Amino Acid Profile as a Feasible Tool for Determination of the Authenticity of Fruit Juices

Asadpoor, Mostafa; Ansarin, Masoud; Nemati, Mahboob

doi:10.5681/apb.2014.052

Cited by 9 publications

(3 citation statements)

References 3 publications

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“…The highest glutamic acid content was found in the berry extract, while the lowest was in the flower extract. The presence of berries in the extract derived from a mixture of morphological parts can reinforce glutamic acid's prevalence, as Asadpoor et al [53] reported for the nine fruit juices. The role of glutamic acid as a sole carbon and nitrogen source for microorganisms was revealed by Liu et al [54], who indicated a growth-promoting ability toward S. enterica and Pseudomonas spp.…”

Section: Discussionmentioning

confidence: 77%

Scrutinizing the Antimicrobial and Antioxidant Potency of European Cranberry Bush (Viburnum opulus L.) Extracts

Juhnevica-Radenkova,

Krasnova,

Seglina

et al. 2024

Horticulturae

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In the process of considering the documented health benefits of Viburnum opulus L. (V. opulus), including its anti-inflammatory and antioxidant activities, the present study was designed to qualitatively and quantitatively evaluate the biochemical profile and antimicrobial potency of four commercially available V. opulus extracts. These extracts were obtained from its flowers, bark, berries, and a mixture thereof by cold ultrasound-assisted extraction. An examination of the V. opulus extracts indicated a relative abundance of group compounds, such as phenolics, flavonoids, tannins, and anthocyanins, which are responsible for antioxidant activity (AOA). The widest range in all of the four group compounds was detected in the V. opulus extract sourced from berries, whereas the narrowest range was found in those obtained from flowers. The HPLC-ESI-TQ-MS/MS technique displayed relative fluctuations in the concentrations of individual amino acids (AAs) over the four V. opulus extracts. The prevalence of proline was marked in the flower-derived extract, which made up 63.3% of the total AAs, while aspartic and glutamic acids dominated in the berry-derived extract by contributing up to 29.2 and 24.4% to the total AA content, respectively. Profiling of the individual phenolic compounds disclosed the superiority of chlorogenic acid (up to 90.3%) in the berry and mixed extracts, as well as catechin (up to 57.7%) and neochlorogenic acid (11.1%) in the bark extract, which conveyed a remarkable contribution toward antimicrobial activity. The lowest content of individual phenolics was found in the flower extract. Owing to its substantially denser bioactive composition, the V. opulus berries and bark extracts exhibited markedly better AOA, which was pinpointed by three independent methods, i.e., DPPH•, FRAP, and ABTS•+, than those obtained from flowers or a mixture of V. opulus morphological parts. As part of the antimicrobial activity testing, the V. opulus extracts exhibited outstanding inhibitory activity and a homeopathic mode of action. The V. opulus extracts obtained from a mixture, bark, and berries were more active against 8 out of 19 selected test microorganisms at minimum inhibitory concentration (MIC) values that ranged from 0.24 to 0.49 µL mL−1. Overall, the extracts of V. opulus were found to be effective against Gram-positive and Gram-negative bacteria. However, their conceivable exploitation as functional or pharmaceutical ingredients must be further clarified within in vivo models.

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Section: Discussionmentioning

confidence: 77%

Scrutinizing the Antimicrobial and Antioxidant Potency of European Cranberry Bush (Viburnum opulus L.) Extracts

Juhnevica-Radenkova,

Krasnova,

Seglina

et al. 2024

Horticulturae

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“…Additionally, a very precise adjustment of the pH value is required to ensure the experiment reproducibility without signal shifting. Asadpoor et al described the analysis of the amino acid content by high-performance liquid chromatography–fluorescence detection (HPLC-FLD) for the authenticity control of fruit juices . Abad-García et al used polyphenolic profiles obtained by HPLC diode array detection (HPLC-DAD) coupled to MS and PLSR to determine tangerine juice addition to orange juice .…”

Section: Introductionmentioning

confidence: 99%

“…Asadpoor et al described the analysis of the amino acid content by highperformance liquid chromatography−fluorescence detection (HPLC-FLD) for the authenticity control of fruit juices. 15 Abad-Garci ́a et al used polyphenolic profiles obtained by HPLC diode array detection (HPLC-DAD) coupled to MS and PLSR to determine tangerine juice addition to orange juice. 16 Mondello et al determined the anthocyanin content by HPLC-UV as an authenticity parameter of blood orange juices.…”

Section: ■ Introductionmentioning

confidence: 99%

Volatilomic Profiling of Citrus Juices by Dual-Detection HS-GC-MS-IMS and Machine Learning—An Alternative Authentication Approach

Brendel

Schwolow

Rohn

et al. 2021

J. Agric. Food Chem.

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A prototype dual-detection headspace−gas chromatography−mass spectrometry−ion mobility spectrometry (HS-GC-MS-IMS) system was used for the analysis of the volatile profile of 47 Citrus juices including grapefruit, blood orange, and common sweet orange juices without requiring any sample pretreatment. Next to reduced measurement times, substance identification could be improved substantially in case of co-elution by considering the characteristic drift times and m/z ratios obtained by IMS and MS. To discriminate the volatile profiles of the different juice types, extensive data analysis was performed with both datasets, respectively. By principal component analysis (PCA), a distinct separation between grapefruit and orange juices was observed. While in the IMS data grapefruit juices not from fruit juice concentrate could be separated from grapefruit juices reconstituted from fruit juice concentrate, in the MS data, the blood orange juices could be differentiated from the orange juices. This observation leads to the assumption that the IMS and MS data contain different information about the composition of the volatile profile. Subsequently, linear discriminant analysis (LDA), support vector machines (SVM), and the k-nearest-neighbor (kNN) algorithm were applied to the PCA data as supervised classification methods. Best results were obtained by LDA after repeated cross-validation for both datasets, with an overall classification and prediction ability of 96.9 and 91.5% for the IMS data and 94.5 and 87.9% for the MS data, respectively, which confirms the results obtained by PCA. Additional data fusion could not generally improve the model prediction ability compared to the single data, but rather for certain juice classes. Consequently, depending on the juice class, the most suitable dataset should be considered for the prediction of the class membership. This volatilomic approach based on the dual detection by HS-GC-MS-IMS and machine learning tools represent a simple and promising alternative for future authenticity control of Citrus juices.

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Conductometric sensor with calixarene-based chemosensitive element for the arginine detection

et al. 2018

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Amino Acid Profile as a Feasible Tool for Determination of the Authenticity of Fruit Juices

Cited by 9 publications

References 3 publications

Scrutinizing the Antimicrobial and Antioxidant Potency of European Cranberry Bush (Viburnum opulus L.) Extracts

Scrutinizing the Antimicrobial and Antioxidant Potency of European Cranberry Bush (Viburnum opulus L.) Extracts

Volatilomic Profiling of Citrus Juices by Dual-Detection HS-GC-MS-IMS and Machine Learning—An Alternative Authentication Approach

Conductometric sensor with calixarene-based chemosensitive element for the arginine detection

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