References
- Armstrong, P., Maghirang, E., Xie, F., Dowell, F. (2006). Comparison of dispersive and Fourier-transform NIR instruments for measuring grain and flour attributes. Applied Engineering in Agriculture, 22(3), 453-457. https://doi.org/10.13031/2013.20448
- Barlocco, N., Vadell, A., Ballesteros, F., Galietta, G., Cozzolino, D. (2006). Predicting intramuscular fat, moisture and Warner-Bratzler shear force in pork muscle using near infrared reflectance spectroscopy. Animal Science, 82(1), 111-116. https://doi.org/10.1079/ASC20055
- Barnes, R., Dhanoa, M. S., Lister, S. J. (1989). Standard normal variate transformation and de-trending of near-infrared diffuse reflectance spectra. Applied spectroscopy, 43(5), 772-777. https://doi.org/10.1366/0003702894202201
- Berhow, M. A., Singh, M., Bowman, M. J., Price, N. P., Vaughn, S. F., Liu, S. X. (2020). Quantitative NIR determination of isoflavone and saponin content of ground soybeans. Food Chemistry, 317, 126373. https://doi.org/10.1016/j.foodchem.2020.126373
- Camacho, W., Valles-Lluch, A., Ribes-Greus, A., Karlsson, S. (2003). Determination of moisture content in nylon 6, 6 by near-infrared spectroscopy and chemometrics. Journal of applied polymer science, 87(13), 2165-2170. https://doi.org/10.1002/app.11595
- Carlini, P., Massantini, R., Mencarelli, F. (2000). Vis-NIR measurement of soluble solids in cherry and apricot by PLS regression and wavelength selection. Journal of Agricultural and Food Chemistry, 48(11), 5236-5242. https://doi.org/10.1021/jf000408f
- Cho, H.-S., Ryu, J.-H., Liu, J. J. (2011). Development of an On-line Measurement Method for Clean Biofuel Based on Near Infrared Spectroscopy and Chemometrics. Clean Technology, 17(3), 215-224. https://doi.org/10.7464/KSCT.2011.17.3.215
- Correia, R. M., Tosato, F., Domingos, E., Rodrigues, R. R., Aquino, L. F. M., Filgueiras, P. R., Lacerda Jr, V., Romao, W. (2018). Portable near infrared spectroscopy applied to quality control of Brazilian coffee. Talanta, 176, 59-68. https://doi.org/10.1016/j.talanta.2017.08.009
- Cozzolino, D. (2009). Near infrared spectroscopy in natural products analysis. Planta medica, 75(07), 746-756. https://doi.org/10.1055/s-0028-1112220
- Cozzolino, D., Murray, I. (2002). Effect of sample presentation and animal muscle species on the analysis of meat by near infrared reflectance spectroscopy. Journal of Near Infrared Spectroscopy, 10(1), 37-44. https://doi.org/10.1255/jnirs.319
- Davey, M. W., Saeys, W., Hof, E., Ramon, H., Swennen, R. L., Keulemans, J. (2009). Application of visible and near-infrared reflectance spectroscopy (Vis/NIRS) to determine carotenoid contents in banana (Musa spp.) fruit pulp. Journal of Agricultural and Food Chemistry, 57(5), 1742-1751. https://doi.org/10.1021/jf803137d
- De Marchi, M., Manuelian, C. L., Ton, S., Manfrin, D., Meneghesso, M., Cassandro, M., Penasa, M. (2017). Prediction of sodium content in commercial processed meat products using near infrared spectroscopy. Meat Science, 125, 61-65. https://doi.org/10.1016/j.meatsci.2016.11.014
- De Marchi, M., Penasa, M., Battagin, M., Zanetti, E., Pulici, C., Cassandro, M. (2011). Feasibility of the direct application of near-infrared reflectance spectroscopy on intact chicken breasts to predict meat color and physical traits. Poultry Science, 90(7), 1594-1599. https://doi.org/10.3382/ps.2010-01239
- De Marchi, M., Penasa, M., Cecchinato, A., Bittante, G. (2013). The relevance of different near infrared technologies and sample treatments for predicting meat quality traits in commercial beef cuts. Meat Science, 93(2), 329-335. https://doi.org/10.1016/j.meatsci.2012.09.013
