Effect of TANFAC Effluent on varietal response of Black gram (Vigna mungo L. Hepper)

The present research work has been carried out to understand the effect of different concentrations of TANFAC effluent on seed germination and seedling growth of five varieties of black gram (Vigna mungo (L.) Hepper). The Increasing pace of industrialization in public and private sectors along with urbanization, population explosion and green revolution are reflected in varying degree of pollution of air, water, and soil. The TANFAC effluent is having a higher amount of organic and inorganic element. The Physico-chemical analysis showed that it was acidic in nature. It was rich in total suspended and dissolved solids with large amount of Biological Oxygen Demand (BOD) and Chemical Oxygen Demand (COD). The effluents severally affect crop plants and soil properties when used for irrigation. The growth parameters such as germination percentage root length shoot length, number of lateral roots, fresh weight and dry weight were taken on 10th day. All the parameters were found to increase at 10% effluent concentration and it decrease from 25% effluent concentration onwards. Among black gram, variety V-2 was tolerant to TANFAC effluent when compared to other varieties

Effect of briquetting and carbonisation plant effluent on seed germination of five varieties of groundnut (Arachis hypogaea L.)

                     The study deals with pollution by Briquetting and Carbonization plant effluent and its effect on five varieties of groundnut to evaluate its irrigation potential.  The effluent is brownish black in colour. It contains higher amount of total nitrogen, metallic and non-metallic ions, sulphates, sodium, chloride, calcium and magnesium.  The impact of various concentrations (10, 25, 50, 75 and 100 per cent) of this effluent on the seedling growth of five varieties of groundnut (Arachis hypogaea L.) was studied under laboratory conditions.  Germination percentage, seedling growth, fresh weight and dry weight of groundnut seedlings exhibited a gradual increase upto 10 per cent and decrease at higher concentrations.  The variety VRI-4 showed the better growth performance than the other varieties studied under effluent treatment

Changes in Growth and Biochemical Parameters of Groundnut (Arachis hypogaea L.) Influenced by TANFAC Effluent

Wastewater discharged by the industries is one of the major causes of environmental pollution, particularly in the developing countries. Present study was conducted in influence of TANFAC effluent (0, 10, 25, 50, 75 and 100%) on groundnut varieties (Arachis hypogaea L.) var. TMV-7, TMV-2, TMV-10 and TMV-13). The growth parameters such as seedling vigour, vigour index, tolerance index and percentage of phytotoxicity were measured on 10th day seedlings. The morphological and biochemical parameters such as chlorophyll, carotenoid, sugar and starch contents decreased with the increase of effluent concentrations except 10% effluent concentration. Among the four varieties studies TMV-7 performed better under TANFAC factory effluent treatment and it proved to be tolerant when compared to the remaining varieties

In vitro antifungal activity of Turbinaria conoides collected from Mandapam coast, Tamilnadu, India

ABSTRACT                 Marine macroalgae have been used as medicines or drug sources for a great many years, stretching back to the era of folk medicines. Algae have been extensively used in the traditional medicines of maritime nations for treatment of goitre, cancer, hypertension, cough and other diseases. The present work was carried out to find out the antifungal activity of the seaweed Turbinaria conoides collected from Mandapam coastal regions of Tamilnadu. The extracts were tested against Candida albicans, Candida parapsilopsis, Fusarium sp, Aspergillus flavus , Asergillus fumigatus. The hexane, chloroform and ethanolic extracts showed a well profound inhibitory activity against Candida albicans and Candida parapsilopsis. No inhibitory activity was found at Fusarium sp, Aspergillus flavus , Asergillus fumigates under chloroform and ethanolic extracts.Key words: Medicine, antifungal, cancer, Candida albicans, diseases

Effect of Briquetting and Carbonization Plant Effluent on Morphological, Biochemical and Mineral Content of Groundnut (Arachis hypogaea L.)

