Iğdır Üniversitesi

Background Since children’s daily activities are mostly anaerobic, it is important to assess anaerobic performance as part of the physical assessment. Therefore, running speed, power, and heart rate during repetitive sprints were investigated. Method A total of 118 children participated (mean age:11.5 range 9-14y; 48% boys, 52% girls) and performed the children’s repetitive and intermittent sprinting performance (CRISP) test, which consists of six sprint runs performed at maximal speed over 30-meter with short recovery periods (10 s) between each run. GLM Repeated Measures were used to examine the effect of runs (within-subject factor) and age and sex (between-subject factor) and as well as possible interactions for running time, power, and heart rate. Results Running times increased significantly across runs (p < 0.001, large effect size), showing a non-linear slowdown (p = 0.013). Also, a main effect of age, [p < 0.033] and sex [p < 0.011, medium effect size] emerged. However, interaction effects showed that girls fatigued more in the second half of the test, which led to larger differences with the boys in the later runs of the CRISP. Moreover, the interaction effect of age-by-run-by-sex was found. Eleven-year-old children had the longest running times. At the same time, young children, predominantly boys, showed less fatigue, as their last runs were comparable in time to the first ones. Analysis of the power showed a main effect of age, indicating more power in older children [p < 0.001, large effect size], especially after 11 years. No differences between sexes were found for power. Heart rate increased significantly during the repetitive sprinting [p < 0.001, large effect size]. No differences for age or sex were found for mean or peak heart rate. Conclusion The CRISP test is sensitive to running fatigue [large effect size] and distinguishes between the performance characteristics of children according to age and sex. Running speed and power go up between 12 and 14 years. Girls run slower but generate comparable power over the runs. Yet they fatigue more in the second half of the test than boys.

This study explored the extraction and microencapsulation of essential oil from Pistacia terebinthus cambium layer gum (PTG-EO) using response surface methodology (RSM) to optimize extraction efficiency. Significant factors such as extraction method, time, and power were optimized for conventional extraction (CE) and microwave-assisted extraction (MAE), yielding 24.48 and 21.97% essential oil, respectively. Encapsulation efficiency was influenced by temperature, water activity, and oil/wall ratio. The chemical profile of PTG-EO revealed α-pinene as the main component (80.65%). Antioxidant activity, assessed using DPPH and ABTS, showed that freeze-dried nanoencapsulated powder (NcP-Fr) exhibited superior radical scavenging activity compared to spray-dried micro-encapsulated powders (McP-Sp). SEM analysis revealed microspherical encapsulation with sizes around 33.52 μm. Thermal degradation studies showed that the essential oil release from the wall material started at approximately 200 °C, with 10.06% of the oil being released by this temperature. X-ray diffraction analysis revealed the crystallinity/amorphous ratio (14.4/85.56%) and confirmed the stable, homogeneous encapsulation structure, supporting the strong antioxidant performance of NcP-Fr.

Muscle strength, balance, performance, and gait speed of individuals diagnosed with diabetic foot wound are negatively affected. This study aimed to investigate the effects of wound localisation on balance, performance, muscle strength, and gait speed in individuals with diabetic foot wounds. Individuals (n = 48) with a mean age of 59.35 ± 11.28 years and were divided into two groups according to wound localisation as group 1 (n = 24) with forefoot wounds and group 2 (n = 24) with hindfoot wounds. Four Step Square Test was used for dynamic balance assessment, Timed Up and Go Test for performance, Manual Muscle Tests for muscle strength, and 10 Meter Walk Test for gait speed assessment. When compared in terms of muscle strength, there was a difference only between the injured side Gluteus Medius (p = 0.02), Gastrosoleus (p = 0.00), and Tibialis Anterior (p = 0.03) muscles. Other muscle groups strength, balance, performance, and gait speed were similar (p > 0.05). Loss of muscle strength can lead to serious negative consequences such as deformity and new wound formation if not intervened in time. The effects on balance and performance are similar in different wound localizations.

