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INTERNATIONAL JOURNAL OF BIOLOGICAL MACROMOLECULES · 2018 · IF 3.909

Maca polysaccharides: Extraction optimization, structural features and anti-fatigue activities

Yujuan Li,Yizhou Xin,Fangxue Xu,Mengmeng Zheng,Xiaozhi Xi,Xiaowei Cui,Hui Cao,Hong Guo,Chunchao Han

The maca polysaccharides optimal extraction conditions were obtained by using response surface methodology (RSM) method and the anti-fatigue activity of maca polysaccharides (MCP) was explored. The maca polysaccharides extract yield of RSM could reach 9.97 mg/g by using the model predicts, and the total sugar and protein purity were 61.00% and 4.46% with the further isolation process, respectively. And the monosaccharide compositions obtained by gas chromatograph (GC) were composed of rhamnose (rha), glucose (glc), galactose (gal) with the ratio of 2.34:10.21:1.00. Furthermore, the anti-fatigue activity was evaluated by the swimming parameter, biochemistry parameters (liver glycogen (LG), blood urea nitrogen (BUN), and lactic acid (LD)), the result indicated that the low-dose maca polysaccharides group had the significant anti-fatigue activity.

CAS / MDL: 76-05-1
研究领域: 药学 · 食品科学 · 生物化学
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MICROCHEMICAL JOURNAL · 2025 · IF 5.1

Optimization of in situ gold nanorod synthesis via a combined RSM-BP neural network approach: Application to SERS detection of tetracycline

Shancai Guo,Qizhong Hu,Xuye Zhang,Jinjun Zhao,Jianyuan Lin,Zhijian Jia,Teng Wang,Haili Wang,Chunjie Bai,Jinghua Chen

The presence of trace tetracycline (TC) in aqueous environments demands sensitive and scalable detection methods, while conventional techniques often suffer from poor selectivity and high detection limits. Herein, a synergistic optimization strategy combining response surface methodology (RSM) and backpropagation (BP) neural network was developed to precisely tailor the localized surface plasmon resonance (LSPR) properties of gold nanorods (AuNRs) for constructing a high-performance surface-enhanced Raman scattering (SERS) platform for TC detection. One-way experiments were used to investigate the effects of individual parameters on AuNR structure, followed by Box-Behnken design to build a composite response value integrating LSPR peak position and absorption intensity ratio, enabling optimization of CTAB, AgNO 3 , AA, and NaBH 4 concentrations. A BP neural network was applied to further enhance parameter prediction accuracy. The optimal synthesis conditions yielded AuNRs with good morphological uniformity and an LSPR peak at 767 nm, confirmed by UV–Vis and TEM. The resulting SERS platform achieved a detection limit of 8.5 × 10 −10  M (S/N = 3) for TC, about six orders of magnitude more sensitive than conventional Raman. In real water samples, recoveries ranged from 91.0 % to 103.0 %, with RSD < 5 %, indicating excellent reproducibility and anti-interference capability. This study demonstrates a generalizable route for precision nanostructure synthesis and offers a reliable platform for ultrasensitive antibiotic detection in complex aqueous matrices, showing strong promise for environmental and food safety monitoring.

研究领域: 纳米技术 · 环境监测 · 分析化学 · 神经网络 · 光学传感 · 材料科学
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MICROCHEMICAL JOURNAL · 2024 · IF 4.9

RSM-based optimization of microwave- and ultrasound-assisted green extraction of iron-chelating and antioxidant natural products from Azadirachta indica leaves

