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<front>
<journal-meta>
<journal-id journal-id-type="publisher-id">Front. Nanotechnol.</journal-id>
<journal-title>Frontiers in Nanotechnology</journal-title>
<abbrev-journal-title abbrev-type="pubmed">Front. Nanotechnol.</abbrev-journal-title>
<issn pub-type="epub">2673-3013</issn>
<publisher>
<publisher-name>Frontiers Media S.A.</publisher-name>
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</journal-meta>
<article-meta>
<article-id pub-id-type="publisher-id">1406344</article-id>
<article-id pub-id-type="doi">10.3389/fnano.2024.1406344</article-id>
<article-categories>
<subj-group subj-group-type="heading">
<subject>Nanotechnology</subject>
<subj-group>
<subject>Brief Research Report</subject>
</subj-group>
</subj-group>
</article-categories>
<title-group>
<article-title>Nanotechnology boosts the production of clean energy via nanoparticle addition in anaerobic digestion</article-title>
<alt-title alt-title-type="left-running-head">Castro et al.</alt-title>
<alt-title alt-title-type="right-running-head">
<ext-link ext-link-type="uri" xlink:href="https://doi.org/10.3389/fnano.2024.1406344">10.3389/fnano.2024.1406344</ext-link>
</alt-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname>Castro</surname>
<given-names>J. Cunha de</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/2697827/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/writing-original-draft/"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname>Resende</surname>
<given-names>E.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<role content-type="https://credit.niso.org/contributor-roles/data-curation/"/>
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</contrib>
<contrib contrib-type="author">
<name>
<surname>Taveira</surname>
<given-names>Igor</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<uri xlink:href="https://loop.frontiersin.org/people/1018189/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/methodology/"/>
<role content-type="https://credit.niso.org/contributor-roles/formal-analysis/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Enrich-Prast</surname>
<given-names>A.</given-names>
</name>
<xref ref-type="aff" rid="aff2">
<sup>2</sup>
</xref>
<xref ref-type="aff" rid="aff3">
<sup>3</sup>
</xref>
<xref ref-type="aff" rid="aff4">
<sup>4</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
<uri xlink:href="https://loop.frontiersin.org/people/78166/overview"/>
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<role content-type="https://credit.niso.org/contributor-roles/Writing - review &#x26; editing/"/>
</contrib>
<contrib contrib-type="author" corresp="yes">
<name>
<surname>Abreu</surname>
<given-names>F.</given-names>
</name>
<xref ref-type="aff" rid="aff1">
<sup>1</sup>
</xref>
<xref ref-type="corresp" rid="c001">&#x2a;</xref>
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<aff id="aff1">
<sup>1</sup>
<institution>Instituto de Microbiologia Paulo de G&#x00f3;es, Universidade Federal do Rio de Janeiro</institution>, <addr-line>Rio de Janeiro</addr-line>, <country>Brazil</country>
</aff>
<aff id="aff2">
<sup>2</sup>
<institution>Department of Thematic Studies&#x2014;Environmental Change, Link&#x00f6;ping University</institution>, <addr-line>Link&#x00f6;ping</addr-line>, <country>Sweden</country>
</aff>
<aff id="aff3">
<sup>3</sup>
<institution>Biogas Solution Research Center, Link&#x00f6;ping University</institution>, <addr-line>Link&#x00f6;ping</addr-line>, <country>Sweden</country>
</aff>
<aff id="aff4">
<sup>4</sup>
<institution>Institute of Marine Science, Federal University of S&#x00e3;o Paulo (IMar/UNIFESP)</institution>, <addr-line>Santos</addr-line>, <country>Brazil</country>
</aff>
<author-notes>
<fn fn-type="edited-by">
<p>
<bold>Edited by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/728534/overview">Sasanka Deka</ext-link>, University of Delhi, India</p>
</fn>
<fn fn-type="edited-by">
<p>
<bold>Reviewed by:</bold> <ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/2522167/overview">Avishek Banik</ext-link>, Colorado State University, United States</p>
<p>
<ext-link ext-link-type="uri" xlink:href="https://loop.frontiersin.org/people/1245310/overview">Brij Kishore</ext-link>, CSIR-CMERI Center of Excellence for Farm Machinery, India</p>
</fn>
<corresp id="c001">&#x2a;Correspondence: F. Abreu, <email>fernandaaabreu@micro.ufrj.br</email>; A. Enrich-Prast, <email>alex.enrich.prast@liu.se</email>
</corresp>
</author-notes>
<pub-date pub-type="epub">
<day>16</day>
<month>05</month>
<year>2024</year>
</pub-date>
<pub-date pub-type="collection">
<year>2024</year>
</pub-date>
<volume>6</volume>
<elocation-id>1406344</elocation-id>
<history>
<date date-type="received">
<day>24</day>
<month>03</month>
<year>2024</year>
</date>
<date date-type="accepted">
<day>22</day>
<month>04</month>
<year>2024</year>
</date>
</history>
<permissions>
<copyright-statement>Copyright &#xa9; 2024 Castro, Resende, Taveira, Enrich-Prast and Abreu.</copyright-statement>
<copyright-year>2024</copyright-year>
<copyright-holder>Castro, Resende, Taveira, Enrich-Prast and Abreu</copyright-holder>
<license xlink:href="http://creativecommons.org/licenses/by/4.0/">
<p>This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) and the copyright owner(s) are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.</p>
</license>
</permissions>
<abstract>