Cherry slugworm is an important species that is harmful to the leaves of fruit species such as cherry, sour cherry, pear, etc. Its larvae cause damage by feeding on the upper epidermis of the leaf. A key aspect of pest management is identifying the natural enemies of these species. To date, no parasitoid or predator species of this pest have been identified in Türkiye. This study was carried out to identify the natural enemies of the pest that may be present in the natural environment. Studies were carried out in 2021–2023 during the vegetation period (between March and October) in areas of intensive cherry and sour cherry cultivation in the East and Southeast Anatolia regions of Türkiye. As a result of the study, generalist predator species such as Coccinella septempunctata, Oenopia conglobata, Psyllobora vigintiduopunctata (Coleoptera: Coccinellidae), Episyrphus balteatus (Diptera: Syrphidae) and Chrysoperla carnea (Neuroptera: Chrysopidae) were detected in the orchards. It was also found that C. carnea larvae feed on those of the cherry slugworm. This study is the first in the world to show C. carnea as a predator of the cherry slugworm. In the future, more research on the natural enemies of this pest is needed to understand the damage caused by Caliroa cerasi and to identify new management strategies, assessing their scientific accuracy and effectiveness.

Introduction Cymbopogon martini, Syzygium aromaticum, and Cupressus sempervirens are used for antimicrobial purposes in the worldwide. Both their extracts and essential oil contents are rich in active ingredients. Objective The aim of this study was to investigate the inhibitory effect of Cymbopogon martini essential oil (CMEO), Syzygium aromaticum essential oil (SAEO) and Cupressus sempervirens essential oil (CSEO) on Candida albicans biofilm formation on heat-polymerized polymethyl methacrylate (PMMA) samples in vitro and in silico. Materials and methods Essential oil contents with anticandidal potential were determined by Gas Chromatography-Mass Spectrometry. Following C. albicans adhesion, PMMA samples were treated independently with Corega® and each essential oil. The anticandidal activity of the essential oils was determined by spectrophotometric absorbance measurement at 600 nm, taking into account the cultures of each sample. The cytotoxicity evaluation of essential oils was performed by MTT Colorimetric assay. The software package AutoDockTools (1.5.6) was used for the in silico studies. The effect of essential oil content on the inhibition of Secreted aspartic proteinase (SAP2) was evaluated considering the Ligand@SAP2 complex formation. Results 2% of CMEO and 5% of SAEO exhibited higher anticandidal activity than Corega® (p < 0.05), whereas Corega® had higher anticandidal activity than 2% and 5% of CSEO (p < 0.05). The cytotoxicity of essential oils on NIH/3T3 cells after 24 h was found to be 2.41 for CSEO, 2.84 for CMEO, and 2.85 µg/mL for SAEO. The results of the in silico study showed that citronellol from CMEO, chavibetol (m-eugenol) from SAEO and β-pinene from CSEO each had the highest effect on the inhibition of SAP2. The highest binding affinity value was found for citronellol at -5.3 kcal/mol. Conclusions The biofilm formation of C. albicans onto acrylic resin was inhibited by CMEO, SAEO and CSEO at a concentration of 2% through in vitro assay. The most effective inhibition was determined to be due to citronellol in CMEO through in silico analysis. Graphical abstract

Oxidative stress is responsible for the pathogenesis of many diseases, and antioxidants are commonly included in their treatment protocols. Over the past two decades, numerous biomedical reports have revealed the therapeutic benefits of molecular hydrogen (H 2) in relieving oxidation-related diseases. H 2 has been found to have selective antioxidant properties against the most dangerous oxidants (hydroxyl radicals and peroxynitrite). H 2 demonstrates numerous biologically therapeutic properties, including anti-inflammatory, antioxidant, anti-cancer, anti-stress, anti-apoptotic, anti-allergic effects, signaling molecule functions, regulation of redox balance, modulation of antioxidant enzyme gene expression, improvement of blood vessel function, down-regulation of pro-inflammatory cytokines, stimulation of energy metabolism, and protection of the nervous system. Experimental and clinical studies have shown the potential use of hydrogen nutrition therapy for ameliorating various diseases, including cardiovascular, respiratory, and metabolic disorders, as well as obesity, gastrointestinal disorders, and brain and nervous system disorders. The administration methods of hydrogen include inhalation, hydrogen-rich water, hydrogen-rich saline, hydrogen-rich eye drops, and hydrogen-rich bathing. Hydrogen nutritional therapy can be applied to different diseases, and it offers a natural alternative to chemical and radiation therapies. This review covers the different administration methods and the latest experimental and clinical research on the potential applications of H 2 in nutritional therapy for different diseases.

