Search Results - "Lv, Gaoqiang"
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Responses of Leaf Cuticles to Rice Blast: Detection and Identification Using Depth-Profiling Fourier Transform Mid-Infrared Photoacoustic Spectroscopy
Published in Plant disease (01-03-2020)“…Cuticle is the first barrier for rice to resist blast fungus on the surface of the leaf. Studies on how the rice leaf cuticle responds to rice blast and…”
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Feasibility of Nondestructive Soluble Sugar Monitoring in Tomato: Quantified and Sorted through ATR-FTIR Coupled with Chemometrics
Published in Agronomy (Basel) (01-10-2024)“…As a fast detection method, Fourier transform infrared attenuated total reflection (ATR-FTIR) spectroscopy is seldom used for monitoring soluble sugars in…”
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Deficit Irrigation Effects on Cotton Growth Cycle and Preliminary Optimization of Irrigation Strategies in Arid Environment
Published in Plants (Basel) (01-05-2024)“…With the changing global climate, drought stress will pose a considerable challenge to the sustainable development of agriculture in arid regions. The…”
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Rapid and Nondestructive Detection of Pesticide Residues by Depth-Profiling Fourier Transform Infrared Photoacoustic Spectroscopy
Published in ACS omega (31-03-2018)“…Detection of pesticide residues is important for ensuring food safety, and it has assumed increased significance. Traditional analytical methods are known for…”
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In situ detection of rice leaf cuticle responses to nitrogen supplies by depth-profiling Fourier transform photoacoustic spectroscopy
Published in Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy (05-03-2020)“…Plant cuticle is an important interface on the outmost region of plant and will make the response to environmental changes. However, research about how the…”
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In-situ quantitative prediction of pesticide residues on plant surface by ATR-FTIR technique coupled with chemometrics
Published in Spectrochimica acta. Part A, Molecular and biomolecular spectroscopy (15-01-2024)“…[Display omitted] •A rapid, in-situ, and no destructive method to take quantitative detection of pesticide residues on plant surfaces.•The PNN model has 93.33%…”
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