MEMS‐ and MOEMS‐Based Visible and Near‐Infrared Spectrometers

Antila, Jarkko; Tuohiniemi, Mikko; Rissanen, Anna; Kantojärvi, Uula; Lahti, Markku; Viherkanto, Kai; Kaarre, Marko; Malinen, Jouko; Näsilä, Antti

doi:10.1002/9780470027318.a9376.pub2

Cited by 8 publications

(5 citation statements)

References 109 publications

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“…Consistently with what was already pointed out by the literature on this kind of instrumentation [36], a strict dependence on the considered application [2] and the particle Differences in the instrumental technologies (e.g., use of optical fiber, dimension of the spectral window, light source) strictly influence the path of light and, thus, the obtained signal. The sensors can scan different sample areas depending on the technological features, and this could be a key point when dealing with inhomogeneous samples [35].…”

Section: Spectrasupporting

confidence: 82%

“…Consistently with what was already pointed out by the literature on this kind of instrumentation [36], a strict dependence on the considered application [2] and the particle size of the sample has to be considered [37,38]. In this sense, other interesting aspects arise from the evaluation of the compactness of the samples, which influences the spectra at the reproducibility level.…”

Section: Spectramentioning

confidence: 63%

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On the Importance of Investigating Data Structure in Miniaturized NIR Spectroscopy Measurements of Food: The Case Study of Sugar

Gorla

Taborelli

Alamprese

et al. 2023

Foods

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Alongside the increasing proofs of efficacy of miniaturized NIR instruments in food-related scenarios, it is progressively growing the number of end-users, even incentivized by the low-cost of the sensors. While attention is paid to the analytical protocol–from sampling to data collection, up to the data processing, the importance of error investigation in raw data is generally underestimated. Understanding the sources and the structure of uncertainty related to the raw data improves the quality of measurements and suggests the correct planning of the experiments, as well as helps in chemometric model development. The goal of chemometric modeling is to separate information from noise; therefore, a description of the nature of measurement error structure is necessary. Among the different approaches, we present the study of the Error Covariance Matrices (ECMs) and their decomposition in a bilinear structure as a powerful method to study the main sources of variability when using miniaturized NIR sensors in the actual way of use. Granulated and lump sugar samples were chosen as the case study and analyzed with two miniaturized spectrometers working in the NIR regions around 1350–2550 nm and 900–1750 nm, respectively, in dispersive reflectance mode. Results show that having some insights on multivariate measurement errors associated with spectra could be interesting in paving the way for several applications.

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Section: Spectrasupporting

confidence: 82%

Section: Spectramentioning

confidence: 63%

On the Importance of Investigating Data Structure in Miniaturized NIR Spectroscopy Measurements of Food: The Case Study of Sugar

Gorla

Taborelli

Alamprese

et al. 2023

Foods

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show abstract

“…The recent progress in NIR spectrometer miniaturization has taken advantage of new micro-technologies, such as MEMS (Micro-Electro-Mechanical Systems) and MOEMS (Micro-Opto-Electro-Mechanical Systems) [1]. Based on the type of detector, handheld NIR spectrometers can be classified into two categories: array-detector and single-detector instruments.…”

Section: Instrumentationmentioning

confidence: 99%

On-site quality control and protection against product counterfeiting by handheld NIR spectroscopy: anytime, anywhere

Siesler

Yan

Neves

2023

Next-Generation Spectroscopic Technologies XV

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The present review article considers the rapid development of miniaturized handheld near-infrared spectrometers over the last decade and provides a short overview of current instrumental developments and exemplary applications in the fields of material and food control. Care is taken, however, not to fall into the exaggerated and sometimes overoptimistic narrative of some direct-to-consumer companies, which has raised unrealistic expectations with full-bodied promises, but has harmed the very valuable technology of NIR spectroscopy, rather than promoting its further development. Particular attention is paid to potential applications that will enable a clientele that is not necessarily scientifically trained to solve quality control and authentication problems in everyday life with this technology in the not-too-distant future.

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“…MEMS technology also facilitates the integration of multiple optical elements onto a single chip, leading to highly compact sensor designs. 2,3 Advanced Optics: Innovations in optical design have contributed to the development of compact spectral sensors with improved performance. For example, diffractive optics and holographic gratings enable efficient light dispersion and collection in miniature spectrometer designs.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of compact spectroscopic sensors in the NIR wavelength range for quality control and material analysis

Arnold,

De Biasio,

Oliveira

2024

Next-Generation Spectroscopic Technologies XVI

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Spectral sensing technology has rapidly evolved in recent years, with compact spectral sensors emerging as powerful tools for quality control and material analysis across diverse industrial and scientific domains. Compact spectral sensors offer significant advantages in terms of size, affordability, and versatility, making them an attractive choice for quality control and material analysis tasks. The state-of-the-art spectral sensors evaluated in this paper are sensors from Senorics (1200-1700nm, 16 channel) and from AMS (750-1050nm, 61 channel). The strengths and limitations of each sensor are evaluated, providing valuable insights for end-users, researchers, and engineers seeking to select the most suitable sensor for their specific application. Quality control and material analysis applications are the focus of this evaluation. This research underscores the key strengths and limitations of compact spectral sensors, and the potential for data fusion techniques to further enhance their capabilities. It highlights the role of these sensors in transforming quality control processes, enabling rapid and non-destructive material analysis, and ensuring compliance with stringent industry standards. The findings presented in this paper offer researchers, engineers, and practitioners a deeper understanding of the potential of the selected sensors across a range of applications. As we continue to harness these sensors for quality control and material analysis, we are on the path to achieving more efficient, reliable, and sustainable processes in a variety of industries.

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MEMS‐ and MOEMS‐Based Visible and Near‐Infrared Spectrometers

Cited by 8 publications

References 109 publications

On the Importance of Investigating Data Structure in Miniaturized NIR Spectroscopy Measurements of Food: The Case Study of Sugar

On the Importance of Investigating Data Structure in Miniaturized NIR Spectroscopy Measurements of Food: The Case Study of Sugar

On-site quality control and protection against product counterfeiting by handheld NIR spectroscopy: anytime, anywhere

Evaluation of compact spectroscopic sensors in the NIR wavelength range for quality control and material analysis

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