The authors would like to acknowledge funding from the National Science Foundation (award # 1335550), Utah Water Research Laboratory, Professor Joan McLean and Tessa Guy for their help during the metal/metalloids analysis. The authors also thank Laura Birkhold for her support with the data collection and Danna Olbright.

<ol>
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The authors declare that they have no competing financial interests.

Tuzlu mikroalg N. salina başarıyla tekrarlanabilir sonuçlar ve yüksek biyokütle verimleri ile tasarlanmış büyüme sisteminde yetiştirilen olabilir. Hava İkmal 7 gün büyüme dönemleri boyunca en az hesaplaşmanın veya biyolojik kirliliğe ile iyi karma askıya kültür için izin karıştırma. Floresan ışık banka genelinde minimum ışık değişkenliği de büyüme fark farklılıkları üretmek değil gösterilmektedir. Çalışma ağır metal kömür baca gazı o...

Geleneksel karasal bitkileri ile karşılaştırıldığında mikroalg doğasında daha yüksek güneş dönüşüm verimliliği 1,2 nedeniyle daha yüksek bir biyokütle ve lipit verimi elde etmek için gösterilmiştir. Yüksek verimlilik oranları microalglerin Yetiştirme harici karbon kaynağı dahil olmak üzere çeşitli besin kaynağı gerektirir. Bu büyük ölçekli büyümesi tesisleri üretim maliyetlerini en aza indirmek için bu tür endüstriyel baca gazı gibi endüstriyel atık akımlarının ile entegre ve aynı zamanda, çevre iyileştirme sağlayabilir olması beklenmektedir. Endüstriyel atık karbon gaz karbondioksit şeklinde tipik ve olumsuz mikroalg üretimi etkileme potansiyeline sahip kirleticiler içerebilir. Spesifik olarak, kömürden türetilmiş baca gazı da dahil olmak üzere kirletici maddelerin çeşitli ancak yanma ürünleri, su ve karbon dioksit gibi sülfür ve nitrojen, ince toz, örneğin dioksin ve furanlar gibi organik kirletici oksitleri ve inorganik con bunlarla sınırlı değildirağır metaller gibi kirleticileri. microalgae verimlilik üzerindeki ağır metaller olarak bilinen bazıları ile inorganiklerin dahil olmak üzere bu kirleticilerin çoğunluğunun etkisi araştırılmış değil. Bu unsurların bazıları, uygun konsantrasyonlarda besin olabilir ancak yüksek konsantrasyonlarda onlar hücre disfonksiyonu ve hatta ölüme 3. üretebilir. Endüstriyel baca gazıyla mikroalg entegrasyonu doğrudan büyüme ortamı içine inorganik kirletici maddeleri tanıtmak için potansiyele sahiptir. Kömür göre baca gazı, inorganik elementler (örneğin, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, Sb, Se, Sn, V ve Zn, As) bazıları, düşük çeşitli konsantrasyonlarda bir çeşitlilik vardır konsantrasyon, mikroalg büyümesi için besin temsil etmektedir. İnorganik kirletici yüksek afiniteli bir mikroalg bağlamak için ve daha fazla besin maddesi taşıyıcıları aracılığıyla dahili emdirilebilecek sahiptir. Bazı inorganik kirletici maddeler (örneğin, Co, Cu, Zn, Mn) içeren enzim parçası besin olanfotosentez, solunum ve diğer fonksiyonlar 3,4 d. Ancak, aşırı metal ve metaloidlerin toksik olabilir. Böyle Pb, Cd, Sn, Sb, Se, As ve Hg gibi diğer unsurlar, herhangi bir konsantrasyonda hücre fonksiyonunu desteklemesi ve olumsuz kültür büyüme 3,5,6 etkileyebilecek olmayan besin metalleri temsil etmek bilinmemektedir. Bu kirletici maddelerin herhangi birinin mevcudiyeti mikroalg hücre fonksiyonu üzerinde olumsuz etkileri üretme potansiyeline sahiptir. Ayrıca, mikroalg ile birden çok metal etkileşimi büyüme dinamiği karmaşık hale getirmekte ve bir büyüme etkisi potansiyeline sahiptir. Büyük ölçekli ekonomi doğrudan yetiştirme sisteminin 7-19 verimlilik bağlantılı olmuştur. Bu kütlenin 99.9 ve% 99.4&#39;ünü, sırasıyla 20 temsil Dahası, açık kanal havuzlarda (ORP) veya fotobiyoreaktörler biri için mikroalg büyüme sistemi (PBR) orta geri dönüşüm önemlidir. medyada inorganik kirleticilerin varlığı sonuçta m sınırlayabiliricroalgae verimlilik nedeniyle kirletici birikmesi Medyanın geri dönüşüm. Bu çalışma deneysel, (Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, Sb, Se, Sn, V ve Zn, As) mikroalg yetiştirme sistemlerinin entegrasyonu beklenen konsantrasyonlarda 14 inorganik kirleticilerin etkisini tespit Kömür N. üretkenliğine, baca gazı kaynaklı olan salina airlift PBRs yetişmektedir. Bu çalışmada kullanılan kirletici maddeler yalnızca kömür bazlı baca gazı, ancak belediye atık göre baca gazı, biyolojik katı maddeler bazlı baca gazı, belediye atık su, üretilen suyun, bozulmuş yeraltı suyu ve deniz 21-23 mevcut vermeye gösterilmiştir. Bu çalışmada kullanılan konsantrasyonlar mikroalg büyüme sistemleri ticari PBR sistemleri 20 gösterildiği, bir alım verimle bir kömür bazlı CO2 kaynağı ile entegre takdirde beklenebilecek olana dayanmaktadır. Ağır metaller ve inorganik kirleticilerin konsantrasyonlarının destekleyen detaylı hesaplamalar Napan sunulmuşturve ark., 24 analitik teknikler biyokütle, medya ve ortamda metallerin çoğu dağılımını anlamak için kullanıldı. sunulan yöntemler inorganik kirletici stres ve bitiş kader miktarının altında microalglerin verimlilik potansiyelinin değerlendirilmesini sağladı.

