessing stormwater as a non-conventional water source presents a promising solution. A stormwater-enabled water supply system, collectively characterized by water source diversification, decentralization, and modularity, can enhance the resilience of water supply in these vulnerable regions, both in routine situations and during emergencies. This article identifies barriers to the implementation of stormwater-to-drinking water (STDW) practices in Puerto Rico and advocates for engineering solutions to utilize stormwater at both community and household scales in vulnerable continental coasts and small oceanic islands. The primary barriers in Puerto Rico include uncertainty in water quality, insufficient data on local stormwater availability and domestic water demand, economic constraints, and the lack of an adaptive power supply. To overcome these obstacles, we emphasize engineering strategies focused on modular system design, assessments of local stormwater capture and demand dynamics, advancements in treatment technologies, and the enhancement of energy resilience. By analyzing the Puerto Rican context, we propose a conceptual framework that outlines pathways to adaptive STDW strategies for other oceanic islands and larger, more complex continental coasts in the face of similar challenges. These pathways encompass enhancing system modularity, understanding the dynamics of local stormwater supply and water consumption, applying tailored treatment technologies, and strengthening the resilience of supporting infrastructures. The insights gained from Puerto Rico's experience can guide current and future efforts for resilient water supply solutions in increasingly vulnerable coastal, island, and other regions.

Optimizing agricultural water resources: a study on cotton cultivation using non-conventional water sources in Khuzestan, Iran

Optimizing agricultural water resources: a study on cotton cultivation using non-conventional water sources in Khuzestan, Iran

Influence of pH and salt conditions on extraction efficiency and functional properties of Macrotermes nigeriensis protein concentrate for food applications

The search for alternative proteins from non-conventional sources for food processing has become important due to the shortage of conventional protein sources. Protein extractability from Macrotermes nigeriensis and its functional properties were investigated under various conditions of pH (2–10) and salt concentration (0.1–1.0 M). Extracted proteins were precipitated through pH adjustment and micellization, respectively. Results showed that maximum protein extractability was 68% and 62.1% at 0.5 M salt concentration and pH10.0, respectively. Salt-extracted protein-rich fraction (SP) had the highest protein composition (68.68 ± 0.41 g/100 g), seconded by alkaline-extracted protein-rich fraction (AP) (62.91 ± 0.53 g/100 g), compared with the raw and defatted fraction (34.36 ± 0.44 and 42.12 ± 0.15 g/100 g), respectively. The highest emulsion capacity (49%) and emulsion stability (35%) were recorded in alkaline pH 10.0. In comparison, the highest foaming capacity (24%) and foaming stability (16%) were recorded in the salt-extracted fraction at 6%. This information could be useful for further studies on the food application potential of proteins isolated from edible M. nigeriensis.Graphical

Biochemical and nutritional profiling of selected tropical green seaweeds

The nutritional composition and anti-inflammatory properties of six tropical green seaweeds viz., Ulva lactuca, Ulva linza, Halimeda macroloba, Halimeda gracilis, Chaetomorpha antennina and Chaetomorpha linum were evaluated. U. lactuca exhibited the highest carbohydrate content (66.1%), while U. linza (12.89%) and U. lactuca (12.06%) showed the highest protein content, indicating their potential as plant-based protein sources. H. gracilis contained the highest ash content (35.12%), highlighting its mineral richness, particularly calcium, magnesium and phosphorus. Lipid content was low across all species, but U. linza exhibited the highest polyunsaturated fatty acid content (22.94%), with α-linolenic acid (13.72%) which could support cardiovascular health. Mineral analysis revealed high calcium levels in C. linum (18.99 mg 100 g-1), contributing to bone health. Pigment analysis showedU. linza contained the highest chlorophyll-a (7.60 μg ml-1) and total carotenoids (0.30 μg ml-1), adding antioxidant potential to its bioactivity. Chaetomorpha linum exhibited the strongest anti-inflammatory activity (IC50 = 1.60 mg ml-1), with bioactivity correlating to the favorable n-3/n-6 fatty acid ratio. Amino acid analysis identified U. linza as the richest source of essential amino acids, particularly methionine (6.37 mg g-1) and valine (6.30 mg g-1), making it an excellent candidate for dietary supplements. The results of the study suggest that green seaweeds belonging to the family Ulvaceae could be a potential non-conventional source for dietary products and functional food supplements. Keywords: Anti-inflammatory activities, Chlorophyta seaweeds, Essential amino acid, Non-conventional nutritional sources, Polyunsaturated fatty acid

