A review on recent near infrared spectroscopic measurement setups and their challenges

Fan, Hong; Chia, Kim Seng

doi:10.1016/j.measurement.2020.108732

Cited by 17 publications

(13 citation statements)

References 130 publications

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“…The calibration model is the correlation between the NIR absorbance and vitamin C. The best calibration model was determined from the R 2 and the RPD values [15], [36]. In predicting vitamin C, all built models have achieved acceptable results, with the R 2 values of all models higher than 0.80 [37].…”

Section: E Regression Model For Predicting Vitamin Cmentioning

confidence: 99%

“…The chemical information of most food material samples tested with the NIR is blurred by a change in the spectrum caused by a physical characteristic, for example, the size of the material particle. Therefore, the NIR is a secondary method that needs calibration against the reference method to measure certain substances [15]. A secondary analysis method means a method in need of calibration from the reference method.…”

Section: Introductionmentioning

confidence: 99%

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Determination of Total Carotene and Vitamin C in Chili Powder (Capsicum annuum L.) Non-destructively Using Near-Infrared Spectroscopy

Khuriyati¹,

Sukartiko²,

Falah³

et al. 2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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Chili (Capsicum annuum L.) is an important source of total carotene and vitamin C. Both substances are widely used in food processing materials, supporting a healthy immune system and medicine. However, destructive testing often obtains information about the substances, which damages the tested material and requires a relatively long analysis. Therefore, this research aims to develop calibration models of total carotene and vitamin C in chili powder for non-destructive testing using near-infrared spectroscopy. The samples consist of four groups of color, i.e., light green, dark green, red tinge, and red, with a total of 84 samples. Seventy percent of the sample was used for calibration, while the rest of the sample was used for validation. Spectra were measured using the NIRFlex N-500 instrument at a wavelength of 1000 nm to 2500 nm and analyzed with the partial least square (PLS) method using three spectral pre-treatments, which are multiplicative scatter correction (MSC), first derivative savitzky-golay, and de-trending. The accuracy and model reliability was determined by the coefficient of determination (R 2 ) and the residual predictive deviation (RPD). The best calibration models were successfully obtained when the spectrum was processed using the first derivative savitzky-golay pre-treatment with 6 and 5 PLS factors for vitamin C and total carotene, respectively. Both models were accurate and can be potentially used for determining the total carotene and vitamin C in chili powder samples non-destructively.

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Section: E Regression Model For Predicting Vitamin Cmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Determination of Total Carotene and Vitamin C in Chili Powder (Capsicum annuum L.) Non-destructively Using Near-Infrared Spectroscopy

Khuriyati¹,

Sukartiko²,

Falah³

et al. 2023

Int. J. Adv. Sci. Eng. Inf. Technol.

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“…C-H, N-H, C = O, that are able to absorb NIR energy [2]. In order to acquire high-quality NIR spectra from the examined samples, selecting the appropriate measurement setup is compulsory as the spectra are affected by the setup [3]. Usually, the selection of the setup is determined by the physical state of the samples, e.g.…”

Section: Introductionmentioning

confidence: 99%

“…Usually, the selection of the setup is determined by the physical state of the samples, e.g. reflection is preferable for solid samples [3]. In earlier studies of NIR electromagnetic radiation, there was a long delay between the year it was discovered until it found the first analytical application [4].…”

Section: Introductionmentioning

confidence: 99%

Transferring Near Infrared Spectroscopic Calibration Model Across Different Harvested Seasons Using Joint Distribution Adaptation

Suarin¹,

Chia²

2022

Lecture Notes in Electrical Engineering

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“…As such, this methodology is capable of quantifying multiple analytes from a single spectrum. Near-infrared spectroscopic sensing is a well-established analytical methodology capable of robust operation. − …”

Section: Introductionmentioning

confidence: 99%

Selectivity and Sensitivity of Near-Infrared Spectroscopic Sensing of β-Hydroxybutyrate, Glucose, and Urea in Ternary Aqueous Solutions

Arnold

2021

Anal. Chem.

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The next-generation artificial pancreas is under development with the goal to enhance tight glycemic control for people with type 1 diabetes. Such technology requires the integration of a chemical sensing unit combined with an insulin infusion device controlled by an algorithm capable of autonomous operation. The potential of near-infrared spectroscopic sensing to serve as the chemical sensing unit is explored by demonstrating the ability to quantify multiple metabolic biomarkers from a single near-infrared spectrum. Independent measurements of β-hydroxybutyrate, glucose, and urea are presented based on analysis of nearinfrared spectra collected over the combination spectral range of 5000−4000 cm −1 for a set of 50 ternary aqueous standard solutions. Spectra are characterized by a 1 μAU root-mean-square (RMS) noise for 100% lines with a resolution of 4 cm −1 and an optical path length of 1 mm. Calibration models created by the net analyte signal (NAS) and the partial least squares (PLS) methods provide selective measurements for each analyte with standard errors of prediction in the upper micromolar concentration range. The NAS method is used to determine both the selectivity and sensitivity for each analyte and their values are consistent with these standard errors of prediction. The NAS method is also used to characterize the background spectral variance associated with instrumental and environmental variations associated with buffer spectra collected over a multiday period.

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A review on recent near infrared spectroscopic measurement setups and their challenges

Cited by 17 publications

References 130 publications

Determination of Total Carotene and Vitamin C in Chili Powder (Capsicum annuum L.) Non-destructively Using Near-Infrared Spectroscopy

Determination of Total Carotene and Vitamin C in Chili Powder (Capsicum annuum L.) Non-destructively Using Near-Infrared Spectroscopy

Transferring Near Infrared Spectroscopic Calibration Model Across Different Harvested Seasons Using Joint Distribution Adaptation

Selectivity and Sensitivity of Near-Infrared Spectroscopic Sensing of β-Hydroxybutyrate, Glucose, and Urea in Ternary Aqueous Solutions

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