Influence of measurement procedure on the use of a handheld NIR spectrophotometer

Bertinetto, Carlo; Schoot, Mark; Dingemans, Martijn; Meeuwsen, Wouter; Buydens, L.M.C.; Jansen, Jeroen J.

doi:10.1016/j.foodres.2022.111836

Cited by 9 publications

(10 citation statements)

References 28 publications

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“… Bertinetto et al (2022) investigated the influence of unexpert operator actions in the interpretation of spectra of pig feed.…”

Section: Portable Nir Spectrometersmentioning

confidence: 99%

Portable NIR spectroscopy: the route to green analytical chemistry

Gullifa,

Barone,

Papa

et al. 2023

Front. Chem.

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There is a growing interest for cost-effective and nondestructive analytical techniques in both research and application fields. The growing approach by near-infrared spectroscopy (NIRs) pushes to develop handheld devices devoted to be easily applied for in situ determinations. Consequently, portable NIR spectrometers actually result definitively recognized as powerful instruments, able to perform nondestructive, online, or in situ analyses, and useful tools characterized by increasingly smaller size, lower cost, higher robustness, easy-to-use by operator, portable and with ergonomic profile. Chemometrics play a fundamental role to obtain useful and meaningful results from NIR spectra. In this review, portable NIRs applications, published in the period 2019–2022, have been selected to indicate starting references. These publications have been chosen among the many examples of the most recent applications to demonstrate the potential of this analytical approach which, not having the need for extraction processes or any other pre-treatment of the sample under examination, can be considered the “true green analytical chemistry” which allows the analysis where the sample to be characterized is located. In the case of industrial processes or plant or animal samples, it is even possible to follow the variation or evolution of fundamental parameters over time. Publications of specific applications in this field continuously appear in the literature, often in unfamiliar journal or in dedicated special issues. This review aims to give starting references, sometimes not easy to be found.

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“… Bertinetto et al (2022) investigated the influence of unexpert operator actions in the interpretation of spectra of pig feed.…”

Section: Portable Nir Spectrometersmentioning

confidence: 99%

Portable NIR spectroscopy: the route to green analytical chemistry

Gullifa,

Barone,

Papa

et al. 2023

Front. Chem.

View full text Add to dashboard Cite

show abstract

“…It is well known that depending on the sample presentation or preparation, the NIR spectra can differ [18][19][20][21][22]. Consequently, during the development of an NIR application, care should be taken to ensure that the sample presentation is repeatable between measurements as well as reproducible over time [18][19][20][21][22][23]. Variations in sample presentation to the instrument can introduce unnecessary variability in the spectra collected [18][19][20][21][22][23].…”

Section: Introductionmentioning

confidence: 99%

“…Consequently, during the development of an NIR application, care should be taken to ensure that the sample presentation is repeatable between measurements as well as reproducible over time [18][19][20][21][22][23]. Variations in sample presentation to the instrument can introduce unnecessary variability in the spectra collected [18][19][20][21][22][23]. This variability can be one source of error during the development of either quantitative calibrations or classification models [23][24][25].…”

Section: Introductionmentioning

confidence: 99%

“…Variations in sample presentation to the instrument can introduce unnecessary variability in the spectra collected [18][19][20][21][22][23]. This variability can be one source of error during the development of either quantitative calibrations or classification models [23][24][25]. For example, it has been described that in the case of powder samples, presentation has an important effect.…”

Section: Introductionmentioning

confidence: 99%

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Effect of Sample Presentation on the Classification of Black Soldier Fly Larvae Using Near-Infrared Spectroscopy

