ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

ObjectiveTo establish a geographical origin identification model for Foeniculi Fructus from Haiyuan， providing a new technical reference for the protection of Haiyuan's geo-authentic medicinal materials and its designation as a national geographical indication agricultural product. MethodsSamples of Foeniculi Fructus were collected from eight producing areas， including Minqin （Gansu）， Bozhou （Anhui）， Qingdao （Shandong）， Dezhou （Shandong）， Urumqi （Xinjiang）， Nujiang （Yunnan）， Gutuo （Inner Mongolia）， and Haiyuan （Ningxia）. Gas chromatography-ion mobility spectrometry （GC-IMS） was used to detect the volatile organic compounds （VOCs） in samples from these geographic origins. VOCs were qualitatively analyzed through dual matching with the National Institute of Standards and Technology （NIST） mass spectral database and the IMS drift time database. Using the Reporter module and Gallery Plot visualization tools within the LAV analytical platform， VOC fingerprint profiles characterizing geographic origins were constructed. A non-targeted analytical strategy was adopted， and 97 VOCs detected via GC-IMS were subjected to principal component analysis （PCA） and partial least squares discriminant analysis （PLS-DA） based on their differential distribution patterns to construct an origin identification model for Foeniculi Fructus from Haiyuan region. Key discriminative markers were screened using variable importance in projection （VIP） values greater than 1. ResultsA total of 97 VOCs were identified， including alcohols， aldehydes， ketones， esters， organic acids， terpenoids， ethers， alkenes， and benzenes. The PLS-DA model， based on VOCs data obtained by GC-IMS， effectively distinguished Foeniculi Fructus in Haiyuan region from those of other origins. During cross-validation， the model achieved a prediction parameter （Q²） of 0.976 and a goodness-of-fit parameter （R²） of 0.936， with no overfitting observed in permutation testing. Twelve key flavor markers with VIP > 1 were identified as characteristic indicators of Haiyuan origin. ConclusionA stable and highly predictive origin identification model for Foeniculi Fructus from Haiyuan was successfully established using GC-IMS technology， PLS-DA， and VIP-based marker screening. This model provides a novel technical strategy for accurately distinguishing Foeniculi Fructus in Haiyuan region from other regional varieties and offers new technical support for its protection as a geo-authentic medicinal material and a nationally designated geographical indication agricultural product in China.

Objective To analyze the relationship between implant placement methods and the change of alveolar crest mucosal thickness under different gingival thickness.Methods A total of 98 patients with posterior tooth loss from June 2022 to December 2022 were selected,and a total of 120 implants were implanted.There were 90 samples in the thin gingiva group(gingiva thickness＜3 mm)and 30 samples in the thick gingiva group(gingiva thickness≥3 mm).For the thin gingival cases,three different surgical meth-ods were used for one-stage implantation.Group A(32 teeth)received ridge trimming before implantation.In group B,30 implants were placed under the bone.In group C,28 teeth used tent technique to analyze the vertical soft tissue thickness changes of alveolar crest before and 3～4 months after osseointegration.Results The thin gingival group was treated with three different treatments A,B and C.The gingival thickness increased from Ha(1.96±0.35)mm,Hb(1.89±0.42)mm,Hc(1.96±0.29)mm to H'a(2.88±0.23)mm,H'b(2.93±0.30)mm,H'c(2.65±0.22)mm,respectively.The alveolar crest vertical mucosal thickness of the three groups increased significantly(P＜0.05).The increase in group A and B(about 1 mm)was slightly higher than that in group C(about 0.6 mm),while there was no significant difference between the control group Hd(3.60±0.24)mm and H'd(3.36±0.47)mm(P＞0.05).In addition,the intraoperative gingival thickness measurements(Ha,Hb,Hc,Hd)were basically consistent with the CBCT imaging measurements(HA,HB,HC,HD),and there was no significant difference(P＞0.05).Conclusion Careful analysis of the vertical thickness of the alveolar crest to the mucosa before implant surgery and selection of different implantation methods can increase the vertical thickness of the alveolar crest to the appropriate position,thereby maintaining the stability of the bone around the implant and improving the success rate of the implant.

