{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,3,28]],"date-time":"2026-03-28T04:53:49Z","timestamp":1774673629362,"version":"3.50.1"},"publisher-location":"Cham","reference-count":41,"publisher":"Springer International Publishing","isbn-type":[{"value":"9783031081354","type":"print"},{"value":"9783031081361","type":"electronic"}],"license":[{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"},{"start":{"date-parts":[[2022,6,29]],"date-time":"2022-06-29T00:00:00Z","timestamp":1656460800000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.springer.com\/tdm"}],"content-domain":{"domain":["link.springer.com"],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2023]]},"DOI":"10.1007\/978-3-031-08136-1_18","type":"book-chapter","created":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:02:46Z","timestamp":1656450166000},"page":"111-120","update-policy":"https:\/\/doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":1,"title":["Optical Spectroscopy for Fingerprinting Food: A Photonic Tasting"],"prefix":"10.1007","author":[{"given":"Leonardo","family":"Ciaccheri","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Barbara","family":"Adinolfi","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Andrea A.","family":"Mencaglia","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Anna G.","family":"Mignani","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2022,6,29]]},"reference":[{"key":"18_CR1","volume-title":"Challenges in Green Analytical Chemistry","year":"2011","unstructured":"de la Guardia, M., Garrigues, S. (eds.): Challenges in Green Analytical Chemistry. RSC Publishing, Cambridge (2011)"},{"key":"18_CR2","doi-asserted-by":"publisher","first-page":"277","DOI":"10.1080\/00387010903430439","volume":"42","author":"S de la Armenta","year":"2009","unstructured":"de la Armenta, S., Guardia, M.: Green spectroscopy: a scientometric picture. Spectrosc. Lett. 42, 277\u2013283 (2009)","journal-title":"Spectrosc. Lett."},{"key":"18_CR3","doi-asserted-by":"publisher","first-page":"497","DOI":"10.1016\/j.trac.2008.05.003","volume":"27","author":"S Armenta","year":"2008","unstructured":"Armenta, S., Garrigues, S., de la Guardia, M.: Green analytical chemistry. Trends Anal. Chem. 27, 497\u2013511 (2008)","journal-title":"Trends Anal. Chem."},{"key":"18_CR4","doi-asserted-by":"publisher","first-page":"78","DOI":"10.1016\/j.trac.2013.04.010","volume":"50","author":"A Ga\u0142uszka","year":"2013","unstructured":"Ga\u0142uszka, A., Migaszewski, Z.M., Namie\u015bnik, J.: The 12 principles of green analytical chemistry and the SIGNIFICANCE mnemonic of green analytical practices. Trends Anal. Chem. 50, 78\u201384 (2013)","journal-title":"Trends Anal. Chem."},{"key":"18_CR5","doi-asserted-by":"publisher","first-page":"61","DOI":"10.1016\/j.trac.2012.03.013","volume":"37","author":"A Ga\u0142uszka","year":"2012","unstructured":"Ga\u0142uszka, A., Konieczka, P., Migaszewski, Z.M., Namie\u015bnik, J.: Analytical eco-scale for assessing the greenness of analytical procedures. Trends Anal. Chem. 37, 61\u201372 (2012)","journal-title":"Trends Anal. Chem."},{"key":"18_CR6","doi-asserted-by":"publisher","first-page":"5706","DOI":"10.1039\/c2cs35138b","volume":"41","author":"DI Ellis","year":"2012","unstructured":"Ellis, D.I., Brewster, V.L., Dunn, W.B., Allwood, J.W., Golovanon, A.P., Goodacre, R.: Fingerprinting food: current technologies for the detection of food adulteration and contamination. Chem. Soc. Rev. 41, 5706\u20135727 (2012)","journal-title":"Chem. Soc. Rev."},{"key":"18_CR7","doi-asserted-by":"publisher","first-page":"196","DOI":"10.1016\/j.chroma.2007.05.024","volume":"1158","author":"LA Berrueta","year":"2007","unstructured":"Berrueta, L.A., Alonso-Salces, S.M., H\u00e9berger, K.: Supervised pattern recognition in food analysis. J. Chromatogr. A 1158, 196\u2013214 (2007)","journal-title":"J. Chromatogr. A"},{"key":"18_CR8","doi-asserted-by":"publisher","first-page":"102","DOI":"10.1016\/j.chemolab.2007.06.005","volume":"89","author":"D Toher","year":"2007","unstructured":"Toher, D., Downey, G., Brendan Murphy, T.B.: A comparison of model-based and regression classification techniques applied to near infrared spectroscopic data in food authentication studies. Chemom. Intell. Lab. Syst. 89, 102\u2013115 (2007)","journal-title":"Chemom. Intell. Lab. Syst."