Beekeeping Practices, Physiochemical Properties and Consumer Acceptability of Honey Collected from the Forest and Backyard Hives in Pandamatenga, Botswana

2021 ◽  
Vol 36 (4) ◽  
pp. 229-241
Author(s):  
Amogelang Gilbert ◽  
Eyassu Seifu ◽  
Rosemary Kobue-Lekalake
Keyword(s):  
Consumer Acceptability ◽  
Physiochemical Properties

scholarly journals Influence of sugar concentration on physicochemical properties and sensory attributes of sapodilla jam

2016 ◽  
Author(s):  
Aftab Ahmed ◽  
Shinawar Waseem Ali ◽  
Khalil ur Rehman ◽  
Shakir Manzoor ◽  
Syed Rajab Ayub ◽  
...  
Keyword(s):  
Economic Value ◽  
Value Added ◽  
Sensory Attributes ◽  
Product Diversification ◽  
Soluble Solids ◽  
Sugar Concentration ◽  
Consumer Acceptability ◽  
Total Acidity ◽  
Physiochemical Properties ◽  
Significant Difference

Sapodilla has many uses from medicinal to dietary utilization. In recent years emphasis is focused on product diversification by development of value added sapodilla products to enhance its economic value. This study was carried out to investigate the effect of sugar concentration on the physiochemical properties like pH, moisture, ash, total acidity, viscosity, soluble solids, ascorbic acid and consumer acceptability of the product through sensory evaluation. Four samples S1, S2, S3 and S4 were formulated containing 550g, 600g, 650g and 700g sugar respectively. There was no significant difference observed in physiochemical properties of all sample due to sugar concentration. But among all samples S2 and S3 scored highest for color (7.7 and 7.9), flavor (7.6 and 7.7), taste (7.6 and 7.8), texture (7.2 and 7.9) and overall acceptance (7.5 and 7.7) which shows that jam with 550g and 600g sugar is best jam with good sensory attributes.

scholarly journals Influence of sugar concentration on physicochemical properties and sensory attributes of sapodilla jam

2016 ◽  
Author(s):  
Aftab Ahmed ◽  
Shinawar Waseem Ali ◽  
Khalil ur Rehman ◽  
Shakir Manzoor ◽  
Syed Rajab Ayub ◽  
...  
Keyword(s):  
Economic Value ◽  
Value Added ◽  
Sensory Attributes ◽  
Product Diversification ◽  
Soluble Solids ◽  
Sugar Concentration ◽  
Consumer Acceptability ◽  
Total Acidity ◽  
Physiochemical Properties ◽  
Significant Difference

Sapodilla has many uses from medicinal to dietary utilization. In recent years emphasis is focused on product diversification by development of value added sapodilla products to enhance its economic value. This study was carried out to investigate the effect of sugar concentration on the physiochemical properties like pH, moisture, ash, total acidity, viscosity, soluble solids, ascorbic acid and consumer acceptability of the product through sensory evaluation. Four samples S1, S2, S3 and S4 were formulated containing 550g, 600g, 650g and 700g sugar respectively. There was no significant difference observed in physiochemical properties of all sample due to sugar concentration. But among all samples S2 and S3 scored highest for color (7.7 and 7.9), flavor (7.6 and 7.7), taste (7.6 and 7.8), texture (7.2 and 7.9) and overall acceptance (7.5 and 7.7) which shows that jam with 550g and 600g sugar is best jam with good sensory attributes.

SAMPL6 Challenge Results from pKa Predictions Based on a General Gaussian Process Model

2018 ◽  
Author(s):  
Caitlin C. Bannan ◽  
David Mobley ◽  
A. Geoff Skillman
Keyword(s):  
Gaussian Process ◽  
Process Model ◽  
Molecular Graph ◽  
Gaussian Process Regression ◽  
Ionization State ◽  
Training Set ◽  
Physiochemical Properties ◽  
Quantile Plots ◽  
Physical And Chemical ◽  
Good Agreement

<div>A variety of fields would benefit from accurate pK<sub>a</sub> predictions, especially drug design due to the affect a change in ionization state can have on a molecules physiochemical properties.</div><div>Participants in the recent SAMPL6 blind challenge were asked to submit predictions for microscopic and macroscopic pK<sub>a</sub>s of 24 drug like small molecules.</div><div>We recently built a general model for predicting pK<sub>a</sub>s using a Gaussian process regression trained using physical and chemical features of each ionizable group.</div><div>Our pipeline takes a molecular graph and uses the OpenEye Toolkits to calculate features describing the removal of a proton.</div><div>These features are fed into a Scikit-learn Gaussian process to predict microscopic pK<sub>a</sub>s which are then used to analytically determine macroscopic pK<sub>a</sub>s.</div><div>Our Gaussian process is trained on a set of 2,700 macroscopic pK<sub>a</sub>s from monoprotic and select diprotic molecules.</div><div>Here, we share our results for microscopic and macroscopic predictions in the SAMPL6 challenge.</div><div>Overall, we ranked in the middle of the pack compared to other participants, but our fairly good agreement with experiment is still promising considering the challenge molecules are chemically diverse and often polyprotic while our training set is predominately monoprotic.</div><div>Of particular importance to us when building this model was to include an uncertainty estimate based on the chemistry of the molecule that would reflect the likely accuracy of our prediction. </div><div>Our model reports large uncertainties for the molecules that appear to have chemistry outside our domain of applicability, along with good agreement in quantile-quantile plots, indicating it can predict its own accuracy.</div><div>The challenge highlighted a variety of means to improve our model, including adding more polyprotic molecules to our training set and more carefully considering what functional groups we do or do not identify as ionizable. </div>