Chemometrics analysis of the flow and thermal properties of cardaba banana starch.

Starch from a non-conventional source such as cardaba banana is relatively underexplored compared to conventional sources such as potato, maize or tapioca. Its high amylose content, however, suggests its suitability for specific industrial uses. Understanding the flowability, rheology and thermal properties of cardaba banana starch could lead to its novel application in food product formulation and pharmaceutical industry. Therefore, the present study aimed to examine the effect of modification on the bulk material characterization (powder flowability), granule size and shape (measured by light microscope), rheology and thermal properties of cardaba banana starch. The flowability of cross-linked starch was affected significantly by the granule size (105 892.7 μm), shape (circularity 0.78) and compressibility (0.20), making it a more free-flowing powder than other starch powders. The rheological behavior of the starch paste revealed that the Herschel-Bulkley model best predicts the rheological behavior with the highest coefficient of determinant (R2 > 0.9). Cross-linked Cardaba banana starch with an excellent characteristic will find good application in food products that require free-flowing behavior. © 2024 Society of Chemical Industry.

Downstream Processing, Functional Properties, and Applications of Extracted Proteins from Nonconventional Sources for Improving Food Sustainability

Downstream Processing, Functional Properties, and Applications of Extracted Proteins from Nonconventional Sources for Improving Food Sustainability

Multiomic Profiling and Neuroprotective Bioactivity of Salvia Hairy Root-Derived Extracellular Vesicles in a Cellular Model of Parkinson's Disease.

Extracellular vesicles (EVs) are promising tools for nanomedicine and nanobiotechnology. The purification of mammalian-derived EVs involves intensive processes, and their therapeutic application raises multiple safety and regulatory issues. Plants have the potential to serve as nonconventional sources of therapeutically relevant EVs. In this context, we recently identified hairy roots (HRs) of medicinal plants as a novel biotechnological platform to produce EVs for human health. Herein, we report the purification, omics profiling, and bioactivity of EVs isolated from HRs of the medicinal plants S. sclarea and S. dominica. EVs were isolated from conditioned media of HR cultures using differential ultracentrifugation (dUC) and size exclusion chromatography (SEC). The isolated EVs were characterized by nanoparticle tracking analysis (NTA) and electron microscopy. The proteomic and metabolomic profiles of the EVs were determined using mass spectrometry. Uptake studies and bioactivity assays, including confocal microscopy, MTT, flow cytometry, ROS quantification, and untargeted metabolomics analyses, were conducted in SH-SY5Y cells treated with the neurotoxin 6-hydroxydopamine (6-OHDA) to evaluate the therapeutic potential of EVs in an in vitro model of Parkinson's disease. S. sclarea HRs released nanosized round-shaped EVs with a distinctive molecular signature. HR EVs from S. sclarea and S. dominica revealed conserved cargo of secondary metabolites, predominantly triterpenoids, which are known for their antioxidant properties. We showed that HR EVs are safe, enter the cells, and strongly inhibit apoptosis in a cellular model of Parkinson's disease. Cellular metabolomics revealed that EVs preserved metabolic homeostasis and mitigated cellular oxidative stress when co-administered with 6-OHDA. Mechanistically, HR EVs inhibited 6-OHDA autoxidation and substantially reduced the accumulation of its oxidative products, which are responsible for 6-OHDA-induced toxicity. Collectively, our findings provide compelling evidence that EVs isolated from the hairy roots of Salvia species are promising, non-mammalian alternative for the design of novel therapies targeting neurological disorders.

