The authors are grateful to Marco Romani and Eleonora Francesca Miniotti and the staff of Research Centre of Ente Nazionale Risi, who hosted the experimental trial where the video was created. We also want to thank Francesco Alluvione for the first scientific flash leading to protocol realization and to Joan Leonard for her precious work of English editing of the manuscript.

1. Chamber Design
<ol>
	<li>Assemble each chamber with three main elements: an anchor, a lid, and at least four extensions.</li>
	<li>Build the anchor in the shape of a 75 cm x 36 cm x 25 cm (L x W x H) rectangular box made of stainless steel. Weld a water-fillable channel 10-13 mm (w) x 13-20 mm (h) to the upper rectangular perimeter of the anchor. Drill two holes (1 cm in diameter) on each of the four sides of the anchor 5 cm from the upper water channel. 
	NOTE: Anchors isolate the soil column beneath the chamber and prevent lateral diffusion. The channel is necessary to achieve an effective seal between the anchor and the lid. The holes ensure a fast discharge of ponding water within the chamber during the field drainage events.</li>
	<li>Build a lid in a rectangular box shape of stainless steel and sized 75 cm x 36 cm x 20 cm (L x W x H) with an internal volume of 54 L. Ensure that it fits the water-fillable channel perfectly.</li>
	<li>Cover the lid with a 4-cm thick closed cell foam that is, in turn, covered by a light reflective (aluminum-like) coating. 
	NOTE: It is necessary to equip the chamber with a temperature control system so as not to promote microbial activity artificially, consequent to an unintended temperature increase during chamber closure.</li>
	<li>Equip each lid with a vent valve, made of a curved piece of plastic tubing (1.5 cm x 24 cm, D x L) sized for the chamber volume and wind conditions25. Connect the vent valve to the lid by drilling a 1.5 cm hole in the center of one of the two 36-cm lateral faces of the lid. Then secure the plastic tube with a screw connector. 
	NOTE: The vent valve is recommended for transmitting any barometric changes to the enclose air volume and compensating for volume changes that occur during chamber enclosure and air sampling withdrawal, and/or associated with the uncontrolled, enclosed air temperature changes. The vent should be a tube and not simply a hole, so that air exhausted from the enclosure during a drop in external pressure is captured within the tube and then returned to the enclosure in case the pressure increases again. The curved shape minimizes the potential of chamber depressurization due to wind flow over its external opening, i.e., the Venturi effect26.</li>
	<li>Provide a sampling port for withdrawing gas samples. Make a 1 cm hole in the center of the top of the lid in a 7-cm x 7-cm niche dug into the cell foam. Close the hole with a rubber stopper that fits a Teflon tube (3 mm internal diameter, 20 cm length). Ensure that the Teflon tube extrudes 3 cm and intrudes 17 cm when the stopper is placed in its niche. Connect the outwards part of the tube to a one-way stopcock to manage the opening/closure of the sampling port.</li>
	<li>Equip each lid with a 12V PC fan powered by a 12V-7Ah rechargeable and portable battery, to ensure air mixing. Situate the PC fan on the internal upper side of the lid&#160;by means of two steel fasteners bolted to the internal side of the chamber. 
	NOTE: Air mixing is necessary to prevent any gas stratification within the chamber headspace during enclosure, especially when large quantities of vegetation are present.</li>
	<li>Build a number of extensions to include the plants inside the chamber when they are fully grown. For example, if the plants will not exceed 80 cm height at their final size, build 4 extensions for each chamber. Ensure that each is a rectangular box made of stainless steel and 75 x 36 x 25&#160;cm (L x W x H) in size, and with an upper water-fillable channel, as described for the anchor. Add these extensions between an anchor and lid during the chamber enclosure, depending on the crop stage.</li>
</ol>
2. Anchor Deployment and Arrangement of the System for Preventing Soil Disturbance
<ol>
	<li>Insert anchors into the soil after field preparation (i.e., after all tillage operations) and before rice seeding. If possible, do not remove the anchors for the duration of the measurement period unless strictly necessary, such as for tillage operation between two subsequent cropping seasons. Insert the anchors a few days (minimum of 2 days) before flux measurement starts, so that the soil re-equilibrates after disturbance during installation.</li>
	<li>Before distributing any anchor on the bare soil, place 30 cm x 3 m (W x L) wood planks (in the field and walk exclusively on them during the following operations to avoid soil compaction. Place the planks at least 0.5 m from each anchor.</li>
	<li>Insert anchors at a depth of 40 cm into the ploughed pan to secure the anchor and avoid accidental lateral bending after field flooding, especially when extension is used. After the anchors have been positioned on the soil in the assigned field area, place a custom-assembled steel frame atop the anchor, while maintaining proper alignment of both components. Hammer the anchor into the soil, and pay attention to hit the frame and not the anchor, to prevent damage to the anchor. After insertion, ensure that the anchors are perfectly flat by using a bubble level.</li>
	<li>Insert at least three anchors for each monitored treatment (i.e., replicates). Respect a minimum distance between adjacent chambers of 1 m, in case more than one chamber within the same experimental unit needs to be used.</li>
	<li>Once all the anchors are inserted, temporarily remove the wooden walking planks, and then rearrange the field with a system of catwalks originating from the lateral banks of the field. In detail, place in the field concrete blocks at least 0.5 m far from the anchors, in numbers sufficient to hold a system of wooden planks. 
	NOTE: Catwalks are necessary to prevent soil disturbance during subsequent GHG measurement events. The number of concrete blocks will depend on the distance of the anchors from the lateral banks of the field. Each 3-m long plank will require two concrete blocks for stability.</li>
</ol>
3. Chamber Closure and GHG Measurements
<ol>
	<li>Run measurement events always at the same time each day, to minimize diurnal variability. 
