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Hydrogen Sulfide

Hydrogen sulfide (H2S) is a colorless, flammable gas with a characteristic rotten egg odor.
It is a natural compound found in volcanic gases, natural gas, and some industrial processes.
H2S plays a role in various biological processes, including cell signaling, and has potential therapeutic applications.
Accurate and reproducible research protocols are crucial for advancing our understanding of hydrogen sulfide and its impact on health and disease.
PubCompare.ai's AI-powered platform can help researchers locate the most reliable H2S protocols from literature, preprints, and patents, and compare them to identify the optimal methods and produtcs for their projects.
This enhanced efficiency and accuracy can drive advancements in hydrogen sulfide research.

Most cited protocols related to «Hydrogen Sulfide»

1
Quantification of leaf H2S, H2O2, and NO
Cited 8 times
Hydrogen sulfide quantification was performed as described by Nashef et al. (1977) (link). Briefly, strawberry leaf tissue was ground into fine powder with a mortar and pestle under liquid nitrogen and ~0.3g of frozen tissue were homogenized in 1ml of 100mM potassium phosphate buffer (pH 7) containing 10mM EDTA. The homogenate was centrifuged at 15,000 g for 15min at 4 °C and 100 μl of the supernatant was used for the quantification of H2S, in an assay mixture containing also 1880 μl extraction buffer and 20 μl of 20mM 5,5’-dithiobis(2-nitrobenzoic acid), in a total volume of 2ml. The assay mixture was incubated at room temperature for 2min and the absorbance was read at 412nm. Hydrogen sulfide was quantified based on a standard curve of known concentrations of NaHS.
Leaf hydrogen peroxide content was assayed as described by Loreto and Velikova (2001 (link)). Frozen leaf material (~0.1g) was homogenized on ice with 0.1% (w/v) TCA. The homogenate was centrifuged at 15,000 g for 15min at 4 °C and 0.5ml of the supernatant was added to 0.5ml of 10mM potassium phosphate buffer (pH 7.0) and 1ml of 1M KI. The absorbance of assay mixture was read at 390nm and the content of H2O2 was calculated based on a standard curve of known concentrations of H2O2.
Nitric oxide content was determined according to Zhou et al. (2005) (link). Briefly, frozen leaf material (~0.1g) was homogenized in 50mM cool acetic acid (pH 3.6) containing 4% zinc acetate and centrifuged at 10,000 g for 15min at 4 °C. The supernatant was collected and the pellet was washed with 0.5ml extraction buffer and centrifuged again. The two supernatants were combined and 0.1g charcoal was added. The mixture was agitated and centrifuged at 15,000 g for 15min at 4 °C. To 1ml of clear supernatant, 1ml Griess reagent was added and the mixture was incubated at room temperature for 30min. The absorbance of the mixture was read at 540nm and NO content was calculated by comparison to a standard curve of NaNO2.
Christou A., Manganaris G.A., Papadopoulos I, & Fotopoulos V. (2013). Hydrogen sulfide induces systemic tolerance to salinity and non-ionic osmotic stress in strawberry plants through modification of reactive species biosynthesis and transcriptional regulation of multiple defence pathways. Journal of Experimental Botany, 64(7), 1953-1966.
Publication 2013
Acetic Acid Biological Assay Buffers Charcoal Edetic Acid Freezing Griess reagent Hydrogen Sulfide Nitrobenzoic Acids Nitrogen Peroxide, Hydrogen Plant Leaves potassium phosphate Powder sodium bisulfide Strawberries Tissues Zinc Acetate
2
Optimized Sulfide Detection in Biological Samples
Cited 7 times

