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Dive into the research topics where Muhammad H. Alu’datt is active.

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Featured researches published by Muhammad H. Alu’datt.


Food Chemistry | 2017

A review of phenolic compounds in oil-bearing plants: Distribution, identification and occurrence of phenolic compounds.

Muhammad H. Alu’datt; Taha Rababah; Mohammad N. Alhamad; Majdi A. Al-Mahasneh; Ali Almajwal; Sana Gammoh; Khalil Ereifej; Ayman Johargy; Inteaz Alli

Over the last two decades, separation, identification and measurement of the total and individual content of phenolic compounds has been widely investigated. Recently, the presence of a wide range of phenolic compounds in oil-bearing plants has been shown to contribute to their therapeutic properties, including anti-cancer, anti-viral, anti-oxidant, hypoglycemic, hypo-lipidemic, and anti-inflammatory activities. Phenolics in oil-bearing plants are now recognized as important minor food components due to several organoleptic and health properties, and they are used as food or sources of food ingredients. Variations in the content of phenolics in oil-bearing plants have largely been attributed to several factors, including the cultivation, time of harvest and soil types. A number of authors have suggested that the presence phenolics in extracted proteins, carbohydrates and oils may contribute to objectionable off flavors The objective of this study was to review the distribution, identification and occurrence of free and bound phenolic compounds in oil-bearing plants.


Natural Product Research | 2011

Optimisation and characterisation of various extraction conditions of phenolic compounds and antioxidant activity in olive seeds

Muhammad H. Alu’datt; Inteaz Alli; Khalil Ereifej; Mohammad N. Alhamad; Ahmad Alsaad; Taha Rababeh

This study was conducted to optimise the extraction conditions of phenolic compounds to evaluate antioxidant extraction parameters and to identify the major free and bound phenolic compounds in olive seeds. The results obtained using methanol as an extraction solvent for olive seeds indicated that the optimised total phenolic content and antioxidant activity were obtained at an extraction time of 12 h, an extraction temperature of 70°C and an extraction cycle of three stages. The correlation coefficient between total phenolic compounds and antioxidant activities was positive (R 2 = 0.83). The major finding is that the predominant phenolic compounds in olive seeds were present in free form. However, a small percentage of the bound phenolic compounds was found in olive seeds compared to that of the free phenolic compounds. This study recommends that olive seeds with optimised extraction conditions (i.e. optimised correlation between phenolic compound contents and antioxidant activities) can be used as potential food additive candidates in functional, nutraceutical and pharmaceutical industries.


Journal of Food Science | 2012

Evaluation of the Nutraceutical, Physiochemical and Sensory Properties of Raisin Jam

Taha Rababah; Muhammad H. Alu’datt; Ali Almajwal; Susan Brewer; Hao Feng; Majdi A. Al-Mahasneh; Khalil Ereifej; Wade Yang

This objective of this study was to evaluate the effect of jam processing of grape and raisin on the nutraceutical, physiochemical, and sensory properties. The results showed that fresh grape had the highest antioxidant activity, and total phenolic and anthocyanin content followed by grape jam, raisin, and raisin jam, respectively. No significant differences existed in soluble solids, pH, or firmness between grape and raisin jams. No significant differences in color parameters, ΔE, and chroma existed between grape and raisin jam. Descriptive sensory results showed minor differences in some sensory attributes between grape and raisin jams. In terms of consumer evaluation (9-point verbal hedonic scale and a 5-point just-about-right scale) the jams made from local raisins were parity with those from grape, despite small differences especially in whole raisin jam. Although raisin and other dried products are not traditionally considered as a raw material for jam processing, they have the same potential as fresh fruits.


Journal of Agricultural and Food Chemistry | 2014

Investigation of Natural Lipid–Phenolic Interactions on Biological Properties of Virgin Olive Oil

Muhammad H. Alu’datt; Taha Rababah; Khalil Ereifej; Sana Gammoh; Mohammad N. Alhamad; Nizar M. Mhaidat; Stan Kubow; Ayman Johargy; Ola J. Alnaiemi

There is limited knowledge regarding the impact of naturally occurring lipid-phenolic interactions on the biological properties of phenolics in virgin olive oil. Free and bound phenolics were isolated via sequential methanolic extraction at 30 and 60 °C, and were identified and quantified using reversed phase high performance liquid chromatography, liquid chromatography coupled to tandem mass spectrometry (LC-MS/MS), and gas chromatography. Decreased oleic acid concentrations and increased concentrations of palmitoleic acid, stearic, linoleic, and linolenic acids were observed in virgin olive oil after removal of free and bound lipid phenolic compounds. The presence of p-hydroxybenzoic acid and tyrosol bound to glycerides was determined via LC-MS/MS, which indicates natural lipid-phenolic interactions in virgin olive oil. Both free and lipid bound phenolic extracts exerted antiproliferative activities against the CRC1 and CRC5 colorectal cancer cell lines. The present work indicates that naturally occurring lipid-phenolic interactions can affect the biological properties of phenolics in virgin olive oil.