Purpose The aim of this study is to determine the effect of supplemental nursing system on, sucking success, weight gain findings and bilirubin levels in newborns. Design and methods The study was conducted as a randomized controlled trial. The population of the research consisted of 71 infants who received care and treatment at the Neonatal Intensive Care Clinic of the hospital located in a province in eastern Turkey between February and June 2023. In the study, the “Infant Follow-up Form” to access the birth-related characteristics of infants and mothers, the “LATCH Breastfeeding Diagnostic Scale,” to diagnose the process of switching to full breastfeeding and the “Mother-Infant Communication Form” were used. The body weights of the infants were monitored using a Charder baby scale and bilirubin levels were measured using a Drager brand transcutaneous bilirubin measuring device. Results The difference between the groups in terms of the mean sucking success, weight gain findings and bilirubin levels scores was statistically significant (p < 0.05). Conclusions Feeding an infant with the supplemental nursing system had a positive effect on sucking success, weight gain findings and bilirubin levels.

The aesthetic understanding has found its place in dental clinics and prosthetic dental treatment. Determining the appropriate prosthetic tooth color between the clinician, patient and technician is a difficult process due to metamerism. Metamerism, known as the different perception of the color of an object under different light sources, is caused by the lighting differences between the laboratory and the dental clinic. The traditional trial-error color determination method, coupled with the high cost of instrumental color value determination, has prompted the need for alternative technologies. The integration of AI technologies into dental practices aims to minimize errors in tooth shade assessment, reduce equipment usage, eliminate the impact of clinic lighting on color detection, and decrease costs for patients, dentists, and laboratories. In this study, a machine learning (ML) based approach that can correctly detect tooth shade even under different clinical lights has been developed. A dataset consisting of 580 dental images taken under four different clinical lights and with five repetitions was created using the Vita color shade guide. Experimental studies were performed using the HSV color space, 6 different ML algorithms and color histograms. As a result, 97.93% accuracy rate was achieved by using cross-validation (cv = 5) in the classification of 29 color values independent of clinical lights. It has been shown that the tooth colors can be determined with high accuracy using ML algorithms and metamerism can be prevented.

This study investigates the volatility of cryptocurrencies during the uncertainty created by COVID-19 and the Chicago Board Options Exchange Volatility Index (VIX). Hence, the relationship between cryptocurrencies in the pre- and post-COVID-19 era was introduced into a mean equation that applied the VAR (1)-BEKK GARCH-M (1,1) method to the eight largest market volume cryptocurrencies. Descriptive statistics show the Dogecoin has the most volatility, BNB has the highest return, and BTC has the lowest volatility. Due to the lag in its return during the pre-COVID-19 time frame, BTC harms other coins? returns. Other coins? returns, including their own, are increased by the Dogecoin?s one-period lagged return. Notably, only BNB, XLM, and XRP were statistically significantly impacted by VIX spikes. This study highlights the fact that cryptocurrencies experience first-instance (average) volatility. Bitcoin?s long-term uncertainties statistically significantly and favorably enhance other cryptocurrencies? long-term uncertainties.

This study aimed to determine the efficacy of red pine and larch pine needles powder at different doses on productive performance, egg quality, hatching parameters, total fatty acid and cholesterol levels of laying quails. A total of 126 (84 ♀ and 42 ♂) 20-week-old laying quail were randomly distributed into seven experimental diets with three replicates of six (four female and two male) birds per cage. The groups were fed a basal diet (CON group), a basal diet with red pine needle powder (RPNP group) (1.5%, 3% and 4.5%), or a basal diet with larch pine needle powder (LPNP group) (1.5%, 3% and 4.5%) for 9 weeks. The results showed that the additives which were added into the ration did not affect feed intake and feed conversion ratio among the performance parameters compared to the control group (p > 0.05). Egg production increased by 13%–14% in RPNP 1.5% and LPNP 4.5% groups compared to the control group (p < 0.05). Egg weight increased by 4.04% only at the RPNP 4.5% dose (p < 0.05). However, egg weight decreased by 3.68%, 2.88% and 5.75% in RPNP 3% and LPNP 3% and 4.5% doses, respectively (p < 0.05). The highest increase in egg mass compared to the control was 13.61% in the RPNP 1.5% dose (p < 0.05). Egg shape index increased by 8.18% in the RPNP 1.5% group and 11.11% in the LPNP 3% group (p < 0.05). Haugh units increased by 1.87% and 1.77% in RPNP 1.5% and LPNP 4.5% doses, respectively (p < 0.05). The amount of broken eggs increased in the LPNP 1.5% (2.86%) and LPNP 3% (3.65%) doses relative to the control group (0.40%) (p < 0.05). Egg yolk decreased by 7.2%–17.6% in RPNP 1.5% and 3% groups and LPNP 3% and 4.5% doses (p < 0.05). Egg yolk diameter decreased by 3.21%–6.56% in RPNP 1.5% and 3% groups and LPNP 4.5% doses (p < 0.05). Yolk index decreased by an average of 5.5%–7% in RPNP 1.5% and 4.5% doses and LPNP 4.5% doses (p < 0.05). Pine needle supplementation increased total monounsaturated fatty acids in egg yolks by 6% compared to the control group, while cholesterol levels decreased by 7.73% compared to the control (p < 0.05). On the other hand, pine needle addition had no effect on incubation parameters (p > 0.05). Our results clearly indicated that the 1.5% red pine needles powder could be used as an additive to increase the egg production, egg mass and Haugh units in laying quails.