<p>Biogas production via anaerobic digestion is an established and robust technology that produces energy and recycles nutrients. Several biotechnological attempts have been applied to this process to increase biogas production, including adding nanoparticles, but several discrepancies have been reported. To elucidate the contradictory results, we performed a literature review followed by a meta-analysis to evaluate the effect of adding natural nanoparticles to biogas sludge. Our results showed that adding nanoparticles can increase biogas production by up to two orders of magnitude. Considering that, we attribute these results to variability in the nanoparticles applied, leading to less reliable, consistent, and even contradictory results. We observed that the magnetite nanoparticles are the most tested ones with the most promising positive effects. In addition, we observed that concentrations of nanoparticles higher than 100&#xa0;mg/L can have adverse effects, with an overall decrease in biogas production. The findings in this study highlight the need for a proper characterization of the nanomaterials type and concentration applied to the process to understand the interactions and effects on the microbial communities and dynamics that lead to an overall increase or decrease in biogas yield.</p>
</abstract>
<kwd-group>
<kwd>biogas</kwd>
<kwd>nanoparticles</kwd>
<kwd>meta-analysis</kwd>
<kwd>biotechnology</kwd>
<kwd>methane</kwd>
</kwd-group>
<contract-sponsor id="cn001">Link&#xf6;pings Universitet<named-content content-type="fundref-id">10.13039/501100003945</named-content>
</contract-sponsor>
<custom-meta-wrap>
<custom-meta>
<meta-name>section-at-acceptance</meta-name>
<meta-value>Nanotechnology for Energy Applications</meta-value>
</custom-meta>
</custom-meta-wrap>
</article-meta>
</front>
<body>
<sec id="s1">
<title>1 Introduction</title>
<p>Investment in renewable energy sources is a reality nowadays (<xref ref-type="bibr" rid="B12">Atelge et al., 2020</xref>). Among the different renewable energy sources, the production of biogas from organic waste, generated in the complex microbial process of anaerobic digestion (AD), stands out due to its many advantages (<xref ref-type="bibr" rid="B46">Scarlat et al., 2018</xref>; <xref ref-type="bibr" rid="B1">Abanades et al., 2022</xref>; <xref ref-type="bibr" rid="B53">Wang et al., 2023</xref>). AD is an integrated biological process of the decomposition of organic matter in an oxygen-free environment that produces biogas and a digestate. Biogas is mainly composed of methane (CH<sub>4</sub>), carbon dioxide (CO<sub>2</sub>) and other minor molecules (H<sub>2</sub>, H<sub>2</sub>S, N<sub>2</sub>, H<sub>2</sub>O) (<xref ref-type="bibr" rid="B39">Madsen et al., 2011</xref>; <xref ref-type="bibr" rid="B54">Xu et al., 2018</xref>). Although it is a promising strategy, biogas production from AD still faces challenges in its process stability and efficiency (<xref ref-type="bibr" rid="B11">Appels et al., 2008</xref>; <xref ref-type="bibr" rid="B54">Xu et al., 2018</xref>). This process also deals with different groups of microorganisms that play crucial roles in AD (<xref ref-type="bibr" rid="B18">Deng et al., 2020</xref>) and the syntrophic relationship between these microorganisms, which have different growth requirements (<xref ref-type="bibr" rid="B47">Schn&#xfc;rer and Jarvis, 2018</xref>; <xref ref-type="bibr" rid="B18">Deng et al., 2020</xref>), is mandatory to achieve maximum biogas production (<xref ref-type="bibr" rid="B27">He et al., 2019</xref>). Thus, many strategies have been developed to improve microbial metabolic activities and biogas production in AD, such as co-digestion, pre-treatments and upgrades approaches (<xref ref-type="bibr" rid="B43">Patinvoh et al., 2017</xref>; <xref ref-type="bibr" rid="B43">Paritosh et al., 2018</xref>; <xref ref-type="bibr" rid="B6">Adnan et al., 2019</xref>; <xref ref-type="bibr" rid="B5">Abdelwahab et al., 2020</xref>; <xref ref-type="bibr" rid="B10">Anacleto et al., 2022</xref>).</p>
<p>The strategy of nanoparticles (NPs) addition to the AD process has shown results in improving the stability of the microbial community and the electric exchange between organic reductive bacteria and methanogenic archaea by enhancing direct interspecies electron transfer (DIET) efficiency (<xref ref-type="bibr" rid="B45">Rotaru et al., 2014</xref>; <xref ref-type="bibr" rid="B42">Park et al., 2018</xref>). Conductive NPs such as magnetite and nickel would be related to the increase in electron transfer efficiency between methane-producing microorganisms and other species that inhabit biogas reactors, a process also known as &#x201c;electrical syntrophy&#x201d; (<xref ref-type="bibr" rid="B35">Kato et al., 2012</xref>; <xref ref-type="bibr" rid="B32">Jin et al., 2019</xref>). It has also been suggested that the benefit of NPs addition may be related microbial growth requirements for trace elements, such as Fe, Ni, and Cu, for the enzymatic activity of the different microorganisms involved in AD.</p>
<p>NPs with different chemical compositions were studied for such purpose, like composed of silver (<xref ref-type="bibr" rid="B23">Grosser et al., 2021</xref>), zero valent iron (<xref ref-type="bibr" rid="B4">Abdelsalam et al., 2017b</xref>), cobalt (<xref ref-type="bibr" rid="B3">Abdelsalam et al., 2017a</xref>), nickel (<xref ref-type="bibr" rid="B3">Abdelsalam et al., 2017a</xref>; <xref ref-type="bibr" rid="B26">Hassanein et al., 2019</xref>), carbon (<xref ref-type="bibr" rid="B13">Baniamerian et al., 2019</xref>) and magnetite (Fe<sub>3</sub>O<sub>4</sub>) (<xref ref-type="bibr" rid="B32">Jin et al., 2019</xref>; <xref ref-type="bibr" rid="B51">Uysal and Mut, 2020</xref>; <xref ref-type="bibr" rid="B8">Amo-Duodu et al., 2021</xref>; <xref ref-type="bibr" rid="B56">Yu et al., 2022</xref>), among others (<xref ref-type="bibr" rid="B5">Abdelwahab et al., 2020</xref>). In 2019, Jin and others were successful in increasing 3&#x2013;10 times the production of biogas by using chemically synthesized magnetite NPs. The increased yield was attributed to the conductive property of magnetite to increase the efficiency of DIET (<xref ref-type="bibr" rid="B32">Jin et al., 2019</xref>).</p>
