can zhang

Ms. can zhang

none
orcid

Research Focus & Metrics

Academic Career Length

6Years (2021-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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4 July 2022 in Frontiers in Chemistry
Verified
Journal Article
Open access
KZKangyi Zhang
Kangyi Zhang
LGLingling Gao
Lingling Gao
CZcan zhang
can zhang
TFTao Feng
Tao Feng
HZHaining Zhuang
Haining Zhuang
To establish a rapid and accurate method for detecting volatile components of corn, which will guide the production of corn products beloved by consumers. The fingerprints of corns under different treatments, including native, washing, blanching, precooling, freezing, steaming, boiling, frying, and freeze-drying, were depicted via gas chromatography ion mobility spectrometry (GC-IMS) and gas chromatography-mass spectrometry (GC-MS). It was found via the Venn diagram and relative odor activity value (ROAV) that n-hexanal, 1-octene-3-ol, decylaldehyde, and 2-pentylthiazole could be the key flavor compounds present in corns. In addition, according to volatile fingerprint characteristics and the aroma profile of sensory evaluation, it was found that corns could be divided into four categories, which was consistent with the results of GC-IMS. Also, the results of the sensory panel showed that steamed, boiled, and fried corns were much more popular than corns under other treatments with the panel. The results indicated that a rapid method to classify products was established by GC-IMS. A suitable processing technology could produce a specific flavor, and further refined research might be focused on finding the best way to process corns.

27 July 2021 in Journal of Food Biochemistry
Verified
Journal Article
Closed access
PDF file
KZKangyi Zhang
Kangyi Zhang
CZcan zhang
can zhang
LGLingling Gao
Lingling Gao
HZHaining Zhuang
Haining Zhuang
TFTao Feng
Tao Feng
GXGuozhen Xu
Guozhen Xu

5 November 2021 in Journal of Food Quality
Verified
Journal Article
Open access
PDF file
KZKangyi Zhang
Kangyi Zhang
CZcan zhang
can zhang
HZHaining Zhuang
Haining Zhuang
YLYue Liu
Yue Liu
TFTao Feng
Tao Feng
BNBin Nie
Bin Nie
Volatile profiles of peas under 9 kinds of different treatments including native, washing, blanching, precooling, freezing, steaming, boiling, frying, and freeze-drying were characterized by GC-IMS and GC-MS. The differences of volatile compounds in different peas were observed from the characteristic fingerprints by GC-IMS. The Venn diagram found that the common flavor substances codetected by GC-IMS and GC-MS were n-hexanal, nonanal, 1-octene-3-ol, benzaldehyde, 6-methyl-5-hepten-2-one, trans-2-octenal, and 2-ethyl-3,5-dimethylpyrazine, which were speculated to be the key flavor substances of peas. The cluster analysis of the heat map conducted towards the differences of volatile components in peas under different treatments; the results indicated that peas could be mainly divided into four groups, which was consistent with the above conclusion of GC-IMS. Eight sensory descriptors were used to evaluate the aroma notes: sweet flowers, fat fragrance, waxy aldehydes, mushroom hay, roasted potato with nuts, vegetable-like bean, spicy dry tar, and bitter almond from the sensory analysis, and the sensory analysis also showed good agreement with the results of GC-IMS and GC-MS. The results indicated that the volatile compounds of peas under different treatments could be visualized and identified quickly via GC-IMS, and the samples could be clearly classified based on the difference of volatile compounds. Practical Application. In the study, fingerprints coupled with cluster analysis were a visualized method for the identification of volatile compounds. Meanwhile, a new method, the Venn diagram with OAV, was used to identify the key-aroma of products. Finally, a rapid method is established to classify products by GC-IMS. In future practical applications, GC-IMS can be used to classify products from different origins and different manufacturers. Similarly, it can identify fake and inferior products and whether the products have deteriorated. In addition, this research will provide a new strategy to find the relationship between flavor compounds and various processed technology towards different cereals.

