Infrared analyzers for breast milk analysis: fat levels can influence the accuracy of protein measurements

2017 ◽  
Vol 55 (12) ◽  
Author(s):  
Celia Kwan ◽  
Gerhard Fusch ◽  
Aldin Bahonjic ◽  
Niels Rochow ◽  
Christoph Fusch
Keyword(s):  
Breast Milk ◽  
Protein Content ◽  
Neonatal Intensive Care ◽  
Near Infrared ◽  
Fat Content ◽  
Milk Analysis ◽  
High Fat ◽  
Before And After ◽  
The Matrix ◽  
Calibration Algorithm

Abstract:Background:Currently, there is a growing interest in lacto-engineering in the neonatal intensive care unit, using infrared milk analyzers to rapidly measure the macronutrient content in breast milk before processing and feeding it to preterm infants. However, there is an overlap in the spectral information of different macronutrients, so they can potentially impact the robustness of the measurement. In this study, we investigate whether the measurement of protein is dependent on the levels of fat present while using an infrared milk analyzer.Methods:Breast milk samples (n=25) were measured for fat and protein content before and after being completely defatted by centrifugation, using chemical reference methods and near-infrared milk analyzer (Unity SpectraStar) with two different calibration algorithms provided by the manufacturer (released 2009 and 2015).Results:While the protein content remained unchanged, as measured by elemental analysis, measurements by infrared milk analyzer show a difference in protein measurements dependent on fat content; high fat content can lead to falsely high protein content. This difference is less pronounced when measured using the more recent calibration algorithm.Conclusions:Milk analyzer users must be cautious of their devices’ measurements, especially if they are changing the matrix of breast milk using more advanced lacto-engineering.

scholarly journals Diversity of milk traits in 25 goat breeds

2022 ◽  
Vol 335 ◽  
pp. 00009
Author(s):  
Ferdy Saputra ◽  
Anneke Anggraeni
Keyword(s):  
Cluster Analysis ◽  
Protein Content ◽  
Statistical Approach ◽  
Fat Content ◽  
High Fat ◽  
Milk Traits ◽  
Preference Analysis ◽  
Average Linkage ◽  
Linkage Cluster ◽  
Relationship Of

Goats are livestock that is mostly raised by small farmers in Indonesia because they are easier to raise. Apart from having the potential to become meat, several breeds of which are kept as milk-purpose. Milk traits of each breed differ from one another. Therefore, this study tried to observe genetic differences of 25 goat breeds with statistical approach. Information about milk traits from 25 goat breeds is obtained from published journal. Multidimensional preference analysis and average linkage cluster analysis were performed using SAS 9.4 to determine the differences in goat breeds from three traits, namely milk yield, fat content, and protein content. Multidimensional preference analysis was able to see the advantages of breeds from the three observed traits. Goat breeds with superior milk yields are Saanen, Camosciata delle Alpi, and Charmoisée. Sarda Primitiva, Sarda, Etawah Grade have high fat content in milk. In addition, Arsi-Bale and Somali have high protein content. Average linkage cluster analysis is able to observe the genetic relationship of goat breeds based on three traits. According to average linkage cluster analysis, we found four clusters for goat breeds in this study. With existing statistical approaches, we can evaluate genetic diversity in milk traits.

Effectiveness of Breast Massage on Expression of Breast Milk among Mothers of Neonates admitted in Neonatal Intensive Care Unit

2016 ◽  
Vol 8 (1) ◽  
pp. 21-24 ◽  
Author(s):  
Lekha Viswanath ◽  
A Divya ◽  
Anju Philip
Keyword(s):  
Intensive Care Unit ◽  
Intensive Care ◽  
Breast Milk ◽  
Neonatal Intensive Care Unit ◽  
Neonatal Intensive Care ◽  
Pain Scale ◽  
Breast Milk Expression ◽  
Breast Milk Production ◽  
Before And After ◽  
The Mean