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Publication 2015
Amber Biopharmaceuticals Blood Vessel Buffers Cardiac Arrest Edetic Acid Erythrocytes High-Performance Liquid Chromatographies Hydrogen Sulfide Hypoxia Ions Metals Mus Nitrogen Pentetic Acid Photolysis Plasma Sulfhydryl Compounds Sulfides Tromethamine Volatilization
3
Genome-Scale Metabolic Flux Analysis
Cited 7 times
A stoichiometric matrix, S (m × n), was constructed for the M. barkeri metabolic network where m is the number of metabolites and n is the number of reactions. The corresponding entry in the stoichiometric matrix, Sij, represents the stoichiometric coefficient for the participation of the ith metabolite in the jth reaction. FBA was then used to solve the linear programming problem under steady-state criteria (Varma and Palsson, 1994 (link); Kauffman et al, 2003 (link); Price et al, 2004 (link)). The linear steady-state problem can be represented by the equation:
where v(n × 1) is a vector of reaction fluxes. Because the linear problem is normally an underdetermined system for genome-scale metabolic models, there exists multiple solutions for v that satisfy equation (1). To find a solution for v, the cellular objective of producing the maximal amount of biomass constituents, represented by the ratio of metabolites in the BOF, is optimized in the linear system. This is achieved by adding an additional column vector to S, Si,BOF, containing the stoichiometric coefficients for the metabolites in the BOF and then subsequently maximizing the reaction flux through the corresponding element in v, vBOF, under the steady-state criteria. Additionally, constraints that are imposed on the system are in the form of:
where αi and βi are the lower and upper limits placed on each reaction flux, vi, respectively. For reversible reactions, −∞⩽vi⩽∞, and for irreversible reactions, 0⩽vi⩽∞.
The constraints on the reactions that allow metabolites entry to the extracellular space were set to 0⩽vi⩽∞ if the metabolite was not present in the medium, meaning that the compounds could leave, but not enter the system. For the metabolites that were in the medium, the constraints were set to −∞⩽vi⩽∞ for all except the limiting substrate and cysteine. When cysteine was a media component, it was allowed only for use as a source of sulfur by restricting hydrogen sulfide from exiting the system. Artificial transhydrogenase cycles in the network (Reed et al, 2006 (link)) were avoided by only allowing the net flux through a set of potential NAD(H)/NADP(H) cycling reactions in one direction. The reaction flux through the BOF was constrained from 0⩽vBOF⩽∞ and the BOF was generated as a linear equation consisting of the molar amounts of metabolic constituents that make up the dry weight content of the cell (Table III) and a GAM (mmol ATP gDW−1) reaction to account for nonmetabolic growth activity,
The full BOF is included in Supplementary information 1.
Aside from the BOF, an NGAM (mmol ATP gDW−1 h−1) value was used as an energy ‘drain' on the system during the linear programming calculations and accounts for nongrowth cellular activities (Pirt, 1965 (link)). The NGAM was represented as a set flux in the reaction flux vector, vNGAM. The corresponding reaction vector in the stoichiometric matrix, Si,NGAM, was in the form of an ATP maintenance reaction identical to equation (3).
Linear programming calculations were performed using the previously mentioned SimPheny™ software platform and the MATLAB®, version 7.0.0.19920 (The MathWorks Inc., Natick, MA) software platform on which the linear programming package LINDO (Lindo Systems Inc., Chicago, IL) was used as a solver.
Feist A.M., Scholten J.C., Palsson B.Ø., Brockman F.J, & Ideker T. (2006). Modeling methanogenesis with a genome-scale metabolic reconstruction of Methanosarcina barkeri. Molecular Systems Biology, 2, 2006.0004.
Publication 2006
Biological Models Cells Cloning Vectors Cysteine Extracellular Space Genome Hydrogen Sulfide Metabolic Networks Molar NADH NADP Sulfur
4
Black Sea Suspended Particulate Matter Characterization
Cited 6 times
