The authors would like to acknowledge the Humic Products Trade Association (HPTA) for their support in funding the work that resulted in the standardization of the methods described in this paper and also Lawrence Mayhew and Drs. Dan Olk and Paul Bloom for technical support during the standardization work.

1. Solid sample preparation
<ol>
	<li>Crush approximately 5 g of the sample to be analyzed, using a mortar and pestle, so that 100% of the crushed sample passes through a U. S. Standard Sieve mesh size No. 200 (i.e., 74 &#181;m) making sure that the powder is well mixed.</li>
	<li>Determine the moisture content of the powder gravimetrically.
	<ol>
		<li>Weigh an aluminum weigh boat and record the mass (Wwb).</li>
		<li>Transfer approximately 2 g of sample powder into the weigh boat and record the mass (Wws+wb).</li>
		<li>Place the weigh boat in a drying oven for 24 h at 102 &#176;C (do not exceed 102 &#176;C). After 24 h, remove the weigh boat from drying oven and place in a desiccator to cool for at least 1 h.</li>
		<li>Weigh and record the mass of the weigh boat and dried sample powder (Wds+wb).</li>
		<li>Determine the moisture content using formula 1.1. 
		Formula 1.1 Moisture content of solid sample powder 
		&#8203;% moisture = (((Wws+wb- Wwb) &#8211; (Wds+wb - Wwb))/ (Wws+wb - Wwb)) * 100</li>
	</ol>
	</li>
</ol>
2. Extraction procedure
<ol>
	<li>Solid samples
	<ol>
		<li>Weigh approximately 2.5 g of the sieved&#160;sample powder (Wsamp) into a plastic or aluminum weigh boat and record the weight to four decimal places.</li>
		<li>Load the sample into a 1 L graduated cylinder and fill the cylinder to 1 L with 0.1 M NaOH (4 g NaOH x L-1).</li>
		<li>Add a magnetic stir bar (e.g., 5 - 7 cm in length) and stir rapidly (i.e., 300 &#8211; 400 rpm) on a stir plate until the sample is thoroughly mixed.</li>
		<li>Transfer the entire contents of the graduated cylinder into a 1 L Erlenmeyer flask, evacuate the headspace of the flask with N2 gas and cover the flask opening with an airtight cover.</li>
		<li>Place the Erlenmeyer flask on a stir plate and mix at 300 - 400 rpm for 16 - 18 h.</li>
	</ol>
	</li>
	<li>Liquid samples
	<ol>
		<li>For liquid materials, thoroughly mix the sample by shaking to ensure that the test liquid is mixed homogeneously. Make sure any residue that may have fallen to the bottom of the container is thoroughly mixed.</li>
		<li>Add approximately 5 g of the test liquid, weighed to 4 decimal places (WTL), to a 1 L graduated cylinder.</li>
		<li>Fill the graduated cylinder with 0.1 M NaOH to a final volume of 1 L.</li>
		<li>Add a magnetic stir bar (e.g., 5 &#8211; 7 cm in length) and stir rapidly (e.g., 300 - 400 rpm) on a stir plate until the test sample is completely mixed.</li>
		<li>Transfer the mixture into a 1 L Erlenmeyer flask, evacuate the headspace with N2 gas and cover the flask opening with an airtight cover.</li>
		<li>Place the Erlenmeyer flask on a stir plate and mix at 300 - 400 rpm for 1 h. 
		NOTE: After this point, the handling of solid and liquid samples is the same.</li>
	</ol>
	</li>
</ol>
3. Removal of nonsoluble materials from alkaline extracts
<ol>
	<li>At the completion of stirring, remove the flask from the stir plate, transfer the mixture to suitable centrifuge tubes and centrifuge the entire volume at 4,921 x g for 30 min.</li>
	<li>Collect the alkaline supernatant containing the HA and FA in a clean 1 L Erlenmeyer flask containing a magnetic stir bar. Discard the insoluble material. Filtration through glass wool or qualitative 2.5 &#181;m pore size filter paper is recommended if residual particles are not precipitated after centrifugation.</li>
</ol>
4. Precipitation and separation of HA from FF
<ol>
	<li>While stirring the alkaline extract at 300 - 400 rpm on a stir plate, insert a pH probe into the middle portion of the solution (vertically) and add conc. HCl dropwise to the alkaline extract until a stable pH of pH 1.0 &#177; 0.1 is reached.</li>
	<li>Once a pH of pH 1 is reached and remains stable, remove the pH probe from the flask, retrieve the stir bar, cover the flask with an airtight cover and let the flask sit until the precipitated HA has settled to the bottom of the flask. 
	NOTE: The time it takes a HA to precipitate and drop out of solution will vary depending on the source and amount of HA in the sample. It typically takes 1 -6 h for the HA to fully precipitate and drop out of solution.</li>
	<li>Centrifuge the extract and precipitated HA at 4921 x g for 1 h. After centrifugation, pour off the supernatant FF into a clean 1 L Erlenmeyer and cover with an airtight cover. 
	NOTE: A longer centrifuge time may be necessary in order to pack the HA down firmly enough to allow decanting the FF without inclusion of any of the precipitated HA.</li>
	<li>Place the centrifuge tubes in a drying oven held at 100 &#176;C for 24 h.</li>
	<li>After drying, remove the tubes from the drying oven and place in a desiccator to cool to room temperature. After cooling, quantitatively transfer the residue from the tube by scraping it from the sides and bottom of the tube with a spatula, transfer to a tared weigh boat, and record the mass (WEHA). This residue is the &#8220;Extracted HA&#8221;. 
	NOTE: If centrifuge tubes greater than 50 mL have been used in the separation of HA and FF, it is convenient to transfer the precipitated HA to temperature resistant 50 mL centrifuge tubes for the drying process. Also, if a freeze dryer is available the precipitated HA can be freeze dried. Collection of the HA in a freeze-dried state is easier because the HA does not stick to the side of the plastic tubes and does not have to be scrapped.</li>
</ol>
5. Determination of ash content
NOTE: The procedure for determination of ash content of dried HA and FA samples is the same. The procedure using notation for HA is shown.
<ol>
	<li>Transfer approximately 30 mg of the dried HA (WHA) to a clean, pre-weighed ceramic dish (WCD) that had been previously dried in a drying oven at 100 &#176;C and then cooled in a desiccator to room temperature. After recording the combined mass of the weighted HA and dish (WHA+CD), combust the HA in a muffle oven for 2 h at 600&#176;C. 
	NOTE: For each HA sample, three replicates should be processed and the average ash content used in the calculation of pure HA.</li>
	<li>After 2 h, remove the dish and contents from the muffle oven and place in a desiccator to cool. Once cool, weigh the dish with ash (WASH+CD) and calculate the ash ratio (Ashrat) using formula 1.2: 
	Formula 1.2 Ashrat = (WASH+CD - WCD) / (WHA+CD - WCD)</li>
</ol>
6. Determination of the percentage of purified extracted HA
<ol>
	<li>Determine the final mass of the pure HA (WPHA) by correcting for ash content using Formula 1.3: 
	Formula 1.3 WPHA = WEHA * (1- Ashrat)</li>
</ol>
7. Determination of the concentration (%) of pure HA in the original source sample
<ol>
	<li>Determine the concentration of pure HA using Formula 1.4 and 1.5: 
	Formula 1.4: % pure HA in solid sample = (WPHA/Wsamp) * 100 
	Formula 1.5: % pure HA in liquid sample = (WPHA/WTL) * 100</li>
</ol>
8. Column preparation for HFA purification
<ol>
	<li>Prepare a low-pressure chromatography column packed with polymethylmethacrylate DAX-8 resin. If the resin has not been used previously, soak the resin in methanol for 2 h and then rinse thoroughly with deionized H2O until all the methanol is removed.
	<ol>
		<li>Remove small resin particles that float on the water at this time. If the resin has been used previously, regenerate it as described in section 10.</li>
	</ol>
	</li>
	<li>Once thoroughly rinsed, pour the resin into a 5 x 25 cm glass chromatography column fitted with an end piece with a 10 &#181;m frit for resin bed support. Leave 2.5 to 5 cm at top of column for resin-free solution to enable mixing of the FF prior to entering the resin bed. Fit the top piece to the column and pump deionized H2O through the top of the column to pack the DAX-8 resin bed by using a peristaltic pump.</li>
</ol>
9. Isolation of HFA
<ol>
	<li>Once the resin bed is packed, load the FF onto the column using a peristaltic pump, under low pressure, via the top of the column. Use a flow rate of 35 &#8211; 40 mL/min. It is critical that the top of the resin in the column remains covered with solution throughout the entire loading and rinsing procedure to prevent drying of the resin and channeling of the extract though the resin bed.</li>
	<li>Once the fulvic fraction has been completely loaded onto the resin, wash the resin with deionized water, to remove the non-adsorbed &#8220;hydrophilic fulvic fraction&#8221; (HyFF) by pumping it through the top of the column using the peristaltic pump under low pressure. Use a flow rate of 35 &#8211; 40 mL/min. Discard the HyFF-containing effluent unless it will be used for analysis.</li>
	<li>Wash the column with deionized H2O until the absorbance at 350 nm of the column effluent is equal (e.g., within 0.015 absorbance units) to that of the deionized H2O used to wash the column. Use deionized water to zero (i.e., blank) the spectrophotometer.</li>
	<li>Desorb the HFA by back elution by pumping 0.1 M NaOH via the bottom of the column using the peristaltic pump. Use a flow rate of 35 &#8211; 40 mL/min. Capture the pump effluent (the Na-fulvate in a clean sufficiently sized container (e.g., 2 L Erlenmeyer). 
	NOTE: Most of the HFA adsorbs to the very top of the DAX-8 resin bed. Desorption by introducing the 0.1 M NaOH from the bottom of the column minimizes the amount of 0.1 M NaOH needed to fully desorb the FA.</li>
	<li>All the HFA has been desorbed when the absorbance of the column effluent is equal to the absorbance of 0.1 M NaOH influent at 350 nm. Use 0.1 M NaOH as the spectrophotometric blank. Add the effluent taken to check absorbance of the desorbed FA solution to ensure all FA is captured.</li>
</ol>
10.&#160;HFA de-ashing by protonation
<ol>
	<li>Pass the Na-fulvate solution, repeatedly, by gravity feed, through strong cation H+- exchange resin (Table of Materials) contained in a 5 &#215; 50 cm column, with glass frit to retain the resin, until the electrical conductivity of the effluent is &#60;120 &#181;S/cm, as measured with an electrical conductivity meter. Prior to each pass, the H+-exchange resin requires refurbishment as described in Section 11.
	<ol>
		<li>To ensure that all the FA is removed from the resin after the final pass, wash the resin with deionized water until the absorbance of effluent at 350 nm is the same (e.g., within 0.015 absorbance units) as the deionized water used to wash the column. Use deionized H2O as the spectrophotometric blank. Add the wash and any effluent portions taken to check absorbance to the purified FA solution. To help with removal of all FA, the resin can be agitated (e.g., using a long glass or plastic rod) several times.</li>
	</ol>
	</li>
	<li>Concentrate the FA to a volume of approximately 15 &#177; 2 mL by using a rotary evaporator at 55 &#176;C.</li>
	<li>Completely transfer the 15 mL FA concentrate to a 50 mL plastic centrifuge tube and dry at 60&#177;3 &#176;C to constant dryness in a drying oven. Freeze-drying is an alternative to oven drying. After drying transfer the tube to a desiccator to cool.
	<ol>
		<li>Remove FA from the tube by scraping the tube sides and bottom with a spatula and weigh the collected FA on pre-tared weigh paper. This material is the &#8220;Extracted FA&#8221; (WEFA).</li>
		<li>Determine the ash ratio (ASHrat) of extracted FA as described under Step 6 for HA and calculate the ash ratio using Formula 1.2. Determine the weight of the extracted FA without ash (WPFA) using Formula 1.3, substituting the WEFA for weight of WEHA. Finally determine the % pure FA in the sample using Formula 1.4 substituting WPFA for WPHA.</li>
	</ol>
	</li>
</ol>
11. DAX-8 resin regeneration
<ol>
	<li>Regenerate the DAX-8 resin by pumping 0.1 M HCl (8.33 mL concentrated HCl/1000 mL final volume deionized H2O) at a flow rate of 35 &#8211; 40 mL/min through the bottom of the column until the pH of the effluent is equal to the pH of the influent. Use the peristaltic pump to pump all reagents through the DAX-8 column during regeneration.</li>
	<li>Rinse the column with DI water by pumping it into the top of the column until the pH of the effluent equals the pH of the influent (i.e., DI water).</li>
</ol>
12. H+-cation exchange resin regeneration
<ol>
	<li>Regenerate the H+ cation exchange resin in a batch process by pouring the resin into a large beaker (e.g., 4 L plastic beaker), rinse several times by covering the resin with DI H2O, mixing and then pouring off the water.</li>
	<li>Cover the resin with 1 M HCl (83.3 mL concentrated HCl/1000 mL final volume DI water). Let stand for a minimum of 2 h with occasional stirring (e.g., once every 30 min).</li>
	<li>Remove the excess acid from the resin by pouring off the acid and covering the resin with DI water. Stir vigorously with a stirring rod for 15 s, then let the resin drop to the bottom of the flask and then pour off the water. Repeat the process until the electrical conductivity of the rinse water is &#8804; 0.7 &#181;S/cm.</li>
	<li>Load the regenerated resin back into the column. Cover with deionized H2O to make sure the resin remains wet between uses.</li>
</ol>

