Improvement of Gayo Lues Patchouli Oil Alcohol Quality With Absorbent Variations of Juice And Purut Orange Peel (Citrus hystrix)

2020 ◽  
Vol 2 (2) ◽  
Author(s):  
Vera Viena ◽  
Elvitriana Elvitriana ◽  
Zulhaini Sartika ◽  
Diana Patra
Keyword(s):  
Chelating Agent ◽  
Orange Peel ◽  
Oil Refinery ◽  
Lime Juice ◽  
Patchouli Alcohol ◽  
Light Yellow ◽  
Color Density ◽  
Light Yellow Color ◽  
Fe Reduction

Patchouli oil refinery in Gayo Lues Aceh Indonesia commonly used evaporation process in an old drums at high temperature which decreased the quality of oil produced. The research to enhance the quality of patchouli alcohol of Gayo Lues patchouli oil using Citrus hystrix absorber has been done.The juice from kaffir lime (1 – 10 % v/v) used as chelating agent, and the kaffir peels powder (2,5 - 7 gr) used as bio sorbent. The highest patchouli alcohol (P.A) both resulted at T=50 oC and 60 minutes heating. Kaffir bio sorbent at 7,5 gr usage, gave 40,37% P.A and Fe reduction of 77,67%; while kaffir lime juice at 4% v/v usage, gave P.A 39,90% and Fe reduction of 78,25%. Purified patchouli oil also characterized by its light yellow color, density and refractive index based on SNI.06-2385-2006. It’s concluded that kaffir peels bio sorbent purification has superior P.A quality than kaffir lime juice.

scholarly journals Fortification of Citric Acid to Enhance Sensory Properties of Papaya Jam during Storage

2019 ◽  
Vol 1 (2) ◽  
pp. 57-60
Author(s):  
Dharia Renate
Keyword(s):  
Citric Acid ◽  
Analysis Of Variance ◽  
Storage Time ◽  
Local Market ◽  
Light Yellow ◽  
Yellow Color ◽  
Light Yellow Color ◽  
Storage Times ◽  
And Storage

Abstract--The objectives of this research were to know the effect of citric acid on papaya jam to its sensory propertiesduring storage and to determine the concentration of citric acid and storage time to the quality of papaya jam.  Material used was mature and ripe of fresh papaya, purchased from local market.  This research was designed as a Factorial Completely Randomized Designed.  The factors were the concentration of citric acids (0.3, 0.35, 0.4 percent w/w) and storage times (0, 1, 2, 3, 4 weeks).  The number of 18 trained panelists evaluated the color, texture, spreadibility and flavor.  Data was analyzed using analysis of variance.  The significantly different treatment was further analyzed by using  Multiple Comparison and TukeyTest.  The results indicated that the concentration of citric acids and storage time had significant effects on the quality of papaya jam.  Research concluded that the concentration of citric acids of 0.4 percent and storage time of 2 weeks were found to yield the best quality in papaya jam.  The papaya jam was good in light yellow color, soft  texture, good spreadibility, liked flavor, hence the consumeracceptance like this papaya jam.

scholarly journals Screening Citrus Rootstocks and Related Selections in Soil and Solution Culture for Tolerance to Low-iron Stress

HortScience ◽  
2009 ◽  
Vol 44 (3) ◽  
pp. 638-645 ◽  
Author(s):  
William S. Castle ◽  
James Nunnallee ◽  
John A. Manthey
Keyword(s):  
Somatic Hybrids ◽  
Solution Culture ◽  
Root Tips ◽  
Soil Culture ◽  
Light Yellow ◽  
Yellow Color ◽  
Volkamer Lemon ◽  
Citrus Macrophylla ◽  
Light Yellow Color ◽  
Fe Reduction