Sampling was performed during the Phoxy cruise (June–July 2013) aboard of the R/V Pelagia. The sampling station (PHOX2) was located at 42°53.8′N and 30°40.7′E in the western gyre of the Black Sea. SPM (water volume 148–796 L) was collected on pre‐ashed 142‐mm‐diameter 0.7‐μm pore size glass fiber GF/F filters (Pall Corporation, Washington) mounted on McLane WTS‐LV in situ pumps (McLane Laboratories Inc., Falmouth). In each cast, three pumps were deployed simultaneously at different depths. During a total of five pumping sessions, SPM from 15 different water depths was obtained. Upon the recovery of the in situ pumps on the deck of the ship, the filters were immediately stored at −80°C. Both IPL‐based characterization and DNA‐based characterization were performed on the same filters, allowing a direct comparison of results.
Physical parameters of the water column were recorded by a conductivity–temperature–density (CTD) unit (SBE 911 plus, Sea‐Bird Electronics). Dissolved oxygen (O2) concentrations were measured by a SBE 43 electrochemical sensor mounted on the CTD rosette. The sensor has a detection limit of 1–2 μM, which has been recently proven to overestimate the oxygen level at the lowest concentrations (Tiano et al., 2014). Samples for inorganic nitrogen nutrients (i.e., NO3−, NO2−, and NH4+) and for hydrogen sulfide (HS‐) were obtained with a GoFlow rosette sampler (General Oceanics, Miami) from the same water depths sampled for SPM. The water collected in the CTD bottles was immediately processed on‐board, and the concentrations were determined within 18 hr on a QuAAtro autoanalyzer. Specifically, ca. 5 ml samples were filtered over Acrodisc PF (pre‐filter) Syringe Filter with 0.8/0.2 μm Supor membrane (Pall Corporation) into separate pre‐rinsed pony vials. One vial already containing 40 μl 1N NaOH was used for HS− analysis and one without any addition of NaOH for DIC. Another glass vial was used for NO3−, NO2−, and NH4+ analysis. The detection limits for NO3−, NO2−, and NH4+ were 0.008, 0.006, and 0.044 μM, respectively. The detection limit for HS− was 0.263 μmol/L.
Sollai M., Villanueva L., Hopmans E.C., Reichart G, & Sinninghe Damsté J.S. (2018). A combined lipidomic and 16S rRNA gene amplicon sequencing approach reveals archaeal sources of intact polar lipids in the stratified Black Sea water column. Geobiology, 17(1), 91-109.
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Publication 2018
Aves CD3EAP protein, human Electric Conductivity Hydrogen Sulfide Nitrogen Nutrients Oxygen Physical Examination Syringes Tissue, Membrane
5
Geochemical and Microbial Analyses of Post-Earthquake Deep-Sea Environment
Cited 6 times
The Japan Trench is located on the northwestern margin of the Pacific Plate that is subducting beneath the northeastern Japan Arc (Supplementary Fig. S1). Multi-channel seismic reflection data at the epicentral region were acquired by the R/V Kairei (Japan Agency for Marine-Earth Science and Technology: JAMSTEC) in 1999 (Line MY102 of KR99-08, analyzed in the reference7 ) (Fig. 1). Vertical hydrocasts of the CTD-CMS (Conductivity Temperature Depth profiler with Carousel Multiple Sampling system) were conducted 36 days after the M9.0 event during the MR11-03 cruise of R/V Mirai (JAMSTEC) at the epicentral region (Fig. 1). Stations N1 (38°10.6′N, 143°33.0′E, depth: 3502 m), N2 (38°08.7′N, 143°19.0′E, depth: 2954 m), and N3 (38°06.8′N, 143°05.0′E depth: 1948 m) are located on the western direction of the landward slope of a ridge associated with displacement along an outstanding normal fault that was considered to be the potentially largest slip of the Tohoku Earthquake7 . Station R (38°12.5′N, 143°47.2′E, depth: 5715 m) is above a branch reverse fault (Fig. 1). The stations N2 and R were revisited during the YK11-E04 cruise of R/V Yokosuka (JAMSTEC) with another CTD-CMS. The station JKEO (38°00′N, 146°30′E, depth: 5381 m) is the site of JAMSTEC Kuroshio Extension Observatory located in the abyssal plain of the Pacific plate. The Ocean Drilling Project (ODP) Sites 1150 (39°11′N, 143°20′E) and 1151 (38°45′N, 143°20′E) were the drilled sites during the expedition conducted in 1998 and the pore-water chemistry was already reported31 .
