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  1. Book: Characterization of improved sweet sorghum cultivars

    Srinivasa Rao, P.

    (Springer briefs in agriculture)

    2013  

    Author's details P. Srinivasa Rao ... ed
    Series title Springer briefs in agriculture
    Language English
    Size IX, 130 S. : Ill., graph. Darst.
    Publisher Springer
    Publishing place New Delhi u.a.
    Publishing country India
    Document type Book
    HBZ-ID HT017412897
    ISBN 978-81-322-0782-5 ; 9788132207832 ; 81-322-0782-3 ; 8132207831
    Database Catalogue ZB MED Nutrition, Environment, Agriculture

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    In stock of ZB MED Bonn / Germany

    Shelf markLoan statusLocation
    128/1131 available for loan (reading room) Freihandmagazin (U1)

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  2. Book ; Online ; E-Book: Agricultural Soil Sustainability and Carbon Management

    Meena, Sunita Kumari / Ferreira, Ademir de Oliveira / Meena, Vijay Singh / Rakshit, Amitava / Shrestha, Rajendra P. / Koneru, Srinivasa Rao / Siddique, K. H. M.

    2023  

    Abstract: Agricultural Soil Sustainability and Carbon Management presents long-term research in the field of sustainable soil use and management to guide in the prioritizing the multifunctional value of soil health and addressing interdisciplinary links between ... ...

    Author's details edited by Sunita Kumari Meena, Ademir de Oliveira Ferreira, Vijay Singh Meena, Amitava Rakshit, Rajendra P. Shrestha, Ch. Srinivasa Rao, Kadambot H.M. Siddique
    Abstract Agricultural Soil Sustainability and Carbon Management presents long-term research in the field of sustainable soil use and management to guide in the prioritizing the multifunctional value of soil health and addressing interdisciplinary links between major issues such as biodiversity and climate change. As soil is the largest terrestrial carbon pool and a significant contributor of greenhouse gases, much progress can be made toward curtailing the climate crisis by sustainable soil management practices. The book provides valuable insight into the soil and carbon management, research gaps, and the methodological challenges for research into soil carbon management that will be important over the decades.
    Keywords Carbon sequestration ; Climate change mitigation ; Crops and soils ; Soil conservation ; Sustainable agriculture
    Subject code 628.532
    Language English
    Size 1 online resource (392 pages)
    Publisher Academic Press
    Publishing place Oxford, England
    Document type Book ; Online ; E-Book
    Remark Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
    ISBN 9780323959124 ; 9780323959117 ; 0323959121 ; 0323959113
    Database ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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  3. Article ; Online: Correction to: Biosynthesis, Spectroscopic, and Antibacterial Investigations of Silver Nanoparticles.

    Albert, Helen Merina / Mendam, Kishore / Bansod, Prafulla Gendaji / Srinivasa Rao, M S / Asatkar, Archana / Chakravarthi, M Kalyan / Mallesh, M P

    Journal of fluorescence

    2024  

    Language English
    Publishing date 2024-05-08
    Publishing country Netherlands
    Document type Published Erratum
    ZDB-ID 2016892-5
    ISSN 1573-4994 ; 1053-0509
    ISSN (online) 1573-4994
    ISSN 1053-0509
    DOI 10.1007/s10895-024-03756-z
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A comprehensive review of the mechanism, changes, and effect of deep fat frying on the characteristics of restructured foods.

    S, Sivaranjani / T, Jayasree Joshi / Shagolshem Mukta, Singh / Rao, P Srinivasa

    Food chemistry

    2024  Volume 450, Page(s) 139393

    Abstract: Restructured foods are a blend of various ingredients that are dried or fried to obtain a ready-to-eat product. Several frying techniques have been employed viz., deep fat, microwave, vacuum, air, and spray frying. Deep-fat frying is the most common ... ...