- De Marchi, M., Riovanto, R., Penasa, M., Cassandro, M. (2012). At-line prediction of fatty acid profile in chicken breast using near infrared reflectance spectroscopy. Meat Science, 90(3), 653-657. https://doi.org/10.1016/j.meatsci.2011.10.009
- de Oliveira, G. A., de Castilhos, F., Renard, C. M.-G. C., Bureau, S. (2014). Comparison of NIR and MIR spectroscopic methods for determination of individual sugars, organic acids and carotenoids in passion fruit. Food research international, 60, 154-162. https://doi.org/10.1016/j.foodres.2013.10.051
- de Souza, A. M., Filgueiras, P. R., Coelho, M. R., Fontana, A., Winkler, T. C. B., Valderrama, P., Poppi, R. J. (2016). Validation of the near infrared spectroscopy method for determining soil organic carbon by employing a proficiency assay for fertility laboratories. Journal of Near Infrared Spectroscopy, 24(3), 293-303. https://doi.org/10.1255/jnirs.1219
- Dickens, J. E. (2010). Overview of process analysis and PAT. spectroscopic tools and implemetation strategies for the chemical and pharmaceutical industries. Process analytical technology: Spectroscopic tools and implementation strategies for the chemical and pharmaceutical industries, 1-15.
- Fragoso, S., Acena, L., Guasch, J., Busto, O., Mestres, M. (2011). Application of FT-MIR spectroscopy for fast control of red grape phenolic ripening. Journal of Agricultural and Food Chemistry, 59(6), 2175-2183. https://doi.org/10.1021/jf104039g
- Guthrie, J., Greensill, C., Bowden, R., Walsh, K. (2004). Assessment of quality defects in macadamia kernels using NIR spectroscopy. Australian journal of agricultural research, 55(4), 471-476. https://doi.org/10.1071/AR03179
- Guy, F., Prache, S., Thomas, A., Bauchart, D., Andueza, D. (2011). Prediction of lamb meat fatty acid composition using near-infrared reflectance spectroscopy (NIRS). Food Chemistry, 127(3), 1280-1286. https://doi.org/10.1016/j.foodchem.2011.01.084
- Herrera, J., Guesalaga, A., Agosin, E. (2003). Shortwave-near infrared spectroscopy for non-destructive determination of maturity of wine grapes. Measurement Science and Technology, 14(5), 689. https://doi.org/10.1088/0957-0233/14/5/320
- Huck, C., Guggenbichler, W., Bonn, G. (2005). Analysis of caffeine, theobromine and theophylline in coffee by near infrared spectroscopy (NIRS) compared to high-performance liquid chromatography (HPLC) coupled to mass spectrometry. Analytica chimica acta, 538(1-2), 195-203. https://doi.org/10.1016/j.aca.2005.01.064
- Jamrogiewicz, M. (2012). Application of the near-infrared spectroscopy in the pharmaceutical technology. Journal of pharmaceutical and biomedical analysis, 66, 1-10. https://doi.org/10.1016/j.jpba.2012.03.009
- Kapper, C., Klont, R., Verdonk, J., Urlings, H. (2012). Prediction of pork quality with near infrared spectroscopy (NIRS): 1. Feasibility and robustness of NIRS measurements at laboratory scale. Meat Science, 91(3), 294-299. https://doi.org/10.1016/j.meatsci.2012.02.005
- Kim, Y. J., Lee, H. J., Shin, H. S., Shin, Y. (2014). Near-infrared reflectance spectroscopy as a rapid and non-destructive analysis tool for curcuminoids in turmeric. Phytochemical Analysis, 25(5), 445-452. https://doi.org/10.1002/pca.2514
- Liao, Y.-T., Fan, Y.-X., Cheng, F. (2010). On-line prediction of fresh pork quality using visible/near-infrared reflectance spectroscopy. Meat Science, 86(4), 901-907. https://doi.org/10.1016/j.meatsci.2010.07.011
- Liu, C., Liu, W., Chen, W., Yang, J., Zheng, L. (2015). Feasibility in multispectral imaging for predicting the content of bioactive compounds in intact tomato fruit. Food Chemistry, 173, 482-488. https://doi.org/10.1016/j.foodchem.2014.10.052