Sanchez,

Alagappan,

Hoffman

et al. 2024

Applied Sciences

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Black soldier fly larvae (BSFL) (Hermetia illucens) reared on food waste streams are considered a sustainable source of protein in feed livestock diets. Recently, portable near-infrared spectroscopy (NIR) instruments have been assessed to monitor the consistency and quality of food waste streams used to feed black soldier fly larvae. During the application of NIR spectroscopy, sample presentation (e.g., drying, processing, particle size) plays an important role in the accuracy of the models developed (quantitative or qualitative analysis). The objective of this study was to evaluate the effect of sample presentation (number of larvae used during the scanning of BSFL) on the accuracy of classification models developed to trace the food waste stream (e.g., supermarket of childcare) used to feed the larvae. BSFL samples were sourced from two waste streams and scanned as half, 1, 2, or 3 larvae using an NIR portable instrument (MicroNIR, Viavi, Milpitas, California, USA). Principal component analysis (PCA) and linear discriminant analysis (LDA) were used to analyze the NIR data and to classify the samples according to the waste stream. The main differences in the NIR spectra of the BSFL samples associated with the number of larvae scanned were observed around 1200 nm, mainly associated with the C-H overtones (lipids). The classification results showed that high classification rates (>93%) were obtained regardless of the number of larvae scanned, ranging from 93% (using 0.5 larvae) to 100% (using 1, 2, or 3 larvae samples). Overall, the number of larvae scanned had minimal to no effect on the accuracy of the LDA classification models. The present study demonstrated that a portable NIR instrument can be suitable for an initial rapid classification or determination of the origin of the waste stream used to feed the BSFL.

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“…According to the European Pharmacopoeia, 27 the different factors affecting the spectral response are (i) the environment's temperature and humidity, (ii) sample presentation area, (iii) sample temperature, (iv) moisture and solvent residues, (v) sample thickness, (vi) sample optical properties, (vii) solid-state forms, and (viii) the sample shelf life. [28][29][30][31][32] When working in transmission mode on solubilized samples, only factors (i) and (iii) remain. 24 While these factors may be well controlled in a laboratory during the development of the regression model, one must keep in mind that the models will be used in various locations with possibly different environmental conditions (e.g., tropical conditions) that may affect the spectral response.…”

Section: Introductionmentioning

confidence: 99%

In-Field Implementation of Near-Infrared Quantitative Methods for Analysis of Medicines in Tropical Environments

Waffo Tchounga,

Marini,

Nnanga Nga

et al. 2023

Appl Spectrosc

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Near-infrared (NIR) spectroscopy is actually a well-established technique that demonstrates its performance in the frame of detection of poor-quality medicines. The use of low-cost handheld NIR spectrophotometers in low-resource contexts can allow an inexpensive and more rapid detection compared to laboratory methods. Considering these points, it was decided to develop, validate, and transfer methods for the quantification of ciprofloxacin and metronidazole tablet samples using a NIR handheld spectrophotometer in transmission mode (NIR-M-T1) coupled to chemometrics such as partial least squares regression (PLSR) algorithm. All of the models were validated with the total error approach using an accuracy profile as a decision tool, with ±10% specifications and a risk α set at 5%. Quantitative PLSR models were first validated in Belgium, which is a temperate oceanic climate zone. Second, they were transferred to Cameroon, a tropical climate zone, where issues regarding the prediction of new validation series with the initial models were highlighted. Two augmentation strategies were then envisaged to make the predictive models robust to environmental conditions, incorporating the potential variability linked to environmental effects in the initial calibration sets. The resulting models were then used for in-field analysis of ciprofloxacin and metronidazole tablet samples collected in three cities in Cameroon. The contents results obtained for each sample with the two strategies were close and not statistically different. Nevertheless, the first one is easier to implement and the second is the best regarding model diagnostic measures and accuracy profiles. Two samples were found to be noncompliant in terms of content, and these results were confirmed using high-performance liquid chromatography taken as the reference method.

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Influence of measurement procedure on the use of a handheld NIR spectrophotometer

Cited by 9 publications

References 28 publications

Portable NIR spectroscopy: the route to green analytical chemistry

Portable NIR spectroscopy: the route to green analytical chemistry

Effect of Sample Presentation on the Classification of Black Soldier Fly Larvae Using Near-Infrared Spectroscopy

In-Field Implementation of Near-Infrared Quantitative Methods for Analysis of Medicines in Tropical Environments

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