PARTICLE INDUCED X-RAY EMISSION STUDIES OF ANTI-DIABETIC MEDICINAL PLANTS

2006 ◽  
Vol 16 (01n02) ◽  
pp. 47-54 ◽  
Author(s):  
D. K. RAY ◽  
P. K. NAYAK ◽  
S. R. PANDA ◽  
T. R. RAUTRAY ◽  
V. VIJAYAN ◽  
...  

Selected number of anti-diabetic medicinal plant leaves has been characterized by accelerator based particle-induced X-ray emission (PIXE) technique. Validity of the technique was assured by analyzing certified plant reference materials (CRMs). A large number of trace elements like Ti , V , Cr , Mn , Fe , Co , Ni , Cu , Zn , Rb , Sr and Pb are found to be present in these studied leaf samples with variable proportions. The concentrations of elements like K and Ca are quantified in percentage level whereas other elements are found to be in parts per million levels. Among the studied samples, the leaves of Methi are found to be containing maximum amount of trace elements.

2020 ◽  
Vol 323 (3) ◽  
pp. 1443-1449
Author(s):  
Shashank Singh ◽  
Mumtaz Oswal ◽  
B. R. Behera ◽  
Ashok Kumar ◽  
S. Santra ◽  
...  

2014 ◽  
Vol 20 (3) ◽  
pp. 778-780
Author(s):  
Santosh S. Teerthe ◽  
Mohanraj Pattar ◽  
Basavaraj Kerur ◽  
Nihar R. Mahapatra ◽  
Seba Das ◽  
...  

2021 ◽  
Vol 11 (4) ◽  
pp. 2678-2702
Author(s):  
Prabhat Kumar Thella ◽  
V. Ulagamuthalvi

Plants are essential for human life. They help people breathe, provide food, clothing, medicine, and fuel, and also safeguard the environment. Plants can be loaded with medicinal properties and possess active substances that can be used for medical purposes. Several beneficial plant species are disappearing as a result of such factors as global warming, increasing population, professional secrecy, insufficient government support for research efforts, and the lack of public understanding of medicinal plants. It takes time to identify medicinal plants, therefore use professionals to assist you. For better benefit to humankind, a new method to identify and classify therapeutic plants must be developed. Because of the advanced technology in our day and age, medicinal plant identification and classification is an important subject of research in the field of image processing. Feature extraction and classification are the most important components in the process of identifying medicinal plants and classifying them. This research examines methods used in identifying and classifying medicinal plants as well as the medicinal properties of plants that have become increasingly relevant in the recent past. There is a vital importance placed on identifying the suitable medicinal plants in the creation of an ayurvedic medication. In order to identify a medicinal plant, look for these three features: leaf form, colour, and texture. From the both sides of the leaf, there are both deterministic and nondeterministic factors that identify the species. In this study, a combination of traits is designed that is said to identify a single tree the most effectively while minimising errors. The database is made up of scanned photos of both the front and back side of ayurvedic medicinal plant leaves, which is an ayurvedic medicinal plant identification database. In leaf identification, rates as high as 99% have been found when tested on a wide range of classifiers. Extending the prior work by using dried leaves and feature vectors results in identification using which identification rates of 94% are possible. Identification of the correct medicinal plants that goes in to the preparation of a medicine is very important in ayurvedic medicinal industry. The main features required to identify a medicinal plant is its leaf shape, colour and texture. Colour and texture from both sides of the leaf contain deterministic parameters to identify the species. This paper explores feature vectors from both the front and back side of a green leaf along with morphological features to arrive at a unique optimum combination of features that maximizes the identification rate. A database of medicinal plant leaves is created from scanned images of front and back side of leaves of commonly used ayurvedic medicinal plants. The leaves are classified based on the unique feature combination. Identification rates up to 99% have been obtained when tested over a wide spectrum of classifiers. The above work has been extended to include identification by dry leaves and a combination of feature vectors is obtained, using which, identification rates exceeding 94% have been achieved.


Author(s):  
RAIMUNDO JIMENEZ-BALLESTA ◽  
Sandra Bravo ◽  
Caridad Pérez de los Reyes ◽  
JOSE A. AMOROS ◽  
Jesus Garcia-Pradas ◽  
...  

