Nutritional Profiling of Wild Edible Plants: Quantification of Macronutrients and Minerals via Energy Dispersive X-ray (EDX) Fluorescence Spectroscopy

Abstract The wild edible plants offer a valuable resource for food and human nutrition. The current study aimed to analyze the proximate composition and ethno-medicinal profiles of twenty selected wild edible plants from the Malakand District, Pakistan. The proximate composition (moisture, ash, crud...

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Main Authors: Muhammad Ibrahim, Naveed Akhtar, Asghar Khan, Sara, Yasir Anwar, Ling Shing Wong, Vetriselvan Subramaniyan, Vinoth Kumarasamy, Abdur Rauf, Yogesh Kumar Ahlawat, Nisha Sharma, Luciano de Almeida Lopes
Format: Article
Language:English
Published: Instituto Internacional de Ecologia 2024-12-01
Series:Brazilian Journal of Biology
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Online Access:http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842024000101338&lng=en&tlng=en
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author Muhammad Ibrahim
Naveed Akhtar
Asghar Khan
Sara
Yasir Anwar
Ling Shing Wong
Vetriselvan Subramaniyan
Vinoth Kumarasamy
Abdur Rauf
Yogesh Kumar Ahlawat
Nisha Sharma
Luciano de Almeida Lopes
author_facet Muhammad Ibrahim
Naveed Akhtar
Asghar Khan
Sara
Yasir Anwar
Ling Shing Wong
Vetriselvan Subramaniyan
Vinoth Kumarasamy
Abdur Rauf
Yogesh Kumar Ahlawat
Nisha Sharma
Luciano de Almeida Lopes
author_sort Muhammad Ibrahim
collection DOAJ
description Abstract The wild edible plants offer a valuable resource for food and human nutrition. The current study aimed to analyze the proximate composition and ethno-medicinal profiles of twenty selected wild edible plants from the Malakand District, Pakistan. The proximate composition (moisture, ash, crude protein, crude fat, and dietary fiber) was analyzed following Association of Official Agricultural Chemists (AOAC) protocols. Ethno-medicinal profiles were obtained through semi-structured interviews with local informants. Mineral elements were analyzed using Energy Dispersive X-ray Fluorescence (EDX) Spectroscopy. The normalized variation matrix and centered log ratio (CLR) biplot were used to assess linear associations between nutritional components. The results revealed significant variations in the nutritional components and mineral contents among the studied plant species. Higher crude carbohydrates (64.48%) were scrutinized in Ziziphus jujuba, followed by proteins (19.90%) in leaves of Solanum nigrum, fiber (19.50%) in Caralluma tuberculata and fats (6.12%) in Mentha spicata. A maximum energy value of 332.34 Kcal/100g was calculated for leaves of Solanum nigrum. The concentrations of carbon (C) in Mentha longifolia were (60.20%), followed by oxygen (46.06%) in Ziziphus jujuba, potassium (10.80%) in Rumex dentatusand nitrogen (7.98%) in Nasturtium officinale. The centered log ratio biplot confirms strong relationships between moisture, energy, carbohydrates, fibers, and ash content, while protein and fat concentrations exhibit a separate pattern. The findings provide valuable insights into the compositional data analysis of edible plant species, suggesting interdependencies among carbohydrate, energy, moisture content, and fibers. Additionally, the results of our current study showed that all of these selected wild edible plants have the potential to provide humans with important macronutrients and elements.