The wired CTD-CMS system of the MR11-03 cruise consisted of a CTD (SBE9 Plus, Sea-Bird Electronics), a CMS (SBE32, Sea-Bird Electronics), 36 Niskin-X bottles (12-liter type, General Oceanics), a dissolved oxygen sensor (RINKO-III, JFE Advantech), and a light transmissometer (C-star 25-cm light-path type, WET Lab). The Light Transmission Anomaly (LTA), calculated from the difference between the in-situ light transmission value (Tr: %) and the value of the transparent layer at intermediate depth for each hydrocast, is used to describe deep-sea water turbidity. The CTD-CMS system of the YK11-E04 cruise consisted of a CTD (SBE11 Plus, Sea-Bird Electronics), a CMS (SBE32, Sea-Bird Electronics), and 12 Niskin-(12-liter type, General Oceanics).
The seawater samples taken by the Niskin bottles were immediately subsampled into several optimized bottles for various geochemical and microbiological analyses10 11 (link)12 . For the analysis of manganese concentration10 , the subsampled seawater in an acid-washed plastic bottle was filtered using a 0.22-µm pore-size PTFE filter and acidified with nitric acid (TAMA Chemical) and analyzed by the luminol-H2O2 chemiluminescence detection method. For the analysis of methane11 (link), sample seawater was subsampled into a 120 ml glass vial capped by a butyl-rubber septum after the addition of 0.5 ml HgCl2-saturated solution for poisoning. The methane concentration and carbon isotope ratio were simultaneously determined with a combination of purge and trap techniques and continuous-flow isotope ratio mass spectrometry. The stable carbon isotope ratio is presented in general delta notation on a permillage scale with respect to the Vienna PDB. For the analysis of molecular hydrogen concentration12 , the subsampling was conducted in a manner similar to that used for methane, except that a Teflon-coated butyl-gum septum was used rather than the untreated butyl-gum septum used for methane. The molecular hydrogen concentration was analyzed onboard using the headspace method with a gas chromatograph equipped with a trace-reduced gas detector (TRD-1: Round Science Inc., Japan)12 within six hours after the subsampling to avoid sample alteration during storage. If a hydrogen sulfide-like smell was detected in a sample, the seawater was subsampled and placed in a Nalgene bottle to quantify the H2S concentration using methylene blue colorimetry.
Microbial cell counts were determined by a DAPI-staining direct count (Supporting Information). For extraction of microbial DNA, a portion (3 L) of deep-sea water was filtered with a 0.22-µm-pore-size cellulose acetate filter (Advantec, Tokyo, Japan) and was preserved onboard at −80°C. DNA was extracted by using the Ultra Clean Mega Soil DNA Isolation kit (MO Bio Laboratory, Solana Beach, CA, USA). Quantitative PCR of archaeal and entire prokaryotic 16S rRNA genes was performed using 7500 Real Time PCR System13 (link)14 (link). Prokaryotic 16S rRNA gene clone analysis was conducted with another PCR experiment15 (link) (also see SI for details). To assess difference in phylogenetic context of the post-earthquake deep-sea microbial communities in the bottommost deep-sea water, an online tool, UniFrac16 (link), was used for the principal coordinates analysis (PCoA).
Kawagucci S., Yoshida Y.T., Noguchi T., Honda M.C., Uchida H., Ishibashi H., Nakagawa F., Tsunogai U., Okamura K., Takaki Y., Nunoura T., Miyazaki J., Hirai M., Lin W., Kitazato H, & Takai K. (2012). Disturbance of deep-sea environments induced by the M9.0 Tohoku Earthquake. Scientific Reports, 2, 270.
Publication 2012
acetylcellulose Acids Archaea Aves butyl rubber Carbon Isotopes Chemiluminescence Clone Cells Colorimetry DAPI Earthquakes Gas Chromatography Genes Hydro-Cast dental tissue conditioner Hydrogen Hydrogen Sulfide isolation Isotopes Light Luminol Manganese Marines Mass Spectrometry Mercuric Chloride Methane Methylene Blue Microbial Community Nitric acid Oxygen Peroxide, Hydrogen Polytetrafluoroethylene Prokaryotic Cells Real-Time Polymerase Chain Reaction Reflex RNA, Ribosomal, 16S Sense of Smell Strains Systems, Heart Conduction Teflon Transmission, Communicable Disease