<ol>
	<li>DiDonato, N., Chen, H., Waggoner, D., Hatcher, P. G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Potential+origin+and+formation+for+molecular+components+of+humic+acids+in+soils.">Potential origin and formation for molecular components of humic acids in soils.</a> Geochimica et Cosmochimica Acta. 178, 210-222 (2016).</li><li>Waggoner, D. C., Chen, H., Willoughby, A. S., Hatcher, P. G. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Formation+of+black+carbon-like+and+alicyclic+aliphatic+compounds+by+hydroxyl+radical+initiated+degradation+of+lignin.">Formation of black carbon-like and alicyclic aliphatic compounds by hydroxyl radical initiated degradation of lignin.</a> Organic Geochemistry. 82, 69-76 (2015).</li><li>Baldock, J. A., Skjemstad, J. O. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Role+of+the+soil+matrix+and+minerals+in+protecting+natural+organic+materials+against+biological+attack.">Role of the soil matrix and minerals in protecting natural organic materials against biological attack.</a> Organic Geochemistry. 31 (7-8), 697-710 (2015).</li><li>Kallenbach, C. M., Frey, S. D., Grandy, A. S. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Direct+evidence+for+microbial-derived+soil+organic+matter+formation+and+its+ecophysiological+controls.">Direct evidence for microbial-derived soil organic matter formation and its ecophysiological controls.</a> Nature Communications. 7, 13630 (2016).</li><li>Schaeffer, A., Nannipieri, P., Kastner, M., Schmidt, B., Botterweck, J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=From+humic+substances+to+soil+organic+matter-microbial+contributions.+In+honour+of+Konrad+Haider+and+James+P.+Martin+for+their+outstanding+research+contributionns+to+soil+science.">From humic substances to soil organic matter-microbial contributions. In honour of Konrad Haider and James P. Martin for their outstanding research contributionns to soil science.</a> Journal of Soils Sediments. 15 (9), 1865-1881 (2015).</li><li>Stevenson, F. J. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=.">.</a> Humus Chemistry: Genesis, Composition, Reactions. 2e. , (1994).</li><li>Weber, J., Chen, Y., Jamroz, E., Miano, T. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Preface:+humic+substances+in+the+environment.">Preface: humic substances in the environment.</a> Journal of Soils and Sediments. 18, 2665-2667 (2018).</li><li>Schnitzer, M., Page, A. L., Miller, R. H., Keeny, D. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Organic+matter+characterization.">Organic matter characterization.</a> Methods of soil analysis, part 2: Chemical and microbiological properties. , 581-594 (1982).</li><li>Mehlich, A. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Photometric+determination+of+humic+matter+in+soils:+A+proposed+method.">Photometric determination of humic matter in soils: A proposed method.</a> Communications in Soil Science and Plant Analysis. 15 (12), 1417-1422 (1984).</li><li>Lamar, R. T., Talbot, K. H. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Critical+comparison+of+humid+acid+test+methods.">Critical comparison of humid acid test methods.</a> Communications in Soil Science and Plant Analysis. 50 (15-16), 2309-2322 (2009).</li><li>Swift, R. S., Sparks, D. L. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Organic+matter+characterization.">Organic matter characterization.</a> Methods of soil analysis, part 3: Chemical methods. , 1011-1069 (1996).</li><li>Lamar, R. T., Olk, D. C., Mayhew, L., Bloom, P. R. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=A+new+standardized+method+for+quantitation+of+humic+and+fulvic+acids+in+humic+ores+and+commercial+products.">A new standardized method for quantitation of humic and fulvic acids in humic ores and commercial products.</a> Journal of the AOAC International. 97 (3), 722-731 (2014).</li><li>International Organization of Standards. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Fertilizers+and+soil+conditioners-Determination+of+humic+and+hydrophobic+fulvic+acids+concentrations+in+fertilizer+materials.">Fertilizers and soil conditioners-Determination of humic and hydrophobic fulvic acids concentrations in fertilizer materials.</a> International Organization of Standards. , (1982).</li><li>Liam, L. E., Serben, T., Cano, M. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Gravimetric+quantification+of+hydrophobic+filmic+acids+in+lignite+material+using+acetone.">Gravimetric quantification of hydrophobic filmic acids in lignite material using acetone.</a> Journal of the AOAC International. 102 (6), 1901-1907 (2019).</li><li>House, W. A., Zhmud, B. V., Orr, D. R., Lloyd, G. K., Irons, G. P. <a target="_blank" href="http://www.ncbi.nlm.nih.gov/entrez/query.fcgi?db=PubMed&cmd=Search&doptcmdl=Citation&defaultField=Title+Word&term=Transportation+of+pesticides+by+colloids.+Final+Report.">Transportation of pesticides by colloids. Final Report.</a> Institute of Freshwater Ecology. National Environment Research Council. , (1998).</li></ol>

