The increasing use of bioinoculants to enhance soil quality and crop productivity requires efficient sensor platforms for fast monitoring. EU and national registration demand analytical methods to evaluate environmental fate and long-term effectiveness. Addressing these challenges requires evaluating bioinoculant persistence and impact on microbial communities, emphasizing the need for reliable detection methods in soil. This study presents an innovative aptamer-based sensing platform using Quartz Crystal Microbalance with Dissipation monitoring (QCM-D) to detect microbial inoculants in soil extract, establishing the basis for portable sensors. The QCM-D platform is functionalized with single-stranded DNA (ssDNA) aptamers specifically designed to detect Bacillus subtilis strains. Specificity and selectivity are evaluated using inactivated B. subtilis in buffer and compared with negative controls (P.protegens and mixed samples). One aptamer exhibits outstanding specificity, producing a statistically significant distinction between positive and negative controls (p = 0.019) with a limit of detection (LoD) between 105 and 106 CFU/ml. To validate performance in real matrices, the platform is applied to inoculated soils. Two distinct soils are tested: sandy soil from Poland (neutral pH) and sandy loam from Germany (sub-alkaline pH). An optimized bacterial extraction method yields QCM-D-compatible samples, revealing an average persistence rate of approximately 72 %. In Polish soil, B. subtilis generates a response significantly different from controls (p = 0.0002), while in German soil differences between B. subtilis and P. protegens are also significant (p = 0.04). QCM-D analysis demonstrates significant specificity in both soils, as confirmed by triplicate experiments, supporting the aptasensor's robustness and potential for on-site monitoring of microbial inoculants in complex soil matrices.

Aptamer-based QCM-D platform for monitoring biofertilizers in soil

Lunardelli, Francesco;Gagliardi, Mariacristina;Cecchini, Marco
2025

Abstract

The increasing use of bioinoculants to enhance soil quality and crop productivity requires efficient sensor platforms for fast monitoring. EU and national registration demand analytical methods to evaluate environmental fate and long-term effectiveness. Addressing these challenges requires evaluating bioinoculant persistence and impact on microbial communities, emphasizing the need for reliable detection methods in soil. This study presents an innovative aptamer-based sensing platform using Quartz Crystal Microbalance with Dissipation monitoring (QCM-D) to detect microbial inoculants in soil extract, establishing the basis for portable sensors. The QCM-D platform is functionalized with single-stranded DNA (ssDNA) aptamers specifically designed to detect Bacillus subtilis strains. Specificity and selectivity are evaluated using inactivated B. subtilis in buffer and compared with negative controls (P.protegens and mixed samples). One aptamer exhibits outstanding specificity, producing a statistically significant distinction between positive and negative controls (p = 0.019) with a limit of detection (LoD) between 105 and 106 CFU/ml. To validate performance in real matrices, the platform is applied to inoculated soils. Two distinct soils are tested: sandy soil from Poland (neutral pH) and sandy loam from Germany (sub-alkaline pH). An optimized bacterial extraction method yields QCM-D-compatible samples, revealing an average persistence rate of approximately 72 %. In Polish soil, B. subtilis generates a response significantly different from controls (p = 0.0002), while in German soil differences between B. subtilis and P. protegens are also significant (p = 0.04). QCM-D analysis demonstrates significant specificity in both soils, as confirmed by triplicate experiments, supporting the aptasensor's robustness and potential for on-site monitoring of microbial inoculants in complex soil matrices.
2025
Istituto Nanoscienze - NANO
Acoustic wave biosensor
Aptasensor
Biofertilizer monitoring
QCM-D
Soil extraction
Soil microbial analysis
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/20.500.14243/594964
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