            The present investigation has been carried out to assess the effect of B &C effluent on morphological, biochemical and mineral content of groundnut seedlings. The physico-chemical analysis of the effluent revealed that the B&C effluent was alkaline in nature and it was rich in suspended and dissolved solids. Germination studies were conducted with various concentration of effluent. The morphological growth parameters (seed germination percentage, seedling growth, fresh weight and dry weight of seedling) and biochemical aspects (Chlorophyll a, b and total chlorophyll, carotenoid, sugar, protein, aminoacid and phenolic contents) showed the increased trend at 10% concentrations of effluent. However, the increased concentrations of effluent reduced the above-mentioned parameters. Among the mineral contents estimated, the phosphorus and potassium showed the same trend. But the nitrogen content showed the increasing trend with the increase of effluent concentrations

Orange Peel as a Green Adsorbent for Wastewater Treatment

This abstract will briefly examine the process of treating wastewater with natural adsorbents and discuss its operation. Impurities must be removed from wastewater through treatment before being discharged into the environment. When using traditional methods, applying procedures requiring a significant amount of energy and chemical input is frequently necessary. On the other hand, naturally occurring adsorbents have garnered much attention because they are inexpensive, highly efficient, and positively affect the environment. The surface of the adsorbent material is where contaminants adhere to and are pulled to as part of the adsorption process. There are a variety of elements that influence the adsorption capacity of an adsorbent. These factors include the chemical composition, surface area, porosity, and functional groups on the surface. The effectiveness of adsorption is also significantly influenced by many other factors, such as pH, temperature, contact time, and the percentage of starting pollutant concentration

Air Pollution Tolerance Index and Biochemical constituents of some plants growing in Neyveli Lignite Corporation (NLC), Tamil Nadu, India

Abstract Plant species can be effectively used as filters to reduce air pollution and also as bio-indicators of urban air quality. Screening of plants for their sensitivity/tolerance level to air pollutants is important because the sensitive plants can serve as bio-indicator and the tolerant plants as sink for controlling air pollution in urban and industrial areas. Biochemical parameters namely Relative Water Content, leaf extract pH, ascorbic acid, chlorophyll, starch, protein, amino acid, reducing and total sugar were estimated to generate Air Pollution Tolerance Index (APTI) for ten plants each at polluted site and control site. The results showed that Terminalia catappa (18.16 and 16.19) and Mangifera indica (16.01 and 15.98) have recorded high and low values in both the sites respectively. In comparison between the two sites, all the values were slightly higher in the polluted site than the control for all the ten plants and a considerable variation was observed among the four parameters where their percentage variations were considered. Terminalia catappa, Mangifera indica and Calotropis gigantea were found to be tolerant towards air pollution

Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study

BackgroundFrontotemporal lobar degeneration (FTLD) is a leading cause of dementia in individuals aged <65 years. Several challenges to conducting in-person evaluations in FTLD illustrate an urgent need to develop remote, accessible, and low-burden assessment techniques. Studies of unobtrusive monitoring of at-home computer use in older adults with mild cognitive impairment show that declining function is reflected in reduced computer use; however, associations with smartphone use are unknown.ObjectiveThis study aims to characterize daily trajectories in smartphone battery use, a proxy for smartphone use, and examine relationships with clinical indicators of severity in FTLD.MethodsParticipants were 231 adults (mean age 52.5, SD 14.9 years; n=94, 40.7% men; n=223, 96.5% non-Hispanic White) enrolled in the Advancing Research and Treatment of Frontotemporal Lobar Degeneration (ARTFL study) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS study) Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) Mobile App study, including 49 (21.2%) with mild neurobehavioral changes and no functional impairment (ie, prodromal FTLD), 43 (18.6%) with neurobehavioral changes and functional impairment (ie, symptomatic FTLD), and 139 (60.2%) clinically normal adults, of whom 55 (39.6%) harbored heterozygous pathogenic or likely pathogenic variants in an autosomal dominant FTLD gene. Participants completed the Clinical Dementia Rating plus National Alzheimer's Coordinating Center Frontotemporal Lobar Degeneration Behavior and Language Domains (CDR+NACC FTLD) scale, a neuropsychological battery; the Neuropsychiatric Inventory; and brain magnetic resonance imaging. The ALLFTD Mobile App was installed on participants' smartphones for remote, passive, and continuous monitoring of smartphone use. Battery percentage was collected every 15 minutes over an average of 28 (SD 4.2; range 14-30) days. To determine whether temporal patterns of battery percentage varied as a function of disease severity, linear mixed effects models examined linear, quadratic, and cubic effects of the time of day and their interactions with each measure of disease severity on battery percentage. Models covaried for age, sex, smartphone type, and estimated smartphone age.ResultsThe CDR+NACC FTLD global score interacted with time on battery percentage such that participants with prodromal or symptomatic FTLD demonstrated less change in battery percentage throughout the day (a proxy for less smartphone use) than clinically normal participants (P<.001 in both cases). Additional models showed that worse performance in all cognitive domains assessed (ie, executive functioning, memory, language, and visuospatial skills), more neuropsychiatric symptoms, and smaller brain volumes also associated with less battery use throughout the day (P<.001 in all cases).ConclusionsThese findings support a proof of concept that passively collected data about smartphone use behaviors associate with clinical impairment in FTLD. This work underscores the need for future studies to develop and validate passive digital markers sensitive to longitudinal clinical decline across neurodegenerative diseases, with potential to enhance real-world monitoring of neurobehavioral change

