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Diazinon

Diazinon is an organophosphate insecticide used to control a variety of pests, including insects and mites.
It is commonly used in agriculture, horticulture, and residential settings.
Diazinon works by inhibiting the enzyme acetylcholinesterase, which is essential for the proper functioning of the nervous system in insects and other organisms.
This can lead to overstimulation of the nervous system and ultimately, death of the target pest.
Exposure to diazinon can also be harmful to humans and other non-target species, so its use must be carefully managed and regulated.
Researchers can use PubCompare.ai's AI-driven platform to effortlessly locate the most reproducible and accurate protocols for working with diazinon, from published literature, pre-prints, and patents.
This can help identify the best procedures and products for their research needs, while ensureing the safety and efficacy of their experiments.

Most cited protocols related to «Diazinon»

PC12 Cell Culture and Differentiation

Cited 26 times

Because of the clonal instability of the PC12 cell line (Fujita et al. 1989 (link)), the experiments were performed on cells that had undergone fewer than five passages, and all studies were repeated several times with different batches of cells. As described previously (Crumpton et al. 2000a (link); Qiao et al. 2003 (link); Song et al. 1998 (link)), PC12 cells (1721-CRL; American Type Culture Collection, Manassas, VA) were seeded onto 100-mm poly-d-lysine-coated plates in RPMI-1640 medium (Invitrogen, Carlsbad, CA) supplemented with 10% inactivated horse serum (Sigma Chemical Co., St. Louis, MO), 5% fetal bovine serum (Sigma Chemical Co.), and 50 μg/mL penicillin streptomycin (Invitrogen). Cells were incubated with 7.5% CO₂ at 37°C, and the medium was changed every 2 days. For studies in the undifferentiated state, cells were seeded at varying densities so that, regardless of the total time of incubation, the cells would reach a final confluence of 60–70%. Twenty-four hours after seeding, the medium was changed to include the various test substances: chlorpyrifos (Chem Service, West Chester, PA), diazinon (Chem Service), parathion (Chem Service), physostigmine (Sigma Chemical Co.), dieldrin (Chem Service), or NiCl₂ (Sigma Chemical Co.). Because of their poor water solubility, the pesticides were dissolved in dimethyl sulfoxide (Sigma Chemical Co.), achieving a final concentration of 0.1% in the culture medium; accordingly, all cultures included this vehicle, which had no effect on the PC12 cells (Qiao et al. 2001 (link), 2003 (link); Song et al. 1998 (link)).
For studies in differentiating cells, 3 × 106 cells were seeded; 24 hr later, the medium was changed to include 50 ng/mL 2.5 S murine NGF (Invitrogen), and each culture was examined under a microscope to verify the subsequent outgrowth of neurites. The test agents were added concurrently with the start of NGF treatment.

Slotkin T.A., MacKillop E.A., Ryde I.T., Tate C.A, & Seidler F.J. (2006). Screening for Developmental Neurotoxicity Using PC12 Cells: Comparisons of Organophosphates with a Carbamate, an Organochlorine, and Divalent Nickel. Environmental Health Perspectives, 115(1), 93-101.

Publication 2006

Cell Lines Cells Chlorpyrifos Clone Cells Diazinon Dieldrin Equus caballus Fetal Bovine Serum Lysine Microscopy Mus Neuronal Outgrowth Parathion PC12 Cells Penicillins Pesticides Physostigmine Poly A Serum Somatostatin-Secreting Cells Streptomycin Sulfoxide, Dimethyl

