PulseExploreJournal ClubDebatesTrendingResearchersJournals
Instagram
HomeExploreJournal ClubTrending
Synapse
⌘+K
Synapse
February 2, 2026Discover Plants.2 citationsOpen Access

Synthesis, characterization and dissecting the role of Cu and Mn nano sulfides in plant performance

View Full Paper
JKJehangir KhanMRMah RukhSHSaad Hanif

Key Points

  • This review aims to analyze the synthesis and impact of copper and manganese sulfide nanoparticles on plant performance.
  • Critical review of existing literature on synthesis and characterization methods for CuS and MnS NPs.
  • Evaluation of the effects of CuS and MnS NPs on plant growth and stress resilience.
  • Analysis of nanoparticle uptake mechanisms and their role in plant health.
  • CuS and MnS nanoparticles promote antioxidant activities in plants.
  • They show antimicrobial properties against pathogenic fungi and bacteria.
  • The effectiveness of CuS and MnS nanoparticles surpasses that of traditional salts.

Abstract

Abstract Copper (Cu), manganese (Mn), and sulfur (S) are important nutrients for plant health and are not absorbed by the plants effectively from the corresponding salts. Copper sulfide (CuS) and manganese sulfide (MnS) nanoparticles (NPs) are more effective and economical than Cu and Mn slats due their nano-size. This review critically summarizes the methods of CuS and MnS NPs syntheses, characterization, and their effect on plant growth, stress resilience, plant health, possible uptake mechanism, and translocation. It has been documented that CuS and MnS NPs trigger antioxidant activities in plants and antimicrobial activity against pathogenic fungi and bacteria. Although, CuS and MnS NPs are encouraging elicitor in agricultural applications, yet their effect at molecular and cellular level, soil microbiota, fate in the soil, and safety assessments need further investigation.

Ask AI
Helpful
Bookmark
Share
View Full Paper

Cite This Study

Khan et al. (2026) studied this question.

synapsesocial.com/papers/6980fc55c1c9540dea80e17ehttps://doi.org/10.1007/s44372-026-00474-7
Ask AI
Helpful
Bookmark
Share
View Full Paper