    Abstract Restructured foods are a blend of various ingredients that are dried or fried to obtain a ready-to-eat product. Several frying techniques have been employed viz., deep fat, microwave, vacuum, air, and spray frying. Deep-fat frying is the most common technique used for products that have improved texture and sensory characteristics. It facilitates various transformations that include starch gelatinization, protein denaturation, nutrient loss, non-enzymatic browning, lipid oxidation, etc. This physicochemical change alters both the product and the fried oil quality. The frying conditions will also influence the product characteristics and affect the properties of the fried product. This review focuses on the mechanisms and transformations during deep fat frying. The properties, namely physical, chemical, sensory, thermal, rheological, and microstructural changes of restructured foods were discussed. Thus, a better understanding of mechanisms and properties at optimum frying conditions would yield the desired product quality.
    Language English
    Publishing date 2024-04-16
    Publishing country England
    Document type Journal Article ; Review
    ZDB-ID 243123-3
    ISSN 1873-7072 ; 0308-8146
    ISSN (online) 1873-7072
    ISSN 0308-8146
    DOI 10.1016/j.foodchem.2024.139393
    Database MEDical Literature Analysis and Retrieval System OnLINE

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    In stock of ZB MED Bonn / Germany

    Z 3634: Show issues

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  5. Article ; Online: Viscoelastic behaviour, sensitivity analysis and process optimization of aloe Vera/HM pectin mix gels: An investigation using RSM and ANN and its application to food gel formulation

    Patruni, Kiran / Srinivasa Rao, P.

    LWT. 20232023 Feb. 06, Feb. 06, v. 176 p.114564-

    2023  

    Abstract: Reconstituted Aloe vera non-fibrous alcohol insoluble residue (NFAIR) hydrogels were utilized to combine gel formation with HM pectin samples in order to minimize the additive. The Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) ... ...

    Abstract Reconstituted Aloe vera non-fibrous alcohol insoluble residue (NFAIR) hydrogels were utilized to combine gel formation with HM pectin samples in order to minimize the additive. The Response Surface Methodology (RSM) and Artificial Neural Networks (ANN) were used to examine the impact of the Aloe vera/HM pectin mix ratio (0.25-1.0), sucrose (0-60% w/w), and pH (3-7) on the responses to the Power law model fitted (RSM). The RSM and ANN statistical performance was assessed based on the validation data set utilizing the coefficient of determination (R²), root mean square error (RMSE), standard error of prediction (SEP), model predictive error (MPE), and absolute average deviation (AAD). The validation data produced coefficients of determination (R²) for the RSM and ANN models that were 0.869 and 0.991, respectively. According to the commonly used steepest ascent numerical optimization technique, the addition of Aloe vera/HM pectin with a mix ratio (r) ranging from 0.40 to 0.59 can lower sucrose from 60% to 40% weight-weight while maintaining a similar gel strength and being more appealing. According to the results, Aloe vera was a good choice for the development of HM pectin mix gel formation with the addition of less sugar.
    Keywords Aloe vera ; alcohols ; data collection ; gel strength ; hydrogels ; mathematical models ; pH ; pectins ; prediction ; response surface methodology ; sucrose ; viscoelasticity ; Aloe vera mix gel ; Viscoelastic behaviour ; Response surface model (RSM) ; Artificial neural network (ANN) ; Optimization
    Language English
    Dates of publication 2023-0206
    Publishing place Elsevier Ltd
    Document type Article ; Online
    Note Use and reproduction
    ZDB-ID 241369-3
    ISSN 0460-1173 ; 0023-6438
    ISSN 0460-1173 ; 0023-6438
    DOI 10.1016/j.lwt.2023.114564
    Database NAL-Catalogue (AGRICOLA)

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    In stock of ZB MED Bonn / Germany

    Z 2634: Show issues

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  6. Article ; Online: High Sensitivity of Dielectrically Modulated Tunnel Field Effect Transistor for Biosensor Applications.

