Khaled Al-Kahtany, Abdelbaset S. El-Sorogy, Talal Alharbi
{"title":"Ecological risk assessment and potential source of As, Cd, Co, and Ni in Al Qunfudhah seawater, Red Sea coast, Saudi Arabia","authors":"Khaled Al-Kahtany, Abdelbaset S. El-Sorogy, Talal Alharbi","doi":"10.1016/j.jksus.2024.103560","DOIUrl":"10.1016/j.jksus.2024.103560","url":null,"abstract":"<div><div>The rapid economic expansion of the worldwide coastal settlements has resulted in the discharge of substantial amounts of heavy metals (HMs), posing a considerable risk to marine organisms. The present work aims to evaluate the HM contamination of seawater and determine their potential sources in Al Qunfudhah seawater, Red Sea coast utilizing contamination factor (CF), degree of contamination (<em>C</em><sub>d</sub>), modified contamination factor (m<em>C</em><sub>d</sub>), heavy metal pollution index (HPI), and multivariate analysis. A total of twenty-nine samples of surface seawater were gathered and the analysis of HMs was conducted using Inductively Coupled Plasma Mass Spectrometry (ICP-MS). The average concentration of dissolved HMs follows the following order: As (5.83 μg/L) ˃ Ni (0.990 μg/L) ˃ Co (0.168 μg/L) ˃ Cd (0.090 μg/L). The average concentrations of As, Co, Ni, and Cd were below the maximum admissible concentration (MAC) set by the World Health Organization (WHO), as well as the criterion continuous concentration (CCC) and criterion maximum concentration (CMC) set by the environmental protection agency. This suggests that the levels of these substances are within the acceptable limits for protecting aquatic life, both in the short-term and long-term exposures. The results of the analysis for CF, <em>C</em><sub>d</sub>, m<em>C</em><sub>d</sub>, and HPI suggested clean and uncontaminated seawater in most sites. Few individual samples obtained elevated values, which might be attributed to natural source, mostly from chemical weathering of rock forming minerals from the Arabian Shield, as well as agricultural and coastal activities.</div></div>","PeriodicalId":16205,"journal":{"name":"Journal of King Saud University - Science","volume":"36 11","pages":"Article 103560"},"PeriodicalIF":3.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152987","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Estimating time series semiparametric regression model using local polynomial estimator for predicting inflation rate in Indonesia","authors":"Vita Fibriyani , Nur Chamidah , Toha Saifudin","doi":"10.1016/j.jksus.2024.103549","DOIUrl":"10.1016/j.jksus.2024.103549","url":null,"abstract":"<div><div>A model built from a parametric regression model and a nonparametric regression model is called a semiparametric regression (SR) model. The main problem in the SR model is the estimation of the regression function. In this study, we develop the SR model for time series data that is called Time Series Semiparametric Regression (TSSR) model, and discuss estimation of the TSSR model by using local polynomial. Also, we apply it to data of inflation rate (IR) in Indonesia where IR is as response variable, and both IR and money supply in the previous periods are as predictor variables. Next, we compare the results of estimating the IR using the TSSR with the classical method, namely the ARIMA. Also, the TSSR has high accurate criterion for predicting the IR in Indonesia. The results of this study are useful for analyzing Indonesia’s economic growth rate, which is one of the Sustainable Development Goals (SDGs).</div></div>","PeriodicalId":16205,"journal":{"name":"Journal of King Saud University - Science","volume":"36 11","pages":"Article 103549"},"PeriodicalIF":3.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153534","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Characterization of tin oxide nanoparticles synthesized by discharging the non-thermal plasma jet in liquid and their application as an antibacterial agent","authors":"Omar O. Abdulhadi , Hamsa A. Ali , A.S. Obaid","doi":"10.1016/j.jksus.2024.103569","DOIUrl":"10.1016/j.jksus.2024.103569","url":null,"abstract":"<div><div>This study reports the synthesis of tin oxide nanoparticles using a non-thermal plasma jet technique. Spectroscopic analysis (OES) of plasma was carried out at atmospheric pressure to measure the plasma parameters used in the synthesis of nanoparticles. SnO<sub>2</sub> NPs were synthesized at different durations (3 and 5 min) using a DC-high-voltage power source with a voltage of 13 kV.