Abstract
Lactose hydrolyzed milk was developed in the 1970s to serve individuals with lactose intolerance. This demand for lactose-free products by lactose-intolerant consumers has created a market segment for this food whose quality control has to be guaranteed. In order to assess milk samples for lactose content, this work proposes an analytical methodology to classify regular and lactose-free ultra high temperature (UHT) milks using multivariate classification methods and NIR spectra obtained in FT-NIR and ultra-compact NIR spectrometers, aiming at field analysis. For this, 71 samples were purchased; 41 were lactose-free UHT milk and 30 regular UHT milk. Diffuse transflectance spectra were obtained by FT-NIR (833 to 2500 nm, 4 cm−1 of resolution and mean of 16 scans), and by ultra-compact NIR (908 to 1676 nm, with 12.5 nm of resolution and mean of 50 scans). The classification models were obtained by PLS-DA and LDA techniques with robust variables selection by SPA and GA, evaluating different spectral pre-processing (MSC, SNV, and derivatives). The three models developed (PLS-DA, GA-LDA, and SPA-LDA) with benchtop equipment spectra correctly classified all samples with sensitivity and specificity of 100%. For the portable equipment spectra, PLS-DA and GA-LDA models obtained sensitivity and specificity of 100%. The SPA-LDA model, however, presented sensitivity and specificity of 80 and 100%, respectively. These results indicate that methodologies using NIR equipment, especially the ultra-compact NIR, with multivariate classification techniques are feasible in discrimination between regular and lactose-free milk in the field, thus enabling a quick and precise analysis.
Similar content being viewed by others
References
Agelet LE, Hurburgh CR Jr (2014) Limitations and current applications of near infrared spectroscopy for single seed analysis. Talanta 121:288–299. https://doi.org/10.1016/j.talanta.2013.12.038
Aliakbarian B, Casale M, Paini M, Casazza AA, Lanteri S, Perego P (2015) Production of a novel fermented milk fortified with natural antioxidants and its analysis by NIR spectroscopy. LWT Food Sci Technol 62(1):376–383. https://doi.org/10.1016/j.lwt.2014.07.037
Ayvaz H, Rodriguez-Saona LE (2015) Application of handheld and portable spectrometers for screening acrylamide content in commercial potato chips. Food Chem 174:154–162. https://doi.org/10.1016/j.foodchem.2014.11.001
Bahna SL (1996) Is it milk allergy or lactose intolerance? Immunol Allergy Clin N Am 16(1):187–198. https://doi.org/10.1016/S0889-8561(05)70242-3
Borràs E, Amigo JM, Berg FVD, Boqué R, Busto O (2014) Fast and robust discrimination of almonds (Prunus amygdalus) with respect to their bitterness by using near infrared and partial least squares-discriminant analysis. Food Chem 153:15–19. https://doi.org/10.1016/j.foodchem.2013.12.032
Brito ALB, Brito LR, Honorato FA, Pontes MJC, Pontes LFBL (2013) Classification of cereal bars using near infrared spectroscopy and linear discriminant analysis. Food Res Int 51(2):924–928. https://doi.org/10.1016/j.foodres.2013.02.014
Bunaciu AA, Aboul-Enein HY, Hoang VD (2016) Vibrational spectroscopy used in milk products analysis: a review. Food Chem 196:877–884. https://doi.org/10.1016/j.foodchem.2015.10.016
Conte-Junior CA, Silveira MF, Masson LMP, Martins JFP, Álvares TS, Paschoalin VMF, Torre CL (2015) Simultaneous determination of lactulose and lactose in conserved milk by HPLC-RID. J Chem 2015:1–6. https://doi.org/10.1155/2015/185967
Cozzolino D (2015) The role of vibrational spectroscopy as a tool to assess economically motivated fraud and counterfeit issues in agricultural products and foods. Anal Methods 7(22):9390–9400. https://doi.org/10.1039/c5ay01792k
Ferreira MMC (2015) Calibração – Métodos de regressão. In: Ferreira MMC (ed) Quimiometria – conceitos, métodos e aplicações. Unicamp Editor, Campinas, pp 251–404
Gänzle MG, Haase G, Jelen P (2008) Lactose: crystallization, hydrolysis and value-added derivatives. Int Dairy J 18(7):685–694. https://doi.org/10.1016/j.idairyj.2008.03.003
Ghosh S, Roy RB (1988) Quantitative near-infra-red analysis of reducing sugar from the surface of cotton. J Text Inst 79(3):504–510. https://doi.org/10.1080/00405008808658283
Giangiacomo R, Magee JB, Birth GS, Dull GG (1981) Predicting concentrations of individual sugars in dry mixtures by near-infrared reflectance spectroscopy. J Food Sci 46(2):531–534. https://doi.org/10.1111/j.1365-2621.1981.tb04903.x