A broad range of plant selections across the orange subfamily Aurantioideae were screened in solution and soil culture for their tolerance to low iron (Fe) stress. Young seedlings grown in soil were transferred to tubs of +Fe nutrient solution, which was later replaced after a brief period with a –Fe solution. Over several trials, ≈20 white root tips were harvested periodically from the plants in each tub and assayed for their ability to reduce Fe3+. The procedure was miniaturized to determine if a fewer number of root tips could be assayed to screen individual plants and to estimate the required sample size. For solution screening, seven root tips were estimated to be adequate for representing a single plant. Seedlings of a few selections were also grown in small containers of soil amended with 0% to 5.9% CaCO3. The results in solution and soil culture were consistent with each other and with previous assessments of the various selections. Based on a summary of the solution and soil responses, the citrus selections were grouped in descending order of Fe3+ reduction rates as Volkamer lemon/Rangpur/sour orange selections/Citrus macrophylla > mandarins and mandarin hybrids > citranges > citrumelos > trifoliate orange. Of the citrus relatives tested in solution culture only, those in the genera Glycosmis, Citropsis, Clausena, and Murraya had high Fe reduction rates with good seedling growth and new leaves developed a light yellow color or showed no loss of greenness. Other citrus relatives in the genera Severinia, Atalantia, and Fortunella and most somatic hybrids had low seedling vigor and produced too few root tips to be properly assessed. The results are useful because of the breadth of selections screened, the identification of various citrus relatives as potential sources of low-Fe stress tolerance in breeding new rootstocks, and the apparent positive relationship between the Fe3+ reduction responses, soil screening responses, and field experiences with carbonate-induced Fe chlorosis responses.

Prediction indicators of the petroleum products quality using statistical methods

2021 ◽  
Author(s):  
Keyword(s):  
Petroleum Product ◽  
Principal Components ◽  
Autoregressive Model ◽  
Linear Models ◽  
Petroleum Products ◽  
Oil Refinery ◽  
Distributed Lag ◽  
Method Of Principal Components ◽  
Product Method

The possibility of the virtual analyzers models constructing of the petroleum products quality indicators for the atmospheric column of an oil refinery is considered. Comparison of linear models is carried out. It was found that more accurate and less costly are autoregressive models with a distributed lag. The use of such models at the facility improves the efficiency of obtaining information about the quality of petroleum products. Keywords virtual analyzers; autoregressive model; lag; factors; petroleum product; method of principal components; quality

scholarly journals Effect of Vector Control and Foliar Nutrition on the Quality of Orange Juice Affected by Huanglongbing: Sensory Evaluation

HortScience ◽  
2017 ◽  
Vol 52 (8) ◽  
pp. 1092-1099 ◽  
Author(s):  
Anne Plotto ◽  
Elizabeth Baldwin ◽  
Jinhe Bai ◽  
John Manthey ◽  
Smita Raithore ◽  
...  
Keyword(s):  
Orange Juice ◽  
Untreated Control ◽  
Orange Peel ◽  
Foliar Nutrition ◽  
Insecticide Treatment ◽  
Fundamental Knowledge ◽  
Valencia Orange ◽  
Orange Trees ◽  
Negative Attributes

A 3-year study was undertaken to establish the effect of field nutritional sprays, combined with insecticide treatments or not against Asian Citrus psyllid, on the fruit quality of ‘Valencia’ orange trees affected by the greening disease Huanglongbing (HLB). Four replicated plots were harvested, juiced, and pasteurized. Nine to twelve trained panelists evaluated the juice using seven flavor, five taste, four mouthfeel and three aftertaste descriptors. There was little difference between treatments in 2013; only orange peel flavor and bitterness were significantly lower for the insecticide treatment. In 2014, positive attributes, such as orange and fruity flavor, sweetness and mouthfeel body, were significantly higher in the insecticide treatment. Sourness was highest in untreated control, and there were no differences between treatments for bitterness. In 2015, negative attributes, such as grapefruit, orange peel and typical HLB flavor, sourness, bitterness, and astringency, were significantly higher in untreated control fruit, suggesting perhaps that the beneficial effect of nutritional and insecticide treatments was cumulative, only manifesting on the 3rd year of the study, and or because of the progression of the disease affecting untreated controls. Data are discussed in relation to juice chemical composition, including volatiles, sugars, acids, limonoids, and flavonoids, adding to the fundamental knowledge concerning chemical drivers of orange flavor.

