Analytical Chemistry Strategies in the Use of Miniaturised NIR Instruments: An Overview

Giussani, Barbara; Gorla, Giulia; Riu, Jordi

doi:10.1080/10408347.2022.2047607

Cited by 23 publications

(21 citation statements)

References 227 publications

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“…For instance, considering food samples, different coffee samples were successfully classified (sensitivities and specificities ranging from 0.84 to 1 for the test set) [ 26 ], adulterated and non-adulterated paprika samples were discriminated with specificity greater than 0.9 [ 27 ], different types of ground and sieved teas were classified with accuracies of 86% [ 28 ] and 65% [ 29 ], and pure and adulterated wheat flours were distinguished with specificity and sensitivity of 1 [ 30 ]. More details can be found in very recently published reviews on the field ([ 10 , 31 ]).…”

Section: Resultsmentioning

confidence: 99%

“…The choice of miniaturized NIR spectroscopy arises from several considerations, since this technology has proved its suitability in many applications, and has solved analytical problems relevant to food analysis [ 10 , 11 , 12 , 13 ].…”

Section: Introductionmentioning

confidence: 99%

“…Most currently available NIR miniaturized sensors are not designed to analyze powder samples [ 10 ], and the first step of this investigation was therefore the optimization of the analytical strategy, including the design and fabrication (using a 3D printer) of a specific homemade cell for the measurements. Once the method of analysis was optimized from the technological point of view, there was another factor that has been considered: particle size.…”

Section: Introductionmentioning

confidence: 99%

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Exploring the Analytical Complexities in Insect Powder Analysis Using Miniaturized NIR Spectroscopy

Riu

Vega

Boqué

et al. 2022

Foods

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Insects have been a food source for humans for millennia, and they are actively consumed in various parts of the world. This paper aims to ascertain the feasibility of portable near-infrared (NIR) spectroscopy as a reliable and fast candidate for the classification of insect powder samples and the prediction of their major components. Commercially-available insect powder samples were analyzed using two miniaturized NIR instruments. The samples were analyzed as they are and after grinding, to study the effect of the granulometry on the spectroscopic analyses. A homemade sample holder was designed and optimized for making reliable spectroscopic measurements. Classification was then performed using three classification strategies, and partial least squares (PLS) regression was used to predict the macronutrients. The results obtained confirmed that both spectroscopic sensors were able to classify insect powder samples and predict macronutrients with an adequate detection limit.

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Section: Resultsmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Exploring the Analytical Complexities in Insect Powder Analysis Using Miniaturized NIR Spectroscopy

Riu

Vega

Boqué

et al. 2022

Foods

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“…An additional significance of the miniaturised visible and NIR spectrometers is that they are, even in combination, much cheaper than the full-range portable instrument (Table 2). Because they are cost-effective, compact, and lightweight, they are being used in many diverse applications (Giussani et al, 2022;Pu et al, 2021).…”

Section: Miniaturised Soil Spectroscopy Can Support Soil Rehabilitationmentioning

confidence: 99%

Miniaturised visible and near-infrared spectrometers for assessing soil health indicators in mine site rehabilitation