<p>The benefit of the addition of NPs can also be a consequence of other NPs interactions such as the reduction of short-chain fatty acids accumulation, which in high amounts inhibits the AD process, organic matter overload, and the mitigation of H<sub>2</sub>S and ammonia, which ends up directly increasing CH<sub>4</sub> production (<xref ref-type="bibr" rid="B29">Hern&#xe1;ndez et al., 2011</xref>; <xref ref-type="bibr" rid="B5">Abdelwahab et al., 2020</xref>; <xref ref-type="bibr" rid="B19">Farghali et al., 2020</xref>; <xref ref-type="bibr" rid="B17">Cui et al., 2022</xref>; <xref ref-type="bibr" rid="B59">Ziganshina et al., 2022</xref>). Thus, the NPs could be potentially used to accelerate microbial activities in AD and optimize CH<sub>4</sub> production. However, the outcome reported for NPs effect on biogas production is not consistent. <xref ref-type="bibr" rid="B20">Farghali et al. (2019)</xref> observed an increase in biogas and CH<sub>4</sub> production after adding iron oxide NPs that was lower than those previously observed by <xref ref-type="bibr" rid="B2">Abdelsalam et al. (2016)</xref>. In their discussion, <xref ref-type="bibr" rid="B20">Farghali et al. (2019)</xref> suggested that this difference is due to different parameters in the methods between the studies, despite using NPs of similar composition. These differences include different specific composition and concentrations of NPs (Farghali used Fe<sub>2</sub>O<sub>3</sub> at a concentration of 100&#xa0;mg/L while Abdelsalam used Fe<sub>3</sub>O<sub>4</sub> at 20&#xa0;mg/L) and the substrates (Farghali tested cattle manure as substrate, while Abdelsalam used raw manure) (<xref ref-type="bibr" rid="B2">Abdelsalam et al., 2016</xref>; <xref ref-type="bibr" rid="B20">Farghali et al., 2019</xref>). This type of discrepancy in results emphasizes the importance of studies that allow comparison and systematizing the parameters and respective impacts of adding NPs to increase biogas production by AD.</p>
<p>Performing a systematic analysis is a suitable technique to integrate, in a reliable way, results from different studies to summarize its findings in more clear and robust conclusions (<xref ref-type="bibr" rid="B52">Van Houwelingen et al., 2002</xref>). In addition, conducting a meta-analysis contributes to resolving conflicting results from the literature and finding new patterns that bench experiments cannot achieve. Here, we performed a systematic review followed by a meta-analysis according to PRISMA 2020 statement (<xref ref-type="bibr" rid="B41">Page et al., 2021</xref>). Data collected was submitted to a series of statistical analysis to clarify NPs addition in the AD process and its implications for methane production improvement.</p>
</sec>
<sec sec-type="materials|methods" id="s2">
<title>2 Materials and methods</title>
<sec id="s2-1">
<title>2.1 Keywords, screening and data collecting</title>
<p>An advanced search code with the keywords &#x201c;anaerobic digestion&#x201d;, &#x201c;biogas&#x201d;, &#x201c;methane&#x201d; and &#x201c;nanoparticles&#x201d; and synonyms combined with Boolean operators (AND, OR and NOT) and wildcards (&#x2a;, $) was entered with filters for English language and type of article file using the Web of Science (<ext-link ext-link-type="uri" xlink:href="https://www.webofknowledge.com">https://www.webofknowledge.com</ext-link>) database. Filters for English language, with document type for articles and time from 1997 to 2022 were used as well. Then, a preliminary screening was carried out with the following eligibility criteria in which studies should: 1) deal with a process of methane production by AD that provides methane yield data of the control and NPs treatments; 2) intentionally add and analyze NPs impact in methane production in AD; 3) provide information on the characteristics of NPs (at least composition, size and concentration added); 4) present experimental data and analysis (excluding modeling, simulations, bibliographic and systematic reviews).</p>
<p>After this screening step, selected articles were analyzed and data about the AD substrates type, NPs features and methane yield in the experiments (control and treatments) was collected. Information about the studies such as year of publication, author names, operational and experimental conditions were also collected. The main data collected from the selected primary publications were converted to a CSV file (<xref ref-type="sec" rid="s11">Supplementary Table S1</xref>).</p>
</sec>
<sec id="s2-2">
<title>2.2 Statistical analysis</title>
<p>Data collected was submitted to the ROUT method for identifying outliers (<xref ref-type="bibr" rid="B40">Motulsky and Brown, 2006</xref>), followed by One-way ANOVA tests of variance, followed by Fisher&#x2019;s multiple test, when significant, in GraphPad Prism software version 8.02 (GraphPad, United States of America). <italic>p</italic>-value &#x3c;0.05 was considered statistically significant.</p>
<p>Data of different treatments in which NPs were added to the AD process were grouped according to NPs composition. Their effect in CH<sub>4</sub> yield was compared to the control (without NPs addition) was given by calculating the natural log response ratio (ratio between the mean of the experimental group and that in the control group), expressed below (Eq. <xref ref-type="disp-formula" rid="e1">1</xref>) (<xref ref-type="bibr" rid="B28">Hedges et al., 1999</xref>). This effect size calculation was chosen due to the high number of articles that did not clearly present a measure of dispersion and which information would have been lost if only those with this information were considered.<disp-formula id="e1">