scholarly journals QUALITY DIFFERENCES OF BOER LIQUID SEMEN DURING STORAGE WITH ADDITION SWEETORANGEESSENTIAL OIL IN TRIS YOLK AND GENTAMICIN EXTENDER

2018 ◽  
Vol 1 (2) ◽  
pp. 78 ◽  
Author(s):  
Sukma Aditya Sitepu ◽  
Zaituni Udin ◽  
Jaswandi Jaswandi ◽  
Hendri Hendri
Keyword(s):  
Essential Oil ◽  
Essential Oils ◽  
Room Temperature ◽  
Semen Quality ◽  
Sweet Orange ◽  
Orange Peel ◽  
Boer Goat ◽  
Closed Tube ◽  
Growth Of Bacteria

AbstractThe purpose of this study was to know the quality of Boer liquid semen during storage by adding sweet orange essential oil and gentamicin into the tris yolkextender.The semenlongevity test was carried out by storing semen in a closed tube at room temperature and refrigerator, and evaluated motility and Viability every 3 hours at room temperature and 12 hours in refrigerator. The results showed that the characteristics of the liquid semen, with the addition of 1% of essential oils showed percentage of motility and Viability significantly higher than 0.5% and without the addition of essential oil, either stored at room temperature or in the refrigerator. This may be related to the content of essential oils of sweet orange peel containing flavonoids and antibacterials that are capable of maintaining liquid semen quality of Boer Goat.In addition, gentamicin contains antibacterials capable of suppressing the growth of bacteria which can damage and durabilitythe spermatozoa.Keywords: Boer Goat,Gentamicin, Liquid semen, Sweet orange

The Role of Solid Particles Obtained from Plant Materials in Improvement the Quality of Cosmetic Care Balms

2021 ◽  
Vol 58 (1) ◽  
pp. 33-43
Author(s):  
Tomasz Wasilewski ◽  
Zofia Nizioł-Łukaszewska ◽  
Tomasz Bujak ◽  
Edyta Szmuc ◽  
Dominik Czerwonka ◽  
...  
Keyword(s):  
Antioxidant Properties ◽  
Orange Peel ◽  
Bentonite Clay ◽  
Product Evaluation ◽  
Sensory Properties ◽  
Solid Particles ◽  
Plant Materials ◽  
Cosmetic Emulsions

Abstract The sensory properties of cosmetic emulsions are part of the basic properties of products such as face creams and body balms. They are extremely important parameters in the product evaluation by consumers. Cosmetics manufacturers are increasingly introducing ingredients in the form of solid particles (talc, bentonite, clay) into formulations to improve the sensory properties of products. Their addition simplifies the application of the emulsion on the skin, effects faster absorption and leaves a feeling of silky smoothness after application. During the work, we investigated solid particles of plant origin: powder from ground orange peel and oat grain. These ingredients were introduced into the formulation of the model body balms. The antioxidant and physicochemical properties of the obtained emulsions as well as the skin hydration after their application were evaluated. It has been shown that the introduction of solid plant particles increases the antioxidant properties of the emulsions and significantly improves emulsion stability and skin moisture after application.

scholarly journals Quality Prediction Modeling of Palm Oil Refining Plant in Malaysia Using Artificial Neural Network Models

2018 ◽  
Vol 7 (3.26) ◽  
pp. 19
Author(s):  
Nurul Sulaiha Sulaiman ◽  
Khairiyah Mohd-Yusof ◽  
Asngari Mohd-Saion
Keyword(s):  
Neural Network ◽  
Artificial Neural Network ◽  
Palm Oil ◽  
Oil Refinery ◽  
Oil Refining ◽  
Great Loss ◽  
Refining Plant ◽  
Artificial Neural ◽  
Refined Palm Oil