Developmental Neurotoxicity of Organophosphates

Cited 18 times

All experiments were carried out humanely and with regard for alleviation of suffering, with protocols approved by the Institutional Animal Care and Use Committee and in accordance with all federal and state guidelines. Timed-pregnant Sprague-Dawley rats (Charles River, Raleigh, NC) were housed in breeding cages, with a 12-hr light/dark cycle and free access to food and water. On the day of birth, all pups were randomized and redistributed to the dams with a litter size of 9–10 to maintain a standard nutritional status. Because of their poor water solubility, diazinon and parathion (both from Chem Service, West Chester, PA) were dissolved in dimethylsulfoxide (DMSO) to provide consistent absorption (Whitney et al. 1995 (link)) and were injected subcutaneously in a volume of 1 mL/kg once daily on postnatal days (PND)1–4; control animals received equivalent injections of DMSO vehicle, which does not itself produce developmental neurotoxicity (Song et al. 1998 (link); Whitney et al. 1995 (link)). Doses were chosen to lie below the threshold for signs of systemic toxicity as evidenced by impaired viability or reduced weight gain (Slotkin et al. 2006 (link)): 0.5, 1, and 2 mg/kg for diazinon, and 0.02, 0.05, and 0.1 mg/kg of parathion. The highest dose of each agent represents the maximum tolerated dose (Slotkin et al. 2006 (link)). On PND5, one male and one female pup were selected from each of at least six litters in each treatment group and were used for neurochemical evaluations. Animals were decapitated, the cerebellum was removed, and the brainstem and forebrain were separated by a cut made rostral to the thalamus. Tissues were weighed and flash frozen in liquid nitrogen and maintained at −45°C until analyzed. For a supplemental study determining the degree of cholinesterase inhibition immediately after treatment, additional animals were used to obtain samples 2 hr after the last injection of 2 mg/kg of diazinon or vehicle on PND4.

Slotkin T.A., Tate C.A., Ryde I.T., Levin E.D, & Seidler F.J. (2006). Organophosphate Insecticides Target the Serotonergic System in Developing Rat Brain Regions: Disparate Effects of Diazinon and Parathion at Doses Spanning the Threshold for Cholinesterase Inhibition. Environmental Health Perspectives, 114(10), 1542-1546.

Publication 2006

Animals Birth Brain Stem Cerebellum Cholinesterases Diazinon Females Food Freezing Institutional Animal Care and Use Committees Males Neurotoxicity Syndromes Nitrogen Parathion Patient Holding Stretchers Prosencephalon Psychological Inhibition Rats, Sprague-Dawley Rivers Sulfoxide, Dimethyl Thalamus Tissues

Developmental Neurotoxicity Evaluation of Organophosphates

Cited 18 times

All experiments were carried out in accordance with the Guide for the Care and Use of Laboratory Animals (Institute of Laboratory Animal Resources 1996 ) as adopted and promulgated by the National Institutes of Health. Timed-pregnant Sprague-Dawley rats (Charles River, Raleigh, NC) were housed in breeding cages, with a 12-hr light/dark cycle and free access to food and water. On the day of birth, all pups were randomized and redistributed to the dams with a litter size of 9–10 to maintain a standard nutritional status; for treatment groups with high pup mortality rates (not used for neuro-chemical analyses), litter sizes were maintained in this range by combining groups of survivors. Chlorpyrifos, diazinon, and parathion (all from Chem Service, West Chester, PA) were dissolved in DMSO to provide consistent absorption (Whitney et al. 1995 (link)) and were injected subcutaneously in a volume of 1 mL/kg once daily on postnatal days (PND) 1–4; control animals received equivalent injections of the DMSO vehicle. For chlorpyrifos, we used daily doses of 1 mg/kg and 5 mg/kg, straddling the threshold for growth retardation and systemic toxicity (Campbell et al. 1997 (link); Whitney et al. 1995 (link)). The lower dose produces neurotoxicity in developing rat brain with only 20% cholinesterase inhibition (Slotkin 1999 (link), 2004 (link); Song et al. 1997 (link); Whitney et al. 1995 (link)), well below the 70% threshold necessary for symptoms of cholinergic hyperstimulation (Clegg and van Gemert 1999 ). This treatment thus resembles the nonsymptomatic exposures reported in pregnant women (De Peyster et al. 1993 (link)) and is within the range of expected fetal and childhood exposures after routine home application or in agricultural communities (Gurunathan et al. 1998 (link); Ostrea et al. 2002 (link)). For diazinon and parathion, prior information on systemic toxicity using this vehicle and route was not available, so we evaluated a wider range of doses: 0.05–5 mg/kg for diazinon and 0.01–5 mg/kg for parathion. As shown in “Results,” just as for chlorpyrifos, the diazinon and parathion doses ranged from those with no discernible effect on growth or viability to those lying above the threshold for overt toxicity.
On PND5, one male and one female pup were selected from each of six litters in each treatment group and were used for neuro-chemical evaluations. Animals were decapitated, the cerebellum was removed, and the brainstem and forebrain were separated by a cut made rostral to the thalamus. Tissues were weighed, flash-frozen in liquid nitrogen, and maintained at −45°C until analysis.