Examining Associations Between Smartphone Use and Clinical Severity in Frontotemporal Dementia: Proof-of-Concept Study

BACKGROUND: Frontotemporal lobar degeneration (FTLD) is a leading cause of dementia in individuals aged <65 years. Several challenges to conducting in-person evaluations in FTLD illustrate an urgent need to develop remote, accessible, and low-burden assessment techniques. Studies of unobtrusive monitoring of at-home computer use in older adults with mild cognitive impairment show that declining function is reflected in reduced computer use; however, associations with smartphone use are unknown. OBJECTIVE: This study aims to characterize daily trajectories in smartphone battery use, a proxy for smartphone use, and examine relationships with clinical indicators of severity in FTLD. METHODS: Participants were 231 adults (mean age 52.5, SD 14.9 years; n=94, 40.7% men; n=223, 96.5% non-Hispanic White) enrolled in the Advancing Research and Treatment of Frontotemporal Lobar Degeneration (ARTFL study) and Longitudinal Evaluation of Familial Frontotemporal Dementia Subjects (LEFFTDS study) Longitudinal Frontotemporal Lobar Degeneration (ALLFTD) Mobile App study, including 49 (21.2%) with mild neurobehavioral changes and no functional impairment (ie, prodromal FTLD), 43 (18.6%) with neurobehavioral changes and functional impairment (ie, symptomatic FTLD), and 139 (60.2%) clinically normal adults, of whom 55 (39.6%) harbored heterozygous pathogenic or likely pathogenic variants in an autosomal dominant FTLD gene. Participants completed the Clinical Dementia Rating plus National Alzheimer's Coordinating Center Frontotemporal Lobar Degeneration Behavior and Language Domains (CDR+NACC FTLD) scale, a neuropsychological battery; the Neuropsychiatric Inventory; and brain magnetic resonance imaging. The ALLFTD Mobile App was installed on participants' smartphones for remote, passive, and continuous monitoring of smartphone use. Battery percentage was collected every 15 minutes over an average of 28 (SD 4.2; range 14-30) days. To determine whether temporal patterns of battery percentage varied as a function of disease severity, linear mixed effects models examined linear, quadratic, and cubic effects of the time of day and their interactions with each measure of disease severity on battery percentage. Models covaried for age, sex, smartphone type, and estimated smartphone age. RESULTS: The CDR+NACC FTLD global score interacted with time on battery percentage such that participants with prodromal or symptomatic FTLD demonstrated less change in battery percentage throughout the day (a proxy for less smartphone use) than clinically normal participants (P<.001 in both cases). Additional models showed that worse performance in all cognitive domains assessed (ie, executive functioning, memory, language, and visuospatial skills), more neuropsychiatric symptoms, and smaller brain volumes also associated with less battery use throughout the day (P<.001 in all cases). CONCLUSIONS: These findings support a proof of concept that passively collected data about smartphone use behaviors associate with clinical impairment in FTLD. This work underscores the need for future studies to develop and validate passive digital markers sensitive to longitudinal clinical decline across neurodegenerative diseases, with potential to enhance real-world monitoring of neurobehavioral change