scholarly journals 1-Vinylazulenes with Oxazolonic Ring-Potential Ligands for Metal Ion Detectors; Synthesis and Products Properties

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1209
Author(s):  
Mihaela Cristea ◽  
Liviu Bîrzan ◽  
Florea Dumitrascu ◽  
Cristian Enache ◽  
Victorita Tecuceanu ◽  
...  
Keyword(s):  
Heavy Metals ◽  
Physical Properties ◽  
Metal Ion ◽  
Nmr Spectra ◽  
Electron Distribution ◽  
Chemical Properties ◽  
Reaction Conditions ◽  
Physico Chemical ◽  
Heavy Metals Ions ◽  
New Compounds

As a continuation of research on 1-vinylazulenes synthesis, on their physico–chemical properties as well as on their use as colorimetric and electrochemical materials for the detection of heavy metals ions, new compounds, 4-(azulen-1-ylmethylene)-2-phenyloxazol-5(4H)-ones, are reported. The exceptional structure of azulene moiety with symmetrical electron distribution only with respect to the x-axis gives some special chemical and physical properties to compounds in which it is inserted. Various azulene-1-carbaldehydes and hippuric acids are condensed with good yields in Erlenmeyer—Plöchl reaction conditions. The obtained 1-vinylzulenes were characterized and their UV-Vis and NMR spectra were briefly discussed.

scholarly journals Pollution Scenario due to Discharge of Effluent from Agrochemicals and Pesticides Manufacturing Industries of Dombivali Industrial Belt of Mumbai, India

2013 ◽  
Vol 22 ◽  
pp. 8-15
Author(s):  
P.U. Singare ◽  
S.S. Dhabarde
Keyword(s):  
Heavy Metals ◽  
Ph Value ◽  
Winter Season ◽  
Chemical Properties ◽  
Total Solid ◽  
Average Concentration ◽  
Summer Season ◽  
Manufacturing Industries ◽  
Toxic Heavy Metals ◽  
Physico Chemical

The paper deals with monitoring of pollution arising due to agrochemicals and pesticides manufacturing industries located along the Dombivali industrial belt of Mumbai, India. The study was carried for the period of one year from June, 2012 to May, 2013 to study the level of toxic heavy metals and the physico-chemical properties of waste water effluents discharged from the above industries. The average concentration of Cu, Ni, Cr, Pb and Zn was found to be maximum of 29.86, 0.90, 1.16 and 1.19 ppm respectively in summer season, while average Fe concentration was maximum of 51.10 ppm in winter season. The average pH value of the effluent was found to be maximum of 12.95 in summer season, while average conductivity value was maximum of 21085 µmhos/cm in rainy season. The majority of physco-chemical parameters like alkalinity, hardness, salinity, chloride, cyanide, phosphate, total solid, BOD and COD content were found to be maximum in summer season having the average values of 1918, 186, 4, 11.20, 0.07, 81, 6391, 685 and 2556 ppm respectively. The average DO content was found to be low of 4.5 ppm in winter season. It was observed that the concentration level of majority of the toxic heavy metals and physico-chemical properties were above the tolerable limit set for inland surface water. The results of present study indicates that the existing situation if mishandled can cause irreparable ecological harm in the long term well masked by short term economic prosperity due to extensive industrial growth

scholarly journals CHARACTERISTICS OF LEACHATE AT IHIAGWA DUMPSITE, IMO STATE NIGERIA AND THEIR IMPLICATIONS FOR SURFACE WATER POLLUTION

2021 ◽  
pp. 1-11
Author(s):  
CT Nelson ◽  
GT Amangabara ◽  
CO Owuama ◽  
CN Nzeh ◽  
CN Uyo
Keyword(s):  
Heavy Metals ◽  
Chemical Properties ◽  
Total Solid ◽  
Toxic Substances ◽  
Landfill Leachates ◽  
Total Chloride ◽  
Metal Cyanide ◽  
Physico Chemical ◽  
High Concentrations ◽  
Total Dissolved Solid