Objective To analyze the relationship between implant placement methods and the change of alveolar crest mucosal thickness under different gingival thickness.Methods A total of 98 patients with posterior tooth loss from June 2022 to December 2022 were selected,and a total of 120 implants were implanted.There were 90 samples in the thin gingiva group(gingiva thickness＜3 mm)and 30 samples in the thick gingiva group(gingiva thickness≥3 mm).For the thin gingival cases,three different surgical meth-ods were used for one-stage implantation.Group A(32 teeth)received ridge trimming before implantation.In group B,30 implants were placed under the bone.In group C,28 teeth used tent technique to analyze the vertical soft tissue thickness changes of alveolar crest before and 3～4 months after osseointegration.Results The thin gingival group was treated with three different treatments A,B and C.The gingival thickness increased from Ha(1.96±0.35)mm,Hb(1.89±0.42)mm,Hc(1.96±0.29)mm to H'a(2.88±0.23)mm,H'b(2.93±0.30)mm,H'c(2.65±0.22)mm,respectively.The alveolar crest vertical mucosal thickness of the three groups increased significantly(P＜0.05).The increase in group A and B(about 1 mm)was slightly higher than that in group C(about 0.6 mm),while there was no significant difference between the control group Hd(3.60±0.24)mm and H'd(3.36±0.47)mm(P＞0.05).In addition,the intraoperative gingival thickness measurements(Ha,Hb,Hc,Hd)were basically consistent with the CBCT imaging measurements(HA,HB,HC,HD),and there was no significant difference(P＞0.05).Conclusion Careful analysis of the vertical thickness of the alveolar crest to the mucosa before implant surgery and selection of different implantation methods can increase the vertical thickness of the alveolar crest to the appropriate position,thereby maintaining the stability of the bone around the implant and improving the success rate of the implant.

This article reviews relevant literature on the prevention and treatment of cancer with hesperidin published in the past 10 years by searching electronic databases such as China National Knowledge Infrastructure（CNKI）， Wanfang， and PubMed， and summarizes the research progress on the anticancer mechanism of hesperidin. Hesperidin has a wide range of pharmacological effects， including anti-inflammatory， antioxidant， antibacterial， antiviral， anticancer， immune-regulatory， anti-radiation， neuroprotective and cardiovascular protective properties and so on. Its anticancer mechanisms mainly include inhibiting cancer cell proliferation， promoting apoptosis， reducing angiogenesis， inhibiting invasion and migration of cancer cells， regulating immunity and autophagy， and exerting antioxidant and anti-inflammatory effects. As a broad-spectrum anticancer drug， hesperidin manifests chemo-preventive and therapeutic effects across various cancers， contingent upon its multifaceted anticancer mechanisms. Furthermore， this article summarizes the synergistic effects of hesperidin in combination with cisplatin， doxorubicin， cyclophosphamide and paclitaxel. It elucidates that hesperidin can enhance the cytotoxicity of these anticancer drugs against cancer cells while mitigating drug resistance and adverse side effects. Nonetheless， the clinical use is somewhat constrained due to its poor water solubility and limited bioavailability. Therefore， this article also outlines the current strategies for enhancing hesperidin's bioavailability， including structural modification， combination with other chemical substances， and utilization of nano drug carriers.The discovery of derivatives of hesperidin not only preserves the anticancer efficacy of hesperidin, but also effectively overcomes the shortcomings of poor water solubility and low bioavailability of hesperidin, effectively predicting the good application prospects of hesperidin and its derivatives.

Objective To investigate the optimal centrifugation conditions for preparation of rat and mouse platelet rich plasma (PRP) by single centrifugation.Methods Arterial blood of rats and mice by femoral artery cannulation and cardiac puncture were obtained respectively, anticoagulation with 14％CPDA-1, while white blood cells in the blood were filtered out.Then the blood was divided into sterile EP tubes, while PRP was prepared by centrifugation in different conditions (the centrifugal force was 300×g-600×g, and the centrifugal time was 4-12min).The number of blood cells of the anticoagulant whole blood, the leukocyte-depleted blood sample and PRP were counted by hematology analyzer, and platelet recovery rates were compared between different methods.Results The platelet recovery rate was highest when the blood samples of rats and mice were centrifuged at 400×g and 300×g for 8min respectively.Conclusion It is a key to prepare PRP by single centrifugation that selecting the appropriate centrifugal force and time and reaching a critical state before the formation of the buffy coat.