LC-MS/MS-QTOF dataset of chemical compounds detected in honey samples from Bali and Lombok, Indonesia

IF 1 Q3 MULTIDISCIPLINARY SCIENCES Data in Brief Pub Date : 2024-09-05 DOI:10.1016/j.dib.2024.110884
Fahrul Huyop , Saeed ullah , Huszalina Hussin , Razauden Mohamed Zulkifli , Nurul Huda , Nyoman Semadi Antara , Roswanira Abdul Wahab , Satrijo Saloko , Anak Agung Sagung Putri Risa Andriani , Che Muhammad Khairul Hisyam Ismail , Azzmer Azzar Abdul Hamid , I. Nyoman Suarsana , Ida Bagus Wayan Gunam
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引用次数: 0

Abstract

Honey production is susceptible to manipulation by unscrupulous sellers, making honey authentication crucial to prevent fraud. The process of authenticating honey often necessitates the use of various analytical techniques, such as identifying the chemicals present in honey by means of hyphenated mass spectrometry. Here, we report on the investigation of the chemical composition of three honey samples collected at two locations in Lombok and Bali by liquid chromatography mass spectrometry (LC-MS). The three datasets include information regarding compound name, mass, retention times, as well as findings from database searches. Collectively, these data afford first insights into the compositional profile of honey samples from this specific geographical area.

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印度尼西亚巴厘岛和龙目岛蜂蜜样品中检测到的化合物的 LC-MS/MS-QTOF 数据集
蜂蜜的生产很容易受到不法销售商的操纵,因此,蜂蜜鉴定对于防止欺诈至关重要。在鉴定蜂蜜真伪的过程中,往往需要使用各种分析技术,例如通过联用质谱法鉴定蜂蜜中的化学成分。在此,我们报告了通过液相色谱质谱法(LC-MS)对龙目岛和巴厘岛两地采集的三种蜂蜜样本的化学成分进行调查的结果。这三个数据集包括化合物名称、质量、保留时间以及数据库搜索结果等信息。总体而言,这些数据首次揭示了这一特定地理区域蜂蜜样本的成分概况。
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来源期刊
Data in Brief
Data in Brief MULTIDISCIPLINARY SCIENCES-
CiteScore
3.10
自引率
0.00%
发文量
996
审稿时长
70 days
期刊介绍: Data in Brief provides a way for researchers to easily share and reuse each other''s datasets by publishing data articles that: -Thoroughly describe your data, facilitating reproducibility. -Make your data, which is often buried in supplementary material, easier to find. -Increase traffic towards associated research articles and data, leading to more citations. -Open up doors for new collaborations. Because you never know what data will be useful to someone else, Data in Brief welcomes submissions that describe data from all research areas.
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