{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"institution":[{"name":"Research Square"}],"indexed":{"date-parts":[[2024,3,3]],"date-time":"2024-03-03T13:16:47Z","timestamp":1709471807001},"posted":{"date-parts":[[2023,3,20]]},"group-title":"In Review","reference-count":56,"publisher":"Research Square Platform LLC","license":[{"start":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T00:00:00Z","timestamp":1679270400000},"content-version":"unspecified","delay-in-days":0,"URL":"https:\/\/creativecommons.org\/licenses\/by\/4.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"accepted":{"date-parts":[[2023,3,8]]},"abstract":"<jats:title>Abstract<\/jats:title>\n        <jats:p>The fatty acids profile has been playing a decisive role in recent years, thanks to technological, sensory and health demands from producers and consumers. The application of NIRS technique on fat tissues, could lead to more efficient, practical, and economical in the quality control.  The study aim was to assess the accuracy of Fourier Transformed Near Infrared Spectroscopy technique to determine fatty acids composition in fat of 12 European local pig breeds. A total of 439 spectra of backfat were collected both in intact and minced tissue and then were analyzed using gas chromatographic analysis.  Predictive equations were developed using the 80% of samples for the calibration, followed by full cross validation, and the remaining 20% for the external validation test. NIRS analysis of minced samples allowed a better response for fatty acid families, n3 PUFA, n6 PUFA and for the screening (high, medium, low value) of the major fatty acids. Intact fat prediction, although with a lower predictive ability, seems suitable for PUFA and n6 PUFA while for other families allows only a discrimination between high and low values.<\/jats:p>","DOI":"10.21203\/rs.3.rs-2669895\/v1","type":"posted-content","created":{"date-parts":[[2023,3,20]],"date-time":"2023-03-20T21:55:21Z","timestamp":1679349321000},"source":"Crossref","is-referenced-by-count":0,"title":["Prediction of fatty acid composition in intact and minced fat of European autochthonous pigs breeds by Near infrared spectroscopy"],"prefix":"10.21203","author":[{"given":"Silvia","family":"Parrini","sequence":"first","affiliation":[{"name":"University of Florence"}]},{"given":"Francesco","family":"Sirtori","sequence":"additional","affiliation":[{"name":"University of Florence"}]},{"given":"Marjeta","family":"\u010candek-Potokar","sequence":"additional","affiliation":[{"name":"Kmetijski In\u0161titut Slovenije"}]},{"given":"Rui","family":"Charneca","sequence":"additional","affiliation":[{"name":"Universidade de \u00c9vora"}]},{"given":"Alessandro","family":"Crovetti","sequence":"additional","affiliation":[{"name":"University of Florence"}]},{"given":"Ivona Djurkin","family":"Ku\u0161ec","sequence":"additional","affiliation":[{"name":"Faculty of Agrobiotechnical Sciences Osijek Vladimira"}]},{"given":"Elena Gonz\u00e1lez","family":"Sanchez","sequence":"additional","affiliation":[{"name":"Department of Animal Production and Food Science, School of Agricultural Engineering, University of Extremadura"}]},{"given":"Mercedes Maria Izquierdo","family":"Cebrian","sequence":"additional","affiliation":[{"name":"Centre of Scientific and Technological Research of Extremadura, CICYTEX"}]},{"given":"Ana Haro","family":"Garcia","sequence":"additional","affiliation":[{"name":"Spanish National Research Council, CSIC"}]},{"given":"Danijel","family":"Karolyi","sequence":"additional","affiliation":[{"name":"University