Research graph
References from From optical architectures to actual deployment a review of online process spectroscopy in industrial environments. Local targets link to admitted publications; unresolved targets remain external evidence.
Convolutional neural networks for vibrational spectroscopic data analysis
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A new and efficient variable selection algorithm based on ant colony optimization: applications to near infrared spectroscopy/partial least-squares analysis
10.1016/j.aca.2011.04.061 · 2011 · External reference
Multi-Sensors data fusion for monitoring of powdered and granule products: current status and future perspectives
10.1016/j.apt.2023.104055 · 2023 · External reference
Concept and optical design of a compact cross-grating spectrometer
10.1364/josaa.36.000345 · 2019 · External reference
Support Vector machine regression (SVR/LS-SVM) - an alternative to neural networks (ANN) for analytical chemistry? Comparison of nonlinear methods on near infrared (NIR) spectroscopy data
10.1039/c0an00387e · 2011 · External reference
NIR spectroscopy - CNN-Enabled chemometrics for multianalyte monitoring in microbial fermentation
10.1002/bit.28681 · 2024 · External reference
A practical evaluation of qualitative and quantitative chemometric models for real-time monitoring of moisture content in a fluidised bed dryer using near infrared technology
10.1255/jnirs.1095 · 2014 · External reference
Preliminary Study on the analysis of forages with a filter-type near-infrared reflectance spectrometer
10.1021/jf60226a041 · 1979 · External reference
Plant analysis using near infrared Reflectance spectroscopy: the potential and the limitations
10.1071/ea97146 · 1998 · External reference
In-Line and real-time process monitoring of a freeze drying process using raman and NIR spectroscopy as complementary Process Analytical Technology (PAT) tools
10.1002/jps.21633 · 2009 · External reference
Acousto-optic tunable filters: fundamentals and applications as applied to chemical analysis techniques
10.1016/s0079-6727(03)00083-1 · 2004 · External reference
Continuous direct compression: development of an empirical predictive model and challenges regarding PAT implementation
10.1016/j.ijpx.2021.100110 · 2022 · External reference
Quantitative In-Line monitoring of powder blending by near infrared reflection spectroscopy
10.1016/s0032-5910(01)00456-9 · 2002 · External reference
Accuracy improvement of In-Line near-infrared spectroscopic moisture monitoring in a fluidized bed drying process
10.3389/fchem.2018.00388 · 2018 · External reference
ICH Q14 analytical procedure development
10.1002/9783527831708.ch8 · 2025 · External reference
Principles of instrumental analysis (4th ed.)
1992 · External reference
QCM sensor arrays, electroanalytical techniques and NIR spectroscopy coupled to multivariate analysis for quality assessment of food products, raw materials, ingredients and foodborne pathogen detection: challenges and breakthroughs
10.3390/s20236982 · 2020 · External reference
Unresolved reference
2021 · External reference
Industry perspectives on process analytical technology: tools and applications in API development
10.1021/op400358b · 2015 · External reference
Problem formulations and solvers in Linear SVM: a review
10.1007/s10462-018-9614-6 · 2019 · External reference
Leave-One-Batch-Out cross-validation reveals strong batch effects in raman spectroscopy of yeast cultures
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Piecewise direct standardization assisted with second-order calibration methods to solve signal instability in high-performance liquid chromatography-diode array detection systems
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Faraday laser: a frequency-stabilized diode laser based on faraday atomic optical filters
2025 · External reference
10.1007/978-981-19-1625-0
10.1007/978-981-19-1625-0 · 2022 · External reference
Applications of near-infrared spectroscopy in refineries and important issues to address
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Spectroscopic sensors for In-Line bioprocess monitoring in research and pharmaceutical industrial application
10.1007/s00216-016-0068-x · 2017 · External reference
Artificial intelligence-powered raman spectroscopy through open science and FAIR principles
10.1021/acsnano.5c09165 · 2025 · External reference
Dryer effluent monitoring in a chemical pilot plant via fiber-optic near-infrared spectroscopy
10.1366/0003702981944139 · 1998 · External reference
Kinetics study of hydrothermal degradation of PET waste into useful products
10.3390/pr10010024 · 2021 · External reference
Modern practical convolutional neural networks for multivariate regression: applications to NIR calibration