<mml:math id="m1">
<mml:mrow>
<mml:mtext mathvariant="italic">RR</mml:mtext>
<mml:mo>&#x3d;</mml:mo>
<mml:mo>&#x2061;</mml:mo>
<mml:mi mathvariant="italic">ln</mml:mi>
<mml:mrow>
<mml:mfenced open="(" close=")" separators="&#x7c;">
<mml:mrow>
<mml:mtext mathvariant="italic">XT</mml:mtext>
<mml:mo>/</mml:mo>
<mml:mtext mathvariant="italic">XC</mml:mtext>
</mml:mrow>
</mml:mfenced>
</mml:mrow>
</mml:mrow>
</mml:math>
<label>(1)</label>
</disp-formula>
</p>
<p>Eq. <xref ref-type="disp-formula" rid="e1">1</xref> Response ratio between CH<sub>4</sub> production in treatment groups (XT) and control groups (XC).</p>
<p>Using the Past software (<xref ref-type="bibr" rid="B24">Hammer, 2001</xref>) the Kernel Density Estimation (KDE&#x2013;Kernel&#x2019;s density estimator) was calculated in order to provide the coordinates used for elaboration of density graphs in order to analyze the profile of the data obtained (<xref ref-type="bibr" rid="B15">Chen, 2017</xref>). The KDE method allows the observation of the density profile of data distribution against two variables. In other words, it allows observing at which points regarding the two variables the data obtained are more concentrated. Pearson&#x2019;s correlation tests were also performed between the variables &#x201c;size (nm)&#x201d; and &#x201c;concentration (mg/L)&#x201d;, and the improvement in CH<sub>4</sub> production, also expressed by Hedges&#x2019; RR.</p>
</sec>
</sec>
<sec sec-type="results" id="s3">
<title>3 Results</title>
<sec id="s3-1">
<title>3.1 Screening trials</title>
<p>The advanced search performed on the Web of Science database resulted in 877 articles. After the initial screening, 377 articles were selected for further data collection. Finally, after analysis and data collection according to the criteria described above, 290 data from 64 articles.</p>
<p>Different experimental conditions were used in the selected papers; for example, the volumes of the experiments varied from 25&#xa0;mL flasks to 9&#xa0;L reactors. Reactor models and the selected AD temperature varied. However, most of the experiments analyzed were carried out on laboratory scale, in mesophilic batch systems. Circa 68% of the tests were performed in flasks or bottles, 27% in a reactor and 5% in automatic methane potential test systems. The NPs concentrations used were displayed in different units and only those that could be converted to mg/L were kept in the analysis, resulting in these 64 articles remaining. This unit was chosen because it allowed the conversion of the largest number of studies. A great variation was also observed in expressing information related to the size of the NPs used and their origins or production methods, and the improvement of the production of CH<sub>4</sub>&#x2014;which was unified by the Natural Logarithmic Response Ratio (RR CH<sub>4</sub>) described above. The main data used in the analysis of this work are displayed in <xref ref-type="sec" rid="s11">Supplementary Table S1</xref>.</p>
</sec>
<sec id="s3-2">
<title>3.2 Impact of NPs of different compositions</title>
<p>Effect sizes were calculated using Natural Log Response Ratio between the CH<sub>4</sub> production in the treatment group (with NPs) and the control (without) of every study selected. The results were grouped according to NPs composition. Different effects of the addition of each NPs composition on CH<sub>4</sub> production were observed (<xref ref-type="fig" rid="F1">Figure 1</xref>). The effect size (expressed by the RR) demonstrates how much the treatment (NPs addition) has a positive or negative effect compared to when no NPs are added. When the 95% CI lines overcross the 0 point, it means that the NPs may cause inhibitory effects. When the middle circle (representing the mean RR CH<sub>4</sub> of each group) undercrosses the 0 line, it represents a major probability in causing inhibitory rather than stimulatory effects in AD. Thus, certain NPs are more related to increased methane production, while others demonstrate more impacts that are negative on AD (<xref ref-type="fig" rid="F1">Figure 1</xref>). The NPs with the best effects for increasing CH<sub>4</sub> production are those composed of cobalt, zero valent iron and magnetite. Zinc oxide as well as copper oxide showed more inhibitory than beneficial effects.</p>
<fig id="F1" position="float">
<label>FIGURE 1</label>
<caption>
<p>
<bold>(A)</bold> Natural log response ratio of CH<sub>4</sub> yield of each NPs composition analyzed. The black lines of each NPs type represent the 95% CI and the circles the mean RR. When the black lines overcome the red line on zero <italic>X</italic>-axes it means that the addition of this NPs composition may cause an inhibitory effect. Different letters indicate significant differences between the NPs groups. <bold>(B&#x2013;D)</bold> Scatter plot of the effect of each NPs composition in different AD substrates. <bold>(B)</bold> Cobalt; <bold>(C)</bold> Zero Valent iron; <bold>(D)</bold> Magnetite. Different letters in C indicate significant differences between the treatment groups.</p>
</caption>
<graphic xlink:href="fnano-06-1406344-g001.tif"/>
</fig>