<table border="0" cellpadding="0" cellspacing="0">
	<tbody>
		<tr>
			<td colspan="4">Chemicals</td>
		</tr>
		<tr>
			<td>Sodium chloride</td>
			<td>Fisher Scientific</td>
			<td>S271-3</td>
			<td></td>
		</tr>
		<tr>
			<td>Calcium chloride dihydrate</td>
			<td>Fisher Scientific</td>
			<td>C79-500</td>
			<td></td>
		</tr>
		<tr>
			<td>Potassium chloride</td>
			<td>Fisher Scientific</td>
			<td>P217-500</td>
			<td></td>
		</tr>
		<tr>
			<td>Sodium meta silicate nonahydrate&#160;</td>
			<td>Fisher Scientific</td>
			<td>S408-500</td>
			<td></td>
		</tr>
		<tr>
			<td>Magnesium sulfate heptahydrate&#160;</td>
			<td>Fisher Scientific</td>
			<td>M63-500</td>
			<td></td>
		</tr>
		<tr>
			<td>Potassium nitrate</td>
			<td>EMD Chemical</td>
			<td>PX1520-5</td>
			<td></td>
		</tr>
		<tr>
			<td>Potassium phosphate monobasic&#160;</td>
			<td>Fisher Scientific</td>
			<td>P285-500</td>
			<td></td>
		</tr>
		<tr>
			<td>Ammonium ferric citrate</td>
			<td>Fisher Scientific</td>
			<td>I72-500</td>
			<td></td>
		</tr>
		<tr>
			<td>Boric acid</td>
			<td>Fisher Scientific</td>
			<td>A73-500</td>
			<td></td>
		</tr>
		<tr>
			<td>Sodium molybdate, dihydrate</td>
			<td>EMD Chemical</td>
			<td>SX0650-2</td>
			<td></td>
		</tr>
		<tr>
			<td>Manganese chloride tetrahydrate</td>
			<td>Fisher Scientific</td>
			<td>M87-500</td>
			<td></td>
		</tr>
		<tr>
			<td>Zinc sulfate heptahydrate</td>
			<td>Fisher Scientific</td>
			<td>Z68-500</td>
			<td></td>
		</tr>
		<tr>
			<td>Cupric sulfate pentahydrate</td>
			<td>Fisher Scientific</td>
			<td>C489-500</td>
			<td></td>
		</tr>
		<tr>
			<td>Biotin&#160;</td>
			<td>Acros Organics</td>
			<td>230090010</td>
			<td></td>
		</tr>
		<tr>
			<td>Thiamine&#160;</td>
			<td>Acros Organics</td>
			<td>148990100</td>
			<td></td>
		</tr>
		<tr>
			<td>Vitamin B12&#160;</td>
			<td>Acros Organics</td>
			<td>405920010</td>
			<td></td>
		</tr>
		<tr>
			<td>Copper (II) chloride dihydrate&#160;</td>
			<td>Sigma-Aldrich</td>
			<td>221783-100G</td>
			<td>Irritant, Dangerous to the Environment</td>
		</tr>
		<tr>
			<td>Lead (II) chloride&#160;</td>
			<td>Sigma-Aldrich</td>
			<td>268690-250G</td>
			<td>Toxic, Dangerous to the Environment</td>
		</tr>
		<tr>
			<td>Sodium dichromate dihydrate&#160;</td>
			<td>Sigma-Aldrich</td>
			<td>398063-100G</td>
			<td>Oxidizing, Highly Toxic, Dangerous to the Environment</td>
		</tr>
		<tr>
			<td>Cobalt (II) chloride hexahydrate&#160;</td>
			<td>Sigma-Aldrich</td>
			<td>255599-100G</td>
			<td>Toxic, Dangerous to the Environment</td>
		</tr>
		<tr>
			<td>Nickel (II) chloride hexahydrate&#160;</td>
			<td>Sigma-Aldrich</td>
			<td>223387-500G</td>
			<td>Toxic, Dangerous to the Environment</td>
		</tr>
		<tr>
			<td>Sodium (meta) arsenite&#160;</td>
			<td>Sigma-Aldrich</td>
			<td>71287</td>
			<td>Toxic, Dangerous to the Environment</td>
		</tr>
		<tr>
			<td>Cadmium chloride&#160;</td>
			<td>Sigma-Aldrich</td>
			<td>202908-10G</td>
			<td>Highly Toxic, Dangerous to the Environment</td>
		</tr>
		<tr>
			<td>Mercury (II) chloride&#160;</td>
			<td>Sigma-Aldrich</td>
			<td>215465-100G</td>
			<td>Toxic, Dangerous to the Environment</td>
		</tr>
		<tr>
			<td>Tin (II) chloride dihydrate</td>
			<td>Fisher Scientific</td>
			<td>T142-500</td>
			<td>Corrosive. Suitable for Hg analysis. Very hazardous.</td>
		</tr>
		<tr>
			<td>Manganese chloride tetrahydrate</td>
			<td>Fisher Scientific</td>
			<td>M87-500</td>
			<td></td>
		</tr>
		<tr>
			<td>Vanadium (V) oxide</td>
			<td>Acros Organics</td>
			<td>206422500</td>
			<td>Dangerous to the Environment</td>
		</tr>
		<tr>
			<td>Carbon dioxide&#160;</td>
			<td>Air Liquide</td>
			<td>I2301S-1</td>
			<td>Compressed</td>
		</tr>
		<tr>
