scholarly journals Machine Learning-Mediated Development and Optimization of Disinfection Protocol and Scarification Method for Improved In Vitro Germination of Cannabis Seeds

Plants ◽  
2021 ◽  
Vol 10 (11) ◽  
pp. 2397
Author(s):  
Marco Pepe ◽  
Mohsen Hesami ◽  
Andrew Maxwell Phineas Jones
Keyword(s):  
Neural Network ◽  
Hydrogen Peroxide ◽  
Seed Germination ◽  
Sodium Hypochlorite ◽  
Generalized Regression Neural Network ◽  
Validation Experiment ◽  
Disinfection Procedure ◽  
Artificial Intelligence Models ◽  
Artificial Neural Network Ann

In vitro seed germination is a useful tool for developing a variety of biotechnologies, but cannabis has presented some challenges in uniformity and germination time, presumably due to the disinfection procedure. Disinfection and subsequent growth are influenced by many factors, such as media pH, temperature, as well as the types and levels of contaminants and disinfectants, which contribute independently and dynamically to system complexity and nonlinearity. Hence, artificial intelligence models are well suited to model and optimize this dynamic system. The current study was aimed to evaluate the effect of different types and concentrations of disinfectants (sodium hypochlorite, hydrogen peroxide) and immersion times on contamination frequency using the generalized regression neural network (GRNN), a powerful artificial neural network (ANN). The GRNN model had high prediction performance (R2 > 0.91) in both training and testing. Moreover, a genetic algorithm (GA) was subjected to the GRNN to find the optimal type and level of disinfectants and immersion time to determine the best methods for contamination reduction. According to the optimization process, 4.6% sodium hypochlorite along with 0.008% hydrogen peroxide for 16.81 min would result in the best outcomes. The results of a validation experiment demonstrated that this protocol resulted in 0% contamination as predicted, but germination rates were low and sporadic. However, using this sterilization protocol in combination with the scarification of in vitro cannabis seed (seed tip removal) resulted in 0% contamination and 100% seed germination within one week.

Evaluation of a Sporicidal Peracetic Acid/Hydrogen Peroxide–Based Daily Disinfectant Cleaner

2014 ◽  
Vol 35 (11) ◽  
pp. 1414-1416 ◽  
Author(s):  
Abhishek Deshpande ◽  
Thriveen S. C. Mana ◽  
Jennifer L. Cadnum ◽  
Annette C. Jencson ◽  
Brett Sitzlar ◽  
...  
Keyword(s):  
Hydrogen Peroxide ◽  
Staphylococcus Aureus ◽  
Clostridium Difficile ◽  
Sodium Hypochlorite ◽  
Peracetic Acid ◽  
Infect Control Hosp ◽  
Organic Load ◽  
Methicillin Resistant

OxyCide Daily Disinfectant Cleaner, a novel peracetic acid/hydrogen peroxide–based sporicidal disinfectant, was as effective as sodium hypochlorite for in vitro killing of Clostridium difficile spores, methicillin-resistant Staphylococcus aureus, and vancomcyin-resistant enterococci. OxyCide was minimally affected by organic load and was effective in reducing pathogen contamination in isolation roomsInfect Control Hosp Epidemiol 2014;35(11):1414–1416

Stimulatory effects of sodium hypochlorite and ultrasonic treatments on tetrazolium staining and seed germination in vitro of Paphiopedilum SCBG Red Jewel

2016 ◽  
Vol 44 (1) ◽  
pp. 77-90 ◽  
Author(s):  
N. Jiang ◽  
J.X. Zhang ◽  
J.A. Teixeira Da Silva ◽  
J. Duan ◽  
H.T. Liu ◽  
...  
Keyword(s):  
Seed Germination ◽  
Sodium Hypochlorite ◽  
Tetrazolium Staining

scholarly journals The Effect of Sodium Hypochlorite (NaOCl) and Heat Treatments on Seed Germination of Rice: An Approach to Restore Seed Viability

2021 ◽  
pp. 49-53
Author(s):  
Monoj Sutradhar ◽  
Subhasis Samanta ◽  
Brijesh Kumar Singh ◽  
Md. Nasim Ali ◽  
Nirmal Mandal
Keyword(s):  
Seed Germination ◽  
Seed Dormancy ◽  
Sodium Hypochlorite ◽  
Seed Viability ◽  
Germination Percentage ◽  
Heat Treated ◽  
Mother Plants ◽  
Breaking Seed Dormancy ◽  
One Year