<p>Some NPs were tested in different types of substrates, such as magnetite and zero valent iron, but a wide range of other compositions was restricted to a few specific substrates. Only magnetite had its effect evaluated for all categories of substrates. For all of them this NPs composition presents, on average, better results (<xref ref-type="fig" rid="F1">Figures 1A, D</xref>). As magnetite was the only tested on all studied substrates, it allowed us to make a specific comparison of those NPs on all substrates (<xref ref-type="fig" rid="F1">Figure 1D</xref>). Here, we compared magnetite NPs results with those of cobalt (<xref ref-type="fig" rid="F1">Figure 1B</xref>) and zero valent iron NPs (<xref ref-type="fig" rid="F1">Figure 1C</xref>). Every color point represents one size effect of NPs impact in CH<sub>4</sub> production by DA (<xref ref-type="fig" rid="F1">Figure 1</xref>). On average, magnetite had a positive effect stimulating the biogas production when added to all substrates (<xref ref-type="fig" rid="F1">Figure 1D</xref>). NPs composed by zero valent iron also stimulated biogas production, except when added to synthetic medium (<xref ref-type="fig" rid="F1">Figure 1C</xref>). These results highlight the need for proper testing the effects of different NPs applied to different substrates. It is also relevant to evaluate each AD process in a wide point of view, comparing NPs characteristics, microbial community and biochemical changes to achieve a more complex understanding of its effects.</p>
</sec>
<sec id="s3-3">
<title>3.3 Impact of NPs concentration and size</title>
<p>The surface analysis generated by the Kernel&#x2019;s density estimator (KDE&#x2013;Kernel&#x2019;s density estimator) indicated that the increase in the size or concentration of the NPs used in the AD process did not result in greater beneficial effects in the production of CH<sub>4</sub>, that is, at a higher RR (<xref ref-type="fig" rid="F2">Figure 2</xref>). Most experiments use concentrations below 400&#xa0;mg/L. However, those experiments with higher concentrations did not result in better responses in terms of CH<sub>4</sub> production (<xref ref-type="fig" rid="F2">Figure 2</xref>).</p>
<fig id="F2" position="float">
<label>FIGURE 2</label>
<caption>
<p>3D surface plot <bold>(A and C)</bold> and contour plot <bold>(B and D)</bold> from the Kernel Density Estimator. Data distribution of CH<sub>4</sub> response (RR CH<sub>4</sub>) according to the variation of NPs concentration (mg/L) <bold>(A and B)</bold>. Data distribution of CH<sub>4</sub> response (RR CH<sub>4</sub>) according to the variation of NPs size (nm) <bold>(C and D)</bold>. The surface elevation is proportional to the data density with the values referring to the coordinates of the horizontal axes.</p>
</caption>
<graphic xlink:href="fnano-06-1406344-g002.tif"/>
</fig>
<p>Collecting data covering a wide range of parameters (i.e., substrate types and NPs sizes), allows more details to be compared beyond the composition of NPs. Magnetite NPs were the only composition that had enough data for a more robust evaluation of its effect on different tested parameters.</p>
<p>Magnetite NPs data was divided into 3 size ranges: &#x3c;50&#xa0;nm, between 50 and 100&#xa0;nm and &#x3e;100&#xa0;nm (<xref ref-type="fig" rid="F3">Figure 3A</xref>). The impact of magnetite NPs on CH<sub>4</sub> production was compared by size range. NPs up to 50&#xa0;nm and between 50 and 100 had better results. NPs greater than 100&#xa0;nm showed worse and even inhibitory effects in CH<sub>4</sub> production (<xref ref-type="fig" rid="F3">Figure 3A</xref>). The effect of the NPs from 50 to 100&#xa0;nm on CH<sub>4</sub> production was significantly higher than the &#x3e;100&#xa0;nm group (Kruskal-Wallis, <italic>p</italic> &#x3d; 0.0422). There was no significant difference between NPs &#x3c;50&#xa0;nm and between 50 and 100&#xa0;nm. However, even though &#x3c;50&#xa0;nm had the higher results on CH<sub>4</sub> responses (RR), NPs between 50 and 100&#xa0;nm had a greater amount of data with greater increases in CH<sub>4</sub> production than the other ranges, suggesting a more consistent effect in CH<sub>4</sub> production (<xref ref-type="fig" rid="F3">Figure 3A</xref>).</p>
<fig id="F3" position="float">
<label>FIGURE 3</label>
<caption>
<p>Size distribution of magnetite NPs and their impact on AD. Impacts between three size ranges on CH<sub>4</sub> production <bold>(A)</bold>; Scatter plot of impacts on CH<sub>4</sub> production (RR) of NPs smaller than 50&#xa0;nm as a function of added concentration <bold>(B)</bold>; Scatter plot of impacts on CH<sub>4</sub> production (RR) of NPs between 50 and 100&#xa0;nm as a function of added concentration <bold>(C)</bold>.</p>
</caption>
<graphic xlink:href="fnano-06-1406344-g003.tif"/>
</fig>
<p>The impact of magnetite NPs on CH<sub>4</sub> production was also evaluated as a function of the added concentration for each of the size ranges. Only NPs with dimensions up to 50&#xa0;nm demonstrated a significant correlation (<italic>p</italic> &#x3c; 0.05), with CH<sub>4</sub> production, despite a relatively lower fit (r2 &#x3d; 0.06324), clearly indicating the larger benefits of addition of less than 100&#xa0;mg/L (<xref ref-type="fig" rid="F3">Figure 3B</xref>). In other words, adding more NPs does not generate better results in CH<sub>4</sub> production, it can actually cause the inverse effect. However, the lower line fit corroborates that it is not just the concentration of NPs that defines the positive effect in CH<sub>4</sub> production. For NPs with dimensions between 50 and 100&#xa0;nm, similar impacts on CH<sub>4</sub> production were observed for concentrations of approximately 50&#xa0;mg/L (<xref ref-type="fig" rid="F3">Figure 3C</xref>).</p>
<p>Considering that pre-treatments can increase CH<sub>4</sub> production (<xref ref-type="bibr" rid="B9">Anacleto et al., 2024</xref>), we also evaluated the magnetite response when applied associated with and without a pre-treatment. It was possible to observe that when magnetite NPs were added with some kind of pre-treatment it had only beneficial effects (<xref ref-type="fig" rid="F4">Figure 4</xref>).</p>
<fig id="F4" position="float">
<label>FIGURE 4</label>