Open dumpsite is the most common way to eliminate solid urban wastes in this part of the world. An important problem associated to landfills and open dumpsite is the production of leachates. The leachates from these dumpsites have many toxic substances, which may adversely affect the environmental health. Thus in order to have a better management of characteristics of Ihiagwa-Nekede waste dump leachates, representative leachate samples were collected and analyzed for Physico-chemical properties and levels of heavy metals in them. Results indicate pH7.38, temperature 28.30 ℃ - 28.40℃, total dissolved solid 124.01mg/l-125.45mg/l, magnesium hardness 4.40mg/l-7.32mg/l, sulphate 3.60mg/l-3.70mg/l, and nitrate 27.00mg/l-27.60mg/l. Other parameters indicated as follows Conductivity1910𝜇𝑠/𝑐𝑚-1930.00 𝜇𝑠/𝑐𝑚, total chloride 891.72mg/l-891.74mg/l, carbonate 1708.00mg/l-1904.00mg/l, Ammonia 9.39mg/l-9.40mg/l, calcium hardness 373.17mg/l-375.61mg/l, total solid 2423.00mg/l-2454.00mg/l, phosphate 13.52mg/l-13.54mg/l. The heavy metal: cyanide 2.25mg/l-2.33mg/l, zinc 18.08mg/l-18.38mg/l, copper 19.90mg/l20.48mg/l, iron10.67mg/l-10.82mg/l, lead 1.27mg/l-1.41mg/l, and manganese 3.00mg/l-3.61mg/l, all these exceeded the WHO standards. The obtained results showed that the landfill leachates are characterized by high concentrations of heavy metals and other disease causing elements and therefore require urgent treatment to forestall the contamination of groundwater system and the nearby Otamiri River.

Physico-Chemical properties, heavy metals and their relations in cultivated landfill soils dumped with municipal solid wastes

2003 ◽  
Vol 49 (2) ◽  
pp. 163-170 ◽  
Author(s):  
A Mitra ◽  
P Bhattacharyya ◽  
K Chakrabarti ◽  
DJ Chattopadhyay ◽  
A Chakraborty
Keyword(s):  
Heavy Metals ◽  
Chemical Properties ◽  
Solid Wastes ◽  
Municipal Solid Wastes ◽  
Physico Chemical

Synthese und Eigenschaften von Alkyloxi-und Aryloxi-substituierten Trithiadiborolanen / Synthesis and Properties of Alkoxi and Aryloxi Substituted Trithiadiborolanes

1981 ◽  
Vol 36 (11) ◽  
pp. 1444-1450 ◽  
Author(s):  
Max Schmidt ◽  
Erich Sametschek
Keyword(s):  
Thermal Stability ◽  
Nmr Spectra ◽  
Chemical Properties ◽  
Physical And Chemical Properties ◽  
H Nmr ◽  
New Compounds ◽  
Physical And Chemical ◽  
Thermal Stability Of ◽  
And Chemical Properties

Abstract The first examples of the hitherto unknown 1,2,4-Trithia-3,5-diborolanes with B-O-C-bonds have been synthesized and characterised. The diiodo substituted ring (2) reacts with 2,6-dimethylphenol, to form 3,5-bis-(2,6-dimethylphenyloxi)-1,2,4-trithia-3,5-di-borolane (3) and HI. 3,5-Diethoxi-1,2,4-trithia-3,5-diborolane, 5, and C2H5I are formed via the cleavage of diethylether by 2. From 2 and diisopropylether, the corresponding 3,5-diisopropyloxi-1,2,4-trithia-3,5-diborolane (6) is formed. The unsymmetrical ethers methyl-t-butylether and methylphenylether undergo reactions with 2 resulting in the formation of 3,5-dimethyloxi-1,2,4-trithia-3,5-diborolane (8) (besides t-C4H9I) and 3,5-diphenyloxi-1,2,4-trithia-3,5-diborolane (10) (besides CH3I). The thermal stability of the new compounds is increasing with increasing size of R in the -OR group and from aliphatic to aromatic R in this group. IR, Raman, 1H NMR and 11B NMR spectra of the compounds are reported as well as some physical and chemical properties.

