Performance of new low-cost handheld NIR spectrometers for nondestructive analysis of umbu (Spondias tuberosa Arruda) quality

Marques, Emanuel José Nascimento; Freitas, Sérgio Tonetto de

doi:10.1016/j.foodchem.2020.126820

Cited by 10 publications

(4 citation statements)

References 26 publications

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“…Sun et al., 2020; L. Yang et al., 2018). The cost varies from ∼$300‐5000 US for some NIR tech up to ∼$15,000 US for portable Raman and even >$100,000 US for portable terahertz devices (Marques & de Freitas, 2020; Optics, n.d. ; SCIO, n.d.…”

Section: Future Technology To Improve In the Field Detection With Bio...mentioning

confidence: 99%

“…Yang et al, 2018). The cost varies from ∼$300-5000 US for some NIR tech up to ∼$15,000 US for portable Raman and even >$100,000 US for portable terahertz devices (Marques & de Freitas, 2020;Optics, n.d.;SCIO, n.d.;Store, n.d.). A summary of the main applications and performance of these technologies from these reviews is provided in Table 5.…”

Section: Hand-held Spectroscopymentioning

confidence: 99%

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Biomarkers and biosensors for the diagnosis of noncompliant pH, dark cutting beef predisposition, and welfare in cattle

Nelis

Bose

Broadbent

et al. 2022

Comp Rev Food Sci Food Safe

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Meat quality can be affected by stress, exhaustion, feed composition, and other physical and environmental conditions. These stressors can alter the pH in postmortem muscle, leading to high pH and low‐quality dark cutting (DC) beef, resulting in considerable economic loss. Moreover, the dark cutting prediction may equally provide a measure for animal welfare since it is directly related to animal stress. There are two needs to advance on‐site detection of dark cutters: (1) a clear indication that biomarker (signature compounds) levels in cattle correlate with stress and DC outcome; and (2) measuring these biomarkers rapidly and accurately on‐farm or the abattoir, depending on the objectives. This critical review assesses which small molecules and proteins have been identified as potential biomarkers of stress and dark cutting in cattle. We discuss the potential of promising small molecule biomarkers, including catecholamine/cortisol metabolites, lactate, succinate, inosine, glucose, and β‐hydroxybutyrate, and we identify a clear research gap for proteomic biomarker discovery in live cattle. We also explore the potential of chemical‐sensing and biosensing technologies, including direct electrochemical detection improved through nanotechnology (e.g., carbon and gold nanostructures), surface‐enhanced Raman spectroscopy in combination with chemometrics, and commercial hand‐held devices for small molecule detection. No current strategy exists to rapidly detect predictive meat quality biomarkers due to the need to further validate biomarkers and the fact that different biosensor types are needed to optimally detect different molecules. Nonetheless, several biomarker/biosensor combinations reported herein show excellent potential to enable the measurement of DC potential in live cattle.

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Section: Future Technology To Improve In the Field Detection With Bio...mentioning

confidence: 99%

Section: Hand-held Spectroscopymentioning

confidence: 99%

Biomarkers and biosensors for the diagnosis of noncompliant pH, dark cutting beef predisposition, and welfare in cattle

Nelis

Bose

Broadbent

et al. 2022

Comp Rev Food Sci Food Safe

View full text Add to dashboard Cite

show abstract

“…Optical methods (e.g., near-infrared spectroscopy) offer the added advantage of non-contact and non-destructive measurements at prediction errors of less than a single degree Brix (Table 5). Portable NIR spectrometers are available but their costs still run between $300 and $5000 USD [70]. This is substantially more than low-cost refractometers and hydrometers which offer similar resolution and accuracy in estimating total soluble solids content and total sugar content.…”

Section: Opportunities For Chemical Sensors In Farm-to-table Operationsmentioning

confidence: 99%

Chemical Sensors for Farm-to-Table Monitoring of Fruit Quality

Wilson

2021

Sensors

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Farm-to-table operations produce, transport, and deliver produce to consumers in very different ways than conventional, corporate-scale agriculture operations. As a result, the time it takes to get a freshly picked fruit to the consumer is relatively short and the expectations of the consumer for freshness and quality are high. Since many of these operations involve small farms and small businesses, resources to deploy sensors and instruments for monitoring quality are scarce compared to larger operations. Within stringent power, cost, and size constraints, this article analyzes chemical sensor technologies suitable for monitoring fruit quality from the point of harvest to consumption in farm-to-table operations. Approaches to measuring sweetness (sugar content), acidity (pH), and ethylene gas are emphasized. Not surprisingly, many instruments developed for laboratory use or larger-scale operations are not suitable for farm-to-table operations. However, there are many opportunities still available to adapt pH, sugar, and ethylene sensing to the unique needs of localized farm-to-table operations that can help these operations survive and expand well into the future.

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“…Pu et al [ 14 ] reviewed recent advances in portable and handheld NIR spectrometers and applications in milk, cheese, and dairy powders. Marques et al [ 15 ] investigated the performance of handheld NIR spectrometers for the nondestructive analysis of umbu fruit quality. Other companies that offer NIR scanners are: StellarNet Inc. [ 16 ], Solid Scanner [ 17 ], and GoyaLab [ 18 ].…”

Section: Introductionmentioning

confidence: 99%

OpenVNT: An Open Platform for VIS-NIR Technology

Kulko

Pletl

Mempel

et al. 2023

Sensors

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Spectrometers measure diffuse reflectance and create a “molecular fingerprint” of the material under investigation. Ruggedized, small scale devices for “in-field” use cases exist. Such devices might for example be used by companies in the food supply chain for inward inspection of goods. However, their application for the industrial Internet of Things workflows or scientific research is limited due to their proprietary nature. We propose an open platform for visible and near-infrared technology (OpenVNT), an open platform for capturing, transmitting, and analysing spectral measurements. It is built for use in the field, as it is battery-powered and transmits data wireless. To achieve high accuracy, the OpenVNT instrument contains two spectrometers covering a wavelength range of 400–1700 nm. We conducted a study on white grapes to compare the performance of the OpenVNT instrument against the Felix Instruments F750, an established commercial instrument. Using a refractometer as ground truth, we built and validated models to estimate the Brix value. As a quality measure, we used coefficient of determination of the cross-validation (R2CV) between the instrument estimation and ground truth. With 0.94 for the OpenVNT and 0.97 for the F750, a comparable R2CV was achieved for both instruments. OpenVNT matches the performance of commercially available instruments at one tenth of the price. We provide an open bill of materials, building instructions, firmware, and analysis software to enable research and industrial IOT solutions without the limitations of walled garden platforms.

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Performance of new low-cost handheld NIR spectrometers for nondestructive analysis of umbu (Spondias tuberosa Arruda) quality

Cited by 10 publications

References 26 publications

Biomarkers and biosensors for the diagnosis of noncompliant pH, dark cutting beef predisposition, and welfare in cattle

Biomarkers and biosensors for the diagnosis of noncompliant pH, dark cutting beef predisposition, and welfare in cattle

Chemical Sensors for Farm-to-Table Monitoring of Fruit Quality

OpenVNT: An Open Platform for VIS-NIR Technology

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