<caption>
<p>Scatter plots of response ratio of methane yield of magnetite NPs analyzed separated by experiments performed only in mesophilic batch without <bold>(A)</bold> and with <bold>(B)</bold> some kind of pre-treatment strategy linked. Forest plot of response ratio of experiments performed with magnetite NPs addition linked with some pre-treatment <bold>(C)</bold>. Bars represent the 95% CI and the icons the mean RR. Different letters in C indicate significant differences between the treatment groups.</p>
</caption>
<graphic xlink:href="fnano-06-1406344-g004.tif"/>
</fig>
<p>It is important to highlight that the addition of NPs was not considered as a pre-treatment. Evaluating the role of NPs as an AD pre-treatment has been observed by some studies (<xref ref-type="bibr" rid="B48">Su et al., 2019</xref>; <xref ref-type="bibr" rid="B49">Tedesco et al., 2020</xref>) and may be worth future investigation, but it was not the goal of this study.</p>
</sec>
</sec>
<sec sec-type="discussion" id="s4">
<title>4 Discussion</title>
<p>The main compositions of NPs with better average effects on CH<sub>4</sub> production were those of cobalt, zero valent iron and magnetite. It is worth noting that the number of experiments using magnetite NPs is much higher than for iron and cobalt. Magnetite NPs popularity and performance may be related to the diversity of effects reported for this composition, especially its driving role in DIET (<xref ref-type="bibr" rid="B16">Cruz Viggi et al., 2019</xref>; <xref ref-type="bibr" rid="B32">Jin et al., 2019</xref>). Magnetite is a metal oxide obtained relatively easily, most often by the process of co-precipitation or hydrothermal decomposition (<xref ref-type="bibr" rid="B44">Reddy et al., 2012</xref>). Despite being the most studied NPs, the majority of the studies that presented enough information about NPs did not get much more depth discussions about the microbiology perspective, being limited just to observations about chemical parameters (i.e., VFAs, pH, H<sub>2</sub>S variations).</p>
<p>Analyzing both structural and functional changes in the community as well as the chemical characteristics is essential to a better understanding of magnetite effects in AD. This highlights the importance of interdisciplinary collaborations in this kind of studies. However, few studies did connect their NPs results with the microbiologic analysis. <xref ref-type="bibr" rid="B31">Huang et al. (2020)</xref> used 8&#xa0;mM of magnetite in the AD of rice plantation residues and observed that there was a modulation of the microbial community with the enrichment of the Geobacter and Methanosaeta genera, which also perform DIET, and increase of substrate degradation in addition to increasing the methanogenic activity (<xref ref-type="bibr" rid="B31">Huang et al., 2020</xref>). <xref ref-type="bibr" rid="B32">Jin et al. (2019)</xref> applied 20&#xa0;mM of magnetite into artificial wastewater with high sulfate concentration and increased CH<sub>4</sub> production and the number of bacteria genera related to sulfate reduction and methanogenic archaea.</p>
<p>These results indicate the stimulation of DIET among these microorganisms and therefore add a potential tool for &#x201c;H<sub>2</sub>S removal&#x201d; to the possible advantages of using magnetite NPs in AD (<xref ref-type="bibr" rid="B32">Jin et al., 2019</xref>). In addition to the modulation of the microbial community by stimulating DIET, the release of Fe<sup>&#x2b;2</sup> ions can favor the formation of iron sulfide salts, helping to mitigate the formation of H2S, which is toxic to a series of microorganisms. Increase in H<sub>2</sub>S concentrations may result in pH decrease in the system and also in high corrosion of pipes and other facilities, in addition to presenting significant risks to human health when inhaled (<xref ref-type="bibr" rid="B50">Truong et al., 2006</xref>; <xref ref-type="bibr" rid="B11">Appels et al., 2008</xref>).</p>
<p>Even fewer studies explored both the relation between the NPs and the microbial community. <xref ref-type="bibr" rid="B14">Casals et al. (2014)</xref>, reported changes in the magnetite structure throughout the municipal waste AD process. Authors observed that not only a NPs size decrease, but also a loss of Fe<sup>&#x2b;2</sup> NPs content. The sustained release of iron from magnetite NPs stimulated the activity of methanogens without causing toxicity to the system, leading to an increase in the production of biogas by 180% and even the total CH<sub>4</sub> percentage (<xref ref-type="bibr" rid="B14">Casals et al., 2014</xref>). Fe<sup>&#x2b;2</sup> ions are of great importance in methanogenic metabolism, but it is noteworthy that iron ions can also be released by iron oxides such as hematite, maghemite and magnetite, depending on their crystallographic characteristics, which are determinant in the dissolution of these minerals (<xref ref-type="bibr" rid="B7">Allen et al., 1988</xref>; <xref ref-type="bibr" rid="B36">Lagoeiro, 1998</xref>). In studies involving species of the genus Methanothermobacter, the importance of iron supply for the synthesis of a series of enzymes such as hydrogenases, dehydrogenases and reductases, in addition to ferredoxins, was observed (<xref ref-type="bibr" rid="B34">Kaster et al., 2011</xref>).</p>