	NOTE: The moment best representing average daily flux is when temperatures are close to the daily mean, i.e., at 10 a.m. This is the best way to estimate the daily cumulative value from a unique measurement in the day27.</li>
	<li>When arriving in the field, place wooden planks on the concrete blocks to reach anchors. Afterwards, fill the channels placed on the upper perimeter of the anchors with water. Carefully add extensions as necessary to enclose all the plants within the chamber headspace. 
	NOTE: This operation should be performed by two operators in order to avoid any crop damage. Fill with water the channel of each used extension as well.</li>
	<li>Close each chamber, placing the lid in the water-filled channel of the upper extension. During the closing period (typically 15-20 min, but modifiable for meeting experimental needs), withdraw at least three gas samples at equal time-intervals (e.g., just after closure, after 10 min, and after 20 min). At samplings, connect a 50-mL syringe equipped with a one-way stopcock to the sampling port, then open the two stopcocks (one in the syringe and one in the sampling port), &#34;rinse&#34; the syringe by moving the plunger up and down three times before withdrawing 35 mL of chamber headspace, and then finally close the two stopcocks. Disconnect the syringe from the sampling port, and store it apart. 
	NOTE: When operating near the chambers during field flooding, avoid any disturbance or turbulence of ponding water as it can produce atypical gas bubbles and alter GHG flux estimates.</li>
	<li>Add several extensions suitable to contain rice plants. Interpose extensions between the anchor and lid, filling all water-fillable channels. Use one extension when the rice is 20-40 cm above the soil surface (as measured with a folding ruler); use two extensions when the rice is 40-60 cm, and so on.</li>
	<li>During the chamber closure, measure the headspace temperature every 3-5 min with a temperature datalogger.</li>
	<li>Consider the sampling event complete after the closure period. Remove the lid and subsequently all used extensions. 
	NOTE: To shorten the time required to monitor several chambers, and avoid diurnal variability bias, it is possible to measure contemporaneously more than one chamber. For example, with a team of two operators, it is possible to manage sampling from up to 10 adjacent chambers in 30 min.</li>
	<li>After each sampling event, measure the headspace height of each chamber from the soil (when the field is drained) or from ponding water (when the field is flooded) using a folding ruler.</li>
</ol>
4. Sample Handling and Analyses
<ol>
	<li>Prior to each paddy field visit, evacuate three (or more) 12-mL glass vials closed with butyl-rubber septa per field chamber in the laboratory. 
	NOTE: Vials can be re-used. Before each re-use, it is necessary to substitute the rubber septum and restore the vacuum.</li>
	<li>Following the withdrawal of gas from the chamber headspace, transfer the syringe-filed samples to the evacuated vials quickly because plastic syringes, even with closed stopcock, cannot guarantee no leakage28. Perform the transfer with a 25-gauge hypodermic needle. First, fit the needle into the stopcock, then open it and flush the needle with 5 mL of sample. Next, insert the needle into the septum and push the remaining 30 mL sample into a pre-evacuated vial, and then withdraw the needle. 
	NOTE: The sample inside the vial is &#62; 2 atm pressurized to provide gas for multiple analyses and to avoid any mass flux from the external environment toward the sample, which would alter its GHG concentration. The 5-mL sample flush of the needle allows it to be reused for other samples.</li>
	<li>At the end of each sampling event, transfer the vials to the laboratory for analysis. 
	NOTE: Although conservation of the sample is guaranteed at 20 &#176;C for more than four months28, it is always preferable to perform analytical procedures as soon as possible.</li>
	<li>Determine gas concentrations in the collected samples using an automated gas chromatograph equipped with an electron capture detector for N2O determination and a flame ionization detector for CH4 determination29. In addition to the samples, measure the concentrations of a number of known N2O and CH4 samples (standards) in order to perform an accurate calibration. 
	NOTE: The concentration of the standards should cover the range of expected concentrations of the samples.</li>
</ol>
5. Flux Estimation
<ol>
	<li>The model chosen for flux estimation should predict the flux at the moment of chamber deployment, i.e., the ideal moment at which the true exchange rate is unaffected by chamber presence.</li>
	<li>After determining the concentration of gas on a base volume via gas chromatographic analysis and subsequent calibration, calculate the absolute amount of substance (N2O or CH4) present within the headspace, according to the air molar volume derived from the Ideal Gas Law. 
	NOTE: It is highly advisable to produce a calibration curve associated with each sampling event, since gas chromatograph can suffer slight signal alterations as a function of temperatures, which can lead to errors.</li>
	<li>Choose between a linear or non-linear model, depending on the emission pattern. Among available non-linear models, select the HM model25, eventually relying on the HMR package9. If you have three time-points (time 0, time 1 and time 2) choose based on the slope of the two segments: in the event that the slope between time 0 and time 1 is greater in absolute values than the slope between time 1 and time 2 and slopes are concordant, use the HM model; in all the other cases, use a linear model. If you have more than three time-points, fit the two models using HMR, but afterwards choose on your own based on visual evaluation of the model best fitting the trend.</li>
	<li>Set to zero fluxes under the Minimum Detectable Flux, calculated according to the detection limit of gas chromatograph and operating conditions (temperature, pressure, headspace volume).</li>
	<li>To describe the seasonal variability of fluxes properly, provide at least 40 sampling events throughout the year (monitoring both cycles and intercropping periods), intensifying the sampling frequency near pivotal events of the cropping cycle, such as tillage, fertilizations, drainage, establishment of flooding conditions, surfacing of rice seedlings from ponding water, and so on. Transition from a maximum frequency of daily (e.g., at drainage periods, fertilizations, etc.) to a minimum of once bi-weekly (e.g., during winter).</li>
</ol>

