Hand-held near-infrared spectrometers: State-of-the-art instrumentation and practical applications

Recently, miniaturization of Raman, mid-infrared and near-infrared spectrometers has made substantial progress, and marketing companies predict for this segment of instrumentation a significant growth rate within the next few years. This increase will be based on a more frequent implementation for industrial quality and process control and a wider adoption of spectrometers for in-the-field testing and onsite measurements. However, contrary to Raman and MIR spectroscopy, miniaturization has been much further driven for near-infrared instrumentation. Thus, the present communication will focus on hand-held near-infrared spectrometers only and discuss their applications to selected analytical problems.

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Major ergot alkaloids in naturally contaminated cool-season barley grain grown under a cold climate condition in western Canada, explored with near-infrared (NIR) and fourier transform mid-infrared (ATR-FT/MIR) spectroscopy

Food Control ◽

10.1016/j.foodcont.2019.03.025 ◽

2019 ◽

Vol 102 ◽

pp. 221-230 ◽

Cited By ~ 5

Author(s):

Haitao Shi ◽

Warren Schwab ◽

Na Liu ◽

Peiqiang Yu

Keyword(s):

Fourier Transform ◽

Near Infrared ◽

Ergot Alkaloids ◽

Barley Grain ◽

Cold Climate ◽

Western Canada ◽

Climate Condition ◽

Cool Season ◽

Mid Infrared ◽

Mir Spectroscopy

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Rapid Recognition of Geoherbalism and Authenticity of a Chinese Herb by Data Fusion of Near-Infrared Spectroscopy (NIR) and Mid-Infrared (MIR) Spectroscopy Combined with Chemometrics

Journal of Spectroscopy ◽

10.1155/2019/2467185 ◽

2019 ◽

Vol 2019 ◽

pp. 1-9 ◽

Cited By ~ 1

Author(s):

Haiyan Fu ◽

Qiong Shi ◽

Liuna Wei ◽

Lu Xu ◽

Xiaoming Guo ◽

...

Keyword(s):

Discriminant Analysis ◽

Data Fusion ◽

Near Infrared ◽

Chinese Herb ◽

Nir Spectroscopy ◽

Chinese Herbs ◽

Angelica Dahurica ◽

Mid Infrared ◽

Linear Discriminant ◽

Mir Spectroscopy

Fourier transform near-infrared (NIR) spectroscopy and mid-infrared (MIR) spectroscopy play important roles in all fingerprint techniques because of their unique characteristics such as reliability, versatility, precision, and ease of measurement. In this paper, a supervised pattern recognition method based on the PLSDA algorithm by NIR and the NIR-MIR fusion spectra has been established to identify geoherbalism of Angelica dahurica from different regions and authenticity of Corydalis yanhusuo W. T. Wang. Comparing principle component analysis (PCA) cannot successfully identify geographical origins of Angelica dahurica. Linear discriminant analysis (LDA) also hardly distinguishes those origins. Furthermore, the PLSDA model based on the data fusion of NIR and IR was more accurate and efficient. But, the identification of authenticity of Corydalis yanhusuo W. T. Wang was still inaccurate in the PLSDA model. Consequently, data fusion of NIR-MIR original spectra combined with moving window partial least-squares discriminant analysis was firstly used and showed perfect properties on authenticity and adulteration discrimination of Corydalis yanhusuo W. T. Wang. It indicated that data fusion of NIR-MIR spectra combined with MWPLSDA could be considered as the promising tool for rapid discrimination of the geoherbalism and authenticity of more Chinese herbs in the future.

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Quantitative reflectance spectroscopy as an alternative to traditional wet lab analysis of foliar chemistry: near-infrared and mid-infrared calibrations compared

Canadian Journal of Forest Research ◽

10.1139/x05-037 ◽

2005 ◽

Vol 35 (5) ◽

pp. 1122-1130 ◽

Cited By ~ 28

Author(s):

Andrew D Richardson ◽

James B Reeves III

Keyword(s):

Chemical Composition ◽

Near Infrared ◽

Nir Spectroscopy ◽

Predictive Ability ◽

Reflectance Spectroscopy ◽

Mid Infrared ◽

Mir Spectroscopy ◽

Wet Lab ◽

The Difference ◽

Primitive State

Quantitative reflectance spectroscopy offers an alternative to traditional analytical methods for the determination of the chemical composition of a sample. The objective of this study was to develop a set of spectroscopic calibrations to determine the chemical composition (nutrients, carbon, and fiber constituents, determined using standard wet lab methods) of dried conifer foliage samples (N = 72), and to compare the predictive ability of calibrations based on three different spectral regions: visible and shortwave near infrared (VISsNIR, 400- to 1100-nm wavelengths), near infrared (NIR, 1100- to 2500-nm wavelengths), and mid infrared (MIR, 2500- to 25 000-nm wavelengths). To date, most quantitative reflectance spectroscopy has been based on the VISsNIRNIR, and the ability of MIR calibrations to predict the composition of tree foliage has not been tested. VISsNIR calibrations were clearly inferior to those based on longer wavelengths. For 8 of 11 analytes, the MIR calibrations had the lowest standard error of cross-validation, but in most cases the difference in accuracy between NIR and MIR calibrations was small, and against an independent validation set, there was no clear evidence that either spectral region was superior. Although quantitative MIR spectroscopy is at a more primitive state of development than NIR spectroscopy, these results demonstrate that the mid infrared has considerable promise for quantitative analytical work.

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Mid-Infrared Waveguides: A Perspective

Applied Spectroscopy ◽

10.1177/0003702816659668 ◽

2016 ◽

Vol 70 (10) ◽

pp. 1625-1638 ◽

Cited By ~ 23

Author(s):

Thomas Schädle ◽

Boris Mizaikoff

Keyword(s):

Optical Fibers ◽

First Generation ◽

Classification Scheme ◽

State Of The Art ◽

Third Generation ◽

Future Trends ◽

Mid Infrared ◽

Mir Spectroscopy ◽

Sensing Systems ◽

Infrared Waveguides

Significant advancements in waveguide technology in the mid-infrared (MIR) regime during recent decades have assisted in establishing MIR spectroscopic and sensing technologies as a routine tool among nondestructive analytical methods. In this review, the evolution of MIR waveguides along with state-of-the-art technologies facilitating next-generation MIR chem/bio sensors will be discussed introducing a classification scheme defining three “generations” of MIR waveguides: (1) conventional internal reflection elements as “first generation” waveguides; (2) MIR-transparent optical fibers as “second generation” waveguides; and most recently introduced(3) thin-film structures as “third generation” waveguides. Selected application examples for these each waveguide category along with future trends will highlight utility and perspectives for waveguide-based MIR spectroscopy and sensing systems.

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