			<td>Hydrogen peroxide</td>
			<td>H325-500</td>
			<td>Fisher Scientific</td>
			<td>30% in water</td>
		</tr>
		<tr>
			<td>ICP-MS standard</td>
			<td>ICP-MS-6020</td>
			<td>High Purity Standards</td>
			<td></td>
		</tr>
		<tr>
			<td>Mercury standard</td>
			<td>CGHG1-1</td>
			<td>Inorganic Ventures</td>
			<td>1000&#177;6 &#181;g/mL in 5% nitric acid</td>
		</tr>
		<tr>
			<td>Argon</td>
			<td>Air Liquide</td>
			<td></td>
			<td>Compressed</td>
		</tr>
		<tr>
			<td>Helium</td>
			<td>Air Liquide</td>
			<td></td>
			<td>Compressed, ultra high purity</td>
		</tr>
		<tr>
			<td>Hydrogen</td>
			<td>Air Liquide</td>
			<td></td>
			<td>Compressed, ultra high purity</td>
		</tr>
		<tr>
			<td>Nitric acid</td>
			<td>Fisher Scientific</td>
			<td>A509-P212</td>
			<td>67-70% nitric acid, trace metal grade. Caution: manipulate under fume hood.</td>
		</tr>
		<tr>
			<td>Hydrochloric acid</td>
			<td>Fisher Scientific</td>
			<td>A508-P212</td>
			<td>35% hydrochloric acid, trace metal grade. Caution: manipulate under fume hood.</td>
		</tr>
		<tr>
			<td colspan="4">Equipment</td>
		</tr>
		<tr>
			<td>Scientific prevacuum sterilizer</td>
			<td>Steris</td>
			<td>31626A</td>
			<td>SV-120</td>
		</tr>
		<tr>
			<td>Centrifuge</td>
			<td>Thermo Fisher</td>
			<td>46910</td>
			<td>RC-6 Plus</td>
		</tr>
		<tr>
			<td>Spectrophotometer</td>
			<td>Shimadzu</td>
			<td>1867</td>
			<td>UV-1800</td>
		</tr>
		<tr>
			<td>pH controller</td>
			<td>Hanna</td>
			<td>BL981411</td>
			<td>X4</td>
		</tr>
		<tr>
			<td>Rotometer, X5</td>
			<td>Dwyer</td>
			<td>RMA-151-SSV</td>
			<td>T31Y</td>
		</tr>
		<tr>
			<td>Rotometer, X5</td>
			<td>Dwyer</td>
			<td>RMA-26-SSV</td>
			<td>T35Y</td>
		</tr>
		<tr>
			<td>Water bath circulator</td>
			<td>Fisher Scientific</td>
			<td>13-873-45A</td>
			<td></td>
		</tr>
		<tr>
			<td>Compact chiller</td>
			<td>VWR</td>
			<td>13270-120</td>
			<td></td>
		</tr>
		<tr>
			<td>Freeze dryer</td>
			<td>Labconco</td>
			<td>7752020</td>
			<td></td>
		</tr>
		<tr>
			<td>Stir plate</td>
			<td>Fisher Scientific</td>
			<td>11-100-49S</td>
			<td></td>
		</tr>
		<tr>
			<td>pH lab electrode</td>
			<td>Phidgets Inc</td>
			<td>3550</td>
			<td></td>
		</tr>
		<tr>
			<td>Inductively coupled plasma mass spectrometer</td>
			<td>Agilent Technologies</td>
			<td>7700 Series ICP-MS</td>
			<td>Attached to autosampler CETAC ASX-520</td>
		</tr>
		<tr>
			<td>FIAS 100</td>
			<td>Perkin Elmer Instruments</td>
			<td>B0506520</td>
			<td></td>
		</tr>
		<tr>
			<td>Atomic absorption spectrometer</td>
			<td>Perkin Elmer Instruments</td>
			<td>AAnalyst 800</td>
			<td></td>
		</tr>
		<tr>
			<td>Cell heater (quartz)</td>
			<td>Perkin Elmer Instruments</td>
			<td>B3120397</td>
			<td></td>
		</tr>
		<tr>
			<td>Microwave</td>
			<td>Milestone</td>
			<td></td>
			<td>Programmable, maximum power 1200 W</td>
		</tr>
		<tr>
			<td>Microwave rotor</td>
			<td>Milestone</td>
			<td></td>
			<td>Rotor with 24 75 mL Teflon vessels for closed-vessel microwave assisted digestion.</td>
		</tr>
		<tr>
			<td colspan="4">Materials</td>
		</tr>
		<tr>
			<td>0.2 micron syringe filter</td>
			<td>Whatman</td>
			<td>6713-0425</td>
			<td></td>
		</tr>
		<tr>
			<td>0.2 micron syringe filter</td>
			<td>Whatman</td>
			<td>6713-1650</td>
			<td></td>
		</tr>
		<tr>
			<td>0.45 micron syringe filter</td>
			<td>Thermo Fisher</td>
			<td>F2500-3</td>
			<td></td>
		</tr>
		<tr>
			<td>Polystyrene tubes</td>
			<td>Evergreen</td>
			<td>222-2094-050</td>
			<td>17x100 mm w/cap, 16 mL, polysteryne</td>
		</tr>
		<tr>
			<td>Octogonal magnetic&#160;stir&#160;bars</td>
			<td>Fisher scientific</td>
			<td>14-513-60</td>
			<td>Magnets encased in PTFE fluoropolymer</td>
		</tr>
	</tbody>
</table>