Most recents protocols related to «Hydrogen Sulfide»

1
Quantifying Greenhouse Gas Emissions from Pig Operations
Gas emission was estimated according
to eq 1, where E is the emission rate (g h–1), M is the molar mass (g mol–1), Cout is the concentration (atm) measured in the
air outlet from the sections, Cin is the
concentration (atm) measured in the air inlet for the sections, Q is the ventilation rate (m3 h–1), R is the gas constant (m3·atm·K–1·mol–1), and T is the temperature (K).
Odor was assessed as
the odorant concentration and estimated as the sum of odor activity
values (SOAV) for hydrogen sulfide and the eight VOCs according to eq 2 in which SOAV is calculated
as the concentration measured by PTR-MS divided by the odor threshold
value (OTV, units of ppbv) for each of the nine odorants.
Odor
emission was estimated according to eq 3, where Eodor is
the emission (SOAV s–1), SOAV is the sum of odor
activity values expressed per m3 (SOAV m–3), and Q is the ventilation rate (m3 h–1).
Enteric
methane emission was calculated on a daily basis according
to eq 4,10 where ECH4 enteric (g
pig–1 d–1) is the enteric methane
emission, GE is the gross energy consumption (MJ d–1 pig–1), Ym is the
fraction of gross energy intake being converted to methane (%), n is the number of pigs in the section, and 0.005565 is
the energy content of methane (MJ g–1).
Ym was set to 0.24% based on an average
of four studies.19 (link)−22 (link) Slurry methane emission was estimated by subtracting enteric methane
emission from eq 4 from
the measured total methane emission.
Enteric carbon dioxide
emission, ECO2 enteric (g pig–1 d–1), was calculated
using the empirical relationship in eq 5,23 (link) where BW is the pig
body weight (kg). The constants in eq 5 were derived from fitting to multiple datasets.23 (link)
The average daily body
weight of pigs was calculated by linear
interpolation between in and outgoing weights of the pigs. Linear
growth is a realistic assumption for pigs that are between 100 and
200 days old (as in this study).24 (link)
Dalby F.R., Hansen M.J., Guldberg L.B., Hafner S.D, & Feilberg A. (2023). Simple Management Changes Drastically Reduce Pig House Methane Emission in Combined Experimental and Modeling Study. Environmental Science & Technology, 57(9), 3990-4002.
Publication 2023
Body Weight Carbon Hydrogen Sulfide Methane Molar Odorants Odors Pigs Respiratory Rate
2
Monitoring Gaseous Emissions from Pig Facilities
Heated and insulated sample tubes
of PTFE (outer diameter: 8 mm, inner diameter: 6 mm, Mikrolab A/S,
Aarhus Denmark) for the venting outlet in each section and the common
fresh air supply were flushed continuously (ca. 5 L min–1) by a pump with a PTFE membrane (Capex L2, Charles Austen Pumps Ltd.,
Byfleet, UK) placed in an insulated room next to the sections. The
concentrations of methane, carbon dioxide, and ammonia was measured
by cavity-ring down spectroscopy (CRDS) using G2201-i, G4301, and
G2103 analyzer models (Picarro Inc., Santa Clara, CA, USA). The VOCs
and hydrogen sulfide were measured by proton-transfer reaction mass
spectrometry (HS-PTR-MS, Ionicon Analytik, Innsbruck, Austria) during
periods 1 and 4. The CRDS analyzers were connected to the outlet from
the Teflon pump using a 10-way PEEK valve (VICI, Houston, TX, USA)
and PTR-MS with a five-way PEEK valve (Bio-Chem Valve Incorporated,
Boonton, NJ). Measurements were performed in a continuous cycle with
two measurements per hour for each outlet for methane, carbon dioxide,
and ammonia and one measurement per hour for VOCs and hydrogen sulfide.
The VOCs measured were methanethiol, trimethylamine, acetic acid,
propanoic acid, butanoic acid, pentanoic acid, 4-methylphenol, and
skatole. These VOCs together with hydrogen sulfide were chosen as
they are found in high concentrations in air from pig sections and/or
have low odor threshold values.15 (link)−17 (link) The PTR-MS was operated with
standard drift tube conditions: a voltage of 600 V, a pressure between
2.1 and 2.2 mbar, and a temperature of 75 °C. The inlet temperature
was 75 °C. The rate constants used were based on previously reported
values,15 (link),18 (link) and the hydrogen sulfide concentration was
corrected for humidity dependence.15 (link)Temperature, relative humidity, airflow rate in each section, and
the temperature outside were recorded every minute by a log system
(VengSystem A/S, Roslev, Denmark). Calibrated measuring fans were
used to estimate the airflow rate (Reventa, Horstmar, Germany). In-house
air temperature was measured 1.7 m above the floor over the pen partitioning
and ca. 1/3 from the back end of the section using a calibrated temperature
sensor of the ventilation control. Slurry temperature (PT100, Campell
Scientific, Logan, UT, USA) was measured in sections C and WF in the
bottom of the slurry pits.
Dalby F.R., Hansen M.J., Guldberg L.B., Hafner S.D, & Feilberg A. (2023). Simple Management Changes Drastically Reduce Pig House Methane Emission in Combined Experimental and Modeling Study. Environmental Science & Technology, 57(9), 3990-4002.
Publication 2023
Acetic Acid Ammonia Butyric Acid Capex Carbon dioxide Dental Caries Humidity Hydrogen Sulfide Methane methylmercaptan Odors para-cresol polyetheretherketone Polytetrafluoroethylene Pressure propionic acid Protons Spectrum Analysis Teflon Tissue, Membrane trimethylamine valeric acid Van der Woude syndrome
3
Respiratory Sampling System for Diabetes Detection
Cited 1 time
In recent years, the electronic nose system developed in the laboratory has been widely used in the agricultural field (17 (link), 18 (link)). Based on these studies, the respiratory sample collection system in this paper was developed for diabetes detection, as shown in Fig. 1.