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Biopharmaceutical analysis – current analytical challenges, limitations, and perspectives
10.1007/s00216-025-06036-2 · 2026 · External reference
Long-term strategy for assessing carbonaceous particulate matter concentrations from multiple fourier transform infrared (FT-IR) instruments: influence of spectral dissimilarities on multivariate calibration performance
10.1177/0003702818804574 · 2019 · External reference
Non-destructive monitoring of moisture and plastid pigments in tobacco leaves during curing using near-infrared spectroscopy (NIRS) with feature fusion and a one-dimensional convolutional neural network (1D-CNN)
10.1080/00032719.2026.2658261 · 2026 · External reference
On-Line monitoring of guizhi fuling capsules and tablets dissolution behavior using near-infrared spectroscopy combined with chemometrics
10.1007/s41664-025-00349-y · 2025 · External reference
Principles, techniques, and limitations of near infrared spectroscopy
10.1139/h04-031 · 2004 · External reference
Moving your laboratories to the field – advantages and limitations of the use of field portable instruments in environmental sample analysis
10.1016/j.envres.2015.05.017 · 2015 · External reference
Application of calibration transfer techniques between different mid-infrared spectrometers/modules to improve accuracy in estimating soil properties
10.1002/saj2.70147 · 2025 · External reference
Online product quality monitoring through In-Process measurement
10.1016/j.cirp.2014.03.041 · 2014 · External reference
Near-infrared emission spectrometry based on an acousto-optic tunable filter
10.1021/ac048656o · 2005 · External reference
Design and fabrication steps for a MEMS-based infrared spectrometer using evanescent wave sensing
10.1016/j.sna.2007.09.009 · 2008 · External reference
Interferometers vs monochromators: separating the optical and digital advantages
10.1366/000370277774464048 · 1977 · External reference
Acousto-optic tunable filter-based visible-to-near-infrared spectropolarimetric imager
10.1117/1.1467936 · 2002 · External reference
Reproducibility standards for machine learning in the life sciences
10.1038/s41592-021-01256-7 · 2021 · External reference
Continuous flow synthesis of nitrofuran pharmaceuticals using acetyl nitrate
10.1002/anie.202501660 · 2025 · External reference
Remote detection of marine debris using satellite observations in the visible and near infrared spectral range: challenges and potentials
10.1016/j.rse.2021.112414 · 2021 · External reference
Near-infrared spectroscopy combined with machine learning methods for distinguishment of the storage years of rice
10.1016/j.infrared.2023.104835 · 2023 · External reference
New trend in instrumentation of NIR spectroscopy – miniaturization
10.1007/978-981-15-8648-4_8 · 2021 · External reference
Chapter 4 fourier transform infrared spectroscopy: principles and applications
1997 · External reference
An offline and online approach to the OLTC condition monitoring: a review
10.3390/en15176435 · 2022 · External reference
Unresolved reference
1980 · External reference
Adaptive broad learning network for lightweight multi-dimensional spectrum prediction
10.1109/tvt.2024.3497582 · 2024 · External reference
Preprocessing methods for near-infrared spectrum calibration
10.1002/cem.3306 · 2020 · External reference
Single-channel white light interference vibration-resistant measurement method based on non-uniform fast fourier transform
10.1364/oe.559497 · 2025 · External reference
Utilization of process analytical technologies in granulation: a comparison of microwave resonance and near-infrared spectroscopy
2025 · External reference
A comparative study of ATR-FTIR and FT-NIR spectroscopy for in-situ concentration monitoring during batch cooling crystallization processes
10.1021/cg100135j · 2010 · External reference
Leakage in data mining: formulation, detection, and avoidance
10.1145/2382577.2382579 · 2012 · External reference
Comparison of off-line, On-Line and In-Line measuring techniques used for determining the rheological characteristics of polyethylene composites with calcium carbonate
10.14314/polimery.2019.2.1 · 2019 · External reference
Ensuring accuracy and reliability in spectroscopic diagnostics: the role of quality control systems
10.1080/05704928.2025.2506594 · 2026 · External reference
Advantages and disadvantages in the use of fourier transform infrared (FTIR) and filter infrared (FIR) spectrometers for monitoring airborne gases and vapors of industrial hygiene concern
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A new scattering correction method of different spectroscopic analysis for assessing complex mixtures
10.1016/j.aca.2019.08.067 · 2019 · External reference