ABSTRACT Massaging the breast may help a postnatal mother to improve breast milk production, alleviate breast engorgement and facilitate breast milk expression. The purpose of the present study was to identify the effect of breast massage on breast milk expression in terms of volume of breast milk expressed, pain during breast milk expression and experience of breast milk expression among mothers of neonates admitted in neonatal intensive care unit (NICU). Materials and methods The quasi-experimental study was conducted among 30 postnatal mothers whose babies were admitted in NICU, selected as a sample of convenience. The design used was time series research design. After the pretest, breast massage was taught to the mothers by the investigator. Breast massage was performed for 10 minutes prior to each expression. The practice of breast massage and breast milk expression is observed by the investigator using a checklist during the next expression. Volume of breast milk expressed and pain during breast milk expression were assessed three times before and after the intervention using a standardized measuring cup and numerical pain scale respectively. The experience of breast milk expression was assessed before and after intervention using breast milk expression experience measure. Analysis was done using mean, frequency, percentage and paired t-test. Major findings The results show that the mean pretest volume of milk expressed in milliliters was 7.33 ± 4.86, which increased to 15.56 ± 8.38 (t = 4.22, p = 0.001) after the intervention. The mean pretest pain score was 7.50 ± 1.42 which decreased to 5.01 ± 1.37 (t = 11.73, p = 0.001) after the intervention. The experience of breast milk expression in post-test 37.6 ± 3.88 was significantly higher than pretest 28.4 ± 4.73 (t = 11.25, p = 0.001). Conclusion The study findings conclude that the breast massage is effective in increasing the volume of expressed breast milk, reducing the pain during breast milk expression and improving the experience of breast milk expression. How to cite this article Divya A, Viswanath L, Philip A. Effectiveness of Breast Massage on Expression of Breast Milk among Mothers of Neonates Admitted in Neonatal Intensive Care Unit. J South Asian Feder Obst Gynae 2016;8(1):21-24.

scholarly journals Hourly Breast Expression to Estimate the Rate of Synthesis of Milk and Fat

Nutrients ◽  
2018 ◽  
Vol 10 (9) ◽  
pp. 1144 ◽  
Author(s):  
Jacqueline Kent ◽  
Hazel Gardner ◽  
Ching-Tat Lai ◽  
Peter Hartmann ◽  
Kevin Murray ◽  
...  
Keyword(s):  
Breast Milk ◽  
Fat Content ◽  
Objective Measurement ◽  
Small Samples ◽  
Milk Samples ◽  
Hourly Rate ◽  
Before And After ◽  
Fat Synthesis

Objective measurement of the rate of synthesis of breast milk and fat in breastfeeding mothers requires test-weighing of each breastfeed and the measurement of each expression from each breast over 24 h, with the collection of milk samples before and after each breastfeed and expression. We sought an abbreviated technique for measuring these rates of synthesis. Participants completed a 24-h breastfeeding milk profile, and expressed their breasts on arrival at the research room and each hour thereafter for 3 h (4 expressions). The hourly rate of milk synthesis, as measured by the yield of milk from the fourth expression, was closely related to the hourly rate of milk synthesis calculated from the 24-h milk profile. The hourly rate of fat synthesis, calculated from the fat content of small samples of the first and last milk expressed during the fourth expression, was different from the rate of fat synthesis calculated from the fat content and volumes of all the breastfeeds and expressions during the 24-h milk profile. The study confirms the use of an abbreviated technique to measure the rate of breast milk synthesis, but is not reliable as a measure of the rate of fat synthesis for an individual.

scholarly journals Factors Influencing Breast Milk Fat Loss during Administration in the Neonatal Intensive Care Unit

Nutrients ◽  
2021 ◽  
Vol 13 (6) ◽  
pp. 1939
Author(s):  
Mattias Paulsson ◽  
Lena Jacobsson ◽  
Fredrik Ahlsson
Keyword(s):  
Intensive Care Unit ◽  
Breast Milk ◽  
Milk Fat ◽  
Neonatal Intensive Care ◽  
Tube Feeding ◽  
Feeding Method ◽  
Fat Loss ◽  
Factors Influencing ◽  
Before And After ◽  
True Protein

The objective of this study was to investigate factors influencing fat loss during tube feeding of breast milk to preterm infants. An experimental study with 81 feeding simulations was performed, with nine continuous infusions in each of six modalities: Horizontal Higher, Horizontal Matched, Horizontal Lower, Tilted Higher, Tilted Matched, and Tilted Lower, and for comparison, 27 bolus feedings: nine flushed with air, nine with water, and nine that were not flushed, done at matched height. Each simulation utilized 16 mL of breast milk given over four hours. Continuous infusions were given with a flow rate of 4 mL/h. Bolus was given as 8 mL over the course of 15–20 min every other hour. Analysis for fat, true protein, carbohydrate, total solids, and energy was performed before and after each simulation. The percent of macronutrient loss was compared between all simulations. Continuous infusion resulted in an average fat loss of 40%. Bolus feedings resulted in an average fat loss of 11% (p ≤ 0.001). Considerable fat loss is seen during continuous tube feeding. Neither height in relation to the infant nor tilting of the pump reduce fat loss. To limit fat loss, the bolus feeding method should be utilized.