of Zagreb Faculty of Agriculture"}]},{"given":"Benedicte","family":"Lebret","sequence":"additional","affiliation":[{"name":"PEGASE, INRAE, Institut Agro"}]},{"given":"Alberto","family":"Ortiz","sequence":"additional","affiliation":[{"name":"Centre of Scientific and Technological Research of Extremadura, CICYTEX"}]},{"given":"Nuria","family":"Panella-Riera","sequence":"additional","affiliation":[{"name":"IRTA-Monells"}]},{"given":"Matthias","family":"Petig","sequence":"additional","affiliation":[{"name":"BESH"}]},{"given":"Preciosa Jesus da Costa","family":"Pires","sequence":"additional","affiliation":[{"name":"Center of Research and development in Agrifood System and Sustainability, Ref\u00f3ios do Lima"}]},{"given":"David","family":"Tejerina","sequence":"additional","affiliation":[{"name":"Centre of Scientific and Technological Research of Extremadura, CICYTEX"}]},{"given":"Violeta","family":"Razmaite","sequence":"additional","affiliation":[{"name":"Lithuanian University of Health Sciences"}]},{"given":"Chiara","family":"Aquilani","sequence":"additional","affiliation":[{"name":"University of Florence"}]},{"given":"Riccardo","family":"Bozzi","sequence":"additional","affiliation":[{"name":"University of Florence"}]}],"member":"8761","reference":[{"key":"ref1","doi-asserted-by":"crossref","first-page":"713","DOI":"10.1016\/S0309-1740(02)00273-5","article-title":"Alvarez-Garc\u00eda, N. Determination of fatty acids in the subcutaneous fat of Iberian breed swine by near infrared spectroscopy (NIRS) with a fibre-optic probe","volume":"65","author":"Gonz\u00e1lez-Mart\u00edn I","year":"2003","unstructured":"Gonz\u00e1lez-Mart\u00edn, I., Gonz\u00e1lez-P\u00e9rez, C., Hern\u00e1ndez-M\u00e9ndez, J. & Alvarez-Garc\u00eda, N. Determination of fatty acids in the subcutaneous fat of Iberian breed swine by near infrared spectroscopy (NIRS) with a fibre-optic probe. Meat Science 65, 713\u2013719 (2003).","journal-title":"Meat Science"},{"key":"ref2","doi-asserted-by":"crossref","first-page":"1403","DOI":"10.1177\/0003702817709299","article-title":"A Review of the Principles and Applications of Near-Infrared Spectroscopy to Characterize Meat, Fat, and Meat Products","volume":"71","author":"Prieto N","year":"2017","unstructured":"Prieto, N., Pawluczyk, O., Dugan, M. E. R. & Aalhus, J. L. A Review of the Principles and Applications of Near-Infrared Spectroscopy to Characterize Meat, Fat, and Meat Products. Appl Spectrosc 71, 1403\u20131426 (2017).","journal-title":"Appl Spectrosc"},{"key":"ref3","doi-asserted-by":"crossref","first-page":"100402","DOI":"10.1016\/j.animal.2021.100402","article-title":"Pork quality attributes from farm to fork. Part I. Carcass and fresh meat","volume":"16","author":"Lebret B","year":"2022","unstructured":"Lebret, B. & \u010candek-Potokar, M. Review: Pork quality attributes from farm to fork. Part I. Carcass and fresh meat. Animal 16, 100402 (2022).","journal-title":"Animal"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.3390\/app10175801","article-title":"Potential Use of Near-Infrared Spectroscopy to Predict Fatty Acid Profile of Meat from Different European Autochthonous Pig Breeds","author":"Ortiz A","year":"2020","unstructured":"Ortiz, A. et al. Potential Use of Near-Infrared Spectroscopy to Predict Fatty Acid Profile of Meat from Different European Autochthonous Pig Breeds. (2020) doi:10.3390\/app10175801."