Just add water: Accuracy of analysis of diluted human milk samples using mid-infrared spectroscopy

Mid-infrared spectroscopy and chemometric analysis were tested to determine tetracycline's residues in cow's milk. Cow's milk samples (n = 30) were spiked with tetracycline, chlortetracycline, and oxytetracycline in the range of 10-400 µg/l. Chemometric models to quantify each of the tetracycline's residues were developed by applying Partial Components Regression and Partial Least Squares algorithms. The Soft Independent Modeling of Class Analogy model was used to differentiate between pure milk and milk sample with tetracycline residues. The best models for predicting the levels of these antibiotics were obtained using Partial Least Square 1 algorithm (coefficient of determination between 0.997-0.999 and the standard error of calibration from 1.81 to 2.95). The Soft Independent Modeling of Class Analogy model showed well-separated groups allowing classification of milk samples and milk sample with antibiotics. The obtained results demonstrate the great analytical potential of chemometrics coupled with mid-infrared spectroscopy for the prediction of antibiotic in cow's milk at a concentration of microgram per litre (µg/l). This technique can be used to verify the safety of the milk rapidly and reliably.

Download Full-text

Validation of mid-infrared spectroscopy for macronutrient analysis of human milk

Journal of Perinatology ◽

10.1038/jp.2017.52 ◽

2017 ◽

Vol 37 (7) ◽

pp. 822-826 ◽

Cited By ~ 9

Author(s):

S Parat ◽

S Groh-Wargo ◽

S Merlino ◽

C Wijers ◽

D M Super

Keyword(s):

Infrared Spectroscopy ◽

Human Milk ◽

Mid Infrared ◽

Mid Infrared Spectroscopy

Download Full-text

Tandem Breastfeeding and Human Milk Macronutrients: A Prospective Observational Study

Journal of Human Lactation ◽

10.1177/08903344211003827 ◽

2021 ◽

pp. 089033442110038

Author(s):

Gilad Rosenberg ◽

Laurence Mangel ◽

Dror Mandel ◽

Ronella Marom ◽

Ronit Lubetzky

Keyword(s):

Infrared Spectroscopy ◽

Human Milk ◽

Protein Content ◽

Prospective Observational Study ◽

Carbohydrate Content ◽

Mature Milk ◽

Mid Infrared ◽

Milk Samples ◽

Macronutrient Content ◽

In Pregnancy

Background Tandem breastfeeding is defined as two or more offspring of different ages who are breastfed by their mother at the same time. Breastfeeding during pregnancy and tandem breastfeeding have not been widely investigated. Research Aim To determine the influence of tandem breastfeeding on the macronutrient content of human milk. Methods This longitudinal study used a prospective and a retrospective group. Human milk samples from tandem-breastfeeding participants ( n = 18) were compared to samples from non-tandem-breastfeeding participants ( n = 31). Samples were collected during the last month of pregnancy (pregnancy milk), 72 hr after birth (colostrum) and 14–60 days post-delivery (mature milk). Macronutrients were measured by mid-infrared spectroscopy. Results Fat content in pregnancy milk was lower than in mature milk ( p < .01). Protein content was higher in pregnancy milk than in colostrum and mature milk ( p < .01 and p < .001, respectively). Inversely, carbohydrate content in pregnancy milk was lower than in colostrum and mature milk ( p = .02 and p < .01, respectively). Fat and energy contents in pregnancy milk of tandem-breastfeeding participants were lower than in mature milk of non-tandem-breastfeeding participants ( p < .001 and p < .01, respectively), and protein content was higher than in mature milk ( p < .001). Carbohydrate content in colostrum and mature milk of tandem-breastfeeding participants was higher than that of non-tandem-breastfeeding participants ( p < .001 for both). Conclusion Human milk produced during pregnancy had different macronutrient content than human milk produced after delivery. Colostrum and mature milk of tandem-breastfeeding participants were similar to human milk produced by non-tandem-breastfeeding participants, with the exception of carbohydrate content.