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The authors have nothing to disclose.

The application of the static closed-chamber technique in paddy rice consists of five essential phases, corresponding to the main sections described in the Protocol. Each phase contains critical points of which to be aware, and indicators to check the success of phase implementation, as summarized in Figure 4.
Most critical points described in Figure 4 are already addressed in the protocol and could be easily resolved by following the included recommendations. The trickiest critical point of the present protocol is the calculation of fluxes based on GHG concentration variation during chamber enclosure. Also when using the package HMR for calculations, it is advisable to select the best model to apply, independent of the HMR suggestion, based on visual evaluation. This is even more important when concentrations in time deviate from the expected behavior of consistent increase or decrease.
Several variations of the described technique are possible within the structure of the main principles, especially related to chamber geometry (the chamber can also be cylindrical), chamber material (any non-permeable, non-reactive, non-source/sink of gas molecules under consideration, and easy to use material, such as Teflon which is suitable, but more expensive), and type of GHG analyzer (portable systems are available that do not require gas transfer in syringes and vials). Nevertheless, measuring GHG fluxes from soils is a pivotal step required to monitor climate change sources, to understand processes leading to emissions, to study the effectiveness of possible mitigation strategies, and to inform models for predicting future scenarios. It is more important than ever to adopt common protocols that will build a uniform body of knowledge to monitor agroecosystems for the global GHG budget.
The Ideal Gas Law is here applied to calculate the molar volume of real gases. This application is widely used and accepted in the specific body of literature, and the ideal gas approximation can be used with reasonable accuracy30.
Finally, depending on the experimental questions to be addressed within the context of GHG measurements, consider measuring the main drivers of CH4 and N2O emissions, such as soil temperature, redox potential, soil pore Dissolved Organic Carbon concentrations, soil pore nitrates, and ammonium concentration.