Physiochemical properties and antioxidant potential of Persea Americana seed oil

2019 ◽  
Author(s):  
Chem Int
Keyword(s):  
Seed Oil ◽  
Antioxidant Activities ◽  
Radical Scavenging ◽  
Reducing Power ◽  
Acid Value ◽  
Persea Americana ◽  
Antioxidant Potential ◽  
Physiochemical Properties ◽  
Physiochemical Parameters ◽  
Ic50 Value

Oil extracted from Persea Americana seed was assayed for its physiochemical properties and antioxidant potential using various standard methods. The oil content of the seed was found to be &lt; 10%. Brownish-red color oil was liquid at room temperature, with specific gravity of 0.91±0.02 g/mL. Other physiochemical parameters determined were; acid value (4.51±0.08 mgKOH/g), %FFA (2.26±0.08), peroxide value (2.40±0.57 mgO2/Kg), ester value (31.26±0.03 mgKOH/g), saponification value (35.76±0.07 mgKOH/g) and iodine value (23.5±0.07). The results of the antioxidant activities of the seed oil showed that the flavonoid content (80.00±1.41 mgQE/g) was ~10 folds higher than the phenolic content (8.27±0.06 mgGAE/g). The DPPH radical scavenging value was found to be 51.54±0.25% with an IC50 value of 4.68±0.02 mg/mL and reducing power with an average absorbance of 0.85±0.01 and an IC50 value of 0.001±0.02 mg/mL. Gallic acid showed better antioxidant activities than the oil studied. The results obtained in this study showed that Persea Americana seed oil has nutritional, industrial as well as medicinal potentials.

Physiochemical Properties of Germinated Brown Rice

2012 ◽  
Vol 41 (7) ◽  
pp. 963-969 ◽  
Author(s):  
Sea-Kwan Oh ◽  
Jeong-Heui Lee ◽  
Mi-Ra Yoon ◽  
Dae-Jung Kim ◽  
Dong-Hyen Lee ◽  
...  
Keyword(s):  
Brown Rice ◽  
Germinated Brown Rice ◽  
Physiochemical Properties

Biological Activities and Physiochemical Properties of Gangwon-do Endemic Makjang Products

2015 ◽  
Vol 44 (6) ◽  
pp. 862-873 ◽  
Author(s):  
Byoung-Mok Kim ◽  
Jee-Hee Jung ◽  
Ji-Hoon Lim ◽  
Min-Jeong Jung ◽  
Jae-Whung Jeong ◽  
...  
Keyword(s):  
Biological Activities ◽  
Physiochemical Properties

Alzheimer’s Disease Targeted Nano-Based Drug Delivery Systems

2020 ◽  
Vol 21 (7) ◽  
pp. 628-646
Author(s):  
Gülcem Altinoglu ◽  
Terin Adali
Keyword(s):  
Alzheimer’S Disease ◽  
Drug Delivery ◽  
Alzheimer's Disease ◽  
Neurological Diseases ◽  
Sustained Drug Release ◽  
Physiochemical Properties ◽  
Conventional Drug ◽  
Health Care Burden ◽  
The Central Nervous System ◽  
Effective Drugs

Alzheimer’s disease (AD) is the most common neurodegenerative disease, and is part of a massive and growing health care burden that is destroying the cognitive function of more than 50 million individuals worldwide. Today, therapeutic options are limited to approaches with mild symptomatic benefits. The failure in developing effective drugs is attributed to, but not limited to the highly heterogeneous nature of AD with multiple underlying hypotheses and multifactorial pathology. In addition, targeted drug delivery to the central nervous system (CNS), for the diagnosis and therapy of neurological diseases like AD, is restricted by the challenges posed by blood-brain interfaces surrounding the CNS, limiting the bioavailability of therapeutics. Research done over the last decade has focused on developing new strategies to overcome these limitations and successfully deliver drugs to the CNS. Nanoparticles, that are capable of encapsulating drugs with sustained drug release profiles and adjustable physiochemical properties, can cross the protective barriers surrounding the CNS. Thus, nanotechnology offers new hope for AD treatment as a strong alternative to conventional drug delivery mechanisms. In this review, the potential application of nanoparticle based approaches in Alzheimer’s disease and their implications in therapy is discussed.

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