},{"key":"18_CR9","doi-asserted-by":"publisher","first-page":"607","DOI":"10.1016\/S0958-6946(03)00076-1","volume":"13","author":"R Karoui","year":"2003","unstructured":"Karoui, R., Mazerolles, G., Dufour, E.: Spectroscopic techniques coupled with chemometric tools for structure and texture determinations in dairy products. Int. Dairy J. 13, 607 (2003)","journal-title":"Int. Dairy J."},{"key":"18_CR10","volume-title":"A User\u2019s Guide to Principal Components","author":"JE Jackson","year":"2003","unstructured":"Jackson, J.E.: A User\u2019s Guide to Principal Components. Wiley, Hoboken (2003)"},{"key":"18_CR11","volume-title":"A User-Friendly Guide to Multivariate Calibration and Classification","author":"TI Naes","year":"2002","unstructured":"Naes, T.I., Fearn, T., Davies, T.: A User-Friendly Guide to Multivariate Calibration and Classification. NIR Publications, Chichester (2002)"},{"key":"18_CR12","volume-title":"Chemometrics in Analytical Spectroscopy","author":"MJ Adams","year":"1995","unstructured":"Adams, M.J.: Chemometrics in Analytical Spectroscopy. Royal Society of Chemistry, Cambridge (1995)"},{"key":"18_CR13","doi-asserted-by":"publisher","first-page":"109","DOI":"10.1016\/S0169-7439(01)00155-1","volume":"58","author":"S Wold","year":"2001","unstructured":"Wold, S., Sj\u00f6str\u00f6m, M., Erikkson, L.: PLS-regression: a basic tool of chemometrics. Chemom. Intell. Lab. Syst. 58, 109\u2013130 (2001)","journal-title":"Chemom. Intell. Lab. Syst."},{"key":"18_CR14","volume-title":"IR and Raman Spectroscopy: Principles and Spectral Interpretation","author":"PJ Larkin","year":"2011","unstructured":"Larkin, P.J.: IR and Raman Spectroscopy: Principles and Spectral Interpretation. Elsevier Publisher, Waltham MA (2011)"},{"key":"18_CR15","unstructured":"Bayspec Inc. https:\/\/www.bayspec.com\/category\/spectroscopy\/. Accessed 23 May 2021, model BRAM-1064-HR of 2010"},{"key":"18_CR16","doi-asserted-by":"crossref","unstructured":"Ciaccheri, L., et al.: Blueberry juices: a rapid multi-analysis of quality indicators by means of dispersive Raman spectroscopy excited at 1064 nm. In: Chung, Y., Jin, W., Lee, B., Canning, J., Nakamura, K., Yuan, L. (eds.) 25th International Conference on Optical Fiber Sensors. Proceedings of SPIE, vol. 10323, p. 1032332 (2017)","DOI":"10.1117\/12.2264608"},{"key":"18_CR17","doi-asserted-by":"publisher","unstructured":"Gordillo Arrobas, B., et al.: Raman spectroscopy for analyzing anthocyanins of lyophilized blueberries. In: IEEE Sensors 2015 Conference (2015). https:\/\/doi.org\/10.1109\/ICSENS.2015.7370224","DOI":"10.1109\/ICSENS.2015.7370224"},{"key":"18_CR18","series-title":"Lecture Notes in Electrical Engineering","doi-asserted-by":"publisher","first-page":"229","DOI":"10.1007\/978-3-319-09617-9_41","volume-title":"Sensors","author":"L Ciaccheri","year":"2015","unstructured":"Ciaccheri, L., Mignani, A.G., Mencaglia, A.A., Petruccelli, R.: Characterization of artificial sweeteners using Raman spectroscopy. In: Compagnone, D., Baldini, F., Di Natale, C., Betta, G., Siciliano, P. (eds.) Sensors. LNEE, vol. 319, pp. 229\u2013233. Springer, Cham (2015). https:\/\/doi.org\/10.1007\/978-3-319-09617-9_41"},{"key":"18_CR19","doi-asserted-by":"publisher","first-page":"4479","DOI":"10.1109\/JLT.2016.2539550","volume":"34","author":"AG Mignani","year":"2016","unstructured":"Mignani, A.G., Ciaccheri, L., Mencaglia, A.A., Di Sanzo, R., Carabetta, S., Russo, M.T.: Dispersive Raman spectroscopy for the nondestructive and rapid assessment of the quality of Southern Italian honey types. J. Lightwave Technol. 34, 4479\u20134485 (2016)","journal-title":"J. Lightwave Technol."