Agriculture is a productive sector that, together with forestry and other land use, produces approximately 21% of global GHG emissions1. Accurate measurement of agricultural soil GHG emissions is key not only to establish the proper role determination of agroecosystems as both source and sink in climate change2, but also to define appropriate and effective mitigation strategies within the framework of the Paris agreement targets.
Emission fluxes of the two most important GHGs produced by agricultural soils (i.e., N2O and CH4) are measurable by either micrometeorological methods or the closed-chamber technique3. The vast majority of studies reporting data on GHG emissions from soils over the past three decades applied the closed-chamber technique4,5 that was first described in 19266. Several efforts have been made to fine-tune the technique, and overcome all sources of experimental artifact and bias7,8,9,10,11,12,13,14. Specific protocols, compiled at different times, aimed to standardize the methodologies15,16,17,18,19, and scientific attempts are still underway to establish the best practices for employing the technique and minimizing bias in flux estimates.
The static closed-chamber technique, whose application to paddy soils is described in this paper, relies on the diffusion theory and provides the enclosure of a known volume of air above a portion of soil surface for a precise period. During the enclosure, CH4 and N2O molecules migrate by diffusion along a natural concentration gradient from soil pore air, where they are produced by specific microorganisms (methanogens in the case of CH4; nitrifiers and denitrifiers for N2O), to the air enclosed within chamber headspace, eventually through the flooding water or the plant aerenchyma. The concentrations of the two gases within the chamber headspace increase over time, and occurrence of these increases provides for flux estimates.
With respect to the micrometeorological methods, closed chamber measurements are often preferred for differing land use types and ecosystems when studying GHG fluxes at the plot scale, because they are not encumbered by a large homogenous field2 or high logistical and investment requirements20. Moreover, they allow the simultaneous analysis of manipulated experiments, such as different agronomical practices or other field treatments12,21. Finally, the technique allows identification of the relationships among ecosystem properties, processes, and fluxes. Alternatively, two main drawbacks of the technique include the relatively inefficient exploration of spatial and temporal heterogeneity, and the effects of soil disturbance due to chamber deployment22. However, these detriments can, at least partially, be overcome with: proper chamber design (to minimize soil disturbance), adoption of a sufficient number of replicates (to explore spatial variability), and automated system use that permits intensification of the frequency of daily measurements (to account for diurnal variability) or regular (same time of day) measurement (to omit the effect of temperature in residual variability).
A first application of the method to a paddy field dates back to the early 80&#39;s23, and the main peculiarities of its use with respect to upland fields are the presence of flooding water on soil and the need to include plants within the headspace during chamber enclosure. As carefully described in this paper, the first trait implies the need for specific systems to prevent water disturbance during measurement events, to avoid flux overestimates caused by turbulence-induced enhancement of gas diffusion through flooding water. The second essential trait is to account for gas transport through rice aerenchyma, representing up to 90% of emitted CH424, which requires proper devices to include plants during measurement events.

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assessment of methane and nitrous oxide fluxes from paddy field by means of static closed chambers maintaining plants within headspace

This protocol describes the measurement of greenhouse gas (GHG) emissions from paddy soils using the static closed chamber technique. This method is based on the diffusion theory. A known volume of air overlaying a defined soil area is enclosed within a parallelepiped cover (named &#34;chamber&#34;), for a defined period of time. During this enclosure period, gases (methane (CH4) and nitrous oxide (N2O)) move from soil pore air near their microbial source (i.e., methanogens, nitrifiers, denitrifiers) to the chamber headspace, following a natural concentration gradient. Fluxes are then estimated from chamber headspace concentration variations sampled at regular intervals throughout the enclosure and then analyzed with gas chromatography. Among the techniques available for GHG measurement, the static closed chamber method is suitable for plot experiments, as it does not require large homogenously treated soil areas. Furthermore, it is manageable with limited resources and can identify relationships among ecosystem properties, processes, and fluxes, especially when combined with GHG driving force measurements. Nevertheless, with respect to the micrometeorological method, it causes a minimal but still unavoidable soil disturbance, and allows a minor temporal resolution. Several phases are key to the method implementation: i) chamber design and deployment, ii) sample handling and analyses, and iii) flux estimation. Technique implementation success in paddy fields demands adjustments for field flooding during much of the cropping cycle, and for rice plant maintenance within the chamber headspace during measurements. Therefore, the additional elements to be considered with respect to the usual application of non-flooded agricultural soils consist of devices for: i) avoiding any unintended water disturbance that could overestimate fluxes, and ii) including rice plants within the chamber headspace to fully consider gases emitted through aerenchyma transportation.

Every measurement event produces a series of GHG concentrations over time for each of the monitored chambers that is the basis for estimating GHG fluxes. Basically, there is no particular need to discard data, but a high incidence of situations that fall outside the theoretical model of monotonic function (strictly increasing or decreasing) warrants attention on the accuracy of protocol application and possible unpredicted errors (e.g., vials leakage).
Figure 1 reports an entire year of correct example CH4 fluxes. As demonstrated with error bars, such results may vary greatly, mainly as a consequence of to the spatial heterogeneity of microbial processes responsible for GHG production. For users who experience high variability, such results do not necessarily signal bad results. To address high variability that makes treatment differences impossible to detect, simply increase the number of replicates.

