Clean quality control of agricultural and non-agricultural lime by rapid and accurate assessment of calcium and magnesium contents via proximal sensors

Autor(es)

Benedet, Lucas ; Godinho Silva, Sergio Henrique ; Mancini, Marcelo ; Andrade, Renata ; Canuto Amaral, Francisco Helcio ; Lima, Geraldo Janio ; Carbone Carneiro, Marco Aurelio ; Curi, Nilton

• Tipo de documento: Artigo Científico
• Fonte: Environmental Research; v. 221, p. 13-pg., 2023-01-17.

Resumo

Ca and Mg are the most important chemical elements in lime. Properly measuring Ca and Mg contents is essential to assess the quality of lime products. Quality control guarantees the adequate use of lime in industrial processes, in soils, and helps avoiding adulteration. Proximal sensors can aid in this process by determining Ca and Mg contents easily, rapidly and without producing chemical waste. The objective of this study was to evaluate the use an environmentally-friendly method of analyzing the quality of lime. We studied 1) the use of portable X-ray fluorescence (pXRF) to predict concentrations of Ca and Mg in lime, 2) tested if NixProTM sensor can improve prediction accuracy and 3) tested if sample preparation methods (grinding) affect analyses. 74 samples of lime were analyzed by two different laboratories (lab. 1 = 38, lab. 2 = 36). All samples submitted to pXRF and NixProTM analyses. Sensor analyses were done in whole (CP) and ground (AQ) samples to test the effect of sample preparation in prediction performance. High correlation was found between Ca and Mg contents measured via pXRF and laboratory analyses. Mg-CP presented the highest correlation coefficient (r = 0.81); Mg-AQ, the lowest (0.57). Predictions presented good performance (R2 > 0.68); Mg had the best results (0.86). Separating models per laboratory showed that some datasets are harder to model, probably due to variability in the source material (limestone). The addition of NixProTM data contributed to improve prediction accuracy, although slightly. Pre-dictions using CP samples presented the best results, especially for Mg, indicating that grinding is not necessary. This pioneer study demonstrated that fused proximal sensors can be used to rapidly and easily determine con-tents of Ca and Mg in soil amendments without producing chemical waste. (AU)

• Processo FAPESP: 21/06968-3 - Da semente à xícara: internet das coisas na cadeia produtiva de cafés de qualidade
• Beneficiário: Antonio Chalfun Junior
• Modalidade de apoio: Auxílio à Pesquisa - Temático