Provenance Establishment of Stingless Bee Honey Using Multi‐element Analysis in Combination with Chemometrics Techniques

Shadan, Aidil Fahmi; Mahat, Naji Arafat; Ibrahim, Wan Aini Wan; Ariffin, Zaiton; Ismail, Dzulkiflee

doi:10.1111/1556-4029.13512

Cited by 31 publications

(15 citation statements)

References 19 publications

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“…To date, no comprehensive study in Malaysia has been conducted to establish provenance of bee honeys according to their marker compounds especially from stingless bee species. To the best of our knowledge, only a study by Shadan et al [44] had documented the provenance establishment of stingless bee honey using multi-element analysis combined with chemometric techniques. Thus, our on-going study will further investigate the geographical origin of stingless bee honey samples specifically from Heterotrigona itama species collected from the four regions of Peninsular Malaysia.…”

Section: Resultsmentioning

confidence: 99%

“…A recent study in Malaysia by Shadan et al [44] exhibited the provenance of stingless bee honey collected from four different geographical regions of Johor, Malaysia (North, South, East and West) represented by five districts namely Segamat, Johor Bahru, Muar, Batu Pahat and Kota Tinggi. The collection period was during less rainy season in May, June and July.…”

Section: Fourier Transform-raman Spectroscopymentioning

confidence: 99%

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Untitled

2019

MJAS

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Global consumer demands for high quality genuine honey are increasing continuously. The ability to identify the geographical and botanical origins of honey would be of great importance to the improvement of quality control, as well as protection of reputation and confidence of the honey industry. The establishment of unique signatures of honey is one of the potential approaches for honey provenance. A great deal of literature has been published on honey authenticity and provenance. However, specific study focusing on the provenance of honey, especially those of the stingless bee species is lacking, especially in Malaysia. Consequently, this mini review is to highlight the presence of biomarkers in honeys for establishing their provenance via the application of spectroscopy and chemometric techniques.

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Section: Resultsmentioning

confidence: 99%

Section: Fourier Transform-raman Spectroscopymentioning

confidence: 99%

Untitled

2019

MJAS

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“…Studies have shown that stingless bee honey (SBH) contains antimicrobial activity against bacteria, yeast, and fungal strains [ 2 ]. Further, SBH is considered to be a premium product with a market value that may reach up to $100/kg, which is approximately twice the price of the honey of the Apis bee, which ranges from $20 to $40/kg [ 3 ]. In Malaysia, the SBH industry is expanding due to its potential and benefits.…”

Section: Introductionmentioning

confidence: 99%

Optimisation of Stingless Bee Honey Nanoemulsions Using Response Surface Methodology

Rozman

Hashim

Maringgal³

et al. 2021

Foods

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Nanoemulsions (NEs) have been used in a wide range of products, such as those produced by the food, cosmetics, and pharmaceutical industries, due to their stability and long shelf life. In the present study, stingless bee honey (SBH) NEs were formulated using SBH, oleic acid, tween 80, glycerol, and double-distilled water. SBH NEs were prepared using a high-pressure homogeniser and were characterised by observing their stability and droplet size. Fourier Transform-Infrared (FTIR) analysis was used to observe the functional groups of the SBH NEs after being subjected to high-pressure homogenisation. Transmission Electron Microscopy (TEM) images were then used to confirm the particle size of the SBH NEs and to investigate their morphology. The effects of the independent variables (percentage of oleic acid, storage time, and storage temperature) on the response variables (particle size and polydispersity index) were investigated using the response surface methodology, along with a three-level factorial design. The results showed that the models developed via the response surface methodology were reliable, with a coefficient of determination (R2) of more than 0.90. The experimental validation indicated an error of less than 10% in the actual results compared to the predicted results. The FTIR analysis showed that SBH NEs have the same functional group as SBH. Observation through TEM indicated that the SBH NEs had a similar particle size, which was between 10 and 100 nm. Thus, this study shows that SBH NEs can be developed using a high-pressure homogeniser, which indicates a new direction for SBH by-products.

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“…Chemometrics, as a method of data analysis, can objectively reflect the subtle differences among substances by establishing reasonable mathematical models [12, 13, 14, 15]. Hence, it is believed that the combination of infrared spectroscopy and chemometrics can be used to accurately distinguish and identify physical evidence.…”

Section: Introductionmentioning

confidence: 99%

A rapid and nondestructive approach for forensic identification of car bumper splinters using attenuated total reflectance Fourier transform infrared spectroscopy and chemometrics

Wei

Wang

2020

Journal of Forensic Sciences

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The proper identification of car bumper splinters at hit‐and‐run crime scenes is imperative to forensic investigations, as splinters yield crucial pieces of vehicle information that can lead to subsequent investigation resolution and criminal justice. A method based on attenuated total reflectance Fourier transform infrared spectroscopy (ATR‐FTIR) combined with Fisher discriminant analysis (FDA) and support vector machine (SVM) is reported to classify car bumper splinters. The FDA and SVM models were constructed based on full spectrum, fingerprint spectrum, and characteristic spectrum data from 156 car bumper splinter samples. The characteristic spectrum data were extracted by principal component analysis. The classification results for different types of data were compared, and the classification models were analyzed. In the FDA, the model based on the spectral data of the characteristic spectrum yielded the highest classification accuracy, and the classification accuracy based on 10 brands was 88.5%. For polypropylene type; polypropylene, talcum powder, and calcium carbonate type; and polypropylene and talcum powder type bumper samples, the classification accuracy rate reached 97.4%. The classification results were ideal for the SVM, for 10 brands and 3 types of samples, the classification accuracy of the model constructed based on both full spectrum and characteristic spectrum data reached 100%. The results suggest that the SVM model is superior to the FDA model. The SVM model is also suitable for the classification of high‐dimensional data. ATR‐FTIR combined with the chemometrics methods of FDA and SVM is a rapid, nondestructive, and accurate method for the differentiation of car bumper splinters.

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Provenance Establishment of Stingless Bee Honey Using Multi‐element Analysis in Combination with Chemometrics Techniques

Cited by 31 publications

References 19 publications

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Untitled

Optimisation of Stingless Bee Honey Nanoemulsions Using Response Surface Methodology

A rapid and nondestructive approach for forensic identification of car bumper splinters using attenuated total reflectance Fourier transform infrared spectroscopy and chemometrics

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