Mahnoor Anis,Nida Anis,Dildar Ahmed

Azadirachta indica is an abundantly available plant and known for its medicinal properties. Some studies showed its iron chelating activity (ICA) with possible implications for iron overload disorders. The present study aimed to discover efficient and green methods for obtaining ICA-rich extract from A. indica leaves. Microwave-assisted extraction (MAE) and ultrasound-assisted extraction (UAE) methods were optimized using response surface methodology (RSM). Four-factor Box-Behnken designs were used (with 29 runs) with five response factors for each technique. Aqueous choline chloride-glycerol (CCG) DES was employed as an extractant. ICA, total phenolic content (TPC), total flavonoid content (TFC), radical scavenging activity (RSA), and ferric-reducing antioxidant power (FRAP) were the responses. The optimal conditions discovered for MAE were 30 mL/g solvent-to-solid ratio (SSR), 38 % DES concentration, 330 W power and 15 s time with predicted ICA, TPC, TFC, FRAP, and RSA as 127.64 mg EDTAE/g d.w., 23.55 mg GAE/g d.w., 19.94 RE/g d.w., 26.77 mg AAE/g d.w. and 5.37 mg AAE/g d.w., respectively. For UAE, the optimal parameters were 30 mL/g SSR, 39 % DES concentration, 54.8 ͦ C temperature and 17.48 min time with predicted ICA, TPC, TFC, FRAP, and RSA as 127.80 mg EDTAE/g d.w., 18.58 mg GAE/g d.w., 23.36 RE/g d.w., 23.33 mg AAE/g d.w., and 5.79 mg AAE/g d.w., respectively. The models were efficient and supported by statistical and validation studies. MAE, however, used far less time than UAE. The outcomes of the study have important implications for iron overload syndrome and oxidative stress. The developed methods can, thus, be proposed as strong candidates for industrial applications obtaining bioactive compounds from abundantly available leaves of A. indica.

CAS / MDL: 154-23-4
研究领域: 植物化学 · 药用植物学 · 食品科学与技术
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Foods · 2022 ·Vol. 11 ·期 6 ·859 · IF 5.561

Using RSM for Optimum of Optimum Production of Peptides from Edible Bird’s Nest By-Product and Characterization of Its Antioxidant’s Properties

Jie Cao,Ning Xiong,Yu Zhang,Yuwei Dai,Yuye Wang,Lingyu Lu,Lin Jiang

In this research, the neutrase hydrolysis conditions of edible bird’s nest (EBN) by-products were optimized by response surface methodology (RSM). Antioxidant peptides were then isolated from the EBN by-products by ultrafiltration and chromatography taking the DPPH radical scavenging ability as an indicator. The antioxidant activity of the purified peptides was estimated by radical scavenging ability and sodium nitroprusside (SNP)-induced damage model in PC12 cells. When the enzyme concentration was10 kU/g-hydrolysis temperature was 45 °C, and hydrolysis time was 10.30 h, the degree of hydrolysis (DH) of EBN by-product hydrolysate (EBNH) was the highest. The purified peptide exerted strong scavenging ability with EC50values of 0.51, 1.31, and 0.65 mg/mL for DDPH, ABTS, and O2−radicals, respectively. In addition, the purified peptides could significantly reduce the SNP-induced oxidative damage of PC12 cells, and twelve peptides that were rich in leucine (Leu), valine (Val), and lysine (Lys) were identified by LC-MS/MS. These results suggested that EBN by-products have potential as new materials for natural antioxidant peptides.Keywords:edible bird’s nest by-products;response surface methodology;antioxidant peptides;radical scavenging ability;PC12 cells

CAS / MDL: 89-25-8
研究领域: 食品科学 · 生物化学 · 药理学
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CHEMICAL ENGINEERING RESEARCH & DESIGN · 2023 · IF 3.9

Treatment of surfactant wastewater by foam separation: Combining the RSM method and WOA-BP neural network to explore optimal process conditions

Fei Liang,Li Sun,Zuoxiang Zeng,Jiacong Kang

In the field of water treatment, the treatment of wastewater containing surfactants has been an important issue. The foam separation technique is often used to separate surfactants from water as a simple and efficient separation technique. We used a newly designed foam separation column to treat wastewater containing sodium dodecyl sulfonate (SDS) (0.5–2.0 mmol/L). The effects of initial SDS concentration ( C SDS, i ), operation time ( t ), foam height ( H ), gas velocity ( V ) and pH value (1−7) on the separation effect of SDS were investigated. The Box-Behnken design model was used to design the experimental group, and the process parameters of foam separation were optimized by combining response surface methodology (RSM) and WOA-BP neural network . The results showed that the prediction accuracy of the optimized BP neural network using the WOA algorithm was superior to that of the RSM model. The best operating parameters were: C SDS,i (0.88 mmol/L), t (28.13 min), H ( 81.3 cm), V (1.03 L/min) and pH (3.5) and the recovery rate of SDS was up to 97.32%.

