scholarly journals Optical Methods Based on Ultraviolet, Visible, and Near-Infrared Spectra to Estimate Fat and Protein in Raw Milk: A Review

Sensors ◽  
2020 ◽  
Vol 20 (12) ◽  
pp. 3356 ◽  
Author(s):  
Abraham Gastélum-Barrios ◽  
Genaro M. Soto-Zarazúa ◽  
Axel Escamilla-García ◽  
Manuel Toledano-Ayala ◽  
Gonzalo Macías-Bobadilla ◽  
...  

The present manuscript focuses on reviewing the optical techniques proposed to monitor milk quality in dairy farms to increase productivity and reduce costs. As is well known, the quality is linked to the fat and protein concentration; in addition, this issue is crucial to maintaining a healthy herd and preventing illnesses such as mastitis and ketosis. Usually, the quality of the milk is carried out with invasive methods employing chemical reagents that increase the time analysis. As a solution, several spectroscopy optical methods have been proposed, here, the benefits such as non-invasive measurement, online implementation, rapid estimation, and cost-effective execution. The most attractive optical methods to estimate fat and protein in cow’s milk are compared and discussed considering their performance. The analysis is divided considering the wavelength operation (ultraviolet, visible, and infrared). Moreover, the weaknesses and strengths of the methods are fully analyzed. Finally, we provide the trends and a recent technique based on spectroscopy in the visible wavelength.

1997 ◽  
Vol 20 (5) ◽  
pp. 285-290 ◽  
Author(s):  
U.A. Müller ◽  
B. Mertes ◽  
C. Fischbacher ◽  
K.U. Jageman ◽  
K. Danzer

The feasibility of using near infrared reflection spectroscopy for non-invasive blood glucose monitoring is discussed. Spectra were obtained using a diode-array spectrometer with a fiberoptic measuring head with a wavelength ranging from 800 nm to 1350 nm. Calibration was performed using partial least-squares regression and radial basis function networks. The results of different methods used to evaluate the quality of the recorded spectra in order to improve the reliability of the calibration models, are presented.


2007 ◽  
Vol 1 (2) ◽  
pp. 136-140 ◽  
Author(s):  
Jochen Bretschneider ◽  
◽  
Thomas Menzel

Faster development of innovative machine tools, shorter processing times, improved surface quality of workpieces, higher machine productivity – these are just a few of the wishes and demands of machine manufacturers and end-users. Time-to-market is decisive; in some industries, six months too late on the market can already be decisive in losing the race for market leadership. The key to success lies in virtual techniques. These are an extremely cost-effective way to increase productivity in all phases of the machine tools life cycle. Siemens AG, the leading provider for control and drive technology, sees itself as a partner for the whole machine tool industry and offers four phases of simulation support which cover the entire life cycle of a machine: Mechatronic Support for simulation for machine development, Machine Simulator for supporting commissioning, Virtual Production for the optimization of production and, finally, Virtual NC Kernel (VNCK) for the testing of NC part programs at the end-user.


2014 ◽  
Vol 926-930 ◽  
pp. 961-964
Author(s):  
Jiao Jiao Yin

Because the reflectivity of astaxanthin vary in different bands (mainly 400nm-600nm), so we use the visible-near infrared spectra technique to irradiate the salmon. Because in daily life, people grade the salmon flesh with a color card. In this paper, we first use principal component analysis to reduce the dimensionality of the spectral data of salmon, then use linear discriminant analysis method, least squares support vector machine classification method to distinguish the flesh quality. The correct classification rates are 60%and73.3%. The results show that we can use visible – near infrared spectra to distinguish the quality of the salmon which doesn’t be dissected.


2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Tongcheng Qian ◽  
Tiffany M. Heaster ◽  
Angela R. Houghtaling ◽  
Kexin Sun ◽  
Kayvan Samimi ◽  
...  