Golic M, Walsh K, Lawson P (2003) Short-wavelength near-infrared spectra of sucrose, glucose, and fructose with respect to sugar concentration and temperature. Appl Spectrosc 57(2):139–145. https://doi.org/10.1366/000370203321535033
Harju M, Kallioinen H, Tossavainen O (2012) Lactose hydrolysis and other conversions in dairy products: technological aspects. Int Dairy J 22(2):104–109. https://doi.org/10.1016/j.idairyj.2011.09.011
Huang Y, Wu Z, Su R, Ruan G, Du F, Li G (2016) Current application of chemometrics in traditional Chinese herbal medicine research. J Chromatogr B 1026:27–35. https://doi.org/10.1016/j.jchromb.2015.12.050
Huck CW (2015) Advances of infrared spectroscopy in natural product research. Phytochem Lett 11:384–393. https://doi.org/10.1016/j.phytol.2014.10.026
Illanes A (2016) Lactose: production and upgrading. In: Illanes a et al. lactose-derived prebiotics - a process perspective, 1st edn. Academic Press, Cambridge, pp 1–33. https://doi.org/10.1016/B978-0-12-802724-0.00001-9
Indyk HE, Edwards MJ, Woolard DC (1996) High performance liquid chromatographic analysis of lactose-hydrolysed milk. Food Chem 57(4):575–580. https://doi.org/10.1016/S0308-8146(96)00195-1
Jelen P, Tossavainen O (2003) Low lactose and lactose-free milk and dairy products – prospects, technologies and applications. Aust J Dairy Technol 58(2):161–165
Kennard RW, Stone LA (1969) Computer aided design of experiments. Technometrics 11(1):137–148. https://doi.org/10.2307/1266770
Lu C, Xiang B, Hao G, Xu J, Wang Z, Chen C (2009) Rapid detection of melamine in milk powder by near infrared spectroscopy. J Near Infrared Spectrosc 17:59–67. https://doi.org/10.1255/jnirs.829
Mabood F, Jabeen F, Ahmed M, Hussain J, al Mashaykhi SAA, al Rubaiey ZMA, Farooq S, Boqué R, Ali L, Hussain Z, al-Harrasi A, Khan AL, Naureen Z, Idrees M, Manzoor S (2017) Development of new NIR-spectroscopy method combined with multivariate analysis for detection of adulteration in camel milk with goat milk. Food Chem 221:746–750. https://doi.org/10.1016/j.foodchem.2016.11.109
Marquetti I, Link JV, Lemes ALG, Scholz MBS, Valderrama P, Bona E (2016) Partial least square with discriminant analysis and near infrared spectroscopy for evaluation of geographic and genotypic origin of arabica coffee. Comput Eletron Agric 121:313–319. https://doi.org/10.1016/j.compag.2015.12.018
Melfsen A, Hartung E, Haeussermann A (2012) Accuracy of milk composition analysis with near infrared spectroscopy in diffuse reflection mode. Biosyst Eng 112(3):210–217. https://doi.org/10.1016/j.biosystemseng.2012.04.003
Modroño S, Soldado A, Martínez-Fernández A, Roza-Delgado B (2017) Handheld NIRS sensors for routine compound feed quality control: real time analysis and field monitoring. Talanta 162:597–603. https://doi.org/10.1016/j.talanta.2016.10.075
Moreira EDT, Pontes MJC, Galvão RKH, Araújo MCU (2009) Near infrared reflectance spectrometry classification of cigarettes using the successive projections algorithm for variable selection. Talanta 79(5):1260–1264. https://doi.org/10.1016/j.talanta.2009.05.031
Morlock GE, Morlock LP, Lemo C (2014) Streamlined analysis of lactose-free dairy products. J Chromatogr A 1324:215–223. https://doi.org/10.1016/j.chroma.2013.11.038
Núñez-Sánchez N, Martínez-Marín AL, Polvillo O, Fernández-Cabanás VM, Carrizosa J, Urrutia B, Serradilla JM (2016) Near infrared spectroscopy (NIRS) for the determination of the milk fat fatty acid profile of goats. Food Chem 190:244–252. https://doi.org/10.1016/j.foodchem.2015.05.083
Oliveri P, Downey G (2012) Multivariate class modeling for the verification of food-authenticity claims. Trends Analyt Chem 35:74–86. https://doi.org/10.1016/j.trac.2012.02.005
Paiva EM, Rohwedder JJR, Pasquini C, Pimentel MF, Pereira CF (2015) Quantification of biodiesel and adulteration with vegetable oils in diesel/biodiesel blends using portable near-infrared spectrometer. Fuel 160:57–63. https://doi.org/10.1016/j.fuel.2015.07.067
Pontes MJC, Galvão RKH, Araújo MCU, Moreira PNT, Neto ODP, José GE, Saldanha TCB (2005) The successive projections algorithm for spectral variable selection in classification problems. Chemom Intell Lab Syst 78(1–2):11–18. https://doi.org/10.1016/j.chemolab.2004.12.001
Pontes MJC, Pereira CF, Pimentel MF, Vasconcelos FVC, Silva AGB (2011) Screening analysis to detect adulteration in diesel/biodiesel blends using near infrared spectrometry and multivariate classification. Talanta 85(4):2159–2165. https://doi.org/10.1016/j.talanta.2011.07.064
