Identification of fresh and expired ground roasted robusta coffee using UV-visible spectroscopy and chemometrics

Yulia, Meinilwita; Suhandy, Diding

doi:10.1051/matecconf/201819709003

Cited by 19 publications

(7 citation statements)

References 20 publications

(22 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Those wavelengths are associated with the absorbance of several important chemical compounds in ground roasted coffee [36]. In previous work, Yulia and Suhandy [38] reported four influential wavelengths at 263, 297, 330 and 350 nm for discrimination between fresh and expired Lampung robusta coffee. Figure 4 shows the contribution of each wavelength in the interval of 230-350 nm for separating the coffee samples according to different in cherry processing methods.…”

Section: Principal Component Analysis (Pca)mentioning

confidence: 96%

Classification of Lampung robusta Specialty Coffee According to Differences in Cherry Processing Methods Using UV Spectroscopy and Chemometrics

Suhandy

Yulia

2021

Agriculture

Self Cite

View full text Add to dashboard Cite

The postharvest processing factors including cherry processing methods highly influence the final quality of coffee beverages, especially in the composition of several coffee metabolites such as glucose, fructose, the amino acid (glutamic acid), and chlorogenic acids (CGA) as well as trigonelline contents. In this research, UV spectroscopy combined with chemometrics was used to classify a ground roasted Lampung robusta specialty coffee according to differences in the cherry processing methods. A total of 360 samples of Lampung robusta specialty coffee with 1 g of weight for each sample from three different cherry processing methods were prepared as samples: 100 samples of pure dry coffee (DRY), 100 samples of pure semi-dry coffee (SMD), 100 samples of pure wet coffee (WET) and 60 samples of adulterated coffee (ADT) (SMD coffee was adulterated with DRY and WET coffee). All samples were extracted using a standard protocol as explained by previous works. A low-cost benchtop UV-visible spectrometer (Genesys™ 10S UV-Vis, Thermo Scientific, Waltham, MA, USA) was utilized to obtain UV spectral data in the interval of 190–400 nm using the fast scanning mode. Using the first three principal components (PCs) with a total of 93% of explained variance, there was a clear separation between samples. The samples were clustered into four possible groups according to differences in cherry processing methods: dry, semi-dry, wet, and adulterated. Four supervised classification methods, partial least squares–discriminant analysis (PLS-DA), principal component analysis–linear discriminant analysis (PCA-LDA), linear discriminant analysis (LDA) and support vector machine classification (SVMC) were selected to classify the Lampung robusta specialty coffee according to differences in the cherry processing methods. PCA-LDA is the best classification method with 91.7% classification accuracy in prediction. PLS-DA, LDA and SVMC give an accuracy of 56.7%, 80.0% and 85.0%, respectively. The present research suggested that UV spectroscopy combining with chemometrics will be highly useful in Lampung robusta specialty coffee authentication.

show abstract

Section: Principal Component Analysis (Pca)mentioning

confidence: 96%

Classification of Lampung robusta Specialty Coffee According to Differences in Cherry Processing Methods Using UV Spectroscopy and Chemometrics

Suhandy

Yulia

2021

Agriculture

Self Cite

View full text Add to dashboard Cite

show abstract

“…The spectral data were pre-treated using standard normal variaaite (SNV) with thea spectral range spectral of 230--400 nm. The results of this research show that this approach can be used to discriminate each sample successfully with a 100% correct classification rate (Yulia and Suhandy, 2018).…”

Section: Activity and Quality Determinationmentioning

confidence: 81%

Implementation of chemometrics as a Solution to detecting and preventing falsification of herbal medicines in Southeast Asia: A review

Nur¹,

Syifa²,

Mustafidah³

et al. 2021

J Appl Pharm Sci

View full text Add to dashboard Cite

Herbal medicine has been known for centuries as one of the sophisticated traditional medicine systems and is widely used in Southeast Asia. Based on their beneficial and economical values, herbal medicines are sometimes found falsified. Chemometrics is a potential tool be developed to detect and prevent falsification. This review aimed to explore the application of chemometrics using certain chemical and biological responses for detecting the adulteration of herbal medicines in Southeast Asia. The study was carried out as a narrative review to evaluate published papers between 2000 and 2020. A total of 34 papers met the inclusion criteria and were reviewed and evaluated. Reviewed articles reveal that chemometrics successfully detected the falsification of herbal medicine with great accuracy and flexibility. Chemometrics was advantageous, practical, and cost-effective to detect adulteration and prevent falsification of herbal medicines. Nonetheless, the data published still diminish compared to the number of herbal medicines in Southeast Asia. Updated, verified, and integrated data among Southeast Asia researchers may be collected to sharpen the chemometric method. The implementation of chemometrics in Southeast Asia to detect and prevent herbal medicines was fundamental and increased the potency of herbal medicines.

show abstract

“…The percentages of cumulative explained variance (CEV) of the PC were used to determine the optimal number of PC included in the calculation of PCA. The result of PCA was when the CEV is 90% or more [14].…”

Section: Discussionmentioning

confidence: 99%

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

Suhandy

Kusumiyati

Kuncoro

et al. 2022

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard 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.

show abstract

Identification of fresh and expired ground roasted robusta coffee using UV-visible spectroscopy and chemometrics

Cited by 19 publications

References 20 publications

Classification of Lampung robusta Specialty Coffee According to Differences in Cherry Processing Methods Using UV Spectroscopy and Chemometrics

Classification of Lampung robusta Specialty Coffee According to Differences in Cherry Processing Methods Using UV Spectroscopy and Chemometrics

Implementation of chemometrics as a Solution to detecting and preventing falsification of herbal medicines in Southeast Asia: A review

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

Contact Info

Product

Resources

About