quantification of heavy metals and other inorganic contaminants on the productivity of microalgae

Yenilenebilir yakıtlar için artan talebi gibi mikroalglerin gibi alternatif feedstocks, fizibilite araştıran araştırmacılar vardır. Kalıtsal avantajlar atık akışları ile potansiyeli yüksek verim olmayan ekilebilir arazi kullanımı ve entegrasyonu yer alıyor. büyük ölçekli mikroalg üretim sisteminin besin gereksinimleri gibi baca gazı ve atık sudan besin karbon dioksit gibi endüstriyel atık kaynakları, yetiştirme sistemleri kaplini gerektirecektir. Bu atıkların mevcut inorganik kirleticiler potansiyel olumsuz verimlilik ve sınırlayıcı uç kullanımını etkileyen mikroalg biyokütle biyolojik birikme yol açabilir. Bu çalışma etkisi deneysel değerlendirilmesi ve Nannochloropsis salina büyüme üzerinde 14 inorganik kirleticiler (As, Cd, Co, Cr, Cu, Hg, Mn, Ni, Pb, Sb, Se, Sn, V ve Zn) kaderi üzerinde duruluyor . Mikroalgler büyüme m pH 7&#39;de 984 ľmol m -2 sn ışıklı fotobiyoreaktörler yetiştirilen -1 ve muhafaza edildiseviyelerde inorganik kirleticiler ile kirlenmiş edia ticari kömür baca gazı sistemlerinde bulunan bileşimine dayalı beklenen. Biyokütle ve 7 gün büyüme dönemi sonunda ortamda bulunan kirleticiler analitik, Hg ve As, Cd, Co, Cr, Cu, Mn, Ni için indüktif eşleşmiş plazma kütle spektrometresi sayesinde soğuk buhar atomik absorpsiyon spektrometresi ile ölçüldü Pb, Sb, Se, Sn, V ve Zn&#39;den en. Sonuçlar N. göstermek salina bu kirleticilerin giriş yieldwith biyokütlesindeki istatistiksel azalma ile çoklu metal çevreye duyarlı bir türdür. Burada sunulan teknikler alg büyümesini miktarının ve inorganik kirleticilerin kaderini belirlemek için yeterli.

Biyokütle verimleri N. üretimi salina Bu çalışmada kullanılan PBR sistemi içinde 8.5, 1 g / L-1 ila ± 0.19 g / L-1 (n = 12), kontrol reaktörleri ve 4.0 ± 0.3 g / L-1 (n = 12) büyümüştür Çoklu metal 7 gün içinde kirlenmiş. Deneyler üçlü reaktörler ve çoklu toplu genelinde tekrarlanabilir veriler üretti. Şekil 2A üç bağımsız PBRs numune dayalı çok küçük standart hata ile ortalama kültür yo...

Watch this Scientific Journal Video about Quantification of Heavy Metals and Other Inorganic Contaminants on the Productivity of Microalgae at JoVE.com

Quantification of Heavy Metals and Other Inorganic Contaminants on the Productivity of Microalgae

Integration of microalgal cultivation with industrial flue gas will ultimately introduce heavy metals and other inorganic compounds into the growth media. This study presents a procedure used to determine the end fate and impact of heavy metals and inorganic contaminants on the growth of Nannochloropsis salina grown in photobioreactors.

