Near-Infrared Grating Spectrometer for Mobile Phone Applications

Pügner, Tino; Knobbe, Jens; Grüger, Heinrich

doi:10.1177/0003702816638277

Cited by 60 publications

(28 citation statements)

References 8 publications

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“…Therefore, MEMS technology represents a paradigm shift for industrial applications of NIR spectroscopy, introducing new opportunities for spectroscopic sensors (Figure 4). 14 For instance, Pügner et al 15 have recently developed a novel hybrid-integrated MEMS scanning grating spectrometer to estimate chemical components in food products with low power consumption (a few milliwatts) and a volume of only 2.1 cm 3 , which could potentially be implemented in smartphones.…”

Section: Fundamentals Of Near-infrared Spectroscopymentioning

confidence: 99%

A Review of the Principles and Applications of Near-Infrared Spectroscopy to Characterize Meat, Fat, and Meat Products

et al. 2017

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Consumer demand for quality and healthfulness has led to a higher need for quality assurance in meat production. This requirement has increased interest in near-infrared (NIR) spectroscopy due to the ability for rapid, environmentally friendly, and noninvasive prediction of meat quality or authentication of added-value meat products. This review includes the principles of NIR spectroscopy, pre-processing methods, and multivariate analyses used for quantitative and qualitative purposes in the meat sector. Recent advances in portable NIR spectrometers that enable new online applications in the meat industry are shown and their performance evaluated. Discrepancies between published studies and potential sources of variability are discussed, and further research is encouraged to face the challenges of using NIRS technology in commercial applications, so that its full potential can be achieved.

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Section: Fundamentals Of Near-infrared Spectroscopymentioning

confidence: 99%

A Review of the Principles and Applications of Near-Infrared Spectroscopy to Characterize Meat, Fat, and Meat Products

et al. 2017

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“…A SCiO TM handheld NIR Spectrometer was used to collect the sample, which has a spectral range between 740 nm and 1070 nm (Goldring et al, 2016). Its low price and reduced dimensions allow the researchers to perform rapid tests which could be developed and integrated for example into a smartphone (Cartwright, 2016, Das et al, 2015, Pügner et al, 2016. Previous works have already pointed to the high potential of this low-cost device (Haughey et al, 2014, Schulte et al, 2015.…”

Section: Spectral Acquisition Of Eggsmentioning

confidence: 99%

Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques

Coronel-Reyes

Ramírez-Morales

Fernández-Blanco

et al. 2018

Computers and Electronics in Agriculture

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Currently, consumers are more concerned about freshness and quality of food. Poultry egg storage time is a freshness and quality indicator in industrial and consumer applications, even though egg marking is not always required outside the European Union. Other authors have already published works using expensive laboratory equipment in order to determine the storage time and freshness of eggs. This paper presents a novel alternative method based on low-cost devices for the rapid and non-destructive prediction of egg storage time at room temperature (23 ± 1 °C). H&N brown flock with 49-week-old hens were used as a source for the sampled eggs. Samples were scanned for a period of 22 days beginning from the time the egg was laid. The spectral acquisition was performed using a low-cost near-infrared reflectance (NIR) spectrometer which has a wavelength range between 740 nm and 1070 nm. The resulting dataset of 660 samples was randomly split according to a 10-fold cross-validation in order to be used in a contrast and optimization process of two machine learning algorithms. During the optimization, several models were tested to develop a robust calibration model. The best model used a Savitzky Golay pre-processing technique with a third derivative order and an artificial neural network with ten neurons in one hidden layer. Regressing the storage time of the eggs, tests achieved a coefficient of determination (R-squared) of 0.8319 ± 0.0377 and a root mean squared error in cross-validation test set (RMSECV) of 1.97 days. Although further work is needed, this technique shows industrial potential and consumer utility to determine an egg's freshness using a low-cost spectrometer connected to a smartphone.

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“…Since each of the four interferometers has a full travel range 2L of 360 μm, the total range is 1440 μm. Theoretically, this improves the resolution from 33 cm −1 to 8.3 cm −1 , according to the full-width at half-maximum (FWHM) criterion 13 . The interferogram of the first interferometer has an OPD range from −860 to −500 μm, the second has an OPD range from −500 to −140 μm, the third has an OPD range from −140 to 220 μm, and the fourth has an OPD range from 220 to 580 μm.…”

Section: Experimental Devicementioning

confidence: 99%

“…In addition, very few attempts extend to the mid-infrared 9,10 , and those that do still have a very limited bandwidth. In fact, MEMS spectrometers can be based on different configurations 12 such as diffraction gratings 13 , digital micro-mirror devices (DMDs) 11 , Fourier transform interferometers 14 , linear variable filters and tuneable Fabry-Pérot filters 15 .…”

mentioning

confidence: 99%

On-chip parallel Fourier transform spectrometer for broadband selective infrared spectral sensing

Fathy

Sabry

Nazeer³

et al. 2020

Microsyst Nanoeng

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Optical spectrometers enable contactless chemical analysis. However, decreasing both their size and cost appears to be a prerequisite to their widespread deployment. Chip-scale implementation of optical spectrometers still requires tackling two main challenges. First, operation over a broad spectral range extending to the infrared is required to enable covering the molecular absorption spectrum of a broad variety of materials. This is addressed in our work with an Micro-Electro Mechanical Systems (MEMS)-based Fourier transform infrared spectrometer with an embedded movable micro-mirror on a silicon chip. Second, fine spectral resolution Δλ is also required to facilitate screening over several chemicals. A fundamental limit states that Δλ is inversely proportional to the mirror motion range, which cannot exceed the chip size. To boost the spectral resolution beyond this limit, we propose the concept of parallel (or multi-core) FTIR, where multiple interferometers provide complementary optical paths using the same actuator and within the same chip. The concept scalability is validated with 4 interferometers, leading to approximately 3 times better spectral resolution. After the atmospheric contents of a greenhouse gas are monitored, the methane absorption bands are successfully measured and discriminated using the presented device.

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Near-Infrared Grating Spectrometer for Mobile Phone Applications

Cited by 60 publications

References 8 publications

A Review of the Principles and Applications of Near-Infrared Spectroscopy to Characterize Meat, Fat, and Meat Products

A Review of the Principles and Applications of Near-Infrared Spectroscopy to Characterize Meat, Fat, and Meat Products

Determination of egg storage time at room temperature using a low-cost NIR spectrometer and machine learning techniques

On-chip parallel Fourier transform spectrometer for broadband selective infrared spectral sensing

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