Metal-organic frameworks (MOF)-mediated improvement of cotton germination and early seedling resilience under salinity stress through explainable machine learning and non-destructive terahertz time-domain spectroscopy (THz-TDS)

Cobalt-based metal-organic framework (Co-MOF) and nickel-cobalt bimetallic MOF (Ni-Co-MOF) systems were evaluated for their effects on cotton germination under saline conditions induced through NaCl seed priming treatments. Temporal germination dynamics, germination-related indices, explainable machine learning (ML), and terahertz time domain spectroscopy (THz-TDS) were integrated to characterize treatment-associated germination and THz responses. The results demonstrated clear treatment-dependent differences in germination initiation, progression, synchronization, and cumulative germination behavior. Co-MOF at 50 mg/L produced the strongest early germination responses, whereas Ni-Co-MOF at 50 mg/L achieved the highest cumulative germination (91.0%). A 4 h priming duration produced the most coordinated germination pattern under saline conditions. The random forest-based multi-output regression framework showed variable predictive performance among germination indices, with an average R 2 of 0.372 and a maximum R 2 of 0.507 for mean germination rate. Feature importance analysis further revealed that intermediate germination stages contributed most strongly to predictive performance. THz-TDS analysis revealed clear treatment-associated differences in time-domain attenuation and frequency-dependent absorption profiles within cotton leaf tissues. Stronger attenuation and absorption responses observed under specific MOF treatments indicated treatment-associated variation in hydration-associated dielectric behavior. Compared with 100 mM NaCl reference treatment without MOF supplementation,selected MOF treatments exhibited higher cumulative germination and distinct THz responses. The integration of MOF treatments, THz-TDS, and explainable ML provided a combined analytical approach for characterizing early germination patterns and leaf THz responses under controlled saline conditions. However, However, there is a need of further biochemical, physiological, ion-homeostasis, and plant growth assessments are needed to clarify the underlying mechanism.

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Publication Details

Journal
Industrial Crops and Products
Published
2026-08-20
DOI
https://doi.org/10.1016/j.indcrop.2026.124180
Primary Topic
Terahertz technology and applications
Type
article
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article

Metal-organic frameworks (MOF)-mediated improvement of cotton germination and early seedling resilience under salinity stress through explainable machine learning and non-destructive terahertz time-domain spectroscopy (THz-TDS)

Kholoud Elmabruk, Muhammad Tanveer Altaf, Kağan Murat Pürlü, Emre Biçer et al.
Industrial Crops and Products
Terahertz technology and applications
article

Metal-organic frameworks (MOF)-mediated improvement of cotton germination and early seedling resilience under salinity stress through explainable machine learning and non-destructive terahertz time-domain spectroscopy (THz-TDS)

Kholoud Elmabruk, Muhammad Tanveer Altaf, Kağan Murat Pürlü, Emre Biçer, Kağan Kökten, Muhammad Aasım, Sabeen Rehman Soomro, Salma Naimatullah Soomro, Syed Amjad Ali, Tülay Aksoy, Waqas Liaqat, Sabit Horoz
article en

Abstract

Cobalt-based metal-organic framework (Co-MOF) and nickel-cobalt bimetallic MOF (Ni-Co-MOF) systems were evaluated for their effects on cotton germination under saline conditions induced through NaCl seed priming treatments. Temporal germination dynamics, germination-related indices, explainable machine learning (ML), and terahertz time domain spectroscopy (THz-TDS) were integrated to characterize treatment-associated germination and THz responses. The results demonstrated clear treatment-dependent differences in germination initiation, progression, synchronization, and cumulative germination behavior. Co-MOF at 50 mg/L produced the strongest early germination responses, whereas Ni-Co-MOF at 50 mg/L achieved the highest cumulative germination (91.0%). A 4 h priming duration produced the most coordinated germination pattern under saline conditions. The random forest-based multi-output regression framework showed variable predictive performance among germination indices, with an average R 2 of 0.372 and a maximum R 2 of 0.507 for mean germination rate. Feature importance analysis further revealed that intermediate germination stages contributed most strongly to predictive performance. THz-TDS analysis revealed clear treatment-associated differences in time-domain attenuation and frequency-dependent absorption profiles within cotton leaf tissues. Stronger attenuation and absorption responses observed under specific MOF treatments indicated treatment-associated variation in hydration-associated dielectric behavior. Compared with 100 mM NaCl reference treatment without MOF supplementation,selected MOF treatments exhibited higher cumulative germination and distinct THz responses. The integration of MOF treatments, THz-TDS, and explainable ML provided a combined analytical approach for characterizing early germination patterns and leaf THz responses under controlled saline conditions. However, However, there is a need of further biochemical, physiological, ion-homeostasis, and plant growth assessments are needed to clarify the underlying mechanism.

Industrial Crops and ProductsVol. 251
Ankara University (TR), Recep Tayyip Erdoğan University (TR), Bilkent University (TR), Sivas State Hospital (TR), Sivas Bilim ve Teknoloji Üniversitesi (TR)
Zero hunger
Openalex Percentile: Top 18%
Terahertz technology and applications
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