Elmi Nurhaidah Zainuddin

Elmi Nurhaidah Zainuddin


Research Focus & Metrics

Academic Career Length

5Years (2022-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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9 February 2022 in Molecules
Verified
Journal Article
Open access
PDF file
JPJonathan Ardhianto Panggabean
Jonathan Ardhianto Panggabean
SASya'ban Putra Adiguna
Sya'ban Putra Adiguna
SRSiti Irma Rahmawati
Siti Irma Rahmawati
PAPeni Ahmadi
Peni Ahmadi
EZElmi Nurhaidah Zainuddin
Elmi Nurhaidah Zainuddin
Masteria Yunovilsa PutraMasteria Yunovilsa Putra
Masteria Yunovilsa Putra
An antiviral agent is urgently needed based on the high probability of the emergence and re-emergence of future viral disease, highlighted by the recent global COVID-19 pandemic. The emergence may be seen in the discovery of the Alpha, Beta, Gamma, Delta, and recently discovered Omicron variants of SARS-CoV-2. The need for strategies besides testing and isolation, social distancing, and vaccine development is clear. One of the strategies includes searching for an antiviral agent that provides effective results without toxicity, which is well-presented by significant results for carrageenan nasal spray in providing efficacy against human coronavirus-infected patients. As the primary producer of sulfated polysaccharides, marine plants, including macro- and microalgae, offer versatility in culture, production, and post-isolation development in obtaining the needed antiviral agent. Therefore, this review will describe an attempt to highlight the search for practical and safe antiviral agents from algal-based sulfated polysaccharides and to unveil their features for future development.

23 July 2023 in Remote Sensing
Verified
Journal Article
Open access
PDF file
NNNurjannah Nurdin
Nurjannah Nurdin
EAEvangelos Alevizos
Evangelos Alevizos
RSRajuddin Syamsuddin
Rajuddin Syamsuddin
HAHasni Asis
Hasni Asis
EZElmi Nurhaidah Zainuddin
Elmi Nurhaidah Zainuddin
LBLaurent Barillé
Laurent Barillé
The aquaculture of Kappaphycus alvarezii (Kappaphycus hereafter) seaweed has rapidly expanded among coastal communities in Indonesia due to its relatively simple farming process, low capital costs and short production cycles. This species is mainly cultivated for its carrageenan content used as a gelling agent in the food industry. To further assist producers in improving cultivation management and providing quantitative information about the yield, a novel approach involving remote sensing techniques was tested. In this study, multispectral images obtained from a drone (Unoccupied Aerial Vehicle, UAV) were processed to estimate the fresh and carrageenan weights of Kappaphycus at a cultivation site in South Sulawesi. The UAV imagery was geometrically and radiometrically corrected, and the resulting orthomosaics were used for detecting and classifying Kappaphycus using a random forest algorithm. The classification results were combined with in situ measurements of Kappaphycus fresh weight and carrageenan content using empirical relations between the area and weight of fresh seaweed/carrageenan. This approach allowed quantifying seaweed biometry and biochemistry at single cultivation lines and cultivation plot scales. Fresh seaweed and carrageenan weights were estimated for different dates within three distinct cultivation cycles, and the daily growth rate for each cycle was derived. Data were upscaled to a small family-scale farm and a large-scale leader farm and compared with previous estimations. To our knowledge, this study provides, for the first time, an estimation of yield at the scale of cultivation lines by exploiting the very high spatial resolution of drone data. Overall, the use of UAV remote sensing proved to be a promising approach for seaweed monitoring, opening the way to precision aquaculture of Kappaphycus.