Publications by authors named "Cuilan Wei"

Article Synopsis
  • The winter planting of green manure (GM) in South China is used to cut chemical nitrogen fertilizer use, enhance soil fertility, and sustain rice yields, but its impact on nitrogen runoff is not fully understood.
  • A study combines field experiments and modeling to evaluate the effects of different GM practices and reduced nitrogen fertilizer on nitrogen runoff in paddy fields along the Yangtze River.
  • Results show that GM significantly decreases total nitrogen runoff loss, particularly dissolved inorganic nitrogen, with reductions varying by rainfall conditions, and the model used proved reliable for assessing water consumption and nitrogen runoff in these systems.
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Background: Protein hydrolysates possess various bioactive functions (e.g. antioxidant), but their bitter taste is unacceptable to most consumers.

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With the emergence of numerous food safety problems, rapid and accurate detection of histamine in food spoilage remains a challenge. To this end, we developed a simple design and easy synthesis of fluorescein-based probe FCHO to achieve specific and rapid (<1 s) quantitative detection of histamine through "imine formation" reaction. Significant enhanced fluorescence signal in response to histamine enabled our probe with high sensitivity as low as 51 nM.

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Nitrate is a prominent pollutant in water bodies around the world. The isotopes in nitrate provide an effective approach to trace the sources and transformations of nitrate in water bodies. However, determination of isotopic composition by conventional analytical techniques is time-consuming, laborious, and expensive, and alternative methods are urgently needed.

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Quantitative prediction of nitrate contents in different industrial wastewater was carried out using Fourier transform infrared attenuated total reflectance (FTIR-ATR) spectroscopy. The algorithm of Gaussian deconvolution was applied in the spectral range of 1500-1200 cm to eliminate the background interferences on target information of nitrate, and partial least squares regression () model and support vector machine () model were developed for the prediction of nitrate. The results showed that the model ( = 0.

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Urban river and lake systems show important ecological function, and eutrophication frequently occurs and results from human activities due to the limited self-regulating ability. Since nitrate (NO) is one of the key factors causing water eutrophication, its rapid qualification plays critical role in the eutrophication control and management. In this study, water samples were collected from typical water bodies from Nanjing in different seasons, and Fourier transform infrared attenuated total reflectance spectroscopy (FTIR-ATR) was employed for the quantitative determination of NO coupled with algorithms of deconvolution and partial least squares regression (PLSR).

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