On-line application of near infrared (NIR) spectroscopy in food production
Abstract
Near infrared (NIR) spectroscopy represents an emerging analytical technique, which is enjoying increasing popularity in the food processing industry due to its low running costs, and since it does not require sample preparation. Moreover, it is a non-destructive, environmental friendly, rapid technique capable for on-line application. Therefore, this technique is predestined for implementation as an analytical tool in industrial processing. The different fields of application of NIR spectroscopy reported in the present review highlight its enormous versatility. Quantitative analyses of chemical constituents using this methodology are widespread. Moreover, a wide range of qualitative determinations, e.g. for authenticity control, sample discrimination, the assessment of sensory, rheological or technological properties, and physical attributes have been reported. Both animal- and plant-derived foodstuffs have been evaluated in this context. Highly diverse matrices such as intact solid samples, free-flowing solids, pasty, and fluid samples can by analysed by NIR spectroscopy. Sophisticated conditions for the application in industrial scale comprise among others measurements on moving conveyor belts, in continuous flows in tubes, and monitoring of fermentation processes. For such purposes, different construction designs of NIR spectrometers for hyperspectral imaging, portable devices, fibre optical and direct contact probes as well as tube integrated probes measuring through windows, and automated sample cell loading have been developed. In the present review, emphasis was put on studies dealing with on-line application of NIR spectroscopy for industrial processes in the food industry, which were categorised according to their application conditions into semi-industrial scale and industrial scale.
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Currently, there are few reviews of vibrational spectroscopy as it pertains to the microalgae industry, and these reviews do not take into account the technological progress and development of on-line/in-line vibrational spectroscopy implemented in bioprocess, pharmaceutical, and liquid and solid food industries.
“Currently, there are few reviews of vibrational spectroscopy as it pertains to the microalgae industry [9,17-19]; however, these reviews do not take into account the technological progress and development of on-line/in-line vibrational spectroscopy implemented in bioprocess, pharmaceutical, and liquid and solid food industries [20-28]”
From Microalgal process-monitoring based on high-selectivity spectroscopy tools: status and future perspectives (2018) · cites this paper as [24]
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- Authors
- Porep, J. U., Kammerer, D. R., & Carle, R.
- Affiliations
- University of Hohenheim (DE)
- Wala Heilmittel (Germany) (DE)
- Corresponding author
- Porep, Jan U.
- Venue
- Trends in Food Science & Technology
- Publisher
- Elsevier BV
- Published
- 2015-12
- Volume
- 46
- Issue
- 2
- Pages
- 211-230
- ISSN
- 0924-2244 (ISSN-L)
- OpenAlex
- W1779377117
- Cited by
- 611
- References
- 117
- Citations by year
- 2026: 40 · 2025: 59 · 2024: 79 · 2023: 70 · 2022: 69 · 2021: 74 · 2020: 69 · 2019: 63 · 2018: 45 · 2017: 25 · 2016: 17
- FWCI
- 22.56
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- Trends in Food Science & Technology (publishedVersion)
- Topics
- Physical Sciences › Chemistry › Analytical Chemistry › Spectroscopy and Chemometric Analyses
- Health Sciences › Medicine › Radiology, Nuclear Medicine and Imaging › Optical Imaging and Spectroscopy Techniques
- Life Sciences › Biochemistry, Genetics and Molecular Biology › Biophysics › Spectroscopy Techniques in Biomedical and Chemical Research
- Keywords
- near-infrared spectroscopy, real-time process monitoring, food processing, non-destructive analysis, hyperspectral imaging, fermentation monitoring, food authenticity, rheological properties, sensory properties
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Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
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