</div><div>X-ray diffraction (XRD) showed that SnO<sub>2</sub> NPs, prepared in 3 min, are rutile tetragonal polycrystalline and have an average crystallite size of 12.45 nm. Field emission scanning electron (FE-SEM) images also show that the nanoparticles are spherical and homogenous, with an average nanostructure diameter of 22 to 58 nm for both (3 and 5 min) preparation times. UV–Vis spectroscopy showed peaks of surface plasmon resonance around 255–260 nm. The ICP-mass technique was used to evaluate nanoparticle concentrations, which were between 90–100 μg/ml. Zeta potential (ZP) measurements revealed that the particles are relatively stable colloids. The study shows that synthesized nanoparticles have exceptional antibacterial efficacy against <em>Escherichia coli</em> and <em>Staphylococcus aureus</em> bacteria. These nanoparticles are low-cost, scalable, and can be synthesized using gas or liquid phases, enabling the synthesis of a wide range of nanoparticles suitable for various pathogenic bacterial types.</div></div>","PeriodicalId":16205,"journal":{"name":"Journal of King Saud University - Science","volume":"36 11","pages":"Article 103569"},"PeriodicalIF":3.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153510","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Kai Shen , Yi Li , Zhanyong Zhao , Weirong Li , Zhihui Liu , Shukhrat Giyasov , Sapar Bayarmagnai , Zhaoyang Lv , Fei Gao , Wenqing Shi , Chao Lu , Di Tie
{"title":"Mechanisms of attachment and distribution of Nitzschia and Fragilaria at different flow rates","authors":"Kai Shen , Yi Li , Zhanyong Zhao , Weirong Li , Zhihui Liu , Shukhrat Giyasov , Sapar Bayarmagnai , Zhaoyang Lv , Fei Gao , Wenqing Shi , Chao Lu , Di Tie","doi":"10.1016/j.jksus.2024.103566","DOIUrl":"10.1016/j.jksus.2024.103566","url":null,"abstract":"<div><div>Algae in rivers will accumulate on the surface of bridges and other structures in water with the increase of time, which will pollute the water environment and cause serious corrosion on the surface of structures. Extensive literature studies have shown that flow rate as the basic hydrodynamic condition significantly affects the growth and aggregation of algae, yet how different flow rate influences the aggregation and distribution of attached algae is relatively unexplored. In this work, used microscopic observation and high-throughput sequencing combined with a field hanging test to compare the mechanism of attachment and distribution of Nitzschia and Fragilaria at the flow rates of 0.794 m/s and 0.538 m/s, respectively. Mechanistic study shows that the high flow rate reduced the species abundance ca.10 % under the same conditions by increasing the interaction between hydrodynamic and gravity. It found an improvement in species distribution uniformity in different places and periods showed by high flow rate when contrasted with low flow rate. This mechanism offers mechanistic insights into preventing corrosion and fouling of attached algae.</div></div>","PeriodicalId":16205,"journal":{"name":"Journal of King Saud University - Science","volume":"36 11","pages":"Article 103566"},"PeriodicalIF":3.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143153538","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Watsapon Yimkaew , Johannes Allwang , Christine M. Papadakis , Rakchart Traiphol , Nisanart Traiphol
{"title":"Colorimetric detection of anionic surfactant using polydiacetylene/zinc (II)/zinc oxide nanocomposites with unique yellow-to-red color transition","authors":"Watsapon Yimkaew , Johannes Allwang , Christine M. Papadakis , Rakchart Traiphol , Nisanart Traiphol","doi":"10.1016/j.jksus.2024.103557","DOIUrl":"10.1016/j.jksus.2024.103557","url":null,"abstract":"<div><div>Polydiacetylenes (PDAs) have extensively received attention as colorimetric sensors because of their stimulus-responsive properties. This contribution presents a simple technique to modify polydiacetylene/zinc (II) ion/zinc oxide (PDA/Zn<sup>2+</sup>/ZnO) nanocomposites for colorimetric detection of an anionic surfactant. Incorporation of cetyltrimethylammonium bromide (CTAB) into the nanocomposite structure is achieved through a simple mixing process in an aqueous medium. Interestingly, the resultant PDA/Zn<sup>2+</sup>/ZnO-CTAB sensors exhibit a unique yellow-to-red color change in response to the anionic surfactant, sodium dodecyl sulfate (SDS). Furthermore, the colorimetric detection of SDS at different concentrations can be achieved by varying the added CTAB concentrations. The detectable concentration range of SDS in this study extends from 0.3 to 7 mM. Our study offers a simple and low-cost method to fabricate colorimetric sensors for anionic surfactant detection using PDA materials.</div></div>","PeriodicalId":16205,"journal":{"name":"Journal of King Saud University - Science","volume":"36 11","pages":"Article 103557"},"PeriodicalIF":3.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142756921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Hafiz Ullah , Amin Ullah , Hadia Gul , Rahat Ullah Khan , Junaid Ahmad , Rafa Almeer , Khurshid Alam , Muhammad Ayaz , Muhammad Ajmal Khan , Zafar Abbass Shah