Physical view of electronic nose system.

The system consists of 32 commercial gas sensors and their target gases are shown in Table 1. The main component sensor of the electronic nose uses a metal oxide semiconductor sensor. Due to the diversity of respiratory gas composition in diabetic patients, such as ethanol (19 (link)), carbon monoxide (20 (link)), alkanes (21 (link)), and methyl nitrate (22 (link)), sensors of different measurement ranges and different companies are used. These different sensors can form a complementary array that can help identify the disease being studied. By calculating the cost of purchasing the corresponding equipment, we can see that the total cost is about $674. The volume is about 7728 cubic centimeters. Before using the detection device, put the electronic nose device into the fume hood first and allow the sensor to warm up for 30 min. Then, the gas to be measured was fed into the bionic chamber attached with a sensor through an air pump with a flow rate of 1.2 L/min. When the gas entered the chamber, the data were sampled immediately, and the collection time was 1 min. When one set of gas collection is completed, the air pump draws fresh air to clean the residual gas in the chamber for 3–5 min to restore the sensor to the baseline level before the next set of sampling.

Summary of the sensor array.

NumberThe gas sensorThe response characteristics
S1TGS2612Butane, methane, propane.
S2TGS2611Methane, natural gas
S3TGS2620Vapors of organic solvents, ethanol
S4TGS2603Gaseous air contaminants, trimethylamine, methyl thiol, etc.
S5TGS2602Gaseous air contaminants, VOCs, ammonia, hydrogen sulfide, etc.
S6TGS2610Propane, butane
S7TGS2600Gaseous air contaminants, hydrogen, alcohol, etc
S8GSBT11Formaldehyde, oluene, butyric acid, butane, hydrocarbons
S9MS1100Formaldehyde, toluene, xylene
S10MP135Hydrogen, alcohol, carbonic oxide
S11MP901Alcohol, smoke, formaldehyde, toluene, acetone, benzene
S12MP-9Carbonic oxide, methane
S13MP-3BAlcohol
S14MP-4Methane, natural gas, biogas
S15MP-5Liquefied petroleum gas
S16MP-2Propane, smoke
S17MP503Alcohol, smoke
S18MP801Benzene, toluene, formaldehyde, alcohol, smoke
S19MP905Benzene, toluene, formaldehyde, alcohol, smoke
S20MP402Methane, natural gas, biogas
S21WSP1110Nitrogen dioxide
S22WSP2110Toluene, benzene, formaldehyde, alcohol, etc.
S23WSP7110Sulfuretted hydrogen
S24MP-7Carbonic oxide
S25TGS2612Butane, methane, propane
S26TGS2611Methane, natural gas
S27TGS2620Vapors of organic solvents, combustible gases, methane, carbon monoxide, isobutane, hydrogen, ethanol
S28MP-3BAlcohol
S29MP702Ammonia gas
S30TGS2610Propane, butane
S31TGS2600Gaseous air contaminants, methane, carbon monoxide, isobutane, ethanol, hydrogen
S32TGS2618-COOButane, LP gas

Manufacturers: S1–S7, S25–S27, S30–S32 Figaro Engineering Inc, Minoh, Japan; S8 Orgam Technologies, Gwangju, Korea; S9–S24, S28–S29, Winsen Electronics Technology, Zhengzhou, China.