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publisher Instituto Internacional de Ecologia
record_format Article
series Brazilian Journal of Biology
spelling doaj-art-c3c7ba63dd0f4db19e0a1c72fcc439bd2025-01-07T07:39:25ZengInstituto Internacional de EcologiaBrazilian Journal of Biology1678-43752024-12-018410.1590/1519-6984.287349Nutritional Profiling of Wild Edible Plants: Quantification of Macronutrients and Minerals via Energy Dispersive X-ray (EDX) Fluorescence SpectroscopyMuhammad IbrahimNaveed AkhtarAsghar Khanhttps://orcid.org/0000-0002-7098-627X SaraYasir Anwarhttps://orcid.org/0000-0003-3588-7361Ling Shing Wonghttps://orcid.org/0000-0002-5869-0804Vetriselvan Subramaniyanhttps://orcid.org/0000-0002-9629-9494Vinoth Kumarasamyhttps://orcid.org/0000-0002-8895-1796Abdur Raufhttps://orcid.org/0000-0003-2429-5491Yogesh Kumar Ahlawathttps://orcid.org/0000-0003-0189-6972Nisha Sharmahttps://orcid.org/0000-0003-3991-0768Luciano de Almeida LopesAbstract The wild edible plants offer a valuable resource for food and human nutrition. The current study aimed to analyze the proximate composition and ethno-medicinal profiles of twenty selected wild edible plants from the Malakand District, Pakistan. The proximate composition (moisture, ash, crude protein, crude fat, and dietary fiber) was analyzed following Association of Official Agricultural Chemists (AOAC) protocols. Ethno-medicinal profiles were obtained through semi-structured interviews with local informants. Mineral elements were analyzed using Energy Dispersive X-ray Fluorescence (EDX) Spectroscopy. The normalized variation matrix and centered log ratio (CLR) biplot were used to assess linear associations between nutritional components. The results revealed significant variations in the nutritional components and mineral contents among the studied plant species. Higher crude carbohydrates (64.48%) were scrutinized in Ziziphus jujuba, followed by proteins (19.90%) in leaves of Solanum nigrum, fiber (19.50%) in Caralluma tuberculata and fats (6.12%) in Mentha spicata. A maximum energy value of 332.34 Kcal/100g was calculated for leaves of Solanum nigrum. The concentrations of carbon (C) in Mentha longifolia were (60.20%), followed by oxygen (46.06%) in Ziziphus jujuba, potassium (10.80%) in Rumex dentatusand nitrogen (7.98%) in Nasturtium officinale. The centered log ratio biplot confirms strong relationships between moisture, energy, carbohydrates, fibers, and ash content, while protein and fat concentrations exhibit a separate pattern. The findings provide valuable insights into the compositional data analysis of edible plant species, suggesting interdependencies among carbohydrate, energy, moisture content, and fibers. Additionally, the results of our current study showed that all of these selected wild edible plants have the potential to provide humans with important macronutrients and elements.http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842024000101338&lng=en&tlng=enWild edible plantsProximate analysisMineral compositionCompositional data analysis (CoDa)Energy Dispersive X-ray Fluorescence (EDX) SpectroscopyHuman Health
spellingShingle Muhammad Ibrahim
Naveed Akhtar
Asghar Khan
Sara
Yasir Anwar
Ling Shing Wong
Vetriselvan Subramaniyan
Vinoth Kumarasamy
Abdur Rauf
Yogesh Kumar Ahlawat
Nisha Sharma
Luciano de Almeida Lopes
Nutritional Profiling of Wild Edible Plants: Quantification of Macronutrients and Minerals via Energy Dispersive X-ray (EDX) Fluorescence Spectroscopy
Brazilian Journal of Biology
Wild edible plants
Proximate analysis
Mineral composition
Compositional data analysis (CoDa)
Energy Dispersive X-ray Fluorescence (EDX) Spectroscopy
Human Health
title Nutritional Profiling of Wild Edible Plants: Quantification of Macronutrients and Minerals via Energy Dispersive X-ray (EDX) Fluorescence Spectroscopy
title_full Nutritional Profiling of Wild Edible Plants: Quantification of Macronutrients and Minerals via Energy Dispersive X-ray (EDX) Fluorescence Spectroscopy
title_fullStr Nutritional Profiling of Wild Edible Plants: Quantification of Macronutrients and Minerals via Energy Dispersive X-ray (EDX) Fluorescence Spectroscopy
title_full_unstemmed Nutritional Profiling of Wild Edible Plants: Quantification of Macronutrients and Minerals via Energy Dispersive X-ray (EDX) Fluorescence Spectroscopy
title_short Nutritional Profiling of Wild Edible Plants: Quantification of Macronutrients and Minerals via Energy Dispersive X-ray (EDX) Fluorescence Spectroscopy
title_sort nutritional profiling of wild edible plants quantification of macronutrients and minerals via energy dispersive x ray edx fluorescence spectroscopy
topic Wild edible plants
Proximate analysis
Mineral composition
Compositional data analysis (CoDa)
Energy Dispersive X-ray Fluorescence (EDX) Spectroscopy
Human Health
url http://www.scielo.br/scielo.php?script=sci_arttext&pid=S1519-69842024000101338&lng=en&tlng=en
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