{"title":"Corrigendum to “Interferon-stimulated gene (ISG12a) suppresses hepatitis B virus replication in Huh 7 cells line” [J. King Saud Univ. Sci. 36(9) (2024) 103377]","authors":"Hafiz Ullah , Amin Ullah , Hadia Gul , Rahat Ullah Khan , Junaid Ahmad , Rafa Almeer , Khurshid Alam , Muhammad Ayaz , Muhammad Ajmal Khan , Zafar Abbass Shah","doi":"10.1016/j.jksus.2024.103554","DOIUrl":"10.1016/j.jksus.2024.103554","url":null,"abstract":"","PeriodicalId":16205,"journal":{"name":"Journal of King Saud University - Science","volume":"36 11","pages":"Article 103554"},"PeriodicalIF":3.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747716","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Leo Jumadi Simanjuntak , Cheryl Grace Pratiwi Rumahorbo
{"title":"Nano-based herbal Mahkota Dewa (Phaleria macrocarpa) for pre-eclampsia: A histological study on placental and blood changes","authors":"Leo Jumadi Simanjuntak , Cheryl Grace Pratiwi Rumahorbo","doi":"10.1016/j.jksus.2024.103534","DOIUrl":"10.1016/j.jksus.2024.103534","url":null,"abstract":"<div><h3>Background</h3><div><em>Phaleria macrocarpa</em>, a medicinal plant native to Indonesia, can potentially manage oxidative stress and inflammation—key factors in pre-eclampsia. This study investigates its efficacy as a complementary therapy for pre-eclampsia.</div></div><div><h3>Materials and Methods</h3><div>Sixty Wistar rats (30 male, 30 females; 120–180 g) were housed at Universitas Sumatera Utara. After a two-week acclimatization, confirmed pregnant female rats were divided into six groups: C- (normal), C+ (pre-eclampsia, untreated), C1 (Nifedipine 10 mg/kg BW), T1 (Mahkota Dewa 180 mg/kg BW), T2 (360 mg/kg BW), and T3 (720 mg/kg BW). Treatment groups received daily injections of Prednisone (1.5 mg/kg BW) and 6 % NaCl for 14 days. Pre-eclampsia was confirmed with blood pressure readings of 140/90 mmHg. Blood samples were analyzed for superoxide dismutase (SOD), malondialdehyde (MDA), VEGF, and sFlt-1. Placental samples were assessed for caspase-3, −8, and −10 expression using immunohistochemistry.</div></div><div><h3>Results</h3><div>The nano-herbal formulation significantly reduced oxidative stress (lower MDA, higher SOD), restored angiogenic balance (lower sFlt-1, higher VEGF), and decreased apoptosis markers (caspase-3, −8, −10).</div></div><div><h3>Conclusion</h3><div>Nano-herbal Mahkota Dewa shows promise as a therapeutic option for pre-eclampsia. It effectively reduces oxidative stress, improves angiogenic balance, and provides protection against placental apoptosis.</div></div>","PeriodicalId":16205,"journal":{"name":"Journal of King Saud University - Science","volume":"36 11","pages":"Article 103534"},"PeriodicalIF":3.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142747715","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Trachelogenin from Urena lobata demonstrates promising potentials against SARS-CoV-2 Mpro (3CL Protease) of Endemic COVID","authors":"Dinesh Kumar , Somendra Kumar , Motiram Sahu , Chandramohan Govindasamy , Anil Kumar","doi":"10.1016/j.jksus.2024.103572","DOIUrl":"10.1016/j.jksus.2024.103572","url":null,"abstract":"<div><div>The global outbreak of acute respiratory syndrome, triggered by SARS-CoV-2, has presented a significant global challenge in the quest for compounds capable of either preventing the virus from entering host cells or impeding its replication within cells. The long persistence of the virus in the human body reported as “Endemic COVID” has compelled discoverers to find a competent compound to control the virus in endemic form. In the present study, the plant <em>Urena lobata</em> has been considered to search for competent molecules to inhibit virus replication, considering the anti-viral application of plants by traditional healers across the world. In our research, we identified 47 phyto-compounds present in the methanol and ethyl acetate extract obtained from the fruit of <em>U. lobata</em>. Among these compounds, 41 were reported in this plant for the first time. We found trachelogenin as the most potent compound against SARS-CoV-2Mpro, determined through evaluations of protein–ligand complex compatibility, drug-likeness, and assessments of molecular dynamics RMSD and RMSF. The trachelogenin shows binding ability with domain I and II of both subunits of Mpro protein with −13.568 (ΔG PB (Kacal/mol)).</div></div>","PeriodicalId":16205,"journal":{"name":"Journal of King Saud University - Science","volume":"36 11","pages":"Article 103572"},"PeriodicalIF":3.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152551","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