Ağır Metal ve Mikroalglerden Verimlilik Diğer İnorganik Bulaşanlar Kantitasyonu

Increasing demand for renewable fuels has researchers investigating the feasibility of alternative feedstocks, such as microalgae. Inherent advantages ...

quantification-heavy-metals-other-inorganic-contaminants-on

Research

JoVE Journal

Environment

15.8K Görüntüleme.  Utah State University. Integration of microalgal cultivation with industrial flue gas will ultimately introduce heavy metals and other inorganic compounds into the growth media. This study presents a procedure used to determine the end fate and impact of heavy metals and inorganic contaminants on the growth of Nannochloropsis salina grown in photobioreactors.

Video: Quantification of Heavy Metals and Other Inorganic Contaminants on the Productivity of Microalgae

Analysis of Fatty Acid Content and Composition in Microalgae

A method to determine the content and composition of total fatty acids present in microalgae is described. Fatty acids are a major constituent of microalgal biomass. These fatty acids can be present in different acyl-lipid classes. Especially the fatty acids present in triacylglycerol (TAG) are of commercial interest, because they can be used for production of transportation fuels, bulk chemicals, nutraceuticals (&omega;-3 fatty acids), and food commodities. To develop commercial applications, reliable analytical methods for quantification of fatty acid content and composition are needed. Microalgae are single cells surrounded by a rigid cell wall. A fatty acid analysis method should provide sufficient cell disruption to liberate all acyl lipids and the extraction procedure used should be able to extract all acyl lipid classes.
With the method presented here all fatty acids present in microalgae can be accurately and reproducibly identified and quantified using small amounts of sample (5 mg) independent of their chain length, degree of unsaturation, or the lipid class they are part of.
This method does not provide information about the relative abundance of different lipid classes, but can be extended to separate lipid classes from each other.
The method is based on a sequence of mechanical cell disruption, solvent based lipid extraction, transesterification of fatty acids to fatty acid methyl esters (FAMEs), and quantification and identification of FAMEs using gas chromatography (GC-FID). A TAG internal standard (tripentadecanoin) is added prior to the analytical procedure to correct for losses during extraction and incomplete transesterification.

A method for the determination of fatty acid content and composition in microalgae based on mechanical cell disruption, solvent based lipid extraction, transesterification, and quantification and identification of fatty acids using gas chromatography is described. A tripentadecanoin internal standard is used to compensate for the possible losses during extraction and incomplete transesterification.

Mikroalglerden yağlı asit içeriği ve bileşimi analizi

A method to determine the content and composition of total fatty acids present in microalgae is described. Fatty acids are a major constituent of ...

Çevre

Assaying Predatory Feeding Behaviors in Pristionchus and Other Nematodes

This protocol provides multiple methods for the analysis and quantification of predatory feeding behaviors in nematodes. Many nematode species including Pristionchus pacificus display complex behaviors, the most striking of which is the predation of other nematode larvae. However, as these behaviors are absent in the model organism Caenorhabditis elegans, they have thus far only recently been described in detail along with the development of reliable behavioral assays 1. These predatory behaviors are dependent upon phenotypically plastic but fixed mouth morphs making the correct identification and categorization of these animals essential. In P. pacificus there are two mouth types, the stenostomatous and eurystomatous morphs 2, with only the wide mouthed eurystomatous containing an extra tooth and being capable of killing other nematode larvae. Through the isolation of an abundance of size matched prey larvae and subsequent exposure to predatory nematodes, assays including both "corpse assays" and "bite assays" on correctly identified mouth morph nematodes are possible. These assays provide a means to rapidly quantify predation success rates and provide a detailed behavioral analysis of individual nematodes engaged in predatory feeding activities. In addition, with the use of a high-speed camera, visualization of changes in pharyngeal activity including tooth and pumping dynamics are also possible.

Assaying Predatory Feeding Behaviors in Pristionchus and Other Nematodes

Behavioral assays provide powerful tools for understanding neuronal function. Here we present several protocols for quantifying predatory feeding behavior found in the model nematode Pristionchus pacificus and its relatives. Additionally, we provide methods for analyzing predatory feeding adaptations including mouth structures and teeth.

içinde Yırtıcı Beslenme Davranışları tahlil<em&gt; Pristionchus</em&gt; Ve Diğer Nematodlar

This protocol provides multiple methods for the analysis and quantification of predatory feeding behaviors in nematodes. Many nematode species including ...