The authors have no conflicts of interest to declare.

The initial steps of extraction and isolation of the HA in this method are relatively straightforward. Because the isolation of the HFA involves column chromatography, obtaining repeatable results comes with strict adherence to the details of each step and practice. In particular, correct preparation of the resins is of primary importance. It is extremely important that the polymethylmethacrylate DAX-8 resin is prepared and packed properly. Correct packing of the resin affects both the yield and quality of the HFA. If channeling exists, then neither pretreatment (i.e. acidification) or adsorption of HFA will be complete, and the separation will lead to inaccurate results. If channels or spaces in the resin are observed prior to sample loading the column should be removed and shaken to redistribute the resin beads, by allowing them to settle without channels, and then re-packed by pumping clean DI H2O through the resin. In addition, as mentioned in the protocol, maintaining a volume of liquid above the resin when loading the FF onto the resin, will allow the FF to mix prior to entering the resin and result in more effective adsorption. For the strong cation H+-exchange resin (Table of Materials), complete regeneration cannot be rushed. The Na+/H+ exchange takes time and therefore this is best done in a bulk treatment so that the resin can be mixed while being re-acidified. Mixing the resin while rinsing with DI H2O helps remove the excess HCl. When rising the acidified resin to remove excess acid, mixing the resin help removing the HCl. It is extremely important to remove the acid to the point where an electrical conductivity of &#8804; 0.7 &#181;S/cm is reached. If not, the HCl will be carried over with the HFA.
Finally, when desorbing the HFA from the DAX-8 resin, once the absorbance of the influent equals the absorbance of the effluent, it is a good practice to let the column sit for a couple hours to see if any additional HFA will be released. If so, it will be seen as a yellowing of the liquid above the resin. If this occurs, the additional HFA can be removed by continued desorption until influent/effluent absorbances are equal again.
One of the disadvantages of the HFA isolation is that the entire process is time consuming. The complete desorption of HFA from the DAX-8 resin and complete removal from the H+-exchange resin both result in a significant volume of HFA that has to be reduced by rotary evaporation. This is definitely a bottleneck in the analysis. In an effort to reduce this time, desorbing the HFA from the DAX-8 resin using acetone rather than 0.1 M NaOH has been suggested14. The authors claimed that by using 50% acetone as desorbent in place of NaOH, a similar HFA result was obtained and the DAX-8 was adequately regenerated and thus the H+-exchange step could be eliminated. This modification resulted in a greatly reduced analysis time as a result of decreased volume produced and quicker rotary evaporation&#160;of acetone compared to water. This modification deservers further study.
This method is limited to the analysis of organic matter that has undergone the process of humification, and for the case of peat and soft coals, the further processes of peatification and both peatification and coalification, respectively. Humification is the process whereby dead, primarily plant material, is decomposed by a sequence of microbes that consume and modify increasingly recalcitrant substrates. Abiotic processes also participate in decomposition and re-synthesis reactions. Humification ultimately results in the production of relatively recalcitrant materials comprising heterogeneous mixtures of thousands of molecules that form a range of molecular weight and carbon, oxygen and hydrogen contents that form HS. HS are further modified by peatification and coalification. Therefore, this method is not appropriate for plants materials that have been modified by chemical processes. For example, lignosulfonate is widely used as an HFA adulterant. Lignosulfonate is a by-product of the sulfite pulping process. Therefore, this material has not been produced by the process of humification. In addition, there are many substances that bind to the DAX-8 resin. For example, DAX-8 resin has been used to adsorb pesticides from solution15. Obviously, pesticides are not HS. Thus, binding of a material to DAX-8 resin does not justify a claim that it is an HFA. The prerequisites are both production by humification and binding to DAX-8 resin.
As more is learned about the contribution of the various components of HS in different applications, it may become advantageous to further fractionate HS and thus modify the method accordingly. As it exists, the method does not quantify the HYFA. However, this fraction might also have activity e.g. in plant biostimulation, where the whole FF is generally applied in agricultural treatments rather than purified HFA.

Humic substances (HS) are dynamic residues that result from the microbial decomposition and transformation of dead plant tissues1,2,3 augmented with microbial by-products and biomass3,4,5 through a process that is termed humification6. HS are present in soils, natural waters, lake sediments, peats, soft coals and humic shales and represent an estimated 25% of total organic carbon on the earth7. These substances are complex mixtures of thousands of unique molecules that are fractionated into three main fractions based on their different solubilities in strongly basic and acid aqueous solutions. These fractions are humic acids (HAs), which comprise the alkali-soluble but acid-insoluble fraction; fulvic acids (FAs), the fraction soluble in both alkali and acid; and the humin fraction, which is insoluble at all pH values6,8. The fulvic fraction (FF) is further subdivided into the hydrophobic FA (HFA) and hydrophilic (HyFA) fractions. These fractions are defined as the part of the FF that binds to a hydrophobic DAX-8 resin (HFA) and the part that does not bind to the resin (HyFA).
HS are increasingly being used in agriculture, where they are widely used as crop biostimulants, in animal husbandry, in particular as a livestock feed additive, in mining in drilling muds, and environmental remediation as electron shuttles. Research in the use of HS in human medical applications is also increasing.
Many methods for the quantitation of HA and FA exist. However, most of these methods are neither accurate nor precise. For example, the two most widely used methods for the determination of HA in the USA are the colorimetric method9 and the California Department of Food and Agriculture (CDFA) method, both of which were shown to overestimate the amount of HA in a range of ore and extract sources from the western US and Canada10.The colorimetric or spectrophotometric method is inaccurate because it relies on the absorbance of alkaline extracts that include, in addition to HA, FA and other chromophores that all absorb at the wavelength used and the standard is not representative of the materials being tested10.The CDFA method is not accurate because it does not provide HA concentrations on an ash-free basis. Because different ores have different amounts of ash, some of which is carried with the extraction and the extraction process itself adds ash, this method does not provide an accurate value for HA concentrations10. In response to the need for an accurate and precise method, a standardized gravimetric procedure based on the one detailed by11 was published in 2014 to address quantitation of both HA and FA on an ash free basis12. This method was then adapted, with minor modifications, by the International Organization for Standardization (ISO) in 2018 under Fertilizers and soil conditioners as &#8220;Determination of humic and hydrophobic fulvic acids concentrations in fertilizer materials&#8221;13.
This paper outlines the protocol for extraction and quantitation of humic and hydrophobic fulvic acids and gives details on the accuracy and precision of the data produced from the method.