<p>It is worth noting that merging different amounts of more than one composition of NPs might also display good improvements in CH<sub>4</sub> yields. <xref ref-type="bibr" rid="B26">Hassanein et al. (2019)</xref> tested different concentrations of Ni, Co, Fe and magnetite and then combinations between these compositions in the AD of poultry waste. These authors observed that the concentrations of 4.5&#xa0;mg/L of Co, 100&#xa0;mg/L of Fe and 15&#xa0;mg/L of magnetite increased by circa 30% the CH<sub>4</sub> production, and significantly decreased H<sub>2</sub>S production (<xref ref-type="bibr" rid="B26">Hassanein et al., 2019</xref>). Similar mixtures also promoted an increase of 23.7% in the production of biogas and a significant depletion in the production of H<sub>2</sub>S in large scale digesters (30&#xa0;L) (<xref ref-type="bibr" rid="B25">Hassanein et al., 2021</xref>). The benefits of NPs such as Co and Ni have been attributed to a possible supplementation of these elements as important components for some enzymatic processes for the microorganisms&#x2019; metabolism. For the Co NPs, for example, as it is necessary for synthesizing cobalamin and coenzyme B12, important parts of enzymatic complexes are involved in methanogenesis. Thus, supplementing this and other trace elements through NPs benefits metabolic improvements in AD (<xref ref-type="bibr" rid="B58">Zhang et al., 2009</xref>).</p>
<p>Depending on their concentration, smaller magnetite NPs seem to achieve a more effective result in the production of biogas (<xref ref-type="fig" rid="F3">Figures 3A, B</xref>). The NPs&#x2019; surface area is inversely proportional to their average size, especially considering that most NPs usually have spherical shape (<xref ref-type="bibr" rid="B33">Juntupally et al., 2017</xref>; <xref ref-type="bibr" rid="B37">Liu et al., 2021</xref>; <xref ref-type="bibr" rid="B57">Zaidi et al., 2021</xref>; <xref ref-type="bibr" rid="B56">Yu et al., 2022</xref>). Thus, the addition of NPs with smaller dimensions would have comparably more advantages over larger ones, in addition to potentially presenting better dispersion with less material expense in the sludge present in the reactors.</p>
<p>However, it was observed that, even though &#x3c;50&#xa0;nm NPs have the highest individual effect on CH<sub>4</sub> production, NPs between 50 and 100&#xa0;nm promote a mean larger increase in CH<sub>4</sub> production (<xref ref-type="fig" rid="F3">Figure 3A</xref>), suggesting that intermediate NPs may be more predictable and less variable impacts on biogas production. The increase of CH<sub>4</sub> production of this size range does not have a significant correlation with its concentration, suggesting that more factors are involved in its effect on AD.</p>
<p>The findings that NPs concentrations below 100&#xa0;mg/L with &#x3c;50&#xa0;nm sizes (<xref ref-type="fig" rid="F3">Figure 3</xref>), suggest a possible &#x201c;limit&#x201d; in the concentration for the use of magnetite, that could be attributed to their probable dissolution over time, releasing Fe<sup>&#x2b;2</sup> and Fe<sup>&#x2b;3</sup> ions. This could be potentially beneficial, especially considering that Fe is of great importance in the formation of enzymes important in the metabolism of most microorganisms involved in AD. However, it should always be remembered that iron becomes toxic to most microorganisms at higher concentrations (<xref ref-type="bibr" rid="B22">Goswami et al., 2016</xref>).</p>
<p>As NPs between 50 and 100&#xa0;nm seem to be more resistant to dissolution and, therefore, less likely to cause overdose stress, they should be preferably used in AD. The lack of statistical correlation between concentration variables and the CH<sub>4</sub> production response for NPs between 50 and 100&#xa0;nm not only suggests that there are more variables influencing this impact, but that their effect must go beyond the release of iron ions, since the high concentration could easily cause stress. Thus, it is likely that NPs in this size range have a driving influence as a stimulus to DIET rather than iron release. However, such deductions can only be confirmed with certainty from the use of analyzes of the microbial community linked to the conductivity profile of the digestate (<xref ref-type="bibr" rid="B38">Lovley, 2017</xref>; <xref ref-type="bibr" rid="B21">Fu et al., 2019</xref>).</p>
<p>An increase of studies in crystallographic characterization of the NPs applied to AD could be very enlightening to elucidate their effect, especially because of the existence of irregular faces in the crystals (e.g., the non-typical regular expected geometric morphologies like spherical, cuboid, etc.) that provide electronic instability in the molecular structure of the crystal. Apparently, it seems that NPs with shapes with inclusions that result in the largest contact surface would be of greater interest if the purpose of their addition were strictly the release of iron ions. However, stating that the impact of NPs on the system is solely caused by its iron release is only possible with refined characterization techniques of the nanomaterials added (i.e., analytical microscopy techniques). The crystallographic characteristics of the NPs materials used have an important hole in the resistance and hardness of these NPs. It means that depending on the crystallography of the NPs, their degradation inside the AD system may differ. It can be advantageous if the NPs benefits are related to the sustained release of some elements (i.e., Fe and Co), but it also means that some NPs compositions may persist for longer periods inside the AD than others. Magnetite, for example, has three crystallographic faces: [110], [111] and [100]. According to studies by <xref ref-type="bibr" rid="B7">Allen et al. (1988)</xref> and <xref ref-type="bibr" rid="B55">Yamazaki (2020)</xref>, the [111] face is twice as prone to dissolution due to the compact molecular arrangement of oxygen atoms, which would be more easily protonated in acidified environments. This kind of characterization was rarely observed in the studies involving NPs addition in AD (<xref ref-type="bibr" rid="B14">Casals et al., 2014</xref>).</p>
