Elemental detection of arabica and robusta green bean coffee using laser-induced plasma spectroscopy

Abdulmadjid, Syahrun Nur; Meilina, Hesti; Hedwig, Rinda; Kurniawan, Koo Hendrik

doi:10.1063/1.4973099

Cited by 5 publications

(8 citation statements)

References 17 publications

(17 reference statements)

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Plastics, like other organic materials, mostly consist of carbon (C) and followed by hydrogen (H) and oxygen (O) [9,29]. Hence, we present the data of C I 247.86 nm emission line of all collected samples in Figure 2.…”

Section: Libs Spectral Profiles Of Plastic Wastementioning

confidence: 99%

“…CN bands are common in carbon-containing material, especially when the ablation is carried out in an open-air [9,12]. To observe the CN bands, LIBS spectra of each plastic waste focusing on the wavelength range between 300 nm and 400 nm are presented (Figure 3).…”

Section: Libs Spectral Profiles Of Plastic Wastementioning

confidence: 99%

“…Moreover, plastic waste should be classified further based on the contents of impurities and contaminants [3]. With our experience in previous researches of analyzing organic [7][8][9] or inorganic materials [10][11][12][13], we believed laser-induced breakdown spectroscopy (LIBS) could be the right technology to be applied to discriminate the plastic waste.…”

Section: Introductionmentioning

confidence: 99%

See 2 more Smart Citations

Discrimination of Plastic Waste using Laser-induced Breakdown Spectroscopy-principal Component Analysis: Highlighting Molecular LIBS

Abdulmadjid

Hartadi

Mitaphonna

et al. 2023

IJE

View full text Add to dashboard Cite

Growing plastic waste emission as a planetary threat urges the development of a rapid and efficient recycling process, especially during the classification process. Herein, we aimed to solve the problem by employing laser-induced breakdown spectroscopy (LIBS) in combination with principal component analysis (PCA) as means for automated plastic waste classification. Samples used in the study were plastic wastes derived from beverage, food, and stationery products of different brands. The Nd:YAG laser was shot to the sample surface without a pre-treatment and under an open-air system (laser energy= 54 mJ; time delay= 1-2 μs). The spectral profile of each plastic waste revealed the presence of metal components such as those indicated by Ca II 396.85 nm, Al I 395.92 nm, Mg I 383.83 nm, and Fe I 404.85 emission lines. Peak intensities of organic material-related emission lines (C I 247.86 nm, O II 777.32 nm, O I 844.48 nm, H I 666.22 nm, N II 818.83 nm, and N II 821.62 nm) were revealed fluctuating, suggesting that a mere LIBS spectral analysis could not discriminate the plastic waste. PCA analysis revealed that C2 molecular band 490-520 nm had the most discriminative properties against polyethylene terephthalate (PET) and polypropylene (PP). The molecular band was generated differently between PET and PP because of their contrast thermal behavior. In conclusion, molecular LIBS-PCA could be used to distinguish PET and PP in a simple and rapid way.

show abstract

Section: Libs Spectral Profiles Of Plastic Wastementioning

confidence: 99%

Section: Libs Spectral Profiles Of Plastic Wastementioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Discrimination of Plastic Waste using Laser-induced Breakdown Spectroscopy-principal Component Analysis: Highlighting Molecular LIBS

Abdulmadjid

Hartadi

Mitaphonna

et al. 2023

IJE

View full text Add to dashboard Cite

show abstract

“…The chemical analysis through LIBS have many advantages compared with other techniques, for example, (i) it is based on the atomic emission spectroscopy which does not require any sample preparation (ii) a small size sample can be analyzed by this technique (iii) it is a fast technique, requires only a couple of seconds to capture the optical emission spectrum (iv) a variety of samples from every state of matter can be analyzed and more importantly, the setup is simple and cost effective as compared to the other chemical analysis systems. The chemical compositions of variety of samples have been studied previously using LIBS [10][11][12][13]. Various researchers have tried to improve the detection limit and to determine the sulfur and carbon contents in the Coal samples using LIBS based techniques [14,15] such as algorithm-based techniques [16][17][18][19][20][21][22][23], Kernel-based extreme learning machine [24] and partial least square (PLS) regression [25].…”

Section: Laser Physicsmentioning

confidence: 99%

On the compositional analysis of Coal using calibration free laser induced breakdown spectroscopy

Iqbal¹,

Uddin²,

Abbasi³

et al. 2019

Laser Phys.