Slotkin T.A., Levin E.D, & Seidler F.J. (2006). Comparative Developmental Neurotoxicity of Organophosphate Insecticides: Effects on Brain Development Are Separable from Systemic Toxicity. Environmental Health Perspectives, 114(5), 746-751.

Publication 2006

Animals Animals, Laboratory Birth Brain Brain Stem Care, Prenatal Cerebellum Chlorpyrifos Cholinergic Agents Cholinesterases Diazinon Females Food Freezing Males Neurotoxicity Syndromes Nitrogen Ostrea Parathion Patient Holding Stretchers Pregnant Women Prosencephalon Psychological Inhibition Rats, Sprague-Dawley Rivers Sulfoxide, Dimethyl Survivors Thalamus Tissues

Probabilistic Evaluation of Pesticide Impact Metrics

Cited 6 times

The ratings of 1, 3, and 5 in the EIQ method are surrogates for low, medium, and high risk or impact or toxicity or persistence, depending on the factor of interest. For demonstration purposes only, we show how converting the ratings to estimates of risk probabilities for only four of the factors limits the value of the EIQ method. The EIQ factors, “long-term health effects”, “leaching potential”, and “surface runoff potential”, and ratings of “little-none”, “possible”, “definite”, “small”, “medium”, and “large” imply that they are risks. Therefore, they have a probability of occurrence rather than an absolute certainty of occurring. Similarly, the factor “beneficial arthropod toxicity” has ratings of “low impact”, “moderate impact”, and “severe impact”. Degrees of impact also have associated uncertainty.
Because the ratings of 1, 3, and 5 are surrogates for risk, they can be converted to risk intervals that incorporate the underlying probabilities. Therefore, the simplest, yet coarse, way to do this is to assume the ratings of 1, 3, and 5 span the range of risk from 0 to 1 (or 0 to 100%). A rating of 1, when mapped onto an interval of risks would be 0 to 0.32. A score of 3 would be 0.33 to 0.66 and a score of 5 would be 0.67 to 1. Consequently, if a pesticide has a “surface runoff potential” factor that has a score of 3, it is at medium risk of runoff. However, a discrete score of 3 does not capture the probabilistic nature of risk, yet the score of 3 is intended to represent medium risk. Therefore, the score needs to be mapped to an estimate of risk. This can be done most simply by assuming a uniform probability density function of risk values from 0.32 to 0.66 for medium risk. Medium risk implies uncertainty and probability, but a score of 3 does not accommodate that risk estimate. An interval of 0.33 to 0.66, however crudely, accommodates the probability of occurrence.
To demonstrate the consequences of mapping discrete risk ratings to probabilities, we calculated adjusted EIQs for a group of 20 actual insecticide active ingredients with unadjusted EIQs ranging from 22.1 (methiocarb) to 44 (diazinon). The insecticides evaluated were chosen randomly from lists of active ingredients in Yu (2008) , who provides a relatively complete list of currently registered insecticides. Five insecticides each were chosen randomly from four chemical classes: carbamates, neonicotinoids, organophosphates, and pyrethroids. The unadjusted EIQs and ratings were obtained from the New York State Integrated Pest Management Program, Cornell University (www.nysipm.cornell.edu/publications/eiq/). The four factors discussed above were converted to probability ranges of risk and all other factors were held constant at their respective deterministic scores. To align those deterministic scores with the probability ranges mapped for the four factors, the ratings were converted to static probabilities proportional to the value of the scores. For example, a score of 3 for fish toxicity was converted to 0.5.
Using Monte Carlo simulation (Oracle Crystal Ball^® 11.2, Denver, CO), we calculated adjusted EIQs under different hypothetical scenarios by incorporating the probability ranges associated with the four factors (Fig. 1). Probabilities of occurrence of adjusted EIQ values were determined by incorporating sampling from the statistical probability density function of each input variable used to calculate the EIQ. Each of the four input variables was sampled 20,000 times. Then, the variability for each input was propagated into the output of the model so that the output reflected the probability of values that could occur.