},{"key":"ref5","doi-asserted-by":"crossref","first-page":"554","DOI":"10.1016\/j.foodchem.2014.07.101","article-title":"Prediction of chicken quality attributes by near infrared spectroscopy","volume":"168","author":"Barbin DF","year":"2015","unstructured":"Barbin, D. F. et al. Prediction of chicken quality attributes by near infrared spectroscopy. Food Chemistry 168, 554\u2013560 (2015).","journal-title":"Food Chemistry"},{"key":"ref6","doi-asserted-by":"crossref","first-page":"237","DOI":"10.1016\/j.livsci.2006.05.010","article-title":"Considerations on ethics and animal welfare in extensive pig production: Breeding and fattening Iberian pigs","volume":"103","author":"Aparicio Tovar MA","year":"2006","unstructured":"Aparicio Tovar, M. A. & Vargas Giraldo, J. D. Considerations on ethics and animal welfare in extensive pig production: Breeding and fattening Iberian pigs. Livestock Science 103, 237\u2013242 (2006).","journal-title":"Livestock Science"},{"key":"ref7","doi-asserted-by":"crossref","first-page":"29","DOI":"10.1016\/j.applanim.2011.01.013","article-title":"Assessment of animal welfare through behavioural parameters in Iberian pigs in intensive and extensive conditions","volume":"131","author":"Temple D","year":"2011","unstructured":"Temple, D., Manteca, X., Velarde, A. & Dalmau, A. Assessment of animal welfare through behavioural parameters in Iberian pigs in intensive and extensive conditions. 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Meat Science 153, 86\u201393 (2019).","journal-title":"Meat Science"},{"key":"ref16","doi-asserted-by":"crossref","first-page":"636","DOI":"10.1016\/j.meatsci.2011.10.006","article-title":"In-situ Iberian pig carcass classification using a micro-electro-mechanical system (MEMS)-based near infrared (NIR) spectrometer","volume":"90","author":"Zamora-Rojas E","year":"2012","unstructured":"Zamora-Rojas, E., P\u00e9rez-Mar\u00edn, D., De Pedro-Sanz, E., Guerrero-Ginel, J. E. & Garrido-Varo, A. In-situ Iberian pig carcass classification using a micro-electro-mechanical system (MEMS)-based near infrared (NIR) spectrometer. 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J Anim Sci 90, 978\u2013988 (2012).","journal-title":"J Anim Sci"},{"key":"ref18","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/j.meatsci.2009.04.016","article-title":"Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review","volume":"83","author":"Prieto N","year":"2009","unstructured":"Prieto, N., Roehe, R., Lav\u00edn, P., Batten, G. & Andr\u00e9s, S. Application of near infrared reflectance spectroscopy to predict meat and meat products quality: A review. Meat Sci 83, 175\u2013186 (2009).","journal-title":"Meat Sci"},{"key":"ref19","doi-asserted-by":"crossref","first-page":"104018","DOI":"10.1016\/j.jfca.2021.104018","article-title":"Use of NIRS for the assessment of meat quality traits in open-air free-range Iberian pigs","volume":"102","author":"Fern\u00e1ndez-Barroso M\u00c1","year":"2021","unstructured":"Fern\u00e1ndez-Barroso, M. \u00c1. et al. 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Prediction of texture and colour of dry-cured ham by visible and near infrared spectroscopy using a fiber optic probe","volume":"70","author":"Garc\u00eda-Rey RM","year":"2005","unstructured":"Garc\u00eda-Rey, R. M., Garc\u00eda-Olmo, J., De Pedro, E., Quiles-Zafra, R. & Luque de Castro, M. D. Prediction of texture and colour of dry-cured ham by visible and near infrared spectroscopy using a fiber optic probe. Meat Science 70, 357\u2013363 (2005).","journal-title":"Meat Science"},{"key":"ref22","doi-asserted-by":"crossref","first-page":"125","DOI":"10.1016\/j.aca.2005.11.038","article-title":"Sensitivity