},{"key":"18_CR20","doi-asserted-by":"crossref","unstructured":"Mignani, A.G., Ciaccheri, L., Mencaglia, A.A., De Girolamo, A., Lippolis, V., Pascale, M.: Rapid screening of wheat bran contaminated by deoxynivalenol mycotoxin using Raman spectroscopy \u2013 a preliminary experiment. In: Lewis, E. (ed.) Sixth European Workshop on Optical Fibre Sensors. Proceedings of SPIE, vol. 9916, p. 99160W (2016)","DOI":"10.1117\/12.2235910"},{"key":"18_CR21","doi-asserted-by":"publisher","first-page":"2140","DOI":"10.1364\/AO.9.002140","volume":"9","author":"P Elterman","year":"1970","unstructured":"Elterman, P.: Integrating cavity spectroscopy. Appl. Opt. 9, 2140\u20132142 (1970)","journal-title":"Appl. Opt."},{"key":"18_CR22","doi-asserted-by":"publisher","first-page":"2055","DOI":"10.1364\/AO.31.002055","volume":"31","author":"ES Fry","year":"1992","unstructured":"Fry, E.S., Kattawar, G.W., Pope, R.M.: Integrating cavity absorption meter. Appl. Opt. 31, 2055\u20132065 (1992)","journal-title":"Appl. Opt."},{"key":"18_CR23","doi-asserted-by":"publisher","first-page":"4397","DOI":"10.1364\/AO.34.004397","volume":"34","author":"JTO Kirk","year":"1995","unstructured":"Kirk, J.T.O.: Modeling the performance of an integrating-cavity absorption meter: theory and calculations for a spherical cavity. Appl. Opt. 34, 4397\u20134408 (1995)","journal-title":"Appl. Opt."},{"key":"18_CR24","unstructured":"Integrating sphere: custom design by GigaHertz-Optik. https:\/\/www.gigahertz-optik.com\/en-us\/products\/cat\/integrating-spheres\/. Accessed 23 May 2021"},{"key":"18_CR25","unstructured":"Visible spectrometer: Ocean Insight USB4000. https:\/\/www.oceaninsight.com\/products\/spectrometers\/usb-series\/. Accessed 23 May 2021"},{"key":"18_CR26","unstructured":"Near-infrared spectrometer: Bayspec SuperGamut. https:\/\/www.bayspec.com\/spectroscopy\/nir-swir\/. Accessed 23 May 2021"},{"key":"18_CR27","doi-asserted-by":"publisher","first-page":"140","DOI":"10.1016\/j.snb.2012.10.029","volume":"179","author":"AG Mignani","year":"2013","unstructured":"Mignani, A.G., Ciaccheri, L., Mencaglia, A.A., Ottevaere, H., Samano B\u00e1ca, E.E., Thienpont, H.: Optical measurements and pattern-recognition techniques for identifying the characteristics of beer and distinguishing Belgian beers. Sens. Actuators B 179, 140\u2013149 (2013)","journal-title":"Sens. Actuators B"},{"key":"18_CR28","doi-asserted-by":"publisher","first-page":"1315","DOI":"10.1007\/s00216-010-4408-y","volume":"399","author":"AG Mignani","year":"2011","unstructured":"Mignani, A.G., et al.: Visible and near-infrared absorption spectroscopy by an integrating sphere and optical fibers for quantifying and discriminating the adulteration of extra virgin olive oil from Tuscany. Anal. Bioanal. Chem. 399, 1315\u20131324 (2011). https:\/\/doi.org\/10.1007\/s00216-010-4408-y","journal-title":"Anal. Bioanal. Chem."},{"key":"18_CR29","unstructured":"STS-VIS series. https:\/\/www.oceaninsight.com\/products\/spectrometers\/. Accessed 23 May 2021"},{"key":"18_CR30","unstructured":"http:\/\/www.kloner3d.com\/. Accessed 23 May 2021"},{"key":"18_CR31","unstructured":"https:\/\/www.phidgets.com\/. Accessed 23 May 2021"},{"key":"18_CR32","doi-asserted-by":"crossref","unstructured":"Mignani, A.G., Mencaglia, A.A., Baldi, M., Ciaccheri, L.: SpiderSpec: a low-cost compact colorimeter with IoT functionality. In: Lee, B., Lee, S.B., Rao, Y. (eds.) Fifth Asia-Pacific Optical Sensors Conference. Proceedings of SPIE, vol. 9655, p. 96550P (2015)","DOI":"10.1117\/12.2184986"},{"key":"18_CR33","doi-asserted-by":"crossref","unstructured":"Mignani, A.G., Ciaccheri, L., Mencaglia, A.A., Tuccio, L., Agati, G.: Application of a LED-based reflectance sensor for assessing in situ the lycopene content of tomatoes (Lycopersicon esculentum Mill). In: Kim, M.S., Chao, K., Chin, B.A. (eds.) Sensing for Agriculture and Food Quality and Safety VII. Proceedings of SPIE, vol. 9488, p. 948806 (2015)","DOI":"10.1117\/12.2177896"},{"key":"18_CR34","unstructured":"https:\/\/www.bankmycell.com\/blog\/how-many-phones-are-in-the-world#:~:text=How%20Many%20People%20Have%20Mobile%20Devices%20In%20The%20World%3F&text=According%20to%20GSMA%20real%2Dtime,population%20has%20a%20mobile%20device. Accessed 