Peterson R.K, & Schleier JJ I.I.I. (2014). A probabilistic analysis reveals fundamental limitations with the environmental impact quotient and similar systems for rating pesticide risks. PeerJ, 2, e364.

Publication 2014

ARID1A protein, human Arthropod Venoms Carbamates Diazinon Fish Venoms Insecticides Longterm Effects Methiocarb Neonicotinoids Organophosphates Pesticides Pyrethroids

Prenatal Pesticide Exposure Estimation

Cited 5 times

We estimated agricultural pesticide use near each woman’s residence during pregnancy using California PUR data from 1999–2001 (CDPR 2015 ). We selected potentially neurotoxic pesticides with agricultural use in our study area (Monterey County, CA) during the prenatal period, including fifteen OPs and six carbamates (see Table S1), two manganese (Mn)-based fungicides (maneb and mancozeb), eight pyrethroids (permethrin, cypermethrin, tau-fluvalinate, cyfluthrin, fenpropathrin, lambda-cyhalothrin, bifenthrin, and esfenvalerate), and one neonicotinoid (imidacloprid). The PUR data include the amount (in kilograms) of active ingredient applied, the application date, and the location, defined as a 1-mi² section (

1.6 km \times 1.6 km

) defined by the Public Land Survey System (PLSS). We edited the PUR data to correct for likely outliers that had unusually high application rates by replacing the amount of pesticide applied based on the median application rate for that pesticide and crop combination (Gunier et al. 2001 (link)). For each woman, we estimated the amount of all pesticides in each pesticide class used within a 1-km radius of the pregnant woman’s residence using the latitude and longitude coordinates and a geographic information system. In all cases, the 1-km buffer around the home included more than one PLSS section; thus, we weighted the amount of pesticide applied in each section by the proportion of land area that was included in the buffer. We selected a 1-km buffer distance for this analysis because it best captures the spatial scale most strongly correlated with measured agricultural pesticide concentrations in house-dust samples (Harnly et al. 2009 (link); Gunier et al. 2011 (link)). Detailed descriptions of the equations and methods that we used to calculate nearby pesticide use have been published previously (Gunier et al. 2011 (link)). We estimated pesticide use within 1 km of the maternal residence during each trimester of pregnancy for participants with residential location information available for two or more trimesters (

n = 283

) and computed the average pesticide use during pregnancy by summing the trimester-specific values and dividing by the number of trimesters included. We also created individual variables for nearby use of each of the five individual OP pesticides (acephate, chlorpyrifos, diazinon, malathion, and oxydemeton-methyl) with the highest use in our study area during the prenatal period (Table S1).

Gunier R.B., Bradman A., Harley K.G., Kogut K, & Eskenazi B. (2017). Prenatal Residential Proximity to Agricultural Pesticide Use and IQ in 7-Year-Old Children. Environmental Health Perspectives, 125(5), 057002.