CAS / MDL: 1310-73-2 7664-93-9
研究领域: 环境科学 · 水处理工程
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APPLIED PHYSICS A-MATERIALS SCIENCE & PROCESSING · 2022 ·Vol. 128 ·期 12 ·1-18 · IF 2.983

Green and efficient synthesis of high-purity Y zeolite using natural raw material-kaolin activated by microwave heating

He Yuan,Guo Shenghui,Li Shiwei,Yin Shaohua

Y Zeolite plays an irreplaceable role in many important applications due to its unique physicochemical properties, which has attracted extensive attention from researchers. Response surface methodology (RSM) was used to optimize the process parameters for the hydrothermal synthesis of Y zeolite using kaolin activated by microwave heating. The best relative crystallinity was 108.17% could be achieved at the condition: the aging temperature of guiding agent was 65 ℃, the crystallization temperature was 100 ℃, the crystallization time was 24 h. In addition, the aging temperature of guiding agent was the most important influence factor. Under the optimal condition, the SiO 2 /Al 2 O 3 ratio of synthesized Y zeolite was 4.54, 90% of the particle size was less than 60 μm, and the specific surface area of Y zeolite was 479 m 2 /g. The successful preparation of Y zeolite with high crystallinity is expected to provide reference for the application of wastewater treatment, CO 2 sequestration and fluid catalytic cracking for petroleum.

CAS / MDL: 11138-49-1
研究领域: 材料科学 · 化学工程 · 环境科学
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ADSORPTION SCIENCE & TECHNOLOGY · 2021 · IF 4.232

Efficient Removal of 2,4-DCP by Nano Zero-Valent Iron-Reduced Graphene Oxide: Statistical Modeling and Process Optimization Using RSM-BBD Approach

Qi Jing,Shuo Qiao,Wenyu Xiao,Le Tong,Zhongyu Ren

In this study, nano zero-valent iron-reduced graphene oxide (NZVI-rGO) composites were synthesized to remove 2,4-dichlorophenol (2,4-DCP) as an efficient adsorbent. Scanning electron microscopy (SEM) and X-ray diffraction (XRD) indicated that NZVI particles were successfully loaded and dispersed uniformly on rGO nanosheets. Fourier transform infrared spectroscopy (FTIR) analysis showed that the interaction between NZVI-rGO and 2,4-DCP promoted the adsorption process. A three-level, four-factor Box-Behnken design (BBD) of the response surface methodology (RSM) was used to optimize the influencing factors including NZVI-rGO dosage, 2,4-DCP initial concentration, reaction time and initial pH. A statistically significant, well-fitting quadratic regression model was successfully constructed to predict 2,4-DCP removal rate. The high value (15.95), very low value (<0.0001), nonsignificant lack of fit, and appropriate coefficient of determination () demonstrate a good correlation between the experimental and predicted values of the proposed model. The analyses of variance reveal that NZVI-rGO dosage and reaction time have a positive effect on 2,4-DCP removal, whereas the increase of contaminant concentration and initial pH inhibit the removal, whereas the effect of contaminant concentration and initial pH is in reverse, where the change of NZVI-rGO dosage has the greatest effect. The optimum condition is1.215 g/L of NZVI-rGO dosage, 20.856 mg/L of 2,4-DCP concentration, 4.115 of pH, and 8.157 min of reaction time. It is verified by parallel experiments under the optimum condition, achieving the removal efficiency of100%.