In Figure 2, an example of poor exploration of seasonal variability is shown: the insufficient number of measuring events led to an underestimation of yearly fluxes.
Daily fluxes can be subsequently combined to calculate cumulative emissions over a solar year, over a cropping season, or over specific cropping stages. Typically, the calculation of cumulative fluxes relies on the linear change of fluxes between two subsequent measuring events. An example of cumulative fluxes is shown in Figure 3 for CH4.
<img alt="Figure 1" class="xfigimg" src="/files/ftp_upload/56754/56754fig1.jpg" />
Figure 1. Example of seasonal variation of CH4 daily fluxes from a flooded paddy field over a full year, including both a cropping cycle (from May to September) and inter-cropping periods. Error bars represent standard errors. <a href="https://cloudflare.jove.com/files/ftp_upload/56754/56754fig1large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 2" class="xfigimg" src="/files/ftp_upload/56754/56754fig2.jpg" /> 
Figure 2. Example of seasonal variation of CH4 daily fluxes from a flooded paddy field over a whole year, with an insufficient number of measuring events not well covering all the pivotal moments for GHG emissions. Error bars represent standard errors. <a href="https://cloudflare.jove.com/files/ftp_upload/56754/56754fig2large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 3" class="xfigimg" src="/files/ftp_upload/56754/56754fig3.jpg" /> 
Figure 3. Example of cumulative CH4 emissions over a cropping season. <a href="https://cloudflare.jove.com/files/ftp_upload/56754/56754fig3large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>
<img alt="Figure 4" class="xfigimg" src="/files/ftp_upload/56754/56754fig4.jpg" /> 
Figure 4. Main phases of method application with corresponding critical points and indicators of success. <a href="https://cloudflare.jove.com/files/ftp_upload/56754/56754fig4large.jpg" target="_blank">Please click here to view a larger version of this figure.</a>

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Assessment of Methane and Nitrous Oxide Fluxes from Paddy Field by Means of Static Closed Chambers Maintaining Plants Within Headspace

The overall goal of this protocol is to measure greenhouse gas emissions from paddy fields using the static closed chamber technique. The measurement system needs specific adjustments due to the presence of both a permanent water layer in the field and of the plants within the chamber headspace.

This protocol describes the measurement of greenhouse gas (GHG) emissions from paddy soils using the static closed chamber technique. This method is based ...

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12.2K Views.  University of Turin. The overall goal of this protocol is to measure greenhouse gas emissions from paddy fields using the static closed chamber technique. The measurement system needs specific adjustments due to the presence of both a permanent water layer in the field and of the plants within the chamber headspace.

Video: Assessment of Methane and Nitrous Oxide Fluxes from Paddy Field by Means of Static Closed Chambers Maintaining Plants Within Headspace

Expression of Recombinant Cellulase Cel5A from Trichoderma reesei in Tobacco Plants

Cellulose degrading enzymes, cellulases, are targets of both research and industrial interests. The preponderance of these enzymes in difficult-to-culture organisms, such as hyphae-building fungi and anaerobic bacteria, has hastened the use of recombinant technologies in this field. Plant expression methods are a desirable system for large-scale production of enzymes and other industrially useful proteins. Herein, methods for the transient expression of a fungal endoglucanase, Trichoderma reesei Cel5A, in Nicotiana tabacum are demonstrated. Successful protein expression is shown, monitored by fluorescence using an mCherry-enzyme fusion protein. Additionally, a set of basic tests are used to examine the activity of transiently expressed T. reesei Cel5A, including SDS-PAGE, Western blotting, zymography, as well as&#160;fluorescence and dye-based substrate degradation assays. The system described here can be used to produce an active cellulase in a short time period, so as to assess the potential for further production in plants through constitutive or inducible expression systems.

Expression of Recombinant Cellulase Cel5A from Trichoderma reesei in Tobacco Plants

Tobacco plants were used to produce a fungal cellulase, TrCel5A, via a transient expression system. The expression could be monitored using a fluorescent fusion protein, and the protein activity was characterized post-expression.

Cellulose degrading enzymes, cellulases, are targets of both research and industrial interests. The preponderance of these enzymes in difficult-to-culture ...

Measuring Fluxes of Mineral Nutrients and Toxicants in Plants with Radioactive Tracers

Unidirectional influx and efflux of nutrients and toxicants, and their resultant net fluxes, are central to the nutrition and toxicology of plants. Radioisotope tracing is a major technique used to measure such fluxes, both within plants, and between plants and their environments. Flux data obtained with radiotracer protocols can help elucidate the capacity, mechanism, regulation, and energetics of transport systems for specific mineral nutrients or toxicants, and can provide insight into compartmentation and turnover rates of subcellular mineral and metabolite pools. Here, we describe two major radioisotope protocols used in plant biology: direct influx (DI) and compartmental analysis by tracer efflux (CATE). We focus on flux measurement of potassium (K+) as a nutrient, and ammonia/ammonium (NH3/NH4+) as a toxicant, in intact seedlings of the model species barley (Hordeum vulgare L.). These protocols can be readily adapted to other experimental systems (e.g., different species, excised plant material, and other nutrients/toxicants). Advantages and limitations of these protocols are discussed.