Cordia dichotoma fruit mucilage and flaxseed oil nanoemulsion loaded bioactive film: Synergistic approach to enhance antimicrobial properties and bread shelf-life

Recently, non-conventional sources of mucilage have gained significant attention due to their exceptional techno-functional properties and easy availability. This study aimed to utilize Cordia dichotoma fruit mucilage (CDM) for fabricating bioactive films to evaluate the shelf-life of bread. For the development of nanoemulsion, different concentrations of flaxseed oil (1–5% w/w) were employed. Selection was carried out based on droplet size, encapsulation efficiency, and antimicrobial activity. The selected nanoemulsion (CDM-FO1) was subsequently used to develop CDM-based films with the incorporation of carboxymethyl cellulose (CMC) and sodium alginate (SA). Results revealed that the droplet size of the nanoemulsions was significantly increased from 101.25 ± 4.68 nm to 205.15 ± 7.14 nm with increasing flaxseed oil concentration. However, the addition of CMC and SA improved the tensile strength (13.97 ± 0.34 MPa) of the CDM-F11 film compared to control films CDM (6.98 ± 0.68 MPa) and CDM-FC (7.76 ± 1.65 MPa). The CDM-F11 film exhibited excellent barrier properties compared to the control film. The control film showed higher yeast and mold growth, starting at 0.84 ± 0.57 Log CFU/g on the 3rd day and increased to 3.12 ± 0.39 Log CFU/g by the 9th day. In contrast, the CDM-FC film demonstrated better antimicrobial properties, with microbial growth at 0.52 ± 0.39 Log CFU/g on the 3rd day and 2.84 ± 0.38 Log CFU/g on the 9th day. Overall, CDM film loaded with flaxseed oil nanoemulsion can be effectively used as a sustainable food packaging material with enhanced antimicrobial efficiency for bread preservation.

Effect of clays incorporation on properties of thermoplastic starch/clay composite bio-based polymer blends

In this study, thermoplastic starch (TPS) biofilms were developed using starch isolated from the seeds of Melicoccus bijugatus (huaya) and reinforced with bentonite clays at concentrations of 1%, 3%, and 5% by weight. Novelty of this research lies in utilizing a non-conventional starch source and enhancing properties of TPS through clay reinforcement. FTIR analysis verified bentonite’s nature of clays, while SEM analysis provided insights into morphology and agglomeration behavior. Key findings include a notable increase in biofilm thickness and elastic modulus with higher clay content. Specifically, tensile strength of biofilms improved from 2.5 MPa for pure TPS to 5.0 MPa with 5% clay reinforcement. The elastic modulus increased from 25 MPa (TPS) to 60 MPa (5% clay). Thermal stability also showed enhancement, with initial degradation temperature increasing from 110 °C for pure TPS to 130 °C for TPS with 5% clay. Water vapor permeability (WVP) tests demonstrated a decrease in WVP values from 4.11 × 10−10 g m−1 s−1 Pa−1 for pure TPS to 2.09 × 10−10 g m−1 s−1·Pa−1 for TPS with 5% clay, indicating a significant barrier effect due to clay dispersion. These results suggest that biofilms based on huaya starch and reinforced with bentonite clay have considerable potential for sustainable food packaging applications, offering enhanced mechanical and barrier properties.

Selective extraction and recovery of rare earth elements from coal fly ash by carboxylated mesoporous carbon