scholarly journals Breast Milk Macronutrients in Relation to Infants’ Anthropometric Measures

2020 ◽  
Vol 8 (B) ◽  
pp. 845-850
Author(s):  
Enas R. Abdelhamid ◽  
Alyaa H. Kamhawy ◽  
Alshaimaa A. Elkhatib ◽  
Amr S. Megawer ◽  
Amal I. El Shafie ◽  
...  
Keyword(s):  
Breast Milk ◽  
Protein Content ◽  
Gestational Age ◽  
Maternal Diet ◽  
Fat Content ◽  
Biologically Active ◽  
Active Components ◽  
Anthropometric Data ◽  
Anthropometric Measures ◽  
Wide Variability

BACKGROUND: Breast milk (BM) is the main nutritional source for newborns before they are capable to eat and consume other foods. BM has carbohydrates, lipids, complex proteins, and other biologically active components which have a direct effect on infant growth. AIM: The aim of the study was to correlate anthropometric data of the infant to macronutrients in BM (fat, protein, and carbohydrates) and to find some modifiable issues affecting macronutrient contents of BM for the benefits of upcoming infants. METHODS: One hundred breastfeeding mothers participated in the study, they were recruited from the outpatient clinic, El Demerdash Hospital, Ain Shams University, from September 2019, to December 2019. BM was expressed by an electric pump, macronutrient content was assessed. Anthropometric data of the babies and mothers were obtained, gestational age, parity, age of the women, and the route of birth were recorded. RESULTS: For the macronutrients content of milk, a positive significant correlation was observed between BM fat, protein, and lactose. Infants’ body mass index (BMI) was negatively related to the fat content of BM, while no relation was found between BMI and protein or lactose content of the milk. BM fat content was negatively correlated with gestational age and maternal age. Positive correlations were found between BMI and protein, lactose and infant age. Protein content was negatively correlated with parity. No impact of infant’s sex on BM composition and as regards maternal diet, high protein consumption leading to increase BM protein content. CONCLUSIONS: The current study confirms that BM macronutrient composition has a wide variability; this variability is associated with each macronutrient, respectively. To improve BM composition, one could aim for improving the nutritional balance in lactating women, especially for protein intake. More well-designed longitudinal studies about factors that influence human milk compositions are warranted.

scholarly journals TECHNOLOGICAL EVALUATION OF SOYBEAN SEED QUALITY DEPENDING ON THE VARIETY

2020 ◽  
Vol 2 ◽  
pp. 32-37
Author(s):  
V. V. Liubych
Keyword(s):  
Protein Content ◽  
Seed Yield ◽  
Soybean Seed ◽  
Weather Conditions ◽  
Fat Content ◽  
High Protein ◽  
Protein Yield ◽  
Soybean Variety ◽  
High Fat ◽  
Fat Yield