23 May 2021"},{"key":"18_CR35","doi-asserted-by":"publisher","first-page":"1453","DOI":"10.3390\/s17061453","volume":"17","author":"G Rateni","year":"2017","unstructured":"Rateni, G., Dario, P., Cavallo, F.: Smartphone-based food diagnostic technologies: a review. Sensors 17, 1453 (2017)","journal-title":"Sensors"},{"key":"18_CR36","doi-asserted-by":"publisher","DOI":"10.1016\/j.trac.2020.115934","volume":"129","author":"JLD Nelis","year":"2020","unstructured":"Nelis, J.L.D., Tsagkaris, A.S., Dillon, M.J., Hajslova, J., Elliott, C.T.: Smartphone-based optical assays in the food safety field. Trends Anal. Chem. 129, 115934 (2020)","journal-title":"Trends Anal. Chem."},{"issue":"22","key":"18_CR37","doi-asserted-by":"publisher","first-page":"5353","DOI":"10.1007\/s00216-018-0989-7","volume":"410","author":"GMS Ross","year":"2018","unstructured":"Ross, G.M.S., Bremer, M.G.E.G., Nielen, M.W.F.: Consumer-friendly food allergen detection: moving towards smartphone-based immunoassays. Anal. Bioanal. Chem. 410(22), 5353\u20135371 (2018). https:\/\/doi.org\/10.1007\/s00216-018-0989-7","journal-title":"Anal. Bioanal. Chem."},{"key":"18_CR38","unstructured":"https:\/\/tellspec.com\/. Accessed 23 May 2021"},{"key":"18_CR39","unstructured":"https:\/\/www.consumerphysics.com\/. Accessed 23 May 2021"},{"key":"18_CR40","doi-asserted-by":"crossref","unstructured":"Ciaccheri, L., Adinolfi, B., Mencaglia, A.A., Pellegrini Strozzi, C., Marinelli, C., Mignani, A.G.: Smartphone-connected pocket spectrometer and artificial intelligence for analyzing the quality of olive oil. In: Proceedings 26th International Conference on Optical Fiber Sensors. Optical Society of America (2018). ThE79.pdf","DOI":"10.1117\/12.2540041"},{"key":"18_CR41","doi-asserted-by":"crossref","unstructured":"Ciaccheri, L., Adinolfi, B., Mencaglia, A.A., Pellegrini Strozzi, C., Mignani, A.G.: Measuring water residue in olive oil by means of a smartphone-connected pocket spectrometer and artificial intelligence. In: Kalli, K., Brambilla, G., O\u2019Keeffe, S. (eds.) Seventh European Workshop on Optical Fibre Sensors. Proceedings of SPIE, vol. 11199, p. 111993H (2019)","DOI":"10.1117\/12.2540041"}],"container-title":["Lecture Notes in Electrical Engineering","Sensors and Microsystems"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/link.springer.com\/content\/pdf\/10.1007\/978-3-031-08136-1_18","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2022,6,28]],"date-time":"2022-06-28T21:12:04Z","timestamp":1656450724000},"score":1,"resource":{"primary":{"URL":"https:\/\/link.springer.com\/10.1007\/978-3-031-08136-1_18"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2022,6,29]]},"ISBN":["9783031081354","9783031081361"],"references-count":41,"URL":"https:\/\/doi.org\/10.1007\/978-3-031-08136-1_18","relation":{},"ISSN":["1876-1100","1876-1119"],"issn-type":[{"value":"1876-1100","type":"print"},{"value":"1876-1119","type":"electronic"}],"subject":[],"published":{"date-parts":[[2022,6,29]]},"assertion":[{"value":"29 June 2022","order":1,"name":"first_online","label":"First Online","group":{"name":"ChapterHistory","label":"Chapter History"}},{"value":"AISEM","order":1,"name":"conference_acronym","label":"Conference Acronym","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"AISEM Annual Conference on Sensors and Microsystems","order":2,"name":"conference_name","label":"Conference Name","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"2021","order":5,"name":"conference_year","label":"Conference Year","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 February 2021","order":7,"name":"conference_start_date","label":"Conference Start Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"28 February 2021","order":8,"name":"conference_end_date","label":"Conference End Date","group":{"name":"ConferenceInfo","label":"Conference Information"}},{"value":"aisem2021","order":10,"name":"conference_id","label":"Conference ID","group":{"name":"ConferenceInfo","label":"Conference Information"}}]}}