Publication 2017

acephate bifenthrin Buffers Carbamates Chlorpyrifos Chondrodysplasia Punctata, Rhizomelic Crop, Avian cyfluthrin cypermethrin Diazinon fenpropathrin fluvalinate House Dust imidacloprid Industrial Fungicides lambda-cyhalothrin Malathion mancozeb Maneb Manganese Neonicotinoids Neurotoxicity Syndromes oxydemeton-methyl Permethrin Pesticides Pregnancy Pregnant Women pydrin, (S-(R*,R*))-isomer Pyrethroids Radius Woman

Most recents protocols related to «Diazinon»

Adsorption Kinetics and Isotherms for Diazinon

Isotherm models were tested and applied for the diazinon adsorption mechanism, and the Langmuir isotherm (eqn (9)) and Freundlich isotherm (eqn (11)) are expressed as follows:²⁷ where b (L mg⁻¹) and q_m (mg g⁻¹) represent the Langmuir constant and maximum adsorption capacity, respectively. Dimensionless separation constant (R_L) was evaluated to explain the nature of DZ adsorption, whether it is irreversible (R_L = 0), favorable (0 < R_L < 1), or unfavorable (R_L > 1). n and K_F belong to Freundlich coefficients that express the intensity of adsorption and the adsorption capacity (L^1/n mg^1−1/n g⁻¹), respectively.
The linear Temkin form (eqn (12)) and Dubinin–Radushkevich (eqn (15)) isotherm models are represented as follows:²⁸ where A, T, and R constants are the adsorption heat, absolute temperature in Kelvin, and gas adsorption constant (8.314 J mol⁻¹ K⁻¹), respectively. b_T (J mol⁻¹) and K_T (L g⁻¹) are related to the Temkin constants. q_DR (mg g⁻¹), ε and K_DR (mol² kJ⁻²) represent the maximum adsorption capacity, Polanyi potential, and constant of Dubinin–Radushkevich, respectively. E_DR is the mean free energy of adsorption (kJ mol⁻¹).

Hassan A.F., Alshandoudi L.M, & Shaltout W.A. (2023). Utilizing modified cellulose nanoparticles derived from a plant loofah sponge to improve the removal of diazinon insecticide from an aqueous medium. RSC Advances, 13(11), 7280-7292.

Publication 2023

Adsorption Diazinon

Loofah-based Heavy Metal Removal

Loofah was obtained from a farm in Damanhour, Egypt, cut into very small pieces, washed repeatedly with distilled water to remove attached dust and impurities, dried at 100 °C, and ground into fine powder. Diazinon insecticide was obtained from Sigma-Aldrich. Hexahydrate ferric chloride was obtained from Oxford Lab Fine Chem Llp Co., India, while potassium chloride, sodium hypochlorite, ethanol, sodium hydroxide, hydrochloric acid, propanol, and pentanol were obtained from El-Nasr for Pharmaceutical and Chemical Industry Co., Egypt.

Publication 2023

1-Propanol Diazinon Ethanol ferric chloride Hydrochloric acid Insecticides Luffa Pharmaceutical Preparations Potassium Chloride Powder Sodium Hydroxide Sodium Hypochlorite

Desorption and Reuse of Diazinon-Loaded Functionalized Carbon Nanotubes

The desorption of DZ was discussed by adding 0.5 g of the dried DZ preloaded FCN in 100 mL distilled water, ethanol, propanol, or pentanol, and then agitating for 15 h at 30 °C. The desorbed concentration of DZ was measured after filtration. The desorption efficiency% (D.E%) was calculated using the following equation:^{29 (link)} where C_d is the equilibrium concentration (mg L⁻¹) of DZ after desorption from the FCN. V (L) is the volume of the eluent. q is the maximum FCN adsorption capacity (mg g⁻¹). m (g) is the mass of the adsorbent.
The reusability of the FCN was accomplished after five cycles of the diazinon adsorption/desorption processes. DZ adsorption was accomplished by FCN under 600 mg L⁻¹ of DZ concentration, 1.0 g L⁻¹ of adsorbent dosage, pH 7, at 30 °C, and 20 h as shaking time. After each cycle, the FCN was filtered and repeatedly washed with 25 mL of pentanol to desorb the adsorbed DZ, washed with deionized water, and finally dried at 85 °C for further reuse.

