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aquaphotomics determination of nutrient biomarker for spectrophotometric parameterization of crop growth primary macronutrients using genetic programming

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Information Processing in Agriculture 2022年第4期9卷 497-513页

作者： Ronnie Concepcion II Sandy Lauguico Jonnel Alejandrino Elmer Dadios Edwin Sybingco Argel Bandala Department of Manufacturing Engineering and Management De La Salle UniversityManila 1004Philippines Department of Electronics and Computer Engineering De La Salle UniversityManila 1004Philippines Center for Engineering and Sustainable Development Research De La Salle UniversityManila 1004Philippines

Water quality assessment is currently based on time-consuming and costly laboratory pro-cedures and numerous expensive physicochemical sensors *** response to the trend of device minimization and reduced outlays in sustainable aquaponic water monitoring,the integration of aquaphotomics and computational intelligence is presented in this *** study used the combination of temperature,pH,and electrical conductivity sensors in predicting crop growth primary macronutrient concentration(nitrate,phos-phate,and potassium(NPK)),thus,limiting the number of deployed sensors.A total of 220 water samples collected from an outdoor artificial aquaponic pond were temperature perturbed from 16 to 36℃ with 2℃ increments to mimic ambient range,which varies water compositional *** was applied on ultraviolet,visible light,and near-infrared spectral regions,100 to 1000 nm,to determine NPK ***-pal component analysis emphasized nutrient dynamics through selecting the highly corre-lated water absorption bands resulting in 250 nm,840 nm,and 765 nm for nitrate,phosphate,and potassium *** activated water bands were used as wave-length protocols to spectrophotometrically measure macronutrient ***-iments have shown that multigene symbolic regression genetic programming(MSRGP)obtained the optimal performance in parameterizing and predicting nitrate,phosphate,and potassium concentrations based on water physical properties with an accuracy of 87.63%,88.73%,and 99.91%,*** results have shown the established 4-dimensional nutrient dynamics map reveals that temperature significantly strengthens nitrate and potassium above 30℃ and phosphate below 25℃ with pH and electrical con-ductivity ranging between 7 and 8 and 0.1 to 0.2 mS cm^(-1) *** novel approach of developing a physicochemical estimation model predicted macronutrient concentra-tions in real-time using physical limnological sensors with a

关键词： aquaphotomics Genetic programming Plant nutrients Physicochemical composition Spectrophotometry Water quality monitoring

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Chemometric methods for extracting information from temperature-dependent near-infrared spectra

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Science China Chemistry 2019年第5期62卷 583-591页

作者： Xiaoyu Cui Yan Sun Wensheng Cai Xueguang Shao Research Center for Analytical Sciences College of ChemistryNankai University Tianjin Key Laboratory of Biosensing and Molecular Recognition State Key Laboratory of Medicinal Chemical Biology Collaborative Innovation Center of Chemical Science and Engineering (Tianjin) Xinjiang Laboratory of Native Medicinal and Edible Plant Resources Chemistry College of Chemistry and Environmental ScienceKashgar University

Temperature-dependent near-infrared(NIR) spectroscopy is a new technique for measuring the NIR spectra of a sample at different temperatures. Taking the advantage of the temperature effect, the technique has shown its potential in both quantitative and qualitative analysis. The technique has been proved to be powerful in determination of the analytes in complex samples,particularly in studying the functions of water in aqueous systems due to the significant effect of temperature on the NIR spectra of water. Because of the complicated interactions in the samples and the overlapping of the broad peaks in NIR spectra, it is difficult to extract the temperature-dependent information from the spectra. Chemometric methods, therefore, have been developed for improving the spectral resolution and extracting the temperature-induced spectral information. In this review, recent advances in the studies of chemometric methods and the applications in resolution, quantitative and structural analysis of temperature-dependent NIR spectra were summarized.

关键词： near-infrared spectroscopy temperature effect chemometrics water aquaphotomics

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Investigation of the Potential of Near Infrared Spectroscopy for the Detection and Quantification of Pesticides in Aqueous Solution

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American Journal of Analytical Chemistry 2011年第8期2卷 53-62页

作者： Aoife A. Gowen Yutaro Tsuchisaka Colm O’Donnell Roumiana Tsenkova Biomeasurement Technology Laboratory Department of Environmental Information and Bioproduction Engineering Graduate School of Agricultural Science Kobe University Biosystems Engineering University College Dublin

This research investigates the potential of near infrared spectroscopy (NIRS) for the detection and quantification of pesticides in aqueous solution. Standard solutions of Alachlor and Atrazine (ranging in concentration from 1.25 - 100 ppm) were prepared by dilution in a Methanol/water solvent (1:1 methanol/water (v/v)). Near infrared transmission spectra were obtained in the wavelength region 400 - 2500 nm;however, the wavelength regions below 1300 nm and above 1900 nm were omitted in subsequent analysis due to the poor signal repeatability in these regions. Partial least squares analysis was applied for discrimination between pesticide and solvent and for prediction of pesticide concentration. Limits of detection of 12.6 ppm for Alachlor and 46.4 ppm for Atrazine were obtained.

关键词： Pesticide aquaphotomics Nearinfrared

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