In planta measurement of nutrient and toxicant fluxes is essential to the study of plant nutrition and toxicity. Here, we cover radiotracer protocols for influx and efflux determination in intact plant roots, using potassium (K+) and ammonia/ammonium (NH3/NH4+) fluxes as examples. Advantages and limitations of such techniques are discussed.

Unidirectional influx and efflux of nutrients and toxicants, and their resultant net fluxes, are central to the nutrition and toxicology of plants. ...

Measurement of Greenhouse Gas Flux from Agricultural Soils Using Static Chambers

Measurement of greenhouse gas (GHG) fluxes between the soil and the atmosphere, in both managed and unmanaged ecosystems, is critical to understanding the biogeochemical drivers of climate change and to the development and evaluation of GHG mitigation strategies based on modulation of landscape management practices. The static chamber-based method described here is based on trapping gases emitted from the soil surface within a chamber and collecting samples from the chamber headspace at regular intervals for analysis by gas chromatography. Change in gas concentration over time is used to calculate flux. This method can be utilized to measure landscape-based flux of carbon dioxide, nitrous oxide, and methane, and to estimate differences between treatments or explore system dynamics over seasons or years. Infrastructure requirements are modest, but a comprehensive experimental design is essential. This method is easily deployed in the field, conforms to established guidelines, and produces data suitable to large-scale GHG emissions studies.

This article showcases the static chamber-based method for measurement of greenhouse gas flux from soil systems. With relatively modest infrastructure investments, measurements may be obtained from multiple treatments/locations and over timeframes ranging from hours to years.

Measurement of greenhouse gas (GHG) fluxes between the soil and the atmosphere, in both managed and unmanaged ecosystems, is critical to understanding the ...

Removal of Trace Elements by Cupric Oxide Nanoparticles from Uranium In Situ Recovery Bleed Water and Its Effect on Cell Viability

In situ recovery (ISR) is the predominant method of uranium extraction in the United States. During ISR, uranium is leached from an ore body and extracted through ion exchange. The resultant production bleed water (PBW) contains contaminants such as arsenic and other heavy metals. Samples of PBW from an active ISR uranium facility were treated with cupric oxide nanoparticles (CuO-NPs). CuO-NP treatment of PBW reduced priority contaminants, including arsenic, selenium, uranium, and vanadium. Untreated and CuO-NP treated PBW was used as the liquid component of the cell growth media and changes in viability were determined by the MTT (3-(4,5-dimethylthiazol-2-yl)-2,5-diphenyltetrazolium bromide) assay in human embryonic kidney (HEK 293) and human hepatocellular carcinoma (Hep G2) cells. CuO-NP treatment was associated with improved HEK and HEP cell viability. Limitations of this method include dilution of the PBW by growth media components and during osmolality adjustment as well as necessary pH adjustment. This method is limited in its wider context due to dilution effects and changes in the pH of the PBW which is traditionally slightly acidic&#160;however; this method could have a broader use assessing CuO-NP treatment in more neutral waters.

Removal of Trace Elements by Cupric Oxide Nanoparticles from Uranium In Situ Recovery Bleed Water and Its Effect on Cell Viability

Production bleed water (PBW) was treated with cupric oxide nanoparticles (CuO-NPs) and cellular toxicity was assessed in cultured human cells. The goal of this protocol was to integrate the native environmental sample into a cell culture format assessing the changes in toxicity due to CuO-NP treatment.

In situ recovery (ISR) is the predominant method of uranium extraction in the United States. During ISR, uranium is leached from an ore body and extracted ...

The Use of an Automated System (GreenFeed) to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

Ruminant animals (domesticated or wild) emit methane (CH4) through enteric fermentation in their digestive tract and from decomposition of manure during storage. These processes are the major sources of greenhouse gas (GHG) emissions from animal production systems. Techniques for measuring enteric CH4 vary from direct measurements (respiration chambers, which are highly accurate, but with limited applicability) to various indirect methods (sniffers, laser technology, which are practical, but with variable accuracy). The sulfur hexafluoride (SF6)&#160;tracer gas method is commonly used to measure enteric CH4 production by animal scientists and more recently, application of an Automated Head-Chamber System (AHCS) (GreenFeed, C-Lock, Inc., Rapid City, SD), which is the focus of this experiment, has been growing. AHCS is an automated system to monitor CH4 and carbon dioxide (CO2) mass fluxes from the breath of ruminant animals. In a typical AHCS operation, small quantities of baiting feed are dispensed to individual animals to lure them to AHCS multiple times daily. As the animal visits AHCS, a fan system pulls air past the animal&#8217;s muzzle into an intake manifold, and through an air collection pipe where continuous airflow rates are measured. A sub-sample of air is pumped out of the pipe into non-dispersive infra-red sensors for continuous measurement of CH4 and CO2 concentrations. Field comparisons of AHCS to respiration chambers or SF6 have demonstrated that AHCS produces repeatable and accurate CH4 emission results, provided that animal visits to AHCS are sufficient so emission estimates are representative of the diurnal rhythm of rumen gas production. Here, we demonstrate the use of AHCS to measure CO2 and CH4 fluxes from dairy cows given a control diet or a diet supplemented with technical-grade cashew nut shell liquid.