研究领域: 环境科学 · 材料科学
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ANALYTICAL LETTERS · 2024 · IF 1.6

Determination of Preservative Allergens in Skincare Products by Gas Chromatography-Tandem Mass Spectrometry (GC-MS/MS) With Response Surface Methodology (RSM) Optimization

Tongtong Liu,Weina Han,Lulu Wang,Xiaoyu Hou,Jin Cao

The aim of this study was to optimize the extraction conditions of 15 preservative allergens from skincare products using response surface methodology (RSM) and determination by gas chromatography – tandem mass spectrometry (GC-MS/MS). The optimal parameters were: 50% acetonitrile (ACN) (% v/v), a solvent/sample ratio of 80, and an extraction time of 10 min. The method provided good linearity (R2 ≥ 0.990) from 0.01 to 2 µg/mL with low limits of detection (0.02–0.2 mg/kg) and quantification (0.04–1 mg/kg). Recoveries ranged from 70.1 to 125.6% and the relative standard deviations (RSDs) varied from 2.0 to 14.9%. The method was successfully applied to eighty skincare products to accurately quantify these preservatives allergens.

CAS / MDL: 7487-88-9
研究领域: 分析化学 · 化妆品科学
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RSC Advances · 2016 ·Vol. 6 ·期 60 ·54679-54692 · IF 3.289

A modeling study by response surface methodology (RSM) on Sr(II) ion dynamic adsorption optimization using a novel magnetic ion imprinted polymer

Yan Liu,Fangfang Liu,Liang Ni,Minjia Meng,Xiangguo Meng,Guoxing Zhong,Jian Qiu

In this paper, response surface methodology (RSM) was successfully applied for the first time to optimize the dynamic adsorption conditions for the maximum removal of Sr(II) ion from aqueous solutions using Sr(II) ion imprinted polymers (Sr(II)-IIPs) as adsorbents. Sr(II)-IIPs based on the support matrix of magnetic SBA-15 (Fe3O4@SBA-15) were prepared by a surface imprinted technique and RAFT polymerization. The adsorbents can be separated from the fixed-bed column after adsorption by an external magnetic field. The effects of the operational parameters for maximizing Sr(II) removal were studied using Box–Behnken design (BBD) combined with RSM. A second-order quadratic model was built to predict the responses. The significance of the independent variables and their interactions was studied and tested by analysis of variance (ANOVA). The adequacy of the model was tested by the correlation between the experimental and predicted values of the responses. At optimum adsorption conditions, the Sr(II) adsorption capacity of Sr(II)-IIPs was found to be 22.12 mg g−1. Moreover, Sr(II)-IIPs exhibited an excellent dynamic selectivity of Sr(II) and could be easily regenerated by a dynamic desorption process with a desorption ratio of 99.2%.

研究领域: 环境科学 · 材料科学
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ENERGY & FUELS · 2023 · IF 5.3

High-Yield Synthesis of 5-Hydroxymethylfurfural from Untreated Wheat Straw Catalyzed by FePO4 and Organic Acid in a Biphasic System

Xu Zhang,Haowen Cui,Qinfang Li,Haian Xia

It is of great significance to develop an affordable and environmentally friendly method for producing 5-hydroxymethylfurfural (HMF) and furfural from inexpensive and abundant agricultural waste. Herein, FePO4 combined with organic acids such as mandelic acid were used as catalysts in a one-pot catalytic conversion of untreated wheat straw into HMF and furfural in a two-phase system of THF/H2O saturated by NaCl. H+, Fe(OH)2+, and Fe(OH)2+ originated from partially dissolved FePO4 in hot water together with organic acids provided Brønsted and Lewis acid sites for the cascade conversion of wheat straw. Whereas organic acid could regulate the concentrations of Lewis and Brønsted acid sites to promote the dehydration process of fructose and hinder the production of by-products and humins, boosting the yield of HMF and furfural. The response surface methodology (RSM) was used to optimize the reaction conditions. The highest yield of HMF was 62.9% at 200 °C and 120 min, which is higher than the reported yield of HMF using lignocellulose as raw material in the current literature. Furfural has also achieved a higher yield (93.9%) at 180 °C and 90 min. This study demonstrates the rationality of the deployment of lignocellulose to produce furan compounds by organic acids and FePO4, providing the possibility for efficient production of HMF and furfural from recalcitrant agricultural waste.

