评估可持续生物炭富集基质对作为相关示范作物的番茄(Solanum lycopersicum L.)的安全性和质量的影响

IF 2.3 Q1 AGRICULTURE, MULTIDISCIPLINARY
Lorenzo Bini, Lapo Renai, Michelangelo Fichera, William Antonio Petrucci, Anna Lenzi, Stefano Biricolti, Edgardo Giordani, Luca Rivoira, Maria Concetta Bruzzoniti, Dariusz Piesik and Massimo Del Bubba, 
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引用次数: 0

摘要

在番茄(Solanum lycopersicum L.)的生长过程中,测试了将林业废弃物生物炭作为商业基质(泥炭:青霉 1:1 v/v)改良剂的效果。基质的生物炭含量分别为 0%(对照)、5%、10%、20% 和 40%(% v/v),并对其质地和理化特性进行了表征。收获后,根据不同的生长介质对番茄的产量(即植株和果实)、质量(如营养和营养学)和安全性(即与生物炭相关的污染物)进行了评估。富含 10% 至 40% 生物炭的基质仅超过了 L.D. 75/2010 规定的 pH 值阈值。基质和果实中的镍和锰呈现出相似的趋势,而没有铬、铅和镉。植物生物量随生物炭含量的增加而增加(高达 11-29%),相反,果实产量却减少(减少 25-60%)。根据不同的处理方法,只有苊的含量呈上升趋势(11-12 μg kg-1),但仍符合欧洲的规定。PLS-DA 通过基质与作物的相关性确认了实践的适用性,为质量和安全评估提供了预测模型。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Assessing the Impact of Sustainable Biochar-Enriched Substrates on Safety and Quality of Tomato (Solanum lycopersicum L.) as Relevant Model Crop

Assessing the Impact of Sustainable Biochar-Enriched Substrates on Safety and Quality of Tomato (Solanum lycopersicum L.) as Relevant Model Crop

Forestry-waste biochar was tested as a commercial substrate (peat:lapillus 1:1 v/v) amendment in growing tomatoes (Solanum lycopersicum L.). Substrates were 0% (control), 5%, 10%, 20%, and 40% (% v/v) biochar-enriched and were characterized for their textural and physicochemical properties. After harvesting, tomato production (i.e., plant and fruits), quality (e.g., nutrition and nutraceutics), and safety (i.e., biochar-related pollutants) were assessed according to the different growing media. 10-to-40% biochar-enriched substrates only exceeded the pH threshold set by L.D. 75/2010. Ni and Mn exhibited a similar trend between substrates and fruits, while Cr, Pb, and Cd were absent. Plant biomass increased (up to 11–29%) according to biochar content, which conversely diminished fruit production (∼25–60% reduction). Only acenaphthene exhibited an increasing profile (11–12 μg kg–1) according to the treatments, nevertheless complying with the European regulations. PLS-DA confirmed practice suitability by substrate–crop correlation, providing prediction models for quality and safety assessment.

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