and specificity of PLS-class modelling for five sensory characteristics of dry-cured ham using visible and near infrared spectroscopy","volume":"558","author":"Ortiz MC","year":"2006","unstructured":"Ortiz, M. C., Sarabia, L., Garc\u00eda-Rey, R. & de Castro, M. D. L. Sensitivity and specificity of PLS-class modelling for five sensory characteristics of dry-cured ham using visible and near infrared spectroscopy. Analytica Chimica Acta 558, 125\u2013131 (2006).","journal-title":"Analytica Chimica Acta"},{"key":"ref23","doi-asserted-by":"crossref","first-page":"373","DOI":"10.1016\/j.foodchem.2010.06.031","article-title":"Rapid determination of the fatty acid profile in pork dry-cured sausages by NIR spectroscopy","volume":"124","author":"Fern\u00e1ndez-Caban\u00e1s VM","year":"2011","unstructured":"Fern\u00e1ndez-Caban\u00e1s, V. M., Polvillo, O., Rodr\u00edguez-Acu\u00f1a, R., Botella, B. & Horcada, A. Rapid determination of the fatty acid profile in pork dry-cured sausages by NIR spectroscopy. Food Chemistry 124, 373\u2013378 (2011).","journal-title":"Food Chemistry"},{"key":"ref24","first-page":"205","article-title":"Accuracy of Near Infrared Spectroscopy to Predict Quality of Pork and Pork Products Including Samples of Kr\u0161kopolje and Turopolje Pigs","volume":"82","author":"Prevolnik Pov\u0161e M","year":"2017","unstructured":"Prevolnik Pov\u0161e, M. et al. Accuracy of Near Infrared Spectroscopy to Predict Quality of Pork and Pork Products Including Samples of Kr\u0161kopolje and Turopolje Pigs. Agriculturae Conspectus Scientificus 82, 205\u2013209 (2017).","journal-title":"Agriculturae Conspectus Scientificus"},{"key":"ref25","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1255\/jnirs.294","article-title":"The Transfer of Fatty Acid Calibration Equations Using Four Sets of Unsealed Liquid Standardisation Samples","volume":"9","author":"Garc\u00eda-Olmo J","year":"2001","unstructured":"Garc\u00eda-Olmo, J., Garrido-Varo, A. & De Pedro, E. The Transfer of Fatty Acid Calibration Equations Using Four Sets of Unsealed Liquid Standardisation Samples. Journal of Near Infrared Spectroscopy 9, 49\u201362 (2001).","journal-title":"Journal of Near Infrared Spectroscopy"},{"key":"ref26","doi-asserted-by":"crossref","first-page":"1829","DOI":"10.1017\/S1751731111000814","article-title":"Prediction of fat quality in pig carcasses by near-infrared spectroscopy","volume":"5","author":"Gjerlaug-Enger E","year":"2011","unstructured":"Gjerlaug-Enger, E., Kongsro, J., Aass, L., \u00d8deg\u00e5rd, J. & Vangen, O. Prediction of fat quality in pig carcasses by near-infrared spectroscopy. Animal 5, 1829\u20131841 (2011).","journal-title":"Animal"},{"key":"ref27","doi-asserted-by":"crossref","first-page":"503","DOI":"10.1016\/j.meatsci.2013.05.020","article-title":"Prediction of fatty acids content in pig adipose tissue by near infrared spectroscopy: At-line versus in-situ analysis","volume":"95","author":"Zamora-Rojas E","year":"2013","unstructured":"Zamora-Rojas, E., Garrido-Varo, A., De Pedro-Sanz, E., Guerrero-Ginel, J. E. & P\u00e9rez-Mar\u00edn, D. Prediction of fatty acids content in pig adipose tissue by near infrared spectroscopy: At-line versus in-situ analysis. Meat Science 95, 503\u2013511 (2013).","journal-title":"Meat Science"},{"key":"ref28","doi-asserted-by":"crossref","first-page":"1548","DOI":"10.1017\/S1751731108002796","article-title":"Effects of feeding and rearing systems on growth, carcass composition and meat quality in pigs","volume":"2","author":"Lebret B","year":"2008","unstructured":"Lebret, B. Effects of feeding and rearing systems on growth, carcass composition and meat quality in pigs. Animal 2, 1548\u20131558 (2008).","journal-title":"Animal"},{"key":"ref29","volume-title":"Multivariate calibration. In: Optik, Bruker. vol.