The separation of Rare Earth Elements (REEs) from non-conventional sources is very critical to maintain the supply-chain balance of REEs in the Western world. Despite Coal Fly Ash (CFA) being designated as a prominent non-conventional source of REEs and several studies have reported on the extraction of REEs from CFA, the selectivity of REEs with respect to non-REEs in the CFA has never been reported. In this work, for the time, we have reported the selectivity of REEs over non-REEs using carboxylated mesoporous carbon (CMC) as the sorbent. The CMC was produced by carboxylating the soft-templated mesoporous carbon and then it was characterized successfully for porosity, FTIR, and SEM-EDX. The leachate produced from REEs contains 16 REEs and 20 non-REEs from groups 1 through 3 and 6 through 15 of the modern periodic table. The REEs were extracted within 80–90% in the 3 cycles along with the elements from groups of 1,3, 5, 8, and 11. Although a few other elements were also extracted, the values of the distribution coefficient confirmed that the CMC has a much higher affinity towards REEs except the non-REEs from groups 1 and 3. In the recovery mode, the REEs were recovered in the range of 20–100%, and heavier REEs demonstrated a better recovery. The recovery percent of non-REEs was also much lower compared to that of REEs, except for the elements from groups 3, 8, and 11. The non-REEs from group 3 demonstrated the highest competition, which can be attributed to the fact the REEs also belong to the same group of the periodic table. The ratio of extracted and recovered REEs over non-REEs was always greater than unity, suggesting that the CMC was selective towards REEs over non-REEs in extraction and recovery. The overall results suggest that CMC can potentially be used for selective extraction and recovery of REEs from coal fly ash.

Effect of the intermittency of non-conventional renewable energy sources on the volatility of the Colombian spot price

This paper explores one of the side effects and challenges that integrating non-conventional renewable energy sources poses to the Colombian electricity market, the spot price volatility which is directly related to financial risk. We propose a vector error correction model that allows an integrated and dynamic modelling of the offer-side of the spot market by considering bid prices, available energy, renewable energy production and the spot price. To validate the model, we performed statistical tests on the residuals of the model and back-testing. The results show that given a one standard deviation shock in renewable energy production from non-conventional sources, the spot price volatility increases from 12.7 % to 14.5 % in a 365-day horizon, which represents a relative increase of 14.2 %. Also, when evaluating different renewable energy integration scenarios and the official system expansion, we see that assuming 100 % fulfilment of the non-conventional sources integration plan, the volatility goes up to 31.2 % vs. 12.3 %. It is also worth noting that if the plan is fulfilled up to 25 % there is no significant increase in spot price volatility, which can be justified by the simultaneous expansion of conventional sources that compensate for the effects of non-conventional renewable sources.

TiO2/Al-PILC Catalysts Synthesized from a Non-Conventional Aluminum Source of Aluminum and Applied in the Photodegradation of Organic Compounds

AbstractThis study explores the transformative potential of Pillared InterLayered Clays (PILC) derived from non-conventional aluminum sources as catalytic supports in the synthesis of TiO2/catalysts for the efficient photodegradation of organic pollutants in water. Montmorillonite (Mt) and three alumina-pillared montmorillonite (PILC) synthesized using various aluminum sources, were impregnated with titanium to synthesize TiO2/catalysts. The successful synthesis of these materials was confirmed through several characterization techniques such as X-ray diffraction (XRD), N2 adsorption-desorption at -196 ºC, morphological analysis using scanning electron microscopy (SEM) and transmission electron microscopy (TEM), and Energy-Dispersive X-ray Spectrometry (EDX). The photolysis, adsorption, and catalytic behavior of the TiO2/catalysts were studied for the degradation of triclosan (TCS), 2,6-dichlorophenol (2,6-DCP), and bisphenol A (BPA). All synthesized catalysts surpassed the efficacy of commercial anatase, with TiO2/Al-PILC exhibiting superior performance in comparison to TiO2/Mt. Photodegradation was most effective under UV radiation, with TCS demonstrating the highest degradation (approximately 70%). Notably, Al-PILC samples, particularly those synthesized from saline slags, displayed enhanced properties. Among them, TiO2/Al-PILCAE exhibited the highest degradation rates under both UV and visible light, underlining the remarkable potential of saline slags as precursors for Al-PILC synthesis. This study provides valuable insights into the design and development of efficient catalysts for water treatment applications, paving the way for sustainable and effective solutions in the realm of environmental remediation.

Deciphering the Potential of Probiotics in Vaccines.