AbstractHuman pluripotent stem cell (hPSC)-derived cardiomyocytes provide a promising regenerative cell therapy for cardiovascular patients and an important model system to accelerate drug discovery. However, cost-effective and time-efficient platforms must be developed to evaluate the quality of hPSC-derived cardiomyocytes during biomanufacturing. Here, we develop a non-invasive label-free live cell imaging platform to predict the efficiency of hPSC differentiation into cardiomyocytes. Autofluorescence imaging of metabolic co-enzymes is performed under varying differentiation conditions (cell density, concentration of Wnt signaling activator) across five hPSC lines. Live cell autofluorescence imaging and multivariate classification models provide high accuracy to separate low (< 50%) and high (≥ 50%) differentiation efficiency groups (quantified by cTnT expression on day 12) within 1 day after initiating differentiation (area under the receiver operating characteristic curve, 0.91). This non-invasive and label-free method could be used to avoid batch-to-batch and line-to-line variability in cell manufacturing from hPSCs.


2013 ◽  
Vol 543 ◽  
pp. 368-372 ◽  
Author(s):  
Jung H. Goh ◽  
Alex Mason ◽  
Mark Field ◽  
Paul Browning ◽  
Ahmed Al-Shamma'a

Lactate is known to be an indicator of neurological impairment during aortic aneurysm surgery. It is suggested that analysis of cerebrospinal fluid (CSF) removed during such surgery could provide useful information in this regard. Medical professionals find the prospect of online detection of such analytes exciting, as current practice is time consuming and leads to multiple invasive procedures. Advancing from the current laboratory based analysis techniques to online methods could provide the basis for improved treatment regimes, better quality of care, and enhanced resource efficiency within hospitals. Accordingly, this article considers the use of a low power microwave sensor to detect varying lactate concentrations. Microwave sensors provide a rapid non-invasive method of material analysis, which is robust, cost-effective, and has huge potential for a wide range of biomedical applications.


2002 ◽  
Vol 25 (5) ◽  
pp. 429-433 ◽  
Author(s):  
N. Pop-Jordanova ◽  
J. Pop-Jordanov

Our previous research on basic and applied psychophysiology comprised the quantum model for subcellular brain processes, the psychosomatic health risk assessment and management, as well as the electrodermal biofeedback psychometrics and therapy. Based on this experience, in the present paper the stress-related psychophysiological disorders in patients dependent on hemodialysis and insulin are considered. The most frequent comorbid psychological disorders appeared to be anxiety and depression, and they are generally under-diagnosed and under-treated. It is concluded that the quality of life of these patients needs to be considerably enhanced. The application of biofeedback, as a complementary cost-effective and non-invasive psychophysiological tool is recommended. In terms of ESAO vocabulary, this technique could be viewed as some kind of artificial ANS/CNS support. Simultaneously, the concept of biocompatibility may be viewed in a larger perspective as “psychobiocompatibility”.


Micromachines ◽  
2021 ◽  
Vol 12 (8) ◽  
pp. 940
Author(s):  
Isabel Medina ◽  
Julian Deuerling ◽  
Pooja Kumari ◽  
Stephan Scholl ◽  
Matthias Rädle

The work presents an efficient and non-invasive method to visualize the local concentration and viscosity distribution of two miscible and non-reacting substances with a significant viscosity difference in a microchannel with a Y-shape cell. The proof-of-concept setup consists of a near-infrared (NIR) camera and cost-effective dome lighting with NIR light-emitting diodes (LED) covering the wavelength range of 1050 to 1650 nm. Absorption differences of glycerol and water and their mixtures with a mass fraction of glycerol from 0 to 0.95 gGlycgtotal−1 were analyzed in the NIR spectral area. The resulting measurement images were converted in a concentration profile by using absorbance calculated with Lambert–Beer law. A linear behavior between the concentration and the absorption coefficient is demonstrated. The result of local concentration in mass fraction was used to determine the local viscosity and illustrated as distribution images. By variating the fluid parameters, the influences of the highly different original viscosities in the mixing procedure were investigated and visualized.


2021 ◽  
Author(s):  
Tongcheng Qian ◽  
Tiffany Heaster ◽  
Angela Houghtaling ◽  
Kexin Sun ◽  
Kayvan Samimi ◽  
...  