    Harika, P / Kondavitee, Girija Sravani / Karumuri, Srinivasa Rao / Lay-Ekuakille, Aime

    IEEE transactions on nanobioscience

    2024  Volume PP

    Abstract: The Dielectrically Modulated Full Gate Tunnel Field Effect Transistor (FET) with dual nanocavities, as described in the paper, is a novel device designed as a label-free biosensor for detecting cancer cell biomolecules. This biosensor utilizes the ... ...

    Abstract The Dielectrically Modulated Full Gate Tunnel Field Effect Transistor (FET) with dual nanocavities, as described in the paper, is a novel device designed as a label-free biosensor for detecting cancer cell biomolecules. This biosensor utilizes the principles of field-effect transistors and incorporates nanocavities to enhance the detection sensitivity. The simulations are conducted using the Silvaco Atlas model, which allowed for the analysis of the device's electrical characteristics in the presence of various cancer cell biomolecules. The performance of the proposed device is evaluated using several sensing metrics, including current, threshold voltage, and subthreshold slope. These metrics are examined to assess their sensitivity to the presence of different cancer cell biomolecules. By analyzing these electrical characteristics, we can able to determine the device's ability to detect and differentiate between specific biomolecules associated with cancer cells. One important aspect discussed in the paper is the incorporation of nanocavities in the device design. These nanocavities have a significant impact on enhancing the sensing capabilities of the biosensor. The paper also introduces the concept of the filling factor parameter, which describes the fraction of the nanocavity volume occupied by the cancer cell biomolecules. This parameter plays a crucial role in achieving optimal sensing performance. Overall, the paper presents a comprehensive analysis of the proposed Dielectrically Modulated Full gate Tunnel FET embedded with dual nanocavities as a label-free biosensor for cancer cell biomolecules. The simulations conducted using the Silvaco Atlas model provide valuable insights into the device's electrical characteristics and its sensitivity to different biomolecules. The study emphasizes the significance of nanocavities and their filling factor parameter in achieving enhanced sensing performance for cancer cell detection.
    Language English
    Publishing date 2024-04-24
    Publishing country United States
    Document type Journal Article
    ISSN 1558-2639
    ISSN (online) 1558-2639
    DOI 10.1109/TNB.2024.3386586
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: The Journal of Clinical and Scientific Research

    B Vengamma / P V. L N. Srinivasa Rao

    Journal of Clinical and Scientific Research, Vol 11, Iss 1, Pp 1-

    A decade of existence and the journey forward!

    2022  Volume 1

    Keywords Medicine ; R
    Language English
    Publishing date 2022-01-01T00:00:00Z
    Publisher Wolters Kluwer Medknow Publications
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

    Full text online

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  8. Article ; Online: Influence of multi valent states of vanadium ions in ZnO doped novel calcium fluoro phosphate bio glasses.

    Chand, N Rama Krishna / Sudhakar, B K / Ravikumar, G / Gayathri, V / Devika, P / Vennela, T / Rao, G Srinivasa / Rao, Ch Srinivasa

    Journal of the mechanical behavior of biomedical materials

    2022  Volume 131, Page(s) 105230

    Abstract: ... ZnO- ... ...

    Abstract ZnO-CaF
    MeSH term(s) Calcium ; Glass/chemistry ; Ions ; Vanadium ; Zinc Oxide/chemistry
    Chemical Substances Ions ; Vanadium (00J9J9XKDE) ; Zinc Oxide (SOI2LOH54Z) ; Calcium (SY7Q814VUP)
    Language English
    Publishing date 2022-05-05
    Publishing country Netherlands
    Document type Journal Article ; Review ; Research Support, Non-U.S. Gov't
    ZDB-ID 2378381-3
    ISSN 1878-0180 ; 1751-6161
    ISSN (online) 1878-0180
    ISSN 1751-6161
    DOI 10.1016/j.jmbbm.2022.105230
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  9. Article ; Online: Elevated CO

    Vanaja, M / Sarkar, B / Sathish, P / Jyothi Lakshmi, N / Yadav, S K / Mohan, Ch / Sushma, A / Yashavanth, B S / Srinivasa Rao, M / Prabhakar, M / Singh, V K

    Scientific reports

    2024  Volume 14, Issue 1, Page(s) 2928

    Abstract: The rising temperatures and levels of carbon dioxide in the atmosphere are anticipated to have a significant impact on the productivity of agricultural crops. Although, the individual effects of elevated ... ...