Prediction of body weight (BW) using biometric measurements is an important tool especially for animal welfare and automatic phenotyping tools that needs mathematical models. In this study, it was aimed to predict the BW using body length (BL), chest girth (CG) and width of the waist (WW) for rabbits of the maternal form of Hyla NG. The standard rabbit‐raising practices were applied for the animals. A highly efficient gradient‐boosting decision tree (LightGBM), eXtreme gradient‐boosting (XGBoost) and support vector machine (SVM) algorithms were evaluated and compared to the prediction of BW. The coefficient of determination, root mean square error and mean absolute error values were used as comparison criteria. The results showed that LightGBM, XGBoost and SVM algorithms were well fit for the BW using the biometric measures with over 95% accuracy for both train and test sets. The BL was determined as the most explanatory variable on body weight.

Soil salinity is one of the most important abiotic stress sources in world agriculture, and the increasing salinity of soils with the increase in salt in irrigation water limits plant cultivation in many semiarid and arid regions of the world. The aim of this study was to determine the effects of some plant growth promoting rhizobacteria (Bacillus megaterium FC11, B. subtilis FC17, Kocuria erythromyxa EY 43), which are capable of living under stress conditions, on plant growth and nutrition in salty soil conditions in ‘Akça’, ‘Deveci’, ‘Santa Maria’, and ‘Carmen’ pear cultivars grafted on BA29 rootstock. Bacterial applications to saplings were started with planting in February and were applied once a month for four times as irrigation water. Salt applications were started 1 month after planting, and 50 mM NaCl was given with irrigation water twice a week. While vegetative development had the highest values in the control group plants in both years under saline soil conditions, it had the lowest values in saline soils without bacterial application. In pear saplings, shoot length, shoot diameter, root length, plant and root dry weights were negatively affected by salt application. However, it was observed that plants could tolerate these negativities with bacterial applications. The most effective bacterial strain was EY43, followed by FC11 and FC17. As a result, it can be said that the negative effects of salt can be reduced with plant growth promoting rhizobacteria applications in pear species that are sensitive to saline soil conditions.

This study investigates the optimization of bioactive components in thermosonicated black carrot juice using response surface methodology (RSM) and gradient boosting (GB) modeling techniques. Thermosonication, a combination of ultrasound and heat, was applied to enhance the nutritional quality of black carrot juice, which is rich in anthocyanins, phenolic compounds, and antioxidants. The study examined the effects of temperature, processing time, and ultrasonic amplitude on total carotenoid content (TCC), total anthocyanin content (TAC), ferric reducing antioxidant power (FRAP), and total phenolic content. RSM demonstrated higher prediction accuracy compared to GB, identifying optimal processing conditions at 48.68 °C, 11.15 minutes, and 82.62% amplitude. Thermosonication significantly increased total phenolic content to 414.28 mg GAE/L, surpassing traditional pasteurization. Sensory analysis, conducted via fuzzy logic, indicated improved sensory properties, including aroma, taste, and color, in thermosonicated samples. This study undercomes thermosonication as a promising method for improving both bioactive compounds and sensory quality in black carrot juice. Chemical compounds Chlorogenıc acid (PubChem CD:1794427); caffeic acid (PubChem CD: 689043); vanillin (PubChem CD: 1183); rutin (PubChem CD: 5280805); naringin (PubChem CD: 442428); rosmarinic acid (PubChem CD: 5281792); t-ferulic acid (PubChem CD: 445858); o- coumaric acid (PubChem CD: 637540); (PubChem CD: quercetin 5280459); 4-hyroxybenzoic acid (PubChem CD: 135).