Dormancy in rice serves as a mechanism of survival by protecting the seed from germinating in the mother plants; however, it becomes a problem in germination during sowing in soil or under in vitro conditions. This study was conducted to determine the effect of heat treatment and sodium hypochlorite (NaOCl) treatment of seeds on dormancy alleviation. The seeds included both freshly harvested seeds and one-year-old stored seeds, which were tested for germination after different types of seed treatments. Both the treatments increased the germination percentage in seeds, however, it was lesser in the case of old seeds. The best results were obtained from 2% NaOCl treatment for 24 hrs in new seeds, i.e. 92.84±0.103 % germination percentage (GP). However, the higher GP in old seeds were obtained from 48 hrs of heat-treated seeds i.e. 82.9±0.509 % GP. The results of the experiment revealed that rice seeds start to lose viability within a year due to seed dormancy, but this can be reversed with proper measures. These methods of breaking seed dormancy can be considered effective to break seed dormancy and improve seed germination in rice.

scholarly journals Inhibitory Effect of Biocides on the Viable Masses and Matrices of Staphylococcus aureus and Pseudomonas aeruginosa Biofilms

2010 ◽  
Vol 76 (10) ◽  
pp. 3135-3142 ◽  
Author(s):  
K. Toté ◽  
T. Horemans ◽  
D. Vanden Berghe ◽  
L. Maes ◽  
P. Cos
Keyword(s):  
Hydrogen Peroxide ◽  
Staphylococcus Aureus ◽  
Pseudomonas Aeruginosa ◽  
Sodium Hypochlorite ◽  
Peracetic Acid ◽  
Inhibitory Effect ◽  
European Guidelines ◽  
The Matrix ◽  
Antibiofilm Agents

ABSTRACT Bacteria and matrix are essential for the development of biofilms, and assays should therefore target both components. The current European guidelines for biocidal efficacy testing are not adequate for sessile microorganisms; hence, alternative discriminatory test protocols should be used. The activities of a broad range of biocides on Staphylococcus aureus and Pseudomonas aeruginosa biofilms were evaluated using such in vitro assays. Nearly all selected biocides showed a significant decrease in S. aureus biofilm viability, with sodium hypochlorite and peracetic acid as the most active biocides. Only hydrogen peroxide and sodium hypochlorite showed some inhibitory effect on the matrix. Treatment of P. aeruginosa biofilms was roughly comparable to that of S. aureus biofilms. Peracetic acid was the most active on viable mass within 1 min of contact. Isopropanol ensured a greater than 99.999% reduction of P. aeruginosa viability after at least 30 min of contact. Comparable to results with S. aureus, sodium hypochlorite and hydrogen peroxide markedly reduced the P. aeruginosa matrix. This study clearly demonstrated that despite their aspecific mechanisms of action, most biocides were active only against biofilm bacteria, leaving the matrix undisturbed. Only hydrogen peroxide and sodium hypochlorite were active on both the biofilm matrix and the viable mass, making them the better antibiofilm agents. In addition, this study emphasizes the need for updated and standardized guidelines for biofilm susceptibility testing of biocides.

Comparison of the Efficacy of a Hydrogen Peroxide Dry-Mist Disinfection System and Sodium Hypochlorite Solution for Eradication of Clostridium difficile Spores

2009 ◽  
Vol 30 (6) ◽  
pp. 507-514 ◽  
Author(s):  
F. Barbut ◽  
D. Menuet ◽  
M. Verachten ◽  
E. Girou
Keyword(s):  
Hydrogen Peroxide ◽  
Sodium Hypochlorite ◽  
Environmental Contamination ◽  
Bacterial Count ◽  
Sodium Hypochlorite Solution ◽  
Hypochlorite Solution ◽  
Colony Forming Units ◽  
In Situ Experiments

