Tobacco Science and Technology
Tobacco Science and Technology is a peer reviewed journal since 2013 up to now. The journal is monthly publishing journal.The main scope of Tobacco Science and Technology) is Agricultural engineering/Agricultural science, Biological Engineering/ Biological science, bio-chemistry, chemistry, public health, pharmaceutical science and so on. Our journal welcome original papers from everywhere in the world.
Volume 58 , Issue 04
20 Nov 2025SUBMISSION DEADLINE
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Volume - 58 , Issue 04
30 Nov 2025PUBLISH ON
AIM AND SCOPES
Tobacco Science and Technology
Agricultural engineering
Agricultural science
Biological Engineering
Biological science
bio-chemistry
chemistry
public health
pharmaceutical science
All Published Jurnal
Tobacco Science and Technology
Design and application of device for removing and installing compression band unit in tobacco cutter
Micromelalopha troglodyta (Graeser) has been one of the most serious pests on poplars in China. We used Illumina HiSeq 2000 sequencing to construct an antennal transcriptome and identify olfactory-related genes. In total, 142 transcripts were identifed, including 74 odorant receptors (ORs), 32 odorant-binding proteins (OBPs), 13 chemosensory proteins (CSPs), 20 ionotropic receptors (IRs), and 3 sensory neuron membrane proteins (SNMPs). The genetic relationships were obtained by the phylogenetic tree, and the tissue-specifc expression of important olfactory-related genes was determined by qu
Identification and tissue expression profiles of odor receptor genes in Lasioderma serricorne
Micromelalopha troglodyta (Graeser) has been one of the most serious pests on poplars in China. We used Illumina HiSeq 2000 sequencing to construct an antennal transcriptome and identify olfactory-related genes. In total, 142 transcripts were identifed, including 74 odorant receptors (ORs), 32 odorant-binding proteins (OBPs), 13 chemosensory proteins (CSPs), 20 ionotropic receptors (IRs), and 3 sensory neuron membrane proteins (SNMPs). The genetic relationships were obtained by the phylogenetic tree, and the tissue-specifc expression of important olfactory-related genes was determined by qu
Community structure and diversity analyses of adnascent bacteria on tobacco seeds
Bacteria and fungi present during pile-fermentation of Sichuan dark tea play a key role in the development of its aesthetic properties, such as color, taste, and fragrance. In our previous study, high-throughput sequencing of dark tea during fermentation revealed Aspergillus was abundant, but scarce knowledge is available about bacterial communities during pile-fermentation. In this study, we rigorously explored bacterial diversity in Sichuan dark tea at each specific stage of piling. Analysis of cluster data revealed 2,948 operational taxonomic units, which were divided into 42 ph
Differences in chemical compositions of flue-cured tobacco stems
Yellowing is a key stage in the curing of flue-cured tobacco (Nicotiana tobacum L.) as much of the chemical transformation occurs during this period. This study examined the effect of different yellowing degrees on the value of flue-cured tobacco leaves at the farm level for both processing and manufacturing. The study was conducted in the counties of Chuxiong, Dali, and Yuxi in Yunnan, China over two years. Yellowing treatments have been designed to have either a mild or a regular yellowing degree. Yield, value, appearance, suction property, smoking characteristics, and physical resistance
An emotion classification method for cigarette consumers' evaluation based on combination of BiLSTM and Attention Mechanism
Since the existing music emotion classification researches focus on the single-modal analysis of audio or lyrics, the correlation among models are neglected, which lead to partial information loss. Therefore, a music emotion classification method based on deep learning and improved attention mechanism is proposed. First, the music lyrics features are extracted by Term Frequency-Inverse Document Frequency (TF-IDF) and Word2vec method, and the term frequency weight vector and word vector are obtained. Then, by using the feature extraction ability of Convolutional Neural Network (CNN) and the