A survey of convolutional neural networks: analysis, applications, and prospects
10.1109/tnnls.2021.3084827 · 2021 · External reference
Variable filter array spectrometer of VPD PbSe. Thermosense
10.1117/12.919305 · 2012 · External reference
Real-time grading of roasted tobacco using near-infrared spectroscopy technology
10.1016/j.microc.2024.110963 · 2024 · External reference
On the limit of detection in infrared spectroscopic imaging
10.1177/00037028211050961 · 2022 · External reference
Relating near-infrared light path-length modifications to the water content of scattering media in near-infrared spectroscopy: toward a new bouguer–beer–lambert law
10.1021/acs.analchem.1c00811 · 2021 · External reference
The application of near-infrared spatially resolved spectroscopy in scope of achieving continuous real-time quality monitoring and control of tablets with challenging dimensions
10.1016/j.ijpharm.2023.123064 · 2023 · External reference
Extended multiplicative signal correction and spectral interference subtraction: new preprocessing methods for near infrared spectroscopy
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Metrological traceability in process analytical technologies and point-of-need technologies for food safety and quality control: not a straightforward issue
10.1007/s00216-022-04398-5 · 2023 · External reference
Theae nigrae folium: comparing the analytical performance of benchtop and handheld near-infrared spectrometers
10.1016/j.talanta.2020.121165 · 2021 · External reference
Thermal analysis of TeO2-Based acousto-optic tunable filters for spectral imaging
10.1117/12.3018451 · 2024 · External reference
Inline infrared chemical identification of particulate matter
10.3390/s20154193 · 2020 · External reference
Algorithm parameters for retrieving land surface temperature from the SDGSAT-1 thermal infrared spectrometer
10.1016/j.jag.2024.104340 · 2025 · External reference
Modeling and compensating non-uniformity in push-broom NIR hyperspectral imaging system
10.1016/j.infrared.2014.01.004 · 2014 · External reference
Near infrared spectroscopy: a mature analytical technique with new perspectives – a review
10.1016/j.aca.2018.04.004 · 2018 · External reference
Integrating deep learning and near-infrared spectroscopy for quality control of traditional Chinese medicine extracts
10.1016/j.microc.2024.111310 · 2024 · External reference
Lightweight deep learning-based spectrum sensing under dynamic PU activity in cognitive radio
10.1109/ojcoms.2026.3698785 · 2026 · External reference
Review of near-infrared spectroscopy as a process analytical technology for real-time product monitoring in dairy processing
10.1016/j.idairyj.2019.104623 · 2020 · External reference
High-speed mid-infrared imaging via nonlinear multiplexed detection
10.1002/lpor.202500308 · 2025 · External reference
Infrared spectroscopy for real-time gas logging: a critical review of methodological advances and field deployment challenges
10.1080/05704928.2025.2611743 · 2026 · External reference
Recursive weighted partial least squares (rPLS): an efficient variable selection method using PLS
10.1002/cem.2582 · 2014 · External reference
Automatic correction for window fouling of near infrared probes in fluidised systems
10.1255/jnirs.1102 · 2014 · External reference
Unresolved reference
2024 · External reference
Operando high speed near infrared imaging during laser sintering of nanoparticles for time and space resolved temperature measurements
10.1038/s41598-026-37445-7 · 2026 · External reference
Nondestructive online measurement of pineapple maturity and soluble solids content using visible and near-infrared spectral analysis
10.1016/j.postharvbio.2023.112706 · 2024 · External reference
Advances and applications of chemometrics: the future of data-driven analysis - a review
10.22036/abcr.2025.550864.2443 · 2026 · External reference
Comparison of grating-based near-infrared (NIR) and fourier transform mid-infrared (ATR-FT/MIR) spectroscopy based on spectral preprocessing and wavelength selection for the determination of crude protein and moisture content in wheat
10.1016/j.foodcont.2017.06.015 · 2017 · External reference
Assessment of recent process analytical technology (PAT) trends: a multiauthor review
10.1021/op500261y · 2015 · External reference
A rapid method to predict type and adulteration of coconut milk by near-infrared spectroscopy combined with machine learning and chemometric tools
10.1016/j.microc.2023.109461 · 2023 · External reference
10.1201/b10777
10.1201/b10777 · 2011 · External reference
Comparative analysis of rapid quality evaluation of Salvia miltiorrhiza (danshen) with fourier transform near-infrared spectrometer and portable near-infrared spectrometer
10.1016/j.microc.2020.105492 · 2020 · External reference