Weng X., Li G., Liu Z., Liu R., Liu Z., Wang S., Zhao S., Ma X, & Chang Z. (2023). A preliminary screening system for diabetes based on in-car electronic nose. Endocrine Connections, 12(3), e220437.
Publication 2023
Acetone Alkanes Ammonia Benzene butane Butyric Acid Carbon Cuboid Bone Diabetes Mellitus Ethanol Formaldehyde Gases Hydrogen Hydrogen Sulfide Isobutane Medical Devices Metals Methane methylmercaptan methyl nitrate Monoxide, Carbon Oxides Patients Petroleum Propane Respiratory Rate Respiratory System Smoke Solvents Specimen Collection Toluene trimethylamine
4
Salmonella Isolation and Identification Protocol
The techniques used to isolate and identify Salmonella were recommended by the International Organization for Standardization (ISO-6579, 2002) and the World Health Organization [27 ]. Global foodborne infections network (formerly WHO global Salmonella Surveillance) [27 ]. In a nonselective liquid medium (buffered peptone water (BPW) (Oxoid CM509, Basingstoke, England), a 10 ml milk sample was mixed with 90 ml of pre-enrichment, and the sample mixture was thoroughly shaken before being incubated at 37°C for 24 hours. Following incubation, the culture was mixed, and a portion (0.1 ml) was transferred to a tube containing 10 ml of selective enrichment liquid medium (Rappaport Vassiliadis (RV)) broth and incubated at 41.5°C for 24 hours. A 10 µl of loop full inoculum from selective enrichment media was streaked onto Xylose Lysine Deoxycholate (XLD) (Oxoid CM0469, Basingstoke, England) agar and Salmonella Shigella (SS) agar plates prepared on petri-dishes and incubated at 37 ± 1°C for 24 ± 3 hours. After proper incubation, the plates were examined for the presence of typical Salmonella colonies. The typical colonies of Salmonella grown on Xylose Lysine Deoxycholate agar medium produce black centers with distinct red colonies due to the color change of phenol red in medium and colorless transparent colonies on Salmonella Shigella agar. The presumptive Salmonella colonies on the XLD (Oxoid CM0469, Basingstoke, England) and SS agar medium were transferred onto the surface of predried nutrient agar plates in a manner that allow isolated colonies to develop and incubated at 37°C for 24 hours in further confirmation with biochemical tests. Thus, all suspected Salmonella colonies were picked from the nutrient agar and inoculated into the biochemical test including Triple Sugar Iron (TSI) agar (Oxoid CM0277, Basingstoke, England) for the TSI test, Simmons's Citrate agar (Oxoid CM53, Basingstoke, England) for the citrate utilization test, Tryptone Soya Broth (Becton Dickinson, USA) for the indole test and Methyl red-Voges Proskauer (MR-VP) (Micromaster Thane, India) for methyl red and Voges Proskauer test and incubated for 24 or 48 hours at 37°C. Colonies producing an alkaline (red) slant, with acid (yellow) but on TSI with blackening or hydrogen sulfide production, negative for Tryptophan utilization on indole test (yellow-brown ring), positive for Methyl red (produce red color on the surface of medium), negative for Voges–Proskauer (yellow color), and positive for Citrate utilization (deep blue slant) were consider to be Salmonella positive [28 (link), 29 ].
Asefa I., Legabo E., Wolde T, & Fesseha H. (2023). Study on Salmonella Isolates from Fresh Milk of Dairy Cows in Selected Districts of Wolaita Zone, Southern Ethiopia. International Journal of Microbiology, 2023, 6837797.
Full text: Click here
Publication 2023
Acids Agar Citrates Deoxycholate Hydrogen Sulfide Hyperostosis, Diffuse Idiopathic Skeletal indole Infection Iron Iron Sucrose Lysine Milk, Cow's Nutrients Peptones Rappaport Salmonella Shigella Soybeans Sugars Tryptophan Xylose
5
Synthesis and Characterization of Nitric Oxide and Hydrogen Sulfide Donors
Isophthalaldehyde (97%, Sigma-Aldrich, Spain), 2,4,6-triaminopyrimidine (97%, Sigma-Aldrich, Spain), sodium sulfide nonahydrate (≥99.99%, Sigma-Aldrich, Spain ), sodium dithionite (≥82%, RT, Sigma-Aldrich, Spain ), DTNB [5,5′-dithiobis(2-nitrobenzoic acid), >98%, TCI, Belgium], Teflon particle size 35 μm (Sigma-Aldrich, Spain), and hemoglobin human lyophilized powder (Sigma-Aldrich, Spain) as reagents, as well as dimethyl sulfoxide (DMSO, Honeywell Reagents, Germany), acetone (Honeywell Reagents, Germany), tetrahydrofuran (THF, Honeywell Reagents, Germany), and dichloromethane (Honeywell Reagents, Germany) as solvents, were used without further purification. Nitric oxide gas (99.99%) and hydrogen sulfide (99.5%) gases were purchased from Air Liquide, Portugal.
Carvalho S., Pires J., Moiteiro C, & Pinto M.L. (2023). Evaluation of an Imine-Linked Polymer Organic Framework for Storage and Release of H2S and NO. Materials, 16(4), 1655.
Full text: Click here
Publication 2023
Acetone Dithionitrobenzoic Acid Gases Hemoglobin Homo sapiens Hydrogen Sulfide Methylene Chloride Nitrobenzoic Acids Oxide, Nitric Powder Sodium Dithionite sodium sulfide nonahydrate Solvents Sulfoxide, Dimethyl Teflon tetrahydrofuran