scholarly journals Earthworms Converting Milk Processing Industry Sludge into Biomanure

2017 ◽  
Vol 10 (1) ◽  
pp. 30-40 ◽  
Author(s):  
Satveer Singh ◽  
Sartaj A. Bhat ◽  
Jaswinder Singh ◽  
Rajinder Kaur ◽  
Adarsh P. Vig
Keyword(s):  
Heavy Metals ◽  
Chemical Properties ◽  
Maximum Growth ◽  
Processing Industry ◽  
Cocoon Production ◽  
Milk Processing ◽  
Physico Chemical ◽  
Short Period ◽  
Before And After ◽  
Minimum Ratio

Aims and Objectives:The present study was conducted to utilize the Milk Processing Industry Sludge (MPIS) for the purpose of vermicomposting, in two sets of experimentsviz. with earthworms (ME) and without earthworms (MW).Methods and Materials:Twenty young non-clitellatedEisenia fetidawere released in each tray. The various parameters like growth, clitellum development, biomass, cocoon production and hatchlings ofE. fetidawere observed after every 15 days, during 90 days of vermicomposting.Results:The maximum growth and better responses were observed in ME25mixtures of MPIS which was the minimum ratio of the waste to CD. The physico-chemical analysis (pH, EC, TKN, TOC, C/N ratio, TAP, TK, TNa) and heavy metals (Cr, Cu, Mn, Pb) were also done before and after vermicomposting process. There was a significant increase in TKN (23-46%), and TAP (39-47%), and a decrease in pH (6.2-6.8%), EC (24.6-37.2%), TOC (16.8-37.9%), C/N ratio (23.8-97.9%), TK (26.6-40.6%), and TNa (31.3-53%) and heavy metals (Cr 30.9-40.6%, Cu 32.7-44.6%, Mn 23.9-36.3%, and Pb 32.6-42.9%) from initial to final feed mixtures with earthworms.Conclusion:Thus the final vermicompost had excellent physico-chemical properties with all nutrients in plant available forms. The study further strengthens that the vermicomposting is an efficient technique in converting MPIS into nutrient rich biomanure in a short period of timei.e. 90 days.

scholarly journals Studies on Pollution due to Discharge of Effluent from Pharmaceutical Industries of Dombivali Industrial Belt of Mumbai, India

2013 ◽  
Vol 22 ◽  
pp. 16-23
Author(s):  
P.U. Singare ◽  
S.S. Dhabarde
Keyword(s):  
Heavy Metals ◽  
Chemical Properties ◽  
Total Solid ◽  
Solid Content ◽  
Toxic Heavy Metals ◽  
Total Solid Content ◽  
Physico Chemical ◽  
Specific Discharge ◽  
Pharmaceutical Industries ◽  
One Year

The paper deals with monitoring of pollution arising due to pharmaceutical based industries located along the Dombivali industrial belt of Mumbai, India. The study was carried for the period of one year from June, 2012 to May, 2013 to study the level of toxic heavy metals and the physico-chemical properties of waste water effluents discharged from the above industries. The concentration level of majority of toxic heavy metals like Cu, Cr, Pb, Fe and Zn were found to be maximum of 14.06, 0.57, 0.42, 18.93 and 3.31 ppm respectively in the month of February, while Ni concentration was found to be maximum of 0.43 ppm in the month of June. The pH and BOD values were reported to be maximum of 12.54 and 546 ppm respectively in the month of October. The conductivity and total solid content was found to be maximum of 27400 µmhos/cm and 9401 ppm respectively in the month of June. The cyanide content was maximum of 0.13 ppm in the month of April. The alkalinity, hardness, salinity, chloride, phosphate and COD content was reported maximum of 852, 694, 10.36, 4821, 46.32 and 1271 ppm respectively in the month of February. The DO content was found to be minimum of 3.00 ppm in the month of February. It was observed that the level of many of these toxic heavy metals except Zn and various physico-chemical parameters were above the tolerable limit set for inland surface water. From the results of the present investigation it seems that the time has come to move towards ecosystem specific discharge standards to maintain the health and productivity of natural resources on which the majority of Indians are dependent

scholarly journals Physicochemical Parameters and Heavy Metals Content of Soil Samples from Farms in Minna

