The Classification of Ground Roasted Decaffeinated Coffee Using UV-VIS Spectroscopy and SIMCA Method

Self Cite

The price of stingless bee (Heterotrigona itama) honey is almost twice higher than the one produced by a non-stingless bee (Apis mellifera) due to its limited production and high content of polyphenol and flavonoids compounds. However, in the market, the authentication of stingless bees and non-stingless bees honey becomes difficult due to the similarity in the color of honey and its sugar content. In this research, we propose a simple analytical approach by combining ultraviolet (UV) spectroscopy and hierarchical cluster analysis (HCA) for discrimination between stingless and non-stingless bee honey. Fifty samples of monofloral stingless bee (Heterotrigona itama) honey and non-stingless bee (Apis mellifera) honey from Acacia mangium was used. The samples were diluted with a distilled water at a proportion of 1:30 (volume/volume). The spectral data were acquired in the range of 190-1100 nm using a benchtop UV-Vis spectrometer with fast scanning mode. The HCA was applied for selected preprocessed spectral data in the range of 230-400 nm. The result shows that HCA could be effective to discriminate between stingless and non-stingless bee honey. Shortly, it is expected to realize the simple and quick analytical method to authenticate stingless bee honey based on UV spectroscopy and the HCA method.

Section: Introductionmentioning

confidence: 99%

Rapid authentication of stingless bees (Heterotrigona itama) honey by UV spectroscopy and hierarchical cluster analysis

Suhandy

Yulia

Kusumiyati

2022

Self Cite

“…NIR and discriminant partial least squares (DPLS) method had been used for the determination of Chinese honey adulterated with HFCS with 90%-95% of the correct classification rate [6]. Recently, Suhandy and Yulia used UV-vis and fluorescence spectroscopy to authenticate several Indonesian agricultural products such as honey [7][8], coffee [9][10], and tea [11]. The present study aimed to investigate the application of UV-vis spectroscopy and PCA to authenticate between the pure and adulterated Sumbawa honey.…”

Section: Introductionmentioning

confidence: 99%

Authentication of pure and adulterated Sumbawa monofloral honey using ultraviolet-visible spectroscopy

Suhandy

Kusumiyati

Kuncoro

et al. 2022

Self Cite

Sumbawa monofloral honey is one of the most expensive honeys in Indonesia. In this present study, ultraviolet-visible (UV-vis) spectroscopy was utilized to discriminate between authentic pure Sumbawa monofloral honey and its adulterated one. The adulterated honey samples were created by intentionally mixing pure authentic Sumbawa monofloral honey with high fructose corn syrup (HFCS) at a level of 10% (v/v). A total of 50 samples of pure and adulterated samples were prepared. The UV-vis spectral data of each sample were obtained by using a UV-vis spectrometer in the range of 190-1100 nm. The result of PCA (principal component analysis) using the first two PCs with the CEV (cumulative explained variance) of 93% shows that the pure and adulterated Sumbawa honey samples could be separated. All pure samples lied in the negative of PC1 (PC1<0) and all adulterated samples were in the positive of PC1 (PC1>0). In conclusion, this result suggested us the possible application of UV-vis spectroscopy for authentication of Sumbawa honey adulterated with HFCS in a simple and low-cost method.

“…Coffee authentication both for arabica and robusta coffee through UV spectroscopy has been well reported. Yulia et al [15] reported the promising application of UV spectroscopy and the SIMCA (soft independent modeling of class analogy) method for the classification of ground roasted decaffeinated coffee. UV spectroscopy and PLS-DA (partial least-squares discriminant analysis) method were demonstrated to be suitable for authentication of organic Lampung robusta ground roasted coffee [16].…”

Section: Introductionmentioning

confidence: 99%

UV spectroscopy for discrimination of two arabica coffee cultivars in West Java Indonesia: a feasibility study

Yulia

Ningtyas

Suharyatun

et al. 2022

Self Cite

Arabica coffee variety is one of the key parameters that highly influence the cup quality of arabica coffee. The objective of this current research is to evaluate the possible application of UV spectroscopy for the discrimination of arabica coffee with different cultivars. Green beans from two arabica coffee cultivars (Coffea arabica) of Typica and Sigarar Utang were collected from the same origin in Papandayan mountain West Java, Indonesia. The samples were subjected to the same postharvest treatments (wet cherry processing method). All samples were roasted in medium roasting with 200°C for 16 minutes using a portable roasting machine. A total of 40 samples of Typica and Sigarar Utang were provided by weighing 1 gram of coffee powder (mesh 40) for each sample. The extraction of coffee samples was performed based on previously reported work. The UV-visible spectral data of aqueous coffee samples were acquired by using a benchtop of UV-vis spectrometer in the range of 190-1100 nm. The first two PCs (principal components) with 94% of CEV (cumulative explained variance) could be used to separate between the Typica and Sigarar Utang samples. The Typica samples were situated on the left of PC1 (PC1<0) and Sigarar Utang samples were on the right of PC1 (PC1>0). In the future, it is promising to apply UV spectroscopy for simple and reliable discrimination of arabica coffee cultivar.