Human pluripotent stem cell (hPSC)-derived cardiomyocytes provide a promising regenerative cell therapy for cardiovascular patients and an important model system to accelerate drug discovery. However, cost-effective and time-efficient platforms must be developed to evaluate the quality of hPSC-derived cardiomyocytes during biomanufacturing. Here, we developed a non-invasive label-free live cell imaging platform to predict the efficiency of hPSC differentiation into cardiomyocytes. Autofluorescence imaging of metabolic co-enzymes was performed under varying differentiation conditions (cell density, concentration of Wnt signaling activator) across three hPSC lines. Live cell autofluorescence imaging and multivariate classification models provided high accuracy to separate low (< 50%) and high (≥ 50%) differentiation efficiency groups (quantified by cTnT expression on day 12) within 1 day after initiating differentiation (area under the receiver operating characteristic curve, 0.98). This non-invasive and label-free method could be used to avoid batch-to-batch and line-to-line variability in cell manufacturing from hPSCs.


2015 ◽  
Vol 19 (81) ◽  
pp. 1-246 ◽  
Author(s):  
Janine Dretzke ◽  
Deirdre Blissett ◽  
Chirag Dave ◽  
Rahul Mukherjee ◽  
Malcolm Price ◽  
...  

BackgroundChronic obstructive pulmonary disease (COPD) is a chronic progressive lung disease characterised by non-reversible airflow obstruction. Exacerbations are a key cause of morbidity and mortality and place a considerable burden on health-care systems. While there is evidence that patients benefit from non-invasive ventilation (NIV) in hospital during an acute exacerbation, evidence supporting home use for more stable COPD patients is limited. In the UK, domiciliary NIV is considered on health economic grounds in patients after three hospital admissions for acute hypercapnic respiratory failure.ObjectiveTo assess the clinical effectiveness and cost-effectiveness of domiciliary NIV by systematic review and economic evaluation.Data sourcesBibliographic databases, conference proceedings and ongoing trial registries up to September 2014.MethodsStandard systematic review methods were used for identifying relevant clinical effectiveness and cost-effectiveness studies assessing NIV compared with usual care or comparing different types of NIV. Risk of bias was assessed using Cochrane guidelines and relevant economic checklists. Results for primary effectiveness outcomes (mortality, hospitalisations, exacerbations and quality of life) were presented, where possible, in forest plots. A speculative Markov decision model was developed to compare the cost-effectiveness of domiciliary NIV with usual care from a UK perspective for post-hospital and more stable populations separately.ResultsThirty-one controlled effectiveness studies were identified, which report a variety of outcomes. For stable patients, a modest volume of evidence found no benefit from domiciliary NIV for survival and some non-significant beneficial trends for hospitalisations and quality of life. For post-hospital patients, no benefit from NIV could be shown in terms of survival (from randomised controlled trials) and findings for hospital admissions were inconsistent and based on limited evidence. No conclusions could be drawn regarding potential benefit from different types of NIV. No cost-effectiveness studies of domiciliary NIV were identified. Economic modelling suggested that NIV may be cost-effective in a stable population at a threshold of £30,000 per quality-adjusted life-year (QALY) gained (incremental cost-effectiveness ratio £28,162), but this is associated with uncertainty. In the case of the post-hospital population, results for three separate base cases ranged from usual care dominating to NIV being cost-effective, with an incremental cost-effectiveness ratio of less than £10,000 per QALY gained. All estimates were sensitive to effectiveness estimates, length of benefit from NIV (currently unknown) and some costs. Modelling suggested that reductions in the rate of hospital admissions per patient per year of 24% and 15% in the stable and post-hospital populations, respectively, are required for NIV to be cost-effective.LimitationsEvidence on key clinical outcomes remains limited, particularly quality-of-life and long-term (> 2 years) effects. Economic modelling should be viewed as speculative because of uncertainty around effect estimates, baseline risks, length of benefit of NIV and limited quality-of-life/utility data.ConclusionsThe cost-effectiveness of domiciliary NIV remains uncertain and the findings in this report are sensitive to emergent data. Further evidence is required to identify patients most likely to benefit from domiciliary NIV and to establish optimum time points for starting NIV and equipment settings.Future work recommendationsThe results from this report will need to be re-examined in the light of any new trial results, particularly in terms of reducing the uncertainty in the economic model. Any new randomised controlled trials should consider including a sham non-invasive ventilation arm and/or a higher- and lower-pressure arm. Individual participant data analyses may help to determine whether or not there are any patient characteristics or equipment settings that are predictive of a benefit of NIV and to establish optimum time points for starting (and potentially discounting) NIV.Study registrationThis study is registered as PROSPERO CRD42012003286.FundingThe National Institute for Health Research Health Technology Assessment programme.


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