Ecotoxicological Method with Marine Bacteria Vibrio anguillarum to Evaluate the Acute Toxicity of Environmental Contaminants

Bacteria are an important component of the ecosystem, and microbial community alterations can have a significant effect on biogeochemical cycling and food webs. Toxicity testing based on microorganisms are widely used because they are relatively quick, reproducible, cheap, and are not associated with ethical issues. Here, we describe an ecotoxicological method to evaluate the biological response of the marine bacterium Vibrio anguillarum. This method assesses the acute toxicity of chemical compounds, including new contaminants such as nanoparticles, as well as environmental samples. The endpoint is the reduction of bacterial culturability (i.e., the capability to replicate and form colonies) due to exposure to a toxicant. This reduction can be generally referred to as mortality. The test allows for the determination of the LC50, the concentration that causes a 50% decrease of bacteria actively replicating and forming colonies, after a 6 h exposure. The culturable bacteria are counted in terms of colony forming units (CFU), and the &#34;mortality&#34; is evaluated and compared to the control. In this work, the toxicity of copper sulphate (CuSO4) was evaluated. A clear dose-response relationship was observed, with a mean LC50 of 1.13 mg/L, after three independent tests. This protocol, compared to existing methods with microorganisms, is applicable in a wider range of salinity and has no limitations for colored/turbid samples. It uses saline solution as the exposure medium, avoiding any possible interferences of growth medium with the investigated contaminants. The LC50 calculation facilitates comparisons with other bioassays commonly applied to ecotoxicological assessments of the marine environment.

Ecotoxicological Method with Marine Bacteria Vibrio anguillarum to Evaluate the Acute Toxicity of Environmental Contaminants

This work describes a new protocol to assess the ecotoxicity of pollutants, including emerging contaminants such as nanomaterials, using the marine bacterium Vibrio anguillarum. This method allows for the determination of the LC50, or mortality, the concentration that causes a 50% decrease in bacteria culturability, after a 6 h exposure.

Deniz Bakterileri ile Ekotoksikolojik Yöntem<emVibrio anguillarum</em&gt; Çevresel Kirleticilerin Akut Zehirliliğini Değerlendirmek

Bacteria are an important component of the ecosystem, and microbial community alterations can have a significant effect on biogeochemical cycling and food ...

Determination of Inorganic Arsenic in a Wide Range of Food Matrices using Hydride Generation - Atomic Absorption Spectrometry.

The European Food Safety Authority (EFSA) underlined in its Scientific Opinion on Arsenic in Food that in order to support a sound exposure assessment to inorganic arsenic through diet, information about distribution of arsenic species in various food types must be generated. A method, previously validated in a collaborative trial, has been applied to determine inorganic arsenic in a wide variety of food matrices, covering grains, mushrooms and food of marine origin (31 samples in total). The method is based on detection by flow injection-hydride generation-atomic absorption spectrometry of the iAs selectively extracted into chloroform after digestion of the proteins with concentrated HCl. The method is characterized by a limit of quantification of 10 &#181;g/kg dry weight, which allowed quantification of inorganic arsenic in a large amount of food matrices. Information is provided about performance scores given to results obtained with this method and which were reported by different laboratories in several proficiency tests. The percentage of satisfactory results obtained with the discussed method is higher than that of the results obtained with other analytical approaches.

The usefulness of an analytical method to determine inorganic arsenic in a wide range of food matrices is demonstrated. The method consists of selective extraction of inorganic arsenic into chloroform with a final determination by hydride generation-atomic absorption spectrometry.

İnorganik arsenik içinde bir geniş aralığı, gıda hidrür üretimi - atomik Absorpsiyon spektrometresi kullanılarak matrisler belirlenmesi.

The European Food Safety Authority (EFSA) underlined in its Scientific Opinion on Arsenic in Food that in order to support a sound exposure assessment to ...

Harvesting Venom Toxins from Assassin Bugs and Other Heteropteran Insects

Heteropteran insects such as assassin bugs (Reduviidae) and giant water bugs (Belostomatidae) descended from a common predaceous and venomous ancestor, and the majority of extant heteropterans retain this trophic strategy. Some heteropterans have transitioned to feeding on vertebrate blood (such as the kissing bugs, Triatominae; and bed bugs, Cimicidae) while others have reverted to feeding on plants (most Pentatomomorpha). However, with the exception of saliva used by kissing bugs to facilitate blood-feeding, little is known about heteropteran venoms compared to the venoms of spiders, scorpions and snakes.
One obstacle to the characterization of heteropteran venom toxins is the structure and function of the venom/labial glands, which are both morphologically complex and perform multiple biological roles (defense, prey capture, and extra-oral digestion). In this article, we describe three methods we have successfully used to collect heteropteran venoms. First, we present electrostimulation as a convenient way to collect venom that is often lethal when injected into prey animals, and which obviates contamination by glandular tissue. Second, we show that gentle harassment of animals is sufficient to produce venom extrusion from the proboscis and/or venom spitting in some groups of heteropterans. Third, we describe methods to harvest venom toxins by dissection of anaesthetized animals to obtain the venom glands. This method is complementary to other methods, as it may allow harvesting of toxins from taxa in which electrostimulation and harassment are ineffective. These protocols will enable researchers to harvest toxins from heteropteran insects for structure-function characterization and possible applications in medicine and agriculture.

