Temperature compensation for determination of moisture and reducing sugar of longan honey by near infrared spectroscopy

Thamasopinkul, Chalermpun; Ritthiruangdej, Pitiporn; Kasemsumran, Sumaporn; Suwonsichon, Thongchai; Haruthaithanasan, Vichai; Ozaki, Yukihiro

doi:10.1177/0967033516685549

Cited by 19 publications

(20 citation statements)

References 29 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The popular GI model involves incorporating in the calibration sample data collected at numerous temperatures, covering the expected range for the application 12,16,25–27 . This typically results in a more complex model due to the increase in the number of latent variables needed to describe these additional variances.…”

Section: Temperature Compensation Methodsmentioning

confidence: 99%

Evaluation of temperature compensation methods for a near‐infrared calibration to predict the viscosity of micellar liquids

Haroon

Arafeh

Rodgers

et al. 2020

Journal of Chemometrics

View full text Add to dashboard Cite

Near‐infrared (NIR) spectroscopy is a popular technique for the measurement of chemical and physical properties in‐line using predictive models. The success of these models in industrial settings, in terms of accuracy and precision, often relies on the removal or avoidance of non‐linear spectral changes associated with fluctuating process parameters like temperature. In this work, a NIR calibration model developed to predict the viscosity of micellar liquids in‐line is used to evaluate various methods designed to account for temperature fluctuations. The viscosity of these liquids can vary on average by ±0.5 Pa s with a 1° change in temperature. The methods trialled include global linear techniques, a multivariate filter (generalised least squares weighting [GLSW]) and direct standardisation. The performances of these techniques were compared against one another based on root mean square error of prediction (RMSEP), prediction bias and rank. The best method was found to be GLSW, which was the least complex (five latent variables) and showed the lowest RMSEP (0.429 Pa s). This study provides insight into the use of recognised methods to remove temperature‐induced spectral variation in a PLS model developed to predict viscosity, where both NIR spectra and the property of viscosity itself are sensitive to temperature.

show abstract

Section: Temperature Compensation Methodsmentioning

confidence: 99%

Evaluation of temperature compensation methods for a near‐infrared calibration to predict the viscosity of micellar liquids

Haroon

Arafeh

Rodgers

et al. 2020

Journal of Chemometrics

View full text Add to dashboard Cite

show abstract

“…That is, before PLS calculation the SNV transformation centered each spectrum and then scales it by its own standard deviation, correcting shifts in the y-axis. 13 The PLS regression method was used to develop calibration equations. In PLS, the NIR spectral residuals at each wavelength, obtained after each factor has been calculated, were standardized (dividing by the standard deviations of the residuals at each wavelength) before calculating the next factor.…”

Section: Statistical Analysesmentioning

confidence: 99%

“…19 The NIR technique has been applied in a wide range of fields in the last decades, and several of these applications are currently used for routine analyses, even in online monitoring systems. 13,20,21 It is well discussed in the literature that the water content of honey is the most important parameter for the assessment of ripeness and shelf life. In this sense, honey with a moisture content higher than 18 g/100 g can be spoiled by fermentation.…”

Section: Introductionmentioning

confidence: 99%

A chemometric approach for moisture control in stingless bee honey using near infrared spectroscopy

Ávila

Hornung

Teixeira

et al. 2018

Journal of Near Infrared Spectroscopy

View full text Add to dashboard Cite

Honey is a product that is often adulterated by the addition of water. Stingless bee honey naturally has a higher moisture content than that produced by the traditional Apis mellifera. In most countries, there is a lack of quality standards and methods to characterise and assure the authenticity of stingless bee honey, which demands for the development of fast methods to assess its main properties, avoiding potential fraud. Thus, this work aimed to develop a non-destructive moisture determination method for stingless bee honey based on diffuse reflectance near infrared spectroscopy combined with chemometrics. Thirty-two honey samples from four stingless bee species (Melipona quadrifasciata, Melipona marginata, Melipona bicolor and Scaptotrigona bipuncata) were used to develop calibration models using partial least squares regression analyses. Results revealed intense absorption bands in C-H, O-H and CO vibrations in the spectra of stingless bee honey. The calibration model was used to predict the moisture content in honey from an external group. The prediction of the honey's moisture showed good correlation (r 2 ¼ 0.93) with the refraction index method and an average error of 2.14%. The statistics variables for the calibration (R 2 ¼ 0.947, SEP ¼ 1.005 and RPD ¼ 4.3) revealed that this model can be used to predict the moisture from stingless bee honey and that near infrared spectroscopy is a reliable tool to be applied in quality control with rapid, simple and accurate results.

show abstract

“…Near-infrared spectroscopy is a speedy, simple, and non-destructive method that requires no chemical reagents and allows several analytes to be detected simultaneously [11]. This method has been widely used in the field of honey quality detection, such as with respect to 5-hydroxymethyl furfural [12], variety discrimination [13], honey adulteration [14,15], moisture, and reducing sugar content [16]. Nevertheless, to date, attempts to attain fast and nondestructive prediction of diastase activity have not been successful.…”

Section: Introductionmentioning

confidence: 99%

Nondestructive Determination of Diastase Activity of Honey Based on Visible and Near-Infrared Spectroscopy

Huang

et al. 2019

Molecules

View full text Add to dashboard Cite

The activities of enzymes are the basis of evaluating the quality of honey. Beekeepers usually use concentrators to process natural honey into concentrated honey by concentrating it under high temperatures. Active enzymes are very sensitive to high temperatures and will lose their activity when they exceed a certain temperature. The objective of this work is to study the kinetic mechanism of the temperature effect on diastase activity and to develop a nondestructive approach for quick determination of the diastase activity of honey through a heating process based on visible and near-infrared (Vis/NIR) spectroscopy. A total of 110 samples, including three species of botanical origin, were used for this study. To explore the kinetic mechanism of diastase activity under high temperatures, the honey of three kinds of botanical origins were processed with thermal treatment to obtain a variety of diastase activity. Diastase activity represented with diastase number (DN) was measured according to the national standard method. The results showed that the diastase activity decreased with the increase of temperature and heating time, and the sensitivity of acacia and longan to temperature was higher than linen. The optimum temperature for production and processing is 60 °C. Unsupervised clustering analysis was adopted to detect spectral characteristics of these honeys, indicating that different botanical origins of honeys can be distinguished in principal component spaces. Partial least squares (PLS) and least squares-support vector machine (LS-SVM) algorithms were applied to develop quantitative relationships between Vis/NIR spectroscopy and diastase activity. The best result was obtained through Gaussian filter smoothing-standard normal variate (GF-SNV) pretreatment and the LS-SVM model, known as GF-SNV-LS-SVM, with a determination coefficient (R2) of prediction of 0.8872, and root mean square error (RMSE) of prediction of 0.2129. The overall results of this paper showed that the diastase activity of honey can be determined quickly and non-destructively with Vis/NIR spectral methods, which can be used to detect DN in the process of honey production and processing, and to maximize the nutrient content of honey.

show abstract

Temperature compensation for determination of moisture and reducing sugar of longan honey by near infrared spectroscopy

Cited by 19 publications

References 29 publications

Evaluation of temperature compensation methods for a near‐infrared calibration to predict the viscosity of micellar liquids

Evaluation of temperature compensation methods for a near‐infrared calibration to predict the viscosity of micellar liquids

A chemometric approach for moisture control in stingless bee honey using near infrared spectroscopy

Nondestructive Determination of Diastase Activity of Honey Based on Visible and Near-Infrared Spectroscopy

Contact Info

Product

Resources

About