Food Chemistry | 2014

Effect of phenolic compound removal on rheological, thermal and physico-chemical properties of soybean and flaxseed proteins

Muhammad H. Alu’datt; Taha Rababah; Inteaz Alli

This study aimed to investigate the effect of removal of phenolics on physico-chemical properties of protein isolates obtained from flaxseed and soybean. Proteins were isolated (I) from full-fat (F) and defatted (D) soybean (s) and flaxseed (f) using isoelectric precipitation. Free and bound phenolics were removed from the protein isolates. Thermal and gelation properties of protein isolates before and after removal of phenolics were investigated. Protein isolates from defatted soybean after removal of free and bound phenolics were showed a decrease in thermal stability of glycinin. For protein isolate from full-fat soybean, the results showed the removal of free phenolics increase thermal stability of glycinin with increase water holding capacity (WHC) and produce more viscous and less elastic gels as compared to protein isolate after removal of bound phenolics. Removal of free and bound phenolics from flaxseed protein isolates decrease thermal stability, WHC and viscoelastic properties as compared to protein isolate after removal of free phenolics.


Food Engineering Reviews | 2016

Application of Hybrid Neural Fuzzy System (ANFIS) in Food Processing and Technology

Majdi A. Al-Mahasneh; Mohannad Aljarrah; Taha Rababah; Muhammad H. Alu’datt

Abstract Adaptive neuro-fuzzy inference system (ANFIS) has emerged as a synergic hybrid intelligent system. It combines the human-like reasoning style of fuzzy logic system (FLS) with the learning and computational capabilities of artificial neural networks (ANNs). ANFIS has several applications related to food processing and technology. The first part of this review provides a brief overview and discussion of ANFIS including: the general structure and topology, computational considerations, model development and testing. In the second part, two detailed examples are explained to demonstrate the capabilities of ANFIS in comparison with other modeling methods, followed by a brief but comprehensive discussion of ANFIS applications in different food processing and technology areas. The applications are divided into five main categories: food drying, prediction of food properties, microbial growth and thermal process modeling, applications in food quality control and food rheology. In all applications, the performance of ANFIS is compared to other methods such as ANNs, FLS and multiple regressions when available. It is concluded that, in most applications, ANFIS outperforms other modeling tools such as ANNs, FIS or multiple linear regression. Finally, some application guidelines, advantages and disadvantages of ANFIS are discussed.


International Journal of Food Properties | 2016

Optimization of Phenolic Content, Antioxidant, and Inhibitory Activities of α-Glucosidase and Angiotensin Converting (AC) Enzymes from Zingiber officinale Z.

Muhammad H. Alu’datt; Taha M. Rababah; Mohammad N. Alhamad; Sana Gammoh; Khalil Ereifej; Ayman Johargy; Stan Kubow; Ali Almajwal; Mervat Rawashdeh

The optimum extraction conditions of phenolic compounds from ginger were evaluated with respect to antioxidant activity and angiotensin converting enzyme and α-glucosidase inhibitory activities. Free phenolics were extracted under conditions that varied according to extraction time, temperature, and solvent type (water, acetone, and methanol). Acid and base hydrolysis reactions were used to obtain bound phenolic compounds from ginger. The results showed that the type of solvent used and the temperature and time of extraction needed for maximal total phenolic content, antioxidant activity, and angiotensin converting enzyme inhibitory activity differed greatly from solvent conditions and showed the greatest α-glucosidase inhibitory activity. The predominant free phenolics in the methanol extracts included diosmin, thymol, and carvacrol, which varied greatly according to solvent extraction conditions (i.e., time and temperature). Diosmin was the predominant bound phenolic compound of the methanol extracts. The present study findings indicate that differing solvent extraction protocols involving extraction time and temperature for ginger need to be explored to generate specific optimal bioactivities of the extracts, which are related to the pattern of predominant phenolics in those extracts.