    Abstract The rising temperatures and levels of carbon dioxide in the atmosphere are anticipated to have a significant impact on the productivity of agricultural crops. Although, the individual effects of elevated CO
    MeSH term(s) Carbon Dioxide/metabolism ; Temperature ; Zea mays ; Photosynthesis/physiology ; Edible Grain/metabolism ; Crops, Agricultural/metabolism
    Chemical Substances Carbon Dioxide (142M471B3J)
    Language English
    Publishing date 2024-02-05
    Publishing country England
    Document type Journal Article
    ZDB-ID 2615211-3
    ISSN 2045-2322 ; 2045-2322
    ISSN (online) 2045-2322
    ISSN 2045-2322
    DOI 10.1038/s41598-024-53343-2
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  10. Article ; Online: In silico molecular docking analysis for potential anti-Alzheimer's compounds from the methanolic leaf extract of Erythroxylum monogynum using Gas chromatography–mass spectrometry

    P. Subash / Kareti Srinivasa Rao

    Journal of Saudi Chemical Society, Vol 25, Iss 8, Pp 101285- (2021)

    2021  

    Abstract: Background: Alzheimer's disease is the major cause of dementia by two main factors includes an accumulation of acetylcholinesterase enzyme at cholinergic synapse and deposition of β-amyloid protein at neurofibrillary tangles. The present investigation ... ...

    Abstract Background: Alzheimer's disease is the major cause of dementia by two main factors includes an accumulation of acetylcholinesterase enzyme at cholinergic synapse and deposition of β-amyloid protein at neurofibrillary tangles. The present investigation explores the binding affinities of phytoconstituents present in the methanolic leaf extract of Erytrhroxylum monogynum identified by gas chromatography-mass spectrometry against selected targets, i.e., β-amyloid and acetylcholinesterase. Objectives: The main objective of present study was to explore anti-Alzheimer's potential of phytoconstituents from methanolic leaf extract of Erytrhroxylum monogynum. Methods: Erytrhroxylum monogynum leaf material was subjected to Soxhlet extraction by three different solvents, namely n-hexane, chloroform and methanol. The methanolic leaf extract was subjected to Gas chromatography–mass spectrometric analysis for identification of novel phytoconstituents and chromatogram revealed the presence of 45 novel phytoconstituents. These phytoconstituents were not reported earlier from any part of this plant material. These phytoconstituents were explored for their anti-Alzheimer’s potential by iGEMDOCK software against selected targets, namely recombinant human acetylcholinesterase (protein data bank ID: 3LII) and β-amyloid (protein data bank ID: 2LMN). Results: From the results of docking analysis, the top five phytoconstituents with the highest binding affinity towards the selected targets were further subjected to ADMET prediction by in silico admetSAR web portal. Conclusions: Molecular docking analysis revealed the presence of 7 phytoconstituents are having the highest binding affinity towards the selected targets when compared to their respective standard compounds namely 9, 12-octa-decadienoic acid, methyl ester, (E, E); octadecanoic acid, methyl ester; hexadecanoic acid, 2-hydroxy-1-(hydroxymethyl) ethyl ester; 3, 6-ditigloyloxy-7-hydroxytropane; 3, 7,11, 15-tetramethyl-2-hexa-decen-1-ol; neophytadiene and phytol. The lead hits ...
    Keywords In silico analysis ; ADMET courses ; Erythroxylum monogynum ; Chemical constituents ; Alzheimer’s disease ; Chemistry ; QD1-999
    Subject code 540
    Language English
    Publishing date 2021-08-01T00:00:00Z
    Publisher Elsevier
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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