Handheld NIRS sensors for routine compound feed quality control: Real time analysis and field monitoring

Modroño, Sagrario; Soldado, A.; Martínez-Fernández, A.; Roza-Delgado, B. de la

doi:10.1016/j.talanta.2016.10.075

Cited by 59 publications

(19 citation statements)

References 12 publications

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“…Sánchez et al., 27 Modroño et al. 28 and Roza-Delgado et al. 29 conducted examinations using a handheld NIR sensor in nectarine, routine compound feed and milk, respectively.…”

Section: Introductionmentioning

confidence: 99%

Real-time and field monitoring of the key parameters in industrial trough composting process using a handheld near infrared spectrometer

Huang

Sun

Liao

et al. 2020

Journal of Near Infrared Spectroscopy

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Producing organic fertilizer by aerobic composting is an effective way to solve the livestock manure pollution problem and to achieve economic utilization of the valuable resource. To control the composting process effectively and ensure the quality of such organic fertilizers, it is necessary to quantify the key parameters and provide timely feedback of their changes during the composting process. In the industrial field, the traditional laboratory analysis is being transferred into process analysis. This study explored the application of real-time and field monitoring of the key parameters in the industrial trough composting process using handheld near infrared (NIR) spectroscopy and evaluated its ability to accurately predict these changes. The results showed that the handheld NIR could accurately detect moisture content (MC), total nitrogen (TN), total carbon (TC), the carbon/nitrogen (C/N) ratio, organic matter (OM) and electrical conductivity (EC) during the trough composting process, with excellent predictions for MC, good predictions for TN and OM, approximate predictions for TC, C/N ratio and EC. Changes in NIR-predicted values and measured values were consistent as the composting process progressed. The handheld NIR sensor shows good potential for real-time and field monitoring of the composting process and organic fertilizer quality assurance.

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“…Sánchez et al., 27 Modroño et al. 28 and Roza-Delgado et al. 29 conducted examinations using a handheld NIR sensor in nectarine, routine compound feed and milk, respectively.…”

Section: Introductionmentioning

confidence: 99%

Real-time and field monitoring of the key parameters in industrial trough composting process using a handheld near infrared spectrometer

Huang

Sun

Liao

et al. 2020

Journal of Near Infrared Spectroscopy

View full text Add to dashboard Cite

show abstract

“…Notwithstanding, due to its rapidness, one cannot negate the usefulness of the tool for on-site or in situ analysis and screening. Commercial handheld NIR equipment is available and has been scientifically evaluated for real-time analysis and field monitoring [ 234 , 235 ]. Additionally, good calibration required for quantitative accurate chemical analysis requires is laborious as requires multiple analysis by standard and NIR methods simultaneously.…”

Section: Selected Instrumental Techniques and Their Applicationsmentioning

confidence: 99%

Selected Instrumental Techniques Applied in Food and Feed: Quality, Safety and Adulteration Analysis

Artavia

Cortés-Herrera

Granados-Chinchilla³

2021

Foods

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This review presents an overall glance at selected instrumental analytical techniques and methods used in food analysis, focusing on their primary food science research applications. The methods described represent approaches that have already been developed or are currently being implemented in our laboratories. Some techniques are widespread and well known and hence we will focus only in very specific examples, whilst the relatively less common techniques applied in food science are covered in a wider fashion. We made a particular emphasis on the works published on this topic in the last five years. When appropriate, we referred the reader to specialized reports highlighting each technique’s principle and focused on said technologies’ applications in the food analysis field. Each example forwarded will consider the advantages and limitations of the application. Certain study cases will typify that several of the techniques mentioned are used simultaneously to resolve an issue, support novel data, or gather further information from the food sample.

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“…NIR spectroscopy has been largely proposed for the investigation of milk with the aim of providing innovative and rapid methods for the detection of lactose, proteins, carotenoids, and fatty acid contents (Jankovskà and Šustovà, 2003 ; Numthuam et al, 2017 ; Risoluti et al, 2017 ; Wang et al, 2019 ; Soulat et al, 2020 ). In addition, NIR spectroscopy allows users moving out of the laboratory and performing prediction of analytes in complex matrices (Navarra et al, 2003 ; Bretti et al, 2013 ; Paiva et al, 2015 ; Basri et al, 2017 ; da Silva et al, 2017 ; Modrono et al, 2017 ; Risoluti and Materazzi, 2018 ; Risoluti et al, 2018a , b ) by means of portable instruments that directly analyze milk and provide the results (De Angelis Curtis et al, 2008 ; Bian et al, 2017 ; Ferreira de Lima et al, 2018 ). Despite these instruments permitting the transfer of validated methods directly on site, they do not provide a tool enabling consumers to rapidly check the product by itself for application to real situations.…”

Section: Introductionmentioning

confidence: 99%

Assessing the Quality of Milk Using a Multicomponent Analytical Platform MicroNIR/Chemometric

2020

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In this work, an innovative screening platform based on MicroNIR and chemometrics is proposed for the on-site and contactless monitoring of the quality of milk using simultaneous multicomponent analysis. The novelty of this completely automated tool consists of a miniaturized NIR spectrometer operating in a wireless mode that allows samples to be processed in a rapid and accurate way and to obtain in a single click a comprehensive characterization of the chemical composition of milk. To optimize the platform, milk specimens with different origins and compositions were considered and prediction models were developed by chemometric analysis of the NIR spectra using Partial Least Square regression algorithms. Once calibrated, the platform was used to predict samples acquired in the market and validation was performed by comparing results of the novel platform with those obtained from the chromatographic analysis. Results demonstrated the ability of the platform to differentiate milk as a function of the distribution of fatty acids, providing a rapid and non-destructive method to assess the quality of milk and to avoid food adulteration.

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Handheld NIRS sensors for routine compound feed quality control: Real time analysis and field monitoring

Cited by 59 publications

References 12 publications

Real-time and field monitoring of the key parameters in industrial trough composting process using a handheld near infrared spectrometer

Real-time and field monitoring of the key parameters in industrial trough composting process using a handheld near infrared spectrometer

Selected Instrumental Techniques Applied in Food and Feed: Quality, Safety and Adulteration Analysis

Assessing the Quality of Milk Using a Multicomponent Analytical Platform MicroNIR/Chemometric

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