View full text Add to dashboard Cite

In this contribution, we present analysis of the total carbon contents and the major constituents in the Reference Coal sample of known concentration (SARM 20) and the Pakistani Thar Coal samples using laser induced breakdown spectroscopy (LIBS). A high-power Q-switched Nd:YAG Laser, (532nm, 5ns pulse width and 10 Hz repletion rate) was used to produce the Coal plasma in air and the optical emission spectra were registered using a HR 4000 spectrometer covering the wavelength region from 200 nm to 1100 nm. The emission spectrum of the laser produced plume contains the atomic lines of Ca, Si, Fe, Ti, Mg, Na, K, Li, Al and C along with the traces of Ba, Sr and Mn. The intensities of the observed spectral lines were corrected for self-absorption using the internal reference line self absorption correction method. The excitation temperature was calculated using the Boltzmann plot method and the Stark broadened H α line profile was used to determine the electron number density. The calibration free LIBS (CF-LIBS) technique with a fixed slope method was utilized for the quantification of the carbon and other elements whereas, a laser-ablation time of flight mass spectrometer (LA-TOF-MS) was used to obtain the mass spectra of the same samples. All the elements identified in the optical emission spectrum have been also observed in the LA-TOF-MS mass spectrum. The results reveal that the Thar Coal samples collected from Sindh, Pakistan are comparable to the Reference Coal samples. It is further demonstrated that CF-LIBS and the LA-TOF-MS are efficient, reliable and complementary techniques for analyzing the Coal samples for the total carbon content, elements forming the ash and even for the detection of the trace elements at the ppm level.

show abstract

“…It is noticed that the order of elements concentration from highest to lowest are Ca>K>CN>Na>C for arabica and K>Ca>CN>Na>N for robusta. The ratio of intensities of these elements to C intensity could be used as a marker to discriminate kind of coffee for the purpose of authentication (Abdulmadjid, Meilina, Hedwig & Kurniawan, 2017).…”

Section: Identification Of Coffeementioning

confidence: 99%

Chromatographic Methods for Coffee Analysis: A Review

Yashin¹,

Yashin²,

Xia³

et al. 2017

JFR

View full text Add to dashboard Cite

Coffee has been one of the most commercialized food products and most widely researched beverage in the world for decades. It is considered a functional food, primarily due to its high content of compounds that exert antioxidant and other beneficial biological properties. This review summarized the data from analysis of coffee components, both volatile constituents and non-volatile high-molecular weight compounds performed by various chromatographic methods. A list of compounds identified by gas chromatography with mass spectrometry which define the aroma of coffee is provided. Publications on the measurement of methylxanthines (caffeine, theobromine, and theophylline), chlorogenic acids, diterpenes, sugars, amino acids, gamma-aminobutyric acid, dibasic acids, anions, and other compounds by HPLC and UHPLC-MS are reviewed. An overview of publications on the determination of organic contamination in coffee (PAHs, acrylamides, mycotoxins, etc.) and ways to reduce contamination through production technology and brewing methods are presented. Finally, an overview of the literature on authentication assessment for different grades of coffee grown in different regions is provided.

show abstract

Elemental detection of arabica and robusta green bean coffee using laser-induced plasma spectroscopy

Cited by 5 publications

References 17 publications

Discrimination of Plastic Waste using Laser-induced Breakdown Spectroscopy-principal Component Analysis: Highlighting Molecular LIBS

Discrimination of Plastic Waste using Laser-induced Breakdown Spectroscopy-principal Component Analysis: Highlighting Molecular LIBS

On the compositional analysis of Coal using calibration free laser induced breakdown spectroscopy

Chromatographic Methods for Coffee Analysis: A Review

Contact Info

Product

Resources

About