Effect of torrefaction on pellet quality parameters

2022 ◽  
Author(s):  
Barbora Grycova ◽  
Katerina Klemencova ◽  
Lucie Jezerska ◽  
Martin Zidek ◽  
Pavel Lestinsky
Keyword(s):  
Quality Parameters ◽  
Pellet Quality

scholarly journals Effect of glauconite, sepiolite and oil supplementation on pellet quality parameters in poultry compound feed

2020 ◽  
Vol 71 (3) ◽  
pp. 2391
Author(s):  
G. YILDIZ ◽  
Ö. DURNA AYDIN
Keyword(s):  
Water Activity ◽  
Dry Matter ◽  
Storage Conditions ◽  
Quality Parameters ◽  
Pellet Quality ◽  
Pellet Production ◽  
Durability Index ◽  
Pellet Feed ◽  
Positive Effect ◽  
Different Levels

The aim of this study was conducted to determine the effect of glauconite, sepiolite and oil on pellet quality parameters in poultry compound feed. There are limited studies with supplementation of different levels of sepiolite and glauconite clay minerals in diets about pellet quality during the pelleting processes. Thus, the effect of sepiolite and glauconite on pellet quality parameters was investigated in our study. The study was carried out in two different. Firstly, 1% and 2% levels sepiolite and glauconite were added to each concentrate in pellet production without adding oil. Secondly, 1% and 2% levels of sepiolite, glauconite and 1% oil were added to the concentrates during pelleting. In both experiments, the trial consisted of 1 control and 4 trial groups. Pellet concentrate feeds were produced with 7 batches (each batch was 100 kg). The disc that has hole diameter 3.5 mm and wall thickness of 70 mm was used in production. At the end of the study, dry matter level of the pellets was statistically influenced by the addition of sepiolite, glauconite and oil in poultry compound pellet feed The lowest pellet dry matter value belongs to C and CO groups (p<0.05). Pellet durability index of poultry compound pellet feed were not statistically affected by the addition of sepiolite, glauconite and oil. Pellet water activity of poultry compound pellet feed were not statistically affected by the addition of sepiolite, glauconite and oil. However, the pellet water activity of laying hens pellet concentrates (without oil addition) were statistically affected by the addition of sepiolite and glauconite (p<0.05). Pellet water activity has the lowest value especially in the groups in which glauconite is added. In conclusion, these findings showed that glauconite, sepiolite and oil can be used for pellet quality in poultry compound feed (especially laying hen feed) and improve pellet storage conditions and due to the positive effect of glauconite and sepiolite on pellet water activity.

Monitoring of essential oils during storage by selected quality parameters

Planta Medica ◽  
2010 ◽  
Vol 76 (12) ◽  
Author(s):  
C Turek ◽  
S Ritter ◽  
F Stintzing
Keyword(s):  
Essential Oils ◽  
Quality Parameters

Creating adaptive predictions for packaging-critical quality parameters using advanced analytics and machine learning

TAPPI Journal ◽  
2019 ◽  
Vol 18 (11) ◽  
pp. 679-689
Author(s):  
CYDNEY RECHTIN ◽  
CHITTA RANJAN ◽  
ANTHONY LEWIS ◽  
BETH ANN ZARKO
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Predictive Analytics ◽  
Paper Industry ◽  
Quality Parameters ◽  
Fast Change ◽  
The Face ◽  
Model Tuning ◽  
Reducing Costs ◽  
Time Critical

Packaging manufacturers are challenged to achieve consistent strength targets and maximize production while reducing costs through smarter fiber utilization, chemical optimization, energy reduction, and more. With innovative instrumentation readily accessible, mills are collecting vast amounts of data that provide them with ever increasing visibility into their processes. Turning this visibility into actionable insight is key to successfully exceeding customer expectations and reducing costs. Predictive analytics supported by machine learning can provide real-time quality measures that remain robust and accurate in the face of changing machine conditions. These adaptive quality “soft sensors” allow for more informed, on-the-fly process changes; fast change detection; and process control optimization without requiring periodic model tuning. The use of predictive modeling in the paper industry has increased in recent years; however, little attention has been given to packaging finished quality. The use of machine learning to maintain prediction relevancy under everchanging machine conditions is novel. In this paper, we demonstrate the process of establishing real-time, adaptive quality predictions in an industry focused on reel-to-reel quality control, and we discuss the value created through the availability and use of real-time critical quality.

