ENVIRONMENTAL RESEARCH
·
2025
·
IF 7.7
Huiting Yang,Yujia Yao,Wei Chen,Xiaohong Gu,Huihui Chen,Qingfei Zeng,Zhigang Mao,Tao Xiang
Cyanobacterial blooms can generate various toxic metabolites in freshwater, and pose serious threats to drinking water safety and human health. Although microcystins (MCs) have been detected in many freshwater ecosystems in China, little is known about the other cyanotoxins. An investigation of six eutrophic lakes (i.e. Hulun Lake, Wuliangsuhai Lake, Chaohu Lake, Taihu Lake, Xingyun Lake, and Dianchi Lake) in different geographical locations of China was performed during the summer of 2022 to determine the occurrence of various cyanotoxins (i.e. anatoxin-a (ATX), cylindrospermopsin (CYN), and MCs) in water column and their possible risks, and to evaluate the related environmental factors. MCs levels in sediment of these lakes were also investigated. MCs were the primary cyanotoxins in the water column of investigated lakes. The mean MCs contents in water column of Hulun Lake, Wuliangsuhai Lake, Chaohu Lake, Taihu Lake, Xingyun Lake, and Dianchi Lake were 3.61, 0.13, 3.60, 2.18, 0.57, and 2.56 μg/L, respectively. The total MCs levels in water column exceeded 1 μg/L in some areas of these lakes except Wuliangsuhai Lake. Replete nitrogen and/or phosphorus levels seemed to be related to MCs production. ATX can be detected in these lakes except Xingyun Lake at ng/L levels. CYN can be detected in all lakes at ng/L levels. However, the levels of ATX and CYN appear to be not significantly associated with environmental factors. MCs and CYN can pose a high or moderate risk for humans and aquatic organisms in some areas of these lakes, while ATX can pose a low or no risk for humans and aquatic organisms in most areas of these lakes. MCs can also be detected in sediment of all lakes at ng/g levels. This research emphasizes the necessity for long-term monitoring of different cyanotoxins in eutrophic lakes, and the implementation of nutrient control and management strategies.
研究领域:
生态学
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环境科学
·
毒理学
✓ 已验证
DOI
PubMed
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
✓ 已验证
产品关联
DOI
高影响因子
RSC Advances
·
2018
·Vol. 8
·期 56
·32325-32332
·
IF 2.936
Yuhan Zhu,Yu Pan,Wenjun Wang,Haibing Xu,Liqun Zhou,Xiaoguang Liu,Ling Li
The local crystal sites occupied by Eu3+ in Ca5(BO3)3F:1% Eu3+ phosphor were investigated experimentally and theoretically. Ca5(BO3)3F:1% Eu3+ was synthesized by high-temperature solid-state method in air. The crystal structure and optical properties of the phosphor were studied by X-ray powder diffraction and photoluminescence, respectively. Two different O2− → Eu3+ CT broad bands with the peaks at 266 and 283 nm in Ca5(BO3)3F:1% Eu3+ were detected, indicating the Eu3+ sites occupied Ca2 and Ca1, respectively. The different sharp f–f emission spectra under the excitation of 283 and 266 nm proved that there are two different local lattice environments around Eu3+ existing in Ca5(BO3)3F:1% Eu3+. Environmental factor he, the standard deviation of environmental factor (EFSD) and the bond energy were used to illustrate and explain the site occupancy mechanism of Eu3+ into the host lattice. By comparing the intensity ratios of 5D0 → 7F2 transition to the 5D0 → 7F1 transition, I(5D0/7F2)/I(5D0/7F1) of Eu3+ at Ca2 (7.381) was found to be 2.5 times stronger than that of Eu3+ at Ca1 site (2.933). was calculated to analyze the I(5D0/7F2)/I(5D0/7F1) value. On the basis of the bond valence model, a bond-energy method was used to study the occupancy of the Eu ion, which indicated that the preferential sites of Eu ion occupancy in the Ca5(BO3)3F are the Ca2 and Ca1 sites. All three theoretical calculation results are consistent with each other.
研究领域:
材料科学
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固体化学
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光学
·
晶体学
✓ 已验证
DOI
高影响因子
危险品化学品经营许可证（带存储）