\u00a0A Practical Guide for Developing Methods in the Quantitative Analytical Chemistry","author":"Conzen JP","year":"2014","unstructured":"Conzen, J. P. Multivariate calibration. In: Optik, Bruker. vol.\u00a0A Practical Guide for Developing Methods in the Quantitative Analytical Chemistry (Ettlingen, Germany, 2014)."},{"key":"ref30","article-title":"Koohmaraie. PRINCIPAL COMPONENT REGRESSION OF NEAR?INFRARED REFLECTANCE SPECTRA FOR BEEF TENDERNESS PREDICTION","volume":"44","author":"Park YR","year":"2001","unstructured":"Park, Y. R. Chen, W. R. Hruschka, S. D. Shackelford, & M. Koohmaraie. PRINCIPAL COMPONENT REGRESSION OF NEAR?INFRARED REFLECTANCE SPECTRA FOR BEEF TENDERNESS PREDICTION. Transactions of the ASAE 44, (2001).","journal-title":"Transactions of the ASAE"},{"key":"ref31","doi-asserted-by":"crossref","first-page":"116157","DOI":"10.1016\/j.trac.2020.116157","article-title":"A guide to good practice in chemometric methods for vibrational spectroscopy, electrochemistry, and hyphenated mass spectrometry","volume":"135","author":"Peris-D\u00edaz MD","year":"2021","unstructured":"Peris-D\u00edaz, M. D. & Kr\u0119\u017cel, A. A guide to good practice in chemometric methods for vibrational spectroscopy, electrochemistry, and hyphenated mass spectrometry. TrAC Trends in Analytical Chemistry 135, 116157 (2021).","journal-title":"TrAC Trends in Analytical Chemistry"},{"key":"ref32","doi-asserted-by":"crossref","first-page":"103257","DOI":"10.1016\/j.jfca.2019.103257","article-title":"NIRs calibration models for chemical composition and fatty acid families of raw and freeze-dried beef: A comparison","volume":"83","author":"Giaretta E","year":"2019","unstructured":"Giaretta, E. et al. NIRs calibration models for chemical composition and fatty acid families of raw and freeze-dried beef: A comparison. Journal of Food Composition and Analysis 83, 103257 (2019).","journal-title":"Journal of Food Composition and Analysis"},{"key":"ref33","doi-asserted-by":"crossref","first-page":"269","DOI":"10.1002\/fsn3.286","article-title":"Prediction of meat spectral patterns based on optical properties and concentrations of the major constituents","volume":"4","author":"ElMasry G","year":"2016","unstructured":"ElMasry, G. & Nakauchi, S. Prediction of meat spectral patterns based on optical properties and concentrations of the major constituents. Food Science & Nutrition 4, 269\u2013283 (2016).","journal-title":"Food Science & Nutrition"},{"key":"ref34","doi-asserted-by":"crossref","first-page":"2177","DOI":"10.1021\/jz400559a","article-title":"Spectroscopic Imaging of Deep Tissue through Photoacoustic Detection of Molecular Vibration","volume":"4","author":"Wang P","year":"2013","unstructured":"Wang, P., Rajian, J. R. & Cheng, J.