Although many insects in the suborder Heteroptera (Insecta: Hemiptera) are venomous, their venom composition and the functions of their venom toxins are mostly unknown. This protocol describes methods to harvest heteropteran venoms for further characterization, using electrostimulation, harassment, and gland dissection.

Venom toksinlerin Assassin böcek ve diğer Heteropteran böcekler hasat

Heteropteran insects such as assassin bugs (Reduviidae) and giant water bugs (Belostomatidae) descended from a common predaceous and venomous ancestor, ...

Evaluation of the Productivity of Social Wasp Colonies (Vespinae) and an Introduction to the Traditional Japanese Vespula Wasp Hunting Technique

For vespine wasps, colony productivity is typically estimated by counting the number of larval cells. This paper presents an improved method that enables researchers to estimate more accurately the number of adults produced, counting the number of meconia (the stools left in the cells by wasp larvae when pupating into adults, per 100 cells) in each comb. This method can be applied before or after colony collapse (i.e., in active or inactive nests). The paper also describes how to locate wild Vespula wasp colonies by &#34;flagging&#34; wasp baits and chasing the wasp collecting them, using a method traditionally performed by local people in central Japan (as illustrated in the associated video). The Vespula chasing method described has several advantages: it is easy to reinitiate the chase from a point where the forager flying back to the nest was lost, and it is easy to pinpoint the nest location as marked wasps often lose their flag at the nest entrance. These methods for estimating colony productivity and collecting nests can be valuable for researchers studying social wasps.

Evaluation of the Productivity of Social Wasp Colonies Vespinae and an Introduction to the Traditional Japanese Vespula Wasp Hunting Technique

This methodological paper evaluates the productivity of a social wasp colony by examining the number of meconia per 100 cells of comb, to estimate the total number of adults the wasps produced. The associated video describes how to search for Vespula wasp nests, a method developed by amateur wasp chasers.

Sosyal Arı Kolonilerinin (Vespinae) Verimliliğinin Değerlendirilmesi ve Geleneksel Japon Vespula Wasp Avlanma Tekniğine Giriş

For vespine wasps, colony productivity is typically estimated by counting the number of larval cells. This paper presents an improved method that enables ...

Cultivation of Green Microalgae in Bubble Column Photobioreactors and an Assay for Neutral Lipids

There is significant interest in the study of microalgae for engineering applications such as the production of biofuels, high value products, and for the treatment of wastes. As most new research efforts begin at laboratory scale, there is a need for cost-effective methods for culturing microalgae in a reproducible manner. Here, we communicate an effective approach to culture microalgae in laboratory-scale photobioreactors, and to measure the growth and neutral lipid content of that algae. Instructions are also included on how to set up the photobioreactor system. Although the example organisms are species of Chlorella and Auxenochlorella, this system can be adapted to cultivate a wide range of microalgae, including co-cultures of algae with non-algae species. Stock cultures are first grown in bottles to produce inoculum for the photobioreactor system. Algae inoculum is concentrated and transferred to photobioreactors for cultivation in batch mode. Samples are collected daily for the optical density readings. At the end of the batch culture, cells are harvested by centrifuge, washed, and freeze dried to obtain a final dry weight concentration. The final dry weight concentration is used to create a correlation between the optical density and the dry weight concentration. A modified Folch method is subsequently used to extract total lipids from the freeze-dried biomass and the extract is assayed for its neutral lipid content using a microplate assay. This assay has been published previously but protocol steps were included here to highlight critical steps in the procedure where errors frequently occur. The bioreactor system described here fills a niche between simple flask cultivation and fully-controlled commercial bioreactors. Even with only 3-4 biological replicates per treatment, our approach to culturing algae leads to tight standard deviations in the growth and lipid assays.

Here, we present a protocol to construct lab-scale bubble column photobioreactors and use them to culture microalgae. It also provides a method for the determination of the culture growth rate and neutral lipid content.

Kabarcık sütun Photobioreactors ve bir tahlil yeşil mikroalg ekimi için nötr lipitler

There is significant interest in the study of microalgae for engineering applications such as the production of biofuels, high value products, and for the ...

Microalgae Cultivation and Biomass Quantification in a Bench-Scale Photobioreactor with Corrosive Flue Gases

Photobioreactors are illuminated cultivation systems for experiments on phototrophic microorganisms. These systems provide a sterile environment for microalgal cultivation with temperature, pH, and gas composition and flow rate control. At bench-scale, photobioreactors are advantageous to researchers studying microalgal properties, productivity, and growth optimization. At industrial scales, photobioreactors can maintain product purity and improve production efficiency. The video describes the preparation and use of a bench-scale photobioreactor for microalgal cultivation, including the safe use of corrosive gas inputs, and details relevant biomass measurements and biomass productivity calculations. Specifically, the video illustrates microalgal culture storage and preparation for inoculation, photobioreactor assembly and sterilization, biomass concentration measurements, and a logistic model for microalgal biomass productivity with rate calculations including maximum and overall biomass productivities. Additionally, since there is growing interest in experiments to cultivate microalgae using simulated or real waste gas emissions, the video will cover the photobioreactor equipment adaptations necessary to work with corrosive gases and discuss safe sampling in such scenarios.

