
CLC number:
On-line Access: 2025-10-25
Received: 2025-05-26
Revision Accepted: 2025-08-28
Crosschecked: 0000-00-00
Cited: 0
Clicked: 12
Enru Ye (???), Jing He (??), Lingna Zhang (???), Chaofan He (???), Qiuju Zhou (???), Juan Xu (??), Meifu Gan (???) & Yong He (??) . Pathological quality control chips for tuberculosis[J]. Journal of Zhejiang University Science D, 2025, 8(6): 962-975.
@article{title="Pathological quality control chips for tuberculosis",
author="Enru Ye (???), Jing He (??), Lingna Zhang (???), Chaofan He (???), Qiuju Zhou (???), Juan Xu (??), Meifu Gan (???) & Yong He (??) ",
journal="Journal of Zhejiang University Science D",
volume="8",
number="6",
pages="962-975",
year="2025",
publisher="Zhejiang University Press & Springer",
doi="10.1631/bdm.2500274"
}
%0 Journal Article
%T Pathological quality control chips for tuberculosis
%A Enru Ye (???)
%A Jing He (??)
%A Lingna Zhang (???)
%A Chaofan He (???)
%A Qiuju Zhou (???)
%A Juan Xu (??)
%A Meifu Gan (???) & Yong He (??)
%J Journal of Zhejiang University SCIENCE D
%V 8
%N 6
%P 962-975
%@ 1869-1951
%D 2025
%I Zhejiang University Press & Springer
%DOI 10.1631/bdm.2500274
TY - JOUR
T1 - Pathological quality control chips for tuberculosis
A1 - Enru Ye (???)
A1 - Jing He (??)
A1 - Lingna Zhang (???)
A1 - Chaofan He (???)
A1 - Qiuju Zhou (???)
A1 - Juan Xu (??)
A1 - Meifu Gan (???) & Yong He (??)
J0 - Journal of Zhejiang University Science D
VL - 8
IS - 6
SP - 962
EP - 975
%@ 1869-1951
Y1 - 2025
PB - Zhejiang University Press & Springer
ER -
DOI - 10.1631/bdm.2500274
Abstract: Globally, approximately 10 million new tuberculosis (TB) cases are reported annually. Delayed diagnosis due to low detec
tion rates is the primary cause of mortality. Although pathological examination is commonly used for diagnosing TB, 5%
30% of cases remain undiagnosed, emphasizing the urgent need to establish quality control (QC) standards to reduce rates of
misdiagnosis and missed diagnoses. To address this, we introduced a novel QC chip for detecting Mycobacterium tuberculo
sis (MTB). A quantitative pathological QC model was constructed by precisely and uniformly integrating MTB and HeLa
cells into a photocurable hydrogel. This model was then sliced into uniform sections to create QC chips. It demonstrated that
the QC chips exhibited no significant differences in intra-batch or inter-batch variation (coefficient of variation <5%), and re
mained stable at ?80 C for one year. Furthermore, these chips were found to be 100% effective when tested with 240 clini
cal samples (200 with special staining and 40 with polymerase chain reaction). In addition to enhancing TB detection rates,
this approach offers visualization, quantification, and sustainable production. Overall, this work provides a novel framework
for developing QC chips for pathological testing, offering a reliable solution to enhance clinical diagnostic workflows.
Open peer comments: Debate/Discuss/Question/Opinion
<1>