-X. Spectroscopic Imaging of Deep Tissue through Photoacoustic Detection of Molecular Vibration. J Phys Chem Lett 4, 2177\u20132185 (2013).","journal-title":"J Phys Chem Lett"},{"key":"ref35","doi-asserted-by":"crossref","first-page":"243","DOI":"10.1016\/j.meatsci.2004.07.003","article-title":"On-line determination of fatty acid composition in intramuscular fat of Iberian pork loin by NIRs with a remote reflectance fibre optic probe","volume":"69","author":"Gonz\u00e1lez-Mart\u00edn I","year":"2005","unstructured":"Gonz\u00e1lez-Mart\u00edn, I., Gonz\u00e1lez-P\u00e9rez, C., Alvarez-Garc\u00eda, N. & Gonz\u00e1lez-Cabrera, J. M. On-line determination of fatty acid composition in intramuscular fat of Iberian pork loin by NIRs with a remote reflectance fibre optic probe. Meat Science 69, 243\u2013248 (2005).","journal-title":"Meat Science"},{"key":"ref36","doi-asserted-by":"crossref","first-page":"15","DOI":"10.1016\/j.meatsci.2018.01.009","article-title":"Identification of ground meat species using near-infrared spectroscopy and class modeling techniques \u2013 Aspects of optimization and validation using a one-class classification model","volume":"139","author":"Pieszczek L","year":"2018","unstructured":"Pieszczek, L., Czarnik-Matusewicz, H. & Daszykowski, M. Identification of ground meat species using near-infrared spectroscopy and class modeling techniques \u2013 Aspects of optimization and validation using a one-class classification model. Meat Science 139, 15\u201324 (2018).","journal-title":"Meat Science"},{"key":"ref37","doi-asserted-by":"crossref","first-page":"89","DOI":"10.1255\/jnirs.125","article-title":"Fern\u00e1ndez-Caban\u00e1s, V. Use of Difference near Infrared Reflectance Spectra to Extract Relevant Information from the Spectra of Agro\u2013Food Products","volume":"6","author":"Garrido-Varo A","year":"1998","unstructured":"Garrido-Varo, A., Carrete, R. & Fern\u00e1ndez-Caban\u00e1s, V. Use of Difference near Infrared Reflectance Spectra to Extract Relevant Information from the Spectra of Agro\u2013Food Products. Journal of Near Infrared Spectroscopy 6, 89\u201395 (1998).","journal-title":"Journal of Near Infrared Spectroscopy"},{"key":"ref38","article-title":"W.-J. Near-infrared Absorption Property of Biological Soft Tissue Constituents","volume":"21","author":"Tsai C-L","year":"2001","unstructured":"Tsai, C.-L. & Wang, J.-C. C. W.-J. Near-infrared Absorption Property of Biological Soft Tissue Constituents. J. Med. Biol. Eng. 21, (2001).","journal-title":"J. Med. Biol. Eng."},{"key":"ref39","doi-asserted-by":"crossref","first-page":"627","DOI":"10.1016\/j.meatsci.2009.07.012","article-title":"Garrido-Varo, A. A feasibility study on the use of near-infrared spectroscopy for prediction of the fatty acid profile in live Iberian pigs and carcasses","volume":"83","author":"P\u00e9rez-Mar\u00edn D","year":"2009","unstructured":"P\u00e9rez-Mar\u00edn, D., De Pedro Sanz, E., Guerrero-Ginel, J. E. & Garrido-Varo, A. A feasibility study on the use of near-infrared spectroscopy for prediction of the fatty acid profile in live Iberian pigs and carcasses. Meat Science 83, 627\u2013633 (2009).","journal-title":"Meat Science"},{"key":"ref40","article-title":"Determination of Fatty Acid Composition and Consistency of Raw Pig Fat with near Infrared Spectroscopy","author":"M\u00fcller M","year":"2008","unstructured":"M\u00fcller, M. & Scheeder, M. R. L. Determination of Fatty Acid Composition and Consistency of Raw Pig Fat with near Infrared Spectroscopy. https:\/\/journals.sagepub.com\/doi\/epdf\/10.1255\/jnirs.792 (2008) doi:10.1255\/jnirs.792."