The biochemical component (protein content and fat content) of soybean seed, yield and fat and protein yield significantly depends on weather conditions and variety. It was found that the protein content in soybean seed, on average over two years of research on new varieties can vary from 36.1 to 44.4 %. Khana, Lenka and Alaska varieties have the highest protein content in soybean seed – 43.4–44.4 %. Protein content significantly depends on the weather conditions of the study year. Thus, soybean varieties of Kofu, Siberia, Volta, Asuka, Arisa, Khana, Lenka and Alaska, grown in 2020, have this figure 10–19 % higher than in 2019. In the seeds of Nordica, Carra, Kyoto, Ezra, Amadeus and Taurus soybean varieties, the protein content is 4–10 % lower. On average, over two years of research, the fat content in soybean seeds varies from 18.9 to 21.7 % depending on the variety. Only three out of 14 soybean varieties have the fat content ≤ 20.0 % – Khana, Alaska, Arisa. In seeds of other varieties, this figure is ≥ 20 %. Weather conditions reduce the fat content in the seeds by 7–20 % depending on the variety. Studies have shown that soybean seed yields vary significantly depending on the soybean variety. Thus, on average over two years of research, this figure varies from 1.30 t/ha in Amadeus variety to 1.88 t/ha in Siberia one. The highest yields (≥ 1.70 t/ha) were formed by Arisa, Volta and Siberia varieties. However, this figure varies greatly depending on the weather conditions of the study year. Thus, in a more favourable 2019, the yield is from 1.65 to 2.41 t/ ha, depending on the soybean variety. Moisture deficiency and small reserves of moisture in the deeper layers of the soil reduce seed yield from 0.95 to 1.35 t/ha or by 1.7–3.7 times, depending on the soybean variety. Two soybean varieties (Arisa, Siberia) have the highest protein yield at the level of 706–721 kg/ha. The highest fat yield was obtained by Siberia growing – 415 kg/ha. Under the conditions of the Right Bank forest-steppe, for stable formation of high protein yield in different weather conditions, it is necessary to grow Arisa soybean variety which has high protein content and high seed yield, and Alaska variety which has high protein content in seeds. In addition, in the best hydration years it is able to form a high fat yield. Volta, Asuka, Khana and Lenka varieties should be grown in years with sufficient moisture, as they provide the highest protein yield. These varieties should also be grown to obtain a high fat yield under the best moisture conditions. Siberia soybean should be used to produce fat in different weather conditions

scholarly journals Expressed Breast Milk Analysis: Role of Individualized Protein Fortification to Avoid Protein Deficit After Preterm Birth and Improve Infant Outcomes

2022 ◽  
Vol 9 ◽  
Author(s):  
Sharmeel Khaira ◽  
Antoinette Pert ◽  
Emily Farrell ◽  
Cecelia Sibley ◽  
Karen Harvey-Wilkes ◽  
...  
Keyword(s):  
Breast Milk ◽  
Protein Content ◽  
Body Mass ◽  
Protein Intake ◽  
Specific Protein ◽  
Protein Supplementation ◽  
Milk Analysis ◽  
Protein Energy ◽  
Expressed Breast Milk ◽  
Z Scores

Background: Expressed breast milk (EBM) protein content is highly variable between mothers and often below published values that are still used for EBM protein fortification strategies. This approach may result in significant protein deficit and suboptimal protein energy (P/E) ratio. The study aim was to determine whether individualized EBM protein analysis and fortification will reduce preterm infant protein deficits and improve growth and neurodevelopmental outcome.Study Methods: In a single-center randomized, blinded study of infants born at 24 0/7–29 6/7 weeks, mother-specific protein values measured by a milk analyzer were used to individualize infant-specific protein intake (interventional group, IG), and compared this to a standardized protein fortification scheme based on published values of EBM protein content of 1.4 g/dL (control group, CG). For IG, milk analyzer protein values of mother's EBM were used to adjust protein content of the EBM. The CG EBM protein content was adjusted using the standard published value of 1.4 g/dL and not based on milk analyzer values. EBM protein content, protein intake, protein/energy (P/E) ratio, weight (WT), head circumference (HC), length (L), growth velocity (GV) from 2 to 6 weeks of age, WT, HC and L Z-Scores at 32- and 35-weeks PMA, and lean body mass (35 weeks PMA skin fold thickness) were measured. Neurodevelopment was assessed by Bayley III at average 24 months corrected gestational age (CGA).Results: EBM protein content before fortification was significantly below published values of 1.4 g/dL at all time points in both CG and IG. CG protein deficit was significantly decreased and progressively worsened throughout the study. Individualized protein fortification in IG avoided protein deficit and optimized P/E ratio. Although no significant change in short-term GV (at 6 weeks of age) was seen between groups, IG infants born at <27 weeks had significant improvements in WT and L z-scores, and leaner body mass at 32 and 35 weeks PMA. IG exhibited significantly improved cognitive scores at 24 months CGA.Conclusions: Infant-specific protein supplementation of mother's EBM optimized P/E ratio by eliminating protein deficit and improved growth z scores at 32- and 35-weeks PMA and neurocognitive testing at 24 months.

scholarly journals Effect of Duration and Temperatur Breastmilk Storage and The way of Diluting Breastmilk on Protein and Fat Levels in Breastmilk