2015 ◽  
Vol 58 ◽  
pp. 154-163
Author(s):  
Z. Abdulhamid ◽  
E.B. Agbaji ◽  
C.E. Gimba ◽  
A.S. Agbaji
Keyword(s):  
Heavy Metals ◽  
Cation Exchange Capacity ◽  
Physicochemical Parameters ◽  
Chemical Properties ◽  
Absorption Spectrometry ◽  
Exchange Capacity ◽  
Average Concentration ◽  
Soil Samples ◽  
Ph Values ◽  
Physico Chemical

Physico-chemical properties and heavy metals content of soils were determined from seven farms in Minna, central Nigeria. Conventional analytical methods were employed to determine the physico-chemical properties and the heavy metals were analysed by atomic absorption spectrometry. The result showed that pH values ranged from 6.64 - 7.70 indicating slight acidity to slight alkalinity of the soils. The total organic carbon values ranged from 0.95-2.25 % resulting in the presence of organic matter (1.63-3.87). The electrical conductivity values ranged from 17-37 μS/cm. The cation exchange capacity of the soil samples ranged from 3.68-5.15 cmol/kg. The heavy metals levels were in the following range: Cd (0.00018-0.00134 mg/g), Cu (0.0069-0.0476 mg/g), Fe (1.942-2.2059 mg/g), Mn (0.1825-0.3696 mg/g), Ni (0.0065-0.0069 mg/g) and Zn (0.0157-0.2252 mg/g). The concentration of the metals in the soil samples varied according to the following trend: Fe>Mn>Zn> Cu>Ni>Cd. The average concentration of all the metals in each farm also gave the trend Farm B>Farm G>Farm E>Farm C>Farm F>Farm D>Farm A. The findings indicate the presence of heavy metals in all the farms but only Fe was above the FAO/WHO standards.

Modeling Physico-Chemical ADMET Endpoints With Multitask Graph Convolutional Networks

2019 ◽  
Author(s):  
Floriane Montanari ◽  
Lara Kuhnke ◽  
Antonius ter Laak ◽  
Djork-Arné Clevert
Keyword(s):  
Chemical Properties ◽  
Predictive Performance ◽  
Machine Learning Techniques ◽  
Convolutional Network ◽  
Convolutional Networks ◽  
Modeling Methods ◽  
Applied Machine Learning ◽  
Learning Techniques ◽  
Physico Chemical ◽  
New Compounds

Simple physico-chemical properties like logD, solubility or serum albumin binding have a direct impact on the likelihood of success of compounds in clinical trials. Here, we collected all the Bayer in house data related to these properties and applied machine learning techniques to predict them for new compounds. We report that, for the endpoints studied here, a multitask graph convolutional network appears a highly competitive choice. The new model shows increased predictive performance on all endpoints compared to previous modeling methods.<br>

Modeling Physico-Chemical ADMET Endpoints With Multitask Graph Convolutional Networks

2019 ◽  
Author(s):  
Floriane Montanari ◽  
Lara Kuhnke ◽  
Antonius ter Laak ◽  
Djork-Arné Clevert
Keyword(s):  
Chemical Properties ◽  
Predictive Performance ◽  
Machine Learning Techniques ◽  
Convolutional Network ◽  
Convolutional Networks ◽  
Modeling Methods ◽  
Applied Machine Learning ◽  
Learning Techniques ◽  
Physico Chemical ◽  
New Compounds

Simple physico-chemical properties like logD, solubility or serum albumin binding have a direct impact on the likelihood of success of compounds in clinical trials. Here, we collected all the Bayer in house data related to these properties and applied machine learning techniques to predict them for new compounds. We report that, for the endpoints studied here, a multitask graph convolutional network appears a highly competitive choice. The new model shows increased predictive performance on all endpoints compared to previous modeling methods.<br>

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