- Lucas, A., Andueza, D., Rock, E., Martin, B. (2008). Prediction of dry matter, fat, pH, vitamins, minerals, carotenoids, total antioxidant capacity, and color in fresh and freeze-dried cheeses by visible-near-infrared reflectance spectroscopy. Journal of Agricultural and Food Chemistry, 56(16), 6801-6808. https://doi.org/10.1021/jf800615a
- Macho, S., Larrechi, M. (2002). Near-infrared spectroscopy and multivariate calibration for the quantitative determination of certain properties in the petrochemical industry. TrAC Trends in Analytical Chemistry, 21(12), 799-806. https://doi.org/10.1016/S0165-9936(02)01202-5
- Magwaza, L. S., Naidoo, S. I. M., Laurie, S. M., Laing, M. D., Shimelis, H. (2016). Development of NIRS models for rapid quantification of protein content in sweetpotato [Ipomoea batatas (L.) LAM.]. LWT-Food Science and Technology, 72, 63-70. https://doi.org/10.1016/j.lwt.2016.04.032
- Melfsen, A., Hartung, E., Haeussermann, A. (2012). Accuracy of milk composition analysis with near infrared spectroscopy in diffuse reflection mode. Biosystems engineering, 112(3), 210-217. https://doi.org/10.1016/j.biosystemseng.2012.04.003
- Mourot, B.-P., Gruffat, D., Durand, D., Chesneau, G., Mairesse, G., Andueza, D. (2015). Breeds and muscle types modulate performance of near-infrared reflectance spectroscopy to predict the fatty acid composition of bovine meat. Meat Science, 99, 104-112. https://doi.org/10.1016/j.meatsci.2014.08.014
- Nicolai, B. M., Beullens, K., Bobelyn, E., Peirs, A., Saeys, W., Theron, K. I., Lammertyn, J. (2007). Nondestructive measurement of fruit and vegetable quality by means of NIR spectroscopy: A review. Postharvest biology and technology, 46(2), 99-118. https://doi.org/10.1016/j.postharvbio.2007.06.024
- Niu, X., Zhao, Z., Jia, K., Li, X. (2012). A feasibility study on quantitative analysis of glucose and fructose in lotus root powder by FT-NIR spectroscopy and chemometrics. Food Chemistry, 133(2), 592-597. https://doi.org/10.1016/j.foodchem.2012.01.064
- Ortiz-Somovilla, V., Espana-Espana, F., Gaitan-Jurado, A., Perez-Aparicio, J., De Pedro-Sanz, E. (2007). Proximate analysis of homogenized and minced mass of pork sausages by NIRS. Food Chemistry, 101(3), 1031-1040. https://doi.org/10.1016/j.foodchem.2006.02.058
- Park, J. R., Kang, H. H., Cho, J. K., Moon, K. D., Kim, Y. J. (2020). Application of non-destructive rapid determination of Piperine in Piper nigrum L.(black pepper) using NIR and multivariate statistical analysis: a promising quality control tool. Foods, 9(10), 1437. https://doi.org/10.3390/foods9101437
- Park, J. R., Kang, H. H., Cho, J. K., Moon, K. D., Kim, Y. J. (2020). Feasibility of rapid piperine quantification in whole and black pepper using near infrared spectroscopy and chemometrics. Journal of Food Science, 85(10), 3094-3101. https://doi.org/10.1111/1750-3841.15428
- Porep, J. U., Kammerer, D. R., Carle, R. (2015). On-line application of near infrared (NIR) spectroscopy in food production. Trends in Food Science & Technology, 46(2), 211-230. https://doi.org/10.1016/j.tifs.2015.10.002
- Prieto, N., Ross, D., Navajas, E., Richardson, R., Hyslop, J., Simm, G., Roehe, R. (2011). Online prediction of fatty acid profiles in crossbred Limousin and Aberdeen Angus beef cattle using near infrared reflectance spectroscopy. animal, 5(1), 155-165. https://doi.org/10.1017/s1751731110001618
- Pullanagari, R. R., Yule, I. J., Agnew, M. (2015). On-line prediction of lamb fatty acid composition by visible near infrared spectroscopy. Meat Science, 100, 156-163. https://doi.org/10.1016/j.meatsci.2014.10.008
