A rapid method for evaluating the edible oil oxidative stability during ambient storage by FTIR spectroscopy using a mesh cell

2016 ◽  
Vol 8 (25) ◽  
pp. 5117-5122 ◽  
Author(s):  
Lirong Xu ◽  
Xiuzhu Yu ◽  
Lei Liu ◽  
Mengjun Li ◽  
Rui Zhang
Keyword(s):  
Oxidative Stability ◽  
Ftir Spectroscopy ◽  
Rapid Method ◽  
Functional Group ◽  
Edible Oils ◽  
Edible Oil ◽  
Ambient Storage ◽  
Mesh Cell

Changes of functional group spectra of edible oils during oxidation on a mesh cell.

Qualitative analysis of edible oil oxidation by FTIR spectroscopy using a mesh “cell”

2015 ◽  
Vol 7 (10) ◽  
pp. 4328-4333 ◽  
Author(s):  
Lirong Xu ◽  
Tao Fei ◽  
Qinghua Li ◽  
Xiuzhu Yu ◽  
Lei Liu
Keyword(s):  
Qualitative Analysis ◽  
Ftir Spectroscopy ◽  
Detection Method ◽  
Edible Oil ◽  
Oil Oxidation ◽  
Qualitative Detection ◽  
Mesh Cell

To develop a feasible, green, and fast qualitative detection method for identifying edible oil oxidation, the qualitative discrimination between oxidised and non-oxidised oils was calibrated based on FTIR procedures, which used a mesh cell as a spectral acquisition accessory in combination with Mahalanobis analysis.

scholarly journals A Note on the Edible Oil Milling Sector Output, Value Added and Employment

1977 ◽  
Vol 16 (4) ◽  
pp. 449-463
Author(s):  
Sohail J. Malik
Keyword(s):  
Urban Population ◽  
Edible Oils ◽  
Value Added ◽  
Oil Industry ◽  
Edible Oil

The importance of the edible oil industry cannot be over-emphasised, Most of the urban population and an increasing proportion of the rural popula¬tion depend upon it for their cooking needs. As indigenous supplies are highly inadequate, large quantities of edible oils have to be imported to meet domestic requirements, as shown in Table 1.

scholarly journals Antibiogram Screening of Edible oils Sold in two Geopolitical Zones of Nigeria

2021 ◽  
Vol 25 (5) ◽  
pp. 867-870
Author(s):  
O.N. Akomah-Abadaike ◽  
O.B. Iwuji
Keyword(s):  
Heterotrophic Bacteria ◽  
Edible Oils ◽  
Bacterial Load ◽  
Palm Kernel ◽  
Microbiological Quality ◽  
Antibiotic Sensitivity ◽  
Coconut Oil ◽  
Edible Oil ◽  
Shea Butter ◽  
Candida Sp

Edible oil is of the most important and widely used processed foods. The study was carried out to assess the microbiological quality of edible oil (Shea butter, Coconut oil and Palm Kernel oil) from two geopolitical zones of the country. A total of thirty (30) samples were gotten from four (4) different markets in the two geopolitical zones. Bacteria and Fungi were isolated and identified base on cultural, microscopic, biochemical characteristics and antibiotic sensitivity test were carried out. The total heterotrophic bacteria count (THBC) of the sample ranged from 3.1 x 103 – 3.6 x 104cfu/ml. The total heterotrophic fungi count ranged from 1.0 x 102 – 6.4 x 103cfu/ml. The bacteria isolated and identified were Bacillus sp., Escherichia sp., Pseudomonas sp., Micrococcus sp., Staphyloccus sp., Enterobacterium sp., and Klebsiella sp while the fungi were Aspergillus niger, Aspergillus fumigatus, Rhizopus, Fusarium, Candida sp and Penicillium sp. The antibiogram of the Gram positive bacteria showed that all the organisms were sensitive to Erythromycin (100%) while Gram negative organisms were sensitive to Ofloxacin (100%) and Ciprofloxacin (100%). The bacterial load of all the samples fell within the minimum acceptable range according to CODEX standard. It is important that improve aseptic techniques be employed in the production, handling and marketing of edible oil.

scholarly journals Indian oilseed sector : Need for self-sufficiency in oilseed production