Malaysia is currently one of the biggest producers and exporters of palm oil and palm oil products. In the growth of palm oil industry in Malaysia, quality of the refined oil is a major concern where off-specification products will be rejected thus causing a great loss in profit. In this paper, predictive modeling of refined palm oil quality in one palm oil refining plant in Malaysia is proposed for online quality monitoring purposes. The color of the crude oil, Free Fatty acid (FFA) content, bleaching earth dosage, citric acid dosage, activated carbon dosage, deodorizer pressure and deodorizer temperature were studied in this paper. The industrial palm oil refinery data were used as input and output to the Artificial Neural Network (ANN) model. Various trials were examined for training all three ANN models using number of nodes in the hidden layer varying from 10 to 25. All three models were trained and tested reasonably well to predict FFA content, red and yellow color quality of the refined palm oil efficiently with small error. Therefore, the models can be further implemented in palm oil refinery plant as online prediction system.  

Evaluation of a cell culture assay for determination of water quality of oil-refinery effluents

1977 ◽  
Vol 18 (6) ◽  
pp. 683-690 ◽  
Author(s):  
D. Richardson ◽  
T. C. Dorris ◽  
S. Burks ◽  
R. H. Browne ◽  
M. L. Higgins ◽  
...  
Keyword(s):  
Water Quality ◽  
Cell Culture ◽  
Oil Refinery ◽  
A Cell ◽  
Cell Culture Assay

Czochralski Crystal Growth of Zinc Oxide-Tellurium Oxide System

2005 ◽  
Vol 891 ◽  
Author(s):  
Jalal M. Nawash ◽  
Kelvin G. Lynn
Keyword(s):  
Single Crystal ◽  
Grown Crystal ◽  
Oxide System ◽  
High Resistivity ◽  
Czochralski Technique ◽  
Tellurium Oxide ◽  
Light Yellow ◽  
Yellow Color ◽  
Mole Percentage ◽  
Light Yellow Color

ABSTRACTCzochralski technique was employed in an attempt to grow a single crystal of the system ZnO-TeO2. A good quality grown crystal is expected to be transparent with a very light yellow color. The crystals exhibit a high resistivity of the order of 1013 Ω-cm. Different mole percentages have been tested for growth. Several attempts were performed to pull a single crystal. It was found that the best mole percentage of ZnO-TeO2 is 35.5:64.5. The pulled material grows uniformly, such that necking and conning are noticed. The pulled material contained multiple single crystals which were isolated and studied. Each one of them was transparent. Some properties will be presented. The pulled material of the 40:60 ZnO-TeO2 mole percentage returned four phases. Two of these phases are very uncommon.

scholarly journals Oil refinery wastewater treatment in biofilm reactor followed by sand filtration aiming water reuse

2012 ◽  
Vol 2 (2) ◽  
pp. 84-91 ◽  
Author(s):  
Isabelli N. Dias ◽  
Ana C. Cerqueira ◽  
Geraldo L. Sant'Anna ◽  
Marcia Dezotti
Keyword(s):  
Water Reuse ◽  
Slow Rate ◽  
Combined Treatment ◽  
Oxygen Demand ◽  
Biofilm Reactor ◽  
Oil Refinery ◽  
Treated Wastewater ◽  
Refinery Wastewater ◽  
Oil Refinery Wastewater

Oil refinery wastewater was sequentially treated in a moving-bed biofilm reactor (MBBR) and a slow-rate sand filter (SF) in order to obtain an effluent with adequate characteristics for downstream reverse osmosis (RO) operation. Experiments were conducted in bench scale units and the results showed that the MBBR was able to remove 90% chemical oxygen demand (COD), 75% NH4+, 95% phenols, operating with a hydraulic retention time (HRT) of 9 h. Additional removal of COD (15–40%) and ammonia (30–60%) was achieved in the slow-rate SF that was also effective for removing microorganisms. The silt density index (SDI) of the treated wastewater (4.5) was below the maximum limit recommended for RO operation. The quality of the effluent from the combined treatment system (MBBR+SF) was already adequate for cooling tower make-up. The RO produced an effluent with quality compatible with that required for use in boilers.

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