Natural Product Research | 2012

Seasonal variation in essential oil yield and composition from Thymus vulgaris L. during different growth stages in the south of Jordan

Mohammad S. Abu-Darwish; Muhammad H. Alu’datt; Abdel Rahman Al-Tawaha; Khalil Ereifej; Ali Almajwal; Nidal Odat; Wesam Al Khateeb

The effect of plant space and time of harvesting on yield and quality of Thymus vulgaris was evaluated in Jordan. Thyme was cultivated in rows of 50 cm apart with inter-row spacing of 15, 30 or 45 cm and was grown at various development stages. Plants were harvested during different growth stages including vegetation, beginning of blooming, full blooming and fruit maturation. Results indicated that oil yields of thyme were affected by growth stage and inter-row spacing. The maximum oil yields was obtained by harvesting at the early growth stage, which was found superior to oil yield corresponding to the later stages of collection. With 45 cm inter-row spacing, the maximum oil yield was recorded when the samples were collected at growth stage. Indicated results showed that the chemical composition during various growth stages was characterised by high percentage of carvacrol and its corresponding monoterpenic hydrocarbon precursors ρ-cymene and γ-terpinene, and ether 1,4-cineol.


Journal of Food Science and Technology-mysore | 2017

Preparation of mayonnaise from extracted plant protein isolates of chickpea, broad bean and lupin flour: chemical, physiochemical, nutritional and therapeutic properties

Muhammad H. Alu’datt; Taha Rababah; Mohammad N. Alhamad; Khalil Ereifej; Sana Gammoh; Stan Kubow; Deia Tawalbeh

Abstract This investigation was aimed to study the molecular, physico-chemical, and biofunctional health properties of mayonnaise prepared using proteins isolated from broad bean, lupin and chickpea flour. Proteins were isolated from chickpea (CPPI), broad bean (BBPI) and lupin (LPPI) flour and assessed for molecular, physico-chemical, biofunctional, and protein yield. The highest water holding capacity, foaming stability, emulsion stability as well as protein yield and protein content of 44.0, 70.8, 37.5, 81.2, and 36.4, respectively were observed for BBPI. Mayonnaise prepared from the isolated plant proteins was evaluated for chemical composition, molecular properties of the protein subunits, and potential nutraceutical properties. Preparation of mayonnaise using BBPI or a mixture of either BBPI and CPPI or BBPI and LPPI showed superior values for lightness and lowered values for redness. Mayonnaise prepared from either BBPI or the BBPI and CPPI mixture showed the best antioxidant, antihypertensive and antidiabetic properties. The present study results indicated that the use of the BBPI and CPPI mixture can be a novel technological approach for the development of a mayonnaise with improved health promoting properties.


Journal of Essential Oil Research | 2017

Optimization, characterization and biological properties of phenolic compounds extracted from Rosmarinus officinalis

Muhammad H. Alu’datt; Taha M. Rababah; Mohammad N. Alhamad; Abdul Latief A. Al-Ghzawi; Khalil Ereifej; Sana Gammoh; Ali Almajwal; Neveen M. Hussein; Mervat Raweshadeh

Abstract This study evaluated the optimal conditions for the extraction of phenolics from Rosmarinus officinalis. Phenolic extracts were obtained under extraction conditions in which several parameters were varied (time, temperature, solvents and free and bound forms). The results revealed that the optimum conditions for maximum phenolic content extraction and antioxidant activity were achieved using a mixture of methanol and water at 60 °C/1 h. However, the optimal extraction conditions for phenolics with the highest hypertensive (ACE) or diabetic (α-amylase and α-glucosidase) enzyme inhibitory activity were observed using a mixture of acetone and water for extraction at 40 °C/6 h or methanol at 50 °C/8 h, respectively. The results indicated that the free and bound phenolic compounds had antioxidant, antihypertensive and antidiabetic properties. The predominant free phenolic compound identified in rosemary was thymol, while chlorogenic and caffeic acids were the predominant bound phenolic compounds.

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Khalil Ereifej

Jordan University of Science and Technology

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Mohammad N. Alhamad

Jordan University of Science and Technology

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Taha Rababah

Jordan University of Science and Technology

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Sana Gammoh

Jordan University of Science and Technology

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Taha M. Rababah

Jordan University of Science and Technology

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Majdi A. Al-Mahasneh

Jordan University of Science and Technology

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