Determination of unifloral honey volatiles from Centaurea iberica and Zizyphus spina-christi by Solid-Phase Microextraction and Gas Chromatography-Mass Spectrometry

The volatiles of two different unifloral Palestinian honeys from botanical species Centaurea iberica and Zizyphus spina-christi have been investigated for the first time. They were isolated, identified, and quantitatively analyzed using Headspace Solid-Phase Microextraction and Gas Chromatography Mass Spectrometry (HS-SPME-GCMS) methodology. The resulted total ion current (TIC) chromatographic profiles reflected the uniqueness of each type of honey and therefore the proposed procedure can be used to characterize each kind of honey by revealing the absence or presence of certain volatile constituents. A total of 18 compounds were seen in Centaurea iberica honey with phenylacetaldehyde, phenylethylalcohol, 2-ethyl hexanoic acid, 2,4,6-trimethylphenol and nonanoic acid as the principal components, whereas 25 compounds were seen in Zizyphus spinachristi honey with benzaldehyde, phenylacetaldehyde, phenylethylalcohol, benzeneacetonitrile, 2-ethyl hexanoic acid, octanoic acid, 2-methoxy-4-(1-propanol)-6-acetate phenol, nonanoic acid, decanoic acid, 1-hydroxy 2,4,6-trimethylbenzene, and 5-hydroxymethyl- 2-furaldehyde as the principal constituents. Ziziphus spina-christi honey was found to have two unequivocal potential markers: phenylacetonitrile and 5-hydroxymethyl-2-furancarboxaldehyde, while Centaurea Italica honey has only one representative floral origin marker compound: the 2,4,6-trimethylphenol

Potential Antimalarial Activity from Alcoholic Extracts of Wild Salvia palaestina Leaves

Malaria threatens the lives of more than one third of the world’s population; it is a major cause of human deaths. As a result of the emergence of resistant strains of Plasmodium falciparum to common antimalarial drugs, the search for new antimalarial drugs is urgently needed. Hemozoin synthesis is an indispensable process for the parasite survival and is the target of action for several known antimalarial drugs. Sage, Salvia palaestina, is an aromatic Mediterranean plant. Its leaves have been used over centuries in Palestinian traditional medicine and are now being investigated for potential antimalarial activity. This study reveals the antimalarial activity of crude and HPLC separated fractions tested using two methods; the inhibition of ferriprotoporphyrin IX (FP) biomineralization: semi-quantitative micro-assay used by Deharo and a previously self-developed quantitative in vitro method. Reversed phase preparative liquid chromatography coupled to Photo Diode Array (PDA) detector was used to isolate and enrich eight fractions. Three fractions showed promising antimalarial activity. The crude alcoholic extract of sage leaves seems to have the potential of an antimalarial drug; it prevents β-hematin formation with an efficiency of about 72% when compared to the standard Chloroquine which gave 93% at comparable concentrations of chloroquine and extract.The authors are grateful to the European Commission FP7 Programme for their financial support through DEBPAL2 project. We are grateful to Prof. Pierre Lutgen for his helpful discussions and insightful comments

Effects of a saponin fraction extracted from Trigonella foenum-graecum L. and two commercially available saponins on sex ratio and gonad histology of Nile tilapa fry, Oreochromis niloticus (L.)

Over three million tonnes (t) of tilapia, mostly Nile tilapia (Oreochromis niloticus, L.), are produced annually making it the second most abundantly produced freshwater fish (FAO, 2010). Tilapia are mouthbreeders that often produce stunted populations under pond conditions; one means of prevention is to produce all-male fish with the additional advantage that males usually grow faster than females. All-male populations can be achieved by supplementing feed with androgens such as 17-α-Methyltestosterone (MT) during days 10–25 post-hatch (Pandian and Sheela, 1995). However, MT is considered to be carcinogenic (Velazquez and Alter, 2004), and Hulak et al. (2008) also showed that effluents of systems in which carp were fed diets containing MT caused masculinization of female fish. Furthermore, in aquaculture the application of hormones to fish destined for human consumption is prohibited in the European Union under directive 96/22/EC, article 5, which also prohibits import of animal products produced with hormones. Kwon et al. (2000) showed that Fadrozole, a non-steroidal compound, caused masculinization in tilapia by inhibiting aromatase, which is the enzyme responsible for the conversion of endogenous androgens to estrogens. Steinbronn et al. (2004) were able to show that a dose of 2000 ppm Quillaja saponins (Sigma S-2149) inhibited reproduction of tilapia after dietary application for 32 days to first-feeding fry, suggesting saponins as a possible alternative to MT. These secondary plant compounds consist of either a steroid or triterpenoid basic structure (aglycone or sapogenin) plus one or more sugar side chains (Francis et al., 2002a). In a previous experiment a saponin fraction from the soapbark tree (Quillaja saponaria M.) inhibited aromatase in vitro (Golan et al., 2008). The fenugreek plant (Trigonella foenum-graecum L), widely cultivated in the Middle East and Asia, also has a high saponin content. The experiment was therefore conducted to test whether saponin fractions from Q. saponaria and from T. foenum-graecum were able to influence the sex ratio and gonad histology of Nile tilapia