CAS / MDL: 110-16-7
研究领域: 化学工程 · 绿色化学 · 生物炼制 · 可持续化学
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Micromachines · 2025 ·Vol. 16 ·期 6 ·638 · IF 3

Optimization of Gas-Liquid Sulfonation in Cross-Shaped Microchannels for α-Olefin Sulfonate Synthesis

Yao Li,Yingxin Mu,Muxuan Qin,Wei Zhang,Wenjin Zhou

The gas-liquid sulfonation of α-olefin sulfonate (AOS) in falling film reactors faces significant limitations, primarily due to poor mass transfer efficiency and excessive byproduct formation. To overcome these challenges, a novel cross-shaped microchannel reactor was developed for the continuous gas-liquid sulfonation of α-olefin (AO) with gaseous sulfur trioxide (SO3). The influence of key process parameters, including gas-phase flow rate, reaction temperature, SO3/AO molar ratio, and SO3volume fraction, on product characteristics and their interactions was systematically investigated using the single-factor experiment and response surface methodology (RSM). A high-precision empirical model (coefficient of determination,R2= 0.9882) to predict product content was successfully constructed. To achieve multi-objective optimization considering product active substance content and energy efficiency, a strategy combining a two-population genetic algorithm with the entropy-weighted TOPSIS (Technique for Order of Preference by Similarity to Ideal Solution) method was implemented. Optimal conditions were determined as follows: gas-phase flow rate of 228 mL/min, reaction temperature of 52 °C, SO3/AO molar ratio of 1.27, and SO3volume fraction of 4%. Compared to conditions optimized solely by RSM, this multi-objective approach achieved a significant 10% reduction in energy efficiency, with only a marginal 3.8% decrease in active substance content. This study demonstrates the feasibility and advantages of microreactors for the efficient and green synthesis of AOS.

CAS / MDL: 67-56-1
研究领域: 化学工程 · 微反应器技术 · 绿色化学 · 过程优化
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JOURNAL OF PHOTOCHEMISTRY AND PHOTOBIOLOGY A-CHEMISTRY · 2021 · IF 4.291

Optimization of Fe3O4/SiO2/N-TiO2/Ag/AgCl core-shell nanomaterial and its properties, repeatability and photocatalytic mechanism

Ao Li,Linbei Xie,Sijie Zhou,Min Zhang,Yi Ding,Ping Wang

In this study, the magnetic core-shell nanomaterial Fe 3 O 4 /SiO 2 /N-TiO 2 /Ag/AgCl (FSNT/Ag/AgCl) that efficiently degraded methyl orange (MO) was produced. The dosages of tetrabutyl titanate (TBOT), urea and AgNO 3 were optimized by response surface methodology (RSM). Scanning electron microscope (SEM), transmission electron microscope (TEM), X-ray photoelectron spectroscopy analysis (XPS), energy dispersive spectrometer (EDS), X-ray diffractometer (XRD), fourier transform infrared spectrometer (FT-IR), and UV–vis diffuse reflectance spectrum (UV–vis DRS) were used to characterize the nanomaterial. The particle size of FSNT/Ag/AgCl was 91.98 nm, and it presented a core-shell structure with Fe 3 O 4 as the core, SiO 2 and N-TiO 2 wrapped in Fe 3 O 4 , and Ag/AgCl deposited on the outermost layer. Performance and mechanism research experiments showed that under the optimized conditions of 1 g/L FSNT/Ag/AgCl, pH = 9, temperature of 35℃ and initial MO concentration of 10 mg/L, about 90 % of MO was degraded in 20 min. The mineralization rate was 35.2 % within 120 min. Holes (h + ) and superoxide anions (·O 2 − ) were the main active substances in the whole photocatalytic degradation. FSNT/Ag/AgCl could be recovered by magnet. After 5 repeated experiments, the degradation rate of MO within 100 min still reached 88.5 %. This work provides a recyclable core-shell nanomaterial for faster degradation of dye wastewater.

CAS / MDL: 78-10-4
研究领域: 材料科学 · 环境科学 · 纳米技术 · 化学工程
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