Miniature near-infrared spectrometer for point-of-use chemical analysis

Friedrich, Donald M.; Hulse, Charles A.; Gunten, Marc von; Williamson, E.P.; Pederson, Christopher G.; O’Brien, Nada A.

doi:10.1117/12.2040669

Cited by 20 publications

(16 citation statements)

References 3 publications

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“…6d), based on an LVF and 128-pixel InGaAs array, covering 950-1650 nm (10 526-6060 cm -1 ), with a spectral bandwidth (resolution) of <1.25% of center wavelength yielding a resolution of <12.5 nm at 1000 nm). [247][248][249][250] The handheld instruments are powered via their USB interface; typical measurement times are < 1 s. Siesler has compared a laboratory FT-IR and the Viavi MicroNIR 1700 instruments 251 and found that calibrations for both quantitative predictions and qualitative classifications can be transferred successfully from the laboratory instrument to the portable analyzer. He has also compared the performance of several miniature NIR spectrometers for polymer identification (recycling).…”

Section: Linear Variable Filtersmentioning

confidence: 99%

Portable Spectroscopy

Crocombe¹

2018

Appl Spectrosc

348

233

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Until very recently, handheld spectrometers were the domain of major analytical and security instrument companies, with turnkey analyzers using spectroscopic techniques from X-ray fluorescence (XRF) for elemental analysis (metals), to Raman, mid-infrared, and near-infrared (NIR) for molecular analysis (mostly organics). However, the past few years have seen rapid changes in this landscape with the introduction of handheld laser-induced breakdown spectroscopy (LIBS), smartphone spectroscopy focusing on medical diagnostics for low-resource areas, commercial engines that a variety of companies can build up into products, hyphenated or dual technology instruments, low-cost visible-shortwave NIR instruments selling directly to the public, and, most recently, portable hyperspectral imaging instruments. Successful handheld instruments are designed to give answers to non-scientist operators; therefore, their developers have put extensive resources into reliable identification algorithms, spectroscopic libraries or databases, and qualitative and quantitative calibrations. As spectroscopic instruments become smaller and lower cost, ''engines'' have emerged, leading to the possibility of being incorporated in consumer devices and smart appliances, part of the Internet of Things (IOT). This review outlines the technologies used in portable spectroscopy, discusses their applications, both qualitative and quantitative, and how instrument developers and vendors have approached giving actionable answers to non-scientists. It outlines concerns on crowdsourced data, especially for heterogeneous samples, and finally looks towards the future in areas like IOT, emerging technologies for instruments, and portable hyphenated and hyperspectral instruments.

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Section: Linear Variable Filtersmentioning

confidence: 99%

Portable Spectroscopy

Crocombe¹

2018

Appl Spectrosc

348

233

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“…This excellent instrument-to-instrument method transferability can be attributed to the consistent performance of MicroNIR spectrometers spectrally, optically and physically, which was enabled by the wavelength calibration reproducibility and photometric stability of the MicroNIR spectrometers. 23 …”

Section: Resultsmentioning

confidence: 99%

“…This ultra-compact spectrometer offers high-speed measurement, ruggedness, stability, portability, and low power consumption, and has been successfully used in several applications. 16 , 23 – 26 The use of MicroNIR spectrometers with excellent performance consistency and the powerful SVM algorithm makes rapid and reliable on-site RMID highly achievable.…”

Section: Introductionmentioning

confidence: 99%

Pharmaceutical Raw Material Identification Using Miniature Near-Infrared (MicroNIR) Spectroscopy and Supervised Pattern Recognition Using Support Vector Machine

et al. 2016

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Near-infrared spectroscopy as a rapid and non-destructive analytical technique offers great advantages for pharmaceutical raw material identification (RMID) to fulfill the quality and safety requirements in pharmaceutical industry. In this study, we demonstrated the use of portable miniature near-infrared (MicroNIR) spectrometers for NIR-based pharmaceutical RMID and solved two challenges in this area, model transferability and large-scale classification, with the aid of support vector machine (SVM) modeling. We used a set of 19 pharmaceutical compounds including various active pharmaceutical ingredients (APIs) and excipients and six MicroNIR spectrometers to test model transferability. For the test of large-scale classification, we used another set of 253 pharmaceutical compounds comprised of both chemically and physically different APIs and excipients. We compared SVM with conventional chemometric modeling techniques, including soft independent modeling of class analogy, partial least squares discriminant analysis, linear discriminant analysis, and quadratic discriminant analysis. Support vector machine modeling using a linear kernel, especially when combined with a hierarchical scheme, exhibited excellent performance in both model transferability and large-scale classification. Hence, ultra-compact, portable and robust MicroNIR spectrometers coupled with SVM modeling can make on-site and in situ pharmaceutical RMID for large-volume applications highly achievable.

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“…by Perez-Marin or Sanchez (Peréz-Marín et al 2009;Sánchez et al 2011). The portable infrared spectroscopy can be obtained even as an accessory to a smartphone, as described by Friedrich (Friedrich et al 2014). Handheld NIR spectrometers were applied in a characterization of grapes on-vine ripening (Gonzáles-Caballero et al 2012) or in an analysis of fruits and vegetables (Plans et al 2013;Pérez-Marín et al 2010;Tiwari et al 2013).…”

Section: Introductionmentioning

confidence: 99%

Study of phenolic profile and antioxidant activity in selected Moravian wines during winemaking process by FT-IR spectroscopy

et al. 2015

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Wine belongs to a family of products where the quality matters. Its quality can be in principle verified using diverse physicochemical approaches, including the determination of various chemical compounds generally accepted as chemical markers of product quality. Example of such applicable compounds is a family derived from phenols. Next to a more classical approach, infrared spectroscopy can play an important role in this game. Here we sought to develop an easy to use, ultra-fast and robust method based on FT-IR with some important advantages including lower sample and solvent consumptions. The tested and evaluated method was consequently applied in a monitoring of changes in a content of total phenolic compounds (TPC) and total antioxidant activity (TAA) during a process of wine-making. It was found out that total amount of phenolic compounds differs both for individual kind of wines, namely red, white and rose, at each processing stage of the production. The content of phenolic compounds of red and white wine increased while an opposite trend was observed in rose wine. TAA values of analysed wines showed difference between individual kind of wine and indicate the same trend like phenolic profile. Antioxidant activity values relate to changes of phenolic content during production process.

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Miniature near-infrared spectrometer for point-of-use chemical analysis

Cited by 20 publications

References 3 publications

Portable Spectroscopy

Portable Spectroscopy

Pharmaceutical Raw Material Identification Using Miniature Near-Infrared (MicroNIR) Spectroscopy and Supervised Pattern Recognition Using Support Vector Machine

Study of phenolic profile and antioxidant activity in selected Moravian wines during winemaking process by FT-IR spectroscopy

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