Classification of Apple Diseases Using Deep Learning

Abstract: In this study, we explore the challenge of identifying and preventing diseases in apple trees, which is a popular activity but can be difficult due to the susceptibility of these trees to various diseases. To address this challenge, we propose the use of Convolutional Neural Networks, which have proven effective in automatically detecting plant diseases. To validate our approach, we use images of apple leaves, including Apple Rot Leaves, Leaf Blotch, Healthy Leaves, and Scab Leaves collected from Kaggle which is part from the Plant Village dataset. We generate a comprehensive training dataset using techniques such as image filtering, compression, and generation. Our model achieves impressive accuracy scores for all classes, with an overall accuracy of 99.93% on a dataset of 10,000 labeled images

From medicinal plant extracts to defined chemical compounds targeting the histamine H4 receptor: Curcuma longa in the treatment of inflammation

Objectives The aim was to evaluate the activity of seven medicinal, anti-inflammatory plants at the hH4R with focus on defined chemical compounds from Curcuma longa. Materials Activities were analyzed with membrane preparations from Sf9 cells, transiently expressing the hH4R, Gai2 and Gb1c2 subunits. Methods From the methanolic extract of C. longa curcumin (1), demethoxycurcumin (2) and bis(4-hydroxycinnamoyl) methane (3) were isolated, purified with HPLC (elution-time 10.20, 9.66, 9.20 min, respectively) and together with six additional extracts, were characterized via radioligand binding studies at the hH4R. Results Compounds from C. longa were the most potent ligands at the hH4R. They exhibited estimated Ki values of 4.26–6.26 lM (1.57–2.31 lg/mL) (1); 6.66––8.97 lM (2.26–3.04 lg/mL) (2) and 10.24–14.57 lM (3.16–4.49 lg/ mL) (3) (95% CI). The estimated Ki value of the crude extract of curcumawas 0.50–0.81 lg/mL. Fractionated curcumin and the crude extract surpassed the effect of pure curcumin with a Ki value of 5.54 lMor2.04 lg/mL[95%CI (4.47–6.86 lM), (1.65–2.53 lg/mL)]. Conclusion Within this study, defined compounds of C. longa were recognized as potential ligands and reasonable lead structures at the hH4R. The mode of anti-inflammatory action of curcumin was further elucidated and the role of extracts in traditional phytomedicine was strengthened

SEPARATION OF SULFUR-CONTAINING FATTY ACIDS FROM GARLIC, ALLIUM SATIVUM, USING SERIALLY COUPLED CAPILLARY COLUMNS WITH CONSECUTIVE NONPOLAR, SEMIPOLAR, AND POLAR STATIONARY PHASES

SUMMARY A GC-MS method with serially coupled capillary columns containing consecutive nonpolar, semipolar, and polar stationary phases has been used for determination of fatty acids in garlic (Allium sativum). Saturated (14:0, 15:0, 16:0, and 18:0), unsaturated (7-16:1, 7-18:1, 9-18:1, 9,12-18:2, 9,12,15-18:3), and unusual cyclic sulfur-containing fatty acids in garlic were identified by GC-MS

Effects of saponin fractions from fenugreek and the soap bark tree in the diet on performance of Nile tilapia, Oreochromis niloticus (L.)