Accurate load forecasting is crucial for effective power system management and planning in the context of growing electricity demand triggered by the proliferation of technological devices and rapid digitalization. Since electrical energy is largely non-storable, short-term electrical load forecasting plays a critical role for system operators. This paper presents an innovative hybrid deep learning model that combines convolutional neural networks (CNNs) and long short-term memory (LSTM) networks for short-term multi-step load forecasting using real-time hourly data from a residential customer. The model is tested on 12 different configurations with symmetrically increasing input lengths, including weather data. The results show that increasing the input length improves the learning performance of the model for all conditions. In addition, selecting an input length greater than the output length has been shown to improve prediction accuracy, with an improvement of 67% in Mean Absolute Percentage Error (MAPE) and 70% in Root Mean Square Error (RMSE). Moreover, it was observed that the multi-step forecasting performance with increased input length is more successful than the single-step forecasting performance.

In tissue cultures, surface sterilization is one of the most crucial concerns. The subsequent steps cannot be completed without success in the surface sterilization phase. Because of this, the most important factor affecting a culture's efficacy is the surface sterilization of plant parts (explants). When surface sterilizing explants, sterilization agents like sodium hypochlorite, ethanol, calcium hypochlorite, hydrogen peroxide, mercury chloride, different surfactants (such Tween 20), and plant protection combinations are commonly utilized. These sterilant are often poisonous; they discolour objects and prevent growth and development in vitro. Nowadays, nanotechnology is applied successfully in numerous fields. In plant tissue culture, it is evident that silver nanoparticles (Ag NPs) are widely employed in antibacterial and antiseptic applications. One technique for producing Ag NPs other than physical and chemical synthesis is biosynthesis. When it comes to all known forms of microorganisms in the literature, silver ions are the most efficient antimicrobial and antibacterial compounds. They are not only better than other antimicrobial agents, but they are also safe for the environment and human health.

Root rot caused by Rhizoctonia spp. is a serious threat to tomato production worldwide. This study was carried out to determine the anastomosis groups (AGs) and pathogenicity of Rhizoctonia spp. that cause root rot on the tomato plants in Iğdır province, Türkiye. Isolations were performed obtained from 305 diseased tomato plants from 26 different locations, and 93 Rhizoctonia isolates were obtained from tomato plants. The isolates were characterized according to their morphological properties and anastomosis groups (AGs). As a result on the comparison with the tester isolates, 95.7% were classified as multinucleate (MN) Rhizoctonia solani, while 4.3% were identified as binucleate (BN) Rhizoctonia (Ceratobasidium sp.). Based on ITS1‑5.8S-ITS2 rDNA sequencing, 18 Rhizoctonia isolates were confirmed by molecular analysis and were determined to belong to MN Rhizoctonia AG 3 (2), AG 4 HG-I (7), AG 4 HG-III (5), and AG 5 (2). BN Rhizoctonia isolates were also confirmed as AG-A (1) and supported further putative classification to subgroup AG-Fb (1). In the pathogenicity test, we determined the differences in the virulence of these isolates on tomato plants (cv. Hazera 5656 F1) (p < 0.05). The AG 4 isolates (HB-15, HB-66, and HB-81) had the highest disease severity in this study. BN Rhizoctonia isolates (AG‑A HB-18, HB-40, and AG-Fb HB-100) were found to have the lowest disease severity. Growth parameters such as plant height, root length, fresh weight, and dry weight were measured for all plants and it was determined that there was significant difference between isolates (p < 0.05). To our knowledge, this is the first report of MN AG 4 HG III and BN Rhizoctonia AG-Fb on tomato plants in Türkiye. Understanding the genetic diversity of Rhizoctonia may help to understand and will also facilitate the control of black root rot disease. Therefore, the results of the study are crucial for tomato growers and researchers.

