The Importance of Natural ACE2 Inhibitor: Potency of Porang (Amorphophallus muelleri) Glucomannan as Anti-SARS-Cov-2

Ulayya, Amira Hasnanuha; Mubarok, Ahmad Zaki; Widodo, Widodo; Widjanarko, Simon Bambang; Marlita, Marlita

doi:10.29333/ejgm/11402

Cited by 3 publications

(1 citation statement)

References 22 publications

(24 reference statements)

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“…Several studies examine the physical and chemical composition, characteristics, biological functions, extraction, and purification methods of porang (Nurlela et al, 2021(Nurlela et al, , 2022Wardhani et al, 2019Wardhani et al, , 2020Widjanarko et al, 2014;Witoyo et al, 2021Witoyo et al, , 2022Witoyo et al, , 2023Yanuriati et al, 2017). Like the konjac tuber, porang tubers contain high water-soluble polysaccharides known as glucomannan and have diverse significant roles in the medical sector, food and food additives, materials research, agriculture, and other sectors (Ulayya et al, 2022;Widjanarko et al, 2022).…”

Section: Introductionmentioning

confidence: 99%

Recent Trends in Porang Research via Bibliometrics Analysis Approach

Witoyo,

Ni’maturohmah,

Utoro

2023

JIUBJ

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Porang is a native Indonesian plant with many benefits and has been widely studied by researchers in Indonesia. However, bibliometrics analysis of porang research is still limited. So, this study aims to establish a bibliometric analysis to know the recent trends in porang research. Data were taken from Scopus using Publish or Perish (PoP) software from 2012 to 2022 and processed further using Microsoft Excel and VOSViewer to determine the bibliometric mapping of porang research. The information on publication trends, authors, keywords, journal sources, numbers of publications, author productivity, and citations was analyzed descriptively. The 164 articles were retrieved from the Scopus database using PoP software from 2012 to 2022. The tendency for the number of publications was increased throughout the observation period, with the highest of annual publications in 2022 with 44 articles. Different trends are shown in the fluctuating number of citations each year, and the highest number of citations was found in 2014, with 91 citations. Food Research, Journal of Tropical Life Science, and IOP Conference Series: Earth and Environmental Science are the journals and conference papers that publish the most articles related to porang research, with 4, 4, and 43 articles, respectively, with Wardhani being the most productive as the first author. The “glucomannan”, “Amorphophallus muelleri" and “Amorphophallus oncophyllus” were the most title keyword in porang research, with 35, 18, and 18 occurrences, respectively.

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Section: Introductionmentioning

confidence: 99%

Recent Trends in Porang Research via Bibliometrics Analysis Approach

Witoyo,

Ni’maturohmah,

Utoro

2023

JIUBJ

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Emergence of Glucomannan and Xyloglucan for Respirable Delivery

Joshi¹,

Sapra²

2023

Natural Polymeric Materials Based Drug Delivery Systems in Lung Diseases

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Construction of a sustainable model to predict the moisture content of porang powder (Amorphophallus oncophyllus) based on pointed-scan visible near-infrared spectroscopy

Amanah,

Rahayoe,

Harmayani

et al. 2024

Open Agriculture

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The moisture content of porang powder (PP) is an inherent quality parameter. Therefore, several analytical methods, such as oven drying and Karl–Fischer titration, were applied to determine the content. However, these techniques are noted to have various disadvantages, such as being time-consuming, requiring sample preparation, being labor-intensive, and producing chemical waste. This study aims to investigate the potential of visible near-infrared (Vis-NIR) spectroscopy as a nondestructive and sustainable analytical technology to predict moisture content in PP. In this study, we developed a traditional machine learning algorithm, a partial least squares regression (PLSR), in tandem with two spectral bands, which are Vis-NIR (400–1,000 nm) and NIR (954–1,700 nm). To upgrade the performance of PLSR, we applied seven preprocessing techniques: mean normalization, maximum normalization, range normalization, multiplicative scatter correction, standard normal variate (SNV), and Savitzky–Golay first and second derivatives. We found that PLSR using NIR spectral bands was more effective; the preprocessed mean normalization exhibited the best results with a coefficient of determination ( R p 2 ) \left({R}_{p}^{2}) of 0.96 and a standard error prediction (SEP) of 0.56 using five latent variables. Furthermore, we also extracted 39 optimum wavelengths using variable importance in projection and achieved better performance ( R p 2 {R}_{p}^{2} = 0.95, SEP = 0.56%wb, and 5 LVs) via SNV preprocessed NIR spectra.

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The Importance of Natural ACE2 Inhibitor: Potency of Porang (Amorphophallus muelleri) Glucomannan as Anti-SARS-Cov-2

Cited by 3 publications

References 22 publications

Recent Trends in Porang Research via Bibliometrics Analysis Approach

Recent Trends in Porang Research via Bibliometrics Analysis Approach

Emergence of Glucomannan and Xyloglucan for Respirable Delivery

Construction of a sustainable model to predict the moisture content of porang powder (Amorphophallus oncophyllus) based on pointed-scan visible near-infrared spectroscopy

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