},{"key":"ref41","doi-asserted-by":"crossref","first-page":"417","DOI":"10.1017\/S1357729800051766","article-title":"Study of dissected lamb muscles by visible and near infrared reflectance spectroscopy for composition assessment","volume":"70","author":"Cozzolino D","year":"2000","unstructured":"Cozzolino, D., Murray, I., Scaife, J. R. & Paterson, R. Study of dissected lamb muscles by visible and near infrared reflectance spectroscopy for composition assessment. Animal Science 70, 417\u2013423 (2000).","journal-title":"Animal Science"},{"key":"ref42","doi-asserted-by":"crossref","first-page":"1180","DOI":"10.1080\/10942912.2018.1460606","article-title":"Predicting of intramuscular fat content in pork using near infrared spectroscopy and multivariate analysis","volume":"21","author":"Fan Y","year":"2018","unstructured":"Fan, Y., Liao, Y. & Cheng, F. Predicting of intramuscular fat content in pork using near infrared spectroscopy and multivariate analysis. International Journal of Food Properties 21, 1180\u20131189 (2018).","journal-title":"International Journal of Food Properties"},{"key":"ref43","doi-asserted-by":"crossref","first-page":"511","DOI":"10.1016\/j.meatsci.2011.09.019","article-title":"Quality of meat and meat products produced from southern European pig breeds","volume":"90","author":"Pugliese C","year":"2012","unstructured":"Pugliese, C. & Sirtori, F. Quality of meat and meat products produced from southern European pig breeds. Meat Sci 90, 511\u2013518 (2012).","journal-title":"Meat Sci"},{"key":"ref44","doi-asserted-by":"crossref","first-page":"514","DOI":"10.1080\/09712119.2019.1675669","article-title":"Near Infrared Spectroscopy technology for prediction of chemical composition of natural fresh pastures","volume":"47","author":"Parrini S","year":"2019","unstructured":"Parrini, S., Acciaioli, A., Franci, O., Pugliese, C. & Bozzi, R. Near Infrared Spectroscopy technology for prediction of chemical composition of natural fresh pastures. Journal of Applied Animal Research 47, 514\u2013520 (2019).","journal-title":"Journal of Applied Animal Research"},{"key":"ref45","doi-asserted-by":"crossref","first-page":"155","DOI":"10.1017\/S1751731110001618","article-title":"Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy","volume":"5","author":"Prieto N","year":"2011","unstructured":"Prieto, N. et al. Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy. Animal 5, 155\u2013165 (2011).","journal-title":"Animal"},{"key":"ref46","doi-asserted-by":"crossref","first-page":"241","DOI":"10.1016\/j.chemolab.2007.02.004","article-title":"Chemometric utilities to achieve robustness in liquid NIRS calibrations: Application to pig fat analysis","volume":"87","author":"P\u00e9rez-Mar\u00edn D","year":"2007","unstructured":"P\u00e9rez-Mar\u00edn, D., Garrido-Varo, A., De Pedro, E. & Guerrero-Ginel, J. E. Chemometric utilities to achieve robustness in liquid NIRS calibrations: Application to pig fat analysis. Chemometrics and Intelligent Laboratory Systems 87, 241\u2013246 (2007).","journal-title":"Chemometrics and Intelligent Laboratory Systems"},{"key":"ref47","doi-asserted-by":"crossref","first-page":"433","DOI":"10.1016\/j.meatsci.2004.10.002","article-title":"Determination of C22:5 and C22:6 marine fatty acids in pork fat with Fourier transform mid-infrared spectroscopy","volume":"69","author":"Fl\u00e5tten A","year":"2005","unstructured":"Fl\u00e5tten, A., Bryhni, E. A., Kohler, A., Egelandsdal, B. & Isaksson, T. Determination of C22:5 and C22:6 marine fatty acids in pork fat with Fourier transform mid-infrared spectroscopy. Meat Sci 69, 433\u2013440 (2005).","journal-title":"Meat Sci"},{"key":"ref48","author":"Williams PC","year":"2001","unstructured":"Williams, P. C. & Norris, K. Near-Infrared Technology in the Agricultural and Food Industries. (2001)."