Publication 2023

1-Propanol Adsorption Diazinon Ethanol Filtration

Diazinon Adsorption Kinetics Modeling

Mechanism and rate of diazinon adsorption onto the prepared samples were investigated by pseudo-first order (PFO, eqn (4)), pseudo-second order (PSO, eqn (6)), Elovich (eqn (7)), and intra-particle diffusion (eqn (8)) kinetic models:²⁶ where q_t and q_e are the adsorbed amounts of diazinon (mg g⁻¹) at time (t, h) and equilibrium, respectively. k₁ (h⁻¹), k₂ (g mg⁻¹ h⁻¹), and C_t (mg L⁻¹) are the rate constants of the PFO and PSO models, and the residual DZ concentration at time (t, h), respectively. β (g mg⁻¹) and ∝ (mg g⁻¹ h⁻¹) are related to the extent of surface coverage and the initial rate of DZ adsorption, respectively. The C value denotes the boundary layer thickness. k₀ is the intra-particle diffusion rate constant (mg g⁻¹ h^−1/2).

Publication 2023

Adsorption Diazinon Diffusion Kinetics

Diazinon Adsorption by Carbon Nanomaterials

The diazinon adsorption from the aqueous solution by CN and FCN was studied by shaking 50 mL of DZ solution possessing a certain concentration with 0.05 g of solid adsorbent for 20 h at 20 °C and pH 7 value. The unadsorbed DZ concentration (C_e) was measured at a wavelength of 281 nm by applying a UV-vis spectrophotometer with error values of ±0.05%. The removal percent (R%) and equilibrium adsorption capacity q_e (mg g⁻¹) were calculated using eqn (2) and (3), respectively: where C_e and C₀ are the equilibrium and initial DZ concentration (mg L⁻¹), respectively. m is the adsorbent mass (g) and V is the DZ solution volume (L). To optimize the adsorption efficiency of diazinon, the pH (4 to 12), shaking time (0.5 to 32 h), initial DZ concentration (30 to 360 mg L⁻¹) based on the sample adsorption capacity, ionic strength, the dosage of CN and FCN (0.25 to 1.60 g L⁻¹), and adsorption temperature (20, 30, and 38 °C) effects were investigated. In the study of the ionic strength effect on DZ adsorption by FCN, we used solvents with various ionic strengths (I) (distilled water and (0.1, 0.2, 0.3, 0.5, and 1.0 mol L⁻¹ KCl) with I = 0.0, 0.1, 0.2, 0.3, 0.5, and 1.0 mol L⁻¹, respectively).

Publication 2023

Adsorption Diazinon Ionic Solvents

Top products related to «Diazinon»

Diazinon by Merck Group

Sourced in United States, Germany

Diazinon is a laboratory equipment product manufactured by Merck Group. It is a colorless to pale yellow liquid used for various analytical and research applications. Diazinon is a pesticide that can be used as a standard or reference material in chemical analysis and testing.

Methanol by Merck Group

Sourced in Germany, United States, Italy, India, United Kingdom, China, France, Poland, Spain, Switzerland, Australia, Canada, Sao Tome and Principe, Brazil, Ireland, Japan, Belgium, Portugal, Singapore, Macao, Malaysia, Czechia, Mexico, Indonesia, Chile, Denmark, Sweden, Bulgaria, Netherlands, Finland, Hungary, Austria, Israel, Norway, Egypt, Argentina, Greece, Kenya, Thailand, Pakistan

Methanol is a clear, colorless, and flammable liquid that is widely used in various industrial and laboratory applications. It serves as a solvent, fuel, and chemical intermediate. Methanol has a simple chemical formula of CH3OH and a boiling point of 64.7°C. It is a versatile compound that is widely used in the production of other chemicals, as well as in the fuel industry.

Acetonitrile by Merck Group

Sourced in Germany, United States, Italy, India, China, United Kingdom, France, Poland, Spain, Switzerland, Australia, Canada, Brazil, Sao Tome and Principe, Ireland, Belgium, Macao, Japan, Singapore, Mexico, Austria, Czechia, Bulgaria, Hungary, Egypt, Denmark, Chile, Malaysia, Israel, Croatia, Portugal, New Zealand, Romania, Norway, Sweden, Indonesia

Acetonitrile is a colorless, volatile, flammable liquid. It is a commonly used solvent in various analytical and chemical applications, including liquid chromatography, gas chromatography, and other laboratory procedures. Acetonitrile is known for its high polarity and ability to dissolve a wide range of organic compounds.

