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A bacterial biosensor based on gold nanoparticles functionalized by a hydrophobin-chimera and combined with machine learning for user-friendly detection Pennacchio, Anna; Giampaolo, Fabio; Cafaro, Valeria; Cicatiello, Paola; Della Ventura, Bartolomeo; Giardina, Paola; Rosanova, Rosario; Savoia, Martina; Velotta, Raffaele; Piccialli, Francesco; Piscitelli, Alessandra 分享 收藏
Magnetic micromixing for highly sensitive detection of glyphosate in tap water by colorimetric immunosensor Campanile, Raffaele; Elia, Valerio Cosimo; Minopoli, Antonio; Babar, Zaheer Ud Din; di Girolamo, Rocco; Morone, Antonio; Sakac, Nikola; Velotta, Raffaele; Della Ventura, Bartolomeo; Iannotti, Vincenzo 分享 收藏
Rapid detection of Candida albicans in urine by an Electrochemical Impedance Spectroscopy (EIS)-based biosensor D'Aponte, Tina; De Luca, Maria; Sakac, Nikola; Schibeci, Martina; Arciello, Angela; Roscetto, Emanuela; Catania, Maria Rosaria; Iannotti, Vincenzo; Velotta, Raffaele; Della Ventura, Bartolomeo 分享 收藏
Potentiometric Surfactant Sensor for Anionic Surfactants Based on 1,3-dioctadecyl-1H-imidazol-3-ium tetraphenylborate Sakac, Nikola; Madunic-Cacic, Dubravka; Markovic, Dean; Hok, Lucija; Vianello, Robert; Vrcek, Valerije; Sarkanj, Bojan; Durin, Bojan; Della Ventura, Bartolomeo; Velotta, Raffaele; Jozanovic, Marija 分享 收藏
The 1,3-Dioctadecyl-1H-imidazol-3-ium Based Potentiometric Surfactant Sensor for Detecting Cationic Surfactants in Commercial Products Sakac, Nikola; Madunic-Cacic, Dubravka; Markovic, Dean; Ventura, Bartolomeo Della; Velotta, Raffaele; Pticek Sirocic, Anita; Matasovic, Brunislav; Sermek, Nikolina; Durin, Bojan; Sarkanj, Bojan; Jozanovic, Marija 分享 收藏
Multifunctional Core@Satellite Magnetic Particles for Magnetoresistive Biosensors Campanile, Raffaele; Acunzo, Adriano; Scardapane, Emanuela; Minopoli, Antonio; Martins, Veronica C.; Girolamo, Rocco; Cardoso, Susana; Velotta, Raffaele; Della Ventura, Bartolomeo; Iannotti, Vincenzo 分享 收藏
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Reply to Jue et al. Value of MRI to Improve Deep Learning Model That Identifies High-Grade Prostate Cancer. Comment on Gentile et al. Optimized Identification of High-Grade Prostate Cancer by Combining Different PSA Molecular Forms and PSA Density in a Deep Learning Model. Diagnostics 2021, 11, 335 Gentile, Francesco; Ferro, Matteo; Della Ventura, Bartolomeo; La Civita, Evelina; Liotti, Antonietta; Cennamo, Michele; Bruzzese, Dario; Velotta, Raffaele; Terracciano, Daniela 分享 收藏