1 August 2025 in Plant Disease
Verified
Journal Article
Closed access
LGLingling Gao
Lingling Gao
YLYunlong Lv
Yunlong Lv
CZcan zhang
can zhang
WNWenlong Niu
Wenlong Niu
HLHonglian Li
Honglian Li
KWKe Wang
Ke Wang
Root-lesion nematode (RLN), Pratylenchus zeae Graham, 1951, is a serious nematode pest in a number of agronomic and industrial crops (Liu et al. 2017). Wheat (Triticum aestivum) is one of the most important food crops in Anhui province of China. In May 2023, a survey was conducted for RLNs in winter wheat fields in Woyang county of Bozhou City, Anhui province, China. The samples were collected about 20 days before wheat (cv. Gushenmai 19) harvest. The plants were growing poorly, with distinct brown lesions on the wheat roots. The RLNs were extracted with the modified Baermann funnel apparatus (Hooper et al. 2005). The RLNs were found in eight collected samples, an average of 51 nematodes per gram of root and 128 nematodes per 100 cm3 of soil. The extracted RLNs were disinfected with 0.3% streptomycin sulfate and one individual female nematode were cultured on carrot disks at 25°C for propagation as described before (Wang et al. 2021). The RLNs species identification was based on morphological and molecular criteria. The main morphological measurements of adult females (n = 15) included body length = 490.5 μm (mean) ± 13.1 (standard deviation) (range = 471.3 to 523.1 μm), stylet length = 16.1 μm ± 0.7 (14.0 to 16.9 μm), tail length = 27.3 μm ± 5.3 (18.9 to 34.1 μm), a = 24.8 ± 1.8 (21.9 to 27.8), b = 5.2 ± 0.3 (4.5 to 5.9), c = 17.8 ± 1.9 (14.9 to 20.3), two annules on the lip region. No males were found in the specimens. The morphological characters of this population are consistent with P. zeae as described previously (Castillo and Vovlas, 2007). Furthermore, the individual female was used for the molecular identification, and the DNA was extracted as described previously (Wang et al. 2011). The primers of D2A/D3B (Subbotin et al. 2006) and TW81/AB28 (Vovlas et al. 2011) were used to amplify the rDNA 28S D2-D3 region and rDNA-ITS region, respectively. The PCR products were sequenced, the newly obtained sequences of the rDNA 28S D2-D3 region (782 bp) and rDNA-ITS region (669 bp) in this study were submitted to NCBI. The obtained 28S D2-D3 region sequence (GenBank Accession No. PQ859281 and PV083139) had 100% identity with P. zeae sequences available from GenBank (KY424256 and KY424263). The obtained ITS sequences in this study (PQ857687 and PV089700) had more than 98% identity with P. zeae sequences available from GenBank (OP456372 and OP466367). Both morphological and molecular data confirmed the presence of P. zeae. To validate the reproductive capacity of the RLNs on winter wheat, a greenhouse experiment was conducted at 25°C, following the modified Koch's postulates protocol. Wheat plants were grown in 8 pots, each with three plants (cv. Gushenmai 19) were inoculated with 1000 P. zeae and grown in 1.5-liter pots. Two months after inoculation, the wheat roots were washed and brown lesions were observed. RLNs in the soil and roots were extracted as previously described and the population was found to have increased substantially. The average of final number of nematodes/pot was about 1859 in soil and 793 in roots. The reproduction factors (final population/initial population) were greater than 1 (mean 2.65). Those results confirmed that this nematode population infects and reproduces well on this wheat cultivar. P. zeae has only been reported on winter wheat in Shanxi Province of China (Liu et al. 2007). To our knowledge, this is the first report of P. zeae infecting winter wheat in Anhui province of China. Since P. zeae can cause considerable damage to winter wheat, strategic measures should be taken to prevent the spread of P. zeae to other regions.