Shen

D’Agui

Walden

et al. 2022

SOIL

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Abstract. Mining can cause severe disturbances to the soil, which underpins the viability of terrestrial ecosystems. Post-mining rehabilitation relies on measuring soil properties that are critical indicators of soil health. Soil visible–near-infrared (vis–NIR) spectroscopy is rapid, accurate, and cost-effective for estimating a range of soil properties. Recent advances in infrared detectors and microelectromechanical systems (MEMSs) have produced miniaturised, relatively inexpensive spectrometers. Here, we evaluate the spectra from four miniaturised visible and NIR spectrometers, some combinations, and a full-range vis–NIR spectrometer for modelling 29 soil physical, chemical, and biological properties used to assess soil health at mine sites. We collected topsoil samples from reference, undisturbed native vegetation, and stockpiles from seven mines in Western Australia. We evaluated the spectrometers' repeatability and the accuracy of spectroscopic models built with seven statistical and machine learning algorithms. The spectra from the visible spectrometer could estimate sand, silt, and clay with similar or better accuracy than the NIR spectrometers. However, the spectra from the NIR spectrometers produced better estimates of soil chemical and biological properties. By combining the miniaturised visible and NIR spectrometers, we improved the accuracy of their soil property estimates, which were similar to those from the full-range spectrometer. The miniaturised spectrometers and combinations predicted 24 of the 29 soil properties with moderate or greater accuracy (Lin's concordance correlation, ρc≥0.65). The repeatability of the NIR spectrometers was similar to that of the full-range, portable spectrometer. The miniaturised NIR spectrometers produced comparably accurate soil property estimates to the full-range portable system which is an order of magnitude more expensive, particularly when combined with the visible range sensor. Thus, the miniaturised spectrometers could form the basis for a rapid, cost-effective soil diagnostic capacity to support mine site rehabilitation and deliver significant positive economic and environmental outcomes.

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“…In recent years, on‐site drug detection by portable spectroscopic techniques such as Raman, 7,8 Fourier transform infrared (FTIR), 9 and near‐infrared (NIR) became readily accessible and were also used for casework analysis in the forensic field 10,11 . NIR is a powerful noninvasive technique for fast and efficient substance detection due to the availability of small size instrumentation (handheld, pocket size, smartphone sensor 12 ) at relatively low cost 13,14 . Recent applications of NIR detection in the forensic drug testing field include the detection of cocaine, 15–19 “legal high” designer drugs, 20 ketamine, heroin, and methamphetamine 15 .…”

Section: Introductionmentioning

confidence: 99%

On‐site forensic analysis of colored seized materials: Detection of brown heroin and MDMA‐tablets by a portable NIR spectrometer

Kranenburg

Ramaker²,

Asten³

2022

Drug Testing and Analysis

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The increasing workload for forensic laboratories and the expanding complexity of the drug market necessitates efficient approaches to detect drugs of abuse. Identification directly at the scene of crime enables investigative forces to make rapid decisions. Additionally, on‐site identification of the material also leads to considerable efficiency and cost benefits. As such, paperwork, transportation, and time‐consuming analysis in a laboratory may be avoided. Near‐infrared (NIR) spectroscopy is an analysis technique suitable for rapid drug testing using portable equipment. A possible limitation of spectroscopic analysis concerns the complexity of seized materials. NIR measurements represent composite spectra for mixtures and diagnostic spectral features can be obscured by excipients such as colorants. Herein, a NIR‐based (1300–2600 nm) detection of heroin and MDMA in colored casework (i.e., brown powders and ecstasy tablets) using a portable analyzer is presented. The application includes a multistage data analysis model based on the net analyte signal (NAS) approach. This identification model was specifically designed for mixture analysis and requires a limited set of pure reference spectra only. Consequently, model calibration efforts are reduced to a minimum. A total of 549 forensic samples was tested comprising brown heroine samples and a variety of colored tablets with different active ingredients. This investigation led to a >99% true negative and >93% true positive rate for heroin and MDMA. These results show that accurate on‐site detection in colored casework is possible using NIR spectroscopy combined with an efficient data analysis model. These findings may eventually help in the transition of routine forensic laboratories from laboratory‐based techniques to portable equipment operated on scene.

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Analytical Chemistry Strategies in the Use of Miniaturised NIR Instruments: An Overview

Cited by 23 publications

References 227 publications

Exploring the Analytical Complexities in Insect Powder Analysis Using Miniaturized NIR Spectroscopy

Exploring the Analytical Complexities in Insect Powder Analysis Using Miniaturized NIR Spectroscopy

Miniaturised visible and near-infrared spectrometers for assessing soil health indicators in mine site rehabilitation

On‐site forensic analysis of colored seized materials: Detection of brown heroin and MDMA‐tablets by a portable NIR spectrometer

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