Saponins are generally regarded as anti-nutritional factors in aquaculture diets. However, previous experiments have shown that low dietary levels of saponins derived from Quillaja saponaria Molina do have growth promoting effects on common carp and Nile tilapia. Based on these experiments, we conducted an experiment in which we fed eluated saponin fractions from Q. saponaria and Trigonella foenum-graecum L. (fenugreek) to Nile tilapia in a respirometric system allowing for continuous measurement of oxygen consumption. Saponins were eluated with consecutive methanol/water concentrations (v/v, 40/60, 60/40, 80/20) resulting in three different eluates for each plant. Fractions chosen were the 80% methanol eluate from Q. saponaria (80QS) and all three eluates from T. foenum-graecum (40TS, 60TS and 80TS). Three fish each were fed with low levels (150 mg kg-1 diet) of saponins in the diet and a control diet without saponins. Growth, feed and nutrient utilization, proximate composition, oxygen consumption and metabolic performance were evaluated. The fish grew between 224% (40TS) and 266% (Control) over the eight week period. Feed conversion ratios were between 0.94 (80TS) and 1.15 (40TS) and protein efficiency ratios between 2.54 (80TS) and 2.16 (40TS). Due to low sample sizes, no statistical differences were found between control fish and saponin fed fish. However, numerically one of the tested saponin fractions (40TS) showed inferior performance (Table 1). It is concluded that the tested saponins in the tested concentrations are no potential growth promoter for Nile tilapia. On the contrary, one fraction appears to be a growth inhibitor

A Proposed Expert System for Passion Fruit Diseases

Plant diseases are numerous in the world of agriculture. These diseases cause a lot of trouble to most farmers. Among these common diseases, we single out the diseases that affect the Passion fruit, which is affected by about seven diseases, with different symptoms for each disease. Today, technology is facilitating human life in all areas of life, and among these facilities are expert system, a computer program that uses artificial-intelligence methods to solve problems within a specialized domain that ordinarily requires human expertise. The first expert system was developed in 1965 by Edward Feigen Baum and Joshua Lederberg of Stanford University in California, U.S. Dendral, as their expert system was later known, was designed to analyses chemical compounds. Expert systems now have commercial applications in fields as diverse as medical diagnosis, petroleum engineering, and financial investing and other areas, and with reference to expert systems and their importance to humans, an integrated expert system has been created in the agricultural field that diagnoses Passion diseases using CLIPS Expert System language. The system was used to design and implement the proposed expert system. The system facilitates the diagnosis of Passion -related diseases. There is no doubt that this expert system will help farmers and those involved in the agricultural field to diagnose Passion -related diseases. Objectives: is to help farmers diagnose Passion diseases in the correct way and how to treat these diseases. Method: The system contains a program project that diagnoses 7 diseases that affect Passion and the seven diseases are: Brown spot, Septoria spot, Root and crown rot, Fusarium wilt, Anthracnose, Woodiness virus, Scab. Results: The expert system was evaluated by farmers and praised for helping them with it. Conclusion: The expert system for diagnosing Passion diseases is effective and usable

A Knowledge Based System for Cucumber Diseases Diagnosis

The cucumber is a creeping vine that roots in the ground and grows up trellises or other supporting frames, wrapping around supports with thin, spiraling tendrils. The plant may also root in a soilless medium, whereby it will sprawl along the ground in lieu of a supporting structure. The vine has large leaves that form a canopy over the fruits. Among these common diseases, we single out the diseases that affect the cucumber, which is affected by about 22 diseases, with different symptoms for each disease. Today, technology is facilitating human life in all areas of life, and among these facilities are expert systems that have become an integral part of human life as they contain several systems and areas, for example: Artificial Intelligence (AI), which refers to systems or devices that simulate Human intelligence to perform tasks that can improve itself based on some human information, and other areas, and with reference to expert systems and their importance to humans, an integrated expert system has been created in the agricultural field that diagnoses cucumber diseases using CLIPS Expert System language Delphi language. The system was used to design and implement the proposed expert system. The system facilitates the diagnosis of cucumber-related diseases. There is no doubt that this expert system will help farmers and those involved in the agricultural field to diagnose cucumber-related diseases. Objectives: is to help farmers diagnose pear diseases in the correct way and how to treat these diseases. Method: The system contains a program that diagnoses 22 diseases that affect cucumber. Results: The expert system was evaluated by farmers and praised for helping them with it. Conclusion: The expert system for diagnosing cucumber diseases is effective and usable