Assessing the differences of two vineyards soils' by NIR spectroscopy and chemometrics

被引:2
作者
Machado, Sandia [1 ]
Barreiros, Luisa [1 ,2 ]
Graca, Antonio R. [3 ]
Madeira, Manuel [4 ]
Pascoa, Ricardo N. M. J. [1 ]
Segundo, Marcela A. [1 ]
Lopes, Joao A. [5 ]
机构
[1] Univ Porto, Fac Pharm, Dept Chem Sci, Lab Appl Chem,LAQV,REQUIMTE, Rua Jorge Viterbo Ferreira 228, P-4050313 Porto, Portugal
[2] Inst Politecn Porto, Escola Super Saude, Rua Dr Antonio Bernardino de Almeida 400, P-4200072 Porto, Portugal
[3] SOGRAPE Vinhos SA, Dept Invest & Desenvolvimento, P-4430852 Avintes, Portugal
[4] Univ Lisbon ULisboa, Forest Res Ctr CEF, Sch Agr ISA, P-1399017 Lisbon, Portugal
[5] Univ Lisbon, Res Inst Med iMed ULisboa, Fac Pharmarcy, Ave Prof Gama Pinto, P-1649003 Lisbon, Portugal
关键词
Soils; NIR spectroscopy; Chemometrics; PCA; PLS-DA; PLS; NEAR-INFRARED-SPECTROSCOPY; DIFFUSE-REFLECTANCE SPECTROSCOPY; PARTIAL LEAST-SQUARES; SPECTROMETERS; SPECTRA; CLIMATE; QUALITY; COFFEE; FIELD; TOOL;
D O I
10.1016/j.heliyon.2023.e23000
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Soil properties influence greatly the status of vine plants which consequently influences the quality of wine. Therefore, in the context of viticulture management, it is extremely important to assess the physical and chemical parameters of vineyards soils. In this study, the soils of two vineyards were analysed by near-infrared (NIR) spectroscopy and established analytical reference procedures. The main objective of this study was to verify if NIR spectroscopy is a potential tool to discriminate the soils of both vineyards as well as to quantify differences of soil's parameters. For that, a total of eight sampling spots were selected at each vineyard taking into consideration the soil type and sampled at different depths. The data analysis was performed using analysis of variance (ANOVA), principal component analysis (PCA) and partial least squares discriminant analysis (PLS-DA) and partial least squares (PLS) regression. The ANOVA results revealed that 12 out of the 18 parameters analysed through the reference procedures can be considered statistically different (p < 0.05). Regarding PCA, the obtained results revealed a clear separation between the scores of both vineyards either considering NIR spectra or the chemical parameters. The PLS-DA model was able to obtain 100 % of correct predictions for the discrimination of both vineyards. PLS regression analysis using NIR spectra revealed R-P(2) and RER values higher than 0.85 and 10, respectively, for 8 (pH (H2O), N, Ca2+, Mg2+, SB, CEC, ECEC and GSB) of the 18 chemical parameters evaluated. Concluding, these results demonstrate that it is possible to discriminate the soils of the different vineyards through NIR spectroscopy as well as to quantify several chemical parameters through soils NIR spectra in a rapid, accurate, cost-effective, simple and environmentally friendly way when compared to the reference procedures.
引用
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页数:14
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