Abstract
Ongoing miniaturization of spectrometers creates a perfect synergy with the common advantages of NIR spectroscopy. The combination of portability and direct on-site application with high-throughput and non-invasive way of analysis is a decisive advantage in various industries. The characteristics of miniaturized NIR sensors are noted versus benchtop spectrometers regarding the performance, applicability, and optimization of methodology. These devices remarkably increase the flexibility of analysis; however, various factors affect their performance in different analytical scenarios. Currently, it is a focused research direction to perform systematical evaluation studies of the accuracy and reliability of various miniaturized spectrometers that are based on different technologies, e.g. Fourier transform (FT)-NIR, micro-optoelectro-mechanical system (MOEMS) Hadamard mask or linear variable filter (LVF) coupled with array detector.
Progressing technology is accompanied by innovative data-analytical methods, integrated into the package of a micro-NIR analytical method to improve its accuracy, reliability and applicability. Advanced calibration methods (e.g. artificial neural networks ANN, nonlinear regression) directly improve the performance of miniaturized instruments in challenging analysis and balance the accuracy of these instruments towards laboratory spectrometers. Two-dimensional correlation spectroscopy (2D-COS) provides insight into the relative sensitivity observed between different instruments in specific NIR bands. The quantum mechanical simulation of NIR spectra reveals the wavenumber regions where the best correlated spectral information resides, and unveils the interactions of the target analyte with surrounding matrix, to ultimately enhance the information gathered from the NIR spectra. This set of methods enables the intelligent design of future micro-NIR analyzes, critically important for samples with a complex matrix.
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Huck, C.W., Bec, K.B., Grabska, J. (2022). Current Status and Future Trends in Sensor Miniaturization. In: Chu, X., Guo, L., Huang, Y., Yuan, H. (eds) Sense the Real Change: Proceedings of the 20th International Conference on Near Infrared Spectroscopy. ICNIR 2021. Springer, Singapore. https://doi.org/10.1007/978-981-19-4884-8_5
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