Bench-scale, axenic cultivation facilitates microalgal characterization and productivity optimization before subsequent process scale-up. Photobioreactors provide the necessary control for reliable and reproducible microalgal experiments and can be adapted to safely cultivate microalgae with the corrosive gases (CO2, SO2, NO2) from municipal or industrial combustion emissions.

Korozif Baca Gazlı Tezgah Ölçekli Fotobiyoreaktörde Mikroalg Ekimi ve Biyokütle Kantifikasyonu

Photobioreactors are illuminated cultivation systems for experiments on phototrophic microorganisms. These systems provide a sterile environment for ...

Two-Dimensional Visualization and Quantification of Labile, Inorganic Plant Nutrients and Contaminants in Soil

We describe a method for two-dimensional (2D) visualization and quantification of the distribution of labile (i.e., reversibly adsorbed) inorganic nutrient (e.g., P, Fe, Mn) and contaminant (e.g., As, Cd, Pb) solute species in the soil adjacent to plant roots (the &#8216;rhizosphere&#8217;) at sub-millimeter (~100 &#181;m) spatial resolution. The method combines sink-based solute sampling by the diffusive gradients in thin films (DGT) technique with spatially resolved chemical analysis by laser ablation inductively coupled plasma mass spectrometry (LA-ICP-MS). The DGT technique is based on thin hydrogels with homogeneously distributed analyte-selective binding phases. The variety of available binding phases allows for the preparation of different DGT gel types following simple gel fabrication procedures. For DGT gel deployment in the rhizosphere, plants are grown in flat, transparent growth containers (rhizotrons), which enable minimal invasive access to a soil-grown root system. After a pre-growth period, DGT gels are applied to selected regions of interest for in situ solute sampling in the rhizosphere. Afterwards, DGT gels are retrieved and prepared for subsequent chemical analysis of the bound solutes using LA-ICP-MS line-scan imaging. Application of internal normalization using 13C and external calibration using matrix-matched gel standards further allows for the quantification of the 2D solute fluxes. This method is unique in its capability to generate quantitative, sub-mm scale 2D images of multi-element solute fluxes in soil-plant environments, exceeding the achievable spatial resolution of other methods for measuring solute gradients in the rhizosphere substantially. We present the application and evaluation of the method for imaging multiple cationic and anionic solute species in the rhizosphere of terrestrial plants and highlight the possibility of combining this method with complementary solute imaging techniques.

This protocol presents a workflow for sub-mm 2D visualization of multiple labile inorganic nutrient and contaminant solute species using diffusive gradients in thin films (DGT) combined with mass spectrometry imaging. Solute sampling and high-resolution chemical analysis are described in detail for quantitative mapping of solutes in the rhizosphere of terrestrial plants.

Topraktaki Labile, Inorganik Bitki Besinleri ve Kirleticilerin İki Boyutlu Görselleştirilmesi ve Nicelleştirilmesi

We describe a method for two-dimensional (2D) visualization and quantification of the distribution of labile (i.e., reversibly adsorbed) inorganic ...

Quantification of the Potential Impact of Glyphosate-Based Products on Microbiomes

Glyphosate-based products (GBP) are the most common broad-spectrum herbicides worldwide. The target of glyphosate is the enzyme 5-enolpyruvylshikimate-3-phosphate synthase (EPSPS) in the shikimate pathway, which is virtually universal in plants. The inhibition of the enzyme stops the production of three essential amino acids: phenylalanine, tyrosine, and tryptophan. EPSPS is also present in fungi and prokaryotes, such as archaea and bacteria; thus, the use of GBP may have an impact on the microbiome composition of soils, plants, herbivores, and secondary consumers. This article aims to present general guidelines to assess the effect of GBP on microbiomes from field experiments to bioinformatics analyses and provide a few testable hypotheses. Two field experiments are presented to test the GBP on non-target organisms. First, plant-associated microbes from 10 replicated control and GBP treatment plots simulating no-till cropping are sampled and analyzed. In the second experiment, samples from experimental plots fertilized by either poultry manure containing glyphosate residues or non-treated control manure were obtained. Bioinformatics analysis of EPSPS protein sequences is utilized to determine the potential sensitivity of microbes to glyphosate. The first step in estimating the effect of GBP on microbiomes is to determine their potential sensitivity to the target enzyme (EPSPS). Microbial sequences can be obtained either from public repositories or by means of PCR amplification. However, in the majority of field studies, microbiome composition has been determined based on universal DNA markers such as the 16S rRNA and the internal transcribed spacer (ITS). In these cases, sensitivity to glyphosate can only be estimated through a probabilistic analysis of EPSPS sequences using closely related species. The quantification of the potential sensitivity of organisms to glyphosate, based on the EPSPS enzyme, provides a robust approach for further experiments to study target and non-target resistant mechanisms.

Glyphosate-based products (GBP) are the most common broad-spectrum herbicides worldwide. In this article, we introduce general guidelines to quantify the effect of GBP on microbiomes, from field experiments to bioinformatics analyses.