<table border="0" cellpadding="0" cellspacing="0" style="width:665px;" width="665">
	<colgroup>
		<col />
		<col />
		<col />
		<col />
	</colgroup>
	<tbody>
		<tr height="45">
			<td height="45" style="height:45px;width:216px;">Amberlite IR 120 H+-exchange resin</td>
			<td style="width:121px;">Sigma-Aldrich</td>
			<td align="right" style="width:161px;">10322</td>
			<td style="width:167px;">H+ form</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Analytical Balance</td>
			<td style="width:121px;">Ohaus</td>
			<td style="width:161px;">PA214</td>
			<td style="width:167px;">w/ glass draft shield</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Centrifuge</td>
			<td style="width:121px;">Beckman Coulter</td>
			<td style="width:161px;">Allegra X-14</td>
			<td style="width:167px;">minimum 4300 rpm</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Centrifuge tubes</td>
			<td style="width:121px;">Beckman Coulter</td>
			<td style="width:161px;"></td>
			<td style="width:167px;">To fit rotor selected</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Ceramic Combustion Crucibles</td>
			<td style="width:121px;">Sigma</td>
			<td style="width:161px;">Z247103</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">Chromatography column for DAX-8</td>
			<td style="width:121px;">Diba</td>
			<td style="width:161px;">Omnifit 006EZ-50-25-FF</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">Chromatography column for IR 120</td>
			<td style="width:121px;">Chemglass</td>
			<td style="width:161px;">CG-1187-21 2 in. by 24 in.</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Dessicator</td>
			<td style="width:121px;">Capitol Scientic</td>
			<td style="width:161px;">Kimax 21200-250</td>
			<td style="width:167px;">Vacuum type</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Drying Oven</td>
			<td style="width:121px;">Fisher Scientific</td>
			<td style="width:161px;">Isotemp</td>
			<td style="width:167px;">Precision&#177;3&#730;C</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Electrical conductivity meter</td>
			<td style="width:121px;">HM Digital</td>
			<td style="width:161px;">EC-3</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Erlenmeyer Flasks</td>
			<td style="width:121px;">Amazon</td>
			<td style="width:161px;"></td>
			<td style="width:167px;">1L, 2L</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">HCl concentrated</td>
			<td style="width:121px;">Sigma-Aldrich</td>
			<td align="right" style="width:161px;">320331</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">Magnetic Stir Plate</td>
			<td style="width:121px;">Barnstead-Thermolyne</td>
			<td style="width:161px;">Dataplate 721</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">Magnetic Stir bars</td>
			<td style="width:121px;"></td>
			<td style="width:161px;"></td>
			<td style="width:167px;">These can be obtained at many outlets</td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">Muffle Furnace</td>
			<td style="width:121px;">Fisher scientific</td>
			<td style="width:161px;">Thermolyne Type 47900</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">NaOH</td>
			<td style="width:121px;">Sigma-Aldrich</td>
			<td align="right" style="width:161px;">795429</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Nitrogen gas</td>
			<td style="width:121px;">Praxair</td>
			<td style="width:161px;">UNI1066</td>
			<td style="width:167px;">99.99% purity</td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Peristaltic pump</td>
			<td style="width:121px;">Cole Parmer</td>
			<td style="width:161px;">Masterflex 7518-00</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">Perstaltic tubing</td>
			<td style="width:121px;">Cole Parmer</td>
			<td style="width:161px;">Masterflex Pharmed 06508-17</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="42">
			<td height="42" style="height:42px;width:216px;">pH meter</td>
			<td style="width:121px;">Oakton Instruments</td>
			<td style="width:161px;">WD-35618--03</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="21">
			<td height="21" style="height:21px;width:216px;">Rotary Evaporator</td>
			<td style="width:121px;">Buchi</td>
			<td style="width:161px;">R-210/R-215</td>
			<td style="width:167px;"></td>
		</tr>
		<tr height="105">
			<td height="105" style="height:105px;width:216px;">Spectrophotometer</td>
			<td style="width:121px;">Healthcare SCiences</td>
			<td style="width:161px;">Ultrospec II</td>
			<td style="width:167px;">Dual beam 200 to 900 nm with wavelength accuracy of &#177;1 nm and reproducibility of &#177;0.5 nm.</td>
		</tr>
	</tbody>
</table>

quantification of humic and fulvic acids in humate ores, doc, humified materials and humic substance-containing commercial products

The purpose of this method is to provide an accurate and precise concentration of humic (HA) and/or fulvic acids (FA) in soft coals, humic ores and shales, peats, composts and humic substance-containing commercial products. The method is based on the alkaline extraction of test materials, using 0.1 N NaOH as an extractant, and separation of the alkaline soluble humic substances (HS) from nonsoluble products by centrifugation. The pH of the centrifuged alkaline extract is then adjusted to pH 1 with conc. HCl, which results in precipitation of the HA. The precipitated HA are separated from the fulvic fraction (FF) (the fraction of HS that remains in solution,) by centrifugation. The HA is then oven or freeze dried and the ash content of the dried HA determined. The weight of the pure (i.e., ash-free) HA is then divided by the weight of the sample and the resulting fraction multiplied by 100 to determine the % HA in the sample. To determine the FA content, the FF is loaded onto a hydrophobic DAX-8 resin, which adsorbs the FA fraction also referred to as the hydrophobic fulvic acid (HFA). The remaining non-fulvic acid fraction, also called the hydrophilic fulvic fraction (HyFF) is then removed by washing the resin with deionized H2O until all nonabsorbed material is completely removed. The FA is then desorbed with 0.1 N NaOH. The resulting Na-fulvate is then protonated by passing it over a strong H+-exchange resin. The resulting FA is oven or freeze dried, the ash content determined and the concentration in the sample calculated as described above for HA.