2018 ◽  
Vol 3 (1) ◽  
pp. 72
Author(s):  
Mandria Yundelfa ◽  
Mayetti Mayetti ◽  
Nur Indrawaty Lipoeto
Keyword(s):  
Public Health ◽  
Breast Milk ◽  
Protein Content ◽  
Exclusive Breastfeeding ◽  
Laboratory Animal ◽  
Room Temperature ◽  
Fat Content ◽  
Animal Biotechnology ◽  
Work Area ◽  
The Mean

Exclusive breastfeeding is the best method of nutrition for infant to grow and develop. Changes in social often make women become to work increased from 50.77% (2016) to 50.89% (2017), so they think there is no time to give exclusive breastfeeding to her baby. But with the storage of breast milk, the baby will still get breast milk when the mother is at work. This study aims to determine the effect of duration and temperature of breastmilk as well as how to dilute frozen milk to protein and fat levels. The design of this study was one group pretest-posttest design with the pre experimental study. The data were analyzed by using T-dependent test. The sample of this study is breast milk obtained from 5 breastfeeding mothers in the work area of LubukBuaya Public Health and Laboratory Animal Biotechnology of Andalas University in July in 2017 to May in 2018.There was significant decrease mean of protein and fat content in breastmilk during 5 days storage at refrigerator that mean of protein content 0,50±0,44 g/dL and fat content 2,57±0,45 g/dL statistically (p<0,05). There  was no significant decrease in the mean of protein and fat content in breast milk, which was dissolved in refrigerator and warm water is average protein content 0.89±0.46 g/dL and mean fat content 3.21±0.19 g/dL, direct melted breastmilk with mean of protein content is 0.91±0.52 g/dL and mean of fat content is 3.05±0.25 g/ dL statistically (p>0.05). The conclusion, there is no effect of protein and fat content in breast milk storaged for 4 hours in the room temperature, 14 days in freezer (-15 C), 28 days in freezer (-18 C) and how to dilute frozen milk. But there is adecrease  on the levels of protein and fat in breast milk in 5-day storage in the refrigerator.

scholarly journals Fat label compared with fat content: gastrointestinal symptoms and brain activity in functional dyspepsia patients and healthy controls

2018 ◽  
Vol 108 (1) ◽  
pp. 127-135 ◽  
Author(s):  
In-Seon Lee ◽  
Stephanie Kullmann ◽  
Klaus Scheffler ◽  
Hubert Preissl ◽  
Paul Enck
Keyword(s):  
Functional Dyspepsia ◽  
Brain Activity ◽  
Fat Content ◽  
Food Craving ◽  
Healthy Controls ◽  
High Fat ◽  
Low Fat ◽  
Brain Functions ◽  
Dyspeptic Symptoms ◽  
Before And After

ABSTRACT Background High-fat meals are associated with dyspeptic symptoms in functional dyspepsia (FD) patients. It is still unclear how fat is processed, or how FD symptoms and neuronal activities are modulated by psychological factors. Objective We investigated brain activity by functional magnetic resonance imaging (fMRI) after the ingestion of high- and low-fat foods with correct/incorrect fat information. Design We compared 12 FD patients and 14 healthy controls (HCs). We recorded resting-state fMRI on four different days before and after ingestion of four yogurts (200 mL, 10% or 0.1% fat, “low fat” or “high fat” label). Results FD patients showed more pronounced dyspeptic symptoms than did HCs, and symptoms were relieved less after consuming high fat–labeled yogurt than low fat–labeled yogurt, irrespective of the actual fat content. This is indicative of either a placebo effect of low-fat information or a nocebo effect of high-fat information on symptom expression. FD patients showed greater activity than did HCs in occipital areas before and after ingestion regardless of fat content and label, as well as greater activity in the middle frontal gyrus before ingestion. In addition, functional connectivity (FC) from the insula to the occipital cortex (I-O) increased after high fat ingestion and decreased after low fat ingestion in FD patients. FC from the insula to the precuneus (I-P) was higher in FD patients than in HCs after ingestion of low fat–labeled yogurt. In FD patients, I-O FC negatively correlated with nausea and I-P FC with FD symptom intensity, food craving, and depression. Conclusions Our results endorse the importance of psychological perception of food on the incidence of dyspeptic symptoms and on the altered brain activities. These findings show the importance of cognitive components in perceptions of fat, food craving, depression, and brain functions in pathophysiologic mechanisms of FD. This trial was registered at clinicaltrials.gov as NCT02618070.

Sign in / Sign up

Export Citation Format

Share Document