<p>
<xref ref-type="bibr" rid="B30">Hu et al. (2010)</xref> described that magnetite NPs with distinct surfaces, dissolution and aggregation potential presented different stability and aggregation/disaggregation behaviors according to organic matter concentrations and pH and that this also had a larger impact on particle surface charge status. This means that, depending on where and how NPs are released, their impact can vary from just being suspended particles, as an ions source, to potentially contaminants absorption. This result highlights the need for studies involving the nanotechnology application to AD. Even though a large amount of data based on the addition of magnetite NPs allowed the establishment of clear patterns, more experiments about their structure and other compositions could contribute to reach a deeper impact on all potential roles of NPs to AD.</p>
<p>The limited number of studies suggests a knowledge gap associated with the characterization of the changes promoted directly on the AD microbial community, but also the crystalline and chemical profiles of the NPs employed. Therefore, it is important to standardize the minimum information required in these types of research to allow the comparison, validation and reproducibility of the results described in the literature.</p>
</sec>
<sec sec-type="conclusion" id="s5">
<title>5 Conclusion</title>
<p>Here, we observed that some NPs have a direct and stimulatory effect on CH<sub>4</sub> production, especially magnetite NPs, while other chemical compositions had inhibitory and/or opposite effects depending on the substrate, chemical composition and concentration used in the AD process. Magnetite NPs showed greater benefits with &#x3c;100&#xa0;nm sizes and &#x3c;100&#xa0;mg/L concentrations; thus these are potentially the future of Nanotechnology in AD for enhancing biogas production. In addition, the fact that the increase in the concentration and size of the NPs used does not directly result in better results in the production of CH<sub>4</sub> has a significant impact on the cost of NPs addition in AD. The development of methods to increase CH<sub>4</sub> production in AD by the addition of NPs is a promising strategy. Future studies must include proper characterization of the NPs studied as well as microbial community analysis for better understanding of its effects. For a more in-depth discussion on the NPs crystallographic characteristics, it would be necessary to carry analytical electron microscopy techniques like high-resolution transmission electron microscopy (HRTEM), electron energy loss spectroscopy (EELS) analysis, X-ray diffraction (XRD), and X-ray absorption spectroscopy (XANES). These techniques would allow the understanding of the size, shape and structural behavior of the NPs, as well as its possible ion releases and chemical bondings during AD.</p>
</sec>
</body>
<back>
<sec sec-type="data-availability" id="s6">
<title>Data availability statement</title>
<p>The original contributions presented in the study are included in the article/<xref ref-type="sec" rid="s11">Supplementary Material</xref>, further inquiries can be directed to the corresponding authors.</p>
</sec>
<sec id="s7">
<title>Author contributions</title>
<p>JCC: Conceptualization, Data curation, Investigation, Methodology, Writing&#x2013;original draft. ER: Data curation, Writing&#x2013;original draft. IT: Writing&#x2013;original draft, Methodology, Formal analysis. AE-P: Conceptualization, Funding acquisition, Writing&#x2013;review and editing, Project administration, Supervision. FA: Conceptualization, Funding acquisition, Project administration, Supervision, Writing&#x2013;review and editing.</p>
</sec>
<sec sec-type="funding-information" id="s8">
<title>Funding</title>
<p>The author(s) declare that financial support was received for the research, authorship, and/or publication of this article. Financial support was provided by the Brazilian agencies CNPq, CAPES, and FAPERJ. This study was financed in part by the Coordena&#xe7;&#xe3;o de Aperfei&#xe7;oamento de Pessoal de N&#xed;vel Superior&#x2013;Brasil (CAPES)&#x2014;Finance Code 001. AE-P gratefully acknowledges financial support from the Swedish Energy Agency (project number P2023-00827) and the funding agency Formas (Grant number: 2021-02429). AE-P received funds from the Swedish Energy Agency (Grant number: 35624-2) at the Biogas Research Solution Center hosted by Link&#x00f6;ping University, Sweden.</p>
</sec>
<ack>
<p>The authors acknowledge the Brazilian agencies CNPq, CAPES, FAPERJ.</p>
</ack>
<sec sec-type="COI-statement" id="s9">
<title>Conflict of interest</title>
<p>The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.</p>
</sec>
<sec sec-type="disclaimer" id="s10">
<title>Publisher&#x2019;s note</title>
<p>All claims expressed in this article are solely those of the authors and do not necessarily represent those of their affiliated organizations, or those of the publisher, the editors and the reviewers. Any product that may be evaluated in this article, or claim that may be made by its manufacturer, is not guaranteed or endorsed by the publisher.</p>
</sec>
<sec id="s11">
<title>Supplementary material</title>
<p>The Supplementary Material for this article can be found online at: <ext-link ext-link-type="uri" xlink:href="https://www.frontiersin.org/articles/10.3389/fnano.2024.1406344/full#supplementary-material">https://www.frontiersin.org/articles/10.3389/fnano.2024.1406344/full&#x23;supplementary-material</ext-link>
</p>
<supplementary-material xlink:href="Table1.DOCX" id="SM1" mimetype="application/DOCX" xmlns:xlink="http://www.w3.org/1999/xlink"/>
</sec>
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