Performance data for the method are provided in Tables 1 &#8211; 5. The precision of method for extraction of HA and FAH from liquid commercial samples with very different concentrations of HA and FHA are given in Table 1.
The relative standard deviations (RSDs) for HA were lower than those for HFA, but the average HFA RSD over the three liquid samples was on 6.83% which indicates a high degree of precision. The Horwitz ratio (HorRat) is a normalized performance parameter that indicates the suitability of a methods of analysis regarding among laboratory precision. Here it was used for intra-laboratory precision. Value &#60; 0.5 may indicate undisclosed averaging or a high level of experience with the method. Values &#62; 2.0 indicate heterogeneity of test samples, a need for method optimization or more extensive training, operating below the limit of detection or an inapplicable method. For analysis of liquid samples, the HorRat was only &#62; 2 for one of the HFA analyses (Table 1).
Precision data for the extraction of HA and HFA from three humic ore samples is given in Table 2. Again, with the exception of the HFA extracted from Ore 2 and the HA from Ore 3, all of the HorRat&#8217;s were below 2. This demonstrates a high degree of precision of this method for extraction of HA and HFA for humic ore samples.
Manufacturers of plant biostimulants often formulate products that contain HS in addition to other ingredients like seaweed, inorganic fertilizers, coals or molasses. Table 3 gives the results of an analysis of the inclusion of these types of additives on the precision of the method. None of the additives effected the recovery of HA or HFA significantly (Table 3).
Table 4 and Table 5 report the recoveries of HA and HFA, respectively, from liquid samples that simulated commercial products with very low concentrations. Recoveries were excellent and ranged between 88% and 97% for HA (Table 4) and 92% and 104% for HFA (Table 5). Mean recoveries for HA and HFA were 93% and 97%, respectively and % RSD for both HS were less than 5%. While precision is excellent, these data indicate the need to perform laboratory replicates. The method detection limit (MDL) and method quantitation limit were 4.62 and 1.47 mg/L for HA and 4.8 and 1.53 mg/L for HFA.
<table border="1" fo:keep-together.within-page="1">
	<tbody>
		<tr>
			<td colspan="8">Humic substances, %</td>
		</tr>
		<tr>
			<td>Material</td>
			<td colspan="2">L16</td>
			<td colspan="2">L17</td>
			<td colspan="3">L2</td>
		</tr>
		<tr>
			<td></td>
			<td>HFA</td>
			<td>HA</td>
			<td>HFA</td>
			<td>HA</td>
			<td>HFA</td>
			<td>HA</td>
			<td></td>
		</tr>
		<tr>
			<td>Rep 1</td>
			<td>1.44</td>
			<td>17</td>
			<td>6.59</td>
			<td>7.76</td>
			<td>0.36</td>
			<td colspan="2">4.46</td>
		</tr>
		<tr>
			<td>Rep 2</td>
			<td>1.39</td>
			<td>16.03</td>
			<td>6.25</td>
			<td>7.79</td>
			<td>0.42</td>
			<td colspan="2">4.93</td>
		</tr>
		<tr>
			<td>Rep 3</td>
			<td>1.34</td>
			<td>16.44</td>
			<td>6.02</td>
			<td>7.55</td>
			<td>0.4</td>
			<td colspan="2">4.46</td>
		</tr>
		<tr>
			<td>Rep 4</td>
			<td>1.54</td>
			<td>16.75</td>
			<td>6.2</td>
			<td>7.69</td>
			<td>0.33</td>
			<td colspan="2">4.53</td>
		</tr>
		<tr>
			<td>Mean</td>
			<td>1.43</td>
			<td>16.56</td>
			<td>6.27</td>
			<td>7.7</td>
			<td>0.38</td>
			<td colspan="2">4.6</td>
		</tr>
		<tr>
			<td rowspan="2">SD</td>
			<td rowspan="2">0.09</td>
			<td rowspan="2">0.42</td>
			<td>0</td>
			<td rowspan="2">0.11</td>
			<td rowspan="2">0.04</td>
			<td colspan="2" rowspan="2">0.23</td>
		</tr>
		<tr>
			<td>24</td>
		</tr>
		<tr>
			<td>RSD, %</td>
			<td>6.29</td>
			<td>2.53</td>
			<td>3.8</td>
			<td>1.39</td>
			<td>10.4</td>
			<td colspan="2">4.91</td>
		</tr>
		<tr>
			<td>Hor Rat(r)</td>
			<td>1.58</td>
			<td>0.72</td>
			<td>1.25</td>
			<td>0.47</td>
			<td>2.31</td>
			<td colspan="2">1.55</td>
		</tr>
		<tr>
			<td colspan="8">aExtraction conditions were 1 g in 1 L 0.1 M NaOH.</td>
		</tr>
	</tbody>
</table>
Table 1. Precision of the method in extraction and quantitation of HA and HFA from liquid commercial samples. Extraction conditions were 1 g in 1 L 0.1 M NaOH.
<table border="1" fo:keep-together.within-page="1">
	<tbody>
		<tr>
			<td colspan="7">Humic substances, %</td>
		</tr>
		<tr>
			<td></td>
			<td colspan="2">Ore 1</td>
			<td colspan="2">Ore 2</td>
			<td colspan="2">Ore 3</td>
		</tr>
		<tr>
			<td>Material</td>
			<td>HFA</td>
			<td>HA</td>
			<td>HFA</td>
			<td>HA</td>
			<td>HFA</td>
			<td>HA</td>
		</tr>
		<tr>
			<td>Rep 1</td>
			<td>1.75</td>
			<td>67.4</td>
			<td>1.31</td>
			<td>27.01</td>
			<td>1.55</td>
			<td>8.95</td>
		</tr>
		<tr>
			<td>Rep 2</td>
			<td>1.69</td>
			<td>67.63</td>
			<td>1.25</td>
			<td>27.48</td>
			<td>1.41</td>
			<td>7.2</td>
		</tr>
		<tr>
			<td>Rep 3</td>
			<td>1.63</td>
			<td>67.1</td>
			<td>1.27</td>
			<td>27.34</td>
			<td>1.47</td>
			<td>8.35</td>
		</tr>
		<tr>
			<td>Rep 4</td>
			<td>1.77</td>
			<td>67.59</td>
			<td>1.55</td>
			<td>26.89</td>
			<td>1.51</td>
			<td>7.98</td>
		</tr>
		<tr>
			<td>Mean</td>
			<td>1.71</td>
			<td>67.53</td>
			<td>1.35</td>
			<td>27.18</td>
			<td>1.49</td>
			<td>8.12</td>
		</tr>
		<tr>
			<td>SD</td>
			<td>0.06</td>
			<td>0.94</td>
			<td>0.14</td>
			<td>0.28</td>
			<td>0.06</td>
			<td>0.73</td>
		</tr>
		<tr>
			<td>RSD, %</td>
			<td>3.7</td>
			<td>1.39</td>
			<td>10.33</td>
			<td>1.02</td>
			<td>4.02</td>
			<td>9.02</td>
		</tr>
		<tr>
			<td>HorRat(r)</td>
			<td>0.99</td>
			<td>0.66</td>
			<td>2.71</td>
			<td>0.42</td>
			<td>1.07</td>
			<td>3.09</td>
		</tr>
	</tbody>
</table>
Table 2. Precision of the method in extraction and quantitation of HA and HFA from humic ores. Extraction conditions were 1 g sample in 1 L 0.1 M NaOH. (Data taken from Lamar et al., 2014)
<table border="1" fo:keep-together.within-page="1">
	<tbody>
		<tr>
			<td>Replicate</td>
			<td>Adulterant</td>
			<td>HA, %</td>
			<td>FA, %</td>
			<td>Relative Recovery HA, %</td>
			<td>Relative Recovery HFA, %</td>
		</tr>
		<tr>
			<td>1</td>
			<td>None</td>
			<td>81.61</td>
			<td>12.86</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>2</td>
			<td>None</td>
			<td>80.16</td>
			<td>12.78</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>1</td>
			<td>Seaweed</td>
			<td>80.21</td>
			<td>12.85</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>2</td>
			<td>Seaweed</td>
			<td>80.72</td>
			<td>12.79</td>
			<td>99.5</td>
			<td>99.6</td>
		</tr>
		<tr>
			<td>1</td>
			<td>Fertilizer</td>
			<td>80.25</td>
			<td>12.98</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>2</td>
			<td>Fertilizer</td>
			<td>79.57</td>
			<td>123.77</td>
			<td>98.8</td>
			<td>101.6</td>
		</tr>
		<tr>
			<td>1</td>
			<td>Coal</td>
			<td>78.79</td>
			<td>12.92</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>2</td>
			<td>Coal</td>
			<td>81.27</td>
			<td>12.84</td>
			<td>98.9</td>
			<td>101.8</td>
		</tr>
		<tr>
			<td>1</td>
			<td>Molasses</td>
			<td>79.38</td>
			<td>12.99</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>2</td>
			<td>Molasses</td>
			<td>81.02</td>
			<td>12.72</td>
			<td>99.2</td>
			<td>100.9</td>
		</tr>
		<tr>
			<td>Mean</td>
			<td></td>
			<td>80.3</td>
			<td>12.85</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td>SD</td>
			<td></td>
			<td>0.885</td>
			<td>0.09</td>
			<td></td>
			<td></td>
		</tr>
		<tr>
			<td colspan="6">a Final concentration of FA + HA of 2.5 g/L added to 0.1 M NaOH. (data taken from Lamar et al., 2015)</td>
		</tr>
	</tbody>
</table>
Table 3. Effect of adulterants on quantitation of HA and HFA from a Gascoyne leonardite. (Data taken from Lamar et al., 2015)
<table border="1" fo:keep-together.within-page="1">
	<tbody>
		<tr>
			<td colspan="4">HA</td>
		</tr>
		<tr>
			<td>Sample ID</td>
			<td>Extracted, mg</td>
			<td>Recovered, mg</td>
			<td>Recovered, %</td>
		</tr>
		<tr>
			<td>1</td>
			<td>24.6</td>
			<td>23.7</td>
			<td>96.3</td>
		</tr>
		<tr>
			<td>2</td>
			<td>22.6</td>
			<td>19.9</td>
			<td>88.1</td>
		</tr>
		<tr>
			<td>3</td>
			<td>25.2</td>
			<td>23.6</td>
			<td>93.7</td>
		</tr>
		<tr>
			<td>4</td>
			<td>22.5</td>
			<td>21.5</td>
			<td>95.6</td>
		</tr>
		<tr>
			<td>5</td>
			<td>23.9</td>
			<td>21.8</td>
			<td>91.2</td>
		</tr>
		<tr>
			<td>6</td>
			<td>23.2</td>
			<td>20.8</td>
			<td>89.7</td>
		</tr>
		<tr>
			<td>7</td>
			<td>24</td>
			<td>23.2</td>
			<td>96.7</td>
		</tr>
		<tr>
			<td>Mean</td>
			<td>23.7</td>
			<td>22.1</td>
			<td>93</td>
		</tr>
		<tr>
			<td>SD</td>
			<td>1.01</td>
			<td>1.52</td>
			<td>3.43</td>
		</tr>
		<tr>
			<td>RSD, %</td>
			<td>4.35</td>
			<td>6.88</td>
			<td>3.67</td>
		</tr>
		<tr>
			<td colspan="4">(data taken from Lamar et al., 2014)</td>
		</tr>
	</tbody>
</table>
Table 4. Recovery of HA from spiked blanks. (Data taken from Lamar et al., 2014)
<table border="1" fo:keep-together.within-page="1">
	<tbody>
		<tr>
			<td colspan="4">FA</td>
		</tr>
		<tr>
			<td>Sample ID</td>
			<td>Extracted, mg</td>
			<td>Recovered, mg</td>
			<td>Recovered, %</td>
		</tr>
		<tr>
			<td>1</td>
			<td>19.9</td>
			<td>19</td>
			<td>95.48</td>
		</tr>
		<tr>
			<td>2</td>
			<td>23.1</td>
			<td>22.9</td>
			<td>99.13</td>
		</tr>
		<tr>
			<td>3</td>
			<td>20.7</td>
			<td>19.4</td>
			<td>93.72</td>
		</tr>
		<tr>
			<td>4</td>
			<td>20.5</td>
			<td>19.8</td>
			<td>96.39</td>
		</tr>
		<tr>
			<td>5</td>
			<td>20.8</td>
			<td>21.6</td>
			<td>103.85</td>
		</tr>
		<tr>
			<td>6</td>
			<td>21.9</td>
			<td>20.1</td>
			<td>91.78</td>
		</tr>
		<tr>
			<td>7</td>
			<td>22.7</td>
			<td>22.3</td>
			<td>98.24</td>
		</tr>
		<tr>
			<td>Mean</td>
			<td>21.37</td>
			<td>20.73</td>
			<td>96.94</td>
		</tr>
		<tr>
			<td>SD</td>
			<td>1.21</td>
			<td>1.53</td>
			<td>3.95</td>
		</tr>
		<tr>
			<td>RSD, %</td>
			<td>5.64</td>
			<td>7.36</td>
			<td>4.07</td>
		</tr>
		<tr>
			<td colspan="4">(Data taken from Lamar et al., 2014)</td>
		</tr>
	</tbody>
</table>
Table 5. Recovery of HFA from spiked blanks. (Data taken from Lamar et al., 2014)