Download Full-text

Determination of main raw material source in bar soaps using mid-infrared spectroscopy combined with classification tools

Microchemical Journal ◽

10.1016/j.microc.2021.106029 ◽

2021 ◽

Vol 164 ◽

pp. 106029

Author(s):

Diego Maciel Gerônimo ◽

Sheila Catarina de Oliveira ◽

Frederico Luis Felipe Soares ◽

Patricio Peralta-Zamora ◽

Noemi Nagata

Keyword(s):

Infrared Spectroscopy ◽

Raw Material ◽

Material Source ◽

Mid Infrared ◽

Mid Infrared Spectroscopy

Download Full-text

Delineation of molecular structure modification during coagulation of mixed camel and cow milk by mid‐infrared spectroscopy and parallel factor analysis

Journal of Food Processing and Preservation ◽

10.1111/jfpp.15839 ◽

2021 ◽

Author(s):

O. Boukria ◽

J. Wang ◽

J. Safarov ◽

A. Gharsallaoui ◽

F. Leriche ◽

...

Keyword(s):

Molecular Structure ◽

Factor Analysis ◽

Infrared Spectroscopy ◽

Parallel Factor Analysis ◽

Cow Milk ◽

Structure Modification ◽

Mid Infrared ◽

Mid Infrared Spectroscopy ◽

Parallel Factor

Download Full-text

Mid-infrared spectroscopy of earthworm bodies to investigate their species belonging and their relationship with the soil they inhabit

Applied Soil Ecology ◽

10.1016/j.apsoil.2021.103894 ◽

2021 ◽

Vol 162 ◽

pp. 103894

Author(s):

Thao Pham ◽

Cornelia Rumpel ◽

Yvan Capowiez ◽

Pascal Jouquet ◽

Céline Pelosi ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Mid Infrared ◽

Mid Infrared Spectroscopy

Download Full-text

Rapid tannin profiling of tree fodders using untargeted mid-infrared spectroscopy and partial least squares regression

Plant Methods ◽

10.1186/s13007-021-00715-8 ◽

2021 ◽

Vol 17 (1) ◽

Author(s):

Jordi Ortuño ◽

Sokratis Stergiadis ◽

Anastasios Koidis ◽

Jo Smith ◽

Chris Humphrey ◽

...

Keyword(s):

Infrared Spectroscopy ◽

Least Squares ◽

Partial Least Squares ◽

Partial Least Squares Regression ◽

Multivariate Calibration ◽

Plant Ecology ◽

Coefficient Of Determination ◽

Least Squares Regression ◽

Mid Infrared ◽

Mid Infrared Spectroscopy

Abstract Background The presence of condensed tannins (CT) in tree fodders entails a series of productive, health and ecological benefits for ruminant nutrition. Current wet analytical methods employed for full CT characterisation are time and resource-consuming, thus limiting its applicability for silvopastoral systems. The development of quick, safe and robust analytical techniques to monitor CT’s full profile is crucial to suitably understand CT variability and biological activity, which would help to develop efficient evidence-based decision-making to maximise CT-derived benefits. The present study investigates the suitability of Fourier-transformed mid-infrared spectroscopy (MIR: 4000–550 cm−1) combined with multivariate analysis to determine CT concentration and structure (mean degree of polymerization—mDP, procyanidins:prodelphidins ratio—PC:PD and cis:trans ratio) in oak, field maple and goat willow foliage, using HCl:Butanol:Acetone:Iron (HBAI) and thiolysis-HPLC as reference methods. Results The MIR spectra obtained were explored firstly using Principal Component Analysis, whereas multivariate calibration models were developed based on partial least-squares regression. MIR showed an excellent prediction capacity for the determination of PC:PD [coefficient of determination for prediction (R2P) = 0.96; ratio of prediction to deviation (RPD) = 5.26, range error ratio (RER) = 14.1] and cis:trans ratio (R2P = 0.95; RPD = 4.24; RER = 13.3); modest for CT quantification (HBAI: R2P = 0.92; RPD = 3.71; RER = 13.1; Thiolysis: R2P = 0.88; RPD = 2.80; RER = 11.5); and weak for mDP (R2P = 0.66; RPD = 1.86; RER = 7.16). Conclusions MIR combined with chemometrics allowed to characterize the full CT profile of tree foliage rapidly, which would help to assess better plant ecology variability and to improve the nutritional management of ruminant livestock.

Download Full-text