Skip to Main Content (Press Enter)

Logo CNR
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills

UNI-FIND
Logo CNR

|

UNI-FIND

cnr.it
  • ×
  • Home
  • People
  • Outputs
  • Organizations
  • Expertise & Skills
  1. Outputs

Screening of Plants and Indigenous Bacteria to Improve Arsenic Phytoextraction

Academic Article
Publication Date:
2022
abstract:
Arsenic (As) is one of the most common inorganic pollutants; unfortunately, it is also
one of the most toxic and is therefore a cause of great concern for the health risks that could result
from it. Removing arsenic from the soil using phytoremediation approaches is an effective strategy,
and several studies demonstrate the ability of Cannabis sativa (TSN 19109, hemp) to tolerate this
harmful contaminant. The aim of this work was to identify the best experimental conditions for a
phytoremediation plan to be applied in a disused area located in Sicily (Italy) and contaminated by
As, comparing Cannabis sativa with Brassica juncea (TSN 23059) and Zea mays (TSN 42269, corn). To
assist the process, several chelating agents were tested to improve arsenic mobility, and two different
sets of arsenic-tolerant bacteria were isolated from the rhizospheric soil of indigenous herbaceous
species and used to promote plant growth, leading to a significant improvement in terms of biomass
produced and phytoextraction. After the combined treatment, the arsenic content in the aerial part of
the plants increased by more than two orders of magnitude (e.g., from 0.05 to 6.57 mg kg-1
, from 0.04 to 6.69 mg kg-1, and from 0.03 to 5.57 mg kg-1 for brassica, corn, and hemp, respectively),
confirming the marked increase in the total absorption of As by plants.
Iris type:
01.01 Articolo in rivista
Keywords:
arsenic pollution; microbial endophytes; mobilizing agents; phytoremediation; soil remediation
List of contributors:
Petruzzelli, Gianniantonio; Barbafieri, Meri
Authors of the University:
BARBAFIERI MERI
Handle:
https://iris.cnr.it/handle/20.500.14243/418349
Published in:
APPLIED SCIENCES
Journal
  • Use of cookies

Powered by VIVO | Designed by Cineca | 26.5.1.0 | Sorgente dati: PREPROD (Ribaltamento disabilitato)