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Tonelli A, Mangia V, Candiani A, Pasquali F, Mangiaracina TJ, Grazioli A, Sozzi M, Gorni D, Bussolati S, Cucinotta A, Basini G, Selleri S. Sensing Optimum in the Raw: Leveraging the Raw-Data Imaging Capabilities of Raspberry Pi for Diagnostics Applications. Sensors (Basel) 2021; 21:s21103552. [PMID: 34065190 PMCID: PMC8160707 DOI: 10.3390/s21103552] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/31/2021] [Revised: 05/10/2021] [Accepted: 05/16/2021] [Indexed: 12/12/2022]
Abstract
Single-board computers (SBCs) and microcontroller boards (MCBs) are extensively used nowadays as prototyping platforms to accomplish innovative tasks. Very recently, implementations of these devices for diagnostics applications are rapidly gaining ground for research and educational purposes. Among the available solutions, Raspberry Pi represents one of the most used SBCs. In the present work, two setups based on Raspberry Pi and its CMOS-based camera (a 3D-printed device and an adaptation of a commercial product named We-Lab) were investigated as diagnostic instruments. Different camera elaboration processes were investigated, showing how direct access to the 10-bit raw data acquired from the sensor before downstream imaging processes could be beneficial for photometric applications. The developed solution was successfully applied to the evaluation of the oxidative stress using two commercial kits (d-ROM Fast; PAT). We suggest the analysis of raw data applied to SBC and MCB platforms in order to improve results.
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Affiliation(s)
- Alessandro Tonelli
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Veronica Mangia
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Alessandro Candiani
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Francesco Pasquali
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Tiziana Jessica Mangiaracina
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Alessandro Grazioli
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Michele Sozzi
- DNAPhone S.R.L., Viale Mentana 150, 43121 Parma, Italy; (A.T.); (V.M.); (A.C.); (F.P.); (T.J.M.); (A.G.); (M.S.)
| | - Davide Gorni
- H&D S.R.L., Strada Langhirano 264/1a, 43124 Parma, Italy;
| | - Simona Bussolati
- Dipartimento di Scienze Medico-Veterinarie, Via del Taglio 10, 43126 Parma, Italy; (S.B.); (G.B.)
| | - Annamaria Cucinotta
- Dipartimento di Ingegneria e Architettura, University of Parma, Parco Area delle Scienze, 181/A, 43124 Parma, Italy;
| | - Giuseppina Basini
- Dipartimento di Scienze Medico-Veterinarie, Via del Taglio 10, 43126 Parma, Italy; (S.B.); (G.B.)
| | - Stefano Selleri
- Dipartimento di Ingegneria e Architettura, University of Parma, Parco Area delle Scienze, 181/A, 43124 Parma, Italy;
- Correspondence: ; Tel.: +39-052-190-5763
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Rippa M, Castagna R, Sagnelli D, Vestri A, Borriello G, Fusco G, Zhou J, Petti L. SERS Biosensor Based on Engineered 2D-Aperiodic Nanostructure for In-Situ Detection of Viable Brucella Bacterium in Complex Matrix. Nanomaterials (Basel) 2021; 11:nano11040886. [PMID: 33807185 PMCID: PMC8067257 DOI: 10.3390/nano11040886] [Citation(s) in RCA: 6] [Impact Index Per Article: 2.0] [Reference Citation Analysis] [What about the content of this article? (0)] [Affiliation(s)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 03/04/2021] [Revised: 03/21/2021] [Accepted: 03/27/2021] [Indexed: 11/16/2022]
Abstract
Brucella is a foodborne pathogen globally affecting both the economy and healthcare. Surface Enhanced Raman Spectroscopy (SERS) nano-biosensing can be a promising strategy for its detection. We combined high-performance quasi-crystal patterned nanocavities for Raman enhancement with the use of covalently immobilized Tbilisi bacteriophages as high-performing bio-receptors. We coupled our efficient SERS nano-biosensor to a Raman system to develop an on-field phage-based bio-sensing platform capable of monitoring the target bacteria. The developed biosensor allowed us to identify Brucella abortus in milk by our portable SERS device. Upon bacterial capture from samples (104 cells), a signal related to the pathogen recognition was observed, proving the concrete applicability of our system for on-site and in-food detection.