Objective.To compare a hydrogen peroxide dry-mist system and a 0.5% hypochlorite solution with respect to their ability to disinfect Clostridium difficile-contaminated surfaces in vitro and in situ.Design.Prospective, randomized, before-after trial.Setting.Two French hospitals affected by C. difficile.Intervention.In situ efficacy of disinfectants was assessed in rooms that had housed patients with C. difficile infection. A prospective study was performed at 2 hospitals that involved randomization of disinfection processes. When a patient with C. difficile infection was discharged, environmental contamination in the patient's room was evaluated before and after disinfection. Environmental surfaces were sampled for C. difficile by use of moistened swabs; swab samples were cultured on selective plates and in broth. Both disinfectants were tested in vitro with a spore-carrier test; in this test, 2 types of material, vinyl polychloride (representative of the room's floor) and laminate (representative of the room's furniture), were experimentally contaminated with spores from 3 C. difficile strains, including the epidemic clone ribotype 027-North American pulsed-field gel electrophoresis type 1.Results.There were 748 surface samples collected (360 from rooms treated with hydrogen peroxide and 388 from rooms treated with hypochlorite). Before disinfection, 46 (24%) of 194 samples obtained in the rooms randomized to hypochlorite treatment and 34 (19%) of 180 samples obtained in the rooms randomized to hydrogen peroxide treatment showed environmental contamination. After disinfection, 23 (12%) of 194 samples from hypochlorite-treated rooms and 4 (2%) of 180 samples from hydrogen peroxide treated rooms showed environmental contamination, a decrease in contamination of 50% after hypochlorite decontamination and 91% after hydrogen peroxide decontamination (P < .005). The in vitro activity of 0.5% hypochlorite was time dependent. The mean (±SD) reduction in initial log10 bacterial count was 4.32 ± 0.35 log10 colony-forming units after 10 minutes of exposure to hypochlorite and 4.18 ± 0.8 logl0 colony-forming units after 1 cycle of hydrogen peroxide decontamination.Conclusion.In situ experiments indicate that the hydrogen peroxide dry-mist disinfection system is significantly more effective than 0.5% sodium hypochlorite solution at eradicating С difficile spores and might represent a new alternative for disinfecting the rooms of patients with C. difficile infection.

scholarly journals Disinfection of Dental Unit Water Line Using Aloe Vera: In Vitro Study

2013 ◽  
Vol 2013 ◽  
pp. 1-6 ◽  
Author(s):  
Sonia Pareek ◽  
Anup Nagaraj ◽  
Prateek Sharma ◽  
Mansi Atri ◽  
Satinder Walia ◽  
...  
Keyword(s):  
Hydrogen Peroxide ◽  
Sodium Hypochlorite ◽  
Water Samples ◽  
Microbial Contamination ◽  
Aloe Vera ◽  
Microbiological Quality ◽  
In Vitro Study ◽  
Viable Count ◽  
Dental Unit Waterlines

Context. Dental unit waterlines may be heavily contaminated with microorganisms and are a potential source of infection for both practicing staff and immunocompromised patients particularly. Contamination of dental unit water lines could be inhibited with the use of disinfectants. The present study investigates the effect of aloe-vera-based disinfectant in reducing the microbial growth in dental unit water lines (DUWLs).Aims. To compare the efficacy of aloe vera, hydrogen peroxide (H2O2), and 5% sodium hypochlorite (NaOCl) in controlling microbial contamination of DUWLs.Materials and Methods. After obtaining baseline water samples, the dental unit waterlines were treated with aloe vera, 10% hydrogen peroxide, and 5% sodium hypochlorite. Each of the three disinfectants was used in increasing concentrations and their inhibiting effect was compared. Water samples were analyzed for microbiological quality by the total viable count (TVC) method.Statistical Analysis Used. SPSS 16.Results. There was significant reduction in mean CFU/ml when treated with disinfectants each for a period of one week. Aloe-vera solution was found to be the most effective in reducing the microbial colonies.Conclusions. Improving the water quality from dental unit water lines is of considerable importance; chemical-based disinfectants can be replaced with herbal disinfectants for treating microbial contamination in dental unit waterlines.

scholarly journals Neural network modelling of antifungal activity of a series of oxazole derivatives based on in silico pharmacokinetic parameters

2013 ◽  
pp. 249-258 ◽  
Author(s):  
Strahinja Kovacevic ◽  
Sanja Podunavac-Kuzmanovic ◽  
Lidija Jevric ◽  
Natasa Kalajdzija
Keyword(s):  
Neural Network ◽  
Antifungal Activity ◽  
In Silico ◽  
Learning Algorithm ◽  
Back Propagation ◽  
Cell Permeability ◽  
Pharmacokinetic Parameters ◽  
Network Modelling ◽  
Artificial Neural Network Ann