Top products related to «Hydrogen Sulfide»

1
Macconkey agar by Thermo Fisher Scientific
Sourced in United Kingdom, United States, Germany, Italy, India, Canada, Poland, France, Australia, Spain, Belgium
MacConkey agar is a selective and differential culture medium used for the isolation and identification of Gram-negative enteric bacteria, particularly members of the Enterobacteriaceae family. It inhibits the growth of Gram-positive bacteria while allowing the growth of Gram-negative bacteria.
2
Sodium hydrogen sulfide by Merck Group
Sourced in United States
Sodium hydrogen sulfide is a chemical compound with the formula NaHS. It is a white crystalline solid that is used as a reducing agent and a source of sulfide ions in various industrial and laboratory applications.
3
Api 20e by bioMérieux
Sourced in France, United States, United Kingdom, Germany, Japan, Macao, Denmark, Italy
The API 20E is a standardized identification system for Enterobacteriaceae and other non-fastidious Gram-negative rods. It consists of 20 miniaturized biochemical tests, which allow the identification of the most frequently encountered members of the Enterobacteriaceae family as well as certain other Gram-negative bacteria.
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Sodium hydrogen sulfide nahs by Merck Group
Sourced in United States
Sodium hydrogen sulfide (NaHS) is a chemical compound used in various laboratory applications. It is a source of hydrogen sulfide (H2S), which can be used for various experimental and analytical purposes. The compound is a white, crystalline solid that is soluble in water and other polar solvents.
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Passive lysis buffer (plb) by Promega
Sourced in United States, Germany, United Kingdom, France, Japan, China, Switzerland, Italy, Canada
Passive lysis buffer is a solution used for the gentle lysis of cells to extract proteins or other biomolecules. It facilitates the release of cellular contents without denaturing the target analytes.
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Gapdh by Proteintech
Sourced in United States, China, United Kingdom, Germany, Canada, Israel, Japan
GAPDH is a protein-coding gene that produces the glyceraldehyde-3-phosphate dehydrogenase enzyme. This enzyme is involved in the glycolysis pathway, catalyzing the conversion of glyceraldehyde-3-phosphate to 1,3-bisphosphoglycerate.
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Macconkey agar by Merck Group
Sourced in Germany, United States, United Kingdom, India, Saudi Arabia
MacConkey agar is a selective and differential culture medium used for the isolation and identification of Gram-negative enteric bacteria, particularly members of the Enterobacteriaceae family. It inhibits the growth of Gram-positive bacteria while allowing the growth of Gram-negative bacteria. The medium contains bile salts and crystal violet, which inhibit Gram-positive bacteria, and lactose, which allows for the differentiation of lactose-fermenting and non-lactose-fermenting organisms.
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Macconkey agar by HiMedia
Sourced in India, United States, France
MacConkey agar is a selective and differential culture medium used for the isolation and identification of Gram-negative bacteria, particularly members of the Enterobacteriaceae family. It inhibits the growth of Gram-positive bacteria and allows the differentiation of lactose-fermenting and non-lactose-fermenting organisms.
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Bcl 2 by Proteintech
Sourced in United States, China, United Kingdom, Germany
Bcl-2 is a protein that plays a key role in regulating the intrinsic apoptotic pathway. It functions as an anti-apoptotic protein, preventing the release of cytochrome c from the mitochondria and inhibiting the activation of caspases, thereby promoting cell survival.
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Ly294002 by Merck Group
Sourced in United States, Germany, United Kingdom, China, Sao Tome and Principe, Macao, Italy, Canada, Switzerland, Japan, France, Israel, Spain, Morocco
LY294002 is a chemical compound that functions as a specific inhibitor of phosphoinositide 3-kinase (PI3K). It is commonly used in laboratory research settings to investigate the role of PI3K signaling pathways.

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