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Affiliation(s)
- Massimo Rippa
- Institute of Applied Sciences and Intelligent Systems “E. Caianiello” of CNR, 80078 Pozzuoli, Italy; (M.R.); (R.C.); (D.S.); (G.F.)
| | - Riccardo Castagna
- Institute of Applied Sciences and Intelligent Systems “E. Caianiello” of CNR, 80078 Pozzuoli, Italy; (M.R.); (R.C.); (D.S.); (G.F.)
| | - Domenico Sagnelli
- Institute of Applied Sciences and Intelligent Systems “E. Caianiello” of CNR, 80078 Pozzuoli, Italy; (M.R.); (R.C.); (D.S.); (G.F.)
| | - Ambra Vestri
- Institute of Applied Sciences and Intelligent Systems “E. Caianiello” of CNR, 80078 Pozzuoli, Italy; (M.R.); (R.C.); (D.S.); (G.F.)
- Correspondence: (A.V.); (L.P.)
| | - Giorgia Borriello
- Istituto Zooprofilattico Sperimentale del Mezzogiorno (IZSM), 80055 Portici, Italy;
| | - Giovanna Fusco
- Institute of Applied Sciences and Intelligent Systems “E. Caianiello” of CNR, 80078 Pozzuoli, Italy; (M.R.); (R.C.); (D.S.); (G.F.)
- Istituto Zooprofilattico Sperimentale del Mezzogiorno (IZSM), 80055 Portici, Italy;
| | - Jun Zhou
- Institute of Photonics, Faculty of Science, Ningbo University, Ningbo 315211, China;
| | - Lucia Petti
- Institute of Applied Sciences and Intelligent Systems “E. Caianiello” of CNR, 80078 Pozzuoli, Italy; (M.R.); (R.C.); (D.S.); (G.F.)
- Correspondence: (A.V.); (L.P.)
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Huang Y, Zhang L, Zhang H, Li Y, Liu L, Chen Y, Qiu X, Yu D. Development of a Portable SPR Sensor for Nucleic Acid Detection. Micromachines (Basel) 2020; 11:E526. [PMID: 32455736 DOI: 10.3390/mi11050526] [Citation(s) in RCA: 15] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [What about the content of this article? (0)] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 04/06/2020] [Revised: 05/14/2020] [Accepted: 05/19/2020] [Indexed: 01/09/2023]
Abstract
Nucleic acid detection is of great significance in clinical diagnosis, environmental monitoring and food safety. Compared with the traditional nucleic acid amplification detection method, surface plasmon resonance (SPR) sensing technology has the advantages of being label-free, having simple operation, and providing real-time detection. However, the angle scanning system in many SPR angle modulation detection applications usually requires a high-resolution stepper motor and complex mechanical structure to adjust the angle. In this paper, a portable multi-angle scanning SPR sensor was designed. The sensor only uses one stepping motor to rotate a belt, and the belt pulls the mechanical linkages of incident light and reflected light to move in opposite directions for achieving the SPR angle scanning mode that keeps the incident angle and reflected angle equal. The sensor has an angle scanning accuracy of 0.002°, response sensitivity of 3.72 × 10−6 RIU (refractive index unit), and an angle scanning range of 30°–74°. The overall size of the system is only 480 mm × 150 mm × 180 mm. The portable SPR sensor was used to detect nucleic acid hybridization on a gold film chip modified with bovine serum albumin (BSA). The result revealed that the sensor had high sensitivity and fast response, and could successfully accomplish the hybridization detection of target DNA solution of 0.01 μmol/mL.
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