Diazinon by Chem Service

Sourced in United States

Diazinon is a chemical compound commonly used as an insecticide. It is a white, crystalline solid with a mild aromatic odor. Diazinon is designed to control a variety of insect pests, particularly those that target agricultural crops and livestock. The core function of Diazinon is to act as a pesticide by inhibiting the activity of the enzyme acetylcholinesterase, which is essential for the proper functioning of the nervous system in insects and other arthropods.

Acetic acid by Merck Group

Sourced in United States, Germany, United Kingdom, Italy, India, China, France, Spain, Switzerland, Poland, Sao Tome and Principe, Australia, Canada, Ireland, Czechia, Brazil, Sweden, Belgium, Japan, Hungary, Mexico, Malaysia, Macao, Portugal, Netherlands, Finland, Romania, Thailand, Argentina, Singapore, Egypt, Austria, New Zealand, Bangladesh

Acetic acid is a colorless, vinegar-like liquid chemical compound. It is a commonly used laboratory reagent with the molecular formula CH3COOH. Acetic acid serves as a solvent, a pH adjuster, and a reactant in various chemical processes.

Malathion by Merck Group

Sourced in United States, Germany, China

Malathion is a laboratory equipment product manufactured by Merck Group. It is an organophosphate compound commonly used as a pesticide. The core function of Malathion is to serve as a broad-spectrum insecticide in research and laboratory settings.

Methyl parathion by Merck Group

Sourced in United States, Germany

Methyl parathion is a chemical compound used as an insecticide and acaricide. It is a crystalline solid used in various agricultural and industrial applications. The core function of methyl parathion is to act as a pesticide, primarily targeting insects and mites.

Fenitrothion by Merck Group

Sourced in United States, Germany

Fenitrothion is an organophosphate compound used as an insecticide for agricultural and public health applications. It acts as an inhibitor of the acetylcholinesterase enzyme, which is essential for proper nerve function in insects. The core function of Fenitrothion is to provide effective control of various insect pests.

Dimethoate by Merck Group

Sourced in United States, Germany, China, Sao Tome and Principe

Dimethoate is a chemical compound used as an insecticide and acaricide. It is primarily used for the control of aphids, leafhoppers, and mites in various agricultural crops.

Atrazine by Merck Group

Sourced in United States, Germany, Switzerland, Spain

Atrazine is a laboratory chemical used as a standard and reference material in analytical procedures. It is a herbicide compound that can be utilized for various research and development applications. Atrazine serves as a tool for calibration, method validation, and quality control in laboratory settings.

More about "Diazinon"

Diazinon is an organophosphate pesticide that is commonly used to control a variety of pests, including insects and mites.
It works by inhibiting the enzyme acetylcholinesterase, which is essential for proper nervous system function in insects and other organisms.
This can lead to overstimulation of the nervous system and ultimately, the death of the target pest.
Diazinon is used in agriculture, horticulture, and residential settings, but its use must be carefully managed and regulated due to the potential harm it can pose to humans and other non-target species.
Researchers can utilize PubCompare.ai's AI-driven platform to easily locate the most reproducible and accurate protocols for working with diazinon, from published literature, pre-prints, and patents.
This can help identify the best procedures and products for their research needs, ensuring the safety and efficacy of their experiments.
Diazinon is similar to other organophosphate pesticides like malathion, methyl parathion, fenitrothion, and dimethoate, which also work by inhibiting acetylcholinesterase.
These compounds can be used in conjunction with solvents like methanol, acetonitrile, and acetic acid for various research and analytical applications.
Additionally, researchers may need to consider the potential interactions between diazinon and other commonly used agrochemicals, such as the herbicide atrazine.
By utilizing PubCompare.ai's AI-powered platform, researchers can effortlessly navigate the complexities of working with diazinon and related compounds, ensuring their experiments are conducted safely and effectively.