The Use of an Automated System GreenFeed to Monitor Enteric Methane and Carbon Dioxide Emissions from Ruminant Animals

Accuracy and precision of the techniques used to measure methane emissions from ruminant animals are critically important for the success of greenhouse gas mitigation efforts. This manuscript describes the principles and operation of an automated system to monitor methane and carbon dioxide mass fluxes from the breath of ruminant animals.

Ruminant animals (domesticated or wild) emit methane (CH4) through enteric fermentation in their digestive tract and from decomposition of manure during ...

Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers

Agricultural ammonia (NH3) emissions (90% of total EU emissions) are responsible for about 45% airborne eutrophication, 31% soil acidification and 12% fine dust formation within the EU15. But NH3 emissions also mean a considerable loss of nutrients. Many studies on NH3 emission from organic and mineral fertilizer application have been performed in recent decades. Nevertheless, research related to NH3 emissions after application fertilizers is still limited in particular with respect to relationships to emissions, fertilizer type, site conditions and crop growth. Due to the variable response of crops to treatments, effects can only be validated in experimental designs including field replication for statistical testing. The dominating ammonia loss methods yielding quantitative emissions require large field areas, expensive equipment or current supply, which restricts their application in replicated field trials. This protocol describes a new methodology for the measurement of NH3 emissions on many plots linking a simple semi-quantitative measuring method used in all plots, with a quantitative method by simultaneous measurements using both methods on selected plots. As a semi-quantitative measurement method passive samplers are used. The second method is a dynamic chamber method (Dynamic Tube Method) to obtain a transfer quotient, which converts the semi-quantitative losses of the passive sampler to quantitative losses (kg nitrogen ha-1). The principle underlying this approach is that passive samplers placed in a homogeneous experimental field have the same NH3 absorption behavior under identical environmental conditions. Therefore, a transfer co-efficient obtained from single passive samplers can be used to scale the values of all passive samplers used in the same field trial. The method proved valid under a wide range of experimental conditions and is recommended to be used under conditions with bare soil or small canopies (&#60;0.3 m). Results obtained from experiments with taller plants should be treated more carefully.

Calibrated Passive Sampling - Multi-plot Field Measurements of NH3 Emissions with a Combination of Dynamic Tube Method and Passive Samplers

Ammonia emissions are a major threat to the environment by eutrophication, soil acidification and fine particle formation and stem mainly from agricultural sources. This method allows ammonia loss measurements in replicated field trials enabling statistical analysis of emissions and of relationships between crop development and emissions.

Agricultural ammonia (NH3) emissions (90% of total EU emissions) are responsible for about 45% airborne eutrophication, 31% soil acidification and 12% ...

Enhancement of the Initial Growth Rate of Agricultural Plants by Using Static Magnetic Fields

Electronic devices and high-voltage wires induce magnetic fields. A magnetic field of 1,300-2,500 Gauss (0.2 Tesla) was applied to Petri dishes containing seeds of Garden Balsam (Impatiens balsamina), Mizuna (Brassica rapa var. japonica), Komatsuna (Brassica rapa var. perviridis), and Mescluns (Lepidium sativum). We applied magnets under the culture dish. During the 4 days of application, we observed that the stem and root length increased. The group subjected to magnetic field treatment (n = 10) showed a 1.4 times faster rate of growth compared with the control group (n = 11) in a total of 8 days (p &#60;0.0005). This rate is 20% higher than that reported in previous studies. The tubulin complex lines did not have connecting points, but connecting points occur upon the application of magnets. This shows complete difference from the control, which means abnormal arrangements. However, the exact cause remains unclear. These results of growth enhancement of applying magnets suggest that it is possible to enhance the growth rate, increase productivity, or control the speed of germination of plants by applying static magnetic fields. Also, magnetic fields can cause physiological changes in plant cells and can induce growth. Therefore, stimulation with a magnetic field can have possible effects that are similar to those of chemical fertilizers, which means that the use of fertilizers can be avoided.

The goal of this protocol is to demonstrate the acceleration of the initial growth rate of plants by applying static magnetic fields with no external energy.

Electronic devices and high-voltage wires induce magnetic fields. A magnetic field of 1,300-2,500 Gauss (0.2 Tesla) was applied to Petri dishes containing ...