2021 ◽  
Vol 16 (AAEBSSD) ◽  
pp. 46-51
Author(s):  
Rajkaranbir Singh
Keyword(s):  
Edible Oils ◽  
Edible Oil ◽  
Oilseed Crop ◽  
Oil Consumption ◽  
Indian Agriculture ◽  
Oil Crops ◽  
Self Sufficiency ◽  
Oilseed Production ◽  
Increasing Demand ◽  
To Come

Oil crops are an ideal component in the sustainable production system in Indian agriculture. But, the area under oilseeds has experienced a deceleration in general, due to their relative lower profitability against competing crops like maize, cotton, chickpea, etc. under the prevailing crop growing and marketing situations. Despite being the fifth largest oilseed crop producing country in the world, India is also one of the largest importers of vegetable oils today. The country now imports nearly 60 per cent of the annual consumption of 259.22 million tonnes. However, increasing demand for edible oils necessitated the imports in large quantities leading to a substantial drain on foreign exchange. Edible oil consumption in the country has been consistently rising faster than production due to growth in population, increasing income levels and the emerging dietary changes are driving increasing use of edible oils. An immediate action towards this sector is utmost required or the dependency on import will certainly increase in the days to come due to mushrooming population and increased per capita consumption. It is, therefore, necessary to exploit domestic resources to maximize production to ensure edible oil security for the country.

Rapid Determination of Mono-, Di- and Tri-isopropyl Citrate in Foods by Gas Chromatography

1986 ◽  
Vol 49 (11) ◽  
pp. 914-916 ◽  
Author(s):  
SUMIKO TSUJI ◽  
YASUHIDE TONOGAI ◽  
YOSHIO ITO
Keyword(s):  
Gas Chromatography ◽  
Ethyl Acetate ◽  
Rapid Method ◽  
Rapid Determination ◽  
Milk Powder ◽  
Detection Limits ◽  
Edible Oil ◽  
Acid Condition

A simple and rapid method for determining mono-, di- and tri-isopropyl citrates in foods was developed. Isopropyl citrates in butter and milk powder were extracted with ethyl acetate under acid condition and in edible oil with hexane. The ethyl acetate containing isopropyl citrates was evaporated and the residue was taken up in hexane. The isopropyl citrates in hexane were extracted into acetonitrile. After evaporation of the solvent, isopropyl citrates were methylated with diazomethane, and they were determined by gas chromatography. Recoveries of mono-, di- and tri-isopropyl citrates from edible oil, butter and milk powder by this method were more than 92.9%, 95.7% and 94.8%, respectively. The detection limits of isopropyl citrates were 1 μg/g of sample.

scholarly journals Pattern recognition based on machine learning identifies oil adulteration and edible oil mixtures

2020 ◽  
Vol 11 (1) ◽  
Author(s):  
Kevin Lim ◽  
Kun Pan ◽  
Zhe Yu ◽  
Rong Hui Xiao
Keyword(s):  
Machine Learning ◽  
Fatty Acid ◽  
Fatty Acid Profile ◽  
Edible Oils ◽  
Edible Oil ◽  
Learning Method ◽  
Fair Price ◽  
Plant Oil ◽  
Oil Mixtures ◽  
Oil Type

Abstract Previous studies have shown that each edible oil type has its own characteristic fatty acid profile; however, no method has yet been described allowing the identification of oil types simply based on this characteristic. Moreover, the fatty acid profile of a specific oil type can be mimicked by a mixture of 2 or more oil types. This has led to fraudulent oil adulteration and intentional mislabeling of edible oils threatening food safety and endangering public health. Here, we present a machine learning method to uncover fatty acid patterns discriminative for ten different plant oil types and their intra-variability. We also describe a supervised end-to-end learning method that can be generalized to oil composition of any given mixtures. Trained on a large number of simulated oil mixtures, independent test dataset validation demonstrates that the model has a 50th percentile absolute error between 1.4–1.8% and a 90th percentile error of 4–5.4% for any 3-way mixtures of the ten oil types. The deep learning model can also be further refined with on-line training. Because oil-producing plants have diverse geographical origins and hence slightly varying fatty acid profiles, an online-training method provides also a way to capture useful knowledge presently unavailable. Our method allows the ability to control product quality, determining the fair price of purchased oils and in-turn allowing health-conscious consumers the future of accurate labeling.

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