The study reported here concerns the geochemical distributions of macro- and trace elements (including potentially toxic elements, PTEs) in the vineyard soils of Alcubillas, which is one of the oldest, albeit not world-reknowned, wine-growing areas in La Mancha (Central Spain). Soil and leaf samples were analyzed by X-ray fluorescence spectrometry to ascertain the levels of various elements in the soil and the plant. The potential toxicity of the elements was assessed with regard to the development of the vineyard. Despite the fact that fertilizers and pesticides are employed in the vineyards in this area, the results showed that the levels of trace elements in the soil samples did not exceed the reference values according the pedogeochemical values for the region and Spain. This finding suggests that the study area is not polluted. The Biological Absortion Coefficient (BAC) was calculated to assess the assimilation of various elements from the soil to the leaves, and differences were found in the element absorption capacity of the vines. Some elements were not taken up by Vitis vinifera despite elements like Zr and Rb being present in relatively high concentrations in the soil. The production in these soils of grapes and wine does not represent a threat to human health or the ecosystem, because the farmers in this area are extremely careful to preserve the environment and they only farm to achieve moderate yields of grapes per hectare.


Author(s):  
TEERTHE SS ◽  
KERUR BR

Objective: The essential multielemental analysis was carried out in nano- and microscale surface morphology of two useful selected species of Myrtaceae family medicinal plants such as Eucalyptus and Guava using “field emission scanning electron microscope”–“energy dispersive X-ray spectroscopy” (FESEM-EDS). To understand the elemental analysis of medicinal plant used in Bidar, Gulbarga/Kalaburagi and Yadgir districts of the Northeast Karnataka region. Methods: In the present investigation, Myrtaceae family’s medicinal plants selected. The analysis of the samples were thorough nano-micro photograph obtained by using FESEM and specific weight percent of elemental concentration analyzed by EDX/EDS. Results: The elemental concentrations such as C, O, magnesium, Al, Si, S, Cl, K, Ca, Mn, Fe, Cu, and Zn were estimated in all the collected medicinal plants and found to be within the World Health Organization (WHO’s) recommended values. FESEM morphology indicates that fine plane irregularly shaped particles, with size an average diameter 200 nm–1 μm, are found in both plants. Conclusion: The Indian Traditional Medicinal Plants have been used as a potential source for general and therapeutic medicinal purposes, including as a home remedy, Ayurvedic, and herbal drugs for the treatment of different types of human diseases. The WHO established maximum permissible limits for the consumption of major, minor, and trace elements to ensure the safe uses of medicinal plants as a drug material so as to cure the diseases. The present investigation suggests that the collected medicinal plants have good alignments of secondary metabolites, functional groups, and intake of trace elements, which are useful for treatment and preparation of new Ayurvedic, herbal, and pharmaceutical drug, pellets of very small size for alignment of different diseases.


2007 ◽  
Vol 17 (03n04) ◽  
pp. 169-176 ◽  
Author(s):  
K. NOMITA DEVI ◽  
H. NANDAKUMAR SARMA ◽  
SANJIV KUMAR

Medicinal herbs have been used from antiquity by humanity. This paper discusses the elemental composition and concentration of ten Indian medicinal plants investigated by particle induced X-ray emission (PIXE) technique. The accuracy and precision of the technique were assured by analyzing three Certified Standard Reference Materials-cabbage (GBW 08504, China), wheat flour (NIST-8436) and bovine liver (NIST-1577b). The elements K , Ca , Mn , Fe , Cu and Zn were found to be present in all the samples in varying concentrations. No toxic heavy metals such as As , Pb and Hg were detected in the studied plants. The range of the elemental concentrations in dry weight has been found to vary from 4.69 × 104 mg/kg to 1.81 mg/kg in the plants. The results also show that these plants contain elements of vital importance in man's metabolism and that are needed for growth and developments, prevention and healing of diseases.


1992 ◽  
Vol 02 (04) ◽  
pp. 651-664 ◽  
Author(s):  
V. Valkovic ◽  
R. Zeisler ◽  
G. Bernasconi ◽  
P.R. Danesi

Direct application of many existing reference materials in micro-analytical procedures such as energy dispersive x-ray fluorescence (EDXRF), particle induced x-ray emission spectroscopy (PIXE) and ion probe techniques for the determination of trace elements is often impossible or difficult because: 1) other constituents present in large amounts interfere with the determination; 2) trace components are not sufficiently homogeneously distributed in the sample. Therefore specific natural-matrix reference materials containing very low levels of trace elements and having high degree of homogeneity are required for many micro-analytical procedures. In this report, selection of the types of environmental and biological materials which are suitable for micro-analytical techniques will be discussed.


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