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Quantification of Humic and Fulvic Acids in Humate Ores, DOC, Humified Materials and Humic Substance-Containing Commercial Products

This method provides a gravimetric quantification of humic substances (e.g., humic and fulvic acids) on an ash-free basis, in dry and liquid materials from soft coals (i.e., oxidized and non-oxidized lignite and sub-bituminous coal), humate ores and shales, peats, composts and commercial fertilizers and soil amendments.

The purpose of this method is to provide an accurate and precise concentration of humic (HA) and/or fulvic acids (FA) in soft coals, humic ores and ...

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Research

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Biochemistry

15.8K Views.  Bio Huma Netics, Inc.. This method provides a gravimetric quantification of humic substances (e.g., humic and fulvic acids) on an ash-free basis, in dry and liquid materials from soft coals (i.e., oxidized and non-oxidized lignite and sub-bituminous coal), humate ores and shales, peats, composts and commercial fertilizers and soil amendments.

Video: Quantification of Humic and Fulvic Acids in Humate Ores, DOC, Humified Materials and Humic Substance-Containing Commercial Products

Identification of Fatty Acids in Bacillus cereus

The Bacillus species contain branched chain and unsaturated fatty acids (FAs) with diverse positions of the methyl branch (iso or anteiso) and of the double bond. Changes in FA composition play a crucial role in the adaptation of bacteria to their environment. These modifications entail a change in the ratio of iso versus anteiso branched FAs, and in the proportion of unsaturated FAs relative to saturated FAs, with double bonds created at specific positions. Precise identification of the FA profile is necessary to understand the adaptation mechanisms of Bacillus species.
Many of the FAs from Bacillus are not commercially available. The strategy proposed herein identifies FAs by combining information on the retention time (by calculation of the equivalent chain length (ECL)) with the mass spectra of three types of FA derivatives: fatty acid methyl esters (FAMEs), 4,4-dimethyl oxazoline derivatives (DMOX), and 3-pyridylcarbinyl ester (picolinyl). This method can identify the FAs without the need to purify the unknown FAs.
Comparing chromatographic profiles of FAME prepared from Bacillus cereus with a commercial mixture of standards allows for the identification of straight-chain saturated FAs, the calculation of the ECL, and hypotheses on the identity of the other FAs. FAMEs of branched saturated FAs, iso or anteiso, display a constant negative shift in the ECL, compared to linear saturated FAs with the same number of carbons. FAMEs of unsaturated FAs can be detected by the mass of their molecular ions, and result in a positive shift in the ECL compared to the corresponding saturated FAs.
The branching position of FAs and the double bond position of unsaturated FAs can be identified by the electron ionization mass spectra of picolinyl and DMOX derivatives, respectively. This approach identifies all the unknown saturated branched FAs, unsaturated straight-chain FAs and unsaturated branched FAs from the B. cereus extract.

Identification of Fatty Acids in Bacillus cereus

We propose a protocol to identify fatty acids without the need to purify them. It combines information on the retention times with the mass spectra of three types of fatty acid derivatives: fatty acid methyl esters (FAMEs), 4,4-dimethyl oxazoline derivatives (DMOX), and 3-pyridylcarbinyl esters (picolinyl).

The Bacillus species contain branched chain and unsaturated fatty acids (FAs) with diverse positions of the methyl branch (iso or anteiso) and of the ...

Voltage-clamp Fluorometry in Xenopus Oocytes Using Fluorescent Unnatural Amino Acids

Voltage-Clamp Fluorometry (VCF) has been the technique of choice to investigate the structure and function of electrogenic membrane proteins where real-time measurements of fluorescence and currents simultaneously report on local rearrangements and global function, respectively1. While high-resolution structural techniques such as cryo-electron microscopy or X-ray crystallography provide static images of the proteins of interest, VCF provides dynamic structural data that allows us to link the structural rearrangements (fluorescence) to dynamic functional data (electrophysiology). Until recently, the thiol-reactive chemistry used for site-directed fluorescent labeling of the proteins restricted the scope of the approach because all accessible cysteines, including endogenous ones, will be labeled. It was thus required to construct proteins free of endogenous cysteines. Labeling was also restricted to sites accessible from the extracellular side. This changed with the use of Fluorescent Unnatural Amino Acids (fUAA) to specifically incorporate a small fluorescent probe in response to stop codon suppression using an orthogonal tRNA and tRNA synthetase pair2. The VCF improvement only requires a two-step injection procedure of DNA injection (tRNA/synthetase pair) followed by RNA/fUAA co-injection. Now, labelling both intracellular and buried sites is possible, and the use of VCF has expanded significantly. The VCF technique thereby becomes attractive for studying a wide range of proteins and &#8211; more importantly &#8211; allows investigating numerous cytosolic regulatory mechanisms.