Characterization and Application of Passive Samplers for Monitoring of Pesticides in Water

Five different water passive samplers were calibrated under laboratory conditions for measurement of 124 legacy and current used pesticides. This study provides a protocol for the passive sampler preparation, calibration, extraction method and instrumental analysis. Sampling rates (RS) and passive sampler-water partition coefficients (KPW) were calculated for silicone rubber, polar organic chemical integrative sampler POCIS-A, POCIS-B, SDB-RPS and C18 disk. The uptake of the selected compounds depended on their physicochemical properties, i.e., silicone rubber showed a better uptake for more hydrophobic compounds (log octanol-water partition coefficient (KOW) &#62; 5.3), whereas POCIS-A, POCIS-B and SDB-RPS disk were more suitable for hydrophilic compounds (log KOW &#60; 0.70).

A protocol about the characterization and application of five different passive sampling devices is presented.

Five different water passive samplers were calibrated under laboratory conditions for measurement of 124 legacy and current used pesticides. This study ...

Lab-Scale Model to Evaluate Odor and Gas Concentrations Emitted by Deep Bedded Pack Manure

A lab-scaled simulated bedded pack model was developed to study air quality and nutrient composition of deep-bedded packs used in cattle mono-slope facilities. This protocol has been used to effectively evaluate many different bedding materials, environmental variables (temperature, humidity), and potential mitigation treatments that can improve air quality in commercial deep-bedded mono-slope facilities. The model is dynamic and allows researchers to easily collect many chemical and physical measurements from the bedded pack. Weekly measurements, collected over the course of six to seven weeks, allows sufficient time to see changes in air quality measurements over time as the bedded pack matures. The data collected from the simulated bedded packs is within the range of concentrations previously measured in commercial deep-bedded mono-slope facilities. Past studies have demonstrated that 8 - 10 experimental units per treatment are sufficient to detect statistical differences among the simulated bedded packs. The bedded packs are easy to maintain, requiring less than 10 minutes of labor per bedded packs per week to add urine, feces, and bedding. Sample collection using the gas sampling system requires 20 - 30 minutes per bedded pack, depending on the measurements that are being collected. The use of lab-scaled bedded packs allows the researcher to control variables such as temperature, humidity, and bedding source that are difficult or impossible to control in a research or commercial facility. While not a perfect simulation of &#34;real-world&#34; conditions, the simulated bedded packs serve as a good model for researchers to use to examine treatment differences among bedded packs. Several lab-scale studies can be conducted to eliminate possible treatments before trying them in a research or commercial-sized facility.

A protocol has been developed to measure gases, odors, and nutrient composition in lab-scaled bedded manure packs, which can be used to study ways to improve air quality in commercial cattle facilities using deep-bedded manure packs.

A lab-scaled simulated bedded pack model was developed to study air quality and nutrient composition of deep-bedded packs used in cattle mono-slope ...

A Practical and Low-Cost Setup to Measure Methane in Aqueous Samples

Measuring Dissolved Methane in Aquatic Ecosystems Using An Optical Spectroscopy Gas Analyzer

Measuring greenhouse gas (GHG) fluxes and pools in ecosystems are becoming increasingly common in ecological studies due to their relevance to climate change. With it, the need for analytical platforms adaptable to measuring different pools and fluxes within research groups also grows. This study aims to develop a procedure to use portable optical spectroscopy-based gas analyzers, originally designed and marketed for gas flux measurements, to measure GHG concentrations in aqueous samples. The protocol involves the traditional headspace equilibration technique followed by the injection of a headspace gas subsample into a chamber connected through a closed loop to the inlet and outlet ports of the gas analyzer. The chamber is fabricated from a generic mason jar and simple laboratory supplies, and it is an ideal solution for samples that may require pre-injection dilution. Methane concentrations measured with the chamber are tightly correlated (r2 &#62; 0.98) with concentrations determined separately through gas chromatography-flame ionization detection (GC-FID) on subsamples from the same vials. The procedure is particularly relevant for field studies in remote areas where chromatography equipment and supplies are not readily available, offering a practical, cheaper, and more efficient solution for measuring methane and other dissolved greenhouse gas concentrations in aquatic systems.

This study demonstrates an approach to measure methane gas concentrations in aqueous samples using portable optical analyzers coupled to an injection chamber in a closed loop. The results are similar to conventional gas chromatography, presenting a practical and low-cost alternative particularly suitable for remote field studies.

Measuring greenhouse gas (GHG) fluxes and pools in ecosystems are becoming increasingly common in ecological studies due to their relevance to climate ...

Assessment of Methane and Nitrous Oxide Fluxes from Paddy Field by Means of Static Closed Chambers Maintaining Plants Within Headspace

Summary

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Expression of Recombinant Cellulase Cel5A from Trichoderma reesei in Tobacco Plants

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Measurement of Greenhouse Gas Flux from Agricultural Soils Using Static Chambers

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