The demand for vaccines, particularly those prepared from non-conventional sources, is rising due to the emergence of drug resistance around the globe. Probiotic-based vaccines are a wise example of such vaccines which represent new horizons in the field of vaccinology in providing an enhanced and diversified immune response. The justification for incorporating probiotics into vaccines lies in the fact that that they hold the capacity to regulate immune function directly or indirectly by influencing the gastrointestinal microbiota and related pathways. Several animal-model-based studies have also highlighted the efficacy of these vaccines. The aim of this review is to collect and summarize the trends in the recent scientific literature regarding the role of probiotics in vaccines and vaccinology, along with their impact on target populations.

Recovery of Lithium from Industrial Li-Containing Wastewater Using Fluidized-Bed Homogeneous Granulation Technology

In this study, a novel fluidized-bed homogeneous granulation (FBHo-G) process was developed to recover lithium (Li) from industrial Li-impacted wastewater. Five important operational variables (i.e., temperatures, pH, [P]0/[Li]0 molar ratios, surface loadings, and up-flow velocities (Umf)) were selected to optimize the Li recovery (TR%) and granulation ratio (GR%) efficiencies of the process. The optimal operational conditions were determined as the following: a temperature of 75 °C, pH of 11.5, [P]0/[Li]0 of 0.5, surface loading of 2.5 kg/m2·h, and Umf of 35.7 m/h). The TR% and GR% at optimal condition could be as much as 90%. The material characterization of the recovery pellet products showed that they were highly crystallized Li3PO4 (purity ~88.2%). The pellets had a round shape and smooth surface with an average size of 0.65 mm, so could easily be stored and transported. The high purity enables them to be further directly reused as raw materials for a wide range of industrial applications (e.g., in the synthesis of cathode materials). Our calculation shows that the FBHo-G process could recover up to 0.1845 kg of lithium per cubic meter of Li-containing wastewater, at a recovery rate of ~90%. A brief technoeconomic analysis shows that FBHG process had economic viability, with an estimate production cost of USD 26/kg Li removed, while the potential gained profit for selling lithium phosphate pellets could be up to USD 48 per the same volume of wastewater and the net profit up to USD 22/m3 Li treated. In all, fluidized-bed homogeneous granulation, a seedless one-step recovery process, opens a promising pathway toward a green and sustainable recycling industry for the recovery and application of the resource-limited lithium element from nonconventional water sources.

Making Solar PV Street Light – A New Convention

Today’s society is completely based on fossil fuels directly or indirectly for every aspect of its existence. The transformation from fossil fuels to green energy is essential for coming decade to mitigate sudden climate change and most importantly to ensure long term sustainability. Though this shifting works well in theory, but the reality is that shifting from fossil fuels is not so easy as it is considered to be most available convenient source of energy. Sustainable solution with modern creative ideas embedded with traditional practices, can reduce the dependency on fossil fuels on everything from energy to infrastructure. Today Light emitting diode (LED) lamps have replaced High intensity discharge (HID) lamps that were used at urban street light. Solar Street lights work on the principle of photovoltaic cell or solar cell. This paper presents an overview of the design and implementation of the solar PV street lights as a new convention in outdoor lighting technology. Solar PV Street lights eliminate the need of grid electricity, making it cost effective and environment friendly in urban and rural areas. The system’s components include solar panel, batteries, light sources, charge controllers and a pole structure. In short, this paper is based on the idea of maintaining the maximum utilization and minimum loss of available energy and also making an approach to increase the longevity of the system’s components with some common techniques and make a shift from conventional to non-conventional source of energy and thus a new convention is proposed.