In the present paper, the antifungal activity of a series of benzoxazole and oxazolo[ 4,5-b]pyridine derivatives was evaluated against Candida albicans by using quantitative structure-activity relationships chemometric methodology with artificial neural network (ANN) regression approach. In vitro antifungal activity of the tested compounds was presented by minimum inhibitory concentration expressed as log(1/cMIC). In silico pharmacokinetic parameters related to absorption, distribution, metabolism and excretion (ADME) were calculated for all studied compounds by using PreADMET software. A feedforward back-propagation ANN with gradient descent learning algorithm was applied for modelling of the relationship between ADME descriptors (blood-brain barrier penetration, plasma protein binding, Madin-Darby cell permeability and Caco-2 cell permeability) and experimental log(1/cMIC) values. A 4-6-1 ANN was developed with the optimum momentum and learning rates of 0.3 and 0.05, respectively. An excellent correlation between experimental antifungal activity and values predicted by the ANN was obtained with a correlation coefficient of 0.9536.

scholarly journals Determination of an effective method of Citrus aurantifolia lime and Citrus lemon varieties plant explants sterilization for in vitro introduction into the culture

2020 ◽  
pp. 185-191
Author(s):  
S. Shokh ◽  
Z. Sych ◽  
L. Karpuk
Keyword(s):  
Hydrogen Peroxide ◽  
Sodium Hypochlorite ◽  
Ethanol Solution ◽  
In Vitro Cultivation ◽  
Citrus Aurantifolia ◽  
Planting Material ◽  
Mother Plants ◽  
Cultivation Techniques

Potted citrus plants are in constant demand, but the propagation of such plants requires the use of a winter greenhouse and several well-developed mother plants to obtain planting material. The use of microclonal propagation can accelerate the production of seed material though it requires detailed development of in vitro cultivation techniques. The aim of the research was to study the effectiveness of sterilizing substances and methods of sterilization on the yield of viable micro shoots of lime plants (Citrus aurantifolia) as well as Meyer and Jubilee lemon varieties and their growth in vitro. The research was conducted in the interdepartmental "Biotechnological Laboratory" of the Agrobiotechnological Faculty of Bila Tserkva NAU. The source material was microshoots from lime plants (Citrus aurantifolia), and lemon varieties (Citrus lemon) Meyer and Jubilee. The objects of the study were selected according to the diversity of genotypes, development type and varietal characteristics. The possibility of using different parts of plants for reproduction is a feature of in vitro culture. We used microshoots with a bud in our research. To neutralize the exogenous bacterial and fungal microflora, we used 70 % ethanol solution C2 H5 OH, sodium hypochlorite 5 %, 15 % solution of hydrogen peroxide H2 O2 , sulema (0.1) and washed the material in sterile water (for 5–10 min) under several schemes. The study revealed the influence of different sterilization regimes for obtaining sterile explants and the introduction into plant culture of explants of the species of lime Citrus aurantifolia as well as Meyer and Jubilee lemon varieties. It was found that the use of step sterilization using 2.5 % solutions of sodium hypochlorite gives a high percentage of sterile viable material – 27.7 %, which is significantly higher than in other variants of the experiment. Key words: microshoots, lime, sterile material, micropropagation, sterilization, hydrogen peroxide, viability of explants.

scholarly journals Application of Artificial Neural Network and Genetic Programming in Civil Engineering

2016 ◽  
pp. 1022-1036
Author(s):  
Pijush Samui ◽  
Dhruvan Choubisa ◽  
Akash Sharda
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Genetic Programming ◽  
Input Parameter ◽  
Air Entrainment ◽  
Generalized Regression Neural Network ◽  
Entrainment Rate ◽  
Perfect Model ◽  
Artificial Neural ◽  
Artificial Neural Network Ann

This chapter examines the capability of Genetic Programming (GP) and different Artificial Neural Network (ANN) (Backpropagation [BP] and Generalized Regression Neural Network [GRNN]) models for prediction of air entrainment rate (QA) of triangular sharp-crested weir. The basic principal of GP has been taken from the concept of Genetic Algorithm (GA). Discharge (Q), drop height (h), and angle in triangular sharp-crested weir (?) are considered as inputs of BP, GRNN, and GP. Coefficient of Correlation (R) has been used to assess the performance of developed GP, BP, and GRNN models. For a perfect model, the value of R should be close to one. A sensitivity analysis has been carried out to determine the effect of each input parameter. This chapter presents a comparative study between the developed BP, GRNN, and GP models.

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