Matching portable NIRS instruments for in situ monitoring indicators of milk composition

Roza-Delgado, B. de la; Garrido‐Varo, Ana; Soldado, A.; Arrojo, Amelia González; Valdes, María Cuevas; Maroto, Francisco; Pérez‐Marín, Dolores

doi:10.1016/j.foodcont.2017.01.004

Cited by 64 publications

(27 citation statements)

References 17 publications

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“…Nowadays, near-infrared (NIR) spectroscopy (4000∼12500 cm −1 ) are widely employed for qualitative and quantitative analysis in agriculture and food quality evaluation [1][2][3]. NIR spectroscopy can be used in analysis due to the molecular bonds of C-H, N-H, O-H and C=O whose combination tone and the overtones absorption are all in the NIR region [4].…”

Section: Introductionmentioning

confidence: 99%

Optimal modeling pattern of variables selection on analog complex using UVE-PLS regression

Huang

Tian

2020

IOPSciNotes

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This study aimed to determine the composition of chemical complex by partial least square (PLS) regression models combined with uninformative variable elimination (UVE). The near-infrared (NIR) spectra of the forty samples were determined and then UVE was used to compress full NIR spectra from 12011 redundant variables to dozens of variables. Finally, 54, 16, 27, 31 and 42 variables were selected by UVE for 2,2,4-Trimethylpentane, Heptane, Cyclohexane, Ethyl formate and Butyl acetate respectively. Selected variables were used as the inputs of PLS model for quantitative analysis which made the prediction of the model more robust and accurate compared with the conventional PLS.

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Section: Introductionmentioning

confidence: 99%

Optimal modeling pattern of variables selection on analog complex using UVE-PLS regression

Huang

Tian

2020

IOPSciNotes

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“…Nowadays, there is a wide range of portable instruments of different types in terms of working spectral range, cost, and optical design, which are based on different technologies such as micro‐electro‐mechanical systems (MEMS) or linear variable filters (LVF). They represent a clear evolution in the use of NIRS technology: previously, the sample had to be taken to the lab, but now an in situ analysis is conducted . Faced with such a wide diversity in the characteristics and features of these portable NIRS sensors, there is a need for them to be evaluated to choose which is the most suitable for a certain application or a specific product.…”

Section: Introductionmentioning

confidence: 99%

“…They represent a clear evolution in the use of NIRS technology: previously, the sample had to be taken to the lab, but now an in situ analysis is conducted. 7 Faced with such a wide diversity in the characteristics and features of these portable NIRS sensors, there is a need for them to be evaluated to choose which is the most suitable for a certain application or a specific product.…”

Section: Introductionmentioning

confidence: 99%

Safety and quality issues in summer squashes using handheld portable NIRS sensors for real‐time decision making and for on‐vine monitoring

et al. 2019

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BACKGROUND Portable handheld near infrared spectroscopy (NIRS) instruments currently present enormous advantages in terms of size, weight, and robustness. They also provide fast, precise information that can be obtained in situ, and they represent a viable option for controlling vegetable safety and quality during the growth period. The aim of this research was to evaluate three handheld portable NIRS instruments for in situ and real‐time analysis of intact summer squashes. Traditional methods were used to analyze 221 summer squashes, and this work was used to develop calibration models for morphological, safety, and quality parameters. The longitudinal distribution of nitrate content in summer squashes weighing over 400 g was also studied, and the evolution of this parameter during the harvest period was tracked to determine which summer squashes and which zones of the vegetables (peduncle, equatorial, or stylar) could be earmarked for baby‐food production. RESULTS The robustness of the calibration models confirmed the expectations raised by NIRS technology for morphological, safety, and quality control of individual summer squashes, and the models developed with the MicroNIR‐1700 instrument were those that provided more accuracy and precision, being the peduncle zone the part with higher nitrate content. CONCLUSIONS It is in the peduncle zone, therefore, where measurements of this parameter must be carried out to decide on the destination of the harvested product. Summer squashes picked at the end of the harvest are those that must be used for baby‐food production. © 2019 Society of Chemical Industry

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“…pasteurized milk, sterilized milk, UHT fresh milk and recombined milk) has been reported [2]. Also, near infrared (NIR) portable sensors [4] have been applied for monitoring, in situ, milk composition.…”

Section: Introductionmentioning

confidence: 99%

Dairy products discrimination according to the milk type using an electrochemical multisensor device coupled with chemometric tools

et al. 2018

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This study shows the potential application of a potentiometric electronic tongue coupled with a lab-made DataLogger device for the classification of dairy products according to the type of milk used in their production, i.e., natural, fermented and UHT milk. The electronic tongue device merged a commercial pH electrode and 15 lipid/polymeric membranes, which were obtained by a drop-by-drop technique. The potentiometric signal profiles gathered from the 16 sensors, during the analysis of the 11 dairy products (with ten replicate samples), together with principal component analysis showed that dairy samples could be naturally grouped according to the three types of milk evaluated. To further investigate and verify this capability, a linear discriminant analysis together with a simulated annealing variable selection algorithm was also applied to the electrochemical data, which were randomly split into two datasets, one used for model training and internal-validation using a repeated K-fold cross-validation procedure (with 64% of the data); and the other for external validation purposes (containing the remaining 36% of the data). The multivariate supervised strategy used allowed establishing a classification model, based on the potentiometric information of four sensor lipid membranes, which enabled achieving a successful discrimination rate of 100% for both internal-and external-validation processes. The demonstrated versatility of the built electronic tongue for discriminating dairy products according to the type of milk used in their production combined with its simplicity, low-cost and fast time analysis may envisage a possible future application in dairy industry.

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Matching portable NIRS instruments for in situ monitoring indicators of milk composition

Cited by 64 publications

References 17 publications

Optimal modeling pattern of variables selection on analog complex using UVE-PLS regression

Optimal modeling pattern of variables selection on analog complex using UVE-PLS regression

Safety and quality issues in summer squashes using handheld portable NIRS sensors for real‐time decision making and for on‐vine monitoring

Dairy products discrimination according to the milk type using an electrochemical multisensor device coupled with chemometric tools

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