MARINE POLLUTION BULLETIN
·
2025
·
IF 4.9
Limin Wang,Aiquan Dai,Yufei Dai,Li Lu,Xinyu Li,Jing Zhao,Keqiang Li
Pesticide residues and their accumulation in marine environments pose potential threats to the ecosystem balance and human health. Assessment of pesticide residue levels and ecological risks in marine waters is insufficient. Therefore, we conducted a quantitative analysis of four different categories of pesticides in the surface waters of the Bohai Sea and Yellow Sea in China. A comprehensive ecological risk assessment framework was constructed based on the importance of ecosystem services, utilizing the risk quotient (RQ) and entropy weighting methods to evaluate the multi-pesticide ecological risks in the study area. Thirteen pesticides were detected in the surface waters, with total concentration levels ranging from 8.18 to 80.60 ng/L, and the herbicide Atrazine and insecticide Imidacloprid were found at the highest levels. Concentration levels were higher in the Bohai Sea than in the Yellow Sea, and the highest area was mainly located on the coast of Shandong Province, China. The ecological risk of multi-pesticide pollution was the highest in the coastal regions of Shandong and was associated with Atrazine and Acetamiprid. Source analysis suggested that triazine herbicide and neonicotinoid insecticides are predominantly land-sourced, whereas sulfonylurea herbicides are primarily atmospheric. This study provides valuable support for formulating relevant environmental protection policies and measures.
研究领域:
环境科学
·
海洋生态学
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产品关联
DOI
PubMed
高影响因子
JOURNAL OF FOOD COMPOSITION AND ANALYSIS
·
2025
·
IF 4.6
Ziping Pan,Ziwei Zou,Yue Guo,Bingjian Guo,Sanshan Luo,Linlin Feng,Lijun Deng,Xiaolong Ma,Zhenwu Liang,Shihan Pan,Hongyan Wei,Minling Wei,Yan Huang,Xiongmei Huang,Jinbin Wei,Yonghong Liang,Zhiheng Su
Dietary supplements, with nutritional and health benefits, are widely used worldwide. Ensuring the quality of dietary supplements has become particularly important as demand increases. Current traditional methods of quality assessment tend to concentrate solely on the content of certain active ingredients; nevertheless, the bioactivity of a product, which serves as a more direct indicator of its quality, is frequently overlooked. Thus, a comprehensive "Content-Extractives-Activity" quality evaluation system was developed for dietary supplements using a portable near-infrared spectrometer combined with entropy weight method in this study. Taking Eucommia ulmoides granules as the object of study, near-infrared spectroscopy (NIRS) was used to predict the pinoresinol diglucoside content, ethanol-soluble extractives content, bioactivity indicators related to antioxidant damage such as cell viability value and intracellular malondialdehyde content, as well as comprehensive index. The best models all obtained satisfactory prediction results with correlation coefficient of prediction in the range of 0.89~0.97 and residual predictive deviation in the range of 1.81~4.19, which demonstrated the feasibility of the method for the rapid evaluation of the integrated quality of dietary supplements by NIRS.
研究领域:
中药学
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分析化学
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食品科学
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DOI
高影响因子
INDUSTRIAL CROPS AND PRODUCTS
·
2025
·
IF 6.2
Xi Luo,Hongmei Li,Jiamin Li,Zixuan Liu,Xiaoming Song,Liyan Zang,Huan Wang,Liang Tan,Jing Sun
To establish a quality evaluation system for Meconopsis integrifolia based on alkaloid components and to analyze the relationships between active ingredients and environmental factors, 138 samples from 15 origins was evaluated using the TOPSIS-entropy weighting method. Machine learning models (including PLS, SVR and BayesRidge) integrated with near-infrared spectroscopy preprocessing were employed for quality evaluation. Key environmental drivers were then identified through correlation and redundancy analysis. The results from the TOPSIS-entropy weighting indicated that samples originating from the north of Laji Mountain in Qinghai (P4 and P6) demonstrated the highest quality. Machine learning results showed that the optimal model for quality evaluation of different alkaloid components, utilizing both TQ Analyst and Python, achieved high prediction accuracy (RPD>2.8). External validation demonstrated that TQ Analyst exhibited the best predictive performance for OE and NE, whereas the Python-based approach yielded superior results for TA, PE, and AE. Overall, the Python-based models showed enhanced predictive accuracy and robustness, as evidenced by higher prediction rates, reduced MAE and MSE values, and stronger R² scores upon external validation. Spearman correlation and RDA analyses revealed the contents of alkaloid were significantly correlated with altitude, temperature, and precipitation. This study provides a scientific basis for the quality control of M. integrifolia . Additionally, the elucidated relationship between active ingredients and environmental factors lays a theoretical foundation for its protection of excellent germplasm resources and sustainable resource utilization.
研究领域:
生药学
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分析化学
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环境科学
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机器学习
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植物学
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产品关联
DOI
高影响因子
JOURNAL OF FOOD BIOCHEMISTRY
·
2024
·Vol. 2024
·期 1
·3900785
·
IF 3.5
Wei Ren,Jian Xu,Yongping Zhang,Yanyan Miao,Yao Liu
The aim of this study is to investigate efficient, cost-effective, and high-quality drying technologies for Rosa roxburghii Tratt. Five drying methods—hot air drying (HAD), microwave drying (MD), vacuum drying (VD), microwave vacuum drying (MVD), and freeze vacuum drying (FVD), were employed to dry Rosa roxburghii Tratt. The study focused on evaluating drying characteristics, colors, texture and structure, and microstructure, as well as the content of active ingredients and antioxidant activity of Rosa roxburghii Tratt. The results of drying kinetics indicated that the Wang and Singh model was the most suitable for FVD, while the Page model was optimal for the other four drying methods. Rosa roxburghii Tratt subjected to HAD exhibited the highest energy consumption per unit but the lowest ΔE and the highest TFC. The microstructure of Rosa roxburghii Tratt under different drying methods was analyzed. Rosa roxburghii Tratt dried using MD experienced serious cell rupture, resulting in a large loss of active ingredients and the worst antioxidant ability, but it had the fastest drying rate. On the other hand, Rosa roxburghii Tratt dried under VD had the microstructure with the least pore space, leading to slower drying speed and the highest total polyphenol content. Rosa roxburghii Tratt dried using MVD had the least hardness and chewiness, with slightly better Δ E and active ingredient content compared to MD. FVD Rosa roxburghii Tratt took the longest time to dry, with the greatest Δ E difference, hardness, and chewiness, but it had the highest Vitamin C content and the most powerful antioxidant ability. Principal component analysis (PCA)–entropy weighting method was used to provide comprehensive scores for the different drying methods, with FVD, HAD, VD, MVD, and MD were 0.8107, 0.7037, 0.4499, 0.2746, and 0.0586 respectively. Through comprehensive analysis, we demonstrated that the quality of Rosa roxburghii Tratt obtained via FVD and HAD is satisfactory. Additionally, HAD is characterized by its economic efficiency and convenience, providing valuable insights for the industrial production of Rosa roxburghii Tratt drying.
研究领域:
食品科学
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农业工程
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采后技术
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植物科学
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产品关联
DOI
高影响因子
危险品化学品经营许可证（带存储）