Qu JH, Liu D, Cheng JH, Sun DW, Ma J, Pu H, Zeng XA (2015) Applications of near-infrared spectroscopy in food safety evaluation and control: a review of recent research advances. Crit Rev Food Sci Nutr 55(13):1939–1954. https://doi.org/10.1080/10408398.2013.871693
Robert C, Cadet F (1998) Analysis of near-infrared spectra of some carbohydrates. Appl Spectrosc Rev 33(3):253–266. https://doi.org/10.1080/05704929808006780
Rodriguez-Saona LE, Pereira-Filho ER, Santos PM (2013) Application of hand-held and portable infrared spectrometers in bovine milk analysis. J Agric Food Chem 61:1205–1211. https://doi.org/10.1021/jf303814g
Ruiz-Matute AI, Corzo-Martínez M, Montilla A, Olano A, Copovi P, Corzo N (2012) Presence of mono-, di- and galactooligosaccharides in commercial lactose-free UHT dairy products. J Food Compos Anal 28(2):164–169. https://doi.org/10.1016/j.jfca.2012.06.003
Santos CAT, Páscoa RNMJ, Lopes JA (2017) A review on the application of vibrational spectroscopy in the wine industry: from soil to bottle. TrAC - Trends Anal Chem 88:100–118. https://doi.org/10.1016/j.trac.2016.12.012
Savitzky A, Golay MJE (1964) Smoothing and differentiation of data by simplified least squares procedures. Anal Chem 36(8):1627–1639. https://doi.org/10.1021/ac60214a047
Schuster-Wolff-Bühring R, Michel R, Hinrichs J (2011) A new liquid chromatography method for simultaneous and sensitive quantification of lactose and lactulose in milk. Dairy Sci Technol 91(1):27–37. https://doi.org/10.1051/dst/2010034
Silva CS, Borba FSL, Pimentel MF, Pontes MJC, Honorato RS, Pasquini C (2013) Classification of blue pen ink using infrared spectroscopy and linear discriminant analysis. Microchem J 109:122–127. https://doi.org/10.1016/j.microc.2012.03.025
Silva NC, Cavalcanti CJ, Honorato FH, Amigo JM, Pimentel MF (2017a) Standardization from a benchtop to a handheld NIR spectrometer using mathematically mixed NIR spectra to determine fuel quality parameters. Anal Chim Acta 954:32–42. https://doi.org/10.1016/j.aca.2016.12.018
Silva VH, Silva JS, Pereira CF (2017b) Portable near-infrared instruments: application for quality control of polymorphs in pharmaceutical raw materials and calibration transfer. J Pharm Biomed Anal 134:287–294. https://doi.org/10.1016/j.jpba.2016.11.036
Tsenkova R, Atanassova S, Toyoda K, Ozaki Y, Itoh K, Fearn T (1999) Near-infrared spectroscopy for dairy management: measurement of unhomogenized milk composition. J Dairy Sci 82(11):2344–2351. https://doi.org/10.3168/jds.S0022-0302(99)75484-6
Valenti B, Martin B, Andueza D, Leroux C, Labonne C, Lahalle F, Larroque H, Brunschwig P, Lecomte C, Brochard M, Ferlay A (2013) Infrared spectroscopic methods for the discrimination of cows' milk according to the feeding system, cow breed and altitude of the dairy farm. Int Dairy J 32(1):26–32. https://doi.org/10.1016/j.idairyj.2013.02.014
Acknowledgments
The authors thankfully acknowledge the financial support by Postgraduate Program in Food Science and Technology of Rural Federal University of Pernambuco (PGCTA-UFRPE), Fuel Laboratory of Federal University of Pernambuco (LAC-UFPE), National Council for Scientific and Technological Development (CNPq), Coordination of Higher Level Personnel Improvement (CAPES), Foundation for Science and Technology Support of Pernambuco (FACEPE), and Nucleus of Advanced Analytical Chemistry of Pernambuco (NUQAAPE). The English version was revised by Sidney Pratt, Canadian, BA, MAT (The Johns Hopkins University), RSAdip (TEFL) (Cambridge University).
Author information
Authors and Affiliations
Corresponding author
Ethics declarations
Conflict of Interest
Glaucia Ferreira de Lima declares that she has no conflict of interest. Samara Alvachian Cardoso Andrade declares that she has no conflict of interest. Vitor Hugo da Silva declares that he has no conflict of interest. Fernanda Araújo Honorato declares that she has no conflict of interest.
Ethical Approval
This article does not contain any studies with human participants or animals.
Rights and permissions
About this article
Cite this article
de Lima, G.F., Andrade, S.A.C., da Silva, V.H. et al. Multivariate Classification of UHT Milk as to the Presence of Lactose Using Benchtop and Portable NIR Spectrometers. Food Anal. Methods 11, 2699–2706 (2018). https://doi.org/10.1007/s12161-018-1253-7
Received:
Accepted:
Published:
Issue Date:
DOI: https://doi.org/10.1007/s12161-018-1253-7