Plant-derived bioactive substances have demonstrated significant qualities that suggest they may be crucial in preventing various chronic diseases. Flavonoids, which include apigenin, are the biggest group of polyphenols. In our study, we aimed to obtain the methanol-chloroform (1:1) extract from the aerial parts of Nepeta baytopii Hedge & Lamond and purify the apigenin using bioactivity-guided isolation to separate the active fraction. The current in vitro study provides updated knowledge on apigenin regarding its previously unresearched DNA protection activity and enzyme inhibition, enzyme inhibition kinetics, and enzyme-apigenin interactions. In this context, these studies will be the first and will contribute to the literature. Apigenin had high urease (IC50-5.00 ± 0.00 µM), butyrlcholinesterase (BChE:IC50-10.48 ± 0.00 µM), and tyrosinase (IC50-177.82 ± 14.40 µM) inhibition activities, while inhibition binding constants were high in urease (Ki-0.05 mM), tyrosinase (Ki-0.06 mM), and carbonic anhydrase (Ki-0.08 mM). The binding affinities and constants of the interaction were also ascertained to be high for BChE (−9.50 kcal/mol, and Ki-0.11 µM), and tyrosinase (−8.80 kcal/mol, and Ki, 0.62 µM) with apigenin. In summary, apigenin can be used as an inhibitor for five enzymes. These results will give priority to further studies. Apigenin showed high DNA protection activity with a Form I value of 67.37%. These data demonstrated that the interaction formed by BChE-apigenin gave the best results regarding enzyme inhibition and enzyme-molecule interaction. The stability of this complex was evaluated using molecular dynamics modeling.

Background Genetic diversity is a prerequisite for breeding programs, and one of the main goals here is to obtain quality products. Therefore, this study aims to evaluate the genetic diversity in some hybrid individuals of honeyberry (Lonicera caerulea L.) based on fruit characteristics, leaf morphology, vitamin C, antioxidant activity, biochemical, and nutritional content. In this context, superior quality individuals have been identified based on the 42 variables examined in our study. These hybrid individuals can be economically incorporated into production after the registration stages, and their sustainability for use in breeding programs can also be ensured. Results The fruit weight ranged from 0.71 (‘H11’) to 1.66 g (‘H6’). The ascorbic acid varied between 17.13 (‘H7’) and 20.64 mg AAE/100 g (‘H15’). The antioxidant activity changed between 12.59 (‘Store’) and 15.03 µmol Trolox g–1 (‘Aurea’). The total anthocyanins were found to be highest in ‘Borrel Beast’ (163.79 mg cyn-3-gluc 100 g–1), followed by ‘H8’ (163.20 mg cyn-3-gluc 100 g–1). The highest nutrient levels in the fruits were found in the ‘H10’ individual, with calcium (2445.77 mg kg–1), potassium (2274.36 mg kg–1), phosphorus (2123.27 mg kg–1), magnesium (1263.95 mg kg–1), and sulfur (859.62 mg kg–1), respectively. The highest nutrient levels in the leaves were found in the ‘H14’ individual for calcium (19,493.21 mg kg–1), ‘H5’ for magnesium (5643.52 mg kg–1), ‘H8’ for sulfur (2312.11 mg kg–1), ‘H6’ for phosphorus (2007.51 mg kg–1), and ‘H6’ for potassium (1099.32 mg kg–1). In general, the nutrients in the fruit exhibited significant correlations among themselves at different levels (*, **, ***). Within the scope of principal component analysis, the first 8 principal components explained 80.69% of the total variance. According to the cluster and population analyses, it was determined that there was a high variation in subgroup B2. Additionally, although honeyberry is a relatively new fruit in Türkiye, efforts have begun to develop new cultivars through hybrid breeding. Conclusions When 42 variables were evaluated together to determine genetic diversity, hybrid individuals ‘H14’, ‘H5’, ‘H8’, and ‘H1’ were identified as superior individuals, respectively.

Salt stress is one of the most critical threats to agroecosystems, ranking first due to its negative consequences in crop or non-crop plant species. The agricultural lands are being salinized day by day. The high level of salinization in soils is manifested as stunted plant growth and reduced crop productivity. In order to bolster plant performance, a number of attempts have been done. Nano-structured materials are among the most promising candidates for buffering the severity of stress among the attempts of the last decade. Herewith in the chapter, we have had a discussion and review of the very new novel “gold nanoparticles” and their potential use against salt stress. According to the literature survey, there were very limited reports about the interactive effects of golden nanoparticles and salt stress. The limited reports suggested that gold nanoparticles can be considered novel growth promoting materials due to their regulatory roles in redox status, stress-related attributes, nitrogen metabolism, ion balance, biosynthesis of nitric oxide synthesis, and tetrapyrrole. However, such endpoints can be regarded as the “basic theme” of almost nanoparticles, but the motor theme of gold nanoparticles is still not fully understood. The chapter was concluded with a set of open questions for possible future research.