},{"key":"ref49","doi-asserted-by":"crossref","first-page":"25","DOI":"10.1255\/jnirs.3","article-title":"Comparison of Commercial near Infrared Transmittance and Reflectance Instruments for Analysis of Whole Grains and Seeds","volume":"1","author":"Williams PC","year":"1993","unstructured":"Williams, P. C. & Sobering, D. C. Comparison of Commercial near Infrared Transmittance and Reflectance Instruments for Analysis of Whole Grains and Seeds. J. Near Infrared Spectrosc., JNIRS 1, 25\u201332 (1993).","journal-title":"J. Near Infrared Spectrosc., JNIRS"},{"key":"ref50","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1255\/nirn.1419","article-title":"A Tutorial Note","volume":"25","author":"Williams P","year":"2014","unstructured":"Williams, P. The RPD Statistic: A Tutorial Note. NIR news 25, 22\u201326 (2014).","journal-title":"NIR news"},{"key":"ref51","doi-asserted-by":"crossref","first-page":"497","DOI":"10.1016\/S0021-9258(18)64849-5","article-title":"A simple method for the isolation and purification of total lipides from animal tissues","volume":"226","author":"Folch J","year":"1957","unstructured":"Folch, J., Lees, M. & Sloane Stanley, G. H. A simple method for the isolation and purification of total lipides from animal tissues. J Biol Chem 226, 497\u2013509 (1957).","journal-title":"J Biol Chem"},{"key":"ref52","doi-asserted-by":"crossref","DOI":"10.1016\/S0022-2275(20)40190-7","article-title":"ESTERS AND DIMETHYLACETALS FROM LIPIDS WITH BORON FLUORIDE\u2013METHANOL","author":"Morrison WR","year":"1964","unstructured":"Morrison, W. R. & Smith, L. PREPARATION OF FATTY ACID METHYL ESTERS AND DIMETHYLACETALS FROM LIPIDS WITH BORON FLUORIDE\u2013METHANOL. Journal of lipid research (1964).","journal-title":"Journal of lipid research"},{"key":"ref53","author":"Shenk JS","year":"1995","unstructured":"Shenk, J. S. & Westerhaus, M. O. Analysis of agriculture and food products by near infrared reflectance spectroscopy, monograph. NIR Systems Inc., Silver Spring, MD, USA (1995)."},{"key":"ref54","doi-asserted-by":"crossref","first-page":"22","DOI":"10.1255\/nirn.1419","article-title":"A Tutorial Note","volume":"25","author":"Williams P","year":"2014","unstructured":"Williams, P. The RPD Statistic: A Tutorial Note. NIR news 25, 22\u201326 (2014).","journal-title":"NIR news"},{"key":"ref55","doi-asserted-by":"crossref","first-page":"903","DOI":"10.13031\/2013.2986","article-title":"Near-infrared sensing of manure nutrients","volume":"43","author":"Millmier A","year":"2000","unstructured":"Millmier, A. et al. Near-infrared sensing of manure nutrients. Transactions of the American Society of Agricultural Engineers 43, 903\u2013908 (2000).","journal-title":"Transactions of the American Society of Agricultural Engineers"},{"key":"ref56","author":"Legend","unstructured":"Legend"}],"container-title":[],"original-title":[],"link":[{"URL":"https:\/\/www.researchsquare.com\/article\/rs-2669895\/v1","content-type":"text\/html","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/www.researchsquare.com\/article\/rs-2669895\/v1.html","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2023,10,17]],"date-time":"2023-10-17T02:32:31Z","timestamp":1697509951000},"score":1,"resource":{"primary":{"URL":"https:\/\/www.researchsquare.com\/article\/rs-2669895\/v1"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2023,3,20]]},"references-count":56,"URL":"https:\/\/doi.org\/10.21203\/rs.3.rs-2669895\/v1","relation":{"is-preprint-of":[{"id-type":"doi","id":"10.1038\/s41598-023-34996-x","asserted-by":"subject"}]},"subject":[],"published":{"date-parts":[[2023,3,20]]},"subtype":"preprint"}}