Voltage-clamp Fluorometry in Xenopus Oocytes Using Fluorescent Unnatural Amino Acids

This article describes an enhancement of conventional Voltage-Clamp Fluorometry (VCF) where Fluorescent Unnatural Amino Acids (fUAA) are used instead of maleimide dyes, to probe structural rearrangements in ion channels. The procedure includes Xenopus oocyte DNA injection, RNA/fUAA coinjection, and simultaneous current and fluorescence measurements.

Voltage-Clamp Fluorometry (VCF) has been the technique of choice to investigate the structure and function of electrogenic membrane proteins where ...

LERLIC-MS/MS for In-depth Characterization and Quantification of Glutamine and Asparagine Deamidation in Shotgun Proteomics

Characterization of protein deamidation is imperative to decipher the role(s) and potentialities of this protein posttranslational modification (PTM) in human pathology and other biochemical contexts. In order to perform characterization of protein deamidation, we have recently developed a novel long-length electrostatic repulsion-hydrophilic interaction chromatography-tandem mass spectrometry (LERLIC-MS/MS) method which can separate the glutamine (Gln) and asparagine (Asn) isoform products of deamidation from model compounds to highly complex biological samples. LERLIC-MS/MS is, therefore, the first shotgun proteomics strategy for the separation and quantification of Gln deamidation isoforms. We also demonstrate, as a novelty, that the sample processing protocol outlined here stabilizes the succinimide intermediate allowing its characterization by LERLIC-MS/MS. Application of LERLIC-MS/MS as shown in this video article can help to elucidate the currently unknown molecular arrays of protein deamidation. Additionally, LERLIC-MS/MS provides further understanding of the enzymatic reactions that encompass deamidation in distinct biological backgrounds.

Here we present a step-by-step protocol of the long-length electrostatic repulsion-hydrophilic interaction chromatography-tandem mass spectrometry (LERLIC-MS/MS) method. This is a novel methodology that enables for the first time quantification and characterization of the glutamine and asparagine deamidation isoforms by shotgun proteomics.

Characterization of protein deamidation is imperative to decipher the role(s) and potentialities of this protein posttranslational modification (PTM) in ...

Assay for Phosphorylation and Microtubule Binding Along with Localization of Tau Protein in Colorectal Cancer Cells

The microtubule-associated protein tau is a neuronal protein that localizes mostly in axons. Generally tau is essential for normal neuronal functioning because it is involved in microtubule assembly and stabilization. Besides neurons, tau is expressed in human breast, prostate, gastric, colorectal, and pancreatic cancers where it shows nearly similar structure and exerts similar functions as the neuronal tau. The amount of tau and its phosphorylation can change its function as a stabilizer of microtubules, and lead to the development of paired helical filaments in different neurodegenerative disorders, such as Alzheimer&#39;s disease. Determining the phosphorylation state of tau and its microtubule-binding characteristics is important. In addition, examining the intracellular localization of tau is important in different diseases. This manuscript details standard protocols for measuring tau phosphorylation and tau binding to microtubules in colorectal cancer cells with or without curcumin and LiCl treatment. These treatments can be used to stop cancer cell proliferation and development. Intracellular localization of tau is examined by using immunohistochemistry and confocal microscopy while using low amounts of antibodies. These assays can be used repetitively for screening compounds that affect tau hyperphosphorylation or microtubule binding. Novel therapeutics used for different tauopathies or related anticancer agents can potentially be characterized using these protocols.

This manuscript describes standard protocols for measuring tau hyperphosphorylation, measuring tau binding to microtubules, and localization of intracellular tau following drug treatments. These protocols can be used repetitively for screening drugs or other compounds that target tau hyperphosphorylation or microtubule binding.

The microtubule-associated protein tau is a neuronal protein that localizes mostly in axons. Generally tau is essential for normal neuronal functioning ...

Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli

Transfer RNA (tRNA) is an essential part of the translational machinery in any organism. tRNAs bind and transfer amino acids to the translating ribosome. The relative levels of different tRNAs, and the ratio of aminoacylated tRNA to total tRNA, known as the charging level, are important factors in determining the accuracy and speed of translation. Therefore, the abundance and charging levels of tRNAs are important variables to measure when studying protein synthesis, for example under various stress conditions. Here, we describe a method for harvesting tRNA and directly measuring both the relative abundance and the absolute charging level of specific tRNA species in Escherichia coli. The tRNA is harvested in such a way that the labile bond between the tRNA and its amino acid is preserved. The RNA is then subjected to gel electrophoresis and Northern blotting, which results in separation of the charged and uncharged tRNAs. The levels of specific tRNAs in different samples can be compared due to the addition of spike-in cells for normalization. Prior to RNA purification, we add 5% of E. coli cells that overproduce the rare tRNAselC to each sample. The amount of the tRNA species of interest in a sample is then normalized to the amount of tRNAselC in the same sample. Addition of spike-in cells prior to RNA purification has the advantage over addition of purified spike-in RNAs that it also accounts for any differences in cell lysis efficiency between samples.

Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli

Here we present a method for directly measuring transfer RNA charging levels from purified Escherichia coli RNA as well as a way to compare relative levels of transfer RNA, or any other short RNA, across different samples based on the addition of spike-in cells expressing a reference gene.

Transfer RNA (tRNA) is an essential part of the translational machinery in any organism. tRNAs bind and transfer amino acids to the translating ribosome. ...

Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software

Number and brightness is a calibration-free fluorescence fluctuation spectroscopy (FFS) technique for detecting protein homo-oligomerization. It can be employed using a conventional confocal microscope equipped with digital detectors. A protocol for the use of the technique in vitro is shown by means of a use case where number and brightness can be seen to accurately quantify the oligomeric state of mVenus-labelled FKBP12F36V before and after the addition of the dimerizing drug AP20187. The importance of using the correct microscope acquisition parameters and the correct data preprocessing and analysis methods are discussed. In particular, the importance of the choice of photobleaching correction is stressed. This inexpensive method can be employed to study protein-protein interactions in many biological contexts.

Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software

This protocol describes a calibration-free approach for quantifying protein homo-oligomerization in vitro based on fluorescence fluctuation spectroscopy using commercial light scanning microscopy. The correct acquisition settings and analysis methods are shown.

Number and brightness is a calibration-free fluorescence fluctuation spectroscopy (FFS) technique for detecting protein homo-oligomerization. It can be ...

Quantification of Hypopigmentation Activity In Vitro

This study presents laboratory methods for the quantification of hypopigmentation activity in vitro. Melanin, the major pigment in melanocytes, is synthesized in response to multiple cellular and environmental factors. Melanin protects skin cells from ultraviolet damage, but also has biophysical and biochemical functions. Excessive production or accumulation of melanin in melanocytes can cause dermatological problems, such as freckles, dark spots, melasma, and moles. Therefore, the control of melanogenesis with hypopigmentation agents is important in individuals with clinical or cosmetic needs. Melanin is primarily synthesized in the melanosomes of melanocytes in a complex biochemical process called melanogenesis, which is influenced by extrinsic and intrinsic factors, such as hormones, inflammation, age, and ultraviolet light exposure. We describe three methods to determine the hypopigmentation activity of chemicals or natural substances in melanocytes: measurement of the 1) cellular tyrosinase activity and 2) melanin content, and 3) staining and quantifying cellular melanin with image analysis.
In melanogenesis, tyrosinase catalyzes the rate-limiting step that converts L-tyrosine into 3,4-dihydroxyphenylalanine (L-DOPA) and then into dopaquinone. Therefore, the inhibition of tyrosinase is a primary hypopigmentation mechanism. In cultured melanocytes, tyrosinase activity can be quantified by adding L-DOPA as a substrate and measuring dopaquinone production by spectrophotometry. Melanogenesis can also be measured by quantifying the melanin content. The melanin-containing cellular fraction is extracted with NaOH and melanin is quantified spectrophotometrically. Finally, the melanin content can be quantified by image analysis following Fontana-Masson staining of melanin. Although the results of these in vitro assays may not always be reproduced in human skin, these methods are widely used in melanogenesis research, especially as the initial step to identify potential hypopigmentation activity. These methods can also be used to assess melanocyte activity, growth, and differentiation. Consistent results with the three different methods ensure the validity of the effects.