Quality of ram spermatozoa separated with modified swim up method

2018 ◽  
Vol 33 (2) ◽  
pp. 62-70 ◽  
Author(s):  
A Hossain ◽  
MM Islam ◽  
F Naznin ◽  
RN Ferdousi ◽  
FY Bari ◽  
...  
Keyword(s):  
Semen Quality ◽  
Membrane Integrity ◽  
Quality Parameters ◽  
Fluid Medium ◽  
Normal Morphology ◽  
The Mean ◽  
Mass Activity ◽  
Fresh Semen ◽  
Artificial Vagina

Semen was collected from four rams, using artificial vagina and viability%, motility% and plasma membrane integrity% were measured. Fresh ejaculates (n = 32) were separated by modified swim-up separation using modified human tubal fluid medium. Four fractions of supernatant were collected at 15-minute intervals. The mean volume, mass activity, concentration, motility%, viability%, normal morphology and membrane integrity% (HOST +ve) of fresh semen were 1.0 ± 0.14, 4.1 ± 0.1 × 109 spermatozoa/ml, 85.0 ± 1.3, 89.4 ± 1.0, 85.5 ± 0.7, 84.7 ± 0.5 respectively. There was no significant (P>0.05) difference in fresh semen quality parameters between rams. The motility%, viability% and HOST +ve % of first, second, third and fourth fractions were 53.4 ± 0.5, 68.2 ± 0.3, 74.8 ± 0.3 and 65.5 ± 0.4; 55.5 ± 0.4, 66.2 ± 0.4, 74.5 ± 0.3 and 73.6 ± 0.3 and 66.7 ± 0.5, 66.8 ± 0.5, 65.2 ± 0.4 and 74.7 ± 0.5 respectively. The motility%, viability% and membrane integrity% of separated semen samples differed significantly (P<0.05) between four fractions. The mean motility% and viability% were significantly higher (P<0.05) in third fraction (74.8 ± 0.3%), whereas the mean HOST +ve% was significantly higher (P<0.05) in fourth fraction (74.7 ± 0.5). All quality parameters of separated spermatozoa were significantly (P<0.05) lower than that of fresh semen. The pregnancy rates were higher with fresh semen (71%) in comparison to that of separated sample (57%).Bangl. vet. 2016. Vol. 33, No. 2, 62-70

Investigation of Some Water Quality Parameters of Pond Water under Mymensingh Municipality

2015 ◽  
Vol 8 (1) ◽  
pp. 85-89
Author(s):  
F Zannat ◽  
MA Ali ◽  
MA Sattar
Keyword(s):  
Water Quality ◽  
Water Samples ◽  
Chemical Properties ◽  
Pond Water ◽  
Quality Parameters ◽  
Water Quality Parameters ◽  
Urban Region ◽  
Mn Toxicity ◽  
Ph Values ◽  
Drinking Water Standard

A study was conducted to evaluate the water quality parameters of pond water at Mymensingh Urban region. The water samples were collected from 30 ponds located at Mymensingh Urban Region during August to October 2010. The chemical analyses of water samples included pH, EC, Na, K, Ca, S, Mn and As were done by standard methods. The chemical properties in pond water were found pH 6.68 to 7.14, EC 227 to 700 ?Scm-1, Na 15.57 to 36.00 ppm, K 3.83 to 16.16 ppm, Ca 2.01 to 7.29 ppm, S 1.61 to 4.67 ppm, Mn 0.33 to 0.684 ppm and As 0.0011 to 0.0059 ppm. The pH values of water samples revealed that water samples were acidic to slightly alkaline in nature. The EC value revealed that water samples were medium salinity except one sample and also good for irrigation. According to drinking water standard Mn toxicity was detected in pond water. Considering Na, Ca and S ions pond water was safe for irrigation and aquaculture. In case of K ion, all the samples were suitable for irrigation but unsuitable for aquaculture.J. Environ. Sci. & Natural Resources, 8(1): 85-89 2015

Effect of chemical seed protectants on quality parameters of red gram seed against. pulse beetle Callosobruchus chinensis L under ambient storage

ENTOMON ◽  
2018 ◽  
Vol 43 (4) ◽  
pp. 281-286
Author(s):  
Manish Kumar Yadav ◽  
R.B. Singh
Keyword(s):  
Quality Parameters ◽  
Ambient Condition ◽  
Callosobruchus Chinensis ◽  
Emamectin Benzoate ◽  
Ambient Storage ◽  
Pulse Beetle ◽  
Vigour Index

Among the insecticides tested as seed protectants against Callosobruchus chinensis under ambient condition for a period of nine months revealed that all seed protectants were significantly effective. Maximum germination was observed (86.67%) when seed treated with novaluron 10 EC @0.05ml/kg followed by emamectin benzoate 5 SG@40mg/kg (85.67 per cent). The vigour index was maximum in emamectin benzoate (1913.87) followed by novaluron.

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