Improving Solar Panel Efficiency with Automated Dust Removal

The rapid growth of the global population has led to raise in energy consumption, resulting in a higher demand for energy production. This production is classified into two categories, conventional and non-conventional sources. Conventional sources of energy release a large amount greenhouse gas, which have detrimental effects on the environment. To combat these negative effects, it is crucial to transition towards non-conventional, renewable energy sources. Conventional energy is more sustainable and clean option compared to fossil fuels. Utilizing technology such as photovoltaic cells can greatly lessen our reliance on traditional energy sources. One challenge that renewable energy faces is the deposition of dust on solar panels, which can decrease their efficiency. Various coatings can be applied to prevent dust buildup, but they do not completely eliminate the issue. This study aims to investigate that how much effectively using an automated mechanical vibrator with a water injector to remove dust and debris from solar panels in which the efficiency of the panel is increased from 18% to 20 %. By improving the maintenance of solar panels, we can increase their efficiency and overall performance in generating renewable energy.

Assessing the quality of random number generators through neural networks

In this paper we address the use of Neural Networks (NNs) for the assessment of the quality and hence safety of several Random Number Generators (RNGs), focusing both on the vulnerability of classical Pseudo Random Number Generators (PRNGs), such as Linear Congruential Generators (LCGs) and the RC4 algorithm, and extending our analysis to non-conventional data sources, such as Quantum Random Number Generators (QRNGs) based on Vertical-Cavity Surface-Emitting Laser (VCSEL). Among the results found, we have classified the generators based on the capability of the NN to distinguish between the RNG and a Golden Standard RNG (GSRNG). We show that sequences from simple PRNGs like LCGs and RC4 can be distinguished from the GSRNG. We also show that sequences from LCG on elliptic curves and VCSEL-based QRNG can not be distinguished from the GSRNG even with the biggest long-short term memory or convolutional neural networks (CNNs) that we have considered. We underline the fundamental role of design decisions in enhancing the safety of RNGs. The influence of network architecture design and associated hyper-parameters variations was also explored. We show that longer sequence lengths and CNNs are more effective for discriminating RNGs against the GSRNG. Moreover, in the prediction domain, the proposed model is able to deftly distinguish between the raw data of our QRNG and data from the GSRNG exhibiting a cross-entropy error of 0.52 on the test data-set used. All these findings reveal the potential of NNs to enhance the security of RNGs, while highlighting the robustness of certain QRNGs, in particular the VCSEL-based variants, for high-quality random number generation applications.

Financial Investment Valuation Models for Photovoltaic and Energy Storage Projects: Trends and Challenges

Energy production through non-conventional renewable sources allows progress towards meeting the Sustainable Development Objectives and constitutes abundant and reliable sources when combined with storage systems. From a financial viewpoint, renewable energy production projects withstand significant challenges such as competition, irreversibility of investments, high uncertainty levels, and considerable investment amounts. These facts make their financial valuation fundamental for all the agents involved. Using the Web of Science (WoS) and Scopus databases, a scientometric analysis was carried out to understand the methods that have been used in the financial appraisal of photovoltaic energy generation projects with storage systems. The present research project was developed from 268 studies published between 2013 and 2023; tools such as Bibliometrix 4.1.3, VOSViewer 1.6.19, and Tree of Science 0.0.1a9 were used. Two main findings stand out: (i) the most used methods in the literature are the traditional ones, and within them, the levelized cost of energy has been used with greater frequency; and (ii) there is an interest in analyzing the investments of these systems for residences within the framework of distributed energy generation. Two gaps were found in the literature: (i) the studies that were carried out have not comprehensively incorporated the financial challenges faced by these investments; and (ii) the evaluation of these projects has not been addressed from the perspective of a utility-based power generator.

Black cemeteries as archives

AbstractThis commentary argues for the recognition and preservation of historic black cemeteries as primary components within associated archival networks. Such networks include death certificates, historic newspapers, maps, church records, oral histories, and a host of other conventional and nonconventional sources. These sources, when viewed in tandem, work to corroborate and provide insights into other sources and spur new investigations. As the primary components of such networks, both extant cemeteries and burial grounds hidden within the landscape can be utilized as active sites for research, education, and commemoration. This place‐based remembrance encourages the identification and retrieval of local histories and works to increase the number of individuals interested and involved in preservation efforts.