- Rinnan, A., Van Den Berg, F., Engelsen, S. B. (2009). Review of the most common pre-processing techniques for near-infrared spectra. TrAC Trends in Analytical Chemistry, 28(10), 1201-1222. https://doi.org/10.1016/j.trac.2009.07.007
- Riovanto, R., De Marchi, M., Cassandro, M., Penasa, M. (2012). Use of near infrared transmittance spectroscopy to predict fatty acid composition of chicken meat. Food Chemistry, 134(4), 2459-2464. https://doi.org/10.1016/j.foodchem.2012.04.038
- Salguero-Chaparro, L., Pena-Rodriguez, F. (2014). On-line versus off-line NIRS analysis of intact olives. LWT-Food Science and Technology, 56(2), 363-369. https://doi.org/10.1016/j.lwt.2013.11.032
- Savitzky, A., Golay, M. J. (1964). Smoothing and differentiation of data by simplified least squares procedures. Analytical chemistry, 36(8), 1627-1639. https://doi.org/10.1021/ac60214a047
- Schmutzler, M., Huck, C. W. (2016). Simultaneous detection of total antioxidant capacity and total soluble solids content by Fourier transform near-infrared (FT-NIR) spectroscopy: a quick and sensitive method for on-site analyses of apples. Food Control, 66, 27-37. https://doi.org/10.1016/j.foodcont.2016.01.026
- Schulz, H., Baranska, M., Quilitzsch, R., Schutze, W., Losing, G. (2005). Characterization of peppercorn, pepper oil, and pepper oleoresin by vibrational spectroscopy methods. Journal of Agricultural and Food Chemistry, 53(9), 3358-3363. https://doi.org/10.1021/jf048137m
- Schulz, H., Drews, H.-H., Quilitzsch, R., Kruger, H. (1998). Application of near infrared spectroscopy for the quantification of quality parameters in selected vegetables and essential oil plants. Journal of Near Infrared Spectroscopy, 6(201), A125-A130. https://doi.org/10.1255/jnirs.179
- Shiroma, C., Rodriguez-Saona, L. (2009). Application of NIR and MIR spectroscopy in quality control of potato chips. Journal of Food Composition and Analysis, 22(6), 596-605. https://doi.org/10.1016/j.jfca.2008.09.003
- Sirisomboon, P., Tanaka, M., Fujita, S., Kojima, T. (2007). Evaluation of pectin constituents of Japanese pear by near infrared spectroscopy. Journal of food engineering, 78(2), 701-707. https://doi.org/10.1016/j.jfoodeng.2005.11.009
- Valderrama, P., Braga, J. W. B., Poppi, R. J. (2007). Variable selection, outlier detection, and figures of merit estimation in a partial least-squares regression multivariate calibration model. A case study for the determination of quality parameters in the alcohol industry by near-infrared spectroscopy. Journal of Agricultural and Food Chemistry, 55(21), 8331-8338. https://doi.org/10.1021/jf071538s
- Vilar, W. T. S., Barbosa, M. F., Pinto, L., de Araujo, M. C. U., Pontes, M. J. C. (2020). Determination of N, N-diethyl-3-methylbenzamide and ethyl-butyl-acetylaminopropionate in insect repellent using near infrared spectroscopy and multivariate calibration. Microchemical Journal, 152, 104285. https://doi.org/10.1016/j.microc.2019.104285
- Wang, X., Huang, J., Fan, W., Lu, H. (2015). Identification of green tea varieties and fast quantification of total polyphenols by near-infrared spectroscopy and ultraviolet-visible spectroscopy with chemometric algorithms. Analytical Methods, 7(2), 787-792. https://doi.org/10.1039/C4AY02106A
- Wu, W., Walczak, B., Massart, D., Prebble, K., Last, I. (1995). Spectral transformation and wavelength selection in near-infrared spectra classification. Analytica chimica acta, 315(3), 243-255. https://doi.org/10.1016/0003-2670(95)00347-3
- Zhou, L., Wu, H., Li, J., Wang, Z., Zhang, L. (2012). Determination of fatty acids in broiler breast meat by near-infrared reflectance spectroscopy. Meat Science, 90(3), 658-664. https://doi.org/10.1016/j.meatsci.2011.10.010