LED-based NIR spectrometer module for hand-held and process analyser applications

Malinen, Jouko; Känsäkoski, Markku; Rikola, Raimo; Eddison, C G

doi:10.1016/s0925-4005(98)00198-1

Cited by 43 publications

(20 citation statements)

References 3 publications

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“…The instruments can employ a set of LEDs as sources of narrow bands of near infrared radiation [28][29][30] or use them to produce a polychromatic, highly stable source whose radiation is dispersed by using common monochromator devices such as those based on gratings or filter optics. 31,32 Common LEDs can be purchased at prices lower than US$ 10 for the shorter NIR wavelength range (700 -1100), although the LEDs operating at higher wavelengths are still expensive. LED and filter based instruments are in strict agreement with the modern tendency for low cost, specific applications and portable instrumentation for in field analysis.…”

Section: Led Based Instrumentsmentioning

confidence: 99%

Near Infrared Spectroscopy: fundamentals, practical aspects and analytical applications

Pasquini¹

2003

J. Braz. Chem. Soc.

719

433

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Este trabalho visa prover uma revisão da teoria da Espectroscopia no Infravermelho Próximo (NIR) e das suas aplicações no campo das Ciências Analíticas. Ele é dirigido ao leitor que não possui um conhecimento profundo sobre espectroscopia vibracional mas que gostaria de ser introduzido às potencialidades analíticas desta técnica fascinante e, ao mesmo tempo, se tornar consciente das suas limitações. A teoria fundamental, uma revisão dos instrumentos modernos existentes e aplicações em inúmeros campos, são apresentados. Este trabalho não pretende suprir uma revisão bibliográfica intensiva mas se refere aos materiais recentes mais significativos e representativos encontrados na literatura técnica. Uma vez que este texto foi produzido em conseqüência do primeiro "workshop" em espectroscopia NIR, que ocorreu em Campinas -Brasil, como uma atividade preliminar ao 11º Encontro Nacional de Química Analítica (ENQA), ele também apresenta o estado da arte na Espectroscopia NIR no Brasil, mostrando seus resultados mais recentes e apontando a necessidade de se elevar esta tecnologia a um nível consistente com aquele de suas atividades econômicas. This paper intends to review the basic theory of Near Infrared (NIR) Spectroscopy and its applications in the field of Analytical Science. It is addressed to the reader who does not have a profound knowledge of vibrational spectroscopy but wants to be introduced to the analytical potentialities of this fascinating technique and, at same time, be conscious of its limitations. Essential theory background, an outline of modern instrument design, practical aspects, and applications in a number of different fields are presented. This work does not intend to supply an intensive bibliography but refers to the most recent, significant and representative material found in the technical literature. Because this paper has been produced as consequence of the First Workshop on Near Infrared Spectroscopy, whose venue was Campinas -Brazil, as a pre-conference activity of the XI National Meeting on Analytical Chemistry (ENQA), it also depicts the state of the art of NIR spectroscopy in Brazil, pointing out the current achievements and the need to take the technology to a level consistent with this country's economical activities.

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Section: Led Based Instrumentsmentioning

confidence: 99%

Near Infrared Spectroscopy: fundamentals, practical aspects and analytical applications

Pasquini¹

2003

J. Braz. Chem. Soc.

719

433

View full text Add to dashboard Cite

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“…Chemical sensors have been pushed to improve their own performance, including new polymer deposition techniques [77], semiconductor oxide materials [78], and the continuous improvement in sensitivity of surface plasmon resonance systems [79]. Malinen et al [80] have worked on a handheld physical sensor. They used reliable, high-efficiency light-emitting diodes (LEDs) as the light source for a near-infrared (NIR) spectrophotometer to produce the small, portable sensor system.…”

Section: Developments In Overcoming Problems In Sensor Analysismentioning

confidence: 99%

Sensors and Food Quality

Connell

Guilbault

2001

Sensors Update

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Production processes require quality control. The quality of food going to the consumer must always be assured. Traditionally this was performed by taking a sample and sending it to a remote laboratory. While this is successful for most samples, this was not always the case. Having remote laboratories means that there could be a significant lag-time between sampling and results. Some unstable samples may have changed or the source material could have been already used/processed by the time they are analyzed. Sensor-based systems, especially those incorporated within flow injection analyzers, can overcome this problem. As the systems can be small and inexpensive relative to other automated analyzers, they can easily be fitted onsite. With the sensors fitted within the production process, a nearly instant reading can be achieved. The advantages and disadvantages of physical, chemical, and biosensors and their applicability to food analysis are discussed. Particular attention is focused on the improvements made to the underlying technology used in biosensor construction.

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“…Rather than relying on miniature holographic gratings, or bandpass filters another possibility is to use monochromatic light sources, e.g. LED or Laser diodes, selected for the measurement of specific chemical components, coupled with a silicon photodiode detector [7]. As far as portable spectrometer are concerned, this alternative is ideal because of its combination of small size, low cost and good robustness.…”

Section: Introductionmentioning

confidence: 99%

Application of LS-SVM to non-linear phenomena in NIR spectroscopy: development of a robust and portable sensor for acidity prediction in grapes

Chauchard¹,

Cogdill²,

Roussel³

et al. 2004

Chemometrics and Intelligent Laboratory Systems

351

250

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Nowadays, near infrared (NIR)technology is being transferred from the laboratory to the industrial world for on-line and portable applications. As a result, new issues are arising, such as the need for increased robustness, or the ability to compensate for non-linearities in the calibration or instrument. Semi-parametric modeling has been suggested as a means for adapting to these complications. In this article, Least-Squared Support Vector Machine (LS-SVM) regression, a semi-parametric modeling technique, is used to predict the acidity of three different grape varieties using NIR spectra. The performance and robustness of LS-SVM regression are compared to Partial Least Square Regression (PLSR) and Multivariate Linear Regression (MLR). LS-SVM regression produces more accurate prediction. However SNV pretreatment is required to improve the model robustness.NIR Spectroscopy Robust calibration LS-SVM PLSR MLR Grapes tartaric and malic acidity.

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LED-based NIR spectrometer module for hand-held and process analyser applications

Cited by 43 publications

References 3 publications

Near Infrared Spectroscopy: fundamentals, practical aspects and analytical applications

Near Infrared Spectroscopy: fundamentals, practical aspects and analytical applications

Sensors and Food Quality

Application of LS-SVM to non-linear phenomena in NIR spectroscopy: development of a robust and portable sensor for acidity prediction in grapes

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