We describe three experimental methods for evaluating the hypopigmentation activity of chemicals in vitro: quantification of 1) cellular tyrosinase activity and 2) melanin content, and 3) measurement of melanin by cellular melanin staining and image analysis.

This study presents laboratory methods for the quantification of hypopigmentation activity in vitro. Melanin, the major pigment in melanocytes, is ...

A Customizable Approach for the Enzymatic Production and Purification of Diterpenoid Natural Products

Diterpenoids form a diverse class of small molecule natural products that are widely distributed across the kingdoms of life and have critical biological functions in developmental processes, interorganismal interactions, and environmental adaptation. Due to these various bioactivities, many diterpenoids are also of economic importance as pharmaceuticals, food additives, biofuels, and other bioproducts. Advanced genomics and biochemical approaches have enabled a rapid increase in the knowledge of diterpenoid-metabolic genes, enzymes, and pathways. However, the structural complexity of diterpenoids and the narrow taxonomic distribution of individual compounds in often only a single species remain constraining factors for their efficient production. Availability of a broader range of metabolic enzymes now provide resources for producing diterpenoids in sufficient titers and purity to facilitate a deeper investigation of this important metabolite group. Drawing on established tools for microbial and plant-based enzyme co-expression, we present an easily operated and customizable protocol for the enzymatic production of diterpenoids in either Escherichia coli or Nicotiana benthamiana, and the purification of desired products via silica chromatography and semi-preparative HPLC. Using the group of maize (Zea mays) dolabralexin diterpenoids as an example, we highlight how modular combinations of diterpene synthase (diTPS) and cytochrome P450 monooxygenase (P450) enzymes can be used to generate different diterpenoid scaffolds. Purified compounds can be used in various downstream applications, such as metabolite structural analyses, enzyme structure-function studies, and in vitro and in planta bioactivity experiments.

Here we present easy to use protocols for producing and purifying diterpenoid metabolites through the combinatorial expression of biosynthetic enzymes in Escherichia coli or Nicotiana benthamiana, followed by chromatographic product purification. The resulting metabolites are suitable for various studies including molecular structure characterization, enzyme functional studies, and bioactivity assays.

Diterpenoids form a diverse class of small molecule natural products that are widely distributed across the kingdoms of life and have critical biological ...

Kinetic Screening of Nuclease Activity using Nucleic Acid Probes

Nucleases are a class of enzymes that break down nucleic acids by catalyzing the hydrolysis of the phosphodiester bonds that link the ribose sugars. Nucleases display a variety of vital physiological roles in prokaryotic and eukaryotic organisms, ranging from maintaining genome stability to providing protection against pathogens. Altered nuclease activity has been associated with several pathological conditions including bacterial infections and cancer. To this end, nuclease activity has shown great potential to be exploited as a specific biomarker. However, a robust and reproducible screening method based on this activity remains highly desirable.
Herein, we introduce a method that enables screening for nuclease activity using nucleic acid probes as substrates, with the scope of differentiating between pathological and healthy conditions. This method offers the possibility of designing new probe libraries, with increasing specificity, in an iterative manner. Thus, multiple rounds of screening are necessary to refine the probes&#39; design with enhanced features, taking advantage of the availability of chemically modified nucleic acids. The considerable potential of the proposed technology lies in its flexibility, high reproducibility, and versatility for the screening of nuclease activity associated with disease conditions. It is expected that this technology will allow the development of promising diagnostic tools with a great potential in the clinic.

Altered nuclease activity has been associated with different human conditions, underlying its potential as a biomarker. The modular and easy to implement screening methodology presented in this paper allows the selection of specific nucleic acid probes for harnessing nuclease activity as a biomarker of disease.

Nucleases are a class of enzymes that break down nucleic acids by catalyzing the hydrolysis of the phosphodiester bonds that link the ribose sugars. ...

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation

Dynamic protein-protein interactions control cellular behavior, from motility to DNA replication to signal transduction. However, monitoring dynamic interactions among multiple proteins in a protein interaction network is technically difficult. Here, we present a protocol for Quantitative Multiplex Immunoprecipitation (QMI), which allows quantitative assessment of fold changes in protein interactions based on relative fluorescence measurements of Proteins in Shared Complexes detected by Exposed Surface epitopes (PiSCES). In QMI, protein complexes from cell lysates are immunoprecipitated onto microspheres, and then probed with a labeled antibody for a different protein in order to quantify the abundance of PiSCES. Immunoprecipitation antibodies are conjugated to different MagBead spectral regions, which allows a flow cytometer to differentiate multiple parallel immunoprecipitations and simultaneously quantify the amount of probe antibody associated with each. QMI does not require genetic tagging and can be performed using minimal biomaterial compared to other immunoprecipitation methods. QMI can be adapted for any defined group of interacting proteins, and has thus far been used to characterize signaling networks in T cells and neuronal glutamate synapses. Results have led to new hypothesis generation with potential diagnostic and therapeutic applications. This protocol includes instructions to perform QMI, from the initial antibody panel selection through to running assays and analyzing data. The initial assembly of a QMI assay involves screening antibodies to generate a panel, and empirically determining an appropriate lysis buffer. The subsequent reagent preparation includes covalently coupling immunoprecipitation antibodies to MagBeads, and biotinylating probe antibodies so they can be labeled by a streptavidin-conjugated fluorophore. To run the assay, lysate is mixed with MagBeads overnight, and then beads are divided and incubated with different probe antibodies, and then a fluorophore label, and read by flow cytometry. Two statistical tests are performed to identify PiSCES that differ significantly between experimental conditions, and results are visualized using heatmaps or node-edge diagrams.

Quantitative Multiplex Immunoprecipitation (QMI) uses flow cytometry for sensitive detection of differences in the abundance of targeted protein-protein interactions between two samples. QMI can be performed using a small amount of biomaterial, does not require genetically engineered tags, and can be adapted for any previously defined protein interaction network.

Dynamic protein-protein interactions control cellular behavior, from motility to DNA replication to signal transduction. However, monitoring dynamic ...

Quantification of Humic and Fulvic Acids in Humate Ores, DOC, Humified Materials and Humic Substance-Containing Commercial Products

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Chapters in this video

Identification of Fatty Acids in Bacillus cereus

Voltage-clamp Fluorometry in Xenopus Oocytes Using Fluorescent Unnatural Amino Acids

LERLIC-MS/MS for In-depth Characterization and Quantification of Glutamine and Asparagine Deamidation in Shotgun Proteomics

Assay for Phosphorylation and Microtubule Binding Along with Localization of Tau Protein in Colorectal Cancer Cells

Quantification of the Abundance and Charging Levels of Transfer RNAs in Escherichia coli

Calibration-free In Vitro Quantification of Protein Homo-oligomerization Using Commercial Instrumentation and Free, Open Source Brightness Analysis Software

Quantification of Hypopigmentation Activity In Vitro

A Customizable Approach for the Enzymatic Production and Purification of Diterpenoid Natural Products

Kinetic Screening of Nuclease Activity using Nucleic Acid Probes

Quantification of Protein Interaction Network Dynamics using Multiplexed Co-Immunoprecipitation