Correcting replicate variation in spectroscopic data by machine learning and model-based pre-processing
10.1016/j.chemolab.2021.104350 · 2021 · External reference
Integrating adaptive moving window and just-in-time learning paradigms for soft-sensor design
10.1016/j.neucom.2020.01.083 · 2020 · External reference
Assessment of moisture content measurement methods of dried food products in small-scale operations in developing countries: a review
10.1016/j.tifs.2019.04.006 · 2019 · External reference
Research progress on online detection technology for total moisture in coal
10.3969/j.issn.1007-7677.2024.01.010 · 2024 · External reference
Big data driven outlier detection for soybean straw near infrared spectroscopy
10.1016/j.jocs.2017.06.008 · 2018 · External reference
Throughput-enhanced FTIR spectrometers with deep learning-based spectral recovery
10.1016/j.infrared.2023.105108 · 2024 · External reference
Applications of near-infrared spectroscopy to process analysis using a fourier transform spectrometer
10.1007/s10043-010-0057-9 · 2010 · External reference
FT-IR and NIR spectroscopic imaging: principles, practical aspects and applications in material and pharmaceutical sciences
10.1002/9783527628230.ch9 · 2009 · External reference
Limits of IR-Spectrometers based on linear variable filters and detector arrays
10.1117/12.860532 · 2010 · External reference
Unresolved reference
2024 · External reference
PLS-Regression: a basic tool of chemometrics
10.1016/s0169-7439(01)00155-1 · External reference
Some recent developments in PLS modeling
10.1016/s0169-7439(01)00156-3 · External reference
Practical guide to interpretive near-infrared spectroscopy
10.1201/9781420018318 · 2007 · External reference
A review of calibration transfer practices and instrument differences in spectroscopy
10.1177/0003702817736064 · 2018 · External reference
Comparison of the new Mie extinction extended multiplicative scattering correction and resonant Mie extended multiplicative scattering correction in transmission infrared tissue image scattering correction
10.1016/j.infrared.2020.103291 · 2020 · External reference
Classification of thermal image of clinical burn based on incremental reinforcement learning
10.1007/s00521-021-05772-7 · 2022 · External reference
Review on application of near-infrared spectroscopy identification technology in sorting impurities from waste paper
10.4028/www.scientific.net/amr.1006-1007.752 · 2014 · External reference
A review on spectral data preprocessing techniques for machine learning and quantitative analysis
10.1016/j.isci.2025.112759 · 2025 · External reference
Study on the effect of formulation changes on the measurement deviation of the tobacco TM710 moisture meter
2019 · External reference
The calibration methods of geometric parameters of crystal for mid-infrared acousto-optic tunable filter-based imaging systems design
10.3390/ma16062341 · 2023 · External reference
Geographical origin identification of Chinese tomatoes using long-wave fourier-transform near-infrared spectroscopy combined with deep learning methods
10.1007/s12161-023-02444-1 · 2023 · External reference
Integration of microreactors with spectroscopic detection for online reaction monitoring and catalyst characterization
10.1021/ie301258j · 2012 · External reference
Comparison of partial least square, artificial neural network, and support vector regressions for real-time monitoring of CHO cell culture processes using in situ near-infrared spectroscopy
10.1002/bit.27997 · 2022 · External reference
A review of machine learning for near-infrared spectroscopy
10.3390/s22249764 · 2022 · External reference
Recent applications of near infrared to pharmaceutical process monitoring and quality control
10.1007/s44211-025-00794-w · 2025 · External reference
Development of a dual-path system for band-to-band registration of an acousto-optic tunable filter-based imaging spectrometer
10.1364/ol.38.004120 · 2013 · External reference
Improved mahalanobis distance based JITL-LSTM soft sensor for multiphase batch processes
10.1109/access.2021.3079184 · 2021 · External reference
Improvement of measurement accuracy of infrared moisture meter by considering the impact of moisture inside optical components
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Review of portable near-infrared spectrometers: current status and new techniques
10.1177/09670335211030617 · 2022 · External reference
Classification of multiple cancer types by combination of plasma-based near-infrared spectroscopy analysis and machine learning modeling
10.1016/j.ab.2023.115120 · 2023 · External reference
Discrimination of new and aged seeds based on On-Line near-infrared spectroscopy technology combined with machine learning
10.3390/foods13101570 · 2024 · External reference