{"title":"Study on the prediction of congenital cardiac abnormalities using various Machine learning models","authors":"Ahmad Ali AlZubi , Abdulrhman Alkhanifer","doi":"10.1016/j.jksus.2024.103555","DOIUrl":"10.1016/j.jksus.2024.103555","url":null,"abstract":"<div><h3>Introduction</h3><div>Congenital heart disease (CHD) involves structural heart defects present from birth. Ventricular septal defects (VSDs) are among the most common types. Early diagnosis is important and can be done using fetal echocardiography at 12–14 weeks of gestation. However, detection rates depend on the quality of diagnostic tools and expertise. Machine learning (ML) can enhance detection through various diagnostic modalities, including electrocardiogram (ECG) and ultrasonography (US).</div></div><div><h3>Aim and Objectives</h3><div>This study aims to improve CHD detection by integrating fetal echocardiography with machine learning techniques.</div></div><div><h3>Method</h3><div>The study explores methods for detecting CHD using an online dataset, employing preprocessing, feature extraction, and deep learning classification.</div></div><div><h3>Results</h3><div>There was notable variability in model performance metrics. The Decision Support System for Early Prediction (DSSEP) had the highest sensitivity (80.11%) but a lower positive predictive value (PPV) and specificity compared to the Heart Deep Learning model (CDLM), which showed the highest specificity (88.25%) and PPV (91.31%). The Predictive Analysis of Congenital Heart Defects (PACHD) model had the lowest sensitivity (59.78%) and PPV (56.45%), while the Machine Learning-Based Discharge Prediction (MLBDP) model had the lowest specificity (59.78%) and the highest miss rate (40.22%). These findings highlight the importance of selecting appropriate models based on performance metrics.</div></div><div><h3>Conclusion</h3><div>The DSSEP model demonstrated higher sensitivity and lower miss rates, making it strong for early detection, whereas the CDLM model offered higher specificity and PPV, reducing false positives.</div></div>","PeriodicalId":16205,"journal":{"name":"Journal of King Saud University - Science","volume":"36 11","pages":"Article 103555"},"PeriodicalIF":3.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143152986","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
T. Sathish , Jolly Masih , Anirudh Gupta , Anuj Kumar , L. Raja , Vikash Singh , Abdullah M. Al-Enizi , Bidhan Pandit , Manish Gupta , N. Senthilkumar , Mohammad Yusuf
{"title":"Sustainable nanoparticles of Non-Zero-valent iron (nZVI) production from various biological wastes","authors":"T. Sathish , Jolly Masih , Anirudh Gupta , Anuj Kumar , L. Raja , Vikash Singh , Abdullah M. Al-Enizi , Bidhan Pandit , Manish Gupta , N. Senthilkumar , Mohammad Yusuf","doi":"10.1016/j.jksus.2024.103553","DOIUrl":"10.1016/j.jksus.2024.103553","url":null,"abstract":"<div><div>Given the growing importance of biological wastes (such as leaves from pomegranate, green tea, oak, lemon, orange, peach, kiwi, and neem) based iron nanoparticles over the past ten years and their applications in the environment, it is important to investigate new methods for nanoparticle production. Significant research has been conducted in this field as synthesizing these materials now requires careful consideration of green chemistry principles, minimization of disposal, cleaner solvents, energy efficiency, and caring precursor ingredients. The goal of this work is to evaluate the characteristics of environmentally friendly, sustainable non-zero-valent Iron (nZVI) nanoparticle production<!--> <!-->from different tree’s’ leaves. The requirements required for a product for environmental cleanup were taken into consideration when examining size, form, reactivity, and aggregation propensity. Three categories can be formed from the results of extracts in terms of antioxidant measurements (reported concentration of Fe (II)): >60 mmol/L, 20 mmol/L to 40 mmol/L, and 2 mmol/L to 5 mmol/L. Neem, oak, and green tea leaves yield the highest effects when compared to other tree leaves. It is possible to inject a different emulsion into the contaminated zone that contains nZVI, vegetable oil, and water. The best leaf extracts and operating conditions for generating sustainable nanoparticles from the bio-wastes of plant leaves must be chosen in order to use green nZVIs in environmental cleanup. These environmentally friendly nZVI nanoparticles can be used to treat impure waters to get rid of heavy metals and can use<!--> <!-->as an emulsion for paints.</div></div>","PeriodicalId":16205,"journal":{"name":"Journal of King Saud University - Science","volume":"36 11","pages